• Title/Summary/Keyword: 다중 결합

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A Study of Authentication Design for Youth (청소년을 위한 인증시스템의 설계에 관한 연구)

  • Hong, Ki-Cheon;Kim, Eun-Mi
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.8 no.4
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    • pp.952-960
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    • 2007
  • Most Websites perform login process for authentication. But simple features like ID and Password have no trust because most people worry about appropriation. So the youth can easily access illegal media sites using other's ID and Password. Therefore this paper examine features be adaptable to authentication system, and propose a design of authentication system using multiple features. A proposed authentication system has two categories, such as low-level and high-level method. Low-level method consists of grant of authentication number through mobile phone from server and certificate from authority. High-level method combines ID/Password and features of fingerprint, character, voice, face recognition systems. For this, this paper surveys six recognition systems such as fingerprint, face, iris, character, vein, voice recognition system. Among these, fingerprint, character, voice, face recognition systems can be easily implemented in personal computer with low cost accessories. Usage of multiple features can improve reliability of authentication.

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Short-Term Water Demand Forecasting Algorithm Using AR Model and MLP (AR모델과 MLP를 이용한 단기 물 수요 예측 알고리즘 개발)

  • Choi, Gee-Seon;Yu, Chool;Jin, Ryuk-Min;Yu, Seong-Keun;Chun, Myung-Geun
    • Journal of the Korean Institute of Intelligent Systems
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    • v.19 no.5
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    • pp.713-719
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    • 2009
  • In this paper, we develope a water demand forecasting algorithm using AR(Auto-regressive) and MLP(Multi-layer perceptron). To show effectiveness of the proposed method, we analyzed characteristics of time-series data collected in "A" purification plant at Jeon-Buk province during 2007-2008, and then performed the proposed method with various input factors selected through various analyses. As noted in experimental results, the performance of three types model such as multi-regressive, AR(Auto-regressive), and AR+MLP(Auto-regressive + Multi-layer perceptron) show 5.1%, 3.8%, and 3.6% with respect to MAPE(Mean Absolute Percentage Error), respectively. Thus, it is noted that the proposed method can be used to predict short-term water demand for the efficient operation of a water purification plant.

A Design of Mobile Web Server Framework for SOAP Transaction and Performance Enhancement in Web2.0 (웹2.0에서 SOAP 처리와 성능 향상을 위한 모바일 웹 서버 프레임워크의 설계)

  • Kim, Yong-Tae;Jeong, Yoon-Su;Park, Gil-Cheol
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.12 no.10
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    • pp.1866-1874
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    • 2008
  • Existing web server lowers the whole capacity of system because of the problem on the processing load of server by closing connection increasing code handshake operation, and remarkable decrease of server capacity if it is the state of overload. Also, there occurs disadvantages of increasing connection tine about client's request and response time because handling of client's multi-requests is not smooth because of thread block and it requests a lot of time and resources for revitalization of thread. Therefore, this paper proposes the extended web server which provides the technique for delay handling and improves the overload of server for better system capacity, communication support, and the unification which is the advantage of web service. And it evaluates the existing system(implemented at Tomcat 5.5) and the proposed mobile web server architecture. The extended server architecture provides excellent exchange condition for system capacity and evaluates improved web server architecture which combines multi-thread with thread pool. The proposed web service architecture in this paper got the better result of improved capacity benefit than the evaluation result of original Tomcat 5.5.

Assessing Spatial Uncertainty Distributions in Classification of Remote Sensing Imagery using Spatial Statistics (공간 통계를 이용한 원격탐사 화상 분류의 공간적 불확실성 분포 추정)

  • Park No-Wook;Chi Kwang-Hoon;Kwon Byung-Doo
    • Korean Journal of Remote Sensing
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    • v.20 no.6
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    • pp.383-396
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    • 2004
  • The application of spatial statistics to obtain the spatial uncertainty distributions in classification of remote sensing images is investigated in this paper. Two quantitative methods are presented for describing two kinds of uncertainty; one related to class assignment and the other related to the connection of reference samples. Three quantitative indices are addressed for the first category of uncertainty. Geostatistical simulation is applied both to integrate the exhaustive classification results with the sparse reference samples and to obtain the spatial uncertainty or accuracy distributions connected to those reference samples. To illustrate the proposed methods and to discuss the operational issues, the experiment was done on a multi-sensor remote sensing data set for supervised land-cover classification. As an experimental result, the two quantitative methods presented in this paper could provide additional information for interpreting and evaluating the classification results and more experiments should be carried out for verifying the presented methods.

Biometric Information and OTP based on Authentication Mechanism using Blockchain (블록체인을 이용한 생체정보와 OTP 기반의 안전한 인증 기법)

  • Mun, Hyung-Jin
    • Journal of Convergence for Information Technology
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    • v.8 no.3
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    • pp.85-90
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    • 2018
  • Blockchain technology provides distributed trust structure; with this, we can implement a system that cannot be forged and make Smart Contract possible. With blockchain technology emerging as next generation security technology, there have been studies on authentication and security services that ensure integrity. Although Internet-based services have been going with user authentication with password, the information can be stolen through a client and a network and the server is exposed to hacking. For the reason, we suggest blockchain technology and OTP based authentication mechanism to ensure integrity. In particular, the Two-Factor Authentication is able to ensure secure authentication by combining OTP authentication and biometric authentication without using password. As the suggested authentication applies multiple hash functions and generates transactions to be placed in blocks in order for biometric information not to be identified, it is protected from server attacks by being separate from the server.

