| Interface | Description |
|---|---|
| AccelerationSensor |
Acceleration Sensor
|
| AnalogInputController |
Interface for working with Analog Controllers
|
| AnalogOutputController |
Interface for working with Analog Controllers
|
| AnalogSensor |
Instances of this interface are sensors whose input is reported as a voltage level
to an analog to digital converter.
|
| Blinker |
Blinker provides the means to control an LED or a light that can be illuminated in a
sequenced pattern of colors and durations. |
| ColorSensor |
Color Sensor
|
| CompassSensor |
Compass Sensor
|
| CRServo |
CRServo is the central interface supported by continuous rotation servos
|
| DcMotor |
DcMotor interface provides access to full-featured motor functionality.
|
| DcMotorController |
Interface for working with DC Motor Controllers
|
| DcMotorControllerEx |
DcMotorControllerEx is an optional motor controller interface supported by some hardware
that provides enhanced motor functionality.
|
| DcMotorEx |
The DcMotorEx interface provides enhanced motor functionality which is available with some
hardware devices.
|
| DcMotorSimple |
Instances of DcMotorSimple interface provide a most basic motor-like functionality
|
| DeviceInterfaceModule |
DeviceInterfaceModule for working with various devices
|
| DeviceManager | |
| DigitalChannel |
DigitalChannel is an interface by which digital channels can be controlled. |
| DigitalChannelController |
Interface for working with Digital Channel Controllers
|
| DistanceSensor |
The
DistanceSensor may be found on hardware sensors which measure distance
by one means or another. |
| Engagable |
The engageable interface can be used to temporarily disengage higher-level hardware objects
from the services they manipulate, then later be able to re-engage them.
|
| Gamepad.GamepadCallback |
Optional callback interface for monitoring changes due to MotionEvents and KeyEvents.
|
| Gyroscope |
The
Gyroscope interface exposes core, fundamental functionality that
is applicable to all gyroscopes: that of reporting angular rotation rate. |
| GyroSensor |
Gyro Sensor
|
| HardwareDevice |
Interface used by Hardware Devices
|
| HardwareDeviceCloseOnTearDown |
Instances of
HardwareDeviceCloseOnTearDown are those which should be
automatically closed when we we 'teardown' a robot |
| HardwareDeviceHealth |
HardwareDeviceHealth provides an indication of the perceived health of a hardware device |
| I2cAddrConfig |
I2cAddrConfig allows the runtime I2C address used with a sensor to be changed
or queried. |
| I2cAddressableDevice |
I2cAddressableDevice provides a means by which the address of a device
living on an I2C bus can be retrieved. |
| I2cController |
Interface for working with Digital Channel Controllers
|
| I2cController.I2cPortReadyBeginEndNotifications |
A callback interface through which a client can learn when portIsReady callbacks
begin and then later end.
|
| I2cController.I2cPortReadyCallback |
Callback interface for I2C port ready notifications
|
| I2cControllerPortDevice |
The I2cControllerPortDevice interface should be supported by hardware devices which
occupy a port on an I2cController.
|
| I2cDevice |
The
I2cDevice interface abstracts the engine used to interact on with a specific I2c device
on a port of an I2cController . |
| I2cDeviceSynch |
I2cDeviceSynch is an interface that exposes functionality for interacting with I2c
devices. |
| I2cDeviceSynchReadHistory |
I2cDeviceSynchReadHistory provides a means by which one can be guaranteed
to be informed of all data read by through an I2cDeviceSynch . |
| I2cDeviceSynchSimple |
I2cDeviceSyncSimple is an interface that provides simple synchronous read and write
functionality to an I2c device.
|
| IntegratingGyroscope |
For gyroscopes which perform angular rotation rate integration inside the sensor,
IntegratingGyroscope provides a means by which the integrated rotation
can be easily retrieved. |
| IrSeekerSensor |
IR Seeker Sensor
|
| LegacyModule |
Legacy Module for working with NXT devices.
|
| LegacyModulePortDevice |
The LegacyModulePortDevice interface should be supported by hardware devices which
occupy a port on a LegacyModule.
|
| Light |
Light instances are sources of illumination. |
| LightSensor |
Light Sensor
|
| NormalizedColorSensor |
NormalizedColorSensor returns color sensor data in standardized units, which
provides a measure of absolute color color intensity beyond the relative
intensities available using ColorSensor . |
| OpticalDistanceSensor |
OpticalDistanceSensor is a LightSensor whose reported light intensities
reflect (pun intended) a relationship to distance. |
| OrientationSensor |
OrientationSensor provides access to sensors which measure absolute orientation |
| PwmControl |
For hardware devices which are manipulated using a pulse width modulation (PWM) signal,
the
PwmControl interface provides control of the width of pulses used and whether
the PWM is enabled or disabled. |
| PWMOutput |
Created by bob on 2016-03-12.
|
| PWMOutputController |
Interface for working with PWM Input Controllers
|
| PWMOutputControllerEx |
Created by bob on 2016-03-12.
|
| PWMOutputEx |
Created by bob on 2016-03-12.
|
| RobotConfigNameable |
RobotConfigNameable provides access to the name by which a device has been configured
within a robot configuration |
| RobotCoreLynxModule |
RobotCoreLynxModule is the view of a Lynx Module available at the RobotCore layer. |
| RobotCoreLynxUsbDevice |
RobotCoreLynxUsbDevice is the subset of the functionality of the LynxUsbDevice
which is accessible from the RobotCore subsystem.
|
| Servo |
Instances of Servo interface provide access to servo hardware devices.
|
| ServoController |
Interface for working with Servo Controllers
|
| ServoControllerEx |
ServoControllerEx is an optional servo controller interface supported by some hardware
that provides enhanced servo functionality.
|
| SwitchableLight |
SwitchableLight instances are Light s whose on/off status can be
programmatically manipulated. |
| TouchSensor |
TouchSensor models a button. |
| TouchSensorMultiplexer |
NXT Touch Sensor Multiplexer.
|
| UltrasonicSensor | |
| VoltageSensor |
Voltage Sensor
|
| Class | Description |
|---|---|
| AnalogInput |
Control a single analog device
|
| AnalogOutput |
Control a single analog device
|
| Blinker.Step |
Blinker.Step represents a particular color held for a particular length of time. |
| CRServoImpl |
ContinuousRotationServoImpl provides an implementation of continuous
rotation servo functionality.
|
| CRServoImplEx |
CRServoEx provides access to extended functionality on continuous rotation
servos.
|
| DcMotorImpl |
Control a DC Motor attached to a DC Motor Controller
|
| DcMotorImplEx | |
| DigitalChannelImpl |
Control a single digital channel
|
| Gamepad |
Monitor a hardware gamepad.
|
| HardwareDeviceHealthImpl |
HardwareDeviceHealthImpl provides a delegatable-to implemenatation of HardwareDeviceHealth |
| HardwareMap |
HardwareMap provides a means of retrieving runtime HardwareDevice instances according to the
names with which the corresponding physical devices were associated during robot configuration.
|
| I2cAddr |
I2cAddr represents an address on an I2C bus.
|
| I2cControllerPortDeviceImpl | |
| I2cDeviceImpl |
Control a single I2C Device
|
| I2cDeviceReader |
Monitor an I2C Device and read in the most current values
|
| I2cDeviceSynch.HeartbeatAction |
Instances of HeartBeatAction indicate what action to carry out to perform
a heartbeat should that become necessary.
|
| I2cDeviceSynch.ReadWindow |
RegWindow is a utility class for managing the window of I2C register bytes that
are read from our I2C device on every hardware cycle
|
| I2cDeviceSynchDevice<DEVICE_CLIENT extends I2cDeviceSynchSimple> |
I2cDeviceSynchDevice instances are I2c devices which are built on top of
I2cDeviceSynchSimple instances or subclasses thereof. |
| I2cDeviceSynchDeviceWithParameters<DEVICE_CLIENT extends I2cDeviceSynchSimple,PARAMETERS> |
I2cDeviceSynchDeviceWithParameters adds to I2cDeviceSynchDevice support for
sensors that can be publicly initialized with parameter block of a particular type. |
| I2cDeviceSynchImpl |
I2cDeviceSynchImpl is a utility class that makes it easy to read or write data to
an instance of I2cDevice . |
| I2cDeviceSynchImplOnSimple |
I2cDeviceSynchImplOnSimple takes an I2cDeviceSynchSimple and adds to it heartbeat and
readwindow functionality.
|
| I2cDeviceSynchReadHistoryImpl |
I2cDeviceSynchReadHistoryImpl is a helper class providing an implementation
of the I2c read history queue |
| IrSeekerSensor.IrSeekerIndividualSensor |
IR Sensor attached to an IR Seeker
|
| LED | |
| LegacyModulePortDeviceImpl | |
| LightBlinker |
A
LightBlinker is a handy utility that will flash a SwitchableLight
in a pattern of timed durations, and, optionally, colors, if the light supports same (NYI) |
| LightMultiplexor |
A
LightMultiplexor adapts a second SwitchableLight by adding reference
counting to SwitchableLight.enableLight(boolean) : the light will be lit if the net
number of enables is greater than zero. |
| LynxModuleMeta |
LynxModuleMeta has simple lynx module meta information for transmission from RC to DS |
| LynxModuleMetaList |
LynxModuleMetaList is a container of RobotCoreLynxModule s. |
| NormalizedRGBA |
NormalizedRGBA instances represent a set of normalized color values. |
| PIDCoefficients |
PIDCoefficients conveys a set of configuration parameters for a PID algorithm. |
| PwmControl.PwmRange |
PwmRange instances are used to specify the upper and lower pulse widths
and overall framing rate for a servo.
|
| PWMOutputImpl |
Control a single digital port
|
| PWMOutputImplEx |
Created by bob on 2016-03-12.
|
| ServoImpl |
ServoImpl provides an implementation of the Servo interface that operates on top
of an instance of the ServoController interface.
|
| ServoImplEx |
ServoImplEx provides access to extended functionality on servos.
|
| TimestampedData |
TimestampedData pairs together data which has been read with the timestamp at which
the read occurred, as best that can be determined
|
| TimestampedI2cData |
TimestampedI2cData extends TimestampedData so as to provide an indication
of the I2c source from which the data was retrieved. |
| Enum | Description |
|---|---|
| CompassSensor.CompassMode | |
| DcMotor.RunMode |
The run mode of a motor
DcMotor.RunMode controls how the motor interprets the
it's parameter settings passed through power- and encoder-related methods. |
| DcMotor.ZeroPowerBehavior |
ZeroPowerBehavior provides an indication as to a motor's behavior when a power level of zero
is applied.
|
| DcMotorSimple.Direction |
DcMotors can be configured to internally reverse the values
to which, e.g., their motor power is set.
|
| DeviceManager.DeviceType |
Enum of known USB Device Types (Note that the MR .AAR library has an internal copy of this)
|
| DigitalChannel.Mode |
Digital channel mode - input or output
|
| DigitalChannelController.Mode | Deprecated
use
DigitalChannel.Mode instead |
| HardwareDevice.Manufacturer | |
| HardwareDeviceHealth.HealthStatus | |
| I2cDeviceSynch.ReadMode |
I2cDeviceSynch.ReadMode controls whether when asked to read we read only once or read multiple times. |
| I2cDeviceSynchImpl.CONTROLLER_PORT_MODE | |
| I2cDeviceSynchImpl.READ_CACHE_STATUS | |
| I2cDeviceSynchImpl.WRITE_CACHE_STATUS | |
| I2cWaitControl |
Values in
I2cWaitControl control the semantics of waiting on I2c writes |
| IrSeekerSensor.Mode |
Enumeration of device modes
|
| Servo.Direction |
Servos can be configured to internally reverse the values
to which their positioning power is set.
|
| ServoController.PwmStatus |
PWM Status - is pwm enabled?
|
Contains libraries for working with gamepads, DC motor controllers, servo controllers, and more.


