• 제목/요약/키워드: false current

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허위, 과장광고와 소비자보호문제에 관한 고찰 (A study of Problems with False Exaggerating Advertisements and Consumer's Protection.)

  • 조기중
    • 산업경영시스템학회지
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    • 제6권9호
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    • pp.97-110
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    • 1983
  • As the economic society develops very exceedingly, the gap of production and consumption elarges gradually. So the current function to connect them and the function to communicate are needed. I think the advertisement take the charge of this role. This advertisement is so essential to today's economic society that its power influences variably both the economic society and the consumers. The enterprisers, advertising owners stick to the maximization of profits and neglect the principle of true advertisements. They but tise not the information for the consumers to choose reasonably but the false, exaggerating advertisement and unfair manifestation very frequently, which is the main trouble in the current problems of consumption. Therefore, on the one hand, in this study from protecting the consumers not to be involved in the false, exaggerating advertisements, the establishment of advertising ethics as advertising owner's self-control is discussed. On the other hand, the legal control regulation in Korea, involving Japan and U.S.A. are analyzed. The cases of false, exaggerating advertisements and unfair manifestation in Korea are also demonstrated. Finally, the proposals to improve the advertisements are made from the Point of government, enterprisers, and consumers.

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A Look-Up Table Based Error Diffusion Algorithm for Dynamic False Contour Reduction of Plasma Display Panels

  • Lee, Ho-Seop;Kim, Choon-Woo
    • Journal of Information Display
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    • 제2권2호
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    • pp.32-38
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    • 2001
  • PDP(plasma display panel) represents the gray levels by the pulse number modulation technique that results in undesirable dynamic false contours on moving images. This paper proposes a LUT(Look-up table) based error diffusion algorithm for reduction of the dynamic false contours. A quantitative measure of the dynamic false contours is defined first. The measure of the dynamic false contours is calculated through simulation of every gray level combination of two consecutive frames. Based on the calculated measures, a modified gray level for a pair of gray levels of two consecutive frames is chosen to reduce the dynamic false contours. The chosen gray levels serve as contents of a gray level conversion LUT. Given a pair of gray levels of two consecutive frames, the gray level of current frame is modified based on the gray level conversion LUT. The new gray level is displayed on PDP. An error diffusion algorithm is, then, applied to compensate for the differences in the gray levels.

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포트 스캐닝 기법 기반의 공격을 탐지하기 위한 실시간 스캔 탐지 시스템 구현 (A Real Time Scan Detection System against Attacks based on Port Scanning Techniques)

  • 송중석;권용진
    • 한국정보과학회논문지:정보통신
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    • 제31권2호
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    • pp.171-178
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    • 2004
  • 포트 스캐닝 탐지 시스템은 “False Positive”(실제 공격이 아닌데 공격이라고 탐지, 오탐지)와 “False Negative”(실제 공격인데 공격이 아니라고 탐지, 미탐지)가 낮아야 하는 등의 시스템 성능에 관한 요구사항과, 해당 탐지 시스템을 활용한 보안관리가 용이해야 하는 등의 사용자 친화적인 요구사항을 만족할 필요가 있다. 그러나 공개되어 있는 실시간 스캔 탐지 시스템은 False Positive가 높고 다양한 스캔 기법에 대한 탐지가 잘 이루어지지 않고 있다. 또한 실시간 스캔 탐지 시스템의 대부분이 명령어 기반으로 이루어져 있기 때문에 이률 활용하여 시스템 보안 관리를 수행하는데 많은 어려움이 있다. 따라서 본 논문에서는 새로운 필터 룰 집합의 적용에 의해 포트 스캐닝 기법 기반의 다양한 공격을 탐지 할 수 있고, 공격자의 행동 패턴으로부터 유도된 ABP-Rule의 적용에 의해 False Positive를 최소화할 수 있는 실시간 스캔 탐지 시스템(TkRTSD)을 제안한다. 또한 Tcl/Tk를 이용하여 GUI환경을 구축함으로써 사용자가 쉽게 보안관리를 할 수 있는 사용자 친화적인 탐지 시스템을 제안한다.

