• Convergence Security Journal
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• v.14 no.5
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• pp.57-64
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• 2014

Beginning in 2000, domestic large hospital based integrated health information system has been developed from order communication system to electronic medical record system. However, today's advanced medical information system is integrated with unit of the system because user needs is complex and various. And, the problem is authority management of health information system in complex systems of large size hospital. It is also a serious problem of private information exposure because of user's authority management defect. In this paper, we analyze the problems of past hospital information system and propose an efficient and appropriate management authority in operating environment. It also introduces the instances applied into a large hospital EMR system, developing proper authority management to match the characteristics of the integrated medical information system. The proposed system is based on solutions of authority management system suitable for integrated health information system, as well as the next generation of EMR.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.36 no.11C
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• pp.673-681
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• 2011

In this paper, we design multiple antenna relay transmission schemes of low complexity to enhance the spatial diversity in orthogonal frequency division multiplexing (OFDM) systems. The relay scheme underlined, can provide space time block coding (STBC) of OFDM signals in the time domain without IFFT and FFT operations with much reduced complexity. In this paper, we modify the conventional low-complexity STBC-OFDM relaying scheme to be compatible to the existing OFDM systems. In addition, we extend the proposed scheme for multiple antenna relays and provide performance enhancement strategies according to the channel quality information available at the relay. The proposed scheme is shown to improve the diversity and thereby to reduce the outage probability and coded bit error rate. Therefore, the proposed scheme will be promising for service quality improvement or coverage extension based on OFDM like wireless LANs and maritime communications.

• The Journal of the Korea institute of electronic communication sciences
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• v.9 no.10
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• pp.1145-1152
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• 2014

The RFID (Radio-Frequency Identification) system is a technology to discern things by radio and an epoch-making new method to improve product management such as distribution, transport, mobilization, inventory control. However, RFID, which uses radio, is at risk for information leakage and falsification due to the vulnerability of security of the communication section. We designed the new authentication protocol by applying the tent map, which is the representative complex systems, to the RFID communication system. A more solid and simple authentication system was designed by applying the initial value sensitivity and irregularity, which are the representative characteristics of the complex system, to the reader and tag of RFID. The purpose of this paper is to verify the usability of the RFID authentication protocol design that uses the nonlinear system shown in this thesis by the new system differentiated from the authentication system that depends on the existing hash function or random numbers.

• Journal of KIISE:Databases
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• v.34 no.6
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• pp.493-502
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• 2007

Due to a growing interest in searching and expressing knowledge effectively, knowledge management methods such as Topic Map are becoming more important. Topic Map organizes knowledge that is full of intricate relations, so maintaining and managing Topic Map consistently is very essential. TMCL and other constraint languages have limits as they can check simple constraints but can not support complex constraints like dependence constraints. Current constraint checking systems operating at the application level are also showing an inferiority in performance. In this paper, we extend TMCL based on the characteristics of other constraint languages in the information system field and related fields. We build and propose an RDBMS-based Topic Map constraint checking system to support the extended constraint language effectively. This new system handles complex types of constraints like dependency constraint as well as basic Topic Map constraints present in the TMCL. As the system examines each constraint it uses templates to generate queries for effective checking and overall shows a higher performance level than current systems.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.40 no.6
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• pp.997-1004
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• 2015

In this paper, we study vertical sectorization techniques in multiple-input single-output (MISO) downlink active antenna systems (AAS). In the AAS, antenna beam patterns can be adjusted in each sector and multiple vertical beams can form the vertical sectorization. Since an exhaustive search based vertical sectorization algorithm requires high computational complexity to find the optimal tilt angles, we propose two vertical sectorization algorithms to reduce the complexity. First, we provide an asymptotic sum rate based algorithm which utilizes a large system approximation of the average sum rate based on the random matrix theory. Next, by using the result in the single sector transmission, the single sector based algorithm is proposed. In the simulation results, we confirm that the proposed algorithms are close to the performance of the exhaustive search algorithm with much reduced complexity.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.40 no.6
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• pp.981-989
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• 2015

In a log likelihood ratio(LLR) calculation of the detected symbol, multiple-input multiple-output(MIMO) system applying an optimal or suboptimal algorithm such as a maximum likelihood(ML) detection, sphere decoding(SD), and QR decomposition with M-algorithm Maximum Likelihood Detection(QRM-MLD) suffers from exponential complexity growth with number of spatial streams and modulation order. In this paper, we propose a LLR calculation method with very low complexity in the QRM-MLD based symbol detector for a high order modulation based $N_T{\times}N_R$ MIMO system. It is able to approach bit error rate(BER) performance of full maximum likelihood detector to within 1 dB. We also analyze the BER performance through computer simulation to verify the validity of the proposed method.

