리조트 종사원의 감정노동과 직무탈진 및 직무열의의 관계에서 사회지능의 조절효과

김진강 ( Jin Gang Kim ) 한국관광산업학회 2014 Tourism Research Vol.39 No.1

This study aimed to deduce political and theological implications by verifying empirically how the emotional labor of employees at a resort affects job burnout and job engagement, and how social intelligence plays a role of a moderating variable during the process. Regarding research for this study, it was conducted from November 29, 2013~December 27, 2013, and 315 copies were utilized as effective samples during the empirical analysis process. As a result of survey, surface acting was discovered to have a positive (+) relationship with job burnout while deep acting was found to have a positive (+) relationship with job engagement. Also, in an analysis of the regulation effect of social intelligence in the relationship between emotional labor, job burnout, and job engagement, social intelligence was shown to have a regulation effect in the relationship between emotional labor, job burnout, and job engagement. In the meantime, there have been not many studies which identified the relationship between emotional labor, job burnout, job engagement, and social intelligence. Accordingly, a study aimed at employees in the hospitality industry in which the result of emotional labor is directly related to a customer service while exhibiting high dependency on a human resources service may be meaningful.

한국인 인체측정을 사용한 새로운 베개 디자인

김아람(Kim A-Ram),허진강(Hur Jin-Gang),김희수(Kim Hee-Soo) 대한치료과학회 2013 대한치료과학회지 Vol.5 No.2

Objective: Measuring anthropometry of subjects to reflect in new pillow designs aiming at optimal position while sleeping. Method: 102 adult subjects with age of 19 or more were recruited for this study. Outcome measures 17 anthropometry were measured using an sliding caliper, anthropometer, a measuring tape, and a pen for point indication. Extra 5 dimensions were obtained while conducting this study. Results: The outcome had found that there are differences between males and females in body anthropometry. For male and female subjects, the distance between Occiput and the wall surface was 28.84 ㎜ and 23.02 ㎜ each; and the distance between neck and the wall surface was 43.99 ㎜ and 49.09 ㎜. The distance between ear and shoulder was 141.96 ㎜ and 121.94 for male and female subjects, and the distance between neck and shoulder was 152.38 ㎜ and 139.8 ㎜ for each. These findings suggest that the height of a pillow should be different between supine and lateral position, by 113.12 ㎜ from the head, and 108.39 ㎜ from the neck for male, and 98.92 ㎜ from the head, and 90.71 ㎜ from the neck for female. Conclusion: The study indicates that there are differences in anthropometry between supine and lateral position for both gender; and there are gender differences in anthropometry. The new pillow design should reflect these findings.

인터넷상에서의 에이전트 기반 지능형 정보 제안 시스템

김진강(Jin-gang Kim),이은석(Eun-seok Lee) 한국정보과학회 1999 한국정보과학회 학술발표논문집 Vol.26 No.1B

현재 분산 네트워크 환경에서 사용자는 수많은 양의 정보를 획득할 수 있다. 그러나, 사용자가 획득 할 수 있는 정보는 무제한적이고, 또한 동적으로 변하고 있기 때문에 사용자 스스로 정보를 획득하기가 어렵다. 이러한 문제점을 해결하고자 사용자를 대신하여 정보를 검색해주는 검색 엔진이 등장하게 되었다. 그러나, 검색 엔진을 통한 검색은 사용자의 관심과 관계가 없는 정보를 검색하는 경우가 많다. 이러한 문제점을 해결하고자 본 논문에서는 사용자 프로파일을 이용한 지능형 정보 제안 시스템(IRS)을 제안한다. 지능형 정보 제안 시스템은 사용자 프로파일을 반영하여 개인의 특성에 알맞은 정보를 제안하게 될 것이다.

연구논문(硏究論文) : 호텔종사원의 감정노동과 직무태도의 관계에서 감성지능의 조절효과

김진강 ( Jin Gang Kim ) 한국관광산업학회 2011 Tourism Research Vol.33 No.-

Now emotional labor cannot be disregarded in service industry where workers have to contact people individually and control their feelings themselves to maintain kindness and satisfy customers. Therefore, this study aims to figure out the effect of hotel employees` emotional labor on their job attitude and examine as moderating effect emotional intelligence, the factor to relieve such relationship. This study targets workers in five-star hotels located in Jeonnam area. Total 250 questionnaire sheets were distributed, and 224 were used for positive analysis as effective samples. According to the result of this research, first, among the two sub factors of emotional labor, surface acting and deep acting, only the deep acting affects customer orientation and emotional commitment positively. Second, according to the result of verifying emotional intelligence`s moderating effect on the relationship between hotel employees` emotional labor and job attitude, there was no moderating effect found.

