Figure 12: Networking different actors though the Academy Cube
Whilst all the different levels of the training system are
affected, special priority should be attached to the expansion
of CPD. In particular, CPD in the workplace
should address the importance of health, physical activity
and lifestyle in ensuring a lengthy working life.
By organising work in a way that fosters learning and
implementing appropriate training strategies, it should
be possible to achieve a human-centric approach to
manufacturing that takes account of differences in employees’
education, experience and skills sets in a way
that strengthens the innovative capacity of both individuals
and businesses. The organisation of work in a
way that fosters learning is also a key requirement for
lifelong learning. In view of the rapid technological
changes expected as a result of the introduction of
CPS-based systems, it should therefore also be one of
the goals of the smart factory. The comparative effectiveness of in-house versus out-of-house learning and
general versus vocational education should be the subject
of further research.
In addition, Industrie 4.0 jobs will be designed to use
technologies such as CPS in order to enhance communication
between employees and integrate job support,
learning tasks and physical training in the workplace
into the standard working day at suitable intervals.
This will require employees’ workload to be monitored
on an ongoing basis.
Job design should also take into account the different
roles performed by employees (from unskilled and
skilled workers or employees with advanced vocational
and technical qualifications to staff members with academic
qualifications such as bachelor’s and master’s
degrees or qualified engineers) as well as differences
in their circumstances such as age, education, experience
or cultural background.
德国的工业4.0
Recommended actions
The Industrie 4.0 Working Group recommends the following measures with regard to qualifications, training
and CPD in the context of Industrie 4.0:
1. Promotion of model projects
Projects should incorporate actions that can be used to develop training and CPD strategies. These should
include strategies to promote mobility between vocational and academic training and between different
training and CPD courses and systems as well as to recognise additional skills that employees possess
outside their specific area of expertise.
2. Establishment and promotion of “best practice networks”
In order to guarantee knowledge transfer and sustainability, training and CPD “best practice networks”
should be established by competitive tender. These networks would be charged with developing and
documenting case studies, networking the various actors and supporting knowledge transfer.
3. Investigation of new approaches to knowledge and skills acquisition in the workplace, development
of digital learning techniques
Digital media and innovative learning technologies (e-learning) will play a prominent role in knowledge
transfer and skills development. In view of technological and demographic change and the fact that different
learners have different requirements, it will be necessary to develop new teaching methods and learning
assistance systems.
4. Promotion of cross-cutting approaches to work organisation
All Industrie 4.0 qualification, training and CPD measures will need to be accompanied by comprehensive
research in the shape of research and implementation partnerships. It will be of fundamental importance to investigate issues relating to work organisation, process design,
management and cooperation, together with their impact on the evolution of work and training in Industrie
4.0. This should also include the issue of how older workers can retain their employability against a backdrop
of increased life expectancy. In order to organise work in a way that fosters learning, it will be necessary
to develop the appropriate training strategies, analysis methods and management models. Overall, this
will present a number of significant challenges for training and CPD, including the need for comprehensive
continuing professional development provision and changes to at least some parts of the training system.
5. Promotion of Industrie 4.0-specific learning content and interdisciplinary cooperation
It will be necessary to promote interdisciplinary cooperation between all disciplines (e.g. manufacturing
engineering, automation engineering and IT) to deliver a systems engineering approach. This will require the
different disciplines to acquire a mutual understanding of each other’s positions and approaches and to
adopt an integrated view of strategy, business processes and systems. Interdisciplinary research will also be
necessary at the interface between technology and the law. Legal experts should be involved from the early
stages of the R&D process. By the same token, engineers will increasingly need to acquire a basic understanding
of the legal issues so that they can engage in a full dialogue with their legal counterparts.
6. IT-based modelling of technological systems
This includes modelling of the interaction between the real and digital worlds, including the appropriate formal
descriptions, as well as methodological aspects such as modelled mechatronic engineering or contemplating
the development of adaptations to existing systems (delta engineering) as opposed to developing completely
new systems from scratch.
返回页首
Regulatory framework
5.7 Regulatory framework
Just like any other fundamental technological innovation,
the new manufacturing processes associated with
Industrie 4.0 will find themselves confronted with the
existing regulatory framework, a situation that raises
two interconnected challenges. On the one hand, uncertainty
regarding the legality of a new technology or
the associated liability and data protection issues could
inhibit its acceptance and slow down the innovation
process. Conversely, the de facto power of new technologies
and business models can be so great that it
becomes almost impossible to enforce existing legislation.
Consequently, short technological innovation cycles
and the disruptive nature of new technologies can
result in the danger of a chronic “enforcement deficit”
whereby current regulation fails to keep pace with technological
change.
While Industrie 4.0 does not, on the whole, tread completely
uncharted regulatory territory, it does significantly
increase the complexity of the relevant regulatory issues. Two things are required to reconcile regulation
and technology: the formulation of criteria to ensure
that the new technologies comply with the law and development
of the regulatory framework in a way that
facilitates innovation. In the context of Industrie 4.0, it
will often be possible to achieve this through common
law contracts. Both factors require the regulatory analysis
of new technologies to begin as early as possible
during the R&D phase rather than being left until they
are already in use.
Challenges
1. Protecting corporate data
As the Internet of Things becomes established in
smart factories, both the volume and the level of detail
of the corporate data generated will increase. Moreover,
business models will no longer involve just one
company, but will instead comprise highly dynamic
networks of companies and completely new value chains, as demonstrated by the RAN Project10, for example.
Data will be generated and transmitted autonomously
by smart machines and these data will inevitably
cross company boundaries. A number of specific
dangers are associated with this new context – for
example, data that were initially generated and exchanged
in order to coordinate manufacturing and logistics
activities between different companies could, if
read in conjunction with other data, suddenly provide
third parties with highly sensitive information about
one of the partner companies that might, for example,
give them an insight into its business strategies. New
instruments will be required if companies wish to pursue
the conventional strategy of keeping such knowledge
secret in order to protect their competitive advantage.
New, regulated business models will also be
necessary – the raw data that are generated may contain
information that is valuable to third parties and
companies may therefore wish to make a charge for
sharing them. Innovative business models like this will
also require legal safeguards (predominantly in the
shape of contracts) in order to ensure that the valueadded
created is shared out fairly, e.g. through the
use of dynamic pricing models.
Current regulation of the protection of corporate data
only addresses some aspects of these dangers and
generally requires the data to be classified as business
or trade secrets. Furthermore, it usually only applies to
cases of illegal disclosure. As a rule, confidential information
that has been acquired legally, e.g. with the permission
of its owner, may subsequently be used for
other purposes. However, self-regulation such as confidentiality
agreements should make it possible to close
these legal loopholes. Contract law offers a means of
achieving highly specific regulation of a variety of different
scenarios. This will require the sensitivity of the data
and the degree of protection needed to be determined
on a case-by-case basis – under certain circumstances,
individual data protection law principles could provide
a model in this regard.
However, contracts do have their limitations when it
comes to managing large volumes of voluntary legal arrangements,
since a disproportionately large amount of
work is involved in calculating the risks and negotiating
separate contracts for each individual case. It is therefore necessary to develop new contractual models that
allow businesses to retain sovereignty over “their” data
whilst still facilitating entrepreneurial flexibility.
2. Liability
When sensitive data are exchanged between different
companies, there is a risk that they may be used and/or
disclosed illicitly, or that they may be hacked by third
parties if, for example, the recipient fails to implement
adequate IT security measures. One solution to this
problem is provided by a type of contractual clause already
in widespread use that sets out the requisite
technical and organisational arrangements and any additional
measures (e.g. the duty to provide notification
of any security problems or breaches) and stipulates
penalties in the event of non-compliance. However, in
Industrie 4.0 manufacturing facilities are responsible
for a wider range of matters than in the past. They may
now be subject to a liability action not only if they fail to
meet their primary responsibilities (in terms of the product’s
durability, correct operation and appearance), but
also for failings in their role as part of a network of smart
objects.
In these scenarios, the issue of liability and responsibility
becomes even more important – when autonomous
systems are deployed in networks, a lack of structural
transparency could make it almost impossible to explicitly
determine who performed a particular action, resulting
in uncertainty with regard to legal liability. It is true
that businesses employing manufacturing systems that
use autonomous data processing are legally liable for
the security of their manufacturing facilities and products
vis-à-vis third parties. Current tort and product liability
law already provides adequate solutions in this
area. However, if the other partners in a network wish to
avoid being held jointly liable, or if they want at least to
have recourse against the other partners, then it is essential
for their responsibilities to be contractually stipulated
from the outset and/or for actions to be clearly
attributed to the owners of the respective systems. This
also has implications for the insurability of residual risk
and the way that the insurance industry calculates the
relevant premiums.
Correct attribution of liability will be facilitated by the provision
of precise documentary evidence concerning the different manufacturing steps and system statuses (although
highly detailed protocol data relating to specific
individuals could cause data protection law problems).
Consequently, technology-based documentation procedures
such as personal or device-based digital signatures
will play a far more important role in Industrie 4.0.
3. Handling personal data
As the interaction between employees and CPS increases,
so will the volume and level of detail of the
personal data held for individual employees. This is especially
true of assistance systems that record information
about an employee’s location, their vital signs or
the quality of their work. This issue could pose a threat
to employees’ right to informational self-determination.
Scenarios with an international dimension are particularly
problematic in this regard. German data protection
law places strict restrictions on the outsourcing of the
analysis of data captured in smart factories to companies
located outside the European Union (EU) or European
Economic Area (EEA) (including companies belonging
to the same group) or the disclosure outside
Europe of corporate data containing personal information
about employees. This restriction is particularly applicable
if data protection standards in the country receiving
the data are lower than those found in Europe.
This could result in problematic constraints for globally
networked value chains.
Current regulation fails to adequately address these
problems. Outsourced data processing models are already
encountering difficulties (e.g. in the realm of
cloud computing), since local data protection standards
are generally not applicable in countries outside of
Europe, meaning that in practice it is impossible for client
companies to comply with their data protection responsibilities.
Businesses therefore have a growing need for a legally
unambiguous and practical solution for handling personal
data. It may be possible, up to a point, to achieve
this through in-house binding corporate rules, collective
agreements and company agreements, although it any circumstances undercut existing data protection
standards. In any event, these instruments would need
to be adapted to take account of the specific characteristics
of Industrie 4.0.
The data protection law requirements for custom product
features will depend on the product and application
in question. One issue that is especially relevant to Industrie
4.0, for example, is the incorporation of data processing
components into the end product. Whilst these
components may initially be used during the manufacturing
process, they may eventually come into the possession
of end customers who use them for purposes
for which they were not originally intended. In order to
prevent this from happening and restrict the kind of data
processing that the built-in components can be used
for, their capabilities should be confined to what is
strictly necessary as defined by data protection law.
4. Trade restrictions
As more and more complex systems are deployed in
Industrie 4.0, it becomes increasingly likely that individual
components may be subject to national and international
trade restrictions. Encryption technologies
are both necessary and desired by customers in order
to ensure the confidentiality and integrity of CPS communication.
However, in many emerging markets, such
as China, the use, sale, importing and exporting of encryption
products are only permitted under licence. In
the EU, on the other hand, shipment of encryption
technologies is allowed within Europe and to certain
other countries such as Japan, Canada and the US,
but they are classed as dual use goods11 and subject
