So now we have a deep understanding of HTML, but the last page still looked pretty ugly.
The browser applies some default styling with certain tags, like bolding

tags, but we were still looking at a very basic
document - no colors, no other fonts, no spacing. So how do we style
the page to make it look nicer? We use CSS!
As you read through this page, feel free to stop and experiment with writing CSS here - the best way to learn is by trying it out yourself!
CSS stands for Cascading Style Sheets. It's a way of styling our HTML markup using rules that we define. There are three ways to include CSS in our HTML file:
On this page, we'll use inline styles and an internal stylesheet, but the best practice is to use an external stylesheet because it allows for separation of concerns - basically, your HTML and CSS will be separated, so that changing a rule in one place will apply to every HTML page that uses that stylesheet.
Inline styling can be performed on any HTML element using the style
attribute. Within the quotation marks defining the value of the style
attribute, we define a CSS rule which tells the browser
what styling to apply. CSS rules are key/value pairs, separated by a
colon (:). There are many CSS rules we can apply, but let's start with the
color
attribute, which will change the color of the font.
When we write this CSS within the style
attribute of the span
tag:
this text appears blue
This will be the result: this text appears blue
Now let's add another rule, changing the background color for the element:
this text appears blue with an orange background
This will be the result: this text appears blue with an orange background
Note that CSS rules are separated by semi-colons (;).
If you look in the head
of this document, you'll notice a
style
tag - within here we can write a CSS stylesheet
that will apply to the entire document. A stylesheet is a set of CSS
selectors with associated rules for styling our HTML.
A CSS selector is how we select specific HTML
elements that we want to style. After the selector we place curly braces
- {}
- and within the curly braces we write the CSS rules which
only apply to elements selected by that CSS selector. The simplest
selector is just the name of the HTML tag you want to style - note that this
will affect all elements with that tag name. An sample
excerpt from this page's internal stylesheet is shown below:
body {
max-width: 800px;
margin: auto;
font-family: Helvetica, Arial; /* multiple values! */
}
This CSS restricts the width of the body
to be 800 pixels
at maximum and sets the margin to be automatically calculated, which centers
the element within its parent element (which is the entire html
element - the whole page). That CSS is what makes this page appear
as a single column of text centered in the middle of the page.
The final rule specifies the font family - multiple values are provided and separated by a comma, so that if the browser does not support a specific font, a fallback value can be used instead. Here we prefer to use Helvetica, but will fallback to Arial if for some reason the browser doesn't support Helvetica.
Also, note that CSS comments start with /*
and end with */
.
We just saw an example of a simple selector - using the tag name to
identify the element. As another example, we can select all the divs
on our page and make their fonts red like so:
div { color: red; }
What if we don't want to select all elements with the same tag name, though? We can be more specific about a subset of elements using the class and id selectors.
The class selector is denoted by a period followed by the
class name (.classname
) and selects all elements whose
class
attribute's value contains the specified value - which
you define. You can define styling for a specific class and then give an
element that class to apply the styling. For example, the following CSS
styles set the height
and width
of all elements
of the jumbo
class.
.jumbo { height: 1000px; width: 2000px; }
You can also combine tag selectors with class selectors to get
more specific. To refine our CSS above, we can apply the styling only to
divs
with the jumbo
class:
div.jumbo { height: 1000px; width: 2000px; }
id
is an attribute that can be applied to any element and
uniquely identifies it - therefore, whatever value is provided cannot be
used anywhere else within the HTML document.
The id
CSS selector is denoted by a pound sign (or hashtag,
if you prefer), followed by the id: #uniqueIdHere
. For example,
let's say we have an HTML element: I am first!
.
We can target this element and style the font size with the following CSS:
#first { font-size: 32pt; }
We can combine id and other selectors, but there really shouldn't be any need to - since the id should only apply to a single element anyways.
A pseudo-class is a specific keyword at the end of a selector
used to specify that you want to style the selected element but only when
it is in a certain state - for example, when the user is hovering
the mouse over the element, or when a checkbox is disabled or checked.
The syntax is to use a colon (:
) to precede the pseudo-class.
Here's a short list of pseudo-class selectors (there are many more):
:active
:visited
:checked
:disabled
:first
:nth-child()
:hover
For example, the following CSS will make a button become green when the user hovers over it with the mouse:
button:hover { background-color: green; }
Pseudo-elements are similar to pseudo-classes but are prepended by two colons. Some common pseudo-elements are:
::before
::after
::first-line
::first-letter
The previous selectors are fine, but what if you only want to select elements
that are nested within other elements - like selecting
all divs
within other divs
? For that, we need
descendant selectors.
There are two different ways of selecting nested elements - descendant and
direct descendant (or child). To select elements that are direct descendants
of other elements, use the >
operator. For example, to select
all span
elements that are direct children of any div
:
div > span { ... }
This works fine if we have this HTML structure:

some text

But what if we have a p
wrapping around the span
?

some text

To select the span
this time, we need to use the general descendant
selector, which is simply an empty space. So we take out the >
and now, no matter how deep the span
is nested inside the
div
, we can still style it with this CSS:
div span { ... }
~
and adjacent sibling selectors
are denoted by +
. Here's an example:
p ~ ul { ... } /* general - select any ul elements that follow a p element and share the same parent */
p + ul { ... } /* adjacent - select any ul elements that follow directly after a p element */
You can select elements by attribute using the square brackets []
.
Additionally, use certain special characters to match patterns:
~
- value must match within a space-separated list of words^
- starts with the value$
- ends with the value*
- contains the substring valueExample of these kinds of selectors:
a[href] { ... } /* selects all anchor tags with the href attribute, no matter the value */
a[href="http://www.google.com"] { ... } /* selects all anchor tags with the href attribute that exactly match the URL */
a[href~="http://www.google.com"] { ... } /* selects all anchor tags with the href attribute that has the URL as one of its values */
a[href^="https"] { ... } /* selects all anchor tags with the href attribute that start with "https" */
a[href$=".com"] { ... } /* selects all anchor tags with the href attribute that end with ".com" */
a[href*="google"] { ... } /* selects all anchor tags with the href attribute that contain "google" somewhere in the URL */
Combine multiple selectors with commas:
div, p { color: pink; } /* make the text of all divs and paragraphs pink */
.jumbo, #first { background-color: orange; } /* make all elements with the class jumbo or id first have an orange background */
The *
wildcard character can be used to specify "all" elements,
and can be used in any context. Here are a few examples:
* { border: 1px solid black; } /* gives ALL elements on a page a thin border. try it out on this page! */
div > * { color: green; } /* gives green text to all elements that are direct descendants of divs */
The CSS box model is the way that HTML elements are defined - there are actually 4 different concentric boxes, which are - from innermost to outermost:
A diagram of the box model is shown below.
The padding, border, and margin can all be styled, on each side of the box or alltogether. For more information on this, look here. Here's a few examples:
.boxExample {
width: 200px;
height: 20px; /* width and height set the size of the content box */
padding: 5px 1px 8px 20px; /* TRBL - top, right, bottom, left - respectively */
border: 2px solid green; /* set the border on every side to be 2px wide, solid line, and green background color */
/* alternatively, we could use apply these styles individually:
border-width: 2px;
border-style: solid;
border-color: green;
*/
margin-top: 10px; /* set the margin on the top to be 10 pixels */
/* alternatively, we could use shorthand if we want to apply a margin on all sides:
margin: 10px; */
}
When we apply this style to an element, here's what we get:
There are several different types of values we can provide for styles, and each has their own units we can use. These are specified below:
px
- pixelsmm
- millimeterscm
- centimetersin
- inchespt
- points (1/72 of an inch)pc
- picas (12 points)%
- percentage relative to parent element's widthem
- 1em
is the same as the font size of the current elementrem
- stands for "root em" and works the same except refers to the base font sizevh, vw
- these are 1/100th of the height and width of the viewport, respectively#
sign followed by six hex numbers (0-F) with each pair representing rgb values for up to 256 different values of eachrgb(224,176,255)
. Optional alpha (transparency) value.hsl(240,100%,50%)
. Optional alpha (transparency) value.rgb()
hsl()
rotate()
translate()
calc()
url()


Keeping a regular sleep schedule—even on weekends—maintains the timing of the body's internal clock and can help you fall asleep and wake up more easily. Even if real life stands in the way of achieving the perfect sleep routine, making just a few small changes can improve your sleep dramatically..
| Shreya | Akshay | Abhishek | Aarushi |
|---|---|---|---|
| Back-end Front-end Deployment of ML model using Flask |
Back-end Machine Learning |
Back-end Voice control and automation |
Front-end |
Computer science and engineering under graduates and technical enthusiasts with high team spirit well-versed with full-stack development and machine learning algorithms.


tinytabs — Javascript lib for tabbed UIs
Example code
tinytabs is a tiny (1.3 KB minified) Javascript tabbing library. Zero dependencies. All you need is a few layers in a container layer, and bam, tabbed interface. If Javascript is not enabled, it degrades nicely too.
HTML
Include the CSS file
<link rel="stylesheet" type="text/css" href="tinytabs.css" />
Then

Music
 Content here

Videos
 Content

Javascript
// With options. document.addEventListener("DOMContentLoaded", function(e) { tinytabs(document.querySelector("#mytabs"), { anchor: true, hideTitle: false }); }); // Without options. document.addEventListener("DOMContentLoaded", function(e) { tinytabs(document.querySelector("#mytabs")); });
Options
| anchor |
true (default) or false If enabled, when a tab is clicked, it's id is set in url's hashtag so that the tab is retained on page reloads. Also enables linking to a tab directly. Eg: http://kailashnadh.name/tinytabs#tab-example |
| hideTitle |
true (default) or false Hide the title element within section elements. |
| sectionClass | Section element's class. Default is section. |
| tabsClass | Tab (ul) container's class. Default is tabs. |
| tabClass | Individual tab's (li) class. Default is tab. |
| titleClass | Title element's tag. Default is title. |
| onBefore |
function(id, tab) . Callback function that gets evaluated before a tab is activated.
The first arg is the id of the tab and the second is the DOM element of the tab.
|
| onAfter |
function(id, tab) . Callback function that gets evaluated after a tab is activated.
The first arg is the id of the tab and the second is the DOM element of the tab.
|
| onClose |
function(id) . Callback function that gets evaluated while closing the tab.
The argument is the id of the tab.
|


