• Journal of the Korea Institute of Information and Communication Engineering
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• v.21 no.5
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• pp.974-983
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• 2017

In this paper, we have discussed the search function that can be embedded and used on Android-based applications. We used BM25 to suppress insignificant and too frequent words such as postpositions, Pivoted Length Normalization technique used to resolve the search priority problem related to each item's length, and Rocchio's method to pull items inferred to be related to the query closer to the query vector on Vector Space Model to support implicit feedback function. The index operation is divided into two methods; simple index to support offline operation and complex index for online operation. The implementation uses query inference function to guess user's future input by collating given present input with indexed data and with it the function is able to handle and correct user's error. Thus the implementation could be easily adopted into smartphone applications to improve their search functions.

• Journal of Korea Port Economic Association
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• v.22 no.4
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• pp.39-58
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• 2006

This case study for a homeshopping company shows that the management of returned apparels by the partnership system increases the velocity of the returned goods, which not only minimizes the products' value loss but also improves the company's management performance. By incorporating the partnership system, following significant performance improvements have been identified: First, decrease in transaction cost and time between the homeshopping company and the partnering companies. Second, concentration of production line, accurate schedule management of receipt/delivery as well as collection of goods. Third, improvement of efficiency in procedures of returned goods and quality improvement of product provided by the partner.

• Proceedings of the SOHE Conference
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• 2003.10a
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• pp.73-73
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• 2003

본 연구는 문헌고찰, 기존의 관련 교육프로그램 분석 그리고 여성농업인들을 대상으로 실시한 설문조사와 면접 결과를 기초로 하여 여성농업인들의 자아성장에 도움이 되는 교육프로그램을 개발하는데 목적이 있다. 여성농업인들에게 자아성장을 위한 교육의 필요한 이유를 제시하면 다음과 같다. 첫째, 여성농업인들은 도시에 사는 여성들에 비해 전반적으로 자아의식이 낮으며 부정적이다. 둘째, 여성농업인들은 자기를 돌아볼 시간적 여유를 갖지 못한다는 것이다. 가사와 농업 그리고 자녀양육 둥에 많은 시간을 보내기 때문에 자신이 누구인가를 생각해 볼 여유가 없다. 셋째, 성인기는 많은 위기를 경험하는 시기인데 여성농업인들은 위기상황이 왔을 때 그것을 극복할 전략을 모르기 때문에 어려움을 주게 되고 결국 부정적 자아개념을 갖게 된다. 넷째, 미래의 자기에 대한 구체적 계획이 없어 미래의 자아상을 갖지 못하고 자신의 삶에 소극적이 된다. 프로그램 개발을 위해 관련문헌을 고찰하였으며 기존 교육 프로그램들을 분석하였다. 그리고 여성농업인들이 자아의식과 관련해서 가지고 있는 문제점이 무엇인지를 구체적으로 분석하기 위해서 설문조사와 면접을 실시하였다. 1차적으로 개발된 프로그램은 농업인 교육 담당자 및 전문가들을 초청하여 프로그램 수정, 보완에 관한 자문을 구하였다. 최종단계로 여성농업인을 대상으로 프로그램을 적용하여 타당성과 효과성을 검증 받았고 피드백 결과를 기초로 프로그램을 확정하였다.

• The KIPS Transactions:PartD
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• v.13D no.7 s.110
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• pp.857-866
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• 2006

Performance of an image retrieval system is usually very low because of the semantic gap between the low level feature and the high level concept in a query image. Semantically relevant images may exhibit very different visual characteristics, and may be scattered in several clusters. In this paper, we propose a content based image rertrieval approach which combines region based image retrieval and a new relevance feedback method using adaptive clustering together. Our main goal is finding semantically related clusters to narrow down the semantic gap. Our method consists of region based clustering processes and cluster-merging process. All segmented regions of relevant images are organized into semantically related hierarchical clusters, and clusters are merged by finding the number of the latent clusters. This method, in the cluster-merging process, applies r: using v principal components instead of classical Hotelling's $T_v^2$ [1] to find the unknown number of clusters and resolve the singularity problem in high dimensions and demonstrate that there is little difference between the performance of $T^2$ and that of $T_v^2$. Experiments have demonstrated that the proposed approach is effective in improving the performance of an image retrieval system.

• Journal of Convergence for Information Technology
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• v.10 no.9
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• pp.123-135
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• 2020

Recently organizations are implementing strict security policies and technologies to minimize security incidents. However, strict information security can cause work stress of employees and can make it difficult to achieve security goals. The purpose of this study is to present the preconditions for mitigating the negative impact of security-related work stress. We conducted a questionnaire survey of employees working in the financial industry and secured a total of 266 samples. The test of the research hypothesis was carried out by structural equation modeling. As a result, work stress had a negative effect on compliance intention, and value congruence reduced work stress. Also, security feedback had a moderating effect on the relationship between research factors. The results have theoretical and practical implications for mitigating work stress of employees.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.12
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• pp.582-593
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• 2016

The purpose of this study is to (evaluate) the effectiveness of neurofeedback training (NFT) and systematically search for the related factors by conducting a meta-analysis of theses and journal articles published in (the Korean language/Korea). This study analyzed 21 articles selected through a database search from 2001 to 2015. The quality evaluation result of the research, as research method characteristic, was low. It was found that, first, the effect size of the neurofeedback program training was .683 above the (median). Second, the effect size as the (moderator) variable played a statistically significant role in moderating the effect of the the subject characteristics, including the presence or not of disabilities and school level (elementary, junior high school, high school), on the effectiveness of the neurofeedback training program. Third, (the effect size) played a statistically significant role in mediating the effect of the research method (training method), number of sessions per week, total number of sessions and training time on the effectiveness of the neurofeedback training program. This study provides (comprehensive) data on the effect of the interventions and selection of the neuro-feedback training program subjects.

