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KAIST, Korea, Republic of

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5 Papers

Solving Sensor Void Problem in Uncontrolled Mobile Sensor Networks - Development of Mobile Sensor Database Systems

Topics: Programming and Middleware; Routing Techniques; Ad Hoc Networks

Authors: Soo Seok Park , Chong Sok Lim and Soon J. Hyun

Affiliation: KAIST, Korea, Republic of

Digital Object Identifier: 10.5220/0005228400470055

Proceedings of SENSORNETS 2015, ISBN: 978-989-758-086-4

Quick Abstract

Due to the random movement of sensor nodes in uncontrolled mobile sensor networks, the distribution of sensor nodes may not be uniform over the area of network coverage. Querying a target space in which mobile sensors are unavailable at the time of the data request will lead to no return of the result. In this paper, this problem is referred to as sensor void problem, which leads to difficulties in data management and application design activities. We address the sensor void problem and offer solutions with a location-aware time-constrained query processing strategy. The key idea of the proposed strategy is to allow mobile sensor nodes to keep track of time validity and target location matching checks for the execution of the queries received from the base station. Programmers can specify a certain degree of time sensitivity in their queries according to their applications’ semantics. We implemented the proposed mobile query processing scheme into our previously developed sensor database system. A performance evaluation shows how the proposed query processing strategy effectively handles the sensor void problem with various parameters of an uncontrolled mobile sensor network.

Related Ontology Subjects/Areas/Topics (7)

Ad Hoc Networks	Routing Techniques	Software and Architectures
Obstacles	Sensor Networks	Wireless Information Networks
Programming and Middleware

PERFORMANCE VERIFICATION OF THE HEAD/EYE INTEGRATED TRACKER

Topics: Image Processing; Vision, Recognition and Reconstruction; Human-Robots Interfaces; Sensor Fusion

Authors: Jeong-ho Kim ¹ , Dae-woo Lee ¹ , Se-jong Heo ² , Chan-gook Park ² , Kwang-yul Baek ³ and Hyo-choong Bang ³

Affiliations: ¹ Pusan National University, Korea, Republic of , ² Seoul National University, Korea, Republic of , ³ KAIST, Korea, Republic of

Digital Object Identifier: 10.5220/0003527801670172

Proceedings of ICINCO 2011, ISBN: 978-989-8425-75-1

Quick Abstract

This paper describes the development of an integrated head/eye tracker system. To obtain the position and attitude of a head, the sensor-fusion head tracker is used. The head tracker combines the result of the vision-based tracking and the IMU to increase the tracking accuracy. Five sets of IR LEDs are installed on the surface of a helmet, and the IMU is installed inside the helmet; each set of LEDs comprises three LEDs positioned at the vertices of a triangle. IR LEDs are used on the eye-tracker system since they are more suitable than visible LEDs for cognizing the pupil. For the precise tracking of the pupil, three methods—intensity-based detection method, shape-based detection method, and sequential mean-shift method—are used. The gaze vector is calculated by using the obtained position of the pupil, focal length, and gaze-point equation. Finally, we verify whether this integrated system can be used in practical military equipment.

Related Ontology Subjects/Areas/Topics (7)

Human-Robots Interfaces	Robotics and Automation	Signal Processing, Sensors, Systems Modeling and Control
Image Processing	Sensors Fusion	Vision, Recognition and Reconstruction
Informatics in Control, Automation and Robotics

SPARSE BUMP MODELING OF MILDAD PATIENTS - Modeling Transient Oscillations in the EEG of Patients with Mild Alzheimer’s Disease

Authors: François-Benoit Vialatte ¹ , Charles François Vincent Latchoumane ² , Nigel Hudson ³ , Sunil Wimalaratna ⁴ , Jordi Solé-Casals ⁵ , Jaeseung Jeong ² and Andrzej Cichocki ¹