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The runners Home™
Hello, Stranger!
Welcomer to Runners Home™
Runners Home™ is dedicated to providing you with:
the most up-to-date information on running racers.
the best recources for runners.
© Runners Home. All rights reserved.


|
Design Patterns - C++
|
#include <Ready.h>
Public Member Functions | |
| Ready () | |
| ~Ready () | |
| bool | ReadyRobot (Controller *) |
| bool | RunningRobot (Controller *) |
| bool | StoppedRobot (Controller *) |
| Public Member Functions inherited from RobotState | |
| virtual | ~RobotState () |
| virtual bool | InitRobot (Controller *) |
| virtual bool | ShutdownRobot (Controller *) |
| Ready::Ready | ( | ) |
| Ready::~Ready | ( | ) |
|
virtual |
Reimplemented from RobotState.
|
virtual |
Reimplemented from RobotState.
|
virtual |
Reimplemented from RobotState.


Jun 26, 2018
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From the Vega Example Gallery
Interactive cross-filtering of airline arrival delay, departure time and travel distance data for 200,000 flights. Uses the Vega crossfilter transform to perform efficient incremental updates. Click and drag to move or resize a brush, double-click to maximize, or use the scroll wheel to zoom the brush size. Based on the Crossfilter.js example by Mike Bostock.
An overview plus detail interaction: click and drag in the overview to zoom the larger detail view. Based on a D3 example by Mike Bostock.
Brushing and linking is an interaction technique that highlights points based on linked selections across multiple views. This can be particularly useful for exploring relationships in multi-dimensional data. This example uses an interactive scatter plot matrix of penguin morphology, in an homage to the original Brushing Scatterplots paper by Becker and Cleveland. Click and drag on the visualization to make a linked selection.
Interactive scatter plot that can be panned and zoomed. Click and drag to pan, use the scroll wheel to zoom. Scatter plot points also adjust their size in response to the zoom level.
Interactive timelines for global health and economic development data: grab a point to drag it through time. Based on the DimpVis technique by Brittany Kondo and Christopher Collins, University of Ontario Institute of Technology (2014).
A scatter plot with interactive guides. Shift-click legend entries to select subsets of the data, or drag along the x-axis to create a 1D brush. Click the chart background to clear all selections.
This example enables interactive exploration of investment returns based on the time of purchase. As the mouse position changes, the chart updates to show the resulting proportional returns for a set of technology stocks had one invested at that time.
Estimation of π by randomly sampling points and counting how many of them fall inside or outside a unit circle. Based on the Observable notebook by Cameron Yick.


---
layout: conference
title: "People Involved in the Conference"
---
Local Organizing Committee
{% for omember in page.organizers %}
- {{ omember }}
{% endfor %}
Program Committee
{% for pmember in page.program %}
- {{ pmember }}
{% endfor %}
Keynote Speakers
{% for speaker in page.keynotes %}
- {{ speaker }}
{% endfor %}


[1]
ionian park after our evening flight was cancelled so we had to stay in korfu overnight .
[2]
their sorry excuse for a mattress was harder and less flexible than your average park bench .