to export restrictions for many other destinations.
Even today, companies wishing to have a global presence
in tomorrow’s key markets are to some extent
already finding themselves forced to operate in legal
grey areas if cryptographic components are built into
larger manufacturing facilities. This legal uncertainty
will only increase in Industrie 4.0 and could become a
significant barrier to trade.
德国的工业4.0
Recommended actions
The regulatory challenges described above are not trivial and it will be essential to find solutions to them if the
Industrie 4.0 initiative is to succeed. For the most part, these “solutions” will not entail legislation, but will instead
require a mix of instruments comprising regulatory, technical and policy elements. Moreover, it will be
important to raise awareness of the problems outlined above among SMEs by engaging professional associations
and government ministries to act as multipliers.
One aspect that will be especially important for SMEs is the development of practical guidelines, checklists
and model contract clauses. New contract models need to guarantee protection of business and trade secrets
on the one hand, whilst also ensuring that any value-added generated through the new business models is
shared out fairly. It will therefore be necessary to define the roles of the various partners as precisely as possible
(including new roles such as different types of information broker).
As far as liability is concerned, the support provided should focus on data security and the requirement to
provide documentary evidence, particularly at critical points where items are handed over from one partner to
another. As for employee data protection, best practice models containing sample company agreements
should be developed in order to ensure that the requirements of Industrie 4.0 do not encroach upon employees’
data protection rights. With regard to the secure and confidential handling of sensitive corporate data
belonging to third parties, it would be desirable to engage in efforts to promote self-regulation through measures
such as audits or certification of compliance with IT security standards. Nonetheless, it will still be necessary
to legislate on certain issues. These include outsourcing of data processing activities, although it is at EU
level that the need for legislation in this area currently exists.
There is also an urgent need for harmonisation in the field of trade restrictions, especially with regard to encryption
products. In order to ensure that Germany can successfully sustain a position as a leading supplier
for Industrie 4.0, efforts should be undertaken in the medium to long term to promote common international
regulations, for example through the World Trade Organization.
In more general terms, the challenges posed by Industrie 4.0 in the areas where technology comes into
contact with regulation will require interdisciplinary research. It will be important to ensure that legal experts
are involved right from the earliest stages of the R&D process. By the same token, engineers will increasingly
need to acquire a basic understanding of the legal issues so that they can engage in a full dialogue
with their legal counterparts. A partnership along these lines between engineers and legal experts could
provide Germany with a genuine competitive advantage in the Industrie 4.0 market. As such, it will be necessary
for the Industrie 4.0 Platform to ensure that legal experts are involved in the various working groups
from an early stage.
5.8 Resource efficiency
The nature of manufacturing industry means that it is by
far the largest consumer of raw materials in industrialised
nations. Together with the private sector, it is also the
principal consumer of primary energy and electricity. In
addition to the high costs involved, this situation entails
risks to the environment and security of supply which
need to be minimised by regulation. Consequently, industry
is undertaking major efforts to reduce its consumption
of energy and resources or find alternative
sources. However, these efforts will need to be sustained
over many years if they are to have any chance of
succeeding. Ultimately, this will involve changes in manufacturing
processes and the design of machinery and
plant, since these are the only areas where material and
energy consumption can really be influenced.
The starting point is the amount of resources that are
used by manufacturing companies, both within the company
itself and throughout the rest of the value network.
It is possible to draw a distinction between three categories
of resources and how they are used:
1. Raw materials, additives, operating supplies and all
the different kinds of energy carriers, including conversion
from one type of energy into another
2. Human resources, i.e. human labour
3. Financial resources, i.e. the necessary investment
and operating costs
In terms of how these resources are used, it is possible
to focus on maximising the output achieved with a given
quantity of resources, or on using the lowest possible
quantity of resources to achieve a given output. In the
first scenario, the emphasis is on calculating resource
productivity, whilst in the second scenario the focus is
on calculating resource efficiency. A range of metrics
are now available to perform these measurements (Life
Cycle Assessments, carbon footprinting12, etc).
Challenges
In general terms, Industrie 4.0 will need to investigate
and implement ways of reducing the resources consumed
during industrial manufacturing processes as a
whole and by the machinery and equipment used during
production. The outcomes of the joint Federal Ministry
of Education and Research (BMBF) and German
Engineering Federation (VDMA) “Efficiency Factory”
(Effizienzfabrik)13 initiative could serve as a model in
this regard. When implementing efficient manufacturing
processes it is important to consider not only basic
functions but also the stability of the processes under
dynamic conditions, such as frequent stopping and
starting and prevention of faulty products (which are a
waste of materials and energy).
It is therefore necessary to consider productivity in
terms of preventing unstable processes that result in
quality issues which in turn require the product to be
repaired or completely remade. Availability also needs
to be considered. Manufacturing equipment can break
down (so it is important to build in redundancies to
minimise the risk of failure), resources may not be readily
available when needed and inventory levels may not
be in line with requirements (semi-finished and finished
goods).
One of the key challenges for Industrie 4.0 will be to
demonstrate that the additional resources invested in
the deployment of CPS and the associated infrastructure
can generate sufficient opportunities to deliver resource
productivity and efficiency gains based on the
total amount of resources used during engineering,
manufacturing, production control, intralogistics, procurement
and distribution logistics.
Industrie 4.0 provides the opportunity to optimise delivery
of the overarching goals of resource productivity
and efficiency on a case-by-case basis.
Recommended actions
The Industrie 4.0 Working Group recommends that a Working Group should be established through the Industrie
4.0 Platform to deal exclusively with the topic of resource productivity and efficiency. The Working
Group’s remit should include the following tasks:
-- Adoption and development of the outcomes of the BMBF/VDMA “Efficiency Factory” initiative.
-- Demonstration of resource savings in terms of enhanced resource productivity and efficiency in the
manufacturing environment based on the avoidance of substitution processes resulting from productivity
or availability issues.
-- Calculation and assessment of trade-offs between the additional resources required to deploy CPS and
their associated infrastructure and the potential savings generated. This should also be done for the
different categories of resources when it comes to taking decisions on modernising production lines or
building new ones and the type of automation equipment required. These assessments should take
account of the industry or sector in question and whether the value network is regional or global in scope.
-- It will be necessary to take account of the various metrics and KPIs (key performance indicators) that are
being used to assess resource productivity and efficiency and eco-friendliness in current projects and
initiatives. The development of decision-supporting KPIs such as the Green Production Index should also
be taken into account, together with the basic data required to take transparent, resource-oriented
investment decisions, particularly in the area of industrial automation.
返回页首
Germany compare
德国的工业4.0
6 How does Germany compare with the rest of the world?
Germany is not the only country to have identified the
trend towards using the Internet of Things in manufacturing
(Industrial Internet1) and its disruptive impact on industrial
processes as strategic challenges for manufacturing
industry going forward. However, a variety of
different terms are used around the world to describe
the phenomenon of Industrie 4.0. Especially in the English-
speaking world and at EU level, it is customary to
refer to the Internet of Things and the trend towards
digitalisation in terms of a third Industrial Revolution. This
number is arrived at either by including the second Industrial
Revolution (the establishment of mechanical
mass production) as part of the first,2 or not counting the
third transformation of industry resulting from the automation
of manufacturing processes as a genuine revolution
in its own right.3, 4
The terms “Smart Production”, “Smart Manufacturing”
or “Smart Factory” are used in Europe, China and the
US5 to refer specifically to digital networking of production
to create smart manufacturing systems, whereas
the equally fashionable term “Advanced Manufacturing”
embraces a broader spectrum of modernisation
trends in the manufacturing environment.6
As far as the global markets for machinery and plant
manufacturing, electrical engineering, automation and
ICT are concerned, the examples of selected countries
serve to illustrate different policy responses to these
trends.
International market trends
Following a period of spectacular growth between
2004 and 2008, when output rose by approximately
38 percent, the global financial crisis triggered a dramatic
slump in orders and production among Germany’s
machinery and plant manufacturers. However,
business started to pick up again as early as the middle
of 2009 as companies strove to make up the ground
lost during the crisis. Demand has now returned to normal,
with two percent growth forecast for 2013.
Figure 13: Mechanical engineering industry sales in selected countries
According to a recent survey by the German Engineering
Federation (VDMA), the majority of German mechanical
engineering firms still see themselves as
among the world’s leaders and regard their main competitors
as domestic ones, followed only distantly by
competitors from the US and Italy. Global sales in the
mechanical engineering sector came to around 2.1 trillion
euros in 2011. A glance at the position of the mechanical
engineering industry in selected countries reveals
an extremely heterogeneous picture. (see also
Fig. 13).
Since 2002, large-scale transfers of production to
other parts of the world have resulted in a sharp increase
in the US mechanical engineering sector’s dependency
on imports. The number of people employed
in the industry fell by 25 percent between 2002 and
2010.8 However, there have been some signs of a
gradual recovery since 2010, with rises in both domestic
and export demand. The press in the US has been quick to seize on terms such as “reshoring”9 and
“insourcing boom”10 to describe what it already perceives
as a fundamental sea change.
China is also devoting a huge amount of effort to catching
up with other countries in terms of its mechanical
engineering technology and strengthening its market position.
Over the past five years, it has risen to become the
world’s largest machinery manufacturer, with sales of
563 billion euros in 2011. At the same time, China has
also redoubled its efforts on the exports front. In 2011,
the Chinese investment goods industry exported goods
worth 87.7 billion euros, an increase of more than 20
percent compared to the previous year. It thus leapt forward
to become the world’s fourth largest exporter of
machinery, with a 10.2 percent share of the market.
There has been a pronounced rise in Russia’s demand
for machinery and plant since 2010. Russia, which is
the official partner country of this year’s Hannover
trade fair, is already the fourth largest export market for German mechanical engineering firms, behind China,
the US and France. Germany is also Russia’s
number one machinery supplier, with a 22.6 percent
market share. The Russian government is forecasting
continued growth of the Russian market over the next
few years and is supporting this growth through a
funding programme worth billions of euros. In the
longer term, there is significant potential for German
machinery and plant manufacturers to export Industrie
4.0 products to Russia.
In 2011, the global electrical engineering market was
worth 3,414 billion euros. At 116 billion euros, the German
electrical engineering market is the fifth largest
in the world, after China (1,119 billion euros), the US
(486 billion euros), Japan (284 billion euros) and South
Korea (155 billion euros). In recent years, the growth of
the global electrical engineering market has largely
been due to newly-industrialised countries whose total
market volume of 1.7 trillion euros reached the same
level as that of the industrialised nations for the first time
in 2011. It is expected that growth will remain significantly
higher in the newly-industrialised countries than
in the industrialised nations during 2012 and 2013.
The global automation market recently reached 350
billion euros, meaning that it now accounts for more
than one tenth of the global electrical engineering market.
In the past few years, China has risen to become
the single largest regional market. Its market is currently
worth 100 billion euros, giving it a 29 percent share
of the global market and meaning that it has now overtaken
Europe, where the market is worth just 93 billion
euros. Trailing some way behind these two markets are
the US (12 percent or 40 billion euros) and Japan (8
percent or 26 billion euros). At 21 billion euros (6 percent),
Germany is the world’s fourth largest market.
China’s lead is even greater when it comes to automation
product manufacturing. China accounts for 30
percent of global production, or 103 billion euros out of
a total of 350 billion euros. The US and Japan are more
or less tied for second place with roughly eleven percent
each, closely followed by Germany, with ten percent.
However, Germany is the world’s largest exporter
of automation products and systems (29 billion euros),
followed by China (27 billion euros) and the US (21
billion euros).
The global turnover of the ICT industry is forecast to
rise by 4.6 percent this year to 2.69 trillion euros. At 5.2
and 4.2 percent respectively, the two key segments of
information technology and telecommunications are
both experiencing strong growth. However, there are
significant disparities in market trends across different
regions. Whilst the industry is booming in newly-industrialised
countries, throughout most of Western Europe
it is either flat or in decline. Between them, China, India
and Russia already account for one seventh (14 percent)
