• Proceedings of the Korea Institutes of Information Security and Cryptology Conference
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• 2006.06a
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• pp.619-622
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• 2006

RFID(Radio Frequency IDentification) 기술은 리더(reader)가 RF 신호를 사용하여 물품에 부착된 전자 태그(tag)를 식별하는 비접촉 자동인식 기술이다. 그런데 여기에는 RFID 사용자의 프라이버시 보호라는 큰 문제가 존재한다. 이 문제를 해결하기 위하여 현재까지 제안되었던 보안 기법들은 태그와 리더 사이에 암호학적 기법에 중점을 두었다. 하지만, 본 논문에서는 복잡한 암호학적 기법이 아닌 개인 모바일 기기(mobile device)를 제안한다. 이것은 보호되고 있는 태그를 리더가 읽으려 할 때 태그 인식 과정에 관여하여 정당한 리더만이 태그들을 읽을 수 있도록 한다.

• International Journal of Contents
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• v.2 no.1
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• pp.34-38
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• 2006

In this paper, an overview of anti-collision algorithm for RFID system of a standard EPC Class1 protocol is presented, and the binslotted dynamic search algorithm (BDS) based upon the slotted ALOHA and binary tree procedure is proposed and analyzed. Also, the performance is evaluated as comparing the BDS algorithm with the standard bin-slotted algorithm (BSA) through the simulation program. The performance of the proposed BDS algorithm is improved by dynamically identifying the collided-bit position and the collided bins stored in the stack of the reader. As the results, the number of request command that a reader send to tags in the reader s interrogation zone and the total recognition time are decreased to 59% as compared with BSA algorithm. Therefore, the tag identification performance is fairly improved by resolving a collision problem using the proposed BDS algorithm.

• Journal of Agricultural Extension & Community Development
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• v.29 no.2
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• pp.111-129
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• 2022

This study aims to classify agricultural entrepreneurship preparation patterns for middle-aged adults and to explore their demographic characteristics, occupational characteristics, and agricultural entrepreneurship related variables. The result of the study follows: first, agricultural entrepreneurship preparation patterns were divided into three types of urban-born farming, rural-born farming, retirement farming. Second, these patterns showed significant differences according to the level of demographic and occupational characteristics. Third, these patterns also showed considerable differences depending on the level of agricultural entrepreneurship expectancies, agricultural entrepreneurship volition, and agricultural entrepreneurship barriers. Based on the results, diversified agricultural entrepreneurship education programs and support measures were suggested.

• Journal of KIISE:Computing Practices and Letters
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• v.11 no.1
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• pp.1-14
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• 2005

It is difficult to identify reusable and independent components in component-based development(CBD) process. Therefore existing methodologies have dealt the problem of component identification based on only developer's intuition and heuristics. As a result, it is difficult to identify the business components by common developers. Therefore, in this paper, we propose a new baseline and technique to identify the business components based on domain model such as use case diagrams, class diagrams, and sequence diagrams. proposed method identifies components through two phases; system component identification and business component identification. Especially, we consider structural characteristics as well as dependency characteristics according to methods call types and directions in identifying components. We also present a case study and comparative analysis and assessment to prove the practical use of our technique.

• Journal of the Korea Society of Computer and Information
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• v.26 no.3
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• pp.35-42
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• 2021

In this paper, we propose a deep learning-based person re-identification method using a three-dimensional RGB-Depth Xtion2 camera considering joint coordinates and dynamic features(velocity, acceleration). The main idea of the proposed identification methodology is to easily extract gait data such as joint coordinates, dynamic features with an RGB-D camera and automatically identify gait patterns through a self-designed one-dimensional convolutional neural network classifier(1D-ConvNet). The accuracy was measured based on the F1 Score, and the influence was measured by comparing the accuracy with the classifier model (JC) that did not consider dynamic characteristics. As a result, our proposed classifier model in the case of considering the dynamic characteristics(JCSpeed) showed about 8% higher F1-Score than JC.

• Proceedings of the IEEK Conference
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• 2005.11a
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• pp.1063-1066
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• 2005

In this paper, we developed the UHF RFID system for EPC Class1 Generation 2 specification. The RFID is a technique of identifying an object using radio frequency transmission. UHF band RFID system communication between Reader and Tag for provide the power to tag when be active when reader’s command finished the transfer. RFID technology can be applied to the supply chain, security, logistics industry and etc. Especially, UHF RFID is worth noticing because of its relatively long identification rage and commercial UHF RFID systems are under development.

