• Title/Summary/Keyword: Incorrect Analysis

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A Study on the Modification Method of Flow Data in the Sewage System (하수관거 유량자료의 보정방법에 관한 연구)

  • Kim, Dae-Geun;Gong, Min-Geun
    • Journal of Korean Society of Water and Wastewater
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    • v.17 no.4
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    • pp.495-502
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    • 2003
  • In order to modify incorrect flow data in the sewage system, the method using the stage-discharge relation and hydraulic characteristic curve of sewer pipe are applied. The modified data were verified with field measured data and the infiltration analysis using the modified data was carried out. When flowrate were measured using the flow-meter in fair weather, the stage data were comparatively consistent but velocity data were very poor for the most part. Therefore, it was recommended that sewage flowrate variation characteristic curve and infiltration were computed using the modified data on the basis of stage data. Especially, in the case of using the hydraulic characteristic curve, extrapolation results of the rainy season flowrate using regression curve on the basis of the data in fair weather were also reasonable.

An Analysis of Password Meters for Domestic Web Sites (국내 웹 사이트 패스워드 미터 분석)

  • Kim, KyoungHoon;Kwon, Taekyoung
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.26 no.3
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    • pp.757-767
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    • 2016
  • Password authentication is the representative user authentication method and particularly text-based passwords are most widely used. Unfortunately, most users select weak passwords and so many web sites provide a password meter that measures password strength to derive the users to select strong passwords. However, some metering results are not consistent and incorrect strength feedbacks are made. In this paper, we tackle these problems regarding password meters and present an improvement direction.

The study on the Process Capability Index for Continuously Improvement Quality Safety (품질안전개선을 위한 공정능력지수의 연구)

  • Yang, Kwang-Mo;Oh, Sun-Il;Kang, Kyong-Sik
    • Journal of the Korea Safety Management & Science
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    • v.8 no.3
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    • pp.11-25
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    • 2006
  • It is necessary to deal with the process capability index carefully because it has been developed with certain assumptions. Companies make a decision on processes through the results obtained by using and treating data extracted from the processes. However if they have incorrect or wrong results, they cannot lead to proper outputs but also bring to loss of the competition in quality. Therefore, this study will show a method to analysis Cp (process capability ; CP) and an idea of mass-production on Pp (process performance ; PP) based on the Sigma Estimate which is one of the uncertainty in the process capability index and makes a lot of error. To apply this method, it is essential to understand and to analyze the processes exactly. Especially, it is required to establish the more accurate process capability index that can quickly and properly respond to changes on processes to recognize the small changes on the process which lies in specification in mass production system that the continual monitoring of quality managers is required.

A Simulation Study on The Behavior Analysis of The Degree of Membership in Fuzzy c-means Method

  • Okazaki, Takeo;Aibara, Ukyo;Setiyani, Lina
    • IEIE Transactions on Smart Processing and Computing
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    • v.4 no.4
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    • pp.209-215
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    • 2015
  • Fuzzy c-means method is typical soft clustering, and requires a degree of membership that indicates the degree of belonging to each cluster at the time of clustering. Parameter values greater than 1 and less than 2 have been used by convention. According to the proposed data-generation scheme and the simulation results, some behaviors in the degree of "fuzziness" was derived.

A Research on Gender Analysis of BGP Security (BGP의 보안성에 대한 기존 연구 분석)

  • Sun, Jae-Hoon;Kim, Yong-Ho;Sun, Yong-Bin
    • Convergence Security Journal
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    • v.9 no.4
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    • pp.35-41
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    • 2009
  • Internet routing protocols currently in use in the typical protocol of the existing BGP protocol to strengthen the security of the BGP protocol by comparison with research on emerging issues of the AS-Path, IP Fake, DRDoS BGP protocol must be used when such the information you need, but due to malicious attack, or an incorrect setting can prevent the global Internet network operating in an security to threat information are analyzed.