of global ICT demand this year. The Chinese market
alone is forecast to grow by 6.6 percent to 235
billion euros in 2013, overtaking Japan (221 billion euros)
as the world’s second largest ICT market. The US
market remains the undisputed leader in terms of demand
for ICT. The latest figures put its total value at
725 billion euros, an increase of 5.8 percent. Growth in
western Europe has been more sluggish than in the
rest of the world. In 2013, ICT sales are expected to
rise by a modest 1.3 percent to 625 billion euros. The
German information technology market, on the other
hand, is forecast to grow by 3.0 percent in 2013 to 75
billion euros. Germany’s software market is also set to
experience strong growth, rising by 5.1 percent to 17.8
billion euros. The market for IT services such as outsourcing
and maintenance is forecast to grow by 3.0
percent to 35.9 billion euros, whilst the hardware market
is expected to return a modest growth figure of 1.2
percent.
With SAP, Software AG and Telekom, together with
major subsidiaries of US (e.g. IBM and HP) and Asian
companies, Germany has a globally significant level of
IT competencies clustered closely together. This provides
a new opportunity for Germany to take a leading
role in Industrie 4.0.
During the course of our
work together it has become
apparent that Germany possesses
all the necessary
competencies in the fields of
manufacturing technology
and mechanical engineering
to continue to enjoy global
success in tomorrow’s world
of the Internet of Things and
Services
Dr. Siegfried Dais
Robert Bosch GmbH
Co-Chair of the Industrie 4.0 Working Group
Industrial policy funding initiatives in selected countries
Other countries are also supporting the modernisation
of manufacturing industry through funding programmes
and research initiatives. However, the available information
suggests that in the US and China, for example,
the transformation envisaged by the Industrie 4.0 initiative
is regarded as no more than one trend among
many, for example the introduction of new materials
and technologies.11
The US administration has once again started to attach
greater priority to the mechanical engineering sector.
12 It is now seeking to pursue an active industrial
policy in order to create jobs and encourage reshoring
of manufacturing to the US. In the summer of 2011,
President Obama launched the Advanced Manufacturing
Partnership (AMP), a private-sector led body that
brings together representatives of the research, business
and political communities to chart a “course for
investing and furthering the development of the emerging
technologies”. The AMP Steering Committee is
made up of the Presidents of the top engineering universities
(MIT, UC Berkeley, Stanford, CMU, Michigan
and GIT) and the CEOs of leading US enterprises (including
Caterpillar, Corning, Dow Chemical, Ford, Honeywell,
Intel, Johnson & Johnson, Northrop Grumman,
Procter & Gamble and United Technologies).
In July 2012, the AMP submitted a report detailing 16
recommendations13 which include the establishment of a
National Network of Manufacturing Innovation Institutes
(NNMII). These institutes, which take the form of Public-
Private Partnerships, are intended to act as “regional
hubs for manufacturing excellence” in order to improve
the global competitiveness of US businesses and increase
investment in US manufacturing facilities. 14
In addition, the Obama administration is making more
R&D funding available for manufacturing research. In
the 2013 budget, the funding earmarked for advanced
manufacturing is being increased by 19 percent to 2.2
billion dollars. On top of this, the National Institute of
Standards and Technology (NIST), which is the body
responsible for standardisation, has been allocated
100 million dollars of funding to provide technical support
to domestic manufacturing industry through the
provision of research facilities and know-how. NIST is
also responsible for the Advanced Manufacturing Portal15
which was set up at the AMP’s recommendation
and is intended to facilitate networking between government,
university and private initiatives in this field.
Finally, the US administration’s Jobs and Innovation Accelerator
Challenge initiative is investing 20 million dollars
in a further ten Public-Private Partnerships in the
field of advanced manufacturing.
CPS and the Internet of Things (IOT) have already
been benefiting from public funding in the US for several
years. Indeed, Cyber-Physical Systems were identified
as a key research area by the National Science
Foundation (NSF) as long ago as 2006. However, very
little is actually being done with regard to the specific
use of CPS in manufacturing.16 The Networking and Information
Technology Research and Development (NITRD)
Programme brings together 18 research agencies
in order to coordinate research in different IT
domains including Human-Computer Interaction and
Information Management. In 2011, the NITRD had a
budget of over 3 billion dollars at its disposal.
China
China is also striving to expand its mechanical engineering
industry. The 12th Five-Year Plan (2011-2015)
sets out the aim of reducing dependency on foreign
technology and pursuing global technology leadership
in seven “strategic industries” including High-End
Equipment Manufacturing and a New-Generation Information
Technology17. China’s leaders are making a total
of 1.2 trillion euros available for this goal up to 2015
and are stimulating supply and demand through subsidies,
tax breaks and other financial incentives. They
also intend to increase R&D investment as a proportion
of GDP from 1.5 to 2 percent by 2015.18 In the machine
tools sector, one of the priorities is the development
of “intelligent manufacturing equipment”, “intelligent
control systems” and “high-class numerically
controlled machines”, whilst the priorities in the area of
IT include the Internet of Things and its applications,
including “industrial control and automation”.
Since 2010, the priority attached by Beijing to the Internet
of Things has grown significantly.19 China has
held an annual Internet of Things Conference since
2010 and China’s first IoT Center was opened during
the first of these conferences. This research centre has
received 117 million US dollars worth of funding to investigate
basic IoT technologies and the associated
standardisation requirements. In addition, the School of
Software at Dalian University of Technology established
a research group as long ago as 2009 with a remit that
includes the investigation of CPS applications in automation
engineering. 20 China has also established an
“IoT innovation zone” in the city of Wuxi in Jiangsu Province
with 300 companies employing more than 70,000
people. China’s leaders are planning to invest a total of
800 million US dollars in the IoT industry between now
and 2015.21
EU
At EU level, research into the Internet of Things is currently
benefiting from increased support through the
Seventh Framework Programme for Research (2007-
2013). The largest budgetary allocation of in excess of
9 billion euros is earmarked for the ICT funding priority.
Within the programme, there are a variety of cross-border
initiatives geared towards implementing the Internet
of Things in manufacturing industry. The Siemens-
led “IoT@Work” project has been given a budget
of 5.8 million euros to develop the Plug&Work concept
in a practical setting. Meanwhile, a total of 2.4 billion
euros has been invested in the ARTEMIS technology
platform to promote R&D projects in eight sub-programmes
that include both “Manufacturing and Production
Automation” and CPS.22 In addition, 1.2 billion
euros have been awarded to the Public-Private Partnership
initiative “Factories of the Future” which launches
annual calls for proposals for projects in the area of
smart, ICT-driven manufacturing. Under the auspices of
this initiative, the SAP-led project “ActionPlanT” recently submitted its “Vision for Manufacturing 2.0”, that is
intended to serve as a discussion document for future
research funding initiatives under the Eighth Framework
Programme for Research – “Horizon 2020”
(2014-2020). Horizon 2020’s proposed budget of 80
billion euros will make it the world’s largest R&D funding
programme.23
India
Innovation funding is one of the core priorities of India’s
Five-Year Plan (2012-2017) which provides for an
increase in public and private R&D investment to two
percent of GDP.24 In 2011, the “Cyber-Physical Systems
Innovation Hub” project was launched under the
auspices of the Ministry of Communications and Information
Technology to conduct research into a variety of
areas, including humanoid robotics. Moreover, Bosch
founded the Centre for Research in CPS in Bangalore
in November 2011. Both the Fraunhofer-Gesellschaft
and several top Indian research centres are participating
in this project in an advisory capacity. The partnership,
which is funded to the tune of 22.8 billion euros,
aims to create an optimal research and working environment
for the IT specialists of the future. In future,
support will also be provided to industry and the research
community, for example through research contracts.
25 Even today, according to a recent study by the
Zebra Tech Company, Indian businesses are world
leaders in terms of take-up and use of IoT technology.26
TAKE-HOME MESSAGE
Many of Germany’s competitors have also recognised the trend for using the Internet of Things in the
manufacturing environment and are promoting it through a range of institutional and financial measures. The
Industrie 4.0 Working Group believes that Germany is well placed to become a global pacesetter in the
area of Industrie 4.0. The Industrie 4.0 Platform should undertake regular critical appraisals of the extent to
which the measures implemented and planned by Germany are succeeding in delivering this goal.
A separate research project should be established to carry out a more detailed analysis of Germany’s international
competitors and the markets it should be targeting over the next ten to 15 years.
返回页首
Outlook
Germany has the potential to become a leading market
and leading supplier for Industrie 4.0. If this is to be
achieved then, in addition to meeting the technological
challenges, it will be essential for the different industries
and their employees to work together in order to shape
developments. The Industrie 4.0 Platform constitutes a
crucial step towards ensuring that the innovation potential
of Industrie 4.0 is leveraged across all industries.
The journey towards implementing the Industrie 4.0 vision
will involve an evolutionary process that will progress
at different rates in individual companies and
sectors. Demonstration projects should therefore be
developed and new products brought to market as
soon as possible.
Implementation should be addressed through a dual
strategy. Existing basic technologies and experience
will need to be adapted to the requirements of manufacturing
engineering and rolled out rapidly on a widespread basis. At the same time, it will also be necessary
to research and develop innovative solutions for
new manufacturing sites and new markets. If this is
done successfully, Germany will be in a position to become
a leading supplier for Industrie 4.0. Moreover, the
establishment of a leading market will serve to make
Germany a more attractive manufacturing location and
help preserve its domestic manufacturing industry.
The Industry-Science Research Alliance launched the
strategic initiative Industrie 4.0 in early 2011. As of
April 2013, the industry’s professional associations
BITKOM, VDMA and ZVEI will be joining together with
actors from the business and research communities
and civil society in order to ensure that implementation
of the initiative is progressed in a coherent manner. A
systemic approach in which all the stakeholders are involved
in a mutual exchange of technological and social
innovations will provide a sound basis for successful
cooperation in this regard.
《人生七年》（56 Up）
The strategic initiative Industrie 4.0
Industrie 4.0 is a “strategic initiative” of the German
government that was adopted as part of the High-Tech
Strategy 2020 Action Plan in November 2011. It was
launched in January 2011 by the COMMUNICATION
Promoters Group of the Industry-Science Research Alliance
(FU). Its initial implementation recommendations
were formulated by the Industrie 4.0 Working Group
between January and October 2012 under the coordination
of acatech –National Academy of Science and
Engineering. The Working Group was chaired by Dr
Siegfried Dais, Deputy Chairman of the Board of Management
of Robert-Bosch GmbH, and Prof. Henning
Kagermann, President of acatech. The recommendations
were submitted as a report to the German government
at the Industry-Science Research Alliance’s Implementation
Forum held at the Produktionstechnisches
Zentrum Berlin on 2 October 2012. Going forward,
further implementation measures will be progressed
through a number of working groups under the Industrie
4.0 Platform which was recently established by the
industry’s professional associations BITKOM, VDMA
and ZVEI and which now has the support of its own
Secretariat.
Since 2006, the German government has been pursuing
a High-Tech Strategy geared towards interdepartmental
coordination of research and innovation initiatives
in Germany with the aim of securing Germany’s
strong competitive position through technological innovation.
The current incarnation is known as the
High-Tech Strategy 2020 and focuses on five priority
areas: climate/energy, health/food, mobility, security
and communication. The strategy revolves around a
number of “strategic initiatives” through which the Industry-
Science Research Alliance is addressing concrete
medium-term scientific and technological development
goals over a period of ten to fifteen years. The
initiatives have formulated concrete innovation strategies
and implementation roadmaps designed to make
Germany a leader in supplying solutions to global
challenges.
This report presents and expands upon the recommendations
put forward by the Industrie 4.0 Working
Group in October 2012 and will provide a basis for
the work of the Industrie 4.0 Platform that will commence
in April 2013
The Industrie 4.0 Platform
The professional associations BITKOM, VDMA and
ZVEI have established the joint Industrie 4.0 Platform in
order to progress the initiative and ensure a coordinated,
cross-sectoral approach.
The Platform’s central coordination and management
body is the industry-led Steering Committee. It is responsible
for setting the Platform’s strategic course,
appointing working groups and guiding their work. The
Steering Committee is supported by a Scientific Advisory
Committee that includes members from the manufacturing,
IT and automation industries as well as a
number of other disciplines. The Working Groups report
to the Steering Committee, but are free to determine
their own structure. They are open to all interested
parties.
The Governing Board provides input with regard to
strategy and supports the Platform’s political activities.
Where necessary, it represents the Platform vis-à-vis
policymakers, the media and the public.
The Secretariat is staffed by members of the three professional
associations and provides the Steering Committee
with organisational and administrative support. It
deals with knowledge transfer, internal relations and
relations with similar initiatives. It is also responsible for
media and public relations activities.
Figure 14: Provisional organisational chart of the “Industry 4.0” Platform
Contact:
<EMAIL_ADDRESS>plattform-i40.de
返回页首
返回页首
返回主页
version:1.0<EMAIL_ADDRESS>© retter2012.com


