Graduate School of Information Science, NAIST
Spring Seminar
Feb. 26-28, 2018

Spring Seminar 2018 will be held on the Graduate School of Information Science, NAIST, on February 26-28. You can experience the cutting-edge research on Information Science during this Spring Seminar.

We are looking forward to your application!

Date	Feb. 26 - 27, 2018, or Feb. 26 - 28, 2018 (Depend on the topics)
Venue	Graduate School of Information Science, NAIST (Takayama 8916-5, Ikoma, Nara 630-0192, Japan)
Intended audience	Education higher than undergraduate including non-academic applicants who are planning to become IS students. If you are not a candidate, please apply the Lab tour
Capacity	Depends on each theme (please check the table below). If the number of applicants exceeds the capacity, a selection process will be done by the corresponding laboratory.
Admission fee	FREE! However, we don't cover any travel or accommodation costs.
Application form	Closed Confirm the assignment
Contact us	Spring Seminar Committee ss1802[at]is.naist.jp

What's new

2018.2.7 Theme assignment notification email is sent.
2018.1.27 Application form is closed
2017.12.11 Application is started
2017.12.4 Website is open

Schedule

Feb. 26 Mon.
09:20 Registration (IS L1 lecture room)
09:30 - 10:00 Introduction of NAIST and the entrance examination (IS L1 lecture room)
10:00 - 11:00 Introduction of CICP project
11:00 - 17:00 Seminar (Lab.)
17:00 End
Feb. 27 Tus.
09:20 - 16:45 Seminar (Lab.)
16:50 - 17:20 Ceremony (IS L1 lecture room)
Feb. 28 Wed.
09:20 - 17:00 Seminar (Lab.)

Themes

1. Introduction and Programming of Non-Neumann Computers

Laboratory:	Computing Architecture
Summary:	According to the end of miniaturization of CMOS semiconductors, it is said that the performance improvement of conventional Von Neumann type computers (CPU and GPU) will stop. You will explore programming and execution of non-Von Neumann type computers such as aproximate analog computers and systolic array type computers which are promissing architecture for future performance improvement of computers.
Date:	3 days (2/26 - 28)
Capacity:	4
Qualification:	Programming experience
Introduction:	slideshare

2. Google cannot answer! How to make the fastest Deep Learning platform?

Laboratory:	Computing Architecture
Summary:	Machine Learning has become popular in wide variety of field in our society. Many accelerators for Deep Learning, which is one of Machine Learning architecture, are proposed. To make the fastest Deep Learning platform, you need to understand inside of the Deep Learning and run it on several kinds of computers, which include GTX1080TiOCx4. Then you will find the answer!
Date:	2 days (2/26 - 27)
Capacity:	4
Qualification:	Programming experience

3. Be a Young Researcher! Developing Wireless Communication Transceiver for IoI system

Laboratory:	Computing Architecture
Summary:	To develop the smart city or smart healthcare system, we need a large amount of sensors that measure data (such as temperature, heartbeat rate, etc) and then send data to server wirelessly. In this sermina, we will study about wireless communication system for IoT sensors.
Date:	2 days (2/26 - 27)
Capacity:	5
Qualification:

4. Why are FPGAs' performance different? But they are the same.

Laboratory:	Dependable System Laboratory
Summary:	FPGA is an integrated circuit designed to be configured by a designer. Recently, FPGAs have been widely utilized for big data analytics, financial transaction, machine learning accelerator, and so on. In this seminar, we will provide two FPGAs whose performances are different but they are the same type. With designing ring oscillators on the FPGAs, we have applicants consider the reasons of the difference between those performances from measurement and circuit simulation.
Date:	2 days (2/26 - 27)
Capacity:	2
Qualification:	Nothing

5. Algorithm design toward fault-tolerant systems

Laboratory:	Dependable System
Summary:	Most existing systems, such as the Internet, clouds, and IoTs, are distributed systems, which consist of many computers that can communicate with each other. In such systems, it is inevitable that some computers will become faulty. In this seminar, we will design fault-tolerant algorithms, which can work correctly in distributed systems with some faults.
Date:	2 days (2/26 - 27)
Capacity:	3
Qualification:	None.