불법저작물 유포자 행위분석 프로파일링 기술 연구

김진강 ( Jin-gang Kim ),황찬웅 ( Chan-woong Hwang ),이태진 ( Tae-jin Lee ) 한국인터넷정보학회 2021 인터넷정보학회논문지 Vol.22 No.3

IT 산업의 발달과 문화 활동의 증가로 저작물에 대한 수요가 증가하고 온라인 환경에서 쉽고 편리하게 이용할 수 있다. 이에 따른 저작물 복제 및 유통이 용이하여 저작권 침해가 심각하게 일어나고 있다. 일부 특수한 유형의 온라인 서비스 제공업체(OSP)는 저작권을 보호하기 위해 필터링 기반 기술을 사용하기만 쉽게 우회할 수 있으며, 모든 불법 저작물을 차단하기에는 한계가 있어 저작권을 보호하기는 갈수록 힘들어지고 있다. 최근 불법저작물 유포자 대부분은 특정 소수이며, 다수 OSP와 다수 ID를 통해 불법저작물을 유포하여 이득을 취한다. 본 논문에는 불법저작물을 바탕으로 주요 분석대상인 대량의 불법저작물 유포자인 대량 유포자(Heavy Uploader) 프로파일링 기술을 제안한다. 이 프로파일링 기술은 불법저작물 전반에 대한 정보가 담긴 특징(Feature)을 생성하고 주요 대량 유포자를 식별한다. 이 중 동일인으로 추정되는 대량 유포자를 식별하기 위해 클러스터링 기술을 사용한다. 또한, 불법저작물 유포자 추적과 행위분석을 통해 우선순위가 높은 대량 유포자를 분석할 수 있다. 향후, 대량의 불법저작물을 유포하는 대량 유포자를 식별하고 차단한다면 저작권 피해를 최소화할 것으로 기대한다. With the development of the IT industry and the increase of cultural activities, the demand for works increases, and they can be used easily and conveniently in an online environment. Accordingly, copyright infringement is seriously occurring due to the ease of copying and distribution of works. Some special types of Online Service Providers (OSP) use filtering-based technology to protect copyrights, but they can easily bypass them, and there are limits to blocking all illegal works, making it increasingly difficult to protect copyrights. Recently, most of the distributors of illegal works are a certain minority, and profits are obtained by distributing illegal works through many OSP and majority ID. In this paper, we propose a profiling technique for heavy uploader, which is a major analysis target based on illegal works. Creates a feature containing information on overall illegal works and identifies major heavy uploader. Among these, clustering technology is used to identify heavy uploader that are presumed to be the same person. In addition, heavy uploaders with high priority can be analyzed through illegal work Distributor tracking and behavior analysis. In the future, it is expected that copyright damage will be minimized by identifying and blocking heavy uploader that distribute a large amount of illegal works.

악성코드 분석에서의 AI 결과해석에 대한 평가방안 연구

김진강(Jin-gang Kim),황찬웅(Chan-woong Hwang),이태진(Tae-jin Lee) 한국정보보호학회 2021 정보보호학회논문지 Vol.31 No.6

정보보안에서 AI 기술은 알려지지 않은 악성코드를 탐지하기 위해 사용한다. AI 기술은 높은 정확도를 보장하지만, 오탐을 필연적으로 수반하므로 AI가 예측한 결과를 해석하기 위해 XAI 도입을 고려하고 있다. 그러나, XAI는 단순한 해석결과만 제공할 뿐 그 해석을 평가하거나 검증하는 XAI 평가 연구는 부족하다. XAI 평가는 어떤 기술이 더 정확한지 안전성 확보를 위해 필수적이다. 본 논문에서는 악성코드 분야에서 AI 예측에 크게 기여한 feature로 AI 결과를 해석하고, 이러한 AI 결과해석에 대한 평가방안을 제시한다. 약 94%의 정확도를 보이는 tree 기반의 AI 모델에 두 가지 XAI 기술을 사용하여 결과해석을 진행하고, 기술 정확도 및 희소성을 분석하여 AI 결과해석을 평가한다. 실험 결과 AI 결과해석이 적절하게 산출되었음을 확인하였다. 향후, XAI 평가로 인해 XAI 도입 및 활용은 점차 증가하고, AI 신뢰성 및 투명성이 크게 향상될 것으로 예상한다. In information security, AI technology is used to detect unknown malware. Although AI technology guarantees high accuracy, it inevitably entails false positives, so we are considering introducing XAI to interpret the results predicted by AI. However, XAI evaluation studies that evaluate or verify the interpretation only provide simple interpretation results are lacking. XAI evaluation is essential to ensure safety which technique is more accurate. In this paper, we interpret AI results as features that have significantly contributed to AI prediction in the field of malware, and present an evaluation method for the interpretation of AI results. Interpretation of results is performed using two XAI techniques on a tree-based AI model with an accuracy of about 94%, and interpretation of AI results is evaluated by analyzing descriptive accuracy and sparsity. As a result of the experiment, it was confirmed that the AI result interpretation was properly calculated. In the future, it is expected that the adoption and utilization of XAI will gradually increase due to XAI evaluation, and the reliability and transparency of AI will be greatly improved.

