通識教育核心精神

20161105-%e9%80%9a%e8%ad%98%e6%95%99%e8%82%b2%e7%9b%ae%e7%9a%84

廣告

MCDM

Note: 高教與人才培育報告

這是洪教授的報告分享, 我覺得有啟發, 所以做個筆記,常忘記, 就再看一看

人的記憶裡是有極限,  用新方法紀錄有意義的內容.

 

學門專長分類表

20160208-學門分類

生產鏈活動分類

專注在數位化及模組化弱的產業, 以鞏固強化流動性低具社會植根性的活動

20151031_生產鏈

4G

CSS CHEAT SHEET

Syntax
selector {property: value;}
External Style Sheet
<link rel="stylesheet" type="text/css" href="style.css" />
Internal Style
<style type="text/css">
selector {property: value;}
</style>
Inline Style
<tag style="property: value">
GENERAL
Class String preceded by a period
ID String preceded by a hash mark
div Formats structure or block of text
span Inline formatting
color Foreground color
cursor Appearance of the cursor
display
block; inline; list-item; none
overflow How content overflowing its box is handled

visible, hidden, scroll, auto
visibility
visible, hidden
FONT
font-style
Italic, normal
font-variant
normal, small-caps
font-weight
bold, normal, lighter, bolder, integer (100-900)
font-size Size of the font
font-family Specific font(s) to be used
TEXT
letter-spacing Space between letters
line-height Vertical distance between baselines
text-align Horizontal alignment
text-decoration
blink, line-through, none, overline, underline
text-indent First line indentation
text-transform
capitalize, lowercase, uppercase
vertical-align Vertical alignment
word-spacing Spacing between words
BOX MODEL
CSS Box Model height; width; margin-top; margin-right; margin-bottom; margin-left; padding-top; padding-right; padding-bottom; padding-left;
BORDER
border-width Width of the border
border-style
dashed; dotted; double; groove; inset; outset; ridge; solid; none
border-color Color of the border
POSITION
clear Any floating elements around the element?

both, left, right, none
float Floats to a specified side

left, right, none
left The left position of an element

auto, length values (pt, in, cm, px)
top The top position of an element

auto, length values (pt, in, cm, px)
position
static, relative, absolute
z-index Element above or below overlapping elements?

auto, integer (higher numbers on top)
BACKGROUND
background-color Background color
background-image Background image
background-repeat
repeat, no-repeat, repeat-x, repeat-y
background-attachment Background image scroll with the element?

scroll, fixed
background-position
(x y), top, center, bottom, left, right
LIST
list-style-type Type of bullet or numbering in the list

disc; circle; square; decimal; lower-roman; upper-roman; lower-alpha; upper-alpha; none
list-style-position Position of the bullet or number in a list

inside; outside
list-style-image Image to be used as the bullet in a list
* The properties for each selector are in the order they should appear when using short

Emerging Topics in Computing

前瞻性技術,產業界不見得用這麼快.

企業喜歡找"Ready person", 把R&D最辛苦不確定的過程簡化. 這樣的心態有點短視.  應該是每家企業願意投入相關的前瞻性科研的領域和方向都不同. 看需要, 但直接撿現成的成果或人才,心態有點要不得, 產學應該合作吧.

相關產品研究:

  • Enterprise Computing Systems
  • Computational Networks
  • Hardware and Embedded System Security
  • Educational Computing
  • High Performance Computing
  • Next Generation Wireless Computing Systems

效能方面的人才很少,但又很需要. 雲端,行動都要理解系統計算效能. 我想起來以前遊戲公司在開發3D遊戲吃了很大的虧, 效能簡直就是所有產業發展的根本.  想發展雲端運算, 大數據, 行動運算,物聯網,必要掌握系統運算的最適化.

Special Issue on Big Data Benchmarks(大數據基準), Performance Optimization(效能最佳化), and Emerging Hardware

Big data are emerging as a strategic property of nations and organizations. There are driving needs to generate values from big data. However, the sheer volume of big data requires significant

It is expected that systems with unprecedented scales (前所未有的尺度) can resolve the problems caused by varieties of big data with daunting volumes. Nevertheless, without big data benchmarks, it is very difficult for big data owners to make a decision on which system is best for meeting with their specific requirements. They also face challenges on how to optimize the systems for specific or even comprehensive workloads.