Automatic False-Alarm Labeling for Sensor Data

  • Adi, Taufik Nur;Bae, Hyerim;Wahid, Nur Ahmad
    • 한국컴퓨터정보학회논문지
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    • 제24권2호
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    • pp.139-147
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    • 2019
  • A false alarm, which is an incorrect report of an emergency, could trigger an unnecessary action. The predictive maintenance framework developed in our previous work has a feature whereby a machine alarm is triggered based on sensor data evaluation. The sensor data evaluator performs three essential evaluation steps. First, it evaluates each sensor data value based on its threshold (lower and upper bound) and labels the data value as "alarm" when the threshold is exceeded. Second, it calculates the duration of the occurrence of the alarm. Finally, in the third step, a domain expert is required to assess the results from the previous two steps and to determine, thereby, whether the alarm is true or false. There are drawbacks of the current evaluation method. It suffers from a high false-alarm ratio, and moreover, given the vast amount of sensor data to be assessed by the domain expert, the process of evaluation is prolonged and inefficient. In this paper, we propose a method for automatic false-alarm labeling that mimics how the domain expert determines false alarms. The domain expert determines false alarms by evaluating two critical factors, specifically the duration of alarm occurrence and identification of anomalies before or while the alarm occurs. In our proposed method, Hierarchical Temporal Memory (HTM) is utilized to detect anomalies. It is an unsupervised approach that is suitable to our main data characteristic, which is the lack of an example of the normal form of sensor data. The result shows that the technique is effective for automatic labeling of false alarms in sensor data.

분산전원 연계선로에서 보호계전기의 상전류 오차보정 알고리즘 개발 (The Development of an Algorithm for the Correction of Errors in the Phase Current of the Protective Relay on Distribution System Interconnected with Distributed Generations)

  • 신동열;윤동현;차한주
    • 전기학회논문지
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    • 제62권11호
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    • pp.1604-1609
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    • 2013
  • When the ground fault on the power side occurs on distribution system interconnected with distributed generations, the abnormal current is generated in the neutral conductor by the connection type and the iron core structure of transformers for the interconnection of distributed power supplies due to the unbalanced voltage of the system, and subsequently the false operation of the protective relay on the load side occurs. Herein, this paper proposes the method to correct errors in the phase current to prevent the false operation of the protective relay by applying p-q theory and presents the simulation result of the error correction algorithm using PSCAD/EMTDC.

복굴절 광섬유를 이용한 전류측정에 관한 연구 (A Study on the Current Measurement Using birefringence Fiber)

  • 장남영;최평석;은재정
    • 융합신호처리학회논문지
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    • 제6권2호
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    • pp.59-66
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    • 2005
  • 광섬유 전류 센서 특히, 단방향 편광형 광섬유 전류센서(PFOCS)에서 측정전류 정밀도는 센싱 광섬유상의 외부 환경적 변화요인 즉, 음향 진동의 변화와 전류 도체 주위에 감긴 센싱 광섬유 밴딩과 같은 내부적 변화요인에 의해 악영향을 받는다. 이와 같은 변화 요인들은 센서 헤드를 구성하는 센싱 광섬유의 복굴절 특성에 영향을 주어 결국 오전류 측정의 원인이 되고, 따라서, 단방향 PFOCS에 대한 보상 기술인 가역적 PFOCS를 이용하여, 이와 같은 복굴절 변화요인들을 억제할 수 있다. 따라서, 본 논문에서는 가역적 PFOCS의 성능해석을 위해 센싱 광섬유 상에 존재하는 외부 환경적 요인과 내부 요인으로 인한 편광도 오차와 오전류를 수치해석 하였다. 또한, 가역적 PFOCS 구조에서 일반 반사경과 faraday 회전경(FRM)의 사용으로 인한 효과 및 서로 다른 광원의 파장에 대한 효과를 비교하였다. 그 결과, 편광도 오차는 $633{\cal}nm$에서, 일반 반사경 및 FRM을 사용했을 때, 각각 $2.3\%$$0.0196\%$로 계산되었고, $1300{\cal}nm$에서 편광도 오차는 각각 $9.87\%,\;0.0196\%$로 계산되었다. 또한, 단방향 PFOCS와 비교한 오전류 수치해석 결과, 일반 반사경 및 FRM을 사용한 경우에 각각 $9.82{\times}10^{-9}A,\;1.4{\times}10^{-17}A$로 단방향 PFOCS의 경우보다 외부 환경변화 및 내부 변화요인에 강인한 센서 구조임이 확인되었다.

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Spectrum Sensing Techniques for Cognitive radio-A Review

  • Matin, Mohammad A.
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제8권11호
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    • pp.3638-3654
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    • 2014
  • Cognitive Radio (CR) users need to sense the environment or channel at regular time interval for sharing the spectrum band of the primary users (PUs). Once find the spectrum idle, CR users start their transmission through it. Even while transmitting, they need to continue the sensing process so that they can leave the spectrum immediately whenever find a PU wanting to use the band. Therefore, detecting PUs is one of the main functions of cognitive radio before transmission and higher the detection probability ensures better protection to the primary users. However, it is not possible to attain a high detection probability (or a low miss detection probability) and low false alarm probability simultaneously as there is a tradeoff between false alarm probability ($P_{fa}$) and the probability of detection ($P_d$). In this paper, the author has provided a comprehensive study on different sensing techniques and discussed their advantages and disadvantages. Moreover, it is expected that, with this article, readers can have a through understanding of sensing techniques in CR and the current research trends in this area.

