• 지능정보연구
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• 제25권1호
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• pp.127-137
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• 2019

재범예측은 70년대 이전부터 전문가들에 의해서 꾸준히 연구되어온 분야지만, 최근 재범에 의한 범죄가 꾸준히 증가하면서 재범예측의 중요성이 커지고 있다. 특히 미국과 캐나다에서 재판이나 가석방심사 시 재범 위험 평가 보고서를 결정적인 기준으로 채택하게 된 90년대를 기점으로 재범예측에 관한 연구가 활발해졌으며, 비슷한 시기에 국내에서도 재범요인에 관한 실증적인 연구가 시작되었다. 지금까지 대부분의 재범예측 연구는 재범요인 분석이나 재범예측의 정확성을 높이는 연구에 집중된 경향을 보이고 있다. 그러나 재범 예측에는 비대칭 오류 비용 구조가 있기 때문에 경우에 따라 예측 정확도를 최대화함과 동시에 예측 오분류 비용을 최소화하는 연구도 중요한 의미를 가진다. 일반적으로 재범을 저지르지 않을 사람을 재범을 저지를 것으로 오분류하는 비용은 재범을 저지를 사람을 재범을 저지르지 않을 것으로 오분류하는 비용보다 낮다. 전자는 추가적인 감시 비용만 증가되는 반면, 후자는 범죄 발생에 따른 막대한 사회적, 경제적 비용을 야기하기 때문이다. 이러한 비대칭비용에 따른 비용 경제성을 반영하여, 본 연구에서 비대칭 오류 비용을 고려한 XGBoost 기반 재범 예측모델을 제안한다. 모델의 첫 단계에서 최근 데이터 마이닝 분야에서 높은 성능으로 각광받고 있는 앙상블 기법, XGBoost를 적용하였고, XGBoost의 결과를 로지스틱 회귀 분석(Logistic Regression Analysis), 의사결정나무(Decision Trees), 인공신경망(Artificial Neural Networks), 서포트 벡터 머신(Support Vector Machine)과 같은 다양한 예측 기법과 비교하였다. 다음 단계에서 임계치의 최적화를 통해 FNE(False Negative Error)와 FPE(False Positive Error)의 가중 평균인 전체 오분류 비용을 최소화한다. 이후 모델의 유용성을 검증하기 위해 모델을 실제 재범예측 데이터셋에 적용하여 XGBoost 모델이 다른 비교 모델 보다 우수한 예측 정확도를 보일 뿐 아니라 오분류 비용도 가장 효과적으로 낮춘다는 점을 확인하였다.

• 한국컴퓨터정보학회논문지
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• 제17권8호
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• pp.115-121
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• 2012

본 연구의 주된 목적은 조직구성원들이 왜 업무 중에 직무와 무관하게 스마트폰을 사용하는지를 파악하는 것이다. 이를 위해 본 연구에서는 습관, 사용의향, 사회적 영향, 업무 상호의존성, 사용행동으로 구성된 직무외 스마트폰 사용행동 영향 요인에 관한 연구 모형을 개발하였다. 그리고 스마트폰을 사용하는 직장인들을 대상으로 설문조사를 실시하여 분석하였다. 분석결과 첫째, 습관과 사회적 영향은 직무외 스마트폰 사용행동을 예측할 수 있는 주요 요인들로 나타났다. 둘째, 직무외 스마트폰 사용에 있어서 사용의향과 사용행동간의 관계는 업무 상호의존성에 의해서 긍정적으로 조절되는 것으로 밝혀졌다.