6. Algorithm design toward molecular robots

Laboratory:	Dependable System
Summary:	Recently DNA-based sensors, actuators, and logic gates have been developed, and now molecular robots, which are composed of these materials, are also under development. Since molecular robots are very weak compared to common robots, we need new algorithms to control molecular robots. In this seminar, we will design algorithms to make multiple molecular robots perform computation cooperatively.
Date:	2 days (2/26 - 27)
Capacity:	3
Qualification:	None.

9. Construction of a Parallel Distributed Learning System

Laboratory:	Mobile Computing Laboratory
Summary:	Mobile agents are computer software to execute processes on computers through a network. In addition, recently machine learning has been attracted public attention. In this seminar, the participants will construct a mobile agents-based parallel distributed learing system using a development platform, program library, and several devices such as the Raspberry Pi. The participants will confirm that mobile agents learn, run, and move through a network.
Date:	3 days (2/26 - 28)
Capacity:	3
Qualification:	none
Introduction:	slideshare

10. Simulation: Theory and Practice

Laboratory:	Mobile Computing Laboratory
Summary:	The goal of this project is to gain the ability of developing customized simulators. The project involves learning simulation theory (elements of probability, generating random variables and discrete event simulation approach, etc.) and simulation programming practice.
Date:	2 days (2/26 - 27)
Capacity:	4
Qualification:	Experience in C/C++/Java programming

11. Ingredients of Program

Laboratory:	Software Engineering Laboratory
Summary:	A new program is rarely created from scratch. It often includes various program elements extracted from textbooks, web sites, and existing programs. Ingredients of a program may indicate features, performance characteristics, and potential problems of the program; such properties might be estimated without source code reading. In this seminar, we construct a system that infers ingredients of a program using a technique to detect program copies. The seminar enables participants to analyze software development data using programming language analysis and pattern mining techniques.
Date:	3 days (2/26 - 28)
Capacity:	3
Qualification:	Experience in programming
Introduction:	slideshare

12. Software Development Bot ~Toward Automatic Software Development~

Laboratory:	Software Engineering Lab
Summary:	By evolving AI and machine learning techniques, various manual tasks will be switched automatic task. In software development field, such movement is coming. Nowaday, developers implement software based on the requirements from users. By using smart machines, software development will be an automatic task. In this seminar, we achieve an automatic software development system by supporting their communication with BOT such as Siri and LineBot. Finally, you study software development approach and bot development in this seminar.
Date:	2 days (2/26 - 27)
Capacity:	5
Qualification:	Programming experience. Even if you don't have experience for software development, that is fine.
Introduction:	slideshare

13. Software Data Mining using the Jupyter Notebook

Laboratory:	Software Engineering
Summary:	We will work on data analysis, visualization, and machine learning using the Jupyter Notebook. Let's mine real software development data to find useful knowledge!
Date:	2 days (2/26 - 27)
Capacity:	3
Qualification:	Programming experience

14. Virtual network programing for Cloud computing

Laboratory:	Software Design and Analysis
Summary:	In this seminar, we will learn about virtual network programming, which is an emerging network technology for Cloud infrastructures. Cloud computing has been actually brought on by server virtualization, but for the next step, network virtualization has been also focused on. SDN (Software Defined Network) technology, introducing programmability into network infrastructures, has therefore gathered a lot of attention. We will learn how to program virtual networks using OpenFlow, a typical implementation of SDN.
Date:	2 days (2/26 - 27)
Capacity:	3
Qualification:	Basic programming skills. Experience in Ruby is preferred.
Introduction:	slideshare

17. Dialogue policy learning based on Q-learning

Laboratory:	Augmented Human Communication Laboratory
Summary:	Learn Q-learning, a learning algorithm of reinforcement learning, and apply the algorithm for the learning of decision making policy of dialogue systems.
Date:	2 days (2/26 - 27)
Capacity:	3
Qualification:	Basic programming skills using Python

18. Machine Translation using Neural Networks

Laboratory:	Augmented Human Communication Laboratory
Summary:	Participants will learn basics of machine translation techniques using neural networks and conduct some quick experiments to see its ability.
Date:	2 days (2/26 - 27)
Capacity:	2
Qualification:	Experience on programming in Python and Unix command line UI

19. Introduction to machine learning and its application to EEG signals

Laboratory:	Augmented Human Communication Laboratory
Summary:	We present a introduction to EEG data recording and EEG signal processing. Additionally, we learn machine learning techniques to detect human psychological states from EEG.
Date:	2 days (2/26 - 27)
Capacity:	2
Qualification:	Beginners are welcome.