Enrollment
I'm on the waiting list. Will I get in?
- Our goal is to accommodate as many as possible, subject to college enrollment limits and room limitations. The department has a preference order that takes into account major, prior failed attempts to register for the course, etc. It tends to be that many students on the waiting list will get into the course.
Please add your name on the waiting list by submitting a force
request.
Howdy shows the course is full, but I know the room will hold more students than that.
- The course enrollment limit is set below the room capacity, either due to the college enrollment limit (no more than 100 students in a lecture section) or to reserve capacity for computer science or computer engineering students.
Project
What will the project be like?
- Teams of 5-6 students will work with a real external customer (generally non-profits and campus units) to design, plan, develop, test, and deploy a software-as-a-service application. Teams are normally six students, but enrollment may require some teams of five students.
What platforms/languages/etc. can we use?
- The current versions of Ruby and Rails. Deployment will be on Heroku.com, although with instructor permission, deployment can be on other platforms.
Can the project use another language/platform/etc. for the project other than Rails?
- It is expected to be based on Rails because of the tool chain we use in the course. However, exceptions may be allowed with instructor permission.
What if the project is primarily a static-content website?
- Such projects must have some significant service functionality that would not be available in an off-the-shelf content management system, such as Drupal, Joomla, WordPress, etc.
This is rarely true for static-content sites.
Can I write a mobile phone app instead?
- The project can have a mobile client component in JavaScript+HTML5. An example would be access of the phone GPS for a location-based service. But the majority of the focus should be development on the server side.
The course will not provide any support for app development.
All team members must understand both the app and server parts of the code.
How will project groups be assigned?
- You will form teams on your own. If you cannot find a team, post on the class forum and the TAs will help you.
Do I need to choose a project group before the course starts?
- No, but you can if you want. If there are people you like working with, you should discuss team formation early.
Can projects be proprietary?
- The project details must be available to the instructors,
TAs, and fellow students, without any nondisclosure agreement (NDA).
The contents of the service can be proprietary, and demonstrated with placeholder content for demonstrations.
You will also be expected to use various tools to analyze your code,
and many of those tools expect to operate on code that is hosted on a publicly-accessible repository.


Lorem Ipsum is simply dummy text of the printing and typesetting industry. Lorem Ipsum has been the industry's standard dummy.
Lorem Ipsum is simply dummy text of the printing and typesetting industry. Lorem Ipsum has been the industry's standard dummy text ever since the 1500s, when an typesetting industry. Lorem Ipsum has been the industry's standard dummy.
Lorem Ipsum is simply dummy text of the printing and typesetting industry. Lorem Ipsum has been the industry's standard dummy text ever since the 1500s, when an...
Lorem Ipsum is simply dummy text of the printing and typesetting industry. Lorem Ipsum has been the industry's.
Lorem Ipsum is simply dummy text of the printing and typesetting industry. Lorem Ipsum has been the industry's standard dummy text ever since the 1500s, when an.


Taylor Anvil Impact Scenario (TAIS) Data Set¶
TAIS was generated using Sierra/SolidMechanics 1 (a Lagrangian, three-dimensional code for problems with large deformations and nonlinear material behaviors) in combination with ParaView/Catalyst 2. The images were generated in situ (at the same time as the physics simulation) using Catalyst. The simulation is of an Oxygen Free High Conductivity (OFHC) copper cylinder, 2.54 cm long with a diameter of .762 cm and an initial velocity of 190 m/sec, impacting a rigid wall. The ensemble is a sensitivity study that evaluates the effects of changing four parameters of the Johnson-Cook inelastic constitutive law: ajo, bjo, njo, and beta. The height and radius of the cylinder after the impact are compared to experimental photographic results. Two output metrics are calculated for each run, ndrf_last and ndhf_last. These variables are the normalized differences between the radius/height of the final cylinder state from the last timestep of the simulation and the final radius/height of the cylinder in the experiment, respectively. Since the differences would decrease in those cases where the simulation more closely matched the experimental results, the optimal case would be a simulation where the values of these two metrics were zero (i.e. there is no difference between the simulation and the experiment).
Footnotes
- 1
Sierra Solid Mechanics Team. Sierra/SolidMechanics 4.22 User’s Guide. Technical Report SAND2011-7597, Sandia National Laboratories (2011).
- 2
Ayachit, U., Bauer, A., Geveci, B., O’Leary, P., Moreland, K., Fabian, N., and Mauldin, J., ParaView Catalyst: Enabling In Situ Data Analysis and Visualization, Proceedings of the First Workshop on In Situ Infrastructures for Enabling Extreme-Scale Analysis and Visualization (ISAV2015), pp. 25-29, ACM, New York, NY (2015).


Creates a
Gluon Mobile
based Java application, with multiple views designed with FXML, targeted for Android, iOS, desktop and embedded devices. The project uses the
Gluon Client plugin
to create native images for the aforementioned platforms.


-webkit-animation-duration
Specifies the length of time that an animation takes to complete one iteration.
-webkit-animation-duration: <time> [, ...];
The duration of an animation. If 0
, the animation iteration is immediate (there is no animation). A negative value is treated as 0
.
| 0 (by default) | The default value is 0 . |