Meanwhile, researchers are also working on innovative data management systems, hardware architectures, and operating systems to improve performance in dealing with big data.

This focus of this special issue will be on architecture and system support for big data systems.

Special Issue on Methods and Techniques for Processing Streaming Big Data in Datacentre Clouds

Internet of Things (IoT) is a part of Future Internet and comprises many billions of Internet connected Objects (ICOs) or ‘things’

ICOs can include sensors, RFIDs, social media, actuators (such as machines/equipments fitted with sensors) as well as lab instruments (e.g., high energy physics synchrotron), and smart consumer appliances (smart TV, smart phone, etc.).

The IoT vision has recently given rise to IoT big data applications that are capable of producing billions of data stream and tens of years of historical data to support timely decision making.

Some of the emerging IoT big data applications, e.g. smart energy grids, syndromic bio-surveillance, environmental monitoring, emergency situation awareness, digital agriculture, and smart manufacturing, need to process and manage massive, streaming, and multi-dimensional (from multiple sources) data from geographically distributed data sources.

Despite recent technological advances of the data-intensive computing paradigms (e.g. the MapReduce paradigm, workflow technologies, stream processing engines, distributed machine learning frameworks) and datacentre clouds, large-scale reliable system-level software for IoT big data applications are yet to become commonplace.

As new diverse IoT applications begin to emerge, there is a need for optimized techniques to distribute processing of the streaming data produced by such applications across multiple datacentres that combine multiple, independent, and geographically distributed software and hardware resources.

However, the capability of existing data-intensive computing paradigms is limited in many important aspects such as:

(i) they can only process data on compute and storage resources within a centralised local area network, e.g., a single cluster within a datacentre. This leads to unsatisfied Quality of Service (QoS) in terms of timeliness of decision making, resource availability, data availability, etc. as application demands increase;

(ii) they do not provide mechanisms to seamlessly integrate data spread across multiple distributed heterogeneous data sources (ICOs);

(iii) lack support for rapid formulation of intuitive queries over streaming data based on general purpose concepts, vocabularies and data discovery; and

(iv) they do not provide any decision making support for selecting optimal data mining and machine algorithms, data application programming frameworks, and NoSQL database systems based on nature of the big data (volume, variety, and velocity).

Furthermore, adoption of existing datacentre cloud platform for hosting IoT applications is yet to be realised due to lack of techniques and software frameworks that can guarantee QoS under uncertain big data application behaviours (data arrival rate, number of data sources, decision making urgency, etc.), unpredictable datacentre resource conditions (failures, availability, malfunction, etc.) and capacity demands (bandwidth, memory, storage, and CPU cycles). It is clear that existing data intensive computing paradigms and related datacentre cloud resource provisioning techniques fall short of the IoT big data challenge or do not exist.

Special Issue on Approximate and Stochastic Computing Circuits, Systems and Algorithms

The last decade has seen renewed interest in non-traditional computing paradigms. Several (re-)emerging paradigms are aimed at leveraging the error resiliency of many systems by releasing the strict requirement of exactness in computing.

This special issue of TETC focuses on two specific lines of research, known as approximate and stochastic computing.

Approximate computing is driven by considerations of energy efficiency. Applications such as multimedia, recognition, and data mining are inherently error-tolerant and do not require perfect accuracy in computation. The results of signal processing algorithms used in image and video processing are ultimately left to human perception. Therefore, strict exactness may not be required and an imprecise result may suffice. In these applications, approximate circuits aim to improve energy-efficiency by maximally exploiting the tolerable loss of accuracy and trading it for energy and area savings.

Stochastic computing is a paradigm that achieves fault-tolerance and area savings through randomness. Information is represented by random binary bit streams, where the signal value is encoded by the probability of obtaining a one versus a zero. The approach is applicable for data intensive applications such as signal processing where small fluctuations can be tolerated but large errors are catastrophic. In such contexts, it offers savings in computational resources and provides tolerance to errors. This fault tolerance scales gracefully to high error rates. The focus of this special issue will be on the novel design and analysis of approximate and stochastic computing circuits, systems, algorithms and applications.

Special Issue/Section on Low-Power Image Recognition

Digital images have become integral parts of everyday life. It is estimated that 10 million images are uploaded to social networks each hour and 100 hours of video uploaded for sharing each minute. Sophisticated image / video processing has fundamentally changed how people interact.