• Journal of the Korean Institute of Intelligent Systems
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• v.13 no.1
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• pp.6-11
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• 2003

Recently, the modular network was proposed in a way to keep the size of the neural network small. The modular network solves the problem by splitting it into sub-problems. In this aspect, fuzzy systems act in a similar way. However, in a fuzzy system, there must be an expert rule which separates the input space. To overcome this, fuzzy-neural network has been used. However, the number of fuzzy rules grows exponentially as the number of input variables grow. In this paper, we would like to solve the size problem of neural networks using modular network with the hierarchic structure. In the hierarchic structure, the output of precedent module affects only the THEN part of the rule. Finally, the rules become shorter being compared to the rule of fuzzy-neural system. Also, the relations between input and output could be understood more easily in the Proposed modular network and that makes design easier.

• The Magazine of the IEIE
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• v.18 no.10
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• pp.29-38
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• 1991

제6세대 컴퓨터로 불리는 신경컴퓨터는 학습과 병렬처리에 의해 인간의 두뇌 기능을 모방한다. 인간의 두뇌는 시각 인식, 음성인식, 촉각 감지등 패턴 인식뿐 아니라 인간의 복잡한 신체구조를 시각, 촉각 같은 감각기관의 도움을 얻어 움직이는 중요한 역할도 한다. 바로 이 모터제어(motor control)역시 신경회로가 담당하기 때문에 이를 기계적 신체에 해당하는 로봇 또는 광범위하게 기계, 비행기, 산업공정에 응용하는 것은 매우 자연스럽게 보인다. 이처럼 신경회로가 제어에 응용되는 것을 신경제어(neurocontrol)라 하고 이를 이용한 기계를 지능기계(intelligent machinery)라 한다. 지능기계는 기본적으로 인간처럼 경험축적, 학습, 불확실한 환경에서의 적응, 자기진단 등의 장점을 가지고 있다. 신경회로의 지극히 광범위한 응용분야중 신경제어는 가장 먼저 실현될 가능성이 높다. 실제로 로봇나 공정제어(process control)처럼 복잡한 비선형 시스템의 제어는 다량의 센서 정보에 기초한 실시한 제어를 필수로 하며 이는 신경회로를 사용함으로써 가장 효율적, 경제적으로 구현할 수 있다. 실제로 신경제어는 전세계적으로 이미 시스템 제어에 응용되어 좋은 결과를 내고 있다. 신경회로의 로봇나 자동화 응용은 학술적인 측면에서는 복잡한 비선형 시스템의 지능제어(intelligent control)문제에 대한 신선한 해결책을 마련해줄 뿐 아니라 산업자동화라는 막대한 시장을 뒤로 하고 있어 이론에서 실제에 걸쳐 가장 광범위한 파급효과를 가지는 최첨단 기술로 보여진다. 고부가가치 상품을 통한 국제경쟁력 제고의 차원에서도 정부, 기업 등의 과감한 연구 개발투자가 선행되어야 한다. 특히 이 분야의 연구는 선진국도 최근에 시작한 점으로 보아 정부, 기업이 이에 대한 연구개발 투자를 현명하게 할 경우에 세계적 기술 경쟁력도 확보할 수 있을 것이다. 본 해설에서는 로봇 및 시스템 제어에 관한 기초 이론과 신경회로 적용기술을 소개하고 기존방법과 비교했을 때의 우월성, 전세계적인 응용연구, 국내외 연구개발 현황, 상업화 가능성, 산업계 응용례, 기술상의 문제점, 향후 전망 등을 다루기로 한다.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.31 no.5B
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• pp.365-377
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• 2006

We define the incomplete medium sharing system as a multi-channel shared medium communication system where any types of constraints are imposed to the set of channels that may be allocated to any transmitter-receiver node pair. A set of distributed MAC schemes are proposed, all of which are based on the CSMA/CA scheme employed in IEEE 802. 11 WLAN standards. Distributed MAC schemes are proposed in three different forms, which can be differentiated by the number and the location of back-off timers; that is, (1) one timer for all queues destined for different receiver nodes, (2) multiple timers at individual transmission queues, (3) multiple timers for individual channels. Through an extensive set of computer simulations, the performances of the proposed MAC schemes show that the MAC scheme with timers at individual transmission queues outperform the others in terms of throughput and delay for most cases considered. The complexity of the proposed schemes is also compared, and the first scheme obviously turned out to be the simplest, and the complexity of the second and third schemes depends on the number of receiver nodes and the number of channels, respectively.

• Journal of IKEEE
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• v.24 no.3
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• pp.783-790
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• 2020

In this paper, the human detecting radar system for indoor security applications is proposed, and its FPGA-based implementation results are presented. In order to minimize the complexity and memory requirements of the computation, the top half of the spectrogram was used to extract features, excluding the feature extraction techniques that require complex computation, feature extraction techniques were proposed considering classification performance and complexity. In addition, memory requirements were minimized by designing a pipeline structure without storing the entire spectrogram. Experiments on human, dog and robot cleaners were conducted for classification, and 96.2% accuracy performance was confirmed. The proposed system was implemented using Verilog-HDL, and we confirmed that a low-area design using 1140 logics and 6.5 Kb of memory was possible.