Publications
In progress / under review
- [Translation] Shinya Uryu, Narumasa Tsutsumida, Takahiro Yoshida.
- Takahiro Yoshida, Daisuke Murakami, Hajime Seya
Location powered quotient: A compositional data analysis-based approach.
- Hajime Seya, Takahiro Yoshida
Propensity score matching for multiple treatment levels: A CODA-based contribution.
arXiv: 1710.08558 [LINK]
- Takahiro Yoshida, Daisuke Murakami, Hajime Seya, Morito Tsutsumi
A Monte Carlo study: Spatial multinomial discrete choice models.
- Takahiro Yoshida, Daisuke Murakami, Hajime Seya, Morito Tsutsumi
Spatial seemingly unrelated regression models combined with compositional data analysis approach.
- Takahiro Yoshida, Masato Tomonari, Hajime Seya, Morito Tsutsumi
On the relationships between amount of zero responses and goodness-of-fits of compositional models.
- Takahiro Yoshida, Morito Tsutsumi, Hozana Ishii
Identification of regional difference of election voting trends: Functional compositional data clustering approach.
- + five papers are under review.
Refereed journal papers
- Chaomin Chen, Hasi Bagan, Takahiro Yoshida (2023)
Multi-scale mapping of local climate zones in Tokyo using airborne LiDAR data, GIS vectors, and Sentinel-2 imagery.
GIScience & Remote Sensing, 60 (1), 2209970.
DOI: 10.1080/15481603.2023.2209970 [LINK]
- Daisuke Murakami, Narumasa Tsutsumida, Takahiro Yoshida, Tomoki Nakaya, Binbin Lu, Paul Harris (2023)
A linearization for stable and faster geographically weighted Poisson regression.
International Journal of Geographical Information Science, in press.
DOI: 10.1080/13658816.2023.2209811 [LINK]
- Thiti Jittayasotorn, Muthiah Sadidah, Takahiro Yoshida, Takuro Kobashi (2023)
On the adoption of rooftop photovoltaics integrated with electric vehicles toward sustainable Bangkok City, Thailand.
Energies, 16 (7), 3011.
DOI: 10.3390/en16073011 [LINK]
- Junya Yamasaki, Wenchao Wu, Takahiro Yoshida, Ryoichi Nitanai, Rikutaro Manabe, Akito Murayama (2023)
Environmental impact assessment for future changes in land use composition under SSP scenarios in Japan: Assessment and issues based on the LCIA method LIME3.
Environmental Science, 36 (4), 135–144. [in Japanese]
DOI: 10.11353/sesj.36.135 [LINK]
- Xinyan Hou, Xuan Xie, Hasi Bagan, Chaomin Chen, Qinxue Wang,
Takahiro Yoshida (2023)
Exploring spatiotemporal variations in land surface temperature based on local climate zones in Shanghai from 2008 to 2020.
Remote Sensing, 15 (12), 3106.
DOI: 10.3390/rs15123106 [LINK]
- Takahiro Yoshida, Daisuke Murakami, Hajime Seya (2022)
Spatial prediction of apartment rent using regression-based and machine learning-based approaches with a large dataset.
Journal of Real Estate Finance and Economics, in press.
DOI: 10.1007/s11146-022-09929-6 [LINK]
- Chaomin Chen, Hasi Bagan, Takahiro Yoshida, Habura Borjigin, Jun Gao (2022)
Quantitative analysis of the building-level relationship between building form and land surface temperature using airborne LiDAR and thermal infrared data.
Urban Climate, 45, 101248.
DOI: 10.1016/j.uclim.2022.101248 [LINK]
- Joseph Emile Honour Percival, Narumasa Tsutsumida, Daisuke Murakami, Takahiro Yoshida, Tomoki Nakaya (2022)
Exploratory spatial data analysis with gwpcorMapper: An interactive mapping tool for geographically weighted correlation and partial correlation.
Journal of Geovisualization and Spatial Analysis, 6, 17.
DOI: 10.1007/s41651-022-00111-3 [LINK]
- Junya Yamasaki, Masahiro Masubuchi, Yasutaka Wakazuki, Satoru Iizuka, Takahiro Yoshida, Ryoichi Nitanai, Rikutaro Manabe, Akito Murayama (2022)
Thermal environment simulation for future images based on SSP/RCP in urban center neighborhood under climate change: focusing on the Nishiki 2 district, Nagoya city.
Journal of the City Planning Institute of Japan, 57 (3), 949–956. [in Japanese]
DOI: 10.11361/journalcpij.57.949 [LINK]
- Tomoki Hosaka, Junya Yamasaki, Takahiro Yoshida, Ryoichi Nitanai, Rikutaro Manabe, Akito Murayama (2022)
Framework of climate change adaptation measures of urban planning-related sectors in UK and French municipalities: From the analysis of measures in 8 advanced Climate Change Action Plans.
Journal of the City Planning Institute of Japan, 57 (1), 138–150. [in Japanese]
DOI: 10.11361/journalcpij.57.138 [LINK]
- Junya Yamasaki, Masahiro Masubuchi, Satoru Iizuka, Takahiro Yoshida, Ryoichi Nitanai, Rikutaro Manabe, Akito Murayama (2022)
Thermal environment simulation for urban center neighborhood by Using 3D city model of Project PLATEAU: Toward heat adaptation in community planning.
Papers on Environmental Information Science, 36, 238–243. [in Japanese]
DOI: 10.11492/ceispapers.ceis36.0_238 [LINK]
- Daisuke Murakami, Takahiro Yoshida, Yoshiki Yamagata (2021)
Gridded GDP projections compatible with the five SSPs (shared socioeconomic pathways).
Frontiers in Built Environment, 7, 760306.
DOI: 10.3389/fbuil.2021.760306 [LINK] [DATA]
[SUPPORT SITE]
- Soshiro Ogata, Misa Takegami, Taira Ozaki, Takahiro Nakashima, Daisuke Onozuka, Shunsuke Murata, Yuriko Nakaoku, Koyu Suzuki, Akihito Hagihara, Teruo Noguchi, Koji Iihara, Keiichi Kitazume, Tohru Morioka, Shin Yamazaki, Takahiro Yoshida, Yoshiki Yamagata, Kunihiro Nishimura (2021)
Heatstroke predictions by machine learning, weather information, and an all-population registry for 12-hour heatstroke alerts.
Nature Communications, 12, 4575.
DOI: 10.1038/s41467-021-24823-0 [LINK]
- Meng Cai, Yuan Shi, Chao Ren, Takahiro Yoshida, Yoshiki Yamagata, Chao Ding, Nan Zhou (2021)
The need for urban form data in spatial modeling of urban carbon emissions in China: A critical review.
Journal of Cleaner Production, 319, 128792.
DOI: 10.1016/j.jclepro.2021.128792 [LINK]
- Yasuo Takahashi, Hiroyuki Kubota, Sawako Shigeto, Takahiro Yoshida, Yoshiki Yamagata (2021)
Diverse values of urban-to-rural migration: A case study of Hokuto City, Japan.
Journal of Rural Studies, 87, 292–299.
DOI: 10.1016/j.jrurstud.2021.09.013 [LINK]
- Mai Fukaya, Junya Yamasaki, Ryoichi Nitanai, Rikutaro Manabe, Takahiro Yoshida, Akito Murayama (2021)
Long-term environmental changes in condominium complex and its surrounding neighborhoods: Towards the development of neighborhood sustainability assessment framework.
Journal of the City Planning Institute of Japan, 56 (3), 905–912. [in Japanese]
DOI: 10.11361/journalcpij.56.905 [LINK]
- Narumasa Tsutsumida, Takahiro Yoshida, Daisuke Murakami, Tomoki Nakaya (2021)
A review on geographically weighted methods and their future directions.
Theory and Applications of GIS, 29 (1), 11–21. [in Japanese]
DOI: 10.5638/thagis.29.11 [LINK]
- Takuro Kobashi, Peraphan Jittrapirom, Takahiro Yoshida, Yujiro Hirano, Yoshiki Yamagata (2021)
SolarEV City concept: Building the next urban power and mobility systems.
Environmental Research Letters, 16 (2), 024042.
DOI: 10.1088/1748-9326/abd430 [LINK]
- Anna Ebata, Takahiro Yoshida, Kazuki Tamesue, Hajime Seya, Morito Tsutsumi (2021)
Exploratory spatial data analysis of Furusato Nozei: A tax donation program in Japan.
Theory and Applications of GIS, 29 (1), 1–10. [in Japanese]
DOI: 10.5638/thagis.29.1 [LINK]
- Daisuke Murakami, Narumasa Tsutsumida, Takahiro Yoshida, Tomoki Nakaya, Binbin Lu (2021)
Scalable GWR: A Linear-time algorithm for large-scale geographically weighted regression with polynomial kernels.
Annals of the American Association of Geographers, 111 (2), 459–480.
DOI: 10.1080/24694452.2020.1774350 [LINK]
- Soowon Chang, Takahiro Yoshida, Daniel Castro-Lacouture, Yoshiki Yamagata (2021)
Block-level building transformation strategies for energy efficiency, thermal comfort and visibility using Bayesian multilevel modeling.
Journal of Architectural Engineering, 27 (3), 05021008.
DOI: 10.1061/(ASCE)AE.1943-5568.0000491 [LINK]
- Yoshiki Yamagata, Takahiro Yoshida (2020)
A “Smart Lifestyle” for the re-design of the “After Corona” urban forms.
Environment and Planning B: Urban Analytics and City Science, 47 (7), 1146–1148.
DOI: 10.1177/2399808320950043 [LINK]
- Takuro Kobashi, Takahiro Yoshida, Yoshiki Yamagata, Katsuhiko Naito, Stefan Pfenninger, Kelvin Say, Yasuhiro Takeda, Amanda Ahl, Masaru Yarime, Keishiro Hara (2020)
On the potential of “Photovoltaics + Electric Vehicles” for deep decarbonization of Kyoto’s power systems: Techno-economic-social considerations.
Applied Energy, 275, 115419.
DOI: 10.1016/j.apenergy.2020.115419 [LINK]
- Takuro Kobashi, Kelvin Say, Jiayang Wang, Masaru Yarime, Dong Wang, Takahiro Yoshida, Yoshiki Yamagata (2020)
Techno-economic assessment of photovoltaics plus electric vehicles towards household-sector decarbonization in Kyoto and Shenzhen by the year 2030.
Journal of Cleaner Production, 253, 119933.
DOI: 10.1016/j.jclepro.2019.119933 [LINK]
- Takahiro Yoshida, Rim Er-rbib, Morito Tsutsumi (2019)
Which country epitomizes the world? A study from the perspective of demographic composition.
Sustainability, 11 (22), 6404.
DOI: 10.3390/su11226404 [LINK]
- Michael B. Tobey, Robert B. Binder, Soowon Chang, Takahiro Yoshida, Yoshiki Yamagata, Perry P. J. Yang (2019)
Urban systems design: A conceptual framework for planning smart communities.
Smart Cities, 2 (4), 522–537.
DOI: 10.3390/smartcities2040032 [LINK]
- Michael B. Tobey, Robert B. Binder, Takahiro Yoshida, Yoshiki Yamagata (2019)
Urban systems design case study: Tokyo’s Sumida ward.
Smart Cities, 2 (4), 453–470.
DOI: 10.3390/smartcities2040028 [LINK]
- Yoshiki Yamagata, Takahiro Yoshida, Daisuke Murakami, Tomoko Matsui, Yuki Akiyama (2018)
Seasonal urban carbon emission estimation using spatial micro big data.
Sustainability, 10 (12), 4472.
DOI: 10.3390/su10124472 [LINK]
- Takahiro Yoshida, Morito Tsutsumi (2018)
On the effects of spatial relationships in spatial compositional multivariate models.
Letters in Spatial and Resource Sciences, 11 (1), 57–70.
DOI: 10.1007/s12076-017-0199-5 [LINK]
- Takahiro Yoshida, Morito Tsutsumi (2017)
The epitome of the future Japan from the perspective of demographic composition: Application of compositional data analysis to population studies.
Theory and Applications of GIS, 25 (2), 79–89. [in Japanese]
DOI: 10.5638/thagis.25.79 [LINK]
- Daisuke Murakami, Takahiro Yoshida, Hajime Seya, Daniel A. Griffith, Yoshiki Yamagata (2017)
A Moran coefficient-based mixed effects approach to investigate spatially varying relationships.
Spatial Statistics, 19, 68–89.
DOI: 10.1016/j.spasta.2016.12.001 [LINK]
- Hajime Seya, Takahiro Yoshida, Morito Tsutsumi (2016)
Ex-post identification of geographical extent of benefited area by a transportation project: Functional data analysis method.
Journal of Transport Geography, 55, 1–10.
DOI: 10.1016/j.jtrangeo.2016.07.004 [LINK]
- Yoshiki Yamagata, Daisuke Murakami, Takahiro Yoshida, Hajime Seya, Sho Kuroda (2016)
Value of urban views in a bay city: Hedonic analysis with the spatial multilevel additive regression (SMAR) model.
Landscape and Urban Planning, 151, 89–102.
DOI: 10.1016/j.landurbplan.2016.02.008 [LINK]
Refereed proceedings papers
- Xi Chen, Hasi Bagan, Takahiro Yoshida (2023)
Analysis of spatial variation factors of urban surface temperature combining remote sensing, GIS and population data in Tokyo.
Proceedings of the 2023 IEEE Geoscience and Remote Sensing Society Symposium, accepted.
DOI: in press [LINK]
- This paper will be presented at the 43th annual conference of the IEEE Geoscience and Remote Sensing Society (IGARSS2023), Pasadena, CA, USA, July 16–21, 2023).
- Narumasa Tsutsumida, Daisuke Murakami, Takahiro Yoshida, Tomoki Nakaya, Binbin Lu, Paul Harris, Alexis Comber (2022)
A comparison of geographically weighted principal components analysis methodologies.
Proceedings of the 15th International Conference on Spatial Information Theory, 21:1–21:6.
DOI: 10.4230/LIPIcs.COSIT.2022.21 [LINK]
- This paper was presented at the 15th International Conference on Spatial Information Theory (COSIT2022), Kobe, Japan, September 5–9, 2022.
- Daisuke Murakami, Narumasa Tsutsumida, Takahiro Yoshida, Tomoki Nakaya (2022)
Large-scale spatial prediction by scalable geographically weighted regression: Comparative study.
Proceedings of the 15th International Conference on Spatial Information Theory, 12:1–12:5.
DOI: 10.4230/LIPIcs.COSIT.2022.12 [LINK]
- This paper was presented at the 15th International Conference on Spatial Information Theory (COSIT2022), Kobe, Japan, September 5–9, 2022.
- Perry Pei-Ju Yang, Takahiro Yoshida, Akito Murayama, Soowon Chang, Yoshiki Yamagata (2021)
Green recovery planning from COVID for a low energy urban district using urban digital platform: A case study of Tokyo Shinagawa.
Energy Proceedings, 22, 870.
DOI: 10.46855/energy-proceedings-9395 [Link]
- This paper was presented at the 13th International Conference on Applied Energy (ICAE2021), Online and Bangkok, Thailand, November 29 – December 5, 2021.
- Takahiro Yoshida, Daisuke Murakami, Hajime Seya, Narumasa Tsutsumida, Tomoki Nakaya (2021)
Geographically weighted regression for compositional data: An application to the U.S. household income compositions.
Proceedings of the 11th International Conference on Geographic Information Science, paper 55.
DOI: 10.25436/E2G599 [LINK]
- This paper was presented at the 11th International Conference on Geographic Information Science (GIScience2021), Online, September 27–30, 2021 (Originally planned: Poznan, Poland, September 15–18, 2020).
- Daisuke Murakami, Narumasa Tsutsumida, Takahiro Yoshida, Tomoki Nakaya, Binbin Lu, Paul Harris (2021)
Stable geographically weighted Poisson regression for count data.
Proceedings of the 11th International Conference on Geographic Information Science, paper 47.
DOI: 10.25436/E2X59B [LINK]
- This paper was presented at the 11th International Conference on Geographic Information Science (GIScience2021), Online, September 27–30, 2021 (Originally planned: Poznan, Poland, September 15–18, 2020).
- Takahiro Yoshida, Yoshiki Yamagata (2020)
Change of CO2 emissions in Tokyo under the COVID-19 situation: Urban carbon mapping approach.
Energy Proceedings, 9, 0579.
DOI: 10.46855/energy-proceedings-7117 [Link]
- This paper was presented at the 12th International Conference on Applied Energy (ICAE2020), Online, December 1–10, 2020 (Originally planned: Bangkok, Thailand, November 29 – December 2, 2020).
- Yoshiki Yamagata, Takahiro Yoshida (2020)
Urban carbon mapping of roads under the COVID-19 situation: The case of Tokyo 23 wards.
Energy Proceedings, 9, 0580.
DOI: 10.46855/energy-proceedings-7116 [Link]
- This paper was presented at the 12th International Conference on Applied Energy (ICAE2020), Online, December 1–10, 2020 (Originally planned: Bangkok, Thailand, November 29 – December 2, 2020).
- Narumasa Tsutsumida, Takahiro Yoshida, Daisuke Murakami, Tomoki Nakaya (2020)
A Geographically weighted total composite error analysis for soft classification.
Proceedings of the 2020 IEEE Geoscience and Remote Sensing Society Symposium, 874–876.
DOI: 10.1109/IGARSS39084.2020.9323939 [LINK]
- This paper was presented at the 40th annual conference of the IEEE Geoscience and Remote Sensing Society (IGARSS2020), Online, September 26 – October 2, 2020 (Originally planned: Hawaii, USA, July 19–24, 2020).
- Soowon Chang, Takahiro Yoshida, Robert Binder, Yoshiki Yamagata, Daniel Castro-Lacouture (2020)
Energy sharing boundaries integrating buildings and vehicles tangled in spatial and temporal changes.
Proceedings of the ASCE Construction Research Congress 2020, 434–443.
DOI: 10.1061/9780784482858.048 [LINK]
- This paper was presented at the ASCE Construction Research Congress 2020 (ASCE CRC2020), Tempe, Arizona, USA, March 8–10, 2020.
- Takahiro Yoshida, Yoshiki Yamagata, Daisuke Murakami (2019)
Spatially detail urban carbon mapping: Integration of top-down and bottom-up approaches.
Proceedings of the 15th International Conference on Geocomputation, 7.3.
DOI: 10.17608/k6.auckland.9848738.v1 [LINK]
- This paper was presented at the 15th International Conference on Geocomputation (Geocomputation2019), Queenstown, New Zealand, September 18–21, 2019.
- Yoshiki Yamagata, Takahiro Yoshida, Haruna Matsui, Perry Yang, Chen Helen (2019)
Experiential modelling of urban street: a combining approach with neural image assessment and street experiment.
