• Title/Summary/Keyword: 오류 발생률

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The Assessing Comparative Study for Statistical Process Control of Software Reliability Model Based on polynomial hazard function (다항 위험함수에 근거한 NHPP 소프트웨어 신뢰모형에 관한 통계적 공정관리 접근방법 비교연구)

  • Kim, Hee-Cheul;Shin, Hyun-Cheul
    • The Journal of Korea Institute of Information, Electronics, and Communication Technology
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    • v.8 no.5
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    • pp.345-353
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    • 2015
  • There are many software reliability models that are based on the times of occurrences of errors in the debugging of software. It is shown that it is possible to do parameter inference for software reliability models based on finite failure model and non-homogeneous Poisson Processes (NHPP). For someone making a decision to market software, the conditional failure rate is an important variables. In this case, finite failure model are used in a wide variety of practical situations. Their use in characterization problems, detection of outlier, linear estimation, study of system reliability, life-testing, survival analysis, data compression and many other fields can be seen from the many study. Statistical process control (SPC) can monitor the forecasting of software failure and thereby contribute significantly to the improvement of software reliability. Control charts are widely used for software process control in the software industry. In this paper, proposed a control mechanism based on NHPP using mean value function of polynomial hazard function.

CAPI and Higher Data Quality: the Case of KLoSA and Blaise CAPI Programme (컴퓨터를 이용한 대인면접이 조사 자료의 질 개선에 미치는 영향: 고령화연구패널조사의 Blaise 활용 사례를 중심으로)

  • Shin, Hyun-Goo;Lee, Hye-Jung
    • Survey Research
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    • v.7 no.2
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    • pp.71-95
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    • 2006
  • This article presents strengths of Computer-Assisted Personal Interviewing(CAPI) in social surveys with complicated questionnaires, from examples of a pilot and the first year surveys of the Korean Longitudinal Study of Ageing(KLoSA). This study focuses on how to improve the quality of data by using CAPI and finds five strengths among others. First of all, CAPI can contribute to reducing response errors by structuring the logic and path of questionnaires, setting a response range, and maintaining response consistency. Second, CAPI enhances convenience of interviewing by allowing customized questions and automatic calculation and scoring. It also allows the 'help' function. Third, its random arrangement of questions prevents response order effect and/or questions order effect. Fourth, CAPI can raise the response rate by reducing item non-responses. Fifth, it makes it easy monitoring interviewing, thus helps supervising interviewers and modifying questionnaires when necessary. These merits of CAPI contribute to reducing possible errors in the process of interviewing, therefore improve the data quality.

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Pilot Subcarrier Based Channel Estimation Scheme in IEEE 802.11p Systems (IEEE 802.11p에서 파일럿 부반송파를 이용한 채널추정 기법)

  • Ren, Yongzhe;Park, Dong Chan;Kim, Suk Chan
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.40 no.5
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    • pp.791-798
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    • 2015
  • It has been grown interests of the convergence technologies about communication systems and vehicular industry. Vehicular communications enable a number of infotainment applications to serve cars under high mobility environments. To achieve this goal, a robust and accurate channel estimation scheme is of great importance. This paper proposes an enhanced Decision-Directed channel estimation scheme called PTAU(Pilot Tone Aided Update) for IEEE 802.11p in vehicular communication environment. Existing approaches which use subsequent data symbols to estimate channel response in time domain will lead to the error propagation. In this paper, we use the pilot subcarriers to get initial channel response, then utilize the correlation characteristics to update channel response in frequency domain. Finally, Analysis and simulation results reveal that the proposed scheme outperforms in bit error rate(BER), significantly improve the performance of the estimation.