chat_bubble_outline
Ratchet Chat
Sign-out
account_circle
Sign-in
Message...
Send
Please sign in
Please enter your username and password
Username
Password
Remember me for 30 days
cancel


Toggle navigation
Installed Bundles
Bundle Installation
Framework Administration
Choose the Way to Install a new Bundle
• Click the arrow select a marketplace and press RETURN OR • Click to browse and upload your own bundle file
Install a local bundle File ...


COVID-19
Home
Interactive Corona Impact on World Map
Bar Plot with Transition
Interactive Line Plot
Line Plot Deaths and Total Tests
Parallel coordinate Graph with Brushing
Pie Plot
Scatter Plot Matrix with Brushing
Insights with Samplings
Toggle Menu
Relation between Deaths and Total number of tested cases


Release Date: November 15, 1994
For immediate release
The Federal Reserve Board today approved an increase in the discount rate from 4 percent to 4 3/4 percent, effective immediately.
In a related move, the Federal Open Market Committee decided that the increase in the discount rate should be reflected fully in interest rates in reserve markets.
These measures were taken against the background of evidence of persistent strength in economic activity and high and rising levels of resource utilization. In these circumstances, the Federal Reserve views these actions as necessary to keep inflation contained, and thereby foster sustainable economic growth.
In taking the discount rate action, the Board approved requests submitted by the Boards of Directors of the Federal Reserve Banks of New York, St. Louis, and Kansas City. The discount rate is the interest rate that is charged depository institutions when they borrow from their district Federal Reserve banks.


About Me
Full-Stack Web Developer ready to help teams coordinate and tackle their biggest challenges.
Before becoming a web developer, I spent 9 years as a professional chef and kitchen manager.
During my
culinary career, I learned the importance of building and maintaining strong relationships
with your team.
The kitchen is also where I learned to solve problems on the fly and maintain a positive
attitude in a
stressful environment.
My hobbies include playing guitar, gardening, and spending time with my dog Buddy and my cat
Scarlet.
Please contact me
with any questions or feedback. I look forward to hearing from you!
View Resume Download Resume


index
|
up
|
prev
|
next
StringParser Class
Definition at line
28
of
Primitive.hpp
Constructors
StringParser
(
const
std::u32string& s_)
Member Functions
void
Accept
(
Visitor
& visitor)
override
const
std::u32string&
GetString
()
const
Match
Parse
(
Scanner
& scanner,
ObjectStack
& stack,
ParsingData
* parsingData)
override
Member Variables
std::u32string
s
Constructor Details
StringParser Constructor
cmajor::parsing::StringParser::StringParser(
const
std::u32string& s_)
Definition at line
40
of
Primitive.cpp
:
40
:
Parser
(
U"string"
,
U"\""
+
s_
+
U"\""
)
,
s
(
s_
)
41
{
42
}
Declaration at line
31
of
Primitive.hpp
Member Function Details
Accept Member Function
void
cmajor::parsing::StringParser::Accept(
Visitor
& visitor)
override
Definition at line
62
of
Primitive.cpp
:
63
{
64
visitor
.
Visit
(
*
this
)
;
65
}
Declaration at line
34
of
Primitive.hpp
Base class overridden functions:
cmajor::parsing::ParsingObject::Accept
Calls:
cmajor::parsing::Visitor::Visit
GetString Member Function
const
std::u32string& cmajor::parsing::StringParser::GetString()
const
Definition at line
32
of
Primitive.hpp
:
32
{
return
s
;
}
Parse Member Function
Match
cmajor::parsing::StringParser::Parse(
Scanner
& scanner,
ObjectStack
& stack,
ParsingData
* parsingData)
override
Definition at line
44
of
Primitive.cpp
Declaration at line
33
of
Primitive.hpp
Base class overridden functions:
cmajor::parsing::Parser::Parse
Calls:
cmajor::parsing::Match::Concatenate
,
cmajor::parsing::Match::Empty
,
cmajor::parsing::Match::Nothing
,
cmajor::parsing::Match::One
,
cmajor::parsing::Scanner::AtEnd
,
cmajor::parsing::Scanner::GetChar
index
|
up
|
prev
|
next


About Me
Introduce :
Don't cry, snowman, not in front of me Who'll catch your tears if you can't catch me, darling If you can't catch me, darling Don't cry, snowman, don't leave me this way
Don't cry, snowman, not in front of me Who'll catch your tears if you can't catch me, darling If you can't catch me, darling Don't cry, snowman, don't leave me this way


Address
DELIVERING TO Level 4, Pioneer House CDO, Don Apolinar Velez cor.A.Mabini St. Cagayan de Oro City, PH, 9000
Schedule
Tue, May 30, 2017
2:00:00 PM
Delivery Notes
Please remove onions, add extra sauce. Please br on time.
Sub Total
Tax
Delivery Fee
Total $ 28.00


ProgressIndicator sample - messages
This sample shows how to customize messages by overriding progress bar methods.


The general syntax for positron is:
positron [-c config_dir] [-m mountpoint] [command] [command arguments]
Adds files to the Neuros database, copying as necessary. Files that are already on the Neuros will not be overwritten, but just added to the database if not already present. Non-music files are ignored.
Removes files both from the Neuros database and from the Neuros filesystem. Positron will only delete files that have database entries, and will remove directories only if they are empty. Positron remembers which files have been deleted using this command, and will not recopy them during synchronization. Deleted files can be recopied using the add command. The list of deleted files can also be purged using the --reset-deleted option to the sync command.
Clears all entries from the databases. This does not remove any files, however.
Creates or modifies the current configuration interactively. Positron will ask you a series of questions and create a configuration files based upon your answers. If you already have a configuration, those options will be the default answers. See the configuration guide for more information.
Displays help information about positron commands.
Lists all of the entries in a database. Only listing the audio database is supported at this time.
Removes unused space from databases. This is created when entries are deleted from the database. Note that packing is automatically done whenever you synchronize with positron, so you should seldom need to do this manually.
Recreates the Positron databases from the music tracks found on the Neuros. This command completed wipes the Neuros databases and rebuilds them from scratch. It is needed if your databases have become corrupted. Positron will locate all of the music files already on the Neuros and put their entries back into the database as best as it can guess. The database of music stored on your computer ("pcaudio") will cleared and all HiSi clips will be marked as unidentified even if they had been previously identified.
Synchronizes your Neuros with your music library. This will scan all of the syncpoints specified during configuration for new files and copy them to your Neuros. It also scans your Neuros for new FM, microphone or line-in recordings and copies them to your, if you specified a location for them during configuration.
Positron remembers which files have been removed with positron del and which recordings have already been copied to the computer. They will not be recopied. You can clear these lists with the options shown below.


gallery-textfield-labelled tests
Basic tests
Raw TFL
Raw functionality of the tfl.
Password TFL
No id TFL
node property tests (getters and setters)
To be completed
event binding tests
To be completed
markup cloning tests
These tests are to check that the attributes/styles of the source Node are duplicated in the destination node as much as possible.
To be completed.


@* * Copyright 2023 HM Revenue & Customs * * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. *@ @import includes.{cancelLink, checkYourAnswers, ptaHeader, submit} @import play.api.mvc.Call @import uk.gov.hmrc.govukfrontend.views.html.components.FormWithCSRF @this(main: MainTemplate, form: FormWithCSRF) @(viewModel: uk.gov.hmrc.tai.viewModels.income.IncomeCheckYourAnswersViewModel)(implicit request: Request[_], messages: Messages, authedUser: Option[controllers.auth.AuthedUser] = None) @header() = @{ ptaHeader( mainHeadingText = Messages("tai.checkYourAnswers.heading"), preHeadingText = viewModel.preHeading ) } @main( title = Messages("tai.checkYourAnswers.title"), authedUser = authedUser, pageTitle = Some(Messages("tai.service.navTitle")), backLinkContent = Some(Messages("tai.back-link.upper")), backLinkUrl = Some(viewModel.backLinkUrl) ) {
@viewModel.postConfirmationText.get
} @submit( buttonMessageKey = Some(messages("tai.confirmAndSend"))) } @cancelLink(Call("GET", viewModel.cancelUrl))


class DeviceHelper
Get the device type. Identifier encoding is taken from Yieldlab API spec. Please note:
<init> |
Get the device type. Identifier encoding is taken from Yieldlab API spec. Please note: DeviceHelper() |
DEVICE_CONNECTED_TV |
val DEVICE_CONNECTED_TV: String |
DEVICE_PHONE |
val DEVICE_PHONE: String |
DEVICE_TABLET |
val DEVICE_TABLET: String |
DEVICE_UNKNOWN |
Device type as encoded in the API spec. val DEVICE_UNKNOWN: String |
getDeviceType |
Get device type. Please note: This functions needs a reference to a Context as well as to an Activity. fun getDeviceType(context: Context, activity: Activity): String |


BIRD WATCHING FUTURE PLANS
Since now I am identifying myself as a "Birder" I am planning to expand upon the number of Bird Feeder in order to attract other bird species which are present in the vicinity.
In order to attract more variety currently am working on two main ideas based on my research:
- Custom made Stands for Bird Feeder and
- Appropriate Locations.
Hopefully, before next summer the above goal will be achieved.