Proceedings of the 15th International Conference on Geocomputation, 8.6.
DOI: 10.17608/k6.auckland.9848270.v1 [LINK]
- This paper was presented at the 15th International Conference on Geocomputation (Geocomputation2019), Queenstown, New Zealand, September 18–21, 2019.
- Daisuke Murakami, Narumasa Tsutsumida, Takahiro Yoshida, Tomoki Nakaya, Binbin Lu (2019)
Scalable geographically weighted regression for big data.
Proceedings of the 15th International Conference on Geocomputation, 6.4.
DOI: 10.17608/k6.auckland.9850898.v1 [LINK]
- This paper was presented at the 15th International Conference on Geocomputation (Geocomputation2019), Queenstown, New Zealand, September 18–21, 2019.
- Narumasa Tsutsumida, Daisuke Murakami, Takahiro Yoshida, Tomoki Nakaya, Binbin Lu, Paul Harris (2019)
Geographically Weighted Non-negative Principal Component Analysis for Exploring Spatial Variation in Multidimensional Composite Index.
Proceedings of the 15th International Conference on Geocomputation, 6.5.
DOI: 10.17608/k6.auckland.9850826.v1 [LINK]
- This paper was presented at the 15th International Conference on Geocomputation (Geocomputation2019), Queenstown, New Zealand, September 18–21, 2019.
- Soowon Chang, Takahiro Yoshida, Michael Tobey, Yoshiki Yamagata, Perry Yang (2019)
Trandformative model of urban buildings optimizing energy demands, solar harvesting potential, and indoor thermal comfort.
Energy Proceedings, 5, 0355.
DOI: 10.46855/energy-proceedings-4271 [Link]
- This paper was presented at the 11th International Conference on Applied Energy (ICAE2019), Vasteras, Sweden, August 12–15, 2019.
- Takahiro Yoshida, Soowon Chang, Daisuke Murakami, Yoshiki Yamagata (2019)
The relationships between energy consumption and surface temperature: A combining multiple-scale observations approach.
Energy Proceedings, 3, 0940.
DOI: 10.46855/energy-proceedings-1809 [Link]
- This paper was presented at the 11th International Conference on Applied Energy (ICAE2019), Vasteras, Sweden, August 12–15, 2019.
- Takuro Kobashi, Takahiro Yoshida, Katsuhiko Naito, Stefan Pfenninger, Yoshiki Yamagata (2019)
Cost-optimal pathways to decarbonize urban energy systems with PV, batteries, and electric vehicles: A case study for Kyoto, Japan.
Energy Proceedings, 3, 0107.
DOI: 10.46855/energy-proceedings-1795 [Link]
- This paper was presented at the 11th International Conference on Applied Energy (ICAE2019), Vasteras, Sweden, August 12–15, 2019.
- Michael Tobey, Soowon Chang, Takahiro Yoshida, Robert Binder, Yoshiki Yamagata (2019)
Measuring resiliencce, economy, sustainability, and human well-being in multiple scales for urban diagnostics.
Energy Proceedings, 2, 0904.
DOI: 10.46855/energy-proceedings-1416 [Link]
- This paper was presented at the 11th International Conference on Applied Energy (ICAE2019), Vasteras, Sweden, August 12–15, 2019.
- Yoshiki Yamagata, Daisuke Murakami, Takahiro Yoshida (2019)
Spatiotemporal heatwave risk evaluation: Considering hazard, exposure, and vulnerability.
Proceedings of the 2019 IEEE Geoscience and Remote Sensing Society Symposium, 5524–5527.
DOI: 10.1109/IGARSS.2019.8898442 [LINK]
- This paper was presented at the 39th annual conference of the IEEE Geoscience and Remote Sensing Society (IGARSS2019), Yokohama, Japan, July 28–August 2, 2019.
- Daisuke Murakami, Yoshiki Yamagata, Takahiro Yoshida, Tomoko Matsui (2019)
Spatiotemporal heatwave risk modeling combining multiple observations.
Proceedings of the 2019 IEEE Geoscience and Remote Sensing Society Symposium, 5516–5519.
DOI: 10.1109/IGARSS.2019.8898761 [LINK]
- This paper was presented at the 39th annual conference of the IEEE Geoscience and Remote Sensing Society (IGARSS2019), Yokohama, Japan, July 28–August 2, 2019.
- Daisuke Murakami, Tomoko Matsui, Takahiro Yoshida, Yoshiki Yamagata (2019)
A GPS-based simple evaluation simulation approach: Case study in Joso, Japan.
Proceedings of the 2019 IEEE Geoscience and Remote Sensing Society Symposium, 5636–5637.
DOI: 10.1109/IGARSS.2019.8898041 [LINK]
- This paper was presented at the 39th annual conference of the IEEE Geoscience and Remote Sensing Society (IGARSS2019), Yokohama, Japan, July 28–August 2, 2019.
- Takahiro Yoshida, Kei Hiroi, Yoshiki Yamagata, Daisuke Murakami (2019)
Verification on evaluation of flood disaster by using GPS: Case study in Mabi, Japan 2018.
Proceedings of the 2019 IEEE Geoscience and Remote Sensing Society Symposium, 5633–5635.
DOI: 10.1109/IGARSS.2019.8898574 [LINK]
- This paper was presented at the 39th annual conference of the IEEE Geoscience and Remote Sensing Society (IGARSS2019), Yokohama, Japan, July 28–August 2, 2019.
- Takahiro Yoshida, Yoshiki Yamagata, Daisuke Murakami (2019)
Individual level heat risk evaluation using GPS towards smart navigation system.
Proceedings of the International Cartographic Association, 2, 152.
DOI: 10.5194/ica-proc-2-152-2019 [LINK]
- This paper was presented at the 29th International Cartographic Conference (ICC2019), Tokyo, Japan, July 15–20, 2019.
- Narumasa Tsutsumida, Joseph Percival, Daisuke Murakami, Takahiro Yoshida, Tomoki Nakaya (2019)
Interactive mapping for geographically weighted correlation in big census data.
Abstracts of the International Cartographic Association, 1, 372.
DOI: 10.5194/ica-abs-1-372-2019 [LINK]
- This paper was presented at the 29th International Cartographic Conference (ICC2019), Tokyo, Japan, July 15–20, 2019.
- Takahiro Yoshida, Michael Tobey, Soowon Chang, Yoshiki Yamagata (2019)
Carbon emission intensities of each building typology: Towards a standardized framework.
Proceedings of the 16th International Conference on Computers in Urban Planning and Urban Management (July 8–12, 2019; Wuhan, China), 799185.
- This paper was presented at the 16th International Conference on Computers in Urban Planning and Urban Management (CUPUM2019), Wuhan, China, July 8–12, 2019.
- Michael Tobey, Robert Binder, Takahiro Yoshida, Yoshiki Yamagata (2019)
Urban systems design applicability case study: Applying urban systems design framework to North Sumida Ward Tokyo.
Proceedings of the 16th International Conference on Computers in Urban Planning and Urban Management (July 8–12, 2019; Wuhan, China), 798881.
- This paper was presented at the 16th International Conference on Computers in Urban Planning and Urban Management (CUPUM2019), Wuhan, China, July 8–12, 2019.
- Michael Tobey, Robert Binder, Soowon Chang, Takahiro Yoshida, Yoshiki Yamagata, Perry Yang (2019)
Urban systems design conceptual framework: Modeling, design, and emergent iterative smart communities.
Proceedings of the 16th International Conference on Computers in Urban Planning and Urban Management (July 8–12, 2019; Wuhan, China), 798833.
- This paper was presented at the 16th International Conference on Computers in Urban Planning and Urban Management (CUPUM2019), Wuhan, China, July 8–12, 2019.
- Takahiro Yoshida, Yoshiki Yamagata, Anna Ebata, Daisuke Murakami, Kanae Matsui (2019)
Estimating quasi-real-time building energy demand using occupancy information: A case study in Sumida, Tokyo.
Proceedings of the CIB World Building Congress 2019 (June 17–21, 2019; Hong Kong, China), 130–136.
Available at: [LINK]
- This paper was presented at International Council for Research and Innovation in Building and Construction World Building Congress (CIBWBC2019), Hong Kong, China, June 17–21, 2019.
- Soowon Chang, Takahiro Yoshida, Kanae Matsui, Daniel Castro-Lacouture, Yoshiki Yamagata (2019)
A sustainability provision system of energy demands and indoor thermal comfort by integrating building energy models with IoT: Focusing on residential building in Kyojima, Tokyo.
Proceedings of the CIB World Building Congress 2019 (June 17–21, 2019; Hong Kong, China), 137–146.
Available at: [LINK]
- This paper was presented at International Council for Research and Innovation in Building and Construction World Building Congress (CIBWBC2019), Hong Kong, China, June 17–21, 2019.
- Yoshiki Yamagata, Takahiro Yoshida, Daisuke Murakami (2019)
Modeling uncertainty in electricity resilient community clustering: a spatial BigData approach.
Proceedings of the CIB World Building Congress 2019 (June 17–21, 2019; Hong Kong, China), 123–129.
Available at: [LINK]
- This paper was presented at International Council for Research and Innovation in Building and Construction World Building Congress (CIBWBC2019), Hong Kong, China, June 17–21, 2019.
- Kei Hiroi, Takahiro Yoshida, Yoshiki Yamagata, Nobuo Kawaguchi (2019)
Flood area estimation using personal location data: Case study of Japan floods in 2018.
Proceedings of the 2019 IEEE International Conference on Pervasive Computing and Communications, 285–291.
DOI: 10.1109/percomw.2019.8730882 [LINK]
- This paper was presented at the 4th IEEE International Workshop on Pervasive Context-Aware Smart Cities and Intelligent Transport Systems (PerAwareCity2019) in conjunction with the 17th IEEE Pervasive Computing and Communications (PerCom2019), Kyoto, Japan, March 11–15, 2019.
- Takahiro Yoshida, Yoshiki Yamagata, Daisuke Murakami (2019)
Energy demand estimation using quasi-real-time people activity data.
Energy Procedia, 158, 4172–4177.
DOI: 10.1016/j.egypro.2019.01.813 [LINK]
- This paper was presented at the 10th International Conference on Applied Energy (ICAE2018), Hong Kong, China, August 22–25, 2018.
- Daisuke Murakami, Yoshiki Yamagata, Takahiro Yoshida, Tomoko Matsui (2019)
Optimization of local microgrid model for energy sharing considering daily variations in supply and demand.
Energy Procedia, 158, 4109–4114.
DOI: 10.1016/j.egypro.2019.01.823 [LINK]
- This paper was presented at the 10th International Conference on Applied Energy (ICAE2018), Hong Kong, China, August 22–25, 2018.
- Yoshiki Yamagata, Daisuke Murakami, Yihan Wu, Perry Pei-Ju Yang, Takahiro Yoshida, Robert Binder (2019)
Big-data analysis for carbon emission reduction from cars: Towards walkable green smart community.
Energy Procedia, 158, 4292–4297.
DOI: 10.1016/j.egypro.2019.01.795 [LINK]
- This paper was presented at the 10th International Conference on Applied Energy (ICAE2018), Hong Kong, China, August 22–25, 2018.
- Takahiro Yoshida, Yoshiki Yamagata, Daisuke Murakami (2018)
Dynamic carbon mapping with micro-urban simulations towards urban system design of near zero.
Proceedings of the 2018 Council of Engineering Systems Universities (June 20–22, 2018; Tokyo, Japan), SU2-1.
- This paper was presented at the Council of Engineering Systems Universities 2018 Global Conference (CESUN2018), Tokyo, Japan, June 20–22, 2018.
- Ayyoob Sharifi, Yihan Wu, Dararat Khamchiangta, Takahiro Yoshida, Yoshiki Yamagata (2018)
Urban carbon mapping: Towards a standardized framework.
Energy Procedia, 152, 799–808.
DOI: 10.1016/j.egypro.2018.09.193 [LINK]
- This paper was presented at the Applied Energy Symposium and Forum: Low carbon cities and urban energy systems (CUE2018), Shanghai, China, June 5–7, 2018.
- Yoshiki Yamagata, Daisuke Murakami, Takahiro Yoshida (2017)
Dynamic urban carbon mapping with spatial big data.
Energy Procedia, 142, 2461–2466.
DOI: 10.1016/j.egypro.2017.12.183 [LINK]
- This paper was presented at the 9th International Conference on Applied Energy (ICAE2017), Cardiff, UK, August 21–24, 2017.
- Takahiro Yoshida, Morito Tsutsumi (2015)
Regression model for compositional data using a spatial econometric approach.
Proceedings of the 6th International Workshop on Compositional Data Analysis, 305–310.
- This paper was presented at the 6th International Workshop on Compositional Data Analysis (CoDaWork2015), Girona, Spain, June 1–5, 2015.
Book chapters
- Yoshiki Yamagata, Takahiro Yoshida (2021)
Urban carbon mapping: Spatio-temporal detail visualization for CO2 emissions.
In Takuro Kobashi (ed.)
Urban Decarbonization, 65–72, TAIGA Publishing.
[in Japanese] [LINK]
- Kazuto Sumita, Motoi Okamoto, Masamune Iwasawa, Yanchun Jin, Yoichi Mizumura, Takahiro Yoshida (2020)
Introduction to Economic Data Analysis with Excel and R, Ohmsha.
[in Japanese] [LINK]
- Yoshiki Yamagata, Takahiro Yoshida (2020)
Kyojima smart community studio: Urban systems design.
In Thomas Fisher, Brian Orland, Carl Steinitz (eds.)
The International Geodesign Collaboration: Changing Geography by Design, 132–133, Esri Press.
[LINK]
- Yoshiki Yamagata, Takahiro Yoshida, Perry P. J. Yang, Helen Chen, Daisuke Murakami, Leena Ilmola (2020)
Measuring quality of walkable urban environment through experiential modeling.
In Yoshiki Yamagata, Perry P. J. Yang (eds.)
Urban Systems Design: Creating Sustainable Smart Cities in the Internet of Things Era, 373–392, Elsevier.
DOI: 10.1016/B978-0-12-816055-8.00012-9 [LINK]
- Takuro Kobashi, Yoshiki Yamagata, Takahiro Yoshida, Soowon Chang, Yasunori Mochizuki, Amanda Ahl, Jelena Aleksejeva (2020)
Smart city and ICT infrastructure with vehicle to X applications toward urban decarbonization.
In Yoshiki Yamagata, Perry P. J. Yang (eds.)
Urban Systems Design: Creating Sustainable Smart Cities in the Internet of Things Era, 289–333, Elsevier.
DOI: 10.1016/B978-0-12-816055-8.00009-9 [LINK]
- Yoshiki Yamagata, Takahiro Yoshida, Soowon Chang, Peraphan Jittrapirom, Sylvia Coleman, John Robinson, Roger Cremades, Dirk Neumann (2020)
Case studies towards smart communities.
In Yoshiki Yamagata, Perry P. J. Yang (eds.)
Urban Systems Design: Creating Sustainable Smart Cities in the Internet of Things Era, 257–288, Elsevier.
DOI: 10.1016/B978-0-12-816055-8.00008-7 [LINK]
- Takahiro Yoshida, Yoshiki Yamagata, Soowon Chang, Vincent de Gooyert, Hajime Seya, Daisuke Murakami, Peraphan Jittrapirom, Gerasimos Voulgaris (2020)
Spatial modelling and design of smart communities.
In Yoshiki Yamagata, Perry P. J. Yang (eds.)
Urban Systems Design: Creating Sustainable Smart Cities in the Internet of Things Era, 199–255, Elsevier.
DOI: 10.1016/B978-0-12-816055-8.00007-5 [LINK]
- Yoshiki Yamagata, Perry P. J. Yang, Soowon Chang, Michael B. Tobey, Robert B. Binder, Pieter J. Fourie, Peraphan Jittrapirom, Takuro Kobashi, Takahiro Yoshida, Jelena Aleksejeva (2020)
Urban systems and the role of big data.
In Yoshiki Yamagata, Perry P. J. Yang (eds.)
Urban Systems Design: Creating Sustainable Smart Cities in the Internet of Things Era, 23–58, Elsevier.
DOI: 10.1016/B978-0-12-816055-8.00002-6 [LINK]
- Yoshiki Yamagata, Takahiro Yoshida (2019)
Tokyo smart city studio: An urban systems design approach.
In Sean Nicklin, Ben Cornwell, Leigh Trowbridge (eds.)
A Better World: Sustainable Cities and Communities, 5, 32–35, Tudor Rose.
[LINK]
- Takahiro Yoshida, Yoshiki Yamagata (2019)
Quasi real time energy use estimation using Google’s popular time data.
In Yoshiki Yamagata, Hajime Seya (eds.)
Spatial Analysis Using Big Data: Methods and Urban Applications, 271–280, Academic Press.
DOI: 10.1016/B978-0-12-813127-5.00011-4 [LINK]
- Yoshiki Yamagata, Daisuke Murakami, Takahiro Yoshida (2019)
Evaluating walkability using mobile GPS data.
In Yoshiki Yamagata, Hajime Seya (eds.)
Spatial Analysis Using Big Data: Methods and Urban Applications, 239–257, Academic Press.
DOI: 10.1016/B978-0-12-813127-5.00009-6 [LINK]
- Takahiro Yoshida, Daisuke Murakami (2019)
Implementation with R language.
In Yoshiki Yamagata, Hajime Seya (eds.)
Spatial Analysis Using Big Data: Methods and Urban Applications, 181–223, Academic Press.
DOI: 10.1016/B978-0-12-813127-5.00007-2 [LINK]
- Hajime Seya, Takahiro Yoshida, Yoshiki Yamagata (2019)
Spatial econometric models.
In Yoshiki Yamagata, Hajime Seya (eds.)
Spatial Analysis Using Big Data: Methods and Urban Applications, 113–158, Academic Press.
DOI: 10.1016/B978-0-12-813127-5.00005-9 [LINK]
- Takahiro Yoshida, Morito Tsutsumi (2017)
Cluster analysis.
In Committee of Infrastructure Planning and Management (eds.)
Handbook of Infrastructure Planning and Management, 118–120, Corona Publishing.
[in Japanese] [LINK]
Book translation
- Giuseppe Arbia (2014)
A Primer for Spatial Econometrics: With Applications in R. Palgrave Macmillan.
Translated by: Morito Tsutsumi (supervision), Takahiro Yoshida, Kazuki Tamesue, Keisuke Takano, Masato Tomonari (2016) ―. Keiso shobo.
[in Japanese] [LINK]