• Journal of Digital Convergence
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• v.19 no.6
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• pp.47-52
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• 2021

This research emphasized that the importance of key elements of job characteristics such as technical diversity, task identity, task importance, autonomy, and feedback. Moreover, it focused on verifying the effects of these five elements on turnover intention through Self-Efficacy. To verify this, an empirical analysis was conducted on employees of the service industry in China. Through empirical analysis, it was found that all five elements of job characteristics improve Self-Efficacy. Furthermore, Self-Efficacy was found to degrade the level of turnover intention. Furthermore, it has been verified that self-efficacy has a fully mediated effect in the relationship between the two elements(technical diversity, autonomy) of job characteristics and turnover intention. Through this research, it was revealed which elements of job characteristics had the greatest influence on self-efficacy. Finally, based on this research, we presented useful implications in human resource management to practitioners of Chinese service companies and Korean service companies seeking to enter China and future research directions were discussed.

• Proceedings of the Korea Contents Association Conference
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• 2005.05a
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• pp.51-54
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• 2005

본 연구는 내부조직관계에서 대인신뢰를 구성원들의 상대방(부하, 동료, 상사)에 대한 능력, 상호 믿음과 지원에 기반을 두는 것으로 정의하고, 조직구성원들의 협력적 관계는 조직결과의 향상을 가져올 수 있다는 것을 가정하여, 대인간의 신뢰가 조직생산성의 향상에도 영향을 미치는지를 확인하고자 한다. 연구결과에 따르면 직무수행에 관련한 의사결정에 참여도와 성과의 피드백만족도 그리고 개방적 의사 전달에 대한 만족도가 높을수록 업무생산성이 높아진다는 것을 알 수 있었다. 특히 대인신뢰에 기반을 둔 행정조직은 또 다른 관리적 도전인 문화적 다양성의 증대와 고객기대의 충족에 대처하게 되므로, 상사와 부하간의 대인신뢰를 구축하는 것은 구성원의 직무생산성을 증대시키고 조직몰입을 강화시킬 수 있는 원동력이 된다는 것을 알 수 있었다.

• Proceedings of the IEEK Conference
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• 2001.09a
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• pp.669-672
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• 2001

We propose an efficient algorithm for an interactive content-based image retrieval using relevance feedback. In the proposed algorithm, a new query feature vector first is yielded from the average feature vector of the relevant images that is fed back from the result images of the previous retrieval. Each component weight of a feature vector is computed from an inverse of standard deviation for each component of the relevant images. The updated feature vector of the query and the component weights are used in the iterative retrieval process. In addition, the irrelevant images are excluded from object images in the next iteration to obtain additional performance improvement. In order to evaluate the retrieval performance of the proposed method, we experiment for three image databases, that is, Corel, Vistex, and Ultra databases. We have chosen wavelet moments, BDIP and BVLC, and MFS as features representing the visual content of an image. The experimental results show that the proposed method yields large precision improvement.

• Proceedings of the Korea Inteligent Information System Society Conference
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• 2004.11a
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• pp.233-241
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• 2004

본 논문에서는 분산된 관리대상의 시스템자원과 사용자정보, 사용패턴을 Context로 수집하여, 구성(Configuration)을 수행하는 적응형 자가관리시스템을 제안한다. 본 시스템은 기존에 수동으로 이루어지던 Configuration 작업들 (Install, Reconfiguration, Update)을 자율적으로 수행하여, 사용자의 시스템관리에 대한 부담을 줄여주게 되며, 많은 비용과 오류를 감소시켜준다. 본 시스템은 수집된 Context 정보를 기반으로 사용자의 환경에 맞는 구성요소를 선택하여 설치하게 되며, 사용자의 기존 애플리케이션의 환경설정과 사용패턴을 기반으로, 보다 개인화된 설정을 해준다. 설정 이후에는 사용자의 행동을 암시적 피드백으로 받아, 이를 학습하고 유사한 상황이 다시 발생할 경우, 이를 다음 행동에 반영한다. 그리고 기존에 중앙서버로부터 일률적으로 관련파일을 전송하고 관리하는 중앙집중배포방식의 여러 문제점에 대응하기 위해 Peer-to-Peer 방식으로 파일을 카피하고, 이를 통해 중앙서버의 과부하를 줄이는 동시에 빠른 파일의 배포가 가능하도록 하였다. 본 시스템의 평가를 위해 프로토타입을 구현하여, 기존 수동 Configuration작업, MS-IBM과 같은 관련시스템과의 비교를 수행하였으며, 기능적 측면과 작업에 소요되는 시간에 대한 비교결과를 통해 본 시스템의 유효성을 증명하였다.