• Journal of the Korea Fashion and Costume Design Association
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• v.11 no.2
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• pp.153-168
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• 2009

The purpose of this study was to identify the clothing attitude of Chinese students in korea according to gender, socio-economic level and resident period. The survey was conducted from October 30th to November 25th 2008, and 267 questionnaires were used for the analysis. Data were analyzed by factor analysis, T-test, ANOVA, Duncan's Multiple Range Test with SPSS 12.0. The results were as follows: 1. Most of Chinese students were middle-class Han race and they have been staying in Korea for 3 years. 2. Fashion leadership was classified as Innovation and Opinion leading factor; conformity as Nonconformity, Identification, and Norm consciousness; pursuit benefit as Practicality, Economy, and Aesthetic. 3. The Innovation factor was highly marked in female student group, the Opinion leading factor was higher in high-class group, and the pursuit benefit factor was significantly different between less than three years group and over three years group who have been in Korea. 4. We need to recommend best-design clothes for high-class Chinese female students who have been in Korea for over three years, and low-price clothes for less than 3 years.

• Communications for Statistical Applications and Methods
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• v.23 no.2
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• pp.131-146
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• 2016

In research on behavioral studies, significant attention has been paid to the stage-sequential process for longitudinal data. Latent class profile analysis (LCPA) is an useful method to study sequential patterns of the behavioral development by the two-step identification process: identifying a small number of latent classes at each measurement occasion and two or more homogeneous subgroups in which individuals exhibit a similar sequence of latent class membership over time. Maximum likelihood (ML) estimates for LCPA are easily obtained by expectation-maximization (EM) algorithm, and Bayesian inference can be implemented via Markov chain Monte Carlo (MCMC). However, unusual properties in the likelihood of LCPA can cause difficulties in ML and Bayesian inference as well as estimation in small samples. This article describes and addresses erratic problems that involve conventional ML and Bayesian estimates for LCPA with small samples. We argue that these problems can be alleviated with a small amount of prior input. This study evaluates the performance of likelihood and MCMC-based estimates with the proposed prior in drawing inference over repeated sampling. Our simulation shows that estimates from the proposed methods perform better than those from the conventional ML and Bayesian method.

• Asian-Australasian Journal of Animal Sciences
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• v.29 no.3
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• pp.321-326
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• 2016

The porcine major histocompatibility complex (MHC) is called swine leukocyte antigen (SLA), which controls immune responses and transplantation reactions. The SLA is mapped on pig chromosome 7 (SSC7) near the centromere. In this study, 3 class I (SLA-1, SLA-3, and SLA-2) and 3 class II (DRB1, DQB1, and DQA) genes were used for investigation of SLA haplotypes in Yucatan miniature pigs in Korea. This pig breed is a well-known model organism for biomedical research worldwide. The current study indicated that Korean Yucatan pig population had 3 Class I haplotypes (Lr-4.0, Lr-6.0, and Lr-25.0) and 3 class II haplotypes (Lr-0.5, Lr-0.7, and Lr-0.25). The combinations of SLA class I and II haplotype together, 2 homozygous (Lr-4.5/4.5 and Lr-6.7/6.7) and 3 heterozygous (Lr-4.5/6.7, Lr-4.5/25.25, and Lr-6.7/25.25) haplotypes were identified, including previously unidentified new heterozygous haplotypes (Lr-4.5/4.7). In addition, a new SLA allele typing method using Agilent 2100 bioanalyzer was developed that permitted more rapid identification of SLA haplotypes. These results will facilitate the breeding of SLA homozygous Yucatan pigs and will expedite the possible use of these pigs for the biomedical research, especially xenotransplantation research.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.35 no.7A
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• pp.669-681
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• 2010

In this paper, we analyze the active RFID system ISO/IEC 18000-7. In order to apply to USN, which consists active RFID tags and sensor nodes, we propose UWB-based Class 4 active RFID protocol using active RFID relay tag as relay AP. To compare the performance between the existing ISO/IEC 18000-7 system and the proposed system, we introduce sensitivity-based measurement of achieved coverage and system efficiency. Also, we analyze the performance of the proposed system and compare it with that of the existing system through MCL analysis and SLS analysis.