Small robots have limited perception and processing power. This is an inconvenient truth that we have to deal with. With swarm intelligence, however, we can unlock their potential by enabling them to work together.
In this project, central to my PhD research, I set out to develop machine learning algorithms that would enable large teams of robots to collaborate together while verifying that their local choices would ultimately result in achieving the cooperative goal.
Prior to stepping into the machine learning domain, we needed to explore the complexity of swarms and understand the role of the single robot within the grand scheme. Pattern formation by very cognitively limited robots was chosen as a study case for this purpose. How limited were the robots? They were anonymous (no IDs!), without memory, reactive, homogeneous, could not communicate, could not plan ahead, no synchronization between their clocks, and had no global positioning (no GPS!). Essentially, they did not know anything except the current relative position of their closest neighbors and a knowledge of North. How, then, could we make them form patterns together?
Delving into such a restricted problems allowed us to explore what it means to solve a cooperative challenge from the perspective of the individual robot. This ultimately brought to the development of a novel algorithm to enable swarms of robots with limited knowledge and no communication to arrange into a larger pattern, which was then published in the journal Swarm Intelligence.The algorithm followed three simple and bio-inspired rules:
The first two rules allow the swarm to reshuffle freely while never separating in multiple groups or experiencing collisions. The third rule tells robots to remain in "happy" states, should they find themselves in one, else they need to move in search of "happiness". A "happy" state is a local state observations whereby the agent is "happy", and thus does not move. Unbeknownst to the robots (they are too cognitively limited), the global desired pattern is achieved once all robots are "happy". They form the pattern by self-organizing into the correct "puzzle-piece" that forms the "puzzle".
Additionally, the paper introduces a novel verification procedure to check whether the behavior of the robots is such that the swarm, as a whole, can eventually achieve its goal when starting from arbitrary initial conditions.
The novelty of this procedure is that it analyzes the local state and action space of an agent, meaning that we can verify a global property by a local inspection of the behavior of a single robot, rather than looking at the swarm as a whole.
Enough reading - you can see the algorithm in action in the video below!
The theory developed in the above provided us with a reliable method for "clueless" robots to arrange into larger patterns. Here, were were faced with two challenges:
Our latest research provides a novel solution inspired by Google’s famous PageRank algorithm in order to evaluate a behavior without any simulation, but only based on a model of the local interactions that the agent experiences. The PageRank algorithm was developed by the founders of Google back in the late '90s. Its objective was to sort through webpages and find the popular ones. This was done by evaluating how likely it would be for a web surfer to arrive at a webpage when clicking hyperlinks. This algorithm gave Google a competitive advantage.
Just as a web surfer surfs the web, we thought to model the experiences of a robot "navigating" in the swarm. The states that the robot can be in become like websites to visit, and the actions that the robot can take become hyperlinks.
We then aimed for the machine learning algorithm (in this case, an evolutionary optimizer) to maximize the likelihood of robots to end up in "happy" states. This is a computationally efficient approach that requires no simulation. Because it only analyzes the behavior of a single robot, rather than the whole swarm, it allows to develop complex behaviors for larger swarms without the same scalability issues.
In addition to pattern formation, we also showed how to apply this to a consensus task (where the robots need to agree on a common objective) and an aggregation task (where the robots need to gather together). The algorithm was published here.
Link to paper Download data Download optimization code (Matlab) Download simulation code (C++)