• 유통과학연구
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• 제15권10호
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• pp.41-50
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• 2017

Purpose - Online product review has become a crucial part of the online retailer's market performance for a wide range of products. This research aims to investigate how an individual reviewer's review frequency and timing affect her/his average attitude toward products. Research design, data, and methodology - To conduct reviewer-level analysis, this study uses 42,172 posted online review messages generated by 6,941 identified reviewers for 59 movies released in the South Korea from July 2015 to December 2015. This study adopts Tobit model specification to take into account the censored nature and the selection bias arising from the nature of J-shaped distribution of movie rating. Results - Our estimation results support that the negative impact of review frequency and timing on valence. Furthermore, review timing has an inverted-U relationship with the user's average valence and enhance the negative effect of review frequency. Conclusions - This study contributes to the growing literature on the understanding how eWOM is generated at the individual consumer level. On the basis of the main empirical findings, this study provides insights into building a recommendation system in online retail store based on the consumer's review history data - frequency, timing, and valence.

• 한국전자거래학회:학술대회논문집
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• 한국전자거래학회 1997년도 한국전자거래학회 종합학술대회지
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• pp.263-268
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• 1997

Functional Modeling methodology, IDEF0 is widely used for modeling, analysis and description of enterprise system. The limitation of modeling components restricts applicability and give rise to confusion about model. In this paper, we propose new method to extend IDEF0. The first is adding modeling components which are semantic representations. In addition to ICOMs, we add the time and cost component which is required to execute the function. The second is tracing mechanism. When we need some information, we drive the functions related with the information by reverse tracing of the function which produces the information as a output and input. Through the tracing, we find out the bottleneck process or high cost process. Finally, we suggest the final decomposition level. We call the final decomposed function into unit function which has only one output data. We can combine and reconstruct some of functions because an unit function is similar to ‘lego block’. To reach the integrated system, the main problem to be solved is the integration of information produced by different functional subsystem. This can be resolved when the creation of data must be dependent on only one function. Through view integration of function output, we can guarantee the integrity of data.

• 경영과학
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• 제18권1호
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• pp.55-68
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• 2001

A virtual shopping mall is like a real-world mall, supports electronic shopping by selling products or services through Interne. Although increasing numbers of products are being marketed on the Web, little efforts has been spent on evaluating what mall is more suitable for marketing electronically and for protecting consumers. Evaluation of virtual shopping malls is regarded as a major task in business-to-consumer electronic commerce. This paper considers the Analytic Hierarchy Process(AHP) method in the evaluation of virtual shopping malls and provides its applications. The AHP is a systematic procedure for representing the elements of any problem, hierarchically. A series of pairwise comparison judgments is performed to express the relative strength or intensity of impact of the elements in the hierarchy. The AHP model hierarchy consists of the four following levels: decision maker, main criteria, sub-criteria, and virtual shopping malls. the main criteria include the state of physical firms, representation of information on the virtual shopping malls, product or service, convenience for shopping, consumer protection, and consumer service. The total number of sub-criteria in the third level is twenty-nine. All decision makers selected belong to virtual shopping mall enterprises, or universities. As a case study, we show the synthesized priority of the five virtual shopping malls that have acquired an E-Trust mark. Finally a sensitivity analysis shows how well each virtual shopping mall performs on each criterion by increasing or decreasing the importance of the main criteria.

• 농촌지도와개발
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• 제8권2호
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• pp.179-190
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• 2001

The purpose of this study was to analysis the education effects of web-based on-line cyber program mesaured by Kirkpatrick’s evaluation process. The average score on satisfaction of the program was 4.28(.59), which was designed to evaluate the level 1, reaction. To test level 2, learning, the average score that students achieved was calculated and it was 86.87(std.=7.05) in the term examinations. The level 3, job months. It was reported that most employees who took the course are utilizing the knowledge that they acquired from the course(mean=3.80, std.=.77). To identify the level 4, business results, the mean score of the number of accidents and near misses that happened in their factories for 3 months before and after the course were compared. There was statistically significant difference between the number of accidents that happened 3 months before the course and 3 months after the course, at the significance level of .01, which was tested by Paired t-test.

• 한국컴퓨터산업학회논문지
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• 제6권2호
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• pp.249-258
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• 2005

ERP 시스템은 기업의 기간 시스템으로서 기업간 전자상거래에 참여하기 위해서는 시스템의 성공적인 운영이 필수적인 요소이다. 그러나 대부분의 ERP 도입 기업들은 운영에 많은 문제점과 어려움을 가지고 있다. 이는 ERP 시스템이 데이터 관리에만 집중되어 있고 운영상에서 생성되는 유용한 지식은 ERP와 연계하여 관리하지 못하기 때문이다. 본 논문에서는 ERP 시스템 운영과정에서 생성되는 유용한 지식을 체계적으로 조직하고 표현하기 위한 3-계층 지식 온톨로지의 모델을 제시하고 이 온톨로지를 효율적으로 관리할 수 있는 지식처리 시스템을 설계 및 구현하였다. 구현된 시스템은 상용 ERP 시스템과 연계하였고 실제 제조 기업에 적용해 봄으로써 ERP 운영상의 유용한 지식을 시스템 내에 유지함으로 인한 ERP의 효율적 운영이 가능함을 보였다.

• 한국인공지능학회지
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• 제5권2호
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• pp.43-53
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• 2017

In this paper, the pattern of extracting the same expression is proposed by using the Android intelligent device to identify the facial expression. The understanding and expression of expression are very important to human computer interaction, and the technology to identify human expressions is very popular. Instead of searching for the emoticons that users often use, you can identify facial expressions with acamera, which is a useful technique that can be used now. This thesis puts forward the technology of the third data is available on the website of the set, use the content to improve the infrastructure of the facial expression recognition accuracy, in order to improve the synthesis of neural network algorithm, making the facial expression recognition model, the user's facial expressions and similar e xpressions, reached 66%.It doesn't need to search for emoticons. If you use the camera to recognize the expression, itwill appear emoticons immediately. So this service is the emoticons used when people send messages to others, and it can feel a lot of convenience. In countless emoticons, there is no need to find emoticons, which is an increasing trend in deep learning. So we need to use more suitable algorithm for expression recognition, and then improve accuracy.

• 산경연구논집
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• 제7권1호
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• pp.11-14
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• 2016

Purpose - The study aims to show the successful application of Six Sigma in software companies for process improvement. Research design, data and methodology - A mixed methodology has been used which include both qualitative and quantitative research. In the qualitative research methodology part, a detailed and comprehensive literature study have been carried out. The literature study consists of articles, books, web materials, discussion forms and others. In the quantitative research methodology part, interviews have been conducted. Results - Six sigma is the practical application of a theoretical statistical measurement that equates to 3.4 defects per million opportunities -a position of practically zero defects for any process or service. Initially originating in Motorola Inc. in 1985 as a response to drastic quality improvement pressures from the threat of Japanese competition, it quickly gained many followers particularly G.E., Allied Signal, Ford Motor Company etc. and more recently attentions have shifted to service environments. There are still some problems and misconceptions existed about the applicability of Six Sigma in software companies. Conclusions - The paper concludes that Six Sigma can bring large benefits for software companies too. Furthermore, software companies have already started to implement Six Sigma approach, like Ericsson, Tata Consultancy Service, etc.

• 유통과학연구
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• 제14권8호
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• pp.35-44
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• 2016

Purpose - This study aims to understand the relationship between Chinese local SNS usage and social capital building through Chinese international students in South Korea. A research model that illustrates the relationship between the SNS usage (i.e., intensity, communication and social capital building is proposed. Based on the analysis, this study will provide responses to the question of if SNS really presents the danger of trapping international consumers in their local comfort zone or enhance social capital for the users. Research design, data, and methodology - The survey questionnaire is circulated among the WeChat (a Chinese local SNS) users who are the Chinese international students studying in South Korea. The collected data is analyzed by structural equation method using SPSS and AMOS. Results - Proposed hypotheses of the positive relationships between the attachment of SNS use and both individuals' bridging and bonding social capital are supported. It's also supported that (1) interpersonal communication, (2) interpersonal communication with old friends, and (3) interpersonal communication for making new friends on SNS positively influence individuals' bridging social capital. Conclusions - This paper demonstrates the importance of intensity of WeChat use and interpersonal communication that impact Chinese international students' bridging and bonding social capital on WeChat.