Republic of Djibouti
August 2015
The Intended Nationally Determined Contribution (INDC) of the Republic of Djibouti is an extension of the country’s commitments to fighting the effects of climate change. The process of drafting the INDC enabled a summary of all of the policies and programmes linked to climate change. It also provided an opportunity to reassess financing needs to fund the country’s adaptation.
As an LDC and a coastal country of the Horn of Africa, the country’s vulnerability is considerably high.
As a result, this contribution reflects both the country’s political will to participate in the worldwide reduction of greenhouse gases (GHGs) and the scope of its adaptation needs.
The Republic of Djibouti has committed to reducing its GHG emissions by 40% by the year 2030, representing close to 2 Mt of CO2e, compared to projections for that year according to the businessas-usual scenario. This commitment is an ambitious one for a country like the Republic of Djibouti. It can be attained through a combination of mitigation measures and the development of sustainable economic sectors like renewable energies.
To fulfil that level of ambition, the Republic of Djibouti will need to invest more than US $3.8 billion, in collaboration with the international community. An additional US $1.6 billion, conditional on new funding sources like the Green Climate Fund, along with international support, would enable the country to reduce its emissions by a further 20% by 2030. The total effort, under both the unconditional and conditional scenarios, would essentially entail maintaining the country’s emissions at roughly their level in 2010.
In terms of adaptation, the Republic of Djibouti has undertaken numerous plans and programmes. The priority objectives are also linked to the country’s social priorities:
The adaptation projects currently being implemented account for a budget of nearly €100 million. However, that sum represents just 12% of the total amount that will need to be invested in adaptation under the 2°C Scenario, and a mere 7.5% in the case of the 4°C Scenario.
These figures show that investing in adaptation measures is a crucial issue for the Republic of Djibouti. The country will not be able to raise the necessary funds on its own. With this contribution, the Republic of Djibouti wants to reaffirm its belief in the principle of common but differentiated responsibilities and to call on the international community to mobilise in response to this decisive issue for all of humanity.
The Republic of Djibouti is located in the Horn of Africa, at the intersection of the Gulf of Aden and the Red Sea. The country has a semi-desert tropical climate characterised by recurring natural catastrophes and extended periods of drought. Its arable land, natural and mineral resources, and water resources are very low and are subject to strong pressure from climate change. With an estimated per capita gross national product (GNP) of US $1,030 in 2014, the Republic of Djibouti is one of the poorest countries in the world, and one of the most vulnerable to climate change.
At COP19 in Warsaw, the Republic of Djibouti underscored the fact that climate change is a threat to the country’s food security and water resources, as well as to sustainable development. With its arid climate and low level of social development, the Republic of Djibouti is vulnerable to various climate-related effects, including extreme drought, extreme temperatures, rising sea levels, flash floods and the salinization of soils and water. These phenomena have already been observed in the country and are expected to increase in frequency and intensity in the future, according to the various climate scenarios.
In the case of an optimistic climate scenario, the cost of the damage is likely to exceed US $5 billion. Implementing adaptation measures would make it possible to anticipate the effects of climate change. An investment of close to US $1 billion would enable a reduction of the total costs of the impact by two, account taken of residual damage.
| Annual Cost of Damage | 2010-2060 |
|---|---|
| 2°C Scenario, excluding natural catastrophes | US $5 billion |
| 4-5°C Scenario, excluding natural catastrophes | US $9 billion |
| 10,000 year flood scenario | US $65 million |
Source: PAGE model and FUND model
The Republic of Djibouti has thus adopted a proactive position to handling climate change. It ratified the United Nations Framework Convention on Climate Change (UNFCCC) in 1995. Pursuant to the provisions of Article 4 of that convention, the country developed a second national communication, which it submitted to the UNFCCC in 2014. Earlier, in 2006, the country had already identified a number of priority adaptation and resilience actions as part of a National Adaptation Programme of Action encompassing activities in the agricultural, forestry, water, livestock and coastal sectors.
To combine the country’s fight against the effects of climate change with its economic development, the Republic of Djibouti is pursuing the objective of becoming a veritable economic crossroads and a showcase for sustainable development along the Red Sea. To achieve that aim, several political plans are under development, including national strategies for a green economy, for biodiversity and on climate change.
The Republic of Djibouti will work to contribute to global efforts to reduce GHG emissions. This ambition will rely on the development of renewable energies such as geothermal, wind and solar power. But the country will need to focus its efforts on adaptation above all and seek out the support of the international community. The present contribution is part of a dynamic process and may be reassessed in line with changes in the national and international contexts.
By means of unconditional measures, the Republic of Djibouti is committed to preventing 1.8 Mt CO2e of future GHG emissions, thus reducing its emissions by 40% compared to the business-as-usual scenario.
The implementation of conditional measures would enable a further reduction in CO2e emissions by 0.9 Mt, or 20% of GHG emissions compared to the business-as-usual scenario for 2030. In this way, the conditional mitigation scenario would enable the Republic of Djibouti to maintain its volume of emissions at a level equivalent to that of 2010.
The linear sectoral projection was used to estimate the GHG emissions level in 2030 without the implementation of any mitigation measures. In that case, 2030 GHG emissions would more than double their level in 2010. Nearly 55% of those emissions come from the “Energy” category, making it a priority sector for the implementation of mitigation options by the Republic of Djibouti.
Figure 1: With no mitigation measures, the GHG emissions level will double by 2030.
* Compared to emissions levels according to the business-as-usual scenario.
| 2000 | 2010 | 2020 | 2030 | |
|---|---|---|---|---|
| Emissions - Business-as-usual scenario (in kt of CO2e) | 1400 | 1 974 | 2 905 | 4 475 |
Emissions - Unconditional mitigation scenario (in kt of CO2e) |
2 329 (-20%)* |
2 685 (-40%)* |
||
| Emissions - Conditional mitigation scenario (in kt of CO2e) | 1 882 (-35%)* |
1 790 (-60%)* |
* Compared to emissions levels according to the business-as-usual scenario.
The business-as-usual scenario was developed using the GACMO model and on linear sectoral projections. It is based on the 2000 inventory of GHG emissions, produced in accordance with the 1996 revised guidelines of the Intergovernmental Panel on Climate Change (IPCC).
The contribution of the Republic of Djibouti is based on estimated carbon dioxide (CO2), methane (CH4) and nitrous oxide (N2O) emissions across all economic sectors. Fluoride gas emissions were not counted, because they were deemed negligible at the national level.
The selected sectors were defined on the basis of the latest GHG inventory, as per the Revised 1996 IPCC Guidelines, and cover the entire country. In view of the uncertainty in respect of the level of carbon sequestration by forest land and of emissions in uncultivated areas, the “Land Use” category was not selected.
List of selected categories and sub-categories:
| Energy |
|
| Agriculture |
|
| Waste |
|
| Industrial Processes |
|
2000 was taken as the baseline year. As a result, any mitigation measures implemented after that date are not included in the business-as-usual scenarios.
The data were extracted from the latest national GHG inventory, published in 2014. Data for the
“Energy” category were enhanced with more precise information collected by the Agence Djiboutienne pour la maîtrise de l’énergie (ADME) [Djibouti Energy Management Agency].
The GWP values used were those identified by the IPCC for the preparation of national emissions inventories in accordance with UNFCCC Decision 17/CP.8.
The Republic of Djibouti is preparing to launch its green economy strategy, the aims of which are to encourage the use of low carbon technologies that are resilient to climate change, to promote green jobs, and to take advantage of climate finance to raise funds nationally and internationally. This strategy will be developed for the economy’s key sectors, in line with the long-term vision for the country.
In parallel, the Republic of Djibouti is in the process of developing a national strategy on climate change. That strategy will draw on both the National Adaptation Plan (NAP) and the National Adaptation Programme of Action (NAPA), adopted in 2006. It will incorporate changes in regulations relating to buildings, air conditioners and refrigerators.
These two complementary strategies should enable the Republic of Djibouti to attain its 2030 targets as set out herein.
Unconditional measures are scheduled or in-progress projects, all of whose funding has been defined. The information provided in the table below shows the budget forecast and is subject to re-evaluation over the course of each project.
Table 1: Presentation of funded mitigation measures
1st electrical tie line with Ethiopia |
Construction of a very high voltage line with a 50 MW capacity to import electricity from Ethiopia to Djibouti. 90% of Ethiopian electricity is generated from renewable energy sources. This project was completed in 2011. |
| Funding: US $65 million, 95% financed by the African Development Bank and 5% by the Republic of Djibouti. | |
| Estimated reduction in emissions: 150 kt of CO2e/year. | |
| Onshore wind farms | Installation of 60 MW onshore wind turbines in Goubet. Those power plants are scheduled to be commissioned in 2025. |
| Funding: Project financed by private investors, in partnership with the Republic of Djibouti. | |
| Estimated reduction in emissions: 100 kt of CO2e/year. | |
| Photovoltaic plant | Installation of three solar power plants in Petit Bara, Ali Sabieh and Goubet, with an estimated photovoltaic potential of 250 MW. Those power plants are scheduled to be commissioned in 2025. |
| Funding: Project financed by private investors, in partnership with the Republic of Djibouti. | |
| Estimated reduction in emissions: 320 kt of CO2e/year. | |
| Geothermal pump | Exploitation of geothermal energy, whose potential is estimated at 1200 MW in the region around Lake Assal, Lake Abbé and North Goubet. The power plants are scheduled to be commissioned in 2030. |
| Funding: Assal project financed by a group of donors managed by the World Bank, in the amount of US $31 million. Other projects financed by private investors, in partnership with the Republic of Djibouti. | |
| Estimated reduction in emissions: 6,000 kt of CO2e/year. | |
| New railway line | Construction of a 752 km railway line between Djibouti City and Addis Ababa. It is scheduled to be put in service in October 2015. |
| Funding: Project financed by private Chinese investors. | |
| Energy efficiency project on 10 buildings | The primary objective of this two year project is to enable the Djibouti Energy Management Agency (ADME) to study the energy consumption of 10 buildings. The project will also be used as a capacity-building tool for other government departments concerned by the issue of energy management, thanks to a SouthSouth partnership with other countries that have made progress in that domain. |
| Funding: Project financed by the UNDP. | |
| Reduction of energy consumption by public buildings | The two year project aims to improve the energy efficiency of the old Cité Ministérielle building before the installation of a photovoltaic solar park on the roof of the building. The photovoltaic system will then be connected to the national grid. To significantly reduce the State’s energy bill, ADME will extend the project to all public buildings in the future. |
| Funding: Project financed by the Republic of Djibouti. | |
Global Climate Change Alliance+ project (2014-2020) |
For a two year period beginning in May 2015, the Global Climate Change Alliance has undertaken to:
|
| Funding: Project financed by the European Union, in the amount of US $3 million. |
Measures that are pending financing are being studied for the improvement of the country’s energy efficiency and to reduce land-use-related emissions. The fulfilment of all of the projects identified as priorities for the country’s development (Table 2) would further reduce 2030 emissions by another 20%, in comparison to the business-as-usual scenario.
Table 2: Presentation of priority mitigation measures under study or pending funding
| 2nd and 3rd electrical tie lines with Ethiopia | Based on the first tie line created in 2011, construction of two more very high voltage lines with a combined capacity of 250 MW in order to import electricity from Ethiopia. |
| Thermal rehabilitation of buildings | Rehabilitation of 3,000 existing buildings (accommodation and service buildings) each year to improve their thermal performance by means of insulation. |
| Distribution of 5 million low energy light bulbs | Awareness raising on the use of energy saving lighting equipment (low energy bulbs) in residential areas. |
| Audit of administrative buildings | Diagnostic review of the lighting and air conditioning systems used in different administrative buildings. |
| Reduction of energy consumption by public buildings | Improvements to the energy efficiency of the old Cité Ministérielle building and installation of a photovoltaic solar park on the roof. |
| Reforestation with silvopasture practices | Reforestation of 1,000 hectares with the set-up of a silvopasture agricultural system. |
| Reduction of fuel wood consumption for cooking | Decrease in the consumption of wood for cooking, estimated at 56,100 tonnes each year, through the replacement of 1,000 units by systems that use LPG. |
| Development and maintenance of motorized two wheel vehicles | Set-up of a maintenance service for two wheel vehicles and awarenessraising about its use. |
Secondary measures, likewise awaiting financing, are also under study (Table 3).
Table 3: Presentation of non-priority mitigation measures under study or pending funding
| Energy production from biomass | Combined production plant for electricity using household waste. Supposed potential of 10 MW. |
| Tidal power plant | Energy production using tidal turbines in Goubet. Supposed potential of 5 MW. |
| Additional onshore wind turbines | Djibouti’s total wind power potential is estimated at 390 MW. Installation of 11 onshore wind turbines in Goubet, producing 30 MW. |
| Accelerated replacement of air conditioners | Incentives for households to replace their air conditioners at the end of their life cycles by other, more efficient (Class A) units. An average of approximately 3,000 annually. |
| Accelerated replacement of refrigerators | Incentives for households to replace their refrigerators at the end of their life cycles by other, more efficient (Class A) units. An average of approximately 4,500 annually. |
| “Green Mosques” | Implementation of energy efficiency and effectiveness solutions in the country’s mosques. |
| Reforestation with agroforestry | Installation of 1,000 hectares of agroforestry system. |
| Restriction on imports of older model cars | Elimination of the import of 10,000 old cars producing too much pollution. |
On a global scale, the IPCC calculated the quantity of GHGs as more than 49,000 Mt of CO2e in 2004. As a result, the annual emissions produced by the Republic of Djibouti, estimated at close to 2 Mt CO2e in 2010, represent less than 0.005% of the global volume. In other words, its emissions are nonsignificant compared with worldwide emissions. Nonetheless, the Republic of Djibouti has prepared this contribution to reaffirm its belief in the principle of common but differentiated responsibilities and to take unprecedented measures in response to this issue.
As an LDC, it is vital for the Republic of Djibouti to reduce its emissions without significantly affecting the country’s economic and social development. This contribution guarantees an equitable commitment. In the case of the unconditional scenario, the level of GHG per GDP point will decrease from 2.5 in 2000 to 0.8 in 2030. In addition, the planned mitigation measures will support priority economic sectors like renewable energies and energy efficiency. On its own scale, the Republic of Djibouti is making significant contributions to reducing global emissions.
The planned unconditional level of emissions reductions, planned under the unconditional scenario, is 40% compared to the business-as-usual scenario for 2030. This ambitious commitment will support other country’s commitments so as to make a collective contribution to the global objective of limiting the global temperature rise to 2°C. For the Republic of Djibouti, upholding this objective will be essential, given the country’s heavy exposure to the impact of climate change. Adaptation and increased resilience will remain the priority for the country.
In recent years, climate change has already appeared in the form of increases in average global temperature and in the intensity and frequency of extreme weather events like drought and flooding of oueds. For example, the minimum temperature recorded in Djibouti City has risen by close to 1.3°C in the space of 30 years. In addition, the geographical location of the Republic of Djibouti makes it directly vulnerable to the rising sea level, especially given that 88% of its population lives along the coastline.
These difficult conditions cause serious problems in terms of the availability of a sufficient quantity and quality of water resources, be it for the country’s human population, livestock or agriculture. The aquifer’s resources are no longer enough to meet the country’s multiple needs.
The Republic of Djibouti also boasts relatively significant land-based biodiversity (mangroves, Day Forest and endemic species). However, it is stricken by the ongoing shrinkage of its arable land and its biodiversity due to rapid desertification, which will only be exacerbated with rising temperatures. Likewise, in respect of marine ecosystems, more than half the coral cover is likely to disappear in the years to come.
This deterioration could have a profound effect on the local populations that are dependent on those resources and who already live in poverty. The various impacts of climate change engender major financial and human losses, primarily in the nation’s capital but also in the rest of the country. As a result, national adaptation priorities have been defined for 2035, broken down into multiple strategies. Concerning adaptation, this will entail:
| Global Climate Change Alliance project | Two projects have been carried out by means of the GCCA’s Intra-ACP (Africa, Caribbean and Pacific) programme. They involved the mapping and implementation of a reuse plan for the water treated in Douda, as well as a study on the emission factor for the electrical power grid. |
| Funding: GCCA donors. | |
Support programme to reduce vulnerability in coastal fishing areas (PRAREV-PÊCHE) |
The programme’s overarching objective is to support the populations in rural coastal zones affected by climate change in order to improve their resilience, reduce their vulnerability to such changes and promote the co-management of marine resources. The rehabilitation of mangroves will enhance their role as a shield for coastal protection against the tides and erosion. In addition, the restoration of coral reefs and mangroves will generate additional revenue through the development of ecotourism activities. |
| Funding: International Fund for Agricultural Development. | |
| Implementation of priority NAPA actions to strengthen resilience in Djibouti’s most vulnerable coastal zones | The project will adopt an integrated approach that combines local actions to improve the resilience of the communities and the ecosystems with central actions to remove any key political and institutional obstacles. The project includes activities grouped together into three components, corresponding to the priorities defined in the National Adaptation Programme of Action (NAPA): i) policy; ii) ecosystem rehabilitation; and iii) climate forecasts and the prevention of catastrophes. Launched in 2011, this project focuses on two rural coastal communities, Khor Angar and Damerjog. |
| Funding: UNEP. | |
| Innovative desalination plant in Djibouti, fuelled by renewable energies | This project aims to construct a desalination plant in the capital city in order to respond directly to drinking water supply needs. This new plant, which will have a capacity of 22,500 m3 daily, easily expandable to 45,000 m3, will be fuelled by renewable energy, which is expected to be provided by a wind farm planned for the second phase of the project. |
| Funding: European Union. | |
Rural Community Development and Water Mobilization Project (PRODERMO) |
The project’s objective is a participatory approach to managing water and agro-pastoral resources in general, in which the beneficiary communities will play an essential role in identifying, preparing, implementing, supervising, utilizing and maintaining community and subproject investments. The main component of this project concerns surface water mobilization and sustainable land management. This encompasses, among other activities, the repair and construction of tanks for drinking water and livestock, the construction of two small experimental dams, and sustainable land management with a view to protecting hydraulic infrastructure and regenerating plant cover in the surrounding area. |
| Funding: World Bank. | |
Drought Resilience and Sustainable Livelihood Programme of the Horn of Africa (DRSLP-HoA) |
This programme is a response to the severe water shortages and prolonged periods of drought affecting the country. It helps to reduce poverty, improve food security and accelerate economic development by increasing incomes in rural environments. The area of intervention includes the Beyya Dader watershed in the Ali Sabieh Region, the Gaggade-Derela watershed in the Dkhil Region, and the Weima watershed in the Toudjourah-Obock Region. |
| Funding: African Development Bank. | |
| SHARE - Drinking Water: Improving access to drinking water | This programme contributes to the attainment of the Millennium Development Goals (MDGs) by improving access to drinking water and through capacity-building in peri-urban areas in Djibouti and three regional administrative centres. This project will also conduct a preparatory study in advance of a rural action. |
| Funding: European Union. | |
Water supply project between Djibouti and Ethiopia |
This cross-border project aims to build a water pumping plant and aqueducts for the conveyance of water from Ethiopia in order to supply the Ali Sabieh, Dikhil and Arta Regions, along with Djibouti City. It will have a capacity of 100,000 m3/day, or 1,157 l/sec, carried to the border between the two countries. A reservoir of 20,000 m3 will be built in Djibouti. The project’s objective is to provide the populations with access to affordable drinking water. |
| Funding: Republic of Djibouti. | |
| Development of agropastoral perimeters as a strategy for Djibouti’s poor rural communities’ adaptation to climate change | The project’s objective is to diversify and bolster resilience to climate change among the agro-pastoral practices used in the rural regions of Djibouti. It is based on three components:
|
| Funding: UNDP. | |
Strategic Individual Sanitation Plan for the Dikhil Region |
This Strategic Individual Sanitation Plan aims to identify improved, sustainable sanitation solutions for populations without access to a collective sanitation service (sewer system) in:
|
| Funding: World Bank and UNICEF. | |
| Support for adaptation to climate change among rural communities in mountainous regions | This project helps to strengthen the resilience of Aidalou Assamo populations in the face of shocks related to climate change. |
| Funding: UNDP. | |
| Pastoral system security project – PSSP/SHARE (2014) | This project aims to boost the security of pastoral systems and strengthen the resilience of pastoral populations in the coastal district of Tadjourah to external shocks. This is based on the reinforcement of |
| pastoral communities’ livelihoods through investments in water and animal health, the diversification of sources of livelihoods, and institutional capacity-building for State services and the rural communities. | |
| Funding: European Union. | |
| Set-up of pilot solar projects to fight poverty | This project, steered by the Secretary of State in charge of National Solidarity and the ADDS (Djibouti Social Development Agency), provides solar electricity to rural areas as an instrument for poverty reduction. Various mechanisms have been rolled out in Djibouti City and in the countryside, including personal kits, street lights, a mini power plant, drinking water supply and solar-powered light bulbs. |
| Funding: Republic of Djibouti. | |
Implementing Adaptation Technologies in the Fragile Ecosystems of the Tadjourah and Hanlé Plains |
The project’s objective is to set up climate change adaptation measures to protect and enhance the resilience of the local communities and the ecosystems in the Tadjourah and Hanlé Regions.
|
| Funding: UNEP. | |
| Support project for the resilience of rural populations | The funds allocated under the 11th European Development Fund (EDF) will target the following sectors: (a) Water and sanitation; (b) Food security. The actions planned for those two sectors will aim for the equitable development of the country’s rural and underprivileged areas, with an emphasis on strengthening the resilience of vulnerable populations. The proposed actions will be subject to climate change impact reduction requirements, dictated by strict environmental criteria. As the country contains a number of already weakened ecosystems, any work done to improve food security and water resources management will need to endeavour to preserve the environment from a perspective of sustainable development. |
| Funding: European Development Fund. |
| Creation of a second desalination plant | The creation of a single desalination plant will not suffice to meet the population’s drinking water needs, which totalled some 593 million m3 in 2011. As a result, the rapid launch of the construction of a second desalination plant could be envisaged. |
| Repairs to water mains | Water loss within the water supply network is estimated at more than 30%. This is a considerable loss, further aggravating water shortages. Bringing the mains up to standard therefore appears to be a vital step. Such an investment has not yet been costed, however. |
| Construction of new dykes | The safety of the coastal zone is crucial to Djibouti’s development. Faced with rising sea levels, many cities that are vulnerable to this threat, such as New York and the majority of Dutch cities, have already prepared dyke construction investment plans. This solution has not yet been studied for Djibouti, but it could certainly be considered. For informational purposes, the plans launched by the Netherlands amount to a total of more than €20 billion, for exposure similar to that of Djibouti. |
| Construction project for a dam in the Ambouli watershed | Djibouti City, the national capital, is regularly threatened by devastating floods from the Ambouli watershed, with the loss of human life and serious material and economic damage. The construction of a dam in that watershed could considerably reduce the effects of flooding and could also serve to restock the groundwater that supplies the capital. |
Given the weakness of its economic and financial capacities and the scale of its funding needs for poverty reduction, environmental management and sustainable development, Djibouti is one of the potential beneficiaries of this initiative. To be able to seize that opportunity, the country set itself the objective of developing a National Strategy for a Green Economy, which will enable it to better incorporate climate finance into its development, as well as a national strategy for preserving biodiversity and another on climate change in order to boost its resilience in respect of the harmful effects of climate change, whilst contributing to global efforts to reduce greenhouse gas emissions.
The majority of the options presented above, such as the construction of a geothermal, wind or photovoltaic power plant, will necessitate major technological transfers. It is therefore crucial for the Republic of Djibouti to establish long-term partnerships with university centres or private companies capable of supplying those technologies. At present, an important partnership with the German Cooperation is providing Djibouti with technical and financial support for the promotion of renewable energies.
In a 6% growth scenario, the investment required to maintain an emissions level similar to that of 2010 (conditional scenario) is more than US $5.5 billion. The unconditional scenario, which is already financed, either by means of the national budget or through the support of the international community, represents approximately 70% of that amount.
For the measures forming the conditional scenario, whose cost is estimated at US $1.65 billion, it has yet to be determined the proportion of that investment that could be covered domestically. The national strategy for energy procurement and management, currently under development, should provide better visibility on this point. Nonetheless, considering the level of investment required, it is very likely that Djibouti will need to access international funding to cover a large proportion of that investment.
The adaptation projects currently being implemented account for a budget of nearly €100 million. That sum represents just 12% of the total amount that will need to be invested in adaptation under the 2°C Scenario, and a mere 7.5% in the case of the 4°C Scenario.
These figures show that investing in adaptation measures is a crucial issue for the Republic of Djibouti. The country will not be able to raise the necessary funds on its own. As a result, the mobilization of the international community will be vital.
Details of the implementation methods are provided in a dedicated document entitled “Guide de mise en œuvre pour la Contribution Prévue Déterminée Nationale” (“Implementation Guide for the Intended Nationally Determined Contribution”).


Date: Thu, 18 Dec 1997 18:27:03 GMT Server: Stronghold/1.3.4 Ben-SSL/1.3 Apache/1.1.3 Content-type: text/html Content-length: 2377 Last-modified: Wed, 17 Dec 1997 15:25:31 GMT
|
Published under the authority of Advance Paradigm Pharmacy and Therapeutics Committee |


Important: As of 06/12/2018, inline installation is deprecated. For more information, read our Chromium Blog post and Migration FAQ.


{% include "scaffold/incbootstrap.html" %}
Conference schedule configuration
Conference schedule configuration
{% include "scaffold/topmenu.html" %}
Back to schedule
Conference days
{% for d in sched.day_names(): %}
{{d}}
{% endfor %}
{% if selectedDay: %}
Tracks
{% for t in sched.tracks(selectedDay): %}
{{t}} {% endfor %}
Slots
Start time
End time
Audience type
{% for s in sched.orderd_slot_keys(selectedDay): %}
{{sched.slots(selectedDay)[s].start_time.strftime("%H:%M")}}
{{sched.slots(selectedDay)[s].end_time.strftime("%H:%M")}}
{{sched.slots(selectedDay)[s].slot_type}}
{% endfor %}
Add new slot
Start time:
End time:
Audience type:
Tracks
Plenary
{% endif %}