Session Logistics
With only 10 minutes between sessions and video recording, it is vital that we do everything possible to avoid technical difficulties.
Present for the camera
- Your online audience is huge. On average, online views are FIVE TIMES that of in-person audience numbers, so please imagine that you are in a recording studio.
- Always use the microphone.
- Always summarize questions from the live audience using your microphone for the online audience.
- Refrain from making comments not fit for distribution, such as how drunk you are from the previous night's party, etc. These comments are not relevant for the online audience and will need to be cut out after the session.
It is better to use provided laptop
With pre-tested display/sound, the provided laptop will minimize video/audio errors. If you have any audio or video clips in your presentation, you MUST set a time to test before your presentation.
Upload your final slides
The slides marked as _FINAL and sent to Vitaliy will be pre-loaded on the provided laptop. Please bring a backup copy of your final slides on a flash drive incase a technical error occured while uploading your slides.
Bringing your own computer?
If you do decide to use your own computer, please bring necessary adapters and plugs, and be sure to arrange a time to test it in the lecture hall before the conference.
Common adapters for Mac products and laptops will be provided, but please bring your own adapters as a backup.
Be ready to present offline
We're working hard to provide reliable internet connection but, as you know, "shit happens" so be ready to make presentation offline.


Portraits:
Weddings:
I had the privilege of photographing the wedding of this lovely couple. The wedding was beautiful, and everyone was so very easy to work with! The wedding was in April in a small town. They had an outdoor wedding with an indoor reception. They did a reveal before the wedding, so I could capture their reactions, and so they could enjoy more time with their guests afterwards.
Senior Pictures:
This was one of my favorite Senior Picture sessions, hands down. Anna was so sweet and easy to work with and did I mention drop dead gorgeous? For this two-hour session, we went to 3 different locations. We both ended up getting a little wet thanks to the rain, but that didn’t stop us, and we made the best of things.
Anna’s personality is portrayed through her photographs, bubbly, cheerful, casual and laid back, and she even did some dance poses for me (something she’s very passionate about).
Even though it was freezing cold outside, we both had a lot of fun for this shoot.  Winter is one of my favorite seasons and I love snow, so this was like a dream come true, and I was able to be in a dream come true with one of my very favorites!


CSS selectors let you select individual HTML elements in an HTML document. This is super useful.
Classes are ridiculously important, since they allow you to select arbitrary boxes in your web pages.
We’ll also be talking about links in this example, so here’s Interneting Is Hard for us to style.
Button Two Go to Button Two


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{% extends "coderedcms/pages/web_page.html" %} {% load wagtailadmin_tags wagtailcore_tags wagtailimages_tags coderedcms_tags %} {% block content_pre_body %} {{ block.super }} {% with self.most_recent_occurrence as nextup %}
When: {{nextup.0}}
{% if self.address %}Where: {{self.address}}
{% endif %}| Start Time | End Time | Actions |
|---|---|---|
| {{date.0}} | {% if date.0 != date.1 %}{{date.1}}{% endif %} | {% include "coderedcms/includes/ical/single_ical_button.html" with event=self start=date.0 end=date.1 %} |


Experience
Estudio Quattrini (Law Firm)
Web application for organizing files (ASP.NET / SQL Server)
May 2012
OSPEDYC / UTEDYC (Medical Insurance)
- Treasury web application (ASP.NET / SQL Server)
- Technical support web application (ASP.NET / SQL Server)
- Bank deposits web application (ASP.NET / SQL Server)
- Legal records web application (ASP.NET / SQL Server)
- Recruitment web application (ASP.NET / SQL Server)
- Settlement web application (ASP.NET / SQL Server)
- Tax audits web application (ASP.NET / SQL Server)
- Local module for tax audits application (VB.NET / SQL Server)
March 2011 - February 2012
OSOCNA (Medical Insurance)
Treasury web application (ASP.NET / SQL Server)
October 2011
CEMAMED (Medical Clinic)
Assembly website: www.cemamed.com.ar.
March 2010
Lopatao
Assembly website: www.kinetica-solutions.com.
July 2007
CA - Chile
Implementation of Unicenter XCOM Data Transport for Santander Bank (Santiago de
Chile).
February 2007
Fahrenheit 451
Assembly web site for the redesign of Clarín Newspaper online. www.clarin.com.
February 2006 – April 2006
Metrogames S.A. (Games Development)
Statistics web application for Data Science Dpt (ASP.NET / MySQL)
November 2010 – March 2011
Instituto de Investigaciones Metabólicas (Medical Clinic)
- Internal requisitions and general stock web application (ASP.NET / SQL Server)
- X-Ray reporting application. (VB.NET / SQL Server)
- Survey of quality application. (VB.NET / SQL Server)
- Patients management application. (VB.NET / SQL Server)
- Inventory and technical support application. (VB.NET / SQL Server)
- Stock and drugs monitoring application. (VB.NET / SQL Server)
April 2006 – November 2010
QLC – United States
Letter of credit management application. (ASP.NET / SQL Server)
December 2006 – August 2007
Acro Information Knowledge www.acro.net.ar
- Bundles monitoring web application (CLIENT: Columbia Bank). (ASP.NET / SQL Server)
- Merchandising management web application. (ASP / SQL Server)
- Intranet for a technical support company (ASP / SQL Server)
- Drug surveillance web application (ASP / SQL Server)
- Tracking business management web application (ASP / SQL Server)
- Intranet and website for a translation company. (ASP / SQL Server)
- Newsletters generator web application (ASP / SQL Server)
- Management site contents web application (ASP / SQL Server)
- www.scop.com.ar
- www.sobretorosyosos.com
- www.lantec.com.ar
- Dynamic management site contents web application (ASP / SQL Server)
- www.tarjetavip.com.ar
- www.lylyk.com.ar
- www.estudio-ofarrell.com.ar
- Intranet and website for a human resources company. (ASP / SQL Server)
- Websites programming and maintenance
- www.rgbentertainment.com
- www.fobdesign.com
- Management application for a law firm (VB / SQL Server)
- Fingerprint application (VB / SQL Server)
- Stock control application (VB / SQL Server)
July 2004 – February 2006


" I've been intrested in coding for a while but never took the jump, until now. I couldnt recommend this course enough. Am now in the job of my dream and so excited about the future."
Tanya Sinclair Ux Engineer
" If you want to lay the best foundation possible, I'd recommend you take the course. The depth the instructor go through is incredible. I now feel so confident about starting up as a Developer. "