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Enhanced Equivalent Circuit Modeling for Li-ion Battery Using Recursive Parameter Correction

  • Ko, Sung-Tae;Ahn, Jung-Hoon;Lee, Byoung Kuk
    • Journal of Electrical Engineering and Technology
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    • v.13 no.3
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    • pp.1147-1155
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    • 2018
  • This paper presents an improved method to determine the internal parameters for improving accuracy of a lithium ion battery equivalent circuit model. Conventional methods for the parameter estimation directly using the curve fitting results generate the phenomenon to be incorrect due to the influence of the internal capacitive impedance. To solve this phenomenon, simple correction procedure with transient state analysis is proposed and added to the parameter estimation method. Furthermore, conventional dynamic equation for correction is enhanced with advanced RC impedance dynamic equation so that the proposed modeling results describe the battery dynamic characteristics more exactly. The improved accuracy of the battery model by the proposed modeling method is verified by single cell experiments compared to the other type of models.

A Study on K -Means Clustering

  • Bae, Wha-Soo;Roh, Se-Won
    • Communications for Statistical Applications and Methods
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    • v.12 no.2
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    • pp.497-508
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    • 2005
  • This paper aims at studying on K-means Clustering focusing on initialization which affect the clustering results in K-means cluster analysis. The four different methods(the MA method, the KA method, the Max-Min method and the Space Partition method) were compared and the clustering result shows that there were some differences among these methods, especially that the MA method sometimes leads to incorrect clustering due to the inappropriate initialization depending on the types of data and the Max-Min method is shown to be more effective than other methods especially when the data size is large.

3-D Analysis and Inspection of Surface Mounted Solder Pastes by Point-to-Surface (가변 구속상자를 이용한 점-표면배정방법에 의한 표면실장 솔거페이스트의 삼차원 해석 및 검사)

  • 신동원
    • Journal of the Korean Society for Precision Engineering
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    • v.20 no.3
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    • pp.210-220
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    • 2003
  • This work presents a method of point to surface assignment fur 3D metrology of solder pastes on PCB. A bounding box enclosing the solder paste tightly on all sides is introduced to avoid incorrect assignment. The shape of bounding box fur solder paste brick is variable according to geometry of measured points. The surface geometry of bounding box is obtained by using five peaks selected in the histogram of normalized gradient vectors. By using the bounding box enclosing the solder pastes, the task of point-to-surface assignment has been successfully conducted, then geometrical features are obtained through the task of surface fitting.

Harmonics Measurement and Analysis on Industrial load Facilities (산업용 부하설비의 고조파 측정 및 분석)

  • Han, Wun-Dong;Ji, Pyeong-Shik
    • Journal of the Korean Society of Industry Convergence
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    • v.9 no.2
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    • pp.133-139
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    • 2006
  • Harmonics happened due to nonlinear systems such as UPS, SCR controlled motors, and fluorescent lighting in distribute power system is very important subject to optimal operation and control of power system. Harmonics sometimes make incorrect operation of protective relaying system under normal condition on power system. In this study, total harmonics distortion(THD) of power were measured and analyzed by the field test on electrical facilities which were installed at the rural industrial complex in Chungbuk province. In addition, the deprivation of power factor by harmonics and the content of THD which is measured at neutral line was researched.

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Trend-adaptive Anomaly Detection with Multi-Scale PCA in IoT Networks (IoT 네트워크에서 다중 스케일 PCA 를 사용한 트렌드 적응형 이상 탐지)

  • Dang, Thien-Binh;Tran, Manh-Hung;Le, Duc-Tai;Choo, Hyunseung
    • Annual Conference of KIPS
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    • 2018.05a
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    • pp.562-565
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    • 2018
  • A wide range of IoT applications use information collected from networks of sensors for monitoring and controlling purposes. However, the frequent appearance of fault data makes it difficult to extract correct information, thereby sending incorrect commands to actuators that can threaten human privacy and safety. For this reason, it is necessary to have a mechanism to detect fault data collected from sensors. In this paper, we present a trend-adaptive multi-scale principal component analysis (Trend-adaptive MS-PCA) model for data fault detection. The proposed model inherits advantages of Discrete Wavelet Transform (DWT) in capturing time-frequency information and advantages of PCA in extracting correlation among sensors' data. Experimental results on a real dataset show the high effectiveness of the proposed model in data fault detection.