This special issue focuses on the intersection of image recognition and energy conservation. P

Special Issue/Section on Defect and Fault Tolerance in VLSI and Nanotechnology Systems

The continuous scaling of CMOS devices as well as the increased interest in the use of emerging technologies make more and more important the topics related to defect and fault tolerance in VLSI and nanotechnology systems. All aspects of design, manufacturing, test, reliability, and availability that are affected by defects during manufacturing and by faults during system operation, are of interest. The IEEE Transaction on Emerging Topics in Computing (TETC) seeks original manuscripts for a Special Section on Defect and Fault Tolerance in VLSI Systems scheduled to appear in the December issue of 2016.

Special Issue/Section on Emerging Computational Paradigms and Architectures for Multicore Platforms

Multicore and many core embedded architectures are emerging as computational platforms in many application domains ranging for high performance computing to deeply embedded systems. The new generations of parallel systems, both homogeneous and heterogeneous that are developed on top of these architectures represent what is called the emerging computing continuum paradigm. A successful evolution of this paradigm is however imposing various challenges from both an architectural and a programming point of view. The design of embedded multicores/manycores requires innovative hardware specification and modeling strategies, as well as low power simulation, analysis and testing. New synthesis approaches, possibly including reliability and variability compensation, are key issues in the coming technology nodes.

Furthermore, thermal aware design is mandatory to manage power density issues. The design of effective interconnection networks is a key enabling technology in a manycore paradigm. New solutions such as photonics and RF NoCs architectures are emerging solutions on this regard. At the same time, these new interconnection systems have to be compliant with innovative 3D VLSI packaging technologies involving vertical interconnections in 3D and stacked ICs. These design solutions enable the integration of more and more IPs, resulting in heterogeneous platform where reconfigurable components, multi-DSP engines and GPUs collaborate to provide the target performance and energy requirements. Along with design and architectural innovations, many challenges have to be faced to enable an effective programming environment to many core systems. These challenges call from innovative solutions at the various levels of the programming toolchain, including compilers, programming models, runtime management and operating systems aspects. Holistic and cross-layer programming approaches have to be targeted considering not only performance, but also energy, dependability and real-time requirements. Finally, on the application side, multicore/manycore embedded systems are pushing developments in various domains such as biomedical, health care, internet of things, smart mobility, and aviation.

This special issue/section asks for emerging computation technology aspects related, but not limited to the mentioned topics. Contributions must be original and highlight emerging computation technologies in design, testing and programming multicore and manycore systems.

Special Issue/Section on New Paradigms in Ad Hoc, Sensor and Mesh Networks, From Theory to Practice

Ad hoc, sensor and mesh networks have attracted significant attention by academia and industry in the past decade. In recent years however new paradigms have emerged due to the large increase in number and processing power of smart phones and other portable devices. Furthermore, new applications and emerging technologies have created new research challenges for ad hoc networks. The emergence of new operational paradigms such as Smart Home and Smart City, Body Area Networks and E-Health, Device-to-Device Communications, Machine-to-Machine Communications, Software Defined Networks, the Internet of Things, RFID, and Small Cells require substantial changes in traditional ad hoc networking. The focus of this special issue is on novel applications, protocols and architectures, non-traditional measurement, modeling, analysis and evaluation, prototype systems, and experiments in ad hoc, sensor and mesh networks.

