LECTURES

 

 

   
 
 
 
   

Keynote: 

Challenges on scaling basic biology to National Laboratories

venue:

NCHC , Hsinchu

Time:

2018年12月4日 下午14:00~16:00

Speaker:

Dr. Rafael Vescovi, Narayanam “Bobby” Kasthuri

University of Chicago, Argonne National Laboratories

   
 

Abstract:

In 1895, German physicist Wilhelm Röntgen created the first and most famous radiography using x-ray radiation. In 1989, Spanish neuroscientist Santiago Ramon y Cajal observed and drawed the first known figures of neurons and the nervous system. In 1931, Ernest Ruska developed the first working Electron Microscope. These facts may seem uncorrelated at first but they will come together on the challenge of scaling basic anatomy to the level of National Laboratories. Almost 100 years after the birth of modern neuroanatomy and the challenge is still the same, how will we map all the neuro structure on a whole human brain. This presentation will cover the current efforts to merge the most modern neuroscience techniques, material science imaging techniques and super computer facilities in order to scale biology to collaboration levels like CERN or NASA

 

   
 
 
 
   

Keynote:  

Overview of high performance computing studies in SCCS

Venue:

NCHC , Hsinchu

Time:

2018/9/21 10:00~12:00 am

Speaker:

prof.許文翰

高效能與科學計算技術研究中心, 國立臺灣大學

   
 

Abstract:

An overview of the high performance computing works conducted in SCCS will be given. Our aim is to give audience a brief introduction of what we have done in the past, our current research works and some future works under current planning. It is best hoped to initialize some possible joint researches with the faculties in NCHC

 

   
 
 
 
   

Keynote: 

全球生物多樣性資訊流通與展望

Venue:

NCHC, Hsinchu 

Time:

2018/8/7 10:00~12:00 am

Speaker:

Mr.柯智仁

Biodiversity Research Center, Academia Sinica

   
 

Abstract:

全球生物多樣性資訊機構(GBIF)為多國政府在經濟合作與發展組織(OECD)於1999 年決議成立,多年來協同各國節點及國際主要自然史典藏機構及生態監測網絡推動生 物多樣性領域的開放資料文化,並建置資料流通之資訊學基礎建設。GBIF.org於今年六 月累積突破10億筆物種出現紀錄,6,249篇引用資料的期刊論文及報告,成為相關研究 及政策討論不可或缺的資料來源。 國際上生物多樣性資訊相關組織、計畫及工作發展面向及層次多元且複雜,GBIF 於2012年召開全球生物多樣性資訊會議,會同領域內近百位專家、經理人及學者,共 同研議《全球生物多樣性資訊展望》(Global Biodiversity Informatics Outlook, GBIO), 提供一包含「文化」、「資料」、「證據」及「理解」等層次的合作框架,並於今年 七月再度召開會議,推演適合領域現況的協同機制,以促進生物多樣性資訊工作能協 助各國達成推動實現愛知目標及聯合國永續發展目標。 臺灣的生物多樣性資料在科技部及林務局多年的支持、以及特有生物研究保育中 心的協同推動下,目前在GBIF.org累積有約300萬筆紀錄,然而參考GBIO,國內在分 享資料、使用資料及資訊服務建置上仍有許多面向有待更多組織協同合作,以支持研 究課題證據導向的討論、保育工作的規劃及相關政策的執行,以永續經營臺灣獨特的 自然環境,促進經濟發展及社會健康。 本報告簡介GBIF及GBIO,探討在全球生物多樣性資訊活動的脈絡下,臺灣生物 多樣性資訊工作的現況及可能的協同發展方向。

 

   
 
 
 
   

Keynote: 

SDN/NFV-Based Security On Demand System

 

Venue:

NCHC, Hsinchu 

Time:

2018/7/31/  10:00~12:00 am

Speaker:

Dr. 周立德

NCU , Information Management Center director

   
 

Abstract:

本演講將介紹一結合軟體定義網路(Software Defined Networks, SDN)、網路功能虛擬化(Network Function Virtualization, NFV)及服務功能鏈(Service Function Chain, SFC)的資安隨選系統,能針對不同使用者來彈性地進行不同等級的資安監控。本系統榮獲 2017 年通訊大賽-SDN/NFV 創新應用組冠軍。此外,時間若有餘裕,演講人亦將簡介所開發的智慧客服系統,該系統已實際於國立中央大學電子計算機中心提供諮詢服務。