선박 추진시스템 기술동향과 기술개발전략

이성근,배재류,김진강,Lee, Seong-Geun,Bae, Jae-Ryu,Kim, Jin-Gang 대한조선학회 2015 大韓造船學會誌 Vol.52 No.2

조직의 특성이 경영성과에 미치는 영향 -호텔기업의 CRM시스템 운용을 중심으로-

우찬복 ( U Chan Bog ),김진강 ( Kim Jin Gang ) 대한관광경영학회 2004 觀光硏究 Vol.18 No.2

Recently in the industry where contact with customer takes an important part in business, such as finance, education, tourism, and other services, more and more CRM system is being built on. However, in case of hotel businesses, although they are concerned for it as an assistant tool that can enhance and improve business management, its importance or the strategic approach to it is still less recognized In addition, compared with increase of its importance and concern for it on the part of hotel businesses, few researches have been conducted both qualitatively and quantitatively. However, as CRM system takes the place of core strategic system in hotel businesses and they are more concerned for such tools as will analyze ROI(return on investment) to determine management performance according to its introduction, the study on the effects of CRM system on management performance became very important. For this study, based on the previous studies on the elements that can influence on CRM system and management performances, hypotheses were set up to solve problems, and for its positive verification, questionnaire was distributed to the employees who are concerned with operation of CRM system at the deluxe-class hotels in the country. The findings can be summarized as follows: The organizational elements can partly influence on management performance, but the level of superiors participation in decision-making can significantly influence on financial performance, customer performance, leaning and growth performance, and the level of concentration in decision-making can influence on financial performance, customer performance, and process performance.

불법복제물 고속검색 및 Heavy Uploader 프로파일링 분석기술 연구

황찬웅(Chan-Woong Hwang),김진강(Jin-Gang Kim),이용수(Yong-Soo Lee),김형래(Hyeong-Rae Kim),이태진(Tae-Jin Lee) 한국정보보호학회 2020 정보보호학회논문지 Vol.30 No.6

인터넷 기술의 발달함에 따라 많은 콘텐츠가 생산되고 그 수요가 증가하고 있다. 이에 따라 유통되고 있는 콘텐츠수가 증가하였고, 반면에 저작권을 침해하는 불법복제물을 유포하는 건수도 증가하고 있다. 한국저작권보호원은 문자열 매칭 기반 불법복제물 추적관리시스템을 운영하고 있으며, 이를 우회하기 위해 다수의 노이즈를 삽입하므로 정확한 검색이 어려운 현실이다. 최근, 노이즈를 제거하기 위한 자연어 처리, AI 딥러닝 기술을 이용한 연구와 저작권보호를 위한 다양한 블록체인 기술이 연구되어 있으나 한계가 있다. 본 논문에서는 온라인에서 수집한 데이터에 노이즈를 제거하고, 키워드 기반 불법복제물을 검색한다. 또한, heavy uploader 대상 프로파일링 분석을 통해 동일 heavy uploader를 추정해 간다. 향후, 불법복제물 검색기술과 heavy uploader 대상 프로파일링 분석 결과를 바탕으로 차단 및 대응기술이 결합하면 저작권 피해를 최소화할 것으로 기대한다. With the development of internet technology, a lot of content is produced, and the demand for it is increasing. Accordingly, the number of contents in circulation is increasing, while the number of distributing illegal copies that infringe on copyright is also increasing. The Korea Copyright Protection Agency operates a illegal content obstruction program based on substring matching, and it is difficult to accurately search because a large number of noises are inserted to bypass this. Recently, researches using natural language processing and AI deep learning technologies to remove noise and various blockchain technologies for copyright protection are being studied, but there are limitations. In this paper, noise is removed from data collected online, and keyword-based illegal copies are searched. In addition, the same heavy uploader is estimated through profiling analysis for heavy uploaders. In the future, it is expected that copyright damage will be minimized if the illegal copy search technology and blocking and response technology are combined based on the results of profiling analysis for heavy uploaders.

운동 프로그램이 내반슬 교정에 미치는 영향

최광윤 ( Kwang Yun Choi ),김진강 ( Jin Gang Kim ),최문영 ( Moon Young Choi ),김미경 ( Mi Kyeong Kim ),이휘진 ( Hw Ijin Lee ),정유진 ( Yu Jin Jung ),이건희 ( Geon Hee Lee ),박미림 ( Mi Rim Park ),권민정 ( Min Jung Kwon ),양명은 ( M 대한통합의학회 2013 대한통합의학회지 Vol.1 No.1

The purpose of this study was to research the effects of exercise programs on genu varum persons` distance of between two legs. Method 40 persons who had genu varum were participated in this research. Randomly, among 30 were allocated in experimental group and others were allocated in control group. Stretching exercises, bend exercises and joint mobilization were applied to the experimental group for 6 weeks. For the statistical analysis, we used the independent t-test and the paired t-test. Result Stretching exercises, bend exercises and joint mobilization had statistically effects on distance of knees with gathering legs, distance of knees, distance of malleoluses, differences of distance from between malleoluses to between knees by GPS. Stretching exercises, bend exercises and joint mobilization had statistically effects on distance of knees, distance of malleoluses by ruler. Conclusion Therefore, this study showed that stretching exercises, bend exercises and joint mobilization influenced on the change of genu varum.