Numbers get stored at some place in memory. They have a certain memory size (spaces in memory) and an arrangement for their bytes.
Digital numbers
The data stored in memory is just a lot of tiny electronic connections in the circuits of the Calliope mini. A number is the most basic type of data and other types of data are made using numbers (number are even used to act as text characters in memory).  One connection is called a bit and this is used as a single digit for computer numbers. A single bit can mean one of two numbers, 0 or 1. Two bits can mean one of four numbers, 00, 01, 10, or 11. We use decimal numbers normally so we give the decimal names to the computer numbers. So, for the two bit numbers, their decimal names are: 00 = 0, 01 = 1, 10 = 2, and 11 = 3. When you see numbers with ones and zeros, they are called binary numbers.
The ‘byte’
The smallest amount of bits normally used to store a number in a computer is a combination of 8 bits. A group of 8 bits is called a byte. A byte looks like 10010010
. This binary number, for example, represents the number 162
in decimal.
The maximum absolute value for a number contained in a byte is 255
. You couldn’t store the decimal number of 2552
in one byte, you need to use two bytes together. So, 2552
as a binary number is 00001001 11111000
using two bytes.
Numbers are stored in memory in different ways. They can use one or more bytes, have a positive or negative value, and have their bytes switched around.
Signed numbers
If you want a number that can have a positive value or a negative value, then you use a signed number. This means that one bit of all the bits than make up the number value is treated as a plus sign or a minus sign. A bit value of 0
means a plus and a bit value of 1
means minus. Using one of the bits of the number for a sign means that the maximum possible value for a number gets reduced by about half.
As an example, the decimal numbers of 1
and -1
are 00000001
and 11111111
in binary. You see that the bit on the left of the second binary number is a 1
. That bit is used as the minus sign (-) for the -1
.
Two’s complement
You might think that the binary number for a decimal -1
would be 10000001
if the left bit is a 1
for the minus sign. The binary number for a decimal -1
is actually 11111111
. That’s because computers and electronic devices use a special trick when working with negative numbers. The trick is called two’s complement.
Making a negative number from a positive number is a two step process. The first step is the one’s complement of the number. This step switches all the bits in the number that are 1
to 0
and all the bits that are 0
to 1
(invert the bits). Then, the twos’s complement step adds the value of 1
to the one’s complement value. Here’s how it works:
Start with the positive binary number for a decimal 1
which is 00000001
.
- The one’s complement switches the bits, the binary number is now
11111110
.
- The two’s complement adds a binary
1
to the one’s complement value.
11111110
+ 00000001
= 11111111
Unsigned numbers
Signed numbers use all of their bits for the value itself and are always positive values.
Big end and little end (endian)
Earlier you saw that the decimal number 2552
needs two bytes in memory. The order in which these two bytes are placed in memory is called endian order or endianness. Funny word, right? This comes from the idea that the byte with the larger part of the value is called the big end and the byte with smaller part of the value is called the little end.
For 2552
its binary number uses two bytes which are: 00001001 11111000
. The two parts (ends) of this number are:
- Big end:
00001001
- Little end:
11111000
If the big end of the number is stored in memory first, before the little end, the number is a big endian number. Then, of course, if the little end of the number is stored in memory first, before the big end, the number is a little endian number.
Sometimes you need to have your program tell what type of numbers it will store in memory. This often necessary when you use pin operations with a buffer.
 They are given format types though so that they are consistent with the multi-byte formats. So, there is no difference between Int8LE
and Int8BE
, or UInt8LE
and UInt8BE
.
See also
buffer


| is_installed {rlang} | R Documentation |
These functions check that packages are installed with minimal side effects. If installed, the packages will be loaded but not attached.
is_installed()
doesn't interact with the user. It simply
returns TRUE
or FALSE
depending on whether the packages are
installed.
In interactive sessions, check_installed()
asks the user
whether to install missing packages. If the user accepts, the
packages are installed with pak::pkg_install()
if available, or
utils::install.packages()
otherwise. If the session is non
interactive or if the user chooses not to install the packages,
the current evaluation is aborted.
is_installed(pkg) check_installed(pkg, reason = NULL)
pkg |
The package names. |
reason |
Optional string indicating why is |
is_installed()
returns TRUE
if all package names
provided in pkg
are installed, FALSE
otherwise. check_installed()
either doesn't return or returns
NULL
.
is_installed("utils") is_installed(c("base", "ggplot5"))


Looking to get the most out of Instagram? Well you are in luck. There are many apps and online tools that can be used in conjunction with Instagram. Below is a list of 25 tools that will help you get more out of your Instagram experience.
Online Tools That Help You Get The Most Out of Instagram
Statigram – This tool is great for engaging your community with contests, tracking your stats, and managing comments.
Follower tracking tools – There are many options of follower management tools that allows you to quickly follow your followers back, unfollow those that do not follow you, and easily find new comments.
GramFeed – Is like a newsfeed to view your photos. You can also view your followers photos, like photos, post comments and more. It is an easy tool to use.
 The price to download is .99.
Leetags – This free app allows you get more likes and follows by giving you easy tagging options. Using the right hashtags is very important.
InstaCommentor – This app helps you know exactly what comments were replied to and which ones weren’t. Very important for networking and connecting with others. Download the app for .99.
InstaRepost – This app allows you to repost photos you like. It works similar to retweets on Twitter. You can also customize your reposts. It also allows you to search for new photos and find interesting people. This app is free (there is a paid pro version as well). There is a free and paid version.
Textgram – Create texts and share them on Instagram. It is now very easy to quick to text or draw on your photo or without a photo. Download the app for .99.
Over – This is a fun app that allows you to add beautiful text overlays to any of your photos. It comes with images and fonts so you can easily add text or artwork to your photos. Download the app for $1.99.
Superimpose – You don’t need any expensive software to superimpose any more. You can change out backgrounds, foregrounds, mask out parts of the photo, change the size, color and more. The app costs .99.
And lastly if you wanted to turn your Instagram photos into magnets you can with StickyGram. Or if you want you can print out your Instagram photos you can with Copygram.


About
Services
Reviews
Login
Book us Now
Be part of the Cesta Team
ALREADY PART OF THE TEAM
Tell us more about you
First Name
Living Zip Code
Phone Number
Last Name
Primary Language
English
Spanish
Other
Secndary Language
English
Spanish
German
French
Other
When are you available?

Tell us something unique about yourself*
SUBMIT INFORMATION


|
|
|
||
| This page and jmol-flot-energy.htm illustrate how the Flot graphing package can be used with Jmol to depict molecular data graphically. The Flot package is quite flexible and very easy to work with. For these pages I've adapted it a bit -- the modified flot JavaScript file is in the flot subdirectory. Mostly I added a hover delay option and the option to hover over a vertical or horizontal slice rather than exactly on a point. For the Ramachandran Plot, I added the option to have major tick marks drawn in a darker color. |


Postdoctoral Fellowship at the Martinos Center for Biomedical Imaging and the Psychiatric Neuroimaging Division of the Psychiatry Department at Massachusetts General Hospital, Charlestown, MA
- Project: Development of accelerated diffusion and functional MRI scans with real-time motion tracking for children with autism
- PI: Dara S. Manoach, Ph.D.
- 1) Assist with setting up the data acquisition to ensure that the protocols are well-designed for the analysis questions;
- 2) Build motion-aware processing tools that work in concert with existing software packages to improve the analysis of fMRI and DWI data;
- 3) Assist in the processing, interpretation and analysis of the results of both phantom and human studies; and
- 4) Apply these methods to address clinical research questions in autism.
- (a) CV,
- (b) statement of post-doctoral and career goals,
- (c) writing sample (e.g., a published manuscript), and
- (d) letters and/or contact information for three references to Dara Manoach at<EMAIL_ADDRESS>Our team is developing several technical innovations that will significantly reduce the impact of head motion on fMRI and diffusion data. We are seeking a candidate to work with us to improve data analysis by making fMRI and diffusion analysis motion-aware using both the in-image data and the motion tracking data.
The Research Fellow will be expected to:
Our ideal candidate has a PhD in Computer Science, Electrical Engineering, or related fields, and has experience in signal processing and numerical methods. Candidates with experience in image processing and time series analysis, or specifically in fMRI and diffusion data analysis will be preferred. This position requires strong programming skills, and the candidate is expected to have experience working in C++, scripting languages (e.g., Python), and rapid-prototyping languages for numerical algorithms (e.g., Matlab, Mathematica). Strong communication skills are essential, as the position involves working with an interdisciplinary team of scientists in both MRI physics/engineering and psychology/neuroscience in addition to research coordinators and MRI technologists. Background in cognitive neuroscience and an interest in clinical applications are advantageous. Training in clinical research will be provided.
Position available immediately. Please send


A Derpibooru API wrapper for Node.js
node-derpi is my first attempt at an API wrapper in Node, specifically for the Derpibooru image board. It aims to be a rich API wrapper around Derpibooru's JSON API, supporting rich deserialization of supported types (dates, other Derpi data points, etc.). It is also fully strongly-typed, being written in Typescript.
yarn
)Using yarn
:
yarn add node-derpi
Using npm
:
npm install node-derpi
That's it! Your package manager should handle any dependencies for you.
See the documentation.
Issues, suggestions, or concerns? Submit a GitHub issue!
Want to add a feature? We accept PRs!
Copyright (c) Eliot Partridge, 2018. Licensed under the MIT License.
Generated using TypeDoc


tuiDropdown
shows a dropdown with custom template. Use
ActiveZone
directive to hide dropdown.
See also HostedDropdown
You can even insert other components:
Everything you want... *
* except cases of Worldwide rights violationlimitWidth === 'fixed'
)
tuiDropdownDirection
Import TuiDropdownModule
into a module where
you want to use our component
Add to the template:


This page is a draft to prepare a hackathon at Rennes, France
What's a Hackathon ?
This is a place where some geeks meet together, do some hacking, and learn form each other. Newbies are welcome as well as code-warriors.
You can join to learn jenkins plugin development, contribute new ideas, help to implement or just have fun with us.
Who is interested ?
- Nicolas De Loof @ndeloof
- Alex Thomazo @alexlg
- Jean-Louis Jouannic @jljouannic
- Sébastien Brousse @seb_brousse
What to do ?
put here any idea you'd like us to develop together
- feature-branch plugin (ndeloof)
Where / When ?
Not yet defined - probably one evening from 6 to 9 at La Cantine Numérique followed by a lunch with few (!) beer. -> This will be a mini-hackathon