An Improved Joint Bayesian Method using Mirror Image's Features (미러영상 특징을 이용한 Joint Bayesian 개선 방법론)

  • Han, Sunghyu;Ahn, Jung-Ho
    • Journal of Digital Contents Society
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    • v.16 no.5
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    • pp.671-680
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    • 2015
  • The Joint Bayesian[1] method was published in 2012. Since then, it has been used for binary classification in almost all state-of-the-art face recognition methods. However, no improved methods have been published so far except 2D-JB[2]. In this paper we propose an improved version of the JB method that considers the features of both the given face image and its mirror image. In pattern classification, it is very likely to make a mistake when the value of the decision function is close to the decision boundary or the threshold. By making the value of the decision function far from the decision boundary, the proposed method reduces the errors. The experimental results show that the proposed method outperforms the JB and 2D-JB methods by more than 1% in the challenging LFW DB. Many state-of-the-art methods required tons of training data to improve 1% in the LFW DB, but the proposed method can make it in an easy way.

A Study on Human Recognition Experiments with Handwritten Digit for Machine Recognition of Handwritten Digit (필기 숫자의 기계 인식을 위한 인간의 필기 숫자 인식 실험에 대한 고찰)

  • Yoon, Sung-Soo;Chung, Hyun-Sook;Yi, Kwang-Oh;Lee, Yill-Byeong;Lee, Sang-Ho
    • Journal of the Korean Institute of Intelligent Systems
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    • v.18 no.3
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    • pp.373-380
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    • 2008
  • So far there have been many researches on machine-based recognition of handwritten digit. But we have not yet attained the level of performance that can be satisfactory to men. The dissatisfaction with the performance of machine comes from not only the low accuracy of recognition but also the dissimilarity of the recognition results between man and machine. To reduce the difference of machine from man we first made an experiment with the human recognition of handwritten digits and then inquiry into the way of the human recognition that makes the results of men different from that of machine. We found out the attributes that play an important role in the human recognition process through the analysis of the experimental results like uni- and bi-directional confused pairs of digits, several ones unmixed up with another and the redundancy of mis-recognition, and proposed the approach direction to be able to improve the accuracy of the machine-based recognition, and furthermore the similarity in the recognition results of men and machine on the basis of the found facts above.

Video Streaming Receiver with Video Information File to correct Wrong Token Bucket Parameters by Packet Loss (패킷 손실에 의해 잘못된 토큰 버킷 파라메타를 정정하는 비디오 정보 파일을 가진 비디오 스트리밍 수신기)

  • Lee, Hyun-No;Kim, Dong-Hoi
    • Journal of Digital Contents Society
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    • v.17 no.3
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    • pp.181-188
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    • 2016
  • Video streaming traffics which are arrived in receiver have irregular traffic patterns by many problems over the network path. Particularly, if these received traffics enter into replay buffer without any operation, the overflow and underflow effects are made according to the buffer status. There was an existing scheme which automatically set up token bucket parameters using the video information file under the assumption of the lossless packet on network. The existing scheme has a problem which can set up the wrong token bucket parameters by the lost packets on the practical networks with video packet loss. Therefore, this paper proposes a new scheme which reset up video file information to correct the wrong token bucket parameters in case of packet loss in practical networks with packet loss. Through the simulation, it was found that the proposed scheme would have better performance than the existing scheme in terms of overflow generation and packet loss.

The Study of Volume Data Aggregation Method According to Lane Usage Ratio (차로이용률을 고려한 지점 교통량 자료의 집락화 방법에 관한 연구)

  • An Kwang-Hun;Baek Seung-Kirl;NamKoong Sung
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.4 no.3 s.8
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    • pp.33-43
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    • 2005
  • Traffic condition monitoring system serves as the foundation for all intelligent transportation system operation. Loop detectors and Video Image Processing are the most widely common technology approach to condition monitoring in korea Highways. Lane Usage is defined as the proportion of total link volume served by each lane. In this research, the lane Usage(LU) of two lane link for one day. Interval is 56% : 44%. The LU of three lane link is 39% : 37% : 24%. The LU of four lane link is 25% : 29% : 26% : 21%. These analysis reveal that each lane distributions of link are not same. This research investigates the general concept of lane usage by using collected loop detector data and the investigated that lane distribution is different by traffic lane and lane usage is consistent by time of day.