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BM Schilder, J Humphrey & T Raj (2020) echolocatoR: an automated end-to-end statistical and functional genomic fine-mapping pipeline. bioRxiv 2<IP_ADDRESS>1221; doi: https://doi.org/10.1101/2<IP_ADDRESS>1221
- E Navarro, E Udine, K de Paiva Lopes, M Parks, G Riboldi, BM Schilder…T Raj (2020) Discordant transcriptional signatures of mitochondrial genes in Parkinson’s disease human myeloid cells. bioRxiv; https://doi.org/10.1101/2<IP_ADDRESS>407
- BM Schilder & T Raj (2020) Fine-Mapping of Parkinson’s Disease Susceptibility Loci Identifies Putative Causal Variants. bioRxiv, 0–30; https://doi.org/10.1101/2<IP_ADDRESS>0158.
- K de Paiva Lopes, GJL Snijders, J Humphrey, A Allan, M Sneeboer, E Navarro, BM Schilder…T Raj (2020) Atlas of Genetic Effects in Human Microglia Transcriptome across Brain Regions, Aging and Disease Pathologies. bioRxiv; https://doi.org/10.1101/2<IP_ADDRESS>6113.
Fine-mapping methods are a powerful means of identifying causal variants underlying a given phenotype, but are underutilized due to the technical challenges of implementation. echolocatoR is an R package that automates end-to-end genomics fine-mapping, annotation, and plotting in order to identify the most probable causal variants associated with a given phenotype.
It requires minimal input from users (a GWAS or QTL summary statistics file), and includes a suite of statistical and functional fine-mapping tools. It also includes extensive access to datasets (linkage disequilibrium panels, epigenomic and genome-wide annotations, QTL).
The elimination of data gathering and preprocessing steps enables rapid fine-mapping of many loci in any phenotype, complete with locus-specific publication-ready figure generation. All results are merged into a single per-SNP summary file for additional downstream analysis and results sharing. Therefore echolocatoR drastically reduces the barriers to identifying causal variants by making the entire fine-mapping pipeline rapid, robust and scalable.
In R:
if(!"remotes" %in% row.names(installed.packages())){install.packages("remotes")}
remotes::install_github("RajLabMSSM/echolocatoR")
As with most softwares, installation is half the battle. The easiest way to install all of echolocatoR’s dependencies (which include R, Python, and command line tools) and make sure they play well together is to create a conda environment.
If you haven’t done so already, install conda.
Download the echoR.yml file found here (this file tells conda what to install).
In command line, create the env from the .yml file:conda env create -f <path_to_file>/echoR.yml
Activate the new env:conda activate echoR
Install echolocatoR from command line so that it installs within the conda env:
Open Rstudio from the command line interface (not by clicking the Rstudio icon). This helps to ensure Rstudio can find the paths to the packages in the conda env:open model_celltype_conservation.Rproj
Alternatively, the conda env also comes with radian, which is a convenient R console that’s much more advanced than the default R console, but doesn’t require access to a GUI. This can be especially useful on computing clusters that don’t support RStudio or other IDEs.radian
Finally, to make extra sure echolocatoR uses the packages in this env (esp. if using from RStudio), you can then supply the env name to the finemap_loci()
function (and many other echolocatoR functions) using conda_env="echoR"
.
You can also install echolocatoR using the compressed binary file available on Google Drive. See the README within the folder for further instructions.
Lastly, if you’d like (or if for some reason none of the other installation methods are working for you), you can alternatively clone and then build echolocatoR:
git clone https://github.com/RajLabMSSM/echolocatoR.git
Build --> Install and Restart
(or pressing the keys CMD + SHIFT + B
on a Mac).For a full list of required and suggested packages, see DESCRIPTION.
Additionally, there’s some optional R dependencies (e.g. XGR, Rgraphviz) that can be a bit tricky to install, so we’ve removed them as requirements and instead provided a separate R function that helps users to install them afterwards if needed:
data.table: * data.table*(https://github.com/Rdatatable/data.table) is a great R package for reading/writing/transforming tables far faster than base R methods. Unfortunately, in data.table v1.14 they made some changes that cause errors reading/writing with compressed files (.gz) without additional setup steps on your computer. Therefore, I recommend you use versions v1.13 (the current CRAN binary distribution, NOT the source distribution, as of Feb 2021).
For a full list of required python packages, see the conda env echoR.yml. But here are some of the key ones.
- python>=3.6.1
- pandas>=0.25.0
- pandas-plink
- pyarrow
- fastparquet
- scipy
- scikit-learn
- tqdm
- bitarray
- networkx
- rpy2
- requests
query_by="tabix"
in finemap_loci()
.Rapid multi-core downloading of large files (e.g. LD matrices from UK Biobank).
To use it, specify download_method="axel"
in finemap_loci()
.
Update: A conda version of axel has been kindly provided by @jdblischak, no longer requiring a separate installation.
However, if you want to use axel without the conda env, see this tutorial for more info on installation. Here’s a quick overview:
brew install axel
yum install epel-release; yum install axel
yum install axel; dnf install axel
aptitude install axel
echolocatoR will automatically check whether you have the necessary columns to run each tool you selected in finemap_loci(finemap_methods=...)
. It will remove any tools that for which there are missing necessary columns, and produces a message letting you know which columns are missing. Note that some columns (e.g. MAF
,N
,t-stat
) can be automatically inferred if missing.
For easy reference, we list the necessary columns here as well.
See ?finemap_loci()
for descriptions of these columns.
All methods require the columns: SNP
,CHR
,POS
,Effect
,StdErr
Additional required columns:
The main output of echolocatoR are the multi-finemap files (for example, data("BST1")
). They are stored in the locus-specific Multi-finemap subfolders.
SNP
,CHR
,POS
,Effect
,StdErr
. See ?finemap_loci()
for descriptions of each.NA
(or 0
for the purposes of plotting).N
fine-mapping tool(s), i.e. Support>1
(default: N=1
).mean.PP>0.95
) then mean.CS
is 1, else 0. This tends to be a very stringent threshold as it requires a high degree of agreement between fine-mapping tools.Separate multi-finemap files are generated for each LD reference panel used, which is included in the file name (e.g. UKB_LD.Multi-finemap.tsv.gz).
Each fine-mapping tool defines its CS and PP slightly differently, so please refer to the associated original publications for the exact details of how these are calculated (links provided above).
For more detailed information about each dataset, use ?
:R library(echolocatoR) ?NOTT_2019.interactome # example dataset
Data from this publication contains results from cell type-specific (neurons, oligodendrocytes, astrocytes, microglia, & peripheral myeloid cells) epigenomic assays (H3K27ac, ATAC, H3K4me3) from human brain tissue.
For detailed metadata, see:
data("NOTT_2019.bigwig_metadata")
Built-in datasets:
data("NOTT_2019.interactome")
# Examples of the data nested in "NOTT_2019.interactome" object:
NOTT_2019.interactome$`Neuronal promoters`
NOTT_2019.interactome$`Neuronal enhancers`
NOTT_2019.interactome$`Microglia promoters`
NOTT_2019.interactome$`Microglia enhancers`
...
...
NOTT_2019.interactome$H3K4me3_around_TSS_annotated_pe
NOTT_2019.interactome$`Microglia interactome`
NOTT_2019.interactome$`Neuronal interactome`
NOTT_2019.interactome$`Oligo interactome`
...
...
API access to full bigWig files on UCSC Genome Browser, which includes
Data from this preprint contains results from bulk and single-cell chromatin accessibility epigenomic assays in 39 human brains.


Klopp says Van Dijk is standout candidate above Messi for Ballon d'Or glory
by OmnisportLiverpool boss Jurgen Klopp says Virgil van Dijk should beat Lionel Messi to Ballon d'Or glory next month.
Dutch defender Van Dijk has had a stunning year with Liverpool, helping the Reds win the Champions League in June.
They narrowly missed out on last season's Premier League title but are heading the chase for domestic glory in England this term after an unbeaten start.
Klopp can see why Barcelona superstar Messi would be a popular choice for the individual honour, because of his career accomplishments.
But rather than give a sixth Ballon d'Or to Messi, Klopp believes there is a strong case for Liverpool's defensive talisman to walk away with the trophy at the Paris ceremony on December 2.
Real Madrid's Croatian playmaker Luka Modric was last year's winner of the prize, which is awarded annually by France Football magazine.
Klopp said: "If you give the Ballon d'Or to the best player of this generation, then you can give it always to Lionel Messi, that's how it is.
"But if you give it to the best player of last season, then it was Virgil van Dijk.
"So I don't know exactly how it will work, but that's how I see it.
"If it's for the best player of all, then it's Lionel. The best player of last season, it's Virgil. We will see."
Van Dijk also helped Netherlands to qualify for Euro 2020 this year, while Messi featured as Argentina finished third at the Copa America.


{% if title %}
Group Members:
Deyuan Chen, SUSTech
Chenguang Tang, BUPT
Chunjiang Li, BUPT
This project is for the Elevate course SCI 498 - 410: Online Social Network Analysis,
taught by Dr. Aron Culotta at the Illinois Institute of Technology.
Prediction = {{ prediction }}
Confidence = {{ confidence }}


Lorem ipsum dolor sit amet consectetur adipisicing elit. Recusandae il assumenda, esse distinctio voluptatum sequi, quibusdam voluptate iusto enim?
This is a small text
Creative Director
Use buttons with first .btn and then .btn-*
Use buttons with first .badge and .badge-dark or .badge-light, then apply your .bg-*
Primary Teal Dark Sin paragraph Secondary SM Orange SM Yellow SMIn a paragraph Normal From xs XS to a SM SM Or even a large one LG XL for bigger things
Webfonts of Font Awesome are used, and you can create this using .icon-layer also with stuff like .icon-badge


Pure Motion
What do you think about web standards? Are they good or bad?
It seems like a good idea that we are all work on the same page. I know that in some ways this can limit creativity, however, from what I've seen on the web, there will continue to be break throughs and modifications.
Does the standard structure make sense to you? Why or why not?
They do seem to make sense to me. I like a set of items to follow and then we add personal touches. So, I guess I am saying that I still want some freedom.
Do you like the new HTML5 elements, such as <header>
, <footer>
, and <nav>
? Why or why not?
They seem very clean to me and this seems nice at this point. Maybe I would a different view if I already had been programming for awhile.
Why is reset.css necessary?
Reset, resets the browsers default to make way for your specifications.
What browsers have you used? Did you ever notice that sites looked different in different browsers? Do you think it's good or bad that they do?
Safari, Firefox, and Chrome. Yes, I have noticed that the placement of elements are different and sometimes the look of an element will be changed. On occasions, there are pieces even missing, although this is rare.
In these cases I was the "consumer" and would have liked uniformity to help me spend less time looking for items.
Did you find any resources on your own that helped you better understand a topic? If so, please list it.
I really like: http://www.w3schools.com/html/default.asp
2014, The Happiness Company


@Suspendable fun waitForStateConsumption(stateRefs: Set<StateRef>): Unit
Suspends the current flow until all the provided StateRefs have been consumed.
WARNING! Remember that the flow which uses this async operation will NOT wake-up until all the supplied StateRefs have been consumed. If the node isn't aware of the supplied StateRefs or if the StateRefs are never consumed, then the calling flow will remain suspended FOREVER!!
stateRefs
- the StateRefs which will be consumed in the future.


You have reached the end of the universe... Not really but you've gone somewhere we haven't yet discovered.
Come back home.


