• Journal of the Korea Institute of Information Security & Cryptology
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• v.22 no.3
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• pp.637-644
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• 2012

In our current information focused society, information is regarded as a core asset and the leakage of customers' information has emerged as a critical issue, especially in financial companies. It is very likely that the technology that safeguards which is currently in commercial use is not focused at an enterprise level but is fragmented by function or by only guards portions of a customer's personal information. Therefore, It is necessary to study the systems which monitor the indicators of access at an enterprise level in order to preemptively prevent the compromise of such data. This study takes an enterprise perspective on such systems for a financial company. I will focus on examination of the methods of implementation of the monitoring system, the application of pattern analysis and examination of Security Risk Indicators (SRI). A trial of the monitoring system provided security managers and related departments with proper screening capabilities of information. Therefore, it is possible to establish a systemic counter-plans based on detectable patterns.

• 한국항공운항학회:학술대회논문집
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• 2016.05a
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• pp.245-248
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• 2016

현대의 항공테러는 단순한 항공기 납치뿐만 아니라 항공기의 공중 폭파, 항공기에 대한 미사일 공격, 공항과 승객에 대한 공격, 그리고 항공 외부 시설에 대한 공격 등 실로 다양한 형태로 자행되고 있다. 항공 교통에서의 불법 방해행위를 사전에 방지하기 위해서는 출발지의 보안 검색이 무엇보다도 중요하며, 이를 위해서 사전 예방적 선제적 항공보안관리 체계 전환, 출입부터 탑승까지 전 과정을 프로세스화한 점검활동 강화, 국제권고기준 항공보안장비 보유와 첨단화 등 미래 변화에 대한 능동적 대처뿐만 아니라 정확한 보안검색과 고객편의의 융합을 통해 세계 최고 공항으로 지향하며, 행동탐지기법의 도입을 통해 일상적이고 포괄적인 보안검색 운영의 약점을 보완하여 항공보안 강화의 토대를 마련해야 하고, 불법 방해행위의 억지를 위해 2015년부터 새롭게 실시하는 국제민간항공기구 상시 모니터링 제도의 항공보안 평가(USAP-CMA) 방식을 적극 검토하여 국정원 공항공사 항공사 등 관련기관 정보 공유, 지속적인 모니터링 및 국내 국제민간항공기구(ICAO) 인증 항공 보안평가관 등과 철저히 대비한 세부 대응 계획을 수립하고 항공보안 전문가 육성을 강구하여야 한다.

• Proceedings of the Korea Association of Information Systems Conference
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• 1998.10a
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• pp.20-30
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• 1998

고도화된 정보통신의 확산으로 인해 인터넷(internet)을 통한 지역간의 거리를 극복 한 전자상거래가 점점 발달하고 있으며 이에 따른 시장의 잠재성 또한 커지고 있다. 그러나 현재 구축된 인터넷 쇼핑몰도 그 규모나 숫자에 비해서 매출액은 아직 높은 편이 아니다. 이에 대한 많은 이유가 있겠지만 가장 큰 이유중의 하나가 구매자 수의 부족을 들을 수 있 다. 이에 본 연구에서는 인터넷 쇼핑몰에 방문한 고객이 기꺼이 구매할 수 있는 환경을 제 공해 주기 위해 '지능형 메타몰(Intelligent Meta-Mall)'을 제안하고, 인터넷 쇼핑몰 중에서 사용자가 직접 마주치는 부분인 프론트 오피스(Front Office) 부분에서 제공되어야 하는 기 능 37가지를 제안하였다. 그리고 이들 기능을 일반관리 기능 및 소비자 구매과정 모형에 따 라 분류한 후, 현재 국내에서 운영되고 있는 쇼핑 몰의 웹마스터에게 설문조사를 실시함으 로써 상대적으로 중요한 기능과 불필요한 기능들을 파악하였다. 상대적으로 중요한 기능은 (1) One-stop Shopping 기능, (2) 비교쇼핑기능, (3) 단어(keyword) 탐색 기능, (4) 보안 모니터링 기능, (5) 부도 보증 기능, (6) 반품 관리 기능, (7) 속달 기능, (8) One-stop Payment 등으로 조사되었다. 상대적으로 불필요한 기능은 (1) 경매제품 탐색 기능, (2) 인 터페이스 수정 기능, (3) 사이버 머니 제공 기능, (4) 신원확인 기능, (5) No Blank 페이지 제공 기능, (6) 기본 사양 여과(filtering) 기능, (7) 다국어 지원 기능, (8) 보안 모니터링 기 능 등으로 조사되었다.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2021.10a
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• pp.613-617
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• 2021

According to the growth of the service industry, stresses from emotional labor workers have been emerging as a social problem, thereby so-called the Emotional Labor Protection Act was implemented in 2018. However, insufficient substantial protection systems for emotional workers emphasizes the necessity of a digital stress management system. Thus, in this paper, we suggest a stress detection system for customer service representatives based on deep learning facial expression recognition. This system consists of a real-time face detection module, an emotion classification FER module that deep-learned big data including Korean emotion images, and a monitoring module that only visualizes stress levels. We designed the system to aim to monitor stress and prevent mental illness in emotional workers.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.31 no.10B
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• pp.936-944
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• 2006

In order to enhance their own customer satisfaction index that is one of the top level managerial performance indices, Internet communication service providers endeavor onto establishing a total quality management system. Specifically, it is under discussion that some critical Internet communication network quality characteristics closely related to customer satisfaction index should be controlled aiming to this managerial goal. This paper presents an application scheme of I-MR control charts for monitoring Internet communication network quality characteristics. This statistical quality control scheme generates a signal to practitioners when it detects the network quality characteristics out-of control. It is designed based on; 1) individual measurements; and 2) moving ranges between two consecutive individual measurements collected with a constant time interval. Empirical analyses are illustrated to estimate the expected quality improvement ratios that can be realized with the application scheme proposed in this paper. Assuming that the assignable causes can be revealed and eradicated, regarding two Internet communication services A, B, seven network quality characteristics for each service, eleven distinct measuring spots for each network quality characteristic, the expected quality improvement ratios are calculated with which the effect of the application scheme is evaluated. Results show the ranges of the expected quality improvement ratios; 1) Service A, (1) mean (0.31%-11.44%), (2) standard deviation (9.82%-71.10%): 2) Service B, (1) mean (0.29%-17.64%), (2) standard deviation (8.05%-60.59%). Hence, It is anticipated that the I-MR control charts