• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.8 no.6
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• pp.131-140
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• 2009

A key challenge for Wireless Body Area Network (WBAN) is to maximize the network lifetime with power-efficient and flexible duty cycling techniques on energy-constraint sensor nodes. In this paper, we propose a novel power-efficient MAC protocol for WBAN that accommodates normal, emergency, and on-demand traffic in a reliable manner. This protocol supports two wakeup mechanisms, a traffic-based wakeup mechanism, which accommodates normal traffic by exploiting the node's traffic patterns, and a wakeup radio mechanism, which accommodates emergency and on-demand traffic by using a wakeup radio. It can be seen that the proposed protocol not only improves the lifetime of WBAN but also provides a reliable method to handle sporadic events. Simulation results show that the proposed protocol outperforms WiseMAC in terms of low-power consumption and delay.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.9 no.3
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• pp.30-40
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• 2010

The freeway congestion is largely generated by a mainline spillover of the exit ramp queue. So it is necessary to study for modeling of the phenomenon and applying the model. In this study, the authors evaluated applicability of the Supply-Demand model, which can express traffic flow for the freeway by applying flexibly supply and demand curves for capacity of the freeway. First the authors proposed methods processing input data required in the Supply-Demand model, such as sending & receiving functions and time-varying capacity constraints for the freeway mainline. After modeling the Supply-Demand application model, the authors applied the model to the site including congested Hongeun exit ramp in Seoul Ring-road, and improved the model by adjusting application techniques and calibrating parameters. The result of the analysis showed that the Supply-Demand model yielded a queuing pattern and queue location similar to them observed in the field data, and applicability of the Supply-Demand model was varified.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.8 no.6
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• pp.88-97
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• 2009

As the development of wireless techniques, transmission technology of body area network plays an important role in realizing a welfare society by combining IT and BT when applying to vehicles. Off-body WBAN (Wireless Body Area Network) systems for video data transmission require low battery consumption and high data rate. To satisfy the requirement, UWB has been considered as a promising candidate for high rate WBAN. This paper introduces an antenna selection technique for ultra-wideband based off-body WBAN system with low complexity. In this paper, we propose an antenna selection scheme using non-coherent receiver for off-body high data rate WBAN system. The proposed receiver antenna selection method takes advantage of the characteristic of BPPM (Binary Pulse Position Modulation). With the property of BPPM, this scheme calculates the approximate SNR of the received signal with non-coherent receiver.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.17 no.4
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• pp.14-25
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• 2018

In recent years, it has become technically easier to explain factors related with traffic accidents in the Big Data era. Therefore, it is necessary to apply the latest analysis techniques to analyze the traffic accident data and to seek for new findings. The purpose of this study is to compare the predictive performance of the negative binomial regression model and the deep learning method developed in this study to predict the frequency of traffic accidents in expressways. As a result, the MOEs of the deep learning model are somewhat superior to those of the negative binomial regression model in terms of prediction performance. However, using a deep learning model could increase the predictive reliability. However, it is easy to add other independent variables when using deep learning, and it can be expected to increase the predictive reliability even if the model structure is changed.

• 한국HCI학회:학술대회논문집
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• 2007.02a
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• pp.643-648
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• 2007

유비쿼터스 컴퓨팅 기술이 문화예술 분야에 접목되면서 수동적이었던 전시 관람 형태가 능동적인 관람 형태로 바뀌고 있다. 특히, 지능형 가이드 시스템의 등장은 기존의 관람 문화를 크게 변화시켰다. 지능형 가이드 시스템이란 사용자에게 전시물에 대한 정보 및 전시장의 위치 정보를 제공해주는 시스템을 말한다. 현재 상용화되고 있는 지능형 가이드 시스템은 크게 휴대폰, PDA, 게임기 등의 휴대형 장치 기반의 가이드 시스템과 HMD와 같은 착용형 장치 기반의 가이드 시스템으로 나뉠 수 있다. 본 논문에서는 이러한 현재 상용화된 시스템들의 한계(예를 들어, 특정 장치를 직접 착용 혹은 소지해야 함)를 서술하고, 이를 보완하는 프로젝터 기반의 가이드 시스템에서 더 나아가 임의의 공간에 원하는 전시물 구성, 설치 등을 신속, 정확하게 수행하는 지능형 가이드 시스템을 제안한다. 프로젝터 기반의 지능형 가이드 시스템은 기반 기술로 지능형 프로젝션 기술을 필요로 하는데, 이는 임의의 환경에서 임의의 위치에 다수의 사용자에게 고화질, 대화면 영상 정보를 제공해 준다. 그러나, 기존의 지능형 프로젝션 기술은 성능 및 안정성을 위해 대부분 가시적인 패턴 및 마커를 사용하는데, 이는 사용자에게 제공되는 정보를 관찰하는 데 방해가 될 수 있다. 본 논문에서는 사용자의 관점에서 유용한 비간섭 지능형 프로젝션 기술을 사용한다. 즉, 본 논문에서는 마커나 패턴을 사용함으로써 정확성이나 안정성은 보장하지만, 마커나 패턴을 은닉하여 사용자의 눈에 띄지 않도록 함으로써, 사용자는 원하는 정보를 아무런 방해 없이 제공받을 수 있다. 제안된 시스템을 미술 작품 감상을 위한 가이드 시스템으로 적용해 본 결과, 사용자는 자유로운 환경에서 자신의 위치나 작품에 대한 설명을 대화면으로 제공받으면서, 편안하게 그림을 감상할 수 있었다.

• Journal of the Korean Institute of Intelligent Systems
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• v.15 no.2
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• pp.191-196
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• 2005

Although the technology for emotion recognition is important one which was demanded in various fields, it still remains as the unsolved problems. Especially, there is growing demand for emotion recognition technology based on racial image. The facial image based emotion recognition system is complex system comprised of various technologies. Therefore, various techniques such that facial image analysis, feature vector extraction, pattern recognition technique, and etc, are needed in order to develop this system. In this paper, we propose new emotion recognition system based un previously studied facial image analysis technique. The proposed system recognizes the emotion by using the fuzzy classifier. The facial image database is built up and the performance of the proposed system is verified by using built database.

• Journal of the Korean Institute of Intelligent Systems
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• v.15 no.1
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• pp.104-109
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• 2005

Context-awareness is an important element that can provide service of good quality according to users' surrounding environment and status in ubiquitous computing environment. Information gathering tools for context-awareness use small size mobile devices which have easy movement and a mobile agent in mobile device. Now, Mobile agents are consuming much times and expense to collect and recognize each users' context information. Therefore, needs research about structure for users' context information awareness in early time to reduce mobile agent's load. This paper proposes a P2P mobile agent structure that mikes filtering techniques and a P2P agent in mobile agent. The proposed structure analyzes each user's context information in same area, and groups users who have similar preference degree. Grouped users share information using a P2P mobile agent. Also this structure observes and learns to continue on users' action and service, and measures new interrelation.

• Journal of the Korean Institute of Intelligent Systems
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• v.11 no.5
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• pp.426-432
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• 2001

This paper is implementation of cellular automata neural network system using evolving hardware concept. This system is a living creatures'brain based on artificial life techniques. Cellular automata neural network system is based on the development and the evolution, in other words, it is modeled on the ontogeny and phylogney of natural living things. The phylogenetic mechanism are fundamentally non-deterministic, with the mutation and recombination rate providing a major source of diversity. Ontogeny is deterministic and local physics. Cellular automata is developed from initial cells, and evaluated in given environment. And genetic algorithms take a part in adaptation process. In this paper we implement this system using evolving hardware concept. Evolving hardware is reconfigurable hardware whose configuration si under the control of an evolutionary algorithm. We design genetic algorithm process for evolutionary algorithm and cells in cellular automata neural network for the construction of reconfigurable system. The effectiveness of the proposed system if verified by applying it to Exclusive-OR.

• Journal of the Korean Institute of Intelligent Systems
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• v.15 no.6
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• pp.655-660
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• 2005

This paper studied the feature parameters less affected by the emotional variation for the development of the robust speech recognition technologies. For this purpose, the effect of emotional variation on the speech recognition system and robust feature parameters of speech recognition system were studied using speech database containing various emotions. In this study, LPC cepstral coefficient, met-cepstral coefficient, root-cepstral coefficient, PLP coefficient, RASTA met-cepstral coefficient were used as a feature parameters. And CMS and SBR method were used as a signal bias removal techniques. Experimental results showed that the HMM based speaker independent word recognizer using RASTA met-cepstral coefficient :md its derivatives and CMS as a signal bias removal showed the best performance of $7.05\%$ word error rate. This corresponds to about a $52\%$ word error reduction as compare to the performance of baseline system using met - cepstral coefficient.

• Journal of the Korean Institute of Intelligent Systems
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• v.14 no.5
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• pp.545-550
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• 2004

The study of available genotypes (biodiversity analysis) in bacterial communities is of growing importance in several fields such as ecology, environmental technology, clinical diagnostics, etc. These culture-independent genotyping techniques, especially amplifying 16S rRNA genes, attempt to overcome some shortcomings of conventional cultivation method. Biodiversity analysis based on molecular technique were laborious for base-calling chromatogram, trimming primer sites, correcting strand directions, electing representative operation taxonomic units (OTU), etc. Also, biologists wanted intuitively to confirm results of the above processes. For making up these demands, we developed the web application based on Folder-Process-Filter (FPF) modeling with correspondence to classical Model-View-Controller model. The model of web application leads to keep virtues of simplicity and directness for development and management of the stepwise web interfaces. The web application was developed in Perl and CGI on Linux workstation. It can be freely accessed from http://home.pusan.ac.kr/～genome/tools/rat.htm.