{% extends "navbar-notloggedin.html" %} {% block content %}
The system implemented a text classification method based on the methodology proposed by Ying Chen, Yilu Zhou, Sencun Zhu, and Heng Xu in their report titled "Detecting Offensive Language in Social Media to Protect Adolescent Online Safety". This report proposed a Lexical Syntactic Feature architecture to detect offensive content. The architecture evaluates the contribution of various forms of profanities and obscenities to determines the offensiveness level of sentences in some content. The steps of the sentence offensiveness calculation and rating are the following:
This step is responsible for obtaining and normalizing the textual content to evaluate. The content is obtained from the user through a variety of methods outlined in the About the Application section. The text is then preprocessed by tokenizing sentences and words within sentences, performing spelling correction to eliminate unknown words, normalizing words by changing all words to lowercase, removing punctuation, and removing words with non-alpha characters, and tagging the words with Part-Of-Speech tags.
The Feature Extraction phase extracts features from the processed input which are used to evaluate a sentence's offensiveness level. This process uses a combination of lexical and syntactic features to evaluate a sentence. A dictionary of strongly and weakly offensive words per category is used by the system to identify words that could potentially be offensive. The words that match strongly or weakly offensive words in the dictionary are flagged, along with their location.
Once all strongly and weakly offensive words have been extracted, the algorithm attempts to classify the sentence containing the offensive words as offensive in various categories. A sentence is immediately classified as offensive in any category in which it has an strongly offensive word in. A sentence can also be classified as offensive if the number of weakly offensive words within a certain distance from each other passes a threshold. All sentences within a given content are classified in this manner.
Once all sentences are classified according the the various offensive categories, the rating generation creates category ratings and an overall rating. The ratings are ratio based, however since non-offensive words are much more common than offensive words, non-offensive words have a smaller impact on the ratio. Ratios are calculated to identify the number of offensive sentences for a given category out of all sentences, as well as the number of offensive words for a given category out of all words. These ratios are used to generate category ratings. Then, the category ratings are used to create an overall rating. The overall rating incorporates the category ratings and the user's weight severity per category. The algorithm's output is category ratings, an overall rating, and the words flagged as offensive for each category.


Flask is usually used with the decorators. Decorators are simple and you have the URL right next to the function that is called for that specific URL. However there is a downside to this approach: it means all your code that uses decorators has to be imported upfront or Flask will never actually find your function.
This can be a problem if your application has to import quick. It might have to do that on systems like Google’s App Engine or other systems. So if you suddenly notice that your application outgrows this approach you can fall back to a centralized URL mapping.
The system that enables having a central URL map is the add_url_rule() function. Instead of using decorators, you have a file that sets up the application with all URLs.
Imagine the current application looks somewhat like this:
from flask import Flask
app = Flask(__name__)
@app.route('/')
def index():
pass
@app.route('/user/<username>')
def user(username):
pass
Then the centralized approach you would have one file with the views (views.py) but without any decorator:
def index():
pass
def user(username):
pass
And then a file that sets up an application which maps the functions to URLs:
from flask import Flask
from yourapplication import views
app = Flask(__name__)
app.add_url_rule('/', view_func=views.index)
app.add_url_rule('/user/<username>', view_func=views.user)
So far we only split up the views and the routing, but the module is still loaded upfront. The trick to actually load the view function as needed. This can be accomplished with a helper class that behaves just like a function but internally imports the real function on first use:
from werkzeug import import_string, cached_property
class LazyView(object):
def __init__(self, import_name):
self.__module__, self.__name__ = import_name.rsplit('.', 1)
self.import_name = import_name
@cached_property
def view(self):
return import_string(self.import_name)
def __call__(self, *args, **kwargs):
return self.view(*args, **kwargs)
What’s important here is is that __module__ and __name__ are properly set. This is used by Flask internally to figure out how to name the URL rules in case you don’t provide a name for the rule yourself.
Then you can define your central place to combine the views like this:
from flask import Flask
from yourapplication.helpers import LazyView
app = Flask(__name__)
app.add_url_rule('/',
view_func=LazyView('yourapplication.views.index'))
app.add_url_rule('/user/<username>',
view_func=LazyView('yourapplication.views.user'))
You can further optimize this in terms of amount of keystrokes needed to write this by having a function that calls into add_url_rule() by prefixing a string with the project name and a dot, and by wrapping view_func in a LazyView as needed:
def url(url_rule, import_name, **options):
view = LazyView('yourapplication.' + import_name)
app.add_url_rule(url_rule, view_func=view, **options)
url('/', 'views.index')
url('/user/<username>', 'views.user')
One thing to keep in mind is that before and after request handlers have to be in a file that is imported upfront to work properly on the first request. The same goes for any kind of remaining decorator.


FTC WFH - Sanity Reliever
Choose how long do you want the script to run
1 hour
2 hours
3 hours
4 hours
5 hours
6 hours
7 hours
8 hours
9 hours


$ git clone https://git-wip-us.apache.org/repos/asf/incubator-annotator-website.git
We are currently seeking developers and community members interested in participating in the future of annotation.
Our intended focus areas are:
The<EMAIL_ADDRESS>mailing list is where most of our conversations currently happen. Subscribe by emailing<EMAIL_ADDRESS>and be sure to say "hi" once you're in!
Viewdev@
's archive
$ git clone https://git-wip-us.apache.org/repos/asf/incubator-annotator-website.git
$ git clone https://git-wip-us.apache.org/repos/asf/incubator-annotator.git
You can view the repo's contents online.
Apache Annotator is an effort undergoing incubation at The Apache Software Foundation (ASF) sponsored by the Apache Incubator PMC. Incubation is required of all newly accepted projects until a further review indicates that the infrastructure, communications, and decision making process have stabilized in a manner consistent with other successful ASF projects. While incubation status is not necessarily a reflection of the completeness or stability of the code, it does indicate that the project has yet to be fully endorsed by the ASF.


Geographic Range
Given the Height of the Light Above Sea Level and the Height of the Eye of the Observer above Sea Level, Compute the Geographic Range
Height of the Light above Sea Level (specify units):
feet
meters
Height of the eye of the Observer above Sea Level (specify units):
feet
meters
Geographic Range:
(Nautical Miles)


