• International Journal of Reliability and Applications
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• 제11권1호
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• pp.23-40
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• 2010

Recently, Zaindin and Sarhan (2009) introduced a new distribution named new generalized Weibull distribution. This paper deals with the problem of estimating the parameters of this distribution in the case where the data is grouped and censored. We use both the maximum likelihood and Bayes techniques. The results obtained are illustrated on a set of real data.

• 전기학회논문지
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• 제58권9호
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• pp.1769-1774
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• 2009

An algorithm for extracting the BJT DC model parameter values for SPICE model is proposed. The nonlinear optimization method for analyzing the device I-V data using the Levenberg-Marquardt algorithm is proposed and the method for calculating initial conditions of model parameters to improve the convergence characteristics is proposed. The base current and collector current obtained from the proposed method shows the root mean square error of 6.04% compared with the measured data of the PNP BJT named 2SA1980.

• Asian Pacific Journal of Cancer Prevention
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• 제17권5호
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• pp.2667-2672
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• 2016

Background: Virtually all cases of cervical cancer are caused by persistent infections with a restricted set of human papillomaviruses (HPV). Cancer of the cervix is the third or even the second most common cancer in women worldwide, more than 85% of the cases occurring in developing countries, such as China and India, including the Republic of Kazakhstan. The purpose was to determine the HPV type distribution to evaluate efficacy of vaccination and adjust cancer prevention strategy in Western Kazakhstan in the future. Materials and Methods: A retrospective analysis was conducted of data obtained from PCR laboratories in 4 regional centers for the time period covering 12 months, 2013-2014, using AmpliSens$^{(R)}$ Real-Time PCR kits for HPV testing of 12 genotypes (16, 18, 31, 33, 35, 39, 45, 51, 52, 56, 58, and 59). Results: A total of 1,661 persons were HPV tested within 2013-14, but a proprotion examined for 16 and 18 genotypes only (563) was not been included for statistic analysis of distribution and ratio of the most common genotypes. Males accounted for only a small number (N=90 in total). Conclusions: Total number of the HPV-positive appeared to be 26.0%, or 286 of N=1098. Types distribution was as follows: type 16 (10.7%), 39 (5.83%), 51 (5.27%), 31 (4.85%), 56 (4.58%), 18 (3.61%), 59 (2.64%), 58 (2.22%), 35 (1.94%), 33 (1.25%). Overall the HPV infection was highest in 16-29 years old (62.4%) and decreased with age. Total prevalence of the HR-HPVs amongst male population was 21.4% with top five types 16, 18, 39, 51, 31. Trends forcorrelations between Aktau site and type 33 (Cramer's V 0.2029), between Caucasian ethnicity and type 33 (Cramer's V .1716), and between European ethnicities in Uralsk and type 45 (Cramer's V .1752) were found. Of N 563 tested separately for 16 or 18 types, 13.6% were positive. As a whole, the distribution of 16/18 types had a ratio of 3.53:1. Given the vaccine-targeted type 16 is widely spread amongst this regional population, HPV immunization program of adolescent girls 10-13 years should be implemented appropriately.

• 동력기계공학회지
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• 제13권2호
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• pp.63-70
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• 2009

This paper discusses the influence on long-tenn predictions of the ship response in ocean by using the Global Wave Statistics data, GWS, and wave information from the remote sensing satellites. GWS's standard scatter diagrams of significant wave height and zero-crossing wave period are suggested to be corrected to a round number of 0.01/1000 fitted with a statistical analytic model of the conditional lognormal distribution for zero-crossing wave period. The GEOSAT satellite data are utilized which presented by I. R. Young and G. J. Holland (1996, named as GEOSAT data). At first, qualities of this data are investigated, and statistical characteristic trends are studied by means of applying known probability distribution functions. The wave height data of GEOSAT are compared to the data observed onboard merchant ships, the data observed by measure instrument installed on the ocean-going container ship and so on. To execute a long-tenn prediction of ship response, joint probability functions between wave height and wave period are introduced, therefore long-term statistical predictions are executed by using the functions.

• 한국멀티미디어학회논문지
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• 제19권2호
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• pp.291-299
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• 2016

To enhance network efficiency, named-data networking (NDN) implements data caching functionality on intermediate network nodes, and then the nodes directly respond to request messages for cached data. Through the processing of request messages in intermediate node, NDN can efficiently reduce the amount of network traffic, also solve network congestion problems near data sources. Also, NDN provides a data authenticate mechanism so as to prevent various Internet accidents caused from the absence of an authentication mechanism. Hence, through applying NDN to various smart IT convergence services, it is expected to efficiently control the explosive growth of network traffic as well as to provide more secure services. Basically, it is important factors of NDN which data is cached and where nodes caching data is located in a network topology. This paper first analyzes previous works caching content based on the popularity of the content. Then ii investigates the hitting rate of caches in each node of a network topology, and then propose an improved caching scheme based on the result of the analyzation. Finally, it evaluates the performance of the proposal.