   
 
 
 
   

Keynote: 

Carbon storage due to aquatic ecosystem using a hydrological model

Venue:

Taichung

Time:

2018/7/11/ 10:00~12:00am

Speaker:

prof. Keisuke Nakayama

Kobe University

   
 

Abstract:

To prevent and mitigate disaster due to climate change, the 
application of carbon capture and storage from the atmosphere in aquatic 
ecosystem has been performed globally. However, it has not been revealed 
a detailed mechanism of carbon capture by aquatic ecosystem due to the 
complexity of waves and currents, which determines the temporal change 
in and spatial distribution of dissolved organic matter, salinity, water 
temperature, total alkaline, dissolved inorganic matter, and so on. A 
three-dimensional numerical computation is considered to be one of the 
most appropriate methods in order to clarify the complicated mass 
transport in a stratified flow field. Therefore, the purposes of the 
study are to carry out the collaborate field observation in the coastal 
areas and subtropical lakes, and to develop a new model which includes 
the carbon absorption by aquatic ecosystem in stratification.

   
 
 
 
   

Keynote: 

Data Applications in the Political Field

 

Venue: NCHC, Hsinchu
Time:

2018/6/13   10:30~12:30 am

Speaker:

Dr. I Ping Hsieh

SwayStrategy Development Director

   
 

Abstract:

From the data point of view, observe and analyze human behavior, finance, sports, politics, etc.

For the era of information explosion, Studying political behavior from data  for example, electoral voting, topical offensive and defensive, cyber community, street sports,

This presentation describes how data applications in the field of politics


   
 
 
 
   

Keynote: 

The shape of Data: A Short Introduction to Topological Data Analysis

 

Venue: NCHC, Hsinchu
Time:

2018/5/31 10:00~12:00 am

Speaker:

Mr. Frédéric Chazal

Inria Research Center Sacla

   
  Abstract: Frédéric Chazal is Directeur de Recherche (DR1) at INRIA Saclay-Ile-de-France. He holds his PhD in Pure Mathematics at Université de Bourgogne. He is a member of editorial board of Discrete and Computational Geometry (Springer), SIAM Journal on Imaging Sciences and Graphical Models (Elsevier). His main research interests are in the fields of Topological and Geometric Data Analysis: statistical methods, inference and learning Topological persistence; Geometric inference and geometric learning; Computational Geometry, Geometry processing and Solid Modeling and Geometry and Topology. He published many papers in leading international journals and books. See: Frédéric's web page

   
 
 
 
   

Keynote: 

Towards mutual care for medical care.
Venue: NCHC, Hsinchu
Time:

2018/5/28 10:00~12:00a.m.

Speaker:

Ms. 許美鈴

嘉義基督教醫院

   
  Abstract:

Facing the ageing future, The integration of medical care and conservation will become a global trend.

When medical services gradually emerge from the wall of the hospital, Cloud and operations will be necessary information to support services , Integration, Big Data and Artificial Intelligence will bring important breakthroughs to human medical care and care.

But how to integrate data from different sources?

How to exchange information between service teams?

It is a problem that must be faced when integrating services and big data construction.

This presentation will share with you how to move toward the generation of medical care.


 

   
 
 
 
   
Keynote:  Lifemapper: 300年來的地球生命製圖與未來預測工具
Venue: NCHC, Hsinchu
Time: 2018/5/4 10:00am
Speaker: Ms. Aimee Stewart, and Dr. James Beach
  Biodiversity Institute, U. of Kansas, USA
Abstract:

In this webinar we will describe the research goals and computational capabilities of Lifemapper software. The Lifemapper platform takes as input georeferenced point data of known species occurrences based on biological museum specimens and observations of species in the wild.  Lifemapper generates predicted species distribution models or suitable habitat models for plants and animals based on correlations between distributions documented by specimens, and environmental data layers such as climate, substrates, and vegetation cover.  In addition the Project computes multi-species distribution models for regions or continents into data structures known as presence-absence matrices which are then used to compute various biodiversity indices and statistics. These derived products are also useful for analyzing the relative contribution of historic biogeography and phylogeny on patterns of species diversity found in any particular area, region, or island.

     

   
 
 
 
   

Keynote: 

從菜鳥警察到資料戰警 --- Data scientist as police

Venue:

NCHC, Hsinchu 

Time:

2018/4/13 10:00~12:00a.m.

Speaker:

Mr. 柯維然

新竹市警察局

   
  Abstract:
  1. 從資料看交通安全
  2. 警政資料分析
  3. 應用深度學習於車流預測
  4. 監錄系統智慧化與邁向人工智慧

   
 
 
 
   

Keynote:

New Developments in German and European HPC

Venue: NCHC, Hsinchu
Time:

 

2018/3/28/ 10:00~12:00 a.m

 

Speaker:

 

Dr. Michael M. Resch

HPC Center Stuttgart (HLRS), Germany

 

   
  Abstract: The European Commission has recently launched a new initiative for the funding of HPC. Called a Joint Undertaking the initiative aims to be competitive in the
field of HPC especially with resepct to the race for Exaflop computer. in this talk we will present a quick look at HLRS, the German strategy fo HPC and the status
of the European niitiative.

   
 
 
 
   
Keynote: Online Social Interactions, Information Life Cycle, Misinformation and Electronic Army
Venue: NCHC, Hsinchu
Time:

 

2018/3/20日  2:00~3:00p.m.

 

Speaker:

Prof. S. Felix Wu

 Professor of Computer Science and Associate Dean of Academic Personnel and Research, College of Engineering, at UC Davis.

   
  Abstract: The popularity of social media systems provides us both a platform to exchange information and a challenging vulnerability for the concern of misinformation (i.e., "Fake News"). To analyze the interference between social interactions and information delivery, we have conducted a global, large-scale data analytic study regarding both people, including bots, and the content delivery triggering their interactions. While this trend enables us to explore social sciences computationally, it has also inspired computer scientists to adopt ideas from social sciences into the fundamentals of information processing. The focus of this talk is to articulate this linkage between social sciences and computer science under the broader topic of computational journalism. This linkage has inspired us to investigate a new paradigm to characterize the inter-process among online users, news media, and the computational delivery platform such as Facebook. We will present our latest results in analyzing the hidden properties on social media communities and their applications in analyzing misinformation and identifying behaviors of potential electronic army.

   
 
 
 
   
Keynote: HPC meets Big Data / AI and Further Advances into the Post-Moor
Venue: NCHC, Hsinchu
Time:

 

2018/1/25 02:00~05:00 p.m

 

講者:

Dr. Satoshi Matsuoka

Professor, Tokyo Institute of Technology and Fellow, Advanced Institute for Science and Technology (AIST), Japan

Director, Joint AIST-Tokyo Tech. Open Innovation Lab on Real World Big Data Computing

   
  Abstract:

With rapid rise and increase of Big Data and AI as a new breed of high-performance workloads on supercomputers, we need to accommodate them at scale, traditional simulation-based HPC and BD/AI will converge. Our TSUBAME3 supercomputer at Tokyo Institute of Technology became online in Aug. 2017, and became the greenest supercomputer in the world on the Green 500 ranking at 14.11 GFlops/W; the other aspect of TSUBAME3, is to embody various Data or "BYTES-oriented" features to allow for HPC to BD/AI convergence at scale, including significant scalable horizontal bandwidth as well as support for deep memory hierarchy and capacity, along with high flops in low precision arithmetic for deep learning. Furthermore, TSUBAM3's technologies will be commoditized to construct one of the world’s largest BD/AI focused and "open-source" cloud infrastructure called ABCI (AI-Based Bridging Cloud Infrastructure), hosted by AIST-AIRC (AI Research Center), the largest public funded AI research center in Japan. The performance of the machine is slated to be several hundred AI-Petaflops for machine learning; the true nature of the machine however, is its BYTES-oriented, optimization acceleration in the memory hiearchy, I/O, the interconnect etc, for high-performance BD/AI. ABCI will be online Spring 2018 and its archiecture, software, as well as the datacenter infrastructure design itself will be made open to drive rapid adoptions and improvements by the community, unlike the concealed cloud infrastructures of today. Finally, transcending from FLOPS-centric mindset to being BYTES-oriented will be one of the key solutions to the upcoming "end-of-Moore's law" in the mind 2020s, upon which FLOPS increase will cease and BYTES-oriented advances will be the new source of performance increases over time in general for any compputing.