Markdown 語法

1 這語法夠直接了,但少用還是會忘, 所以我寫個筆記

2 Markdown的格式語法只涵蓋純文字可以涵蓋的範圍 ;
文字以外的 仍用html,只要直接加標籤就可以了.

3 只有“區塊“元素──比如


、、等標籤,必需在前後加上空行,以利與內容區隔
而且這些(元素)的開始與結尾標籤,不可以用tab或是空白來縮排This is an example
(空行)(空行)4 Markdown語法在HTML區塊標籤中將不會被進行處理
所以不要用markdown 在這些區塊標籤裡.5 但HTML的"區段"標籤如則不受限制,可以在Markdown的段落、清單或是標題裡任意使用6 也可以不用Markdown格式,而採用HTML標籤來格式化例:
如果比較喜歡HTML的 標籤,可以直接使用這些標籤,而不用Markdown提供的連結或是影像標示語法7.在html “區段"標籤的範圍內,Markdown的語法是有效的8. html 文件,有兩個符號要特別留意1) <
如果使用<符號作為HTML標籤使用,那Markdown也不會對它做任何轉換
但 4 < 5 在markdown 語法會是 4 <52) & — 要寫成& (我都念and amp 分號),
markdown 語言可以直接用3) 寫著作權可以直接寫. ©9 段落和換行1) Markdown允許段落內的強迫斷行用. html 斷行是用2) 空行的定義是顯示上看起來像是空行,便會被視為空行10 標題兩種標題的語法,Setext和atx形式。1) Setext形式: 用底線的形式.雙線與單線
=================
________________________2) Atx形式 : 在行首插入1到6個 # ,各對應到標題1到6階#
##
###
####
#####
######可選擇性地「關閉」atx樣式的標題,這純粹只是美觀用的,
若是覺得這樣看起來比較舒適,你就可以在行尾加上#,而行尾的#數量也不用和開頭一樣(行首的井字數量決定標題的階數)11 區塊引言: 只在整個段落的第一行最前面加上>1) >
2) 區塊引言可以有階層(例如:引言內的引言),只要根據層數加上不同數量的>
3) 引言的區塊內也可以使用其他的Markdown語法12 清單1)無序清單使用星號
*
**
***2) 有序清單則使用數字接著一個英文句點1.
2.
3.要讓清單看起來更漂亮,你可以把內容用固定的縮排整理好3) 如果清單項目間用空行分開, Markdown會把項目的內容在輸出時用標籤包起來4) 清單項目可以包含多個段落,每個項目下的段落都必須"縮排4個空白"或是"一個 tab"5) 如果要在清單項目內放進引言,那>就需要縮排例
1. This is my book> time is money6) 清單 要放程式碼區塊的話,該區塊就需要縮排兩次,也就是8個空白或是兩個tab例  13 程式碼區塊1)要在Markdown中建立程式碼區塊很簡單,只要簡單地縮排4個空白或是1個tab就可以例
This is Joe’s coding
This is joe’s coding2) 一個程式碼區塊會一直持續到沒有縮排的那一行
3)在程式碼區塊裡面,&、<和>會自動轉成HTML實體
4)程式碼區塊中,一般的Markdown語法不會被轉換14 分隔線可以在一行中用三個或以上的星號、減號、底線來建立一個分隔線例
***

_____
15 連結
[an example](http://example.com/ “Title")例: 下面這三種連結的定義都是相同:
[foo]: http://example.com/ “Optional Title Here"
[foo]: http://example.com/ ‘Optional Title Here’
[foo]: http://example.com/ (Optional Title Here)16 強調
Markdown使用星號(*)和底線(_)作為標記強調字詞的符號17程式碼如果要標記一小段行內程式碼,你可以用反引號把它包起來(`)例:
`test()`18 自動連結
只要是用方括號包起來,Markdown就會自動把它轉成連結,連結的文字就和連結位置一樣例
<http://www.google.com>19 自動的郵件連結

<joe@gmail.com>20 在星號的前面加上反斜線, 用星號加在文字旁邊的方式來做出強調效果
例:
\*joe\*

這是我的練習1 標題練習
#Joe#
##Joe##
###Joe###
####Joe####
#####Joe#####
######Joe#####2 強調
*Joe* (斜體, italic)
**Joe **(Bold)
***Joe ***3 Listing items
用下橫線.
_Joe *Joe
-Peter *Peter
_Tom *Tom4 順序
1.Joe
2.Peter
3.Tom5 連結
[arttek](http://art-tek.weebly.com/ “Welcome to arttek"


Note: 著作權

依著作權法第三十條規定,著作財產權存續於著作人之生存期間及其死亡後五十年,如有數位繼承人繼承某一著作,利用人要利用該著作是否須得所有繼承人的同意?

內文: 依著作權法規定,共有的著作財產權,非經著作財產權人全體同意不得行使之,各著作財產權人無正當理由者,不得拒絕同意。於著作財產權人死亡後,有好幾位繼承人繼承著作財產權的遺產時,各該繼承人即成立著作財產權的共有關係,利用人如欲利用該著作,除符合合理使用情形外,應徵得全體著作財產權人的同意
%d 位部落客按了讚: