• The Transactions of the Korea Information Processing Society
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• v.2 no.3
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• pp.343-353
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• 1995

The path navigation of autonomous guided vehicle(AGV) or autonomous mobile robot(AMR) assumed that the environment was completely known and the obstacles were fixed. So that, in an environment only partly known or not known at all, the previous works were not successful since the path exploration techniques involved in the work were neither directly applicable nor extensible. In order to improve such problems, this paper was adopted the quadtree technique and proposed the algorithm for an optimal path planning autonomously in an environment and proved a validity through a simulation.

• Journal of Information Processing Systems
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• v.8 no.1
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• pp.1-20
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• 2012

The most important criterion for achieving the maximum performance in a wireless mesh network (WMN) is to limit the interference within the network. For this purpose, especially in a multi-radio network, the best option is to use non-overlapping channels among different radios within the same interference range. Previous works that have considered non-overlapping channels in IEEE 802.11a as the basis for performance optimization, have considered the link quality across all channels to be uniform. In this paper, we present a measurement-based study of link quality across all channels in an IEEE 802.11a-based indoor WMN test bed. Our results show that the generalized assumption of uniform performance across all channels does not hold good in practice for an indoor environment and signal quality depends on the geometry around the mesh routers.

• Journal of Information Processing Systems
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• v.8 no.3
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• pp.445-458
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• 2012

Image feature extraction is one of the basic works for biometric analysis. This paper presents the novel concept of application of ridgelets for iris recognition systems. Ridgelet transforms are the combination of Radon transforms and Wavelet transforms. They are suitable for extracting the abundantly present textural data that is in an iris. The technique proposed here uses the ridgelets to form an iris signature and to represent the iris. This paper contributes towards creating an improved iris recognition system. There is a reduction in the feature vector size, which is 1X4 in size. The False Acceptance Rate (FAR) and False Rejection Rate (FRR) were also reduced and the accuracy increased. The proposed method also avoids the iris normalization process that is traditionally used in iris recognition systems. Experimental results indicate that the proposed method achieves an accuracy of 99.82%, 0.1309% FAR, and 0.0434% FRR.

• Journal of Information Processing Systems
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• v.8 no.3
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• pp.421-436
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• 2012

Different types of fingerprint detection algorithms that are based on extraction of minutiae points are prevalent in recent literature. In this paper, we propose a new algorithm to locate the virtual core point/centroid of an image. The Euclidean distance between the virtual core point and the minutiae points is taken as a random variable. The mean, variance, skewness, and kurtosis of the random variable are taken as the statistical parameters of the image to observe the similarities or dissimilarities among fingerprints from the same or different persons. Finally, we verified our observations with a moment parameter-based analysis of some previous works.

• Proceedings of the Korea Information Processing Society Conference
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• 2014.11a
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• pp.1136-1138
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• 2014

Recently, predicting personality with the help of smartphone usage is become very interesting and attention grabbing topic in the field of research. At present there are some approaches towards detecting a user's personality which uses the smartphones usage data, such as call detail records (CDRs), the usage of short message services (SMSs) and the usage of social networking services application. In this paper, we focus on the predicting user attitude based on MBTI theory by using their smartphone usage data. We used Naïve Bayes and SVM classifier for classifying user personalities by extracting some features from smartphone usage data. From analysis it is observed that, SVM classifier works well as compared to Naïve Bayes.

• The Transactions of the Korea Information Processing Society
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• v.3 no.3
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• pp.523-534
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• 1996

This paper presents the design technique and the performance evaluation of RPC(remote procedure call) algorithm using queue on the micro computer, works tationand PC's underUNIX SystemV, The existingRPC algorithmis aftercalling remote Procedure, it must has be returned in order torun next instructions. But if it is not done so, it must wait indefinitely. To solve this problem, a message transfer method which used queue is adopted. And the improved RPC algorithm that can process in sequence is designed and implemented.

• Proceedings of the Korea Information Processing Society Conference
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• 2002.04b
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• pp.1077-1080
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• 2002

본 논문은 다양한 홈네트워크의 미들웨어간의 연동 서비스를 위한 구조를 설명한다. 최근 홈네트워킹 개념이 정립됨에 따라 다양한 매체(IEEE1394, USB, PLC, TP, IRDA, BLUETOOTH 등)를 지원하는 다양한 정보가전 디바이스가 나오고 있고 이들을 제어하기 위한 Jini, Havi, LonWorks 등의 홈네트워크 미들웨어가 거론되고 있다. 홈 내에 다양한 미들웨어를 지원하는 정보기기, 백색가전 제어기기, AV 기기 등의 디바이스들 사이에 가능한 서비스를 미리 살펴보고 이를 지원하기 위한 환경을 제안한다. 본 논문에서 설계한 홈네트워크 미들웨어 연동 서비스는 다양한 매체를 홈서버에서 수용하여 중앙 집중적인 연동 서비스가 가능하도록 구축하였다.

• Proceedings of the Korea Information Processing Society Conference
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• 2014.04a
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• pp.834-835
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• 2014

Determination of banknote fitness is an important and challenging task, which classifies used banknotes whether are suitable for recirculation or should be replaced by new ones. Many researches on solving this problem have been conducted on various types of banknote, based on using optical sensors and discrimination algorithms. In this study, we give a review on the previous works on banknote fitness classification.

• Proceedings of the Korea Information Processing Society Conference
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• 2019.10a
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• pp.149-152
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• 2019

As pet- one-person households increase, conditions must be developed to be easy to manage, but are still slow. In the case of single-person households, they have difficulty in feeding their food in case of unexpected situations such as appointments and night shifts. The above works can be distributed remotely regardless of time and place through the application. In addition, the addition of automatic booking service makes it possible to provide more convenience and improve the conditions.

• Proceedings of the Korea Information Processing Society Conference
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• 2019.05a
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• pp.68-71
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• 2019

하이퍼바이저 Xen 은 처음 개발되었을 때부터 현재까지 크레딧-스케줄러를 이용하고 있다. 크레딧-스케줄러는 CPU 이용률을 높이기 위해 디자인되어 있으며 효율적인 I/O 처리를 위해 부스트라는 개념을 도입하였지만, 부스트로 인하여 공정성이 깨질 수 있는 문제를 가지고 있다. 이 논문에서는 I/O 중심 처리 환경에서 크레딧-스케줄러의 불공정성을 증명하였으며, 실험을 통해 네트워크 성능에서 최대 약 60%의 차이를 보임을 확인할 수 있었다.