Hello !
Here is a list of records I have and records I'm looking for.
If you are in possession of one of these records & you want to get rid of them for a reasonable price, feel free to contact me at<EMAIL_ADDRESS>.
I may be interested in exchange too.
Here are the records I’m looking for : Big Brother and the holding company — Cheap thrills Bob Dylan — Blonde on blonde David Bowie — Heroes David Bowie — Station to station Depeche Mode — Music for masses Depeche Mode — Some Great Reward Depeche Mode — Violator Devo — Q: Are we not men ? A: We are Devo ! Johnny Cash — At Folson prison Kraftwerk — Autobahn Kraftwerk — The Man-Machine Kraftwerk — Trans-Europe Express Love — Forever Changes Neil Young — Live at Massey Hall 1971 Neil Young — On the beach New Order — Low life Nick Drake — Five leaves Left Nick Drake — Bryter Layter Nico — Chelsea Girl Sheila — King of the world Siouxsie & the Banshees — The Scream Status Quo — Picturesque Matchstickable messages from the Status Quo Talking Heads — Little creatures Talking Heads — Speaking in tongues Talking heads — Talking Heads 77 The Beach Boys — Pet sounds The Beach Boys — Smiley Smile The Beatles — Rubber Soul The Cure — Boys don’t cry The Cure — Japanese whispers The Cure — Kiss me, kiss me, kiss me The Cure — Pornography The Cure — Three imaginary boys The Smith — Louder than bombs The Smith — The queen is dead The Smith — The Smith The Velvet Underground — White light/white heat Van Dyke Park — Discover America Violent Femme — Violent Femme ...
ǂ
And here the records I have : A-ha — Take on meMAXI 45 AC/DC — Back in black AC/DC — For those about to rock AC/DC — Highway to hell Adam & the Ants — Kings of the wild frontier Adam & the Ants — Prince Charming Aerosmith — Get your wings Aerosmith — Rocks Alice Cooper — Billion Dollar Babies Alice Cooper — Killer America — America Aphrodite's Child — 666 VERTIGO SWIRL Atoms for peace — AMOK Atoms for peace — Default MAXI 45 Barry White — Greatest Hits Beck — A Western Harvest Field by Moonlight Billy Idol — Flesh for fantasy MAXI 45 Billy Idol — Rebel Yell Billy Idol — Vital idol Black Sabbath — Master of reality Black Sabbath — Paranoid Blue öyster cult — Secret Treaties Blue öyster cult — Some enchanted evening Blue Swede — Hooked on a feeling Bob Dylan — Nashville Skyline Bob Dylan — Blood on the track Bob Dylan — Desire Bob Dylan — Dylan Bob Dylan — Greatest hits Bob Dylan — Greatest hits 2 Bob Dylan — Highway 61 Revisited Bob Dylan — Infidels Bob Dylan — Pat Garrett & Billy the kid Bob Dylan — Saved Bob Dylan — Slow train coming Bob Dylan — Street Legal Bob Dylan — Subterranean Homesick Blues Bob Dylan — The freewheelin' Bob Dylan — The times they are a-changin' Bob Dylan & The Band — Before the flood Bob Marley & the wailers — Babylon by bus X2 Bronsky Beat — The age of consent Bruce Springsteen — Born in the U.S.A. Carpenters — Now & Then Cat Steven — Mona Bone Jakon Cheap Trick — All shook up Cheap Trick — At Budokan Cheap Tricks — Dream Police X2 Chicago — Chicago Cream — Wheels of fire Creedance Clearwater Revival — Pendulum Crocodiles — Sleep forever Crosby, Stills, Nash & Young — Déjà vu David Bowie — Aladdin Sane David Bowie — ChangesOneBowie David Bowie — Diamond Dogs David Bowie — Hunky Dory David Bowie — Let's Dance David Bowie — Never let me down David Bowie — Scary Monster David Bowie — Space Oddity David Bowie — The rise and fall of Ziggy Stardust and the spiders from Mars David Bowie — The man who sold the world Dead or Alive — Youthquake Def Leppard — High n' Dry Def Leppard — On through the night Devo — Freedom of choice Dick Annegarn — Dick Annegarn Donovan — Neutronica Doors — L.A.Woman Doors — Morrison Hotel Duran Duran — Notorious Duran Duran — Rio Duran Duran — Seven and the ragged tiger Eagles — Hotel California Eagles — The long run Eagles — Their greatest hits 1971-1975 Electric Light Orchestra — Discovery Electric Light Orchestra — Out of the Blue Elton John — Too low for zero Elvis Presley — Elvis Forever Emerson Lake & Palmer — Works Fleetwood Mac — Big Love Gary Numan — The pleasure principle Gerry Raferty — City to city Grace Jones — Nightclubbing Guns n' Roses — Appetite for destruction Hanoi Rocks — Self destruction blues Hawkwind — Roadhawks Ian Dury — New boots and panties INXS — Kick Iron Butterfly — In-a-gadda-da-vida Iron Maiden — Killers Janis Joplin — Greatest Hits Jeff Buckley — Grace Jefferson Starship — Dragon Fly Jefferson Starship — Red Octopus Joan Baez — The night they drove old dixie down Joan Baez — Where are you now, my son ? John Lennon — Imagine John Lennon — Plastic Ono Band John Lennon & Yoko Ono — Double Fantasy Johnny Cash — Greatest Hits Vol.3 Johnny Cash — Johnny Cash Johnny Cash — The king of country Joy Division — Atmosphere/She's lost control MAXI 45 Joy Division — Factory by Moonlight Joy Division — Unknown Pleasure Joy Division — Warsaw Judas Priest — Killing Machine Judas Priest — Screaming for vengeance Kate Bush — Hounds of Love Kate Bush — Never for ever Kiss — Alive II Kiss — Distroyer Kiss — I was made for lovin'you BLUE MAXI 45 Kiss — Paul Stanley Kitsuné Maison — Compilation 4 Klaus Nomi — Klaus Nomi Kraftwerk — Radio-activity Led Zeppelin — In through the outdoor Led Zeppelin — Led Zepplin IV Leonard Cohen — New skin for the old ceremony Leonard Cohen — Song of Leonard Cohen Les Ritas Mistsouko — The Nocomprendo Loggins and Messin — On stage Lou Reed — Berlin Lou Reed — Coney Island Baby Lou Reed — Live Lou Reed — Rock n roll animal Lou Reed — Transformer X2 Madonna — Like a Virgin Madonna — True Blue Mecano — Descanso Dominical Michael Jackson — Thriller Moriarty — “Gee wiz but this is a lonesome town” Motion picture soundtrack — 2001 a space odyssey Motion picture soundtrack — A Clockwork Orange Motion picture soundtrack — Dirty Dancing Motion picture soundtrack — Grease Neil Young — After the gold rush Neil Young — Trans New Order — Blue Monday MAXI 45 New Order — Confusion New Order — Movement New Order — Power, lie & corruption Nina Hagen — New york/N.Y MAXI 45 Nina Hagen Band — Nina Hagen Band Nina Hagen Band — Unbehagen Nirvana — Nevermind Otis Redding — The Otis Redding Story Patti Smith Group — Easter X2 Patti Smith Group — Wave Pink Floyd — A saucerful of secret Pink Floyd — Animals Pink Floyd — Another brick in the wall Pink Floyd — Atom Heart Mother Pink Floyd — Dark side of the moon Pink Floyd — Meedle Pink Floyd — The piper at the gate of dawn Pink Floyd — Wish you were here Prince & the Revolution — Around the world in a day Queens of the stone age — Songs from Amsterdam, a collection of live and studio recording Radiohead — Amnesiac Radiohead — I might be wrong Live recording Radiohead — In Rainbows Radiohead — Ok Computer X2 Radiohead — The Bends Randy Newman — Trouble in paradise Randy Newman — Little Criminals Rare Earth — Get ready Ray Charles — True to life Rolling Stones — Beggars Banquet Rolling Stones — Big Hits (High tide and green grass) Rolling Stones — Black and Blue Rolling Stones — Emotional rescue Rolling Stones — Get yer ya-ya's out! Rolling Stones — Let it bleed Rolling Stones — Made in the Shade Rolling Stones — Some Girls Rolling Stones — Tattoo you Rolling Stones — Their satanic majesties request Roxy Music — Flesh+Blood Rush — Moving Pictures Rush — Signals Serge Gainsbourg — Mauvaises Nouvelles des étoiles Serge Gainsbourg — Love on the beat Serge Gaisbourg — “L'homme à la tête de choux” Siouxsie & the Banshees — Strange Fruit at The peel sessions Styx — Kilroy was here Supertramp — Breakfast in America Sweet Smoke — Just a poke T-REX — The Slider Talking Heads — Fear of music Talking Heads — Remain in light Tame Impala — Elephant MAXI 45 Tears for Fears — Everybody wants to rule the world MAXI 45 Tears for Fears — Song from the big chair Tears for Fears — The Hurting Ted Nudgent — Scream Dream Tenacious D — Live (released for 2015' record store day) The Beach Boys — 32, Little Deuce Coupe The Beach Boys — All summer long/Little Honda The Beach Boys — Beach Boys' Party The Beach Boys — Love you The Beach Boys — Surfin' USA The Beatles — Abbey Road The Beatles — Let it be The Beatles — Revolver The Beatles — Sgt Peppers Lonely Hearts Club Band The Beatles — The Beatles/1962-1966 RED The Beatles — The Beatles/1967-1970 BLUE The Beatles — The white Album The Clash — London Calling The Clash — London Calling MAXI 45 The Cure — Faith The Cure — In between days The Cure — Standing on the beach The Singles The Cure — The Top The Cure — The Upstairs room The Human League — Dare! The Kills — Midnight Boom The Kinks — Low Budget The Moody Blues — To our childrens childrens children The Motor — Tenement Steps The Osmonds — Homemade The Police — Reggatta de Blanc The Police — Synchronicity The Rolling Sones — Sticky Fingers The Secret policeman's concert... The Smith — Meat is Murder The Stranglers — The Collection 1977-1982 The Sugarhill Gang — Rappers Delight The The — Infected The Velvet Underground — The velvet underground The Velvet Underground — The Velvet Underground & Nico The Who — Tommy The Who — Who's next Tom Waits — Blue Valentine Tom Waits — Rain Dog Tom Waits — Swordfishtrombones Toto — Past to present 1977-1990 Tubeway Army — Replicas Twisted Sister — Come out and play U2 — Rattle and hum U2 — The Joshua Tree U2 — WAR Virgin Prunes — If i die I die Visage — Visage Wham! — The Final XTC — Black Sea


An anonymous user can explore Sunbird and access the content avilable in the repository.
| Step | Screen |
|---|---|
| Click the Explore Sunbird |
| Step | Screen |
|---|---|
| On Sunbird you can search the content using
1.Enter the text in Search text box. 2.Click search icon Note: You can further filter the search result 3.Enter the Enter DIAL Code text box. Refer Searching Content Using DIAL Code 4.Select following filter from their respective drop-down lists to filter the content: a) Board b) Medium c) Subject d) Class 5.Click Submit to search using filters 6.Click Reset to reset filters 7.Browse through the list of available content. Use a.Previous to go to previous set of content b.Next to go to next set of content |
|
| Step | Screen |
|---|---|
| 1.Select Enter Dial Code button to search a textbook. The popup is displayed to enter the Dial Code.
a.Enter the DIAL Code in Enter DIAL Code here text box Note:DIAL Code is the 6 digit alphanumeric code found under a QR code in your physical text book. b.Click Submit </tr> | |


Ensembl provides a DAS reference server which gives access to genomic sequences, the latest Ensembl gene predictions, and for some species, karyotypes and ditags. A list of the sources currently served from the Ensembl DAS reference server may be found as XML documents at:
DAS request URLs have a specific format:
protocol://site-prefix/das/data-source/command?arguments
For example:
For more information on the DAS protocol, see our main DAS documentation.


You need JavaScript to view this website. Please follow the
link
to enable JavaScript. Then refresh the browser.


Endpoints
Overview
- Login -
POST /user/login
- Given a LDAP username and a password (
{"username": "USER", "password": "PASS"}
), returns a session ID. - This token is passed in the header of the GET requests to access the genomic data.
- Authentication and authorisation are managed by OpenCGA.
- Given a LDAP username and a password (
- Reads -
GET /reads/{study_id}/{sample_id}
- This endpoint allows access to read data (BAM)
- Variants -
GET /variants/{study_id}/{vcf_type}/{sample_id}
- This endpoint allows access to variant data (VCF)
- The URL parameter
vcf_type
refers to the type of data stored in the VCF (STR, CNV, SV, SMALL_VARIANT, FAMILY, SOMATIC)
Query parameters
To know more about the parameters that can be used to filter the data, please refer to htsget specification.