20. Understanding Human Speech with Automatic Speech Recognition System based on Deep Learning

Laboratory:	Augmented Human Communication Laboratory
Summary:	Let's develop a machine that can automatically recognize natural spoken language. We'll start from learning the basic technology (e.g., "What is human speech from machines point of view?", "What challenges in developing speech recognition?", etc). Finally, we'll work together on developing speech recognition system that understand human speech based on deep learning.
Date:	2 days (2/26 - 27)
Capacity:	2
Qualification:	Experience on programming in Python and Unix command line UI

21. Learning wireless communications via computer simulations

Laboratory:	Network Systems Lab.
Summary:
Date:	3 days (2/26 - 28)
Capacity:	3
Qualification:

22. Experiencing the world of vision augmentation using a video see-through HMD

Laboratory:	Cybernetics and Reality Engineering
Summary:	In recent years, a research field called human augmentation that empowers human abilities by science and technology has been actively studied. As an introduction to it, the participants of this seminar will develop a vision augmentation system that modulates the appearance of the surroundings in a variety of manners, by editing live video of a stereo camera and observing it through a head mounted display. How convenient or fun the system becomes will depend on your imagination.
Date:	3 days (2/26 - 28)
Capacity:	2
Qualification:	Experience in C or C++ is preferred

23. Implementing Telexistence system

Laboratory:	Cybernetics and Reality Engineering
Summary:	Work or showing some presence conveyed from a remote site is called Telexistence. As one kind of a boot camp, the seminar participants are going to add some functions and extra role to a movable robot equipped with a camera. A telexistance system you made may become for remote repair/fix or telecommunication robot. That depends on work you conducted.
Date:	3 days (2/26 - 28)
Capacity:	2
Qualification:	Experience in C or C++ is preferred

24. Implementation of a Basic Diminished Reality Method

Laboratory:	Cybernetics and Reality Engineering
Summary:	You implement a basic method for Diminished Reality (DR), which visually removes real objects from a video in real time. The target objects to be removed this time are Augmented Reality (AR) markers. You can experience AR games and furniture arrangement simulation without seeing AR markers by simultaneously removing AR markers and adding virtual objects in a video.
Date:	3 days (2/26 - 28)
Capacity:	2
Qualification:	Experience in C or C++ is preferred

26. Augmented Reality Application Development with Microsoft HoloLens

Laboratory:	Interactive Media Design
Summary:	Microsoft HoloLens presents a unique opportunity to create immersive Augmented Reality (AR) experiences that diffuse the border between reality and computer graphics. In this seminar, you will learn how to develop simple AR applications for the Microsoft HoloLens and apply this knowledge to create your own AR experience that can be shared with other participants. As this seminar is very programming heavy, extensive experience and understanding of programming, Unity in particular is a must.
Date:	2 days (2/26 - 27)
Capacity:	5
Qualification:
Introduction:	slideshare

27. Making photorealistic computer graphics from photometric measurement

Laboratory:	Optical Media Interface
Summary:	Photorealistic computer graphics is an image of computer modeled scenes with a quality as close to real scene as possible. One of the key techniques in it is measuring the photometric properties of a real object based on computer vision technique. In this seminar, the participants can learn computer vision technique to capture the realisticity in real object and computer graphics technique to apply it onto computer modeled scenes.
Date:	2 days (2/26 - 27)
Capacity:	4
Qualification:	Programming experience in C/C++
Introduction:	slideshare

28. Bio-inspired robot control and AI

Laboratory:	Intelligent System Control
Summary:	Recently, robot control and artificial intelligence (AI) are attracting attention. Sometimes they may sound difficult, but there are many intuitive aspects that are inspired by animals. We study several techniques learned from their skill and flexibility. In practical training, we challenge robot motion control using reinforcement learning, which is one of the AI. Through this seminar, you will feel excellence of animals and possibility of robot.
Date:	2 days (2/26 - 27)
Capacity:	4
Qualification:	Programming experience
Introduction:	slideshare