[Update: Available] Android TV’s redesigned Play Store rolls out over the ‘next few weeks’
by Ben SchoonAndroid TV started rolling out its new Play Store to users this week in a limited capacity, and we’ve now confirmed with Google a few details about the updated experience including when you’ll get it on your device.
Google confirmed to 9to5Google that the new Play Store will be rolling out to Android TV users over the “next few weeks.” This won’t apply to some older Android TV devices, but the vast majority will get the updated app.
With this redesign Play Store, Google is focusing on making apps more discoverable along with the overall better visual look. The company explains that each app listing will also include an auto-playing video that shows in the background of the Play Store UI to give users a sneak peek as they browse.
Further, Google will make personalized recommendations for new apps. The main home page for the new Google Play Store will advertise apps and games compatible with Android TV with specific themes.
These themes might include the likes of “Start streaming” with various streaming services as pictured above. Other options may include “Movie night starts here” and more. Categories such as Sports, Games, Productivity, and Entertainment will also be expanded. The hope for these changes is to make the Store’s 5,000+ apps and games easier to sort through for users. The current design tends to bury less popular apps.
Google also tells us that the updated Play Store won’t have a section for Play Pass still. The new subscription service does still technically work with Android TV, but it won’t have a dedicated section on the TV as it does on smartphones and tablets.
Update 11/18: As of mid-November, we’re finally seeing the new Play Store rolling out widely on Android TV devices. Our own devices, as well as reports from Reddit, confirm that the update is more widely available at this point. Let us know on Twitter if you’re seeing it too!
More on Android TV:
- Play Store redesign begins rolling out on Android TV [Gallery]
- Nvidia Shield TV ‘Pro’ pops up at Amazon w/ Dolby Vision, new remote, $199 price
- Google touts Android TV’s features alongside new survey results [Infographic]
FTC: We use income earning auto affiliate links. More.


System banners are used for system messaging. They are full-width notices placed in one of two locations:
.is-pinned
.Since system banners are a type of notice, you can use the following notice visual styles in conjunction with .s-banner
:
| Class | Applies to | Description |
|---|---|---|
{{ item.class }} |
{% if item.applies == "N/A" %}{{ item.applies }}{% else %}{{ item.applies }} {% endif %} |
{{ item.description }} |
Hero banners are used for engagement messaging. They are full-width notices placed in one of two locations:
Since hero banners have an engagement goal, more visual styling is added to the heros. This means a number of new, specific classes are available for hero banners:
{% header h3 | Hero Examples %}| Class | Applies to | Description |
|---|---|---|
{{ item.class }} |
{% if item.applies == "N/A" %}
{{ item.applies }}
{% else %}
{% assign class = item.applies | split: " " %}
{% for name in class %}
{{ name }}
{% endfor %}
{% endif %}
|
{{ item.description }} |
| Item | Applied to | Description |
|---|---|---|
{{ item.item }} |
{% if item.applies == "N/A" %}
{{ item.applies }}
{% else %}
{% assign class = item.applies | split: " " %}
{% for name in class %}
{{ name }}
{% endfor %}
{% endif %}
|
{{ item.description }} (Source) |


Here are brief tutorials on basic use of the Orc Eclipse plug-in. They assume you are familiar with the Eclipse integrated development environment. For help with the Eclipse IDE, see the Workbench User Guide.
The tasks with tutorials available are:
To learn about the Orc programming language, see the Orc Language User Guide, and Orc in 15 Minutes and Try Orc on the Orc Web site.
Next Section: Create an Orc project


Very Merry Vancouver
Walking across a breathtaking bridge suspended 230 feet above a river gorge and adorned with a million glittering lights.
Sightseeing in an old-fashioned trolley bus and singing karaoke carols from one unforgettable stop to another.
Strolling through a traditional German Christmas market, sipping on hot chocolate and shopping for that perfect holiday keepsake from one of its 80 jolly merchants.
As if there weren’t enough to draw you to Very Merry Vancouver during this most magical time of the year already.
But now Stay-Vancouver Hotels is enchanting tourists with an online advent calendar that is giving away attraction prizes every single day and the chance to win a grand prize of a luxurious, experience-packed stay in Vancouver that will promise memories for a lifetime.
An evening under the big top of Cirque du Soleil’s latest masterpiece, Luzia. Explore four mystical worlds at the Aurora Winter Festival along with snow tubing, amusement rides in a natural setting and amidst massive light displays. Family passes to Santa’s winter wonderland at the Peak of Grouse Mountain and its awe-inspiring views of the city and the ocean below. A heartwarming cruise, lighting up Vancouver harbour, with carollers inviting you to join in song to celebrate this festive time of year.
And so much more.
More than 20, must-see holiday attractions and events are giving away tickets and gift packages as part of the Very Merry Vancouver promotion—not to mention hotel partners giving away accommodation as well.
VeryMerryVancouver.com is now welcoming online visitors to try and win those daily holiday prizes and encouraging those online visitors to visit Vancouver in person during the holiday season.
Already renowned for its natural beauty, cosmopolitan diversity, unbelievable food and shopping, Vancouver is now also sure to become known for one more thing: a perennial favourite for visitors seeking to enjoy the best of the holiday season with all that Very Merry Vancouver has to offer.


Office Access Control
We present to you an app, capable of analyzing office access data in the past and in real-time.
With this app you will feel in control with what's happening in your workspace.
We present to you an app, capable of analyzing office access data in the past and in real-time.
With this app you will feel in control with what's happening in your workspace.


Efe Ambrose won't make Hibs return as former Celtic star left waiting on new club
Ambrose hasn't played competitively since leaving the club at the start of the year
by Ross Pilcher, https://www.dailyrecord.co.uk/authors/ross-pilcher/Hibs won’t be a making a move to bring defender Efe Ambrose back to the club.
The Nigeria international had been linked with a return to Easter Road, with St Johnstone also interested in the former Celtic man.
But it’s understood that the Hibees have no plans to re-sign Ambrose , who has been without a club since the summer after leaving Derby County.
The 31-year-old departed Leith last January after exercising a clause in his contract that allowed him to leave on a free with six months remaining on his deal.
Ambrose initially joined Hibs on loan from Celtic in February 2016, linking up with his former Parkhead boss Neil Lennon.
Upon the expiry of his Celtic contract that summer, he penned a two-year, permanent deal under Lennon.
A popular figure amongst supporters during his loan spell, Ambrose incurred Lennon’s wrath after failing to report back to training in time for pre-season, having been given an extended break.
The centre back made 86 appearances in green and white, scoring six goals before signing for Derby County on a short-term basis following a successful trial.
Prior to signing on in the East Midlands though, Ambrose was in line for a dramatic deadline day return to Hibs just weeks after leaving, but the capital club pulled the plug on a six-month deal due to wage demands.
The freed him up to join Derby the following month, but he failed to make a single first team appearance for the Rams under Frank Lampard.
They reached the play-off final but missed out on promotion to the English Premier League after a 2-1 defeat to Aston Villa at Wembley, with Ambrose’s former Hibs teammate John McGinn heading the winner.
The news could be of significance to St Johnstone, with manager Tommy Wright admitting he’s keen to add some experience to his back line.


| record | ||||||||
| id {, id } : typeSpec | ||||||||
| { id {, id } : typeSpec } | ||||||||
| end record |
type phoneRecord :
record
name : string ( 20 )
phoneNumber : int
address : string ( 50 )
end record
var oneEntry : phoneRecord
var phoneBook : array 1 .. 100 of phoneRecord
var i : int
oneEntry .name := "Turing, Alan"
phoneBook ( i ) := oneEntry % Assign whole record
Any array contained in a record must have bounds that are known at compile time.
The notation > can be used to access record fields. For example, if p is a pointer to phoneRecord, p>name locates the name field. See pointer.


Henry Lin
- Work:Machine Learning Engineer at Pienso
- Expertise:Conference Speaker at Predictive Analytic World
- Data Expert at Data Kind
- Education:MS in Applied Urban Informatics at NYU with scholarship
- MS/BS in Civil Engineenring at NTU
Pienso
What are my daily tasks?
-
Brainstorming ML application
Build recommendation/search engine system around the core ML Algo -
Core Web API design
RESTful API design for our machine learning platform and make it scalable -
Data ingestion pipeline
Build data ingestion pipeline for streaming data, and huge batch data
Outlines
May the force be with you.
-
Current Job Market
Some research stats about the current job market -
Timeline
A brief planning guideline to be
Job Ready -
Online Resources
Online courses and websites
for DS, CS -
On-Campus Resources
Take advantage of your tuition -
Off-Campus Resource
Meetups and Hackathons -
Networking Tips
Coffee chat, Linkedin... -
Open Source Projects
Find some projects to work on! -
Make your Portfolio
Build your Portfolio with free resources
Current Job Market
Timeline
Data Science includes extensive knowledge
You dont have to know everything
-
Database Infrastructure
How to get data automatically? -
Math behind ML
Which ML algo can be applied? -
Business Metrics
Who is your target user and how to fit their needs?
Timeline for Machine Learning Engineer
-
01. Before school
- - Be familiar with Data Structure and Algorithm
- - Think of a side project to work on
- - Get your hands dirty on Big Data
- - Play Deep Learning with GPU if possible
-
02. During the school
- - Study hard and find Professor to get involved in ML research projects
- - Work hard on system design, ML Algo, and spark stack so you can put it on resume.
- - Apply for volunteer/intern with ML startups on Angel list
or Full-tim/Internship on Linkedin/Indeed/
Monster/Company Websites -
03. 6 months before graduation
- - Ask your professor for recommendation letter
- - Coffee chat with professionals/alumni
- - Refine your resume and Apply as much as you can
-
04. After Graduation
- Get a Job if you are lucky
- Keep Studying
- Keep Hardworking
- Keep Interviewing
Timeline for Data Scientist
-
01. Before school
- - Be familiar with Python and R
- - Think of a side project to work on
- - Get your hands dirty on D3.js
- - Play Deep Learning with GPU if possible
-
02. During the school
- - Study hard and find Professor to get involved in ML research projects
- - Work hard on Data Visualization, ML Algo, and Descriptive Analysis in Business so you can put it on resume.
- - Apply for volunteer/intern with ML startups on Angel list
or Full-tim/Internship on Linkedin/Indeed/
Monster/Company Websites -
03. 6 months before graduation
- - Ask your professor for recommendation letter
- - Coffee chat with professionals/alumni
- - Refine your resume and Apply as much as you can
-
04. After Graduation
- Get a Job if you are lucky
- Keep Studying
- Keep Hardworking
- Keep Interviewing
Timeline for Data Analyst
-
01. Before school
- - Be familiar with Python, R, and SQL
- - Think of a business case to work on
- - Get your hands dirty on Tableau
- - Play Shiny in R if possible
-
02. During the school
- - Study hard and Practice your storytelling skill
- - Work hard on Data Visualization, Data Mining, and Applied ML so you can put it on resume.
- - Apply for volunteer/intern with Business startups on Angel list
or Full-tim/Internship on Linkedin/Indeed/
Monster/Company Websites -
03. 6 months before graduation
- - As many case studies as possible to shine your expertise
- - Coffee chat with professionals/alumni
- - Refine your resume and Apply as much as you can
-
04. After Graduation
- Get a Job if you are lucky
- Keep Studying
- Keep Hardworking
- Keep Interviewing
Online Sources
On-Campus Resources
Off-Campus Sources
Hackathon
End Human Trafficking — NYC X DARPA
- Hackthon is the fastest way to learn programming
- Learning from your peers or Professionals
- Explore your interest in industries
Meetup Events
Data Science — NYC
- Networking and free food
- Learning from Experts - ideas and principles
- Pair programming
Networking Tips
Find your alumni and connect to them
Most of time alumnus are willing to help you and give you the referral.
Find HR and connect to them so they can see your resume on linkedin
Open Source Projects
Data for Democracy
This is a community to work on data-driven open source projects
for law or politics.
Skills might applied:
- communication
- Exploratory Data Analysis
- Modeling
- Project Management
Solve issue on github
Github is always the best way to figure out how to collaborate with developer
Skills might applied:
- Git
- Coding Style
- Documentations
Make your Portfolio
Tell a Story
connect your portfolio to your github and present your work!
Thank you
mailto:henrilin28tw@gmail.com