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CERVICOFACIAL NECROTIZING FASCIITIS;CASE REPORT (경안면 괴사성 근막염;증례보고)

  • Park, Kwan-Soo;Jeong, Ki-Hoon;Kim, Hyo-Eon;Jeong, Jeong-Kwon;Yoon, Kyu-Ho;Jeon, In-Seong
    • Maxillofacial Plastic and Reconstructive Surgery
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    • v.23 no.1
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    • pp.77-81
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    • 2001
  • Necrotizing fasciitis is defined as infectious disease showing extensive necrosis of the superficial fascia with widespread involvement of the surrounding tissues and concurrent systemic toxicity. It is found commonly in the extremities, the trunk and the perineum, but shows extremely rare occurrence in the well vascularized area such as head and neck area. Occurred in the head and neck area, it is called "cervicofacial necrotizing fasciitis" (CFNF). It is a fatal disease which carries a mortality rate up to 60%. Early diagnosis, aggressive surgical debridement of necrotic tissues and massive antibiotics therapy are essential for achieving a favorable outcome. We present a case of cervicofacial necrotizing fasciitis in 35-year-old male patient with literature review.

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Performance Improvement of SVLIW Architectures by Removing LNOPs from An Object Code (목적 코드에서 LNOP 코드가 제거됨에 따른 SVLIW 구조의 성능 향상)

  • Jeong, Bo-Yun;Jeon, Joong-Nam;Kim, Suk-Il
    • The Transactions of the Korea Information Processing Society
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    • v.4 no.9
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    • pp.2269-2279
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    • 1997
  • SVLIW (Superscalar VLIW) processor, a family of VLIW processors schedules very long instruction words at runtime. If a very long instruction word that is to be issued occurs data dependence relations and/or resource conflicts with those words that were under execution, a long NOP word is issued instead of the word until all the data dependence relations and/or resource conflicts have been resolved. Thus, LNOPs can be removed in object codes for SVLIW processors. In this paper, we measure an improvement of the cache hit ratio caused by removing LNOPs in the object code. We also analyze an improvement of the processor performance due to higher cache hit ratio of the processor. Benchmark tests promise that the performance of SVLIW processors is improved more than 5% compared with that of traditional VLIW processors.

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Goal Tree based Testing Method for Self-healing System (자가 치유 시스템을 위한 목표 트리 기반 평가 기법)

  • Min, Dong-Wook;Kim, Yeong-Duck;Ko, Jae-Heon;Rhee, Hyun-Sook;Kim, Hoon-Ki;Jung, Suk-Yong;Park, Jeong-Min
    • Proceedings of the KAIS Fall Conference
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    • 2009.12a
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    • pp.436-440
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    • 2009
  • 자가 치유란 시스템에서 발생될 수 있는 에러나 오류를 미리 예상하거나 감지하고 시스템 스스로 치유함으로써 시스템의 오동작을 최소화하는 것을 의미한다. 자가 치유 시스템의 신뢰성을 높이기 위해서는 정확한 테스트 기법이 필요하다. 하지만 기존의 테스트 기법은 성공 또는 실패만으로 나타내기때문에 정량적인 평가가 불가능하다. 따라서 본 논문에서는 자가 치유 시스템이 달성해야 할 목표를 추출하고 관계에 따라 트리로 작성하여 이를 기반으로 시스템의 자가 치유 기법의 성공률을 정량적 측정하는 기법을 제안한다. 본 기법을 통해 자가 치유 시스템의 치유 결과를 정량적으로 평가 가능하고, 평가결과를 기반으로 치유 전략에 대한 문제점이 분석 가능하므로 자가 치유 시스템의 신뢰성 향상이 가능하다.

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