   
 
 
 
   

Keynote: 

The Quantum Computing Difference in Machine Learning
Venue: NCHC, Hsinchu
Time:

 

2017/11/22  10:00~11:00 a.m

 

Speaker:

Mr. Handol Kim

D-wave System Inc.

   
  Abstract:

Kanokvate Tungpimolrut was born in Bangkok, Thailand, in 1968. He received the B.Eng. degree in electrical and electronics engineering from King Mongkut’s Institue of Technology Ladkraband, in 1989, and the M. Eng. as well as D. Eng. degree in electrical and electronics engineering from Tokyo Institute of Technology, in 1992 and 1995, respectively.

Following receipt of the D.Eng. degree, he was a researcher with Fuji Elctric Co., Ltd. Since 1996, he has been a researcher with National Electronics and Computer Technology Center, Thailand. His research interests are the induction motor drive system and switched reluctance motor interests are the switched reluctance motor and drive system as well as motor drive applications.


   
 
 
 
   
Keynote:  Brain Mapping@Argonne- MRI-X-Ray - Electron Microscopy and Supercomputers
Venue: NCHC, Hsinchu
Time: 2017 / 11/ 8, 10:00am
Speaker:

 Rafael Vescovi

  Argonne National Laboratory/University of Chicago
  Abstract:

At low resolution scales (e.g. mm voxels), magnetic resonance imaging (MRI) techniques allow for in vivo or ex vivo mapping of neuronal tracts through a combination of diffusion-weighted imaging techniques and post-imaging computational tractography. While powerful, they cannot achieve the nanometer-scale resolution required to identify neuronal connections. Moreover, they have never been thoroughly validated against ground truth high-resolution data. At the highest resolution scale (e.g. nm voxels), recent efforts at automated electron microcopy (EM) provide synapse-level resolution (3 nm) but are currently limited to brain volumes of the size of a grain of sand and face serious computational challenges scaling to even 2 pixels of MRI data at 1 mm resolution (i.e. almost 2 petabytes of EM data). This unresolved mismatch between these imaging modalities (and others) partitions our understanding of the brain into ‘silos’ divided by resolution scales with little to no cross validation. The strengths of each modality are not leveraged for a more comprehensive understanding of the brain. This problem is only exacerbated since brains potentially operate at multiple scales in parallel (from communication via individual connections between neurons to communication between brain regions). Multi-resolution multi-modal brain maps are critically necessary for a more complete understanding of the brain.
We propose to use synchrotron-based micro-CT (uCT) to fill this gap, bridging the resolution divide between MRI and EM by providing intermediate resolution (e.g. micron voxels) over entire brains and with sample preparation conditions compatible with MRI and automated EM on the same brains. We propose to use uCT as a ‘Rosetta Stone’ enabling mapping of complete neuronal paths, allowing, for the first time, validation of dtMRI, and identifying areas of interest in both coarser resolution modalities for subsequent nanometer reconstructions with automated serial EM.  


 

   
 
 
 
   

Keynote: 

Personalized Transfer Learning

Venue: NCHC, Hsinchu
Time: 2017 / 11/ 7, 10:00am
Speaker: Pascal Poupart 
  David R. Cheriton School of Computer Science
University of Waterloo
  Abstract:

In several application domains, data instances are produced by a population of individuals that exhibit a variety of different characteristics. For instance, in activity recognition, different individuals might walk or run with different gait patterns. Similarly, in sleep studies, different individuals might exhibit different patterns for the same sleep stages. In telecommunication networks, software applications might generate packet flows between servers according to different patterns. In such scenarios, it is tempting to treat the population as a homogeneous source of data and to learn a single average model for the entire population. However, this average model will perform poorly in recognition tasks for individuals that differ significantly from the average. Hence, there is a need for transfer learning techniques that take into account the variations between individuals within a population. In this talk, I will describe online algorithms to transfer knowledge on the fly from specific individuals within a population to a new individual in order to bootstrap the learning process in sequential tasks such as activity recognition, sleep stage identification and packet flow prediction in telecommunication networks.