Space Cat Vote Tracker
Which Space Cat Is Your favorite? Vote for your favorite Space Cat now, by clicking on it!


net.floodlightcontroller.flowcache
Interface IFlowReconcileListener
- All Superinterfaces:
- IListener<OFType>
- All Known Implementing Classes:
- DeviceManagerImpl, DeviceManagerImpl, PortDownReconciliation
public interface IFlowReconcileListener
- extends IListener<OFType>
The Interface IFlowReconciler.
- Author:
- subrata
reconcileFlows
IListener.Command reconcileFlows(java.util.ArrayList<OFMatchReconcile> ofmRcList)
- Given an input OFMatch, this method applies the policy of the reconciler
and returns a the same input OFMatch structure modified. Additional
OFMatches, if needed, are returned in OFMatch-list. All the OFMatches
are assumed to have "PERMIT" action.
- Parameters:
ofmRcList
- input flow matches, to be updated to be consistent with
the policies of this reconciler
Additional OFMatch-es can be added to the "list" as
needed.
For example after a new ACL application, one flow-match
may result in multiple flow-matches
The method must also update the ReconcileAction
member in ofmRcList entries to indicate if the
flow needs to be modified, deleted or left unchanged
OR of a new entry is to be added after flow
reconciliation
- Returns:
- Command.CONTINUE if the OFMatch should be sent to the
next flow reconciler.
Command.STOP if the OFMatch shouldn't be processed
further. In this case the no reconciled flow-mods would
be programmed


Technical Blog Post #4
Researching Ruby methods
All about the cycle method!
Sunday, Feburary 8th, 2015
The Ruby method that I will be researching today is #cycle. After reading the Ruby Docs on this method, it seems that is it a powerful method that could be used in place of a while loop. Calling cycle on an array will infinitely print out the elements of the array. Also, if you definete a parameter for the method like .cycle(2), the result will be the array printed out twice. This can be very useful for different situations involving while loops. Cycle can even take advantage of the break command that stops an infinite loop at a certain point. An example of this is:
days_of_week.cycle {|day| puts day}
=> Monday
Tuesday
Wednesday
Thursday
Friday
Saturday
Sunday
Monday
Tuesday
...
source: (http://www.globalnerdy.com/2008/07/06/enumerating-enumerable-enumerablecycle/)
days_of_week.cycle do |day|
puts day
break if day == "Friday"
end
Tuesday
Wednesday
Thursday
Friday
=> nil


Welcome to the Page of Red Panada
Name: Ling Han
Senior CS students in University of Pittsburgh with expected gradauation date: summer 2018
Link for GitHub
Fact:
I speak three languages: english, korean, chinese
I enjoy cooking dishes from around the world!
Countries I have travelled to: China, Korea, Taiwan, Australia
Ski is my favoirte sports
I enjoy learning abit about how human's mind works as long as how computer works
Background:
Graduate from Pitt with bachelor degree in psychology
Currently a senior CS students in Pitt
Work experience:
Worked as research assistant in clinic and health psychology research lab at UPMC
Worked as therapeutic staff support in western human society
Worked as Procurement Operational Speaclist in SAP
Reason I choose this class
It will be a fun class
Hope to learn a complete skill set for building a functional and responsive website


HTML stands for Hyper Text Markup Language and is the structure of any web page. If you think of a house being built, HTML would be the structure of the house. A house has rooms, and similarly, a web page has sections (e.g. header, body, footer), and each section contains images and text. HTML organizes and presents the elements of a webpage in a structured hierarchy. An example of HTML as a house is below:
CSS or Cascading Style Sheets defines how elements look, so in the house analogy CSS would control the styling such as what colour the walls are, the size of the bedrooms, the furniture and furnishings inside the home etc. Without CSS the house would just be a structure. CSS styles web pages and plays an important role in how a website looks and feels. An example of CSS as a house would be: bedroom { width: 12ft; height: 8ft; walls: 1mm wallpaper matte; floor: carpet }
The control flow is the order in which a computer reads and executes statements in a script. The control flow usually reads code from top to bottom, although conditions such as loops in Javascript can change this order. An example of control flow in soccer is before a soccer game I will:
Loops in Javascript are used to execute the same block of code a specified number of times or while a specified condition is true. There are two different kinds of loops in JavaScript which are ‘for’ loops and ‘while’ loops. ‘For’ loops through a block of code a specified number of times and ‘while’ loops through a block of code while a specified condition is true. Loops are great to use in JavaScript as they can streamline the execution of repetitive tasks and makes code easier to read.
The Document Object Model (DOM) is the data representation of the objects that comprise the structure and content of a document on the web. The DOM represents the document as nodes and object, and that way programming languages such as HTML, CSS and JavaScript can connect to the page and change the document structure, style and content. The DOM is accessed by right clicking and clicking ‘inspect’ and is built into most browsers and is a powerful tool for web developers to use.
Arrays and Objects are both ways of storing data in JavaScript. Arrays are like lists in JavaScript and they help store, organise and retrieve data. An example of the way an array is written is groceryList[milk, bread, cheese, icecream] . unlike humans, computers count starting from 0, so if I wanted to access an item on the array I would type groceryList[0] and this would output “milk.”
Objects are a collection of named values and are used to group related data and functions together. An example of an object is: var myComputer = { operatingSystem: 'mac', screensize: '15 inches', purchaseYear: 2011 }; To access an item from the object type the variable (myComputer) is written followed by a . and the object (e.g. screensize) myComputer.operatingSystem = "mac" myComputer.screensize = "15 inches" myComputer.purchaseYear = 2011
Functions are a block of code that executes a certain task and can contain loops and conditions. Functions are similar to a set of instructions and comprise of a set of code you want to run, and returns a result when the function is called. Functions are essential in JavaScript as they can streamline a repetitive task so you won’t need to write the same code time and time again, and also help make code more readable. An example of a funtion is: function makeToastedSandwich() { Get one slice of bread; Add sandwich fillings; Put a slice of bread on top; } Writing makeToastedSandwich(); will run Get one slice of bread; Add sandwich fillings; Put a slice of bread on top;


@Documented @Inherited @Retention(value=RUNTIME) @Target(value=TYPE) public @interface RegistrationOverrideProhibited
RemoteObjectRegistration
, that it
should not be overridden if it is already registered.
If the RemoteObjectRegistration
contains any instance of the provided
annotated Type, it will not be overridden. So the following will lead to the first object staying within the registration
@RegistrationOverrideProhibited
interface Test {
void test();
}
class Testing {
RemoteObjectRegistration registration = ...
void run() {
// This will register the TestImpl Class to the Registration, identified by the Test.class
registration.register(new TestImpl(), Test.class);
// This call will not work. It will debug, that it could not be registered
registration.register(new TestImpl(), Test.class);
// Same as above. However, TestImpl will still be registered to TestImpl.class
registration.hook(new TestImpl());
}
private class TestImpl implements Test {
@Override
public void test() {
// Do Something
}
}
}
So you may say that, any Object may be set to the RemoteObjectRegistration, but not updated.
Note: If you call RemoteObjectRegistration.clear()
, this instance will still be cleared from the Registration
Copyright © 2018. All rights reserved.


{% extends 'base.html' %} {% block title %}Home Page{% endblock title %} {% load static %}
You are welcome on Home Page
A new login has been created for you - {{user.first_name}} {{user.last_name}}
Your email is - {{user.email}}


**
Game Over
You Win!
Click to Start Playing
Max Clicks
Clicks Owned
Clicks/Gen
Generation
Log...
Increase Max Clicks
Increase Clicks Per Generation
Click for Resources
r1 +1
Storage r1
|
r1
r2 +1
Storage r2
|
r2
r3 +1
Storage r3
|
r3
Auto Generate Resources
Item (r1 +1)
|
r1
Item (r2 +1)
|
r2
Item (r2 +2)
|
r1
r2
Item (r1 +5)
|
r1
r2
Item (r3 +5)
|
r2
r3
Convert Resources to Goods
r1 to g1
|
0
r1
|
Sell
r2 to g2
|
0
r2
|
Sell
r3 to g3
|
r3
|
Sell
Defenders
buy barrack 1
|
g1
g2
0%
buy barrack 2
|
g1
g2
0%
buy barrack 3
|
g3
0%
Insert Javascript Cheat Codes
Version:
.
.


{% extends "base.html" %}
{% load staticfiles %}
{% block content %}
TERMS AND CONDITIONS
- This tool is specifically for the purpose of collecting data
- The score shown by this tool should not be taken as 100% accurate
- No final judgement of a person's depression should be taken by looking at the score provided by this tool.
- We will not be responsible for any injury, illness, death, loss (for example loss of enjoyment)
- We reserve the right, at its sole discretion, to change, modify, add or remove portions of these Terms, at any time. It is your responsibility to check these Terms and Conditions periodically for changes
- By Signing up and taking the test you agree to all of our terms.
CONTINUE TO THE REGISTRATION PAGE
{% endblock %}