At Covidoff, accessible from covidoff.live, one of our main priorities is the privacy of our visitors. This Privacy Policy document contains types of information that is collected and recorded by Covidoff and how we use it.
If you have additional questions or require more information about our Privacy Policy, do not hesitate to contact us.
This Privacy Policy applies only to our online activities and is valid for visitors to our website with regards to the information that they shared and/or collect in Covidoff. This policy is not applicable to any information collected offline or via channels other than this website. Our Privacy Policy was created with the help of the Online Generator of Privacy Policy.
By using our website, you hereby consent to our Privacy Policy and agree to its terms.
The personal information that you are asked to provide, and the reasons why you are asked to provide it, will be made clear to you at the point we ask you to provide your personal information.
If you contact us directly, we may receive additional information about you such as your name, email address, phone number, the contents of the message and/or attachments you may send us, and any other information you may choose to provide.
When you register for an Account, we may ask for your contact information, including items such as name, company name, address, email address, and telephone number.
We use the information we collect in various ways, including to:
Covidoff follows a standard procedure of using log files. These files log visitors when they visit websites. All hosting companies do this and a part of hosting services' analytics. The information collected by log files include internet protocol (IP) addresses, browser type, Internet Service Provider (ISP), date and time stamp, referring/exit pages, and possibly the number of clicks. These are not linked to any information that is personally identifiable. The purpose of the information is for analyzing trends, administering the site, tracking users' movement on the website, and gathering demographic information.
Like any other website, Covidoff uses 'cookies'. These cookies are used to store information including visitors' preferences, and the pages on the website that the visitor accessed or visited. The information is used to optimize the users' experience by customizing our web page content based on visitors' browser type and/or other information.
For more general information on cookies, please read "What Are Cookies" from Cookie Consent.
You may consult this list to find the Privacy Policy for each of the advertising partners of Covidoff.
Third-party ad servers or ad networks uses technologies like cookies, JavaScript, or Web Beacons that are used in their respective advertisements and links that appear on Covidoff, which are sent directly to users' browser. They automatically receive your IP address when this occurs. These technologies are used to measure the effectiveness of their advertising campaigns and/or to personalize the advertising content that you see on websites that you visit.
Note that Covidoff has no access to or control over these cookies that are used by third-party advertisers.
Covidoff's Privacy Policy does not apply to other advertisers or websites. Thus, we are advising you to consult the respective Privacy Policies of these third-party ad servers for more detailed information. It may include their practices and instructions about how to opt-out of certain options.
You can choose to disable cookies through your individual browser options. To know more detailed information about cookie management with specific web browsers, it can be found at the browsers' respective websites.
Under the CCPA, among other rights, California consumers have the right to:
Request that a business that collects a consumer's personal data disclose the categories and specific pieces of personal data that a business has collected about consumers.
Request that a business delete any personal data about the consumer that a business has collected.
Request that a business that sells a consumer's personal data, not sell the consumer's personal data.
If you make a request, we have one month to respond to you. If you would like to exercise any of these rights, please contact us.
We would like to make sure you are fully aware of all of your data protection rights. Every user is entitled to the following:
The right to access – You have the right to request copies of your personal data. We may charge you a small fee for this service.
The right to rectification – You have the right to request that we correct any information you believe is inaccurate. You also have the right to request that we complete the information you believe is incomplete.
The right to erasure – You have the right to request that we erase your personal data, under certain conditions.
The right to restrict processing – You have the right to request that we restrict the processing of your personal data, under certain conditions.
The right to object to processing – You have the right to object to our processing of your personal data, under certain conditions.
The right to data portability – You have the right to request that we transfer the data that we have collected to another organization, or directly to you, under certain conditions.
If you make a request, we have one month to respond to you. If you would like to exercise any of these rights, please contact us.
Another part of our priority is adding protection for children while using the internet. We encourage parents and guardians to observe, participate in, and/or monitor and guide their online activity.
Covidoff does not knowingly collect any Personal Identifiable Information from children under the age of 13. If you think that your child provided this kind of information on our website, we strongly encourage you to contact us immediately and we will do our best efforts to promptly remove such information from our records.


Accept EULA
We recommend that administrators set AcceptEULA to TRUE.
Optional.
If this attribute is set to TRUE, the user does not see a Microsoft Software License Terms dialog box. If this attribute is set to FALSE or is not set, the user may see a Microsoft Software License Terms dialog box. This attribute only applies if you install with the user's account. If you use System Center Configuration Manager or some other software distribution tool which uses the SYSTEM account to install, then the setting for this attribute is not applied.


General
Gets
Sets
main desc
adapter settings
connection
ip
ip desc
port
port desc
connection settings
Interval[min]:
interval desc
get desc
set desc
!!!UNDER CONSTRUCTION!!!


Faces and names that defined Southway in the 90s and early 00s
Take a trip down memory lane and enjoy all of the Plymouth estate's best moments from yesteryear
24 Nov 2019 by Miles O'Leary
Remember when the whole of Southway came together to fight the closure of its beloved community college? We do.
Our sister print title The Herald joined locals at marches, public meetings and on the streets in support of their impassioned cause.
No-one wanted the legendary comprehensive taken away. Sadly, it was consigned to history, way back in 2001.
But all those cherished memories of the classroom and school grounds still remain to this day. The site itself is now home to Beechwood Primary Academy.
There were many other things that defined life in Southway way back when too - as our wonderful nostalgic gallery of photos from the late 90s and early 00s prove.
Fetes, fun days and carnivals, our photographers captured all sorts of occasions. And we spoke to many on the ground about their concerns with anti-social behaviour and the like.
So why not hit the link below and send yourself on a trip down memory lane, enjoying all of Southway's finest moments from yesteryear.
07 02 2002 PIC TERI COX CHILDREN FROM VARIOUS SCHOOLS PERFORM SONG AND DANCE AT SOUTHWAY COMMUNITY COLLEGE AS PART OF THE ARTS FESTIVAL. THE SOUTHWAY DANCERS PERFORM GLADIATOR
8/2/02 PIC CLARE HOMER ARTS FESTIVAL. BARBICAN- CAN PERFORMANCES FROM SOUTHWAY COMMUNITY COLLEGE AND PLYMOUTH HIGH SCHOOL FOR GIRLS.  THE SCREEN LINKS THE CHURCH TO ST PAULS CATHEDRAL. PEOPLE GATHER TO WATCH THE SCREEN AND CELEBRATE THE GOLDEN JUBILEE. L-R JOYCE BRADBURY AND JOYCE PENGELLY HOLDING UP THE FLAG
22/12/99 795133 L,R LISA COWLING ,ANDREW SMITH AND JANE AGGETT WHO HAVE BEEN TOLD THEIR A LEVEL COURSES ARE TO FINISH AT SOUTHWAY COMMUNITY COLLEGE.
30/10/99 -JENNY HILL, 15,( AND JANE AGGETT, 17), EXERCISE THEIR MOUTH MUSCLES AT THE VOCAL WORKSHOP IN THE SOUTHWAY CENTRE. PIC BY LUCY BLAKE
09 04 99 VOX POP ON TRAFFIC CALMING AT SOUTHWAY ERNEST RITH DM69806 CONTACT CHRIS TINKLER CATCHLINE AVOXPOPS
09 04 99 VOX POP ON TRAFFIC CALMING AT SOUTHWAY
14 04 99 REPORTER:SAM DUNN VOX POP ON "SHOULD WE SEND TROOPS TO FIGHT A LAND WAR IN KOSOVO?" JILLIAN AND GINA HOLMES BOTH 16, STUDENTS FROM SOUTHWAY
28/11/2000 LITERACY SKILLS AT SOUTHWAY PRIMARY SCHOOL TEACHER MARY ROOK WITH HER CLASS PIC BY LUCY DUVAL
10 07 00 AL STEWART THE FUNERAL OF STEWART PARKIN MANAGER OF SOUTHWAY LADIES FOOTBALL TEAM AND A BIG MOVER IN THE LOCAL COMMUNITY.
08/12/00 - L-R ASHLEY TAPPER AS THE TEA CUP, LEAGH RICE AS THE TEAPOT, TERRY YOUNG AS A SUGAR CUBE AND JAMIE DUNN AS THE SPOON. SOUTHWAY PHOTO CALL FOR THE CHRISTMAS MUSICAL "THE MAGIC HAS BEGUN" PIC BY PAUL SLATER
28-6-99 7 YR OLD WIN SPEED BOAT. HOLLY BROCKLESBY OF SOUTHWAY OUT-STARED AN OPPONENT ON TFI FRIDAY TO WIN A SPEED BOAT, JUST LIKE THIS. PIC - BRIAN JONES
29-01-01 PIC GUY CHANNING SOUTHWAY PRIMARY PUPILS (L-R) CHARLOTTE SWABEY, BANIEL BURT, COURTNEY RENDLE AND DANIEL BENNETT GIVE A HUGE PIRATE ROAR TO CELEBRATE THE SCHOOLS PIRATE DAY
SOUTHWAY PRIMARY SCHOOL "THE MAGIC HAS BEGUN" PHOTO CALL PIC BY PAUL SLATER
12/07/99 - PARENTS CAME TO ENCOURAGE THERE CHILDREN AT SOUTHWAY PRIMARY SCHOOL SPORTS DAY. PICTURE BY PAUL SLATER
20-05-01 DJM CUP FINAL'S PICTURE - BRIAN JONES 12 VANGUARD RUNNERS UP AFC SOUTHWAY
12/07/99 - PARENTSWATCH AS THE SACK RACE GOES BY AT SOUTHWAY PRIMARY SCHOOL SPORTS DAY. PICTURE BY PAUL SLATER
12/07/99 - A PUPIL AT SOUTHWAY PRIMARY SCHOOL HEADS FOR THE FINISH DURING THE SKIPPING RACE AT SOUTHWAY JUNIOR SCHOOL. PICTURE BY PAUL SLATER
20/11/01 - SOUTHWAY SMART ART GROUP - PICTURED L-R ARE SALLY TATAM, DI SALISBURY, ANITA MACK, RUBY FARRELL, VALERIE GORMAN, JEAN WALTERS AND SUSAN MORGAN WITHTHE QUILT THAT THEYWANT TO RAFFLE OFF IN AID OF THE GROUP. PIC BY PAUL SLATER
21-11-01 JOHN ALLEN GUILDHALL: PUBLIC MEETINF CONCERNING FATE OF SOUTHWAY COMMUNITY COLLEGE.  PICTURE BY PAUL SLATER
7-8-01 VANDALISM AT SOUTHWAY COMMUNITY COLLEGE DEMOLITION SITE PICTURE BY - BRIAN JONES SITE MANAGER MARTIN FARLEY WITH THE VANDALISED SWING SHOVEL AND BEHIND SMASHED WINDOWS AND WINDOWS THEY HAVE BEEN FORCED TO BOARD UP
10-7-01 JOHN ALLEN 'ARTS ANGELS': ART DISPLAY AND DANCE PERFORMANCE.  PUPILS AND STAFF DRESS AS FICTIONAL CHARACTERS TO START SUMMER BOOK WEEK
26 04 2001 PIC TERI COX SOUTHWAY COMMUNITY COLLEGE. OPENING OF THE NEW LIBRARY AND I.C.T. SUITE BY THE REV. DAVID LEWIS, VICAR OF SOUTHWAY. STUDENTS NATALIE MARSDEN, 11 AND EMMA DIXON, 12 SHOW REV DAVID LEWIS THE COMPUTERS IN THE I.T.C. SUITE
10-12-01 PIC GUY CHANNING SOUTHWAY PRIMARY SCHOOL - NATIVITY/CINDERELLA CINDERELLA AND THE PRINCE, ZOE HOBBS AND JORDAN DEMUTH
30 04 99 VOX POP ON WHAT PEOPLE THINK ABOUT CLOSE CIRCUIT TV IN SOUTHWAY MADELEINE RICHARDS CONTACT WILLIAM OR CHRIS CATCHLINE ZONE A VOXPOP
25-06-01 SAVE SOUTHWAY SCHOOL PETITION HANDOVER PICTURE BY - BRIAN JONES JOHN TURNER, TERESA TURNER, JANET O'CONNOR AND COUNC DENNIS CAMP DISPLAY THE SIGNED PETITIONS
04 06 99 ZONE A VOX POP ON LITTER IN SOUTHWAY SANDRA RUSSELL
08 02 2001 PIC TERI COX 170 SCHOOLCHILDREN FROM VARIOUS SCHOOLS PERFORM A MIXTURE OF LINE DANCING, SINGING AND A VERSION OF JACK AND THE BEANSTALK AT SOUTHWAY SHOPPING CENTRE FOR PLYMOUTH ARTS AND EDUCATION FESTIVAL. YOUNGSTERS FROM LANGLEY SCHOOL SING 'MY GIRL'
15 12 2001 PIC BY LUCY DUVAL SOUTHWAY PARENTS AND STUDENTS PROTEST ABOUT THE CLOSURE OF SOUTHWAY COMMUNITY COLLEGE IN THE CITY CENTRE
22 03 2000 PIC SAMANTHA PRITCHARD JIMMY HAMILTON WITH KICK BOXING SPONSOR STAN CHITTY " SHERWELL". SOUTHWAY COMMUNITY CENTRE
DR RONALD SAMUEL OF SOUTHWAY SURGERY .
13 11 2001 PIC TERI COX 12 YR OLD SOUTHWAY SCHOOL PUPIL LAUREN MILNE WITH HER MUM WENDY. LAUREN IS BEING KEPT AT HOME TO BE TAUGHT BY PARENTS RATHER THAN BE SENT TO A NEW SCHOOL IF SOUTHWAY COMMUNITY COLLEGE CLOSES
09 04 99 VOX POP ON TRAFFIC CALMING AT SOUTHWAY JULIAN HALL
23/10/2000 ### ZONE A #### PLAYDAY AT SOUTHWAY YOUTH AND COMMUNITY CENTRE SIMON STEYN AGED 10, LEANNE DISTIN AGED 10 AND STACEY BRADBURY AGED 11 SHOW OFF THEIR MASKS WHICH THEY MADE AT THE SOUTHWAY PLAY DAY PIC BY LUCY DUVAL
15 01 2001 PIC TERI COX SOUTHWAY COMMUNITY COLLEGE. SOUTHWAY AFC UNDER 13'S FOOTBALL TEAM GET NEW KIT SPONSORED BY NEXTCALL TELECOM PLC. IN FRONT ARE ; ANDREW BRADFORD 12, AND SPONSOR JASON WILKES, REGIONAL SALES MANAGER FOR THE SOUTH WEST
06-07-99 PIC BY GUY CHANNING LANGLEY JUNIOR SCHOOL, SOUTHWAY. SPORTS DAY
7-8-99 SOUTHWAY FUN DAY LE BAND, ENTERTAIN PIC BRIAN JONES
20/05/00 - PIRATES FROM SOUTHWAY PUT ON A MEAN FACE AT THE LORD MAYORS DAY PARADE . L-R ARE BEN MUMFORD AND BROTHER JAMIE WITH CHARLSTON FOSTER. PICTURE BY PAUL SLATER
15-07-99 PIC GUY CHANNING SOUTHWAY COMMUNITY COLLEGE 6TH FORM ART EXHIBITION IN THE STYLE OF FAMOUS ARTISTS DAVID CALDER SITS AMIDST HIS WORK
7-8-99 SOUTHWAY FUN DAY DESTINY GIRLS, CHEER LEADERS FOR PLYMOUTH RAIDERS. KERRY POPE, ALISON EDWARDS, ANN POLLARD, RACHAEL POLLARD AND KATIE DAVIES PIC BRIAN JONES
STUDENTS' FROM SOUTHWAY COMMUNITY COLLEGE, CHERYL KENNEDY,13, AND AMBER BROWN, 12 WITH THEIR ECLIPSE SAFETY GLASSES AND STEVEN DOYLE,12, WITH AN ECLIPSE MODEL WHICH HAS BEEN USED TO HELP THEM WITH THEIR ECLIPSE SESSION.
22 03 2000 PIC SAMANTHA PRITCHARD JIMMY HAMILTON WITH KICK BOXING SPONSOR STAN CHITTY " SHERWELL". SOUTHWAY COMMUNITY CENTRE
7-8-99 SOUTHWAY FUN DAY SHANNON AND ASHLEIGH HEANEY AND LISA CHADWICK ENJOYING THE LIVE MUSIC IN FRONT OF THE STAGE PIC BRIAN JONES
15-07-99 PIC GUY CHANNING SOUTHWAY COMMUNITY COLLEGE 6TH FORM ART EXHIBITION IN THE STYLE OF FAMOUS ARTISTS RACHEL FOWLIE STANDS IN FRONT OF HER CONTRIBUTION TO THE EXHIBITION
26 01 2000 PIC SAMANTHA PRITCHARD NIKKI TAPPER HAS FIRST LESSON IN INDIAN COOKING AT THE SOUTHWAY CENTRE.
23-08-01 SIX LOCAL BOYS JOIN PARACHUTE REGIMENT PICTURE BY - BRIAN JONES RICKY BROCK, LOOE, WAYNE SHORTHOUSE, HONICKNOWLE, ROSS JACKSON CROWNHILL, SHAUN ADAMS, WHITLEIGH, JOHN NISBETT, TAVISTOCK, LEWIS ROBERSON, SOUTHWAY, ABOUT TO BECOME PARACHUTE REGIMENT RECRUITS HAVE A QUICK EXPLANITORY CHAT ON THE PARACHUTE FROM SARGEANT DAZ ANDREWS, RECRUITER FOR THE PARACHUTE REGIMENT
12/07/99 - PUPILS AT SOUTHWAY PRIMARY SCHOOL ENJOY THE SACK RACE DURING THEIR SPORTS DAY. PICTURE BY PAUL SLATER
31-03-00 PIC GUY CHANNING PRIMARY SCHOOLS MUSIC FEATIVAL AT SOUTHWAY COMMUNITY COLLEGE
02 03 2000 PIC SAMANTHA PRITCHARD CHILDREN FROM LANGLEY JUNIORS ENTERTAINING OLD FOLK AT THE HOLY SPIRIT CHURCH, SOUTHWAY. LAURA DEAN SHOWS OFF HER DANCE ROUTINE.
02 02 00 AL STEWART SOUTHWAY PRIMARY SCHOOL PLAYS HOST TO THE WELSH NATIONAL OPERA. GAVIN TAYLOR PLAYS THE SCHOOL TEACHER AS SOUTHWAY PRIMARY SCHOOL HOSTESS THE WELSH NATIONAL OPERA.
12/10/00 - ZONE A - CHERRY UPTON USES THE WEB WISE 2000 FACILITY AT SOUTHWAY LIBRARY WITH HELP FROM DENISE BOON. PIC BY LUCY BLAKE REPORTER TRISTAN CONTACT DENISE BOON ON 776213 CATCHLINE AAINTERNET.
02 02 00 AL STEWART SOUTHWAY PRIMARY SCHOOL PLAYS HOST TO THE WELSH NATIONAL OPERA. ADEY GRUMMET PLAYS THE FOREST CHILD SURROUND BY PUPILS OF SOUTHWAY PRIMARY SCHOOL.
2/12/99 - SOUTHWAY PRIMARY SCHOOL WIN A CURRICULUM AWARD. PUPIL MICHAELA MARSHALL, 9, WORKS ON A PROJECT.  FRONT-CHRISTOPHER (5), RED-SOPHIE (3), YELLOW-CORAL (3), PURPLE- EMMA (6), GREY&BLACK- CHLOE (5).
23 03 2001 PIC LUCY DUVAL SOUTHWAY COLLEGE
7-8-99 SOUTHWAY FUN DAY TAMAR VALLEY WESTERNERS BRIAN MARTIN, JESSE EASBY AND RAY JAGO. PIC BRIAN JONES CONTACT DENNIS CAMP 778555 OR ALAN WINCHESTER (ORGANISER) 202791. REPORTER MARY CATCHLINE - FUNDAY
05/05/00 PIC BY LUCY DUVAL STAFF AT THE SOUTHWAY RED CROSS SHOP PREPARING TO TAKE PART IN ANNUAL FUND RAISING RED CROSS WEEK PICTURED BACK L-R JULIE GALE, RUTH RENDELL FRONT L-R MARY DERHAM (ASSISTANT MANAGER), BETTY EBBENS CONTACT TERESA PATTON (MANAGER) 787102 REPORTER TRISTAN AAREDCROSS
13-12-99 pic guy channing SOUTHWAY PRIMARY SCHOOL PRODUCTION OF'ROCK THE BABY'
PIC MIKE COX 7-6-01 CATERPILLARS PRE-SCHOOL, SOUTHWAY..  TEAM MANAGER
08 02 2001 PIC TERI COX 170 SCHOOLCHILDREN FROM VARIOUS SCHOOLS PERFORM A MIXTURE OF LINE DANCING, SINGING AND JACK AND THE BEANSTALK FOR SHOPPERS AT SOUTHWAY SHOPPING CENTRE FOR PLYMOUTH ARTS AND EDUCATION FESTIVAL. JAMES DODDS (IN RED JACKET) PLAYS A GIANT IN JACK AND THE BEANSTALK
PIC MIKE COX 4-6-01 SOUTHWAY PS .....MULTI STRAND PARTNERSHIP ... PART OF £1 MILLION PLAN TO CREATE HEALTHY LIVING CENTRE IN SOUTHWAY... NORMAN WATTS (3RD RIGHT) HEAD OF SOUTHWAY PS TALKING ABOUT THE PLANS....
19 10 00 AL STEWART OLIVER ROBERTS (3) FROM SOUTHWAY PRIMARY SCHOOL'S PLAY GROUP GREATFULY RECEIVES A CHEQUE FROM CATHY PEARSE A DIRECTOR AT THE PLYMCO.
11 02 2000 PIC SAMANTHA PRITCHARD YOUNGSTERS AT THE SOUTHWAY CENTRE ALL DRESSED UP AND READY TO BOOGIE AT THE FAMILT NIGHT. FRONT-CHRISTOPHER (5), RED-SOPHIE (3), YELLOW-CORAL (3), PURPLE- EMMA (6), GREY&BLACK- CHLOE (5).
14-08-01 GREENHOUSE CHELSON MEADOW, SOUTHWAY COMMUNITY CENTRE JUNK MODELING PICTURE BY BRIAN JONES SAM TIPPIN WITH HER CREATION
02/05/01 - SOUTHWAY COMMUNITY COLLEGE WHICH IS TO BE PART OF THE SOUTHWAY IMPACT PROJECT
12-10-99 PIC GUY CHANNING MEMBERS OF THE CAST OF GUMBOOTS WORKING WITH PUPILSA A T LANGLEY JUNIOR SCHOOL SOUTHWAY. JOE FRIEND (IN RED BOOTS GOES THROUGH HIS PACES.
16 10 1999 PIC SAMANTHA PRITCHARD DJM MINI-SOCCER TAMARSIDE COMMUNITY COLLEGE ACTIVATE (EGGBUCKLAND)(YELLOW & BLUE) VS SOUTHWAY (PALE YELLOW).
23 04 99 VOX POP ON NASTY KIDS IN SOUTHWAY VANESSA WHITEHEAD
03-12-99 PIC GUY CHANNING 5 YEAR OLD CHELSEY (SPELT CORRECTLY) WILEY SITS OUTSIDE HER HOME AT 8 LAITY WALK, SOUTHWAY WHERE MUM AND DADS CHRISTMAS LIGHTS CAST A CHEERY GLOW
21/03/02 - AN ABANDONED FORD FIESTA ON RADCLIFFE CLOSE IN SOUTHWAY.  PIC BY LUCY BLAKE
13-12-99 pic guy channing SOUTHWAY PRIMARY SCHOOL PRODUCTION OF 'NEW MILLENNIUM HEROES'
15-07-99 PIC GUY CHANNING LANGLEY JUNIOR SCHOOL, SOUTHWAY, END OF TERM CARNIVAL PERFORMANCE PUPILS SING FOR THE VISITORS
03-12-99 PIC GUY CHANNING 14 YEAR OLD SAM YATES OUTSIDE HER PARENTS HOUSE IN 17 JEFFREY CLOSE, SOUTHWAY WHICH IS BEDECKED IN FESTIVE LIGHTS
09-eh-p4-teacher NINA FREWLIN - MUSIC TEACHER AT SOUTHWAY COMMUNITY COLLEGE, LEADS BY EXAMPLE AT SOUTHWAY MUSIC FESTIVAL REHEARSALS
IMG1#1 HARD HIT COUNCIL TENNANTS IN THIS SOUTHWAY STREET FACE RENT RISES
SOUTHWAY COMMUNITY COLLEGE IS GOING HI-TECH - THANKS TO 16,000 POUNDS GOVERNMENT GRANT.
SOUTHWAY PRIMARY SCHOOL PUPILS GRACE BULL, DANIEL BENNET, BOTH FIVE, HEADTEACHER NORMAN WATTS
SOUTHWAY GIRLS FOOTBALL TEAM RECENTLY WON THE ENGLISH RIVIERA CUP IN TORBAY LAST WEEK.
RYAN WHITE AND DREW SHAPTER, WHO RE-DESIGNED THE ENTRANCE TO SOUTHWAY COMMUNITY COLLEGE, TALK TO RICHARD WILLIAMS FROM BRITISH AEROSPACE ABOUT THEIR DESIGNS
RESIDENT CHARLES TREVETHAN SHOWS THE GRASS IN SOUTHWAY DRIVE
06-eh-p16-langley LAST ORDERS?: HEATHER EVANS OF LANGLEY STORES IN SOUTHWAY
106 moments that defined Southway way back in the dayView gallery
Have you got a story to tell? Contact Plymouth Live Current Affairs reporter Miles O'Leary on 01752 293 066 or email miles.oleary@reachplc.com


