• Journal of Information Processing Systems
• /
• v.1 no.1 s.1
• /
• pp.86-95
• /
• 2005

Location-based services or LBS refer to value-added service by processing information utilizing mobile user location. With the rapidly increasing wireless Internet subscribers and world LBS market, the various location based applications are introduced such as buddy finder, proximity and security services. As the killer application of the wireless Internet, the LBS have reconsidered technology about location determination technology, LBS middleware server for various application, and diverse contents processing technology. However, there are fears that this new wealth of personal location information will lead to new security risks, to the invasion of the privacy of people and organizations. This paper describes a novel security approach on open LBS service to validate certificate based on current LBS platform environment using XKMS (XML Key Management Specification) and SAML (Security Assertion Markup Language), XACML (extensible Access Control Markup Language) in XML security mechanism.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• v.11 no.4
• /
• pp.2038-2057
• /
• 2017

Gaussian learning is a new technology in the computational intelligence area. However, this technology weakens the learning ability of a particle swarm and achieves a lack of diversity. Thus, this paper proposes a vector Gaussian learning strategy and presents an effective approach, named particle swarm optimization based on vector Gaussian learning. The experiments show that the algorithm is more close to the optimal solution and the better search efficiency after we use vector Gaussian learning strategy. The strategy adopts vector Gaussian learning to generate the Gaussian solution of a swarm's optimal location, increases the learning ability of the swarm's optimal location, and maintains the diversity of the swarm. The method divides the states into normal and premature states by analyzing the state threshold of the swarm. If the swarm is in the premature category, the algorithm adopts an inertia weight strategy that decreases linearly in addition to vector Gaussian learning; otherwise, it uses a fixed inertia weight strategy. Experiments are conducted on eight well-known benchmark functions to verify the performance of the new approach. The results demonstrate promising performance of the new method in terms of convergence velocity and precision, with an improved ability to escape from a local optimum.

• Proceedings of the Korea Information Processing Society Conference
• /
• 2019.10a
• /
• pp.28-30
• /
• 2019

본 논문은 3차원으로 복원된 데이터를 원격지에 있는 홀로렌즈에 실시간으로 전달하기 위해 개발된 중계서버 시스템을 제안한다. 원격지에 있는 홀로렌즈를 위한 실시간 전송 시스템 구축을 위해서는 복원된 3차원 데이터의 압축 스트림을 복호화 해주는 중계서버 시스템이 필요하다. 이와 같은 3차원 데이터의 구조와 원격지에서 데이터를 전달 받는 홀로렌즈 환경을 고려하여 중계서버 시스템을 설계하고 구축 했다.

• Bulletin of the Korean Chemical Society
• /
• v.34 no.11
• /
• pp.3307-3311
• /
• 2013

A new fiber optical sensor was developed for the determination of 2,4-dichlorophenol (DCP). The sensor was based on DCP oxidation by oxygen with the catalysis of iron(III) tetrasulfophthalocyanine (Fe(III)PcTs). The optical oxygen sensing film with $Ru(bpy)_3Cl_2$ as the fluorescence indicator was used to determine the consumption of oxygen in solution. A lock-in amplifier was used for detecting the lifetime of the oxygen sensing film by measuring the phase delay change of the sensor head. The different variables affecting the sensor performance were evaluated and optimized. Under the optimal conditions (i.e. pH 6.0, $25^{\circ}C$, Fe(III)PcTs concentration of 0.62 mg/mL), the linear detection range and response time of the sensor are $1.0{\times}10^{-6}-9.0{\times}10^{-6}$ mol/L and 250 s, respectively. The sensor displays high selectivity, good repeatability and stability, and can be used as an effective tool in analyzing DCP concentration in practical samples.

• Journal of Information Processing Systems
• /
• v.13 no.4
• /
• pp.643-652
• /
• 2017

• Proceedings of the Korea Information Processing Society Conference
• /
• 2003.11b
• /
• pp.777-780
• /
• 2003

한국과학기술정보연구원 슈퍼컴퓨팅센터에서는 작년부터 그리드 테스트 베드를 운영하면서 축적된 기술을 바탕으로 금년 하반기부터 그리드 시범 서비스를 시행할 예정에 있다. 그리드 환경에서의 사용자 요금 부과를 위해서는 기존의 체계와는 다른 여러 가지 요소들을 고려해야 하는데, 본 고에서는 그리드 환경에 적합한 요금부과 프로그램을 설계하였다.

• Proceedings of the Korea Information Processing Society Conference
• /
• 2020.11a
• /
• pp.585-588
• /
• 2020

• International Journal of Fuzzy Logic and Intelligent Systems
• /
• v.4 no.1
• /
• pp.56-62
• /
• 2004

This research attempts to suggest a detecting method for cutting position of an object using the neural network, which is one of intellectual methods, and the digital image processing method. The extraction method of object information using the image data obtained from the CCD camera as a replacement of traditional analog sensor thanks to the development of digital image processing. Accordingly, this research determines the threshold value in binary-coding of an input image with the help of image processing method and the neural network for the real-time gray-leveled input image in substitution for lighting; as a result, a specific position is detected from the processed binary-coded image and an actual system designed is suggested as an example.

• Proceedings of the Korea Institute of Convergence Signal Processing
• /
• 2005.11a
• /
• pp.274-277
• /
• 2005

Panning is the way in which to realize a spatial sound in MIDI by moving sound images by the loudness of each channel. However, there is a limitation for the natural spatial sound. The HRTF (Head Related Transfer Function) has been widely known as one of the ways to realize spatial sound using the two channels, but it needs much processing power. It is very hard to implement a real time processing structure. In this paper, we propose an improved 3D sound model for the spatial sound location by changing the acoustic parameters. We could get a good result from the experiment with MIDI Pan and our Model.

• Proceedings of the Korean Society for Cognitive Science Conference
• /
• 2006.06a
• /
• pp.9-14
• /
• 2006

본고는 한국어 교육방식의 하나라고 할 수 있는 한국어 어휘를 대상으로 한문제 출제 방식에서 문제 은행식 출제 방식이 갖고 있는 여러 가지 문제점을 해소할 수 있는 하나의 방법으로서 한국어 어휘 학습 시스템을 위한 자동문제 생성 기술을 제시한다. 먼저 기존 한국어 어휘 문제의 문항 분석 결과를 바탕으로 8가지 어휘력 평가 유형 및 각 유형별 자동 문제 생성 패턴을 구축하고, 한국어 어휘에 대한 풍부한 정보를 담고 있는 국어사전을 기반으로 한 자동 한국어 어휘 문제 생성 기술을 제시한다.