IRA Control Panel
The IRA Control Panel controls all aspects of the IRA Radio Astronomy and SETI receiver system, once the receiver subsystem has been initialized with the IRA Starter window.
Control Panel Areas
The Detector/LMST area
This area shows various values of overall interest to the observer:
LMST
The Local Mean Sidereal Time which is the local time-of-day in sidereal time. A sidereal day is shorter than a regular day by approximately 4 minutes, which means that the LMST “drifts” relative to the local time.
Runtime
The amount of time the application has been running
Detector Value
The current continuum detector output value, after DC gain and Offset have been applied.
Peak Value
The current peak value from the continuum detector, after DC gain and Offset have been applied.
This value is reset whenever the RF gain, DC gain, or Offset are changed
The Pulsar Area
The Pulsar area controls various aspects of the pulsar display system:
Pulsar rate
This input area sets the pulsar observing rate, in Hz. You should use a value that is listed in the Parkes/ATNF pulsar data. Press ENTER in order for the pulsar rate data that you entered to take effect.
Folding Const
This choice control sets the folding constant used in the synchronous detection algorithm. The choices are:
5, 10, 15, 20, 25, 30
DM
This slider control determines the Dispersion Measure of the observation. It currently doesn't do anything, but in future will allow for coherent de-dispersion. At L-band frequencies and above, over the modest observing bandwidths contemplated by this application, the total time delay due to dispersion is very small, and thus not worth the CPU load of compensating for it.
Delay(ms)
This shows the computed across-the-band dispersion delay based on the given Dispersion Measure.
PhaseErr
This shows the residual phase/frequency error, based on the configured pulsar sample rate, and the pulsar rate given as input.
Show
This control causes the Pulsar Pulses window to be displayed.
The Transients Area
This area shows any recently-detected transients in the detector output. The output shows GMT, transient width, and the peak and average strengths of the transient.
Power Threshold
Slider control sets the relative power threshold used to trigger a Transient detection
Transient Duration
Slider control sets the duration (in 0.01s increments) used to trigger a Transient detection
Both the Transient Duration and Power Threshold conditions must be met in order for a transient to be displayed and logged. Note that in split mode, a transient is only triggered if the transient appears only in the primary beam (A channel) and not the secondary beam (B channel), subject to the usual duration and power threshold constraints.
Current Declination
This area is used to input the current observation declination. If the RCVR_DEC_MODE environment variable is set to external <filename>, then this area is updated automatically from external telescope tracking software. When entering data here, remember to press ENTER to have the entered declination take effect.
Current RA
This area shows the current right ascension of the observation. If the RCVR_RA_MODE environment variable is set to transit, then this area is updated automatically to the current LMST. This assumes a meridian-transit instrument, aligned on the local meridian. When entering data here, remember to press ENTER to have the entered right ascension take effect.
If the RCVR_RA_MODE environment variable is set to external <filename>, then this area is updated automatically from external telescope tracking software.
The RF Controls Area
Tuner Frequency
This input area sets the tuning frequency of the Gnu Radio software/hardware subsystem. The units used in this area are Hz. If the desired tuner frequency is 10.7MHz, then you must enter: 10700000 or 10.7e6 into this area. You must press ENTER for the frequency you entered to take effect.
Sky Frequency
This is the same as the RF Tuner frequency, unless the Lock control is disabled
LOCK
When activated (the default), the Sky frequency is the same as the RF Tuner frequency. For situations where a down-converter is used, you may disable the LOCK control, and enter a Sky Frequency. Once set, the Sky Frequency will track the RF Tuner Frequency.
EXIT
This button causes IRA to exit
RF Gain
This input area sets the RF gain of the Gnu Radio RF software/hardware.
GC A
This input area allows you to enter a gain compensation coefficient for the A channel
GC B
This input area allows you to enter a gain compensation coefficient for the B channel
Gain compensation allows you to bring both the 'A' and 'B' channels into relative balance. It is nearly always the case that there will be a small amount of gain imbalance, even in a carefully-design RF signal chain. For split, dual, and interferometer modes, it is very helpful for there to be gain balance between the two channels.
The Continuum Controls Area
DC Gain
This control sets the post-detector “DC” gain for continuum observing. Note that this doesn't affect any hardware, and is a software-only feature in SDR-based radios. Changing this control resets the Detector Peak Value field.
Mult.
This control sets a fixed multiplier for the DC Gain control. The default is x1, but x5, x10, x15, x20, and x25 are also available as choices. Changing this field resets the Detector Peak Value field.
Offset
This control sets the post-detector “DC” offset for continuum observing. Note that this doesn't affect any hardware, and is a software-only feature in SDR-based radios. Changing this control resets the Detector Peak Value field.
Integration
This slide control sets the integration time, in seconds, for continuum observations.
Refmult
This control sets the value of the reference multiplier, when observing in Dicke-switched mode. It is used generally to cause the reference input to be the same as the cold sky input when making observations. An external program is required to enable Dicke-switched mode.
Show
This causes the Continuum stripchart window to be displayed.
The SETI Analysis Area
This area is used to display and control SETI processing, and display any results (“hits”) that have recently occured.
The SETI browser area
This browser area show recent hits, with:
Frequency, count, chirp rate, and sigma values for this hit
Sigma_K
This slider control sets the value of 'K' used in determining the threshold for declaring a given FFT bin a “hit”. The lower this value, the more likely that false hits will occur.
SETI Integration
This sets the integration time, in seconds used in SETI processing. If the telescope is used in tracking mode, the values for this parameter can be set quite high, which will improve sensitivity. For telescope observing schemes in which objects “drift” through the beam, the, integration time should be set to no higher than ½ the beam transit time.
Show
This causes the SETI Waterfall window to be displayed.
The Spectral Analysis Area
This area controls the operation of the “conventional” spectral display, such as might be used on a conventional laboratory spectral analyser. There are two controls:
Spectral Integration
This control sets the integration time, in seconds, of the spectral display. Setting a high value improves the sensitivity for fixed-frequency signals, but can “smear” signals that are drifting from bin-to-bin.
Show
This causes the conventional spectral display window to be shown.
The IRA Button
This button causes some general information about IRA to be displayed, including license and version information.
The $HOME/astro_data directory
While the IRA application is running, it produces several data files, logging each of the important data items:
Total Power/Continuum
Files with names: tp-YYYYMMDDHH.dat
Short records: HH:MM:SS detector-value
Current LMST plus the current detector value as a floating point number
Long records: HH:MM:SS detector-value Header-info
Header-info is produced every 10 seconds
Dn=Declination,Ra=Right-Ascension,Ti=integration-time,Fc=RF-center-frequency,Bw=RF-bandwidth,Ga=RF-gain
If a secondary beam is in use (“split” mode), then there will also be files of the form: tp2-YYYYMMDDHH.dat with an identical format to the primary-beam total-power files.
Spectral
Files with names: spec-YYYYMMDDHH.dat
Records: data:HH:MM:SS Header-info [ 6000 floating-point values spread across multiple lines ]
Produced every 15 seconds
Spectral size is fixed at 6000 bins
SETI
Files with names: seti-YYYYMMDDHH.dat
Records: HH:MM:SS declination right-ascension center-frequency count chirp-rate sigma(s)
Transients
File with names: trns-YYYYMMDDHH.dat
Records: HH:MM:SS declination right-ascension center-frequency bandwidth HH:MM:SS width strength [ profile ] + { profile }
HH:MM:SS on the end of the record is GMT time.
The width parameter is the width of the pulse in samples at 100Hz sampling
The strength parameter gives the relative strength of the transient, compared to the surround averaged data.
The primary transient profile is logged between '[' and ']' and is a list of floating-point numbers.
Lines are split every 8 values
If a secondary beam is in use (“split” mode), then the profile of the secondary beam detection, over the same time period, will appear after a '+' between braces '{' and '}'
Pulsar
File with names: psr-YYYYMMDDHH.dat
Records: HH:MM:SS declination right-ascension center-frequency bandwidth pulsar-rate pulsar-sample-rate [ pulse profile ]
pulsar-rate is the pulse rate, in Hz of the observed pulsar
pulsar-sample-rate is the sampling rate in use at the time of the observation, in Hz
The pulse profile is given between '[' and ']' symbols, similar to the Transient profile
Lines are split every 8 values
General Information about IRA and observing considerations


Structs
The following structs are available globally.
-
Undocumented
See more
-
See moreSummoner
struct, containing all of the relevant summoner dataDeclaration
Swift
public struct Summoner
-
See moreChampionStats
struct, containing all of the champion’s statsDeclaration
Swift
public struct ChampionStats
-
See morePassiveSpell
struct, containing data concerning the champion’s passive spellDeclaration
Swift
public struct PassiveSpell
-
See moreChampion
struct, containing all of the relevant status dataDeclaration
Swift
public struct Champion
-
See moreImageData
struct, containing all of the relevant object image dataDeclaration
Swift
public struct ImageData
-
See moreChampionInfo
struct, containing all of the relevant info about a championDeclaration
Swift
public struct ChampionInfo


|
libcex
1.0.0
Modern C++11 embedded webserver library
|
| ▼Ncex | |
| CCertificateInfo | Contains the parsed values of a SSL client certificate received by a client which is using SSL client authentication |
| CFilesystemOptions | Contains all options for the filesystem middleware |
| CMiddleware | Represents a single middleware |
| CProperty | Describes a single property containing one or more typed values |
| CPropertyList | A simple list of properties implemented using std::unordered_map |
| CRequest | Contains the current request and all of its preparsed properties |
| CResponse | Serves as interface to the response which will be sent to the client. Contains functions for modifying HTTP headers and specifying response contents |
| CSecurityOptions | Contains all options for the sessionHandler middleware |
| ▼CServer | Core class of the embedded webserver. Manages a single HTTP/HTTPS listener and performs routing as defined by the installed middlewares |
| CConfig | Structure transporting all configuration options of the embedded server. Note that certain middlewares have additional config structs (e. g. cex::filesystem ) |
| CContext | Internal helper struct for handling libevhtp callback functions |
| CSessionOptions | Contains all options for the sessionHandler middleware |


Various vital signs.
More...
#include <Data.hpp>
Various vital signs.
- Parameters
-
| frame_counter | Frame counter. |
| sensor_state | See XTS_VAL_RESP_STATE_* in xtid.h for meaning. |
| respiration_rate | Respirations per minute |
| respiration_distance | Distance to breather. |
| respiration_confidence | Confidence. Not yet used. |
| heart_rate | Beats per minute. Not yet used. |
| heart_distance | Distance to target with pulse. Not yet used. |
| heart_confidence | Confidence. Not yet used. |
| normalized_movement_slow | Sum of movement within a fixed range from the target, slow integration. |
| normalized_movement_fast | Sum of movement within a fixed range from the target, fast integration. |
| normalized_movement_start | Start of the range to sum. |
| normalized_movement_end | End of the range to sum. |
§ frame_counter
| uint32_t XeThru::VitalSignsData::frame_counter |
§ heart_confidence
| float XeThru::VitalSignsData::heart_confidence |
§ heart_distance
| float XeThru::VitalSignsData::heart_distance |
§ heart_rate
| float XeThru::VitalSignsData::heart_rate |
§ normalized_movement_end
| float XeThru::VitalSignsData::normalized_movement_end |
§ normalized_movement_fast
| float XeThru::VitalSignsData::normalized_movement_fast |
§ normalized_movement_slow
| float XeThru::VitalSignsData::normalized_movement_slow |
§ normalized_movement_start
| float XeThru::VitalSignsData::normalized_movement_start |
§ respiration_confidence
| float XeThru::VitalSignsData::respiration_confidence |
§ respiration_distance
| float XeThru::VitalSignsData::respiration_distance |
§ respiration_rate
| float XeThru::VitalSignsData::respiration_rate |
§ sensor_state
| uint32_t XeThru::VitalSignsData::sensor_state |
The documentation for this class was generated from the following file:


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My name is Josiah Partridge and I am a software engineer in training. Currently, I am studying software engineering at Flatiron School and working as a QA Engineer. I'm passionate about technology and the impact that software has on the world and strive to create practical and beautiful code in order to make people's lives easier.


Sidekick Detail
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Pop Sensation Katy Perry In Awe For Karan Johar Following His Warm Hospitality
From Aishwarya Rai-Bachchan to Alia Bhatt, and from Shahid and Mira Kapoor to Anushka Sharma, Kiara Advani, Ananya Panday and Arjun Kapoor, several celebrities from B-Town were present at the welcome party.
by IANSInternational pop singer Katy Perry, who was in India, thanked filmmaker Karan Johar for the “warm welcome”.
Perry took to the Instagram story and shared a picture of herself with Karan from the star-studded party, which was hosted by the latter in honour of the international sensation.
“Thanks for the warm welcomes,” she captioned the image.
From Aishwarya Rai-Bachchan to Alia Bhatt, and from Shahid and Mira Kapoor to Anushka Sharma, Kiara Advani, Ananya Panday and Arjun Kapoor, several celebrities from B-Town were present at the welcome party.
The pop sensation touched down in Mumbai on Tuesday (12th November) morning. She then had expressed her excitement on being in India and said, “I’m excited to watch some of the other people performing. I’m totally excited to immerse myself in the culture, this week in Mumbai. I am not the girl who stays indoors and orders room service. I go out, seek the world, I love people, culture, traditions. You’re going to catch me on these streets.”
The “Firework” hitmaker was in Mumbai for her concert at the One Plus Music Festival where Grammy Award-winning star Dua Lipa also performed her biggest hits.