• 조명전기설비학회논문지
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• 제29권1호
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• pp.113-120
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• 2015

Network type distributed control system uses a communication line which is named the BUS to exchange a data among the sub-systems. Usually, on the bus, only one data must be exited at one time, so the control algorithm to prevent collision or to manage a priority of data is important. Including CAN Protocol, many kind of FieldBus which are used for distributed control system, prevent data collision by controlling transmission time. But, a system which have to make a control signal or get a data from a sensor at fixed time will be met a problem when it is composed by using a network type distributed control structure. In this paper, some of these cases will be discussed and solutions be proposed for preventing a data collision. Also, using Arago Disk System which have a structure for inner loop control, the validity of the proposed methods will be verified.

• 한국농공학회:학술대회논문집
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• 한국농공학회 2000년도 학술발표회 발표논문집
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• pp.239-245
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• 2000

This study is aimed to develop the historical data management system named "ACON"(Actual COst Network system) which can be used for collecting, analysis and modification of the historical data. ACON_Local is used for collecting the historical data at each spot place. It redueces the work potential of managers, spending time and cost. ACON_Analysis is to analyze the collection , modifies the data′s error and updates the historical database. ACON_Network is developed to transfer data from ACON to Web server or opposites. The proposed model, ACON, provide the easy way for the cost estimate system, "HiCOMS" to collect, analyze and modify the historical cost evaluated data, which is used to compose the historical data base.

• Journal of Acupuncture Research
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• 제24권6호
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• pp.159-170
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• 2007

Objectives : The 7-zone-diagnostic system is a diagnostic device to predetermine bodily locations by measuring the energy of a living body. This study was to investigate the relation between the different patterns of Factor AA in a 7-zone-diagnostic system and clinical parameters. The purpose of this study is to relate Korean traditional medicine and western medicine using the data from the 7-zone-diagnostic system and the clinical parameters. Methods : This study was carried out with the data from some clinical parameters. We made two groups according to the Factor AA patterns of VEGA-DFM 722, the 7-zone-diagnostic system The Factor AA patterns of Group A named hyperenergy is all the red bar graphs that arehigher than the normal range. The Factor AA patterns of Group B named hypoenergy is all the red bar graphs that are lower than the normal range. After the data from clinical parameters corresponding with conditions of each group were selected, the data from clinical parameters among each group was analyzed statistically. Results : The values of Weight, GOT, r-GTP, Uric acid and BMI of Group A are higher than those of Group B. The values of Sodium and Phosphorus of Group A are lower than those of Group B. Conclusions : To conclude, it is thought that Group A has a heat-excess type but Group B has colddeficient type.

• 한국의류학회지
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• 제30권5호
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• pp.699-710
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• 2006

The objective of this study was to identify the texture-related components of woven fabrics and to develop a multidimensional perceptual structure map to represent the tactile textures. Eighty subjects in clothing and tektite industries were selected for multivariate data on each fabric of 30 using the questionnaire with 9 pointed semantic differential scales of 20 texture-related adjectives. Data were analyzed by factor analysis, hierarchical cluster analysis, and multidimensional scaling(MDS) using SPSS statistical package. The results showed that the five factors were selected and composed of density/warmth-coolness, stiffness, extensibility, drapeability, and surface/slipperiness. As a result of hierarchical cluster analysis, 30 fabrics were grouped by four clusters; each cluster was named with density/warmth-coolness, surface/slipperiness, stiffness, and extensibility, respectively. By MDS, three dimensions of tactile texture were obtained and a 3-dimensional perceptual structure map was suggested. The three dimensions were named as surface/slipperiness, extensibility, and stiffness. We proposed a positioning perceptual map of fabrics related to texture naming system(TNS). To classify the textural features of the woven fabrics, hierarchical cluster analysis containing all the data variations, even though it includes the errors, may be more desirable than texture-related multidimensional data analysis based on factor loading values in respect of the effective variables reduction without losing the critical variations.

• 한국정보통신학회논문지
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• 제26권5호
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• pp.725-730
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• 2022

NDN(Named Data Networking)은 미래의 인터넷 아키텍처를 실현하기 위한 ICN의 대표 기술이라 할 수 있다. NDN은 특정 데이터를 갖는 호스트 IP 주소가 아닌 데이터 이름 자체로 데이터를 검색한다. Consumer는 요청하고자하는 데이터의 이름을 갖는 Interst 패킷을 NDN 네트워크에 보내고, NDN 네트워크 안에 존재하는 NDN 라우터는 CS, FIB, PIT 세 가지 이름 테이블을 이용해 Interest 패킷을 다음 홉으로 포워딩한다. Producer 혹은 NDN 라우터는 Interest 패킷이 운반한 데이터의 이름에 해당하는 데이터 패킷을 consumer에게 역시 이름 기반 포워딩을 통해 전송한다. 본 논문에서는 ndnSIM 기반 NDN 네트워크를 설계 구현하고 성능 평가를 수행한다. ndnSIM 구조를 분석하고, ndnSIM을 이용해 6-node 혼잡 NDN 네트워크 및 9-node grid NDN 네트워크를 개발한다. 구현한 두 개의 NDN 네트워크에 대해 Interest 패킷 전송율의 증가에 따른 패킷 지연 성능 및 패킷 전송 처리율 성능을 시뮬레이션을 통해 측정한다. NDN 네트워크 안에 혼잡이 패킷 지연 및 전송 처리율에 미치는 영향을 분석하고 이것이 미래에 NDN 네트워크를 구축 개발하고자하는 엔지니어들에게 하나의 사전지식으로 제공되길 기대한다.