| 025:060 Khan | : |
And when it is said to them: "Prostrate to the Most Beneficent (Allah)! They say: "And what is the Most Beneficent? Shall we fall down in prostration to that which you (O Muhammad SAW) command us?" And it increases in them only aversion. |
| 025:060 Maulana | : |
And when it is said to them: Make obeisance to the Beneficent, they say: And what is the Beneficent? Shall we make obeisance to what thou biddest us? And it adds to their aversion. |
| 025:060 Pickthal | : |
And when it is said unto them: Prostrate to the Beneficent! they say: And what is the Beneficent? Are we to prostrate to whatever thou (Muhammad) biddest us? And it increaseth aversion in them. |
| 025:060 Rashad | : |
When they are told, "Fall prostrate before the Most Gracious," they say, "What is the Most Gracious? Shall we prostrate before what you advocate?" Thus, it only augments their aversion. |
| 025:060 Sarwar | : |
When they are told to prostrate themselves before the Beneficent God, they say, "Who is the Beneficent God? Why should we prostrate ourselves before the one whom you have commanded us to?" This only increases their rebelliousness. |
| 025:060 Shakir | : |
And when it is said to them: Prostrate to the Beneficent Allah, they say: And what is the Allah of beneficence? Shall we prostrate to what you bid us? And it adds to their aversion. |
| 025:060 Sherali | : |
And when it is said to them, 'Submit to the Gracious God,' they say, 'And who is the Gracious, God? Shall we submit to whatever thou biddest us?' And it increases their aversion. |
| 025:060 Yusufali | : |
When it is said to them, "Prostrate to (Allah) Most Gracious!", they say, "And what is (Allah) Most Gracious? Shall we prostrate to that which thou commandest us?" And it increases their flight (from the Truth). |
Concepts/Themes Covered: أركان الإسلام > الصلاة > أداء الصلاة > سجدات التلاوة Pillars of Islam> The Prayers>Performing the Prayers> The Recitation Prostration القرآن الكريم > سجدات التلاوة The Holy Quran> The Recitation Prostrations
This tool uses eight English parallel translations for the Holy Quran imported from Mr. Clay Smith. You can also visit Qurany Concepts for browsing the Quran themes or topics. If you want to search the Holy Quran for keywords, please visit Qurany Keywords.


Class: Longleaf::ServiceManager
- Inherits:
-
Object
- Object
- Longleaf::ServiceManager
- Defined in:
- lib/longleaf/services/service_manager.rb
Overview
Manager which provides preservation service definitions based on their mappings
Instance Attribute Summary collapse
-
#definition_manager ⇒ Object
readonly
Returns the value of attribute definition_manager.
-
#mapping_manager ⇒ Object
readonly
Returns the value of attribute mapping_manager.
Instance Method Summary collapse
-
#applicable_for_event?(service_name, event) ⇒ Boolean
Determines if a service is applicable for a specific preservation event.
-
#initialize(definition_manager:, mapping_manager:, app_manager:) ⇒ ServiceManager
constructor
A new instance of ServiceManager.
-
#list_service_definitions(location: nil, event: nil) ⇒ Array
List definitions for services which are applicable to the given criteria.
-
#list_services(location: nil, event: nil) ⇒ Array
List the names of services which are applicable to the given criteria.
-
#perform_service(service_name, file_rec, event) ⇒ Object
Perform the specified service on the file record, in the context of the specified event.
-
#service(service_name) ⇒ Object
Return a service instance instance for provided service name.
-
#service_needed?(service_name, md_rec) ⇒ Boolean
Determine if a service should run for a particular file based on the service's definition and the file's service related metadata.
Constructor Details
#initialize(definition_manager:, mapping_manager:, app_manager:) ⇒ ServiceManager
Returns a new instance of ServiceManager
13 14 15 16 17 18 19 20 21 |
# File 'lib/longleaf/services/service_manager.rb', line 13 def initialize(definition_manager:, mapping_manager:, app_manager:) raise ArgumentError.new('Service definition manager required') if definition_manager.nil? raise ArgumentError.new('Service mappings manager required') if mapping_manager.nil? raise ArgumentError.new('Storage location manager required') if app_manager.nil? @definition_manager = definition_manager @mapping_manager = mapping_manager @app_manager = app_manager @service_class_cache = ServiceClassCache.new(app_manager) end |
Instance Attribute Details
#definition_manager ⇒ Object (readonly)
Returns the value of attribute definition_manager
7 8 9 |
# File 'lib/longleaf/services/service_manager.rb', line 7 def definition_manager @definition_manager end |
#mapping_manager ⇒ Object (readonly)
Returns the value of attribute mapping_manager
8 9 10 |
# File 'lib/longleaf/services/service_manager.rb', line 8 def mapping_manager @mapping_manager end |
Instance Method Details
#applicable_for_event?(service_name, event) ⇒ Boolean
Determines if a service is applicable for a specific preservation event
61 62 63 |
# File 'lib/longleaf/services/service_manager.rb', line 61 def applicable_for_event?(service_name, event) service(service_name).is_applicable?(event) end |
#list_service_definitions(location: nil, event: nil) ⇒ Array
List definitions for services which are applicable to the given criteria
52 53 54 55 |
# File 'lib/longleaf/services/service_manager.rb', line 52 def list_service_definitions(location: nil, event: nil) names = list_services(location: location, event: event) names.map { |name| @definition_manager.services[name] } end |
#list_services(location: nil, event: nil) ⇒ Array
List the names of services which are applicable to the given criteria
38 39 40 41 42 43 44 45 46 |
# File 'lib/longleaf/services/service_manager.rb', line 38 def list_services(location: nil, event: nil) service_names = @mapping_manager.list_services(location) if !event.nil? # Filter service names down by event service_names.select { |name| applicable_for_event?(name, event) } else service_names end end |
#perform_service(service_name, file_rec, event) ⇒ Object
Perform the specified service on the file record, in the context of the specified event
97 98 99 100 101 102 |
# File 'lib/longleaf/services/service_manager.rb', line 97 def perform_service(service_name, file_rec, event) definition = @definition_manager.services[service_name] service = @service_class_cache.service_instance(definition) service.perform(file_rec, event) end |
#service(service_name) ⇒ Object
Return a service instance instance for provided service name.
27 28 29 30 31 32 |
# File 'lib/longleaf/services/service_manager.rb', line 27 def service(service_name) raise ArgumentError.new('Service name is required') if service_name.nil? || service_name.empty? raise ArgumentError.new("No service with name #{service_name}") unless @definition_manager.services.key?(service_name) definition = @definition_manager.services[service_name] @service_class_cache.service_instance(definition) end |
#service_needed?(service_name, md_rec) ⇒ Boolean
Determine if a service should run for a particular file based on the service's definition and the file's service related metadata.
70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 |
# File 'lib/longleaf/services/service_manager.rb', line 70 def service_needed?(service_name, md_rec) # If service not recorded for file, then it is needed present_services = md_rec.list_services return true unless present_services.include?(service_name) service_rec = md_rec.service(service_name) return true if service_rec.run_needed return true if service_rec..nil? definition = @definition_manager.services[service_name] # Check if the amount of time defined in frequency has passed since the service timestamp frequency = definition.frequency unless frequency.nil? = service_rec. now = ServiceDateHelper. return true if now > ServiceDateHelper.(, frequency) end false end |