 

   
 
 
 
   
Keynote: 

Aquatic Ecotoxicology and Ecosystem Metabolism under Changing Environment:
Insights from High-Frequency Sensor Data and Mechanistic Modeling

Venue: NCHC, Hsinchu
Time: 2017 / 11/ 3, 02:00pm
Speaker: Tsai, Jeng-Wei porfessor
  China Medical University Department of Biological Science and Technology Associate Professor
  Abstract:

Dr. Tsai  study demonstrates that terrestrial loads of CDOM serve as a

controlling variable for understanding the response and sensitivity of
ecosystem carbon flux to variation in inter-annual precipitation.Aside from
the application of the study to control of the drinking water quality,
results of this study have important implications for predicting the trend,
magnitude, duration, and sensitivity of the response of subtropical
lakes/reservoirs function to future changes in precipitation patterns under
an altered climate.

 

   
 
 
 
   
Keynote:  Container Technology and System Software for Non-Volatile Memory
Venue: NCHC, Hsinchu
Time: 2017 / 8 / 15, 02:00pm
Speaker: Dr. Ryousei Takano
  Advanced Industrial Science and Technology (AIST), Japan
 

Abstract:

We recently initiated a project to develop a cloud-based machine learning system based on the FCHA. Flow in Cloud is a pool of multiple kinds of processing engines such as FPGA and GPU connected by a circuit switch network. A special operating system, Flow OS, will combine, connect, and provide such engines to users based on job requirements. There are many technology developed behind the scene. One of them is the container technology. This talk will elaborate this effort for future AI platform.


 

   
 
 
 
   
Keynote:  Brain Mapping @Argonne
Venue: NCHC, Hsinchu
Time: 2017 / 5 / 10, 02:00pm
Speaker: Narayanan (Bobby) Kasthuri
  Argonne National Lab., USA
 

Abstract:

Dr. Kasthuri developed an automated approach to large-volume serial electron microscopy ("connectomics"). The Kasthuri lab continues to innovate new approaches to electron microscopic based connectomics reconstructions including making samples more amenable to automatic segmentation and combining proteomic and genomic approaches with electron microscopy. We are also now exploring the use of high-energy X-rays from synchrotron sources for mapping brains in their entirety. The Kasthuri lab is applying these techniques to developing, adult, and aged brains in service of answering the question: How do brains grow up and age?


 

   
 
 
 
   
Keynote:  Harvesting Value from 300 Years of Biological Inventory with the Lifemapper Platform
Venue: NCHC, Hsinchu, Taiwan
Time: 2017 / 3 / 29, 09:00am
Speaker: Ms. Aimee Stewart, and Dr. James Beach
  Biodiversity Institute, U. of Kansas, USA

Abstract:

In this webinar we will describe the research goals and computational capabilities of Lifemapper software. The Lifemapper platform takes as input georeferenced point data of known species occurrences based on biological museum specimens and observations of species in the wild.  Lifemapper generates predicted species distribution models or suitable habitat models for plants and animals based on correlations between distributions documented by specimens, and environmental data layers such as climate, substrates, and vegetation cover.  In addition the Project computes multi-species distribution models for regions or continents into data structures known as presence-absence matrices which are then used to compute various biodiversity indices and statistics. These derived products are also useful for analyzing the relative contribution of historic biogeography and phylogeny on patterns of species diversity found in any particular area, region, or island.

  Webinar Information: Sign up here (free.) The link to join the webinar will be included the registration confirmation email.

 

   
 
 
 
   
Keynote:  Brief Introduction of ICT Development in AIST
Venue: NCHC, Hsinchu, Taiwan
Time: 2017 / 3 / 14, 10:00am
Speaker: Dr. Tanaka Yoshio
  Director of Information Technology Research Institute, Advanced Industrial Science and Technology (AIST), Japan

 

   
 
 
 
   
Keynote:  Caches all the day down: Infrastructure for Data Science
Venue: NCHC, Hsinchu, Taiwan
Time: 2017 / 3 / 10, 10:30am
Speaker: Prof. David Abramson
  U. of Queensland, Australoa
 

Abstract:

The rise of big data science has created new demands for modern computer systems. While floating performance has driven computer architecture and system design for the past few decades, there is renewed interest in the speed at which data can be ingested and processed. Early exemplars such as Gordon, the NSF funded system at the San Diego Supercomputing Centre, shifted the focus from pure floating point performance to memory and IO rates. At the University of Queensland we have continued this trend with the design of FlashLite, a parallel cluster equiped with large amounts of main memory, Flash disk, and a distributed shared memory system (ScaleMP’s vSMP). This allows applications to place data “close” to the processor, enhancing processing speeds. Further, we have built a geographically distributed multi-tier hierarchical data fabric called MeDiCI, which provides an abstraction very large data stores cross the metropolitan area. MeDiCI leverages industry solutions such as IBM’s Spectrum Scale and SGI’s DMF platforms. Caching underpins both FlashLite and MeDiCI. In this talk I will describe the design decisions and illustrate some early application studies that benefit from the approach.