Affiliations: ¹ Riken BSI, Japan , ² KAIST, Korea, Republic of , ³ Derriford Hospital, United Kingdom , ⁴ Radcliffe Infirmary, United Kingdom , ⁵ University of Vic, Spain

Digital Object Identifier: 10.5220/0002755104790484

Proceedings of Special Session on Neural Signals of Brain Disorde 2010/BIOSTEC, ISBN: 978-989-674-018-4

Quick Abstract

We explore the potential of bump modeling to extract transient local synchrony in EEG, as a marker for mildAD (mild Alzheimer’s disease). EEG signals of patients with mildAD are transformed to a wavelet timefrequency representation, and afterwards a sparsification process (bump modeling) extracts time-frequency oscillatory bursts. We observed that organized oscillatory events contain stronger discriminative signatures than averaged spectral EEG statistics for patients in a probable early stage of Alzheimer’s disease. Specifically, bump modeling enhanced the difference between mildAD patients and age-matched control subjects in the θ and β frequency ranges.This effect is consistent with previous results obtained on other databases.

A PATENT RETRIEVAL METHOD USING SEMANTIC ANNOTATIONS

Topics: Mining Text and Semi-Structured Data; Clustering and Classification Methods; Information Extraction

Authors: Youngho Kim , Jihee Ryu and Sung-Hyon Myaeng

Affiliation: KAIST, Korea, Republic of

Digital Object Identifier: 10.5220/0002310302110218

Proceedings of KDIR 2009/IC3K, ISBN: 978-989-674-011-5

Quick Abstract

Automatic annotation of key phrases for their semantic categories can help improving effectiveness of a variety of text-based systems including information retrieval, summarization, question answering, etc. In this paper, we exploit semantic annotations for patent retrieval (i.e., patent invalidity search). We first annotated key phrases for two semantic categories, PROBLEM (e.g. “pattern matching”) and SOLUTION (e.g. “dynamic programming”) in a patent document, which constitute a particular technology. Semantic clusters are formed by grouping patent documents with the same PROBLEM or SOLUTION tag. A language modelling approach to information retrieval is extended to consider the semantically oriented clusters as well as document models. Our retrieval evaluation of the proposed approach using a collection of United States patent documents shows a 22% improvement over the baseline, a smoothed language modelling approach without using the semantic annotations.

Related Ontology Subjects/Areas/Topics (7)

Artificial Intelligence	Knowledge Discovery and Information Retrieval	Mining Text and Semi-Structured Data
Clustering and Classification Methods	Knowledge-Based Systems	Symbolic Systems
Information Extraction

MODELLING THE UNEXPECTED BEHAVIOURS OF EMBEDDED SOFTWARE USING UML SEQUENCE DIAGRAMS

Topics: User Modeling; Real-Time Software

Authors: Hee-jin Lee ¹ , In-Gwon Song ¹ , Sang-Uk Jeon ¹ , Doo-Hwan Bae ¹ and Jang-Eui Hong ²

Affiliations: ¹ KAIST, Korea, Republic of , ² School of Electrical & Computer Engineering, Chungbuk National University, Korea, Republic of

Digital Object Identifier: 10.5220/0001314202570262

Proceedings of ICSOFT 2006, ISBN: 978-972-8865-69-6

Quick Abstract

Real-time and embedded systems may be left on unexpected states because system’s user can generate some incident events in various conditions. Although the UML 2.0 sequence diagrams recently incorporate several modelling features for embedded software, they have some difficulties to depict unexpected behaviours of embedded software conveniently. In this paper, we propose some extensions to UML 2.0 sequence diagrams to model unexpected behaviours of embedded software. We newly introduce notations to describe exceptions and interrupts. Our new extensions make the sequence diagrams simple and easy to read in describing such unexpected behaviours. These features are explained and proved with an example of call-setup procedure of CDMA mobile phone.

Related Ontology Subjects/Areas/Topics (6)

Enterprise Software Technologies		Software Engineering		Web Information Systems and Technologies
Real-Time Software		User Modeling		Web Interfaces and Applications

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