31. IoT application development based on Raspberry Pi

Laboratory:	Large-scale systems management
Summary:	The Internet of Things (IoT), where a variety of things (e.g., people, sensors, mobile phones) can interact with one another through an Internet-like infrastructure, serves a fundamental architecture for a wide range of important applications such as e-health, smart home and environmental monitoring. In this project, we will use Raspberry Pi and some sensors like temperature and humidity sensors to develop a simple IoT application.
Date:	2 days (2/26 - 27)
Capacity:	3
Qualification:	Programming experience
Introduction:	slideshare

32. Understanding and Generation of Medical Images Using Deep Learning

Laboratory:	Imaging-based Computational Biomedicine
Summary:	This seminar provides an opportunity to work with medical images and deep learning algorithms for image recognition and generation such as Convolutional Neural Network (CNN) or Generative Adversarial Network (GAN). Specifically, the potential projects include detection of anatomical landmarks in CT and MR images or generation of CT image from MR image. The attendant will cultivate practical programming skill and problem-solving skill through implementation of those algorithms.
Date:	3 days (2/26 - 28)
Capacity:	3
Qualification:	Programming experience is a plus

33. Analysis of Musculoskeletal Structure using MR and Ultrasound Imaging

Laboratory:	Imaging-based Computational Biomedicine
Summary:	In this seminar, the attendee will operate two medical image acquisition systems, 1) an MRI that is capable of acquiring images in the standing position, and 2) an ultrasound imaging system with three-dimensional reconstruction capability, to analyze musculoskeletal anatomy and function. First, the attendee will learn the basic imaging principles and the operation procedure of those imaging devices, then actually perform the acquisition, obtain images, and apply several analysis tools.
Date:	3 days (2/26 - 28)
Capacity:	3
Qualification:	Programming experience is a plus

34. Practice data analysis and modeling of gene expression and metabolic controls in a cell

Laboratory:	Computational Systems Laboratory
Summary:	Learn the method of system identification using a model of the molecular system for regulation of cell fate (cell proliferation and cell differentiation) from experimental data, and understand how a cell controls its own fate from a systematic point of view. Or, from the data of the concentration of the metabolite in the cell and expression of the genes, learn the statistical methods for analysis of the network of the gene function in the cell and understand how the cell responds to the environments.
Date:	3 days (2/26 - 28)
Capacity:	3
Qualification:	Basic programing experience

35. Motion Analysis using Human Modeling Technology

Laboratory:	Robotics
Summary:	We analyze human motion in the level of joint torque/muscle activities using human musculoskeletal model. To obtain the input to the model (e.g. human motion and forces), we use the motion capture system and force sensors.
Date:	2 days (2/26 - 27)
Capacity:	3
Qualification:	Programming experience
Introduction:	slideshare

Lab tour

Please visit Lab Tour.

Access

Please visit Access Map.

Accommodation

Please visit FAQ(in Japanese).

Handling of the Seminar when public transport services are suspended, etc.

1. Handling of the Seminar when public transport services are suspended
The Seminar will be cancelled when the services of the Kintetsu lines (Keihanna, Nara, and Kyoto) and/or Nara Kotsu Bus lines (routes serving Gakken Kita-Ikoma Sta., Gakuenmae Sta., and Takanohara Sta.) are suspended due to a major disaster, accident, etc. The table below shows the handling of the seminar when public transport services are restored.
2. Handling of the seminar when a weather warning is issued
The Seminar will be cancelled when an Emergency Warning and a storm(or snowstorm) warning is issued in Ikoma City, Nara City and the area including those cities. The table below shows the handling of the seminar when the warning is cancelled.

Status at 7:00 a.m./10:00 a.m.	Handling of the seminar
Public transport services are restored and the warning is cancelled at or before 7:00 a.m.	The Seminar are held for the whole day
Public transport services are restored and the warning is cancelled at or before 10:00 a.m.	The Seminar are held in the afternoon
Public transport services remain suspended and the warning remains in effect after 10:00 a.m.	The Seminar are cancelled for the whole day

Note: Information on the TV, Internet, etc. is used to check if public transport services are suspended/restored or a warning is issued/cancelled.

Graduate School of Information Science, NAIST Spring Seminar Feb. 26-28, 2018