 

 

   
 
 
 
   
Keynote:  German and European HPC Strategies
Venue: NCHC, Hsinchu,Taiwan
Time: 2017 / 1 / 25, 11:00am
Speaker: Michael M. Resch
  HPC Center Stuttgart (HLRS), Germany
 

Abstract:

European and German HPC are closely connected. Over the last years Germany has provided the backbone of the European PRACE infrastructure that supplies researchers all over Europe with access to world class supercomputer. In the talk we discuss how the German concept of three centers has helped to stay competitive even with the US and how European politics is targeting to become a major player in HPC worldwide.


   
 
 
 
 
 
Keynote: An Informal Introduction on Applications of Weather Forecast Simulation to Fuhai Offshore Windfarm
Venue: NCHC, Hsinchu, Taiwan
Time: 2017 / 1 / 13, 10:00am
Speaker: Dr. Chih-Yu Kuo
  Acadamia Sinica, Taiwan

Abstract:

Wind resources in the Taiwan Strait are rich and wind farms have been scheduled to be licensed to wind energy operators. For large scale adoption of windfarms, understandings of the interactions between windturbines and local weather system are hence becoming important. To address the interactions, we apply the weather research forecast (WRF) model to Fuhai, one of the wind farm areas offshore to the Changhua County.  The applicabilities and capabilities of the model will be inspected and the topics will include wind farm wakes, typhoon simulations. The results will be validated by comparison to the wind mast measurements and simplified theoretical models. Along the line, miscellaneous related topics will also be informally addressed.


   
 
 
 
   
Keynote:  EPSRC Tier-2 "Peta-5" System
Venue: NCHC, Hsinchu, Taiwan
Time: 2016 / 12 / 28, 10:00am
Speaker: Prof. Filippo Spiga
 

University of Cambridge

Filippo Spiga joined HPCS at the University of Cambridge in 2013. A graduate in Computer Science from the University of Milano-Bicocca, he completed his MSc thesis during a visiting period at the Edinburgh Parallel Computing Centre (EPCC), focussing on an early implementation of a mixed MPI-OpenMP strategy inside the Quantum ESPRESSO suite. Subsequently, he worked for research institutions/High Performance Computing centres (CINECA and INFN/CERN) and Enterprise R&D (T.J. Watson Research Center, IBM Research) as well as being part of wide multi-institutional collaborations (PRACE and EUAsiaGrid) spanning High Performance and Grid computing.  Prior to joining HPCS, he was Computational Scientist at the Irish Centre for High-End Computing (ICHEC) where he undertook research activities inside the EC-funded PRACE 1st Implementation Phase project’s Work-Package ‘Enabling Petascale Applications: Efficient use of Tier-0 systems’ and through the Sub-Task ‘Accelerator’ within the Task ‘Programming Techniques for High Performance Applications’. His main interests cover general High Performance Computing topics, especially mixed MPI plus OpenMP paradigm, GP-GPU programming, application porting and, recently, low-power microarchitecture for scientific computation.


 

   
 
 
 
 
 
Keynote: Some Recent Advances in the Evolutionary Algorithms for the Optimization Problems in Discrete and Continuous Domains
Venue: NCHC, Hsinchu, Taiwan
Time: 2016 / 9 / 19, 10:00am (Taiwan Time)
Speaker: Prof. Frederick K.H. Phoa
  Acadamia Sinica, Taiwan

Abstract:

Nature-inspired metaheuristic algorithms, like the particle swarm optimization and many others, enjoy fast convergence towards optimal solution via a series of inter-particle communication. Such methods are common for the optimization problem in engineering, but few in statistics problem. It is especially difficult to implement in some fields of statistics as the search spaces are mostly discrete, while most metaheuristic methods require continuous search domains. This talk introduces a new method called the Swarm Intelligence Based (SIB) method for optimization in experimental design problems within both discrete and continuous spaces. In specifi c, the supersaturated designs (SSD) , Latin hypercube designs (LHD) and minimum energy designs (MED) are optimized. The SSD optimization is served as a demonstration of the standard framework of the SIB method. The LHD optimization shows how the framework is extended to multiple objective problems. The MED optimization shows how the SIB method is used in continuous domain and how efficient if the initial particles are preselected. Ones can modify their own algorithms from the standard SIB method to tackle their own problems, like community detection in social network analysis, change-point analysis in functional analysis, feature selection in classi fication problem, etc.

Webinar Information: The webinar was cancelled due to some technical problem.

 

   
 
 
 
 
 
Keynote: Architecture Spatial Grammars
Venue: NCHC, Taichung, Taiwan
Time: 2016 / 8 / 29, 10:00am
Speaker: Prof. Tung-Ju Hsieh
  National Taipei University of Technology

Abstract:

Modeling is an important research field in computer graphics. Based on spatial grammars, we developed a HTML5 visualization interface for modeling of Chinese traditional architectures. Spatial grammars are implemented using Object-Oriented design patterns. With the help of spatial grammars, modeling of wooden structures no longer needs to be done manually. Instead, our system can generate traditional architectures automatically.

 
 

   
 
 
 
 
 
Keynote: AirBox: a participatory ecosystem for PM2.5 monitoring
Venue: NCHC, Hsinchu, Taiwan (with Webinar)
Time: 2016 / 8 / 22, 10:00am (Taiwan Time)
Speaker: Dr. Ling-Jyh Chen
  Acadamia Sinica, Taiwan

Abstract:

In this talk, we present a participatory urban sensing project for PM2.5 monitoring. The key feature of this project is its open architecture, which is based on the principles of open hardware, open source software, and open data. By working closely with government authorities, industry partners, and maker communities, we have constructed an effective ecosystem for participatory urban sensing of PM2.5 particles. Based on our deployment achievements to date, we provide a number of data services to improve environmental awareness, trigger on-demand responses, and assist future government policymaking. The project is highly scalable and sustainable with the potential to facilitate the Internet of Things, smart cities and citizen science in the future.

Webinar Information: Sign up here (free.) The link to join the webinar will be included the registration confirmation email.

 

   
 
 
 
 
 
Keynote: Communication Behavior on Social Media Systems
Venue: NCHC, Hsinchu, Taiwan
Time: 2016 / 7 / 29, 10:00am
Speaker: Prof. S. Felix Wu
  University of California, Davis, USA

Abstract:

Social Media is changing many different aspects of our lives. By participating in online discussions, people exchange opinions on various topics or contents, shape their stances, and gradually build their own characteristics. In this talk, we will present a framework for identifying online user characteristics and understanding the formation of user deliberation and bias in online newsgroups. Under the SINCERE.se (Social Interactive Networks: Conversation Entropy Ranking Engine), we have designed a dynamic user like graph model to recognize user deliberation and bias automatically in online newsgroups. We evaluated our identication results with linguistic features and implemented this model under SINCERE as a real-time service. By applying this model to large online newsgroups, we study the influence of early discussion context on the formation of user characteristics. Our conclusion is that the formation of user deliberation and bias is a product of situations, not simply dispositions: confronting disagreement in unfamiliar circumstances promotes more consideration of different opinions, while recurring conflict in familiar circumstances evokes close-minded behavior and bias.


   
 
 
 
Keynote:        - Social Media User Opinion and Leadership Mining
- A Communication and Tracking Ontology Development for Large Scale Earthquake Relief
Venue: NCHC, Hsinchu, Taiwan
Time: 2016 / 7 / 20, 11:00am
Speaker: Prof. Yun-Heh Jessica Chen-Burger
  Heriot-Watt University, UK
     

   
 
 
 
 
 
Keynote: Earthquake & Mountain Building
Venue: NCHC, Hsinchu, Taiwan
Time: 2016 / 7 / 20, 10:00am
Speaker: Prof. Jian-Cheng Lee
  Institute of Earth Sciences, Acadamia Sinica, Taiwan