Broadband Patch Antenna for Wireless LAN Communication of 5GHz Band (5GHz 대역의 무선랜 통신을 위한 광대역 패치 안테나)

  • Yun, Tae-Soon
    • The Journal of the Korea institute of electronic communication sciences
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    • v.16 no.3
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    • pp.395-400
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    • 2021
  • In this paper, the wideband patch antenna is simulated and manufactured for the wireless LAN of 5GHz band that is defined in IEEE 802.11a. In the 802.11a, 200 channels of 675MHz are defined. Therefore, the bandwidth is needed more than 12.3%. For the wideband characteristics, low dielectric constant is realized with the multi-layer of 2 teflon substrates and the air dielectric layer and the feeding method of the coupled-line is used. Optimized wideband patch antenna is simulated with the return loss of 38.99dB at the center frequency of 5.43GHz and the bandwidth of 12.9%. The gain of manufactured patch antenna is 4.38, 4.52, and 5.12dBi at the channel number of 46, 56, and 153, respectively.

Hybrid Hazard Analysis for Improving Safety of Railway System (철도 시스템의 안전성 향상을 위한 하이브리드 위험원 분석)

  • Jeong, Daehui;Kwon, Gihwon
    • The Journal of Korean Institute of Information Technology
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    • v.16 no.11
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    • pp.133-144
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    • 2018
  • IEC 62278, the Railway System Safety Standard, requires for hazard analysis to prevent or control the hazard that the railway system may have. If hazard analysis is not performed sufficiently, there is a high probability that accidents will occur. For this reason, hazard analysis methods are actively studied. In this paper, we propose the hybrid hazard analysis method to combine two representative hazard analysis methods: reliability-based and system-theoretic. As the proposed method is complementary to existing ones, it covers both the hazard caused by failure of components and the hazard occurred from the unintended control between components. It applies to the development of a safety protection mechanism for multiple cruise control system that automatically control the speed of trains to avoid the collision among trains. As a result, we drive more safety requirements than the existing analysis methods and it turns out that the safety requirements protect the trains with respect to the identified hazards.

A Critical Review of Commitment in the Workplace (일터몰입에 대한 연구)

  • Park, Kyungok
    • Journal of vocational education research
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    • v.33 no.3
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    • pp.127-143
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    • 2014
  • This study is based on a review of the literature on workplace commitment(Cohen, 2000; Morrow, 1993; Randall & Cote, 1991). Commitment is an important multifaceted construct but also one that is hard to define. Given this, this study starts from identifying that how previous research has suggested various conceptualizations for workplace commitment. The aim of this review on workplace commitment is to suggest that team commitment should be considered as one of important commitment foci in the workplace. The implication of this study is that subsequent operationalization, analysis and inference has overlooked differences between these commitment forms, leading to an oversimplified account of employee commitment that mixes together different forms of commitment.

Sea Ice Type Classification with Optical Remote Sensing Data (광학영상에서의 해빙종류 분류 연구)

  • Chi, Junhwa;Kim, Hyun-cheol
    • Korean Journal of Remote Sensing
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    • v.34 no.6_2
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    • pp.1239-1249
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    • 2018
  • Optical remote sensing sensors provide visually more familiar images than radar images. However, it is difficult to discriminate sea ice types in optical images using spectral information based machine learning algorithms. This study addresses two topics. First, we propose a semantic segmentation which is a part of the state-of-the-art deep learning algorithms to identify ice types by learning hierarchical and spatial features of sea ice. Second, we propose a new approach by combining of semi-supervised and active learning to obtain accurate and meaningful labels from unlabeled or unseen images to improve the performance of supervised classification for multiple images. Therefore, we successfully added new labels from unlabeled data to automatically update the semantic segmentation model. This should be noted that an operational system to generate ice type products from optical remote sensing data may be possible in the near future.

Compensation of the Distorted WDM Channels in Ultra-long Transmission Link of 80 km × 56 Spans (80 km × 56 spans의 초장거리 전송 링크에서 왜곡된 WDM 채널의 보상)

  • Lee, Seong-Real
    • Journal of Advanced Navigation Technology
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    • v.23 no.3
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    • pp.251-257
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    • 2019
  • The configuration of ultra-long optical transmission link with dispersion management and optical phase conjugation is proposed. The whole transmission link consist of 80 km (single mode fiber span) ${\times}$ 56 fiber spans. The artificial distribution of single mode fibers' lengths and residual dispersions in fiber spans, which are gradually increased/decreased as the span number is increased, is adopted to compensate for the distorted wavelength division multiplexed channels. Since the compensation effect through the artificial distribution in the previous researches is expected to decrease as the number of fiber spans are increased, three-time repetition of the artificial distribution patterns at intervals of 9 fiber spans applied into the link with dispersion management and optical phase conjugation is proposed. From the simulation results, it is confirmed that the compensation in the link configured by the special distribution pattern among 4 proposed patterns is slightly improved than the link configured by the conventional method, which is designed by the repeat-less distribution pattern.