개념 그래프 기반의 효율적인 악성 코드 탐지 기법 (A Method for Efficient Malicious Code Detection based on the Conceptual Graphs)

  • 김성석;최준호;배용근;김판구
    • 정보처리학회논문지C
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    • 제13C권1호
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    • pp.45-54
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    • 2006
  • 현재까지 존재하는 무수한 악성 행위에 대응하기 위해서 다양한 기법들이 제안되었다 그러나 현존하는 악성행위 탐지 기법들은 기존의 행위에 대한 변종들과 새로운 형태의 악성행위에 대해서 적시 적절하게 대응하지 못하였고 긍정 오류(false positive)와 틀린 부정(negative false) 등을 해결하지 못한 한계점을 가지고 있다. 위와 같은 문제점을 개선하고자 한다. 여기서는 소스코드의 기본 단위(token)들을 개념화하여 악성행위 탐지에 응용하고자 한다. 악성 코드를 개념 그래프로 정의할 수 있고, 정의된 그래프를 통하여 정규화 표현으로 바꿔서 코드 내 악성행위 유사관계를 비교할 수 있다. 따라서 본 논문에서는, 소스코드를 개념 그래프화하는 방법을 제시하며, 정확한 악성행위 판별을 위한 유사도 측정방안을 제시한다. 실험결과, 향상된 악성 코드 탐지율을 얻었다.

Multi Label Deep Learning classification approach for False Data Injection Attacks in Smart Grid

  • Prasanna Srinivasan, V;Balasubadra, K;Saravanan, K;Arjun, V.S;Malarkodi, S
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제15권6호
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    • pp.2168-2187
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    • 2021
  • The smart grid replaces the traditional power structure with information inventiveness that contributes to a new physical structure. In such a field, malicious information injection can potentially lead to extreme results. Incorrect, FDI attacks will never be identified by typical residual techniques for false data identification. Most of the work on the detection of FDI attacks is based on the linearized power system model DC and does not detect attacks from the AC model. Also, the overwhelming majority of current FDIA recognition approaches focus on FDIA, whilst significant injection location data cannot be achieved. Building on the continuous developments in deep learning, we propose a Deep Learning based Locational Detection technique to continuously recognize the specific areas of FDIA. In the development area solver gap happiness is a False Data Detector (FDD) that incorporates a Convolutional Neural Network (CNN). The FDD is established enough to catch the fake information. As a multi-label classifier, the following CNN is utilized to evaluate the irregularity and cooccurrence dependency of power flow calculations due to the possible attacks. There are no earlier statistical assumptions in the architecture proposed, as they are "model-free." It is also "cost-accommodating" since it does not alter the current FDD framework and it is only several microseconds on a household computer during the identification procedure. We have shown that ANN-MLP, SVM-RBF, and CNN can conduct locational detection under different noise and attack circumstances through broad experience in IEEE 14, 30, 57, and 118 bus systems. Moreover, the multi-name classification method used successfully improves the precision of the present identification.

진단서, 처방전과 관련된 최근의 쟁점 (Recent Issues related to the Medical Certificate and Prescriptions)

  • 문현호
    • 의료법학
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    • 제14권2호
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    • pp.49-80
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    • 2013
  • The Issuance of false medical certificates on Criminal Law or the Medical Service Act are frequently applied to the insurance fraud cases related with the medical certificate, prescriptions. The meaning of medical certificate is not defined on the crime of Issuance of false medical certificates, but considering the rule of Paragraph 1 of Article 17 of the Medical Service Act, which punishes drawing up the medical certificate by anyone except the doctor who has directly examined, and the principle of legality, the medical certificate applied with the crime of Issuance of false medical certificates should (1) include the judgment after current medical ex-amination, (2) be written for the purpose of verifying the health status and (3) have a style that can be recognizable as medical document usually written by doctors. In addition, since there have been many argues on the range of application of the Paragraph 1 of Article 17 of the Medical Service Act, which generally regulates various kinds of documents such as medical certificates, prescriptions and others, which have different purpose and characters, the range of application of the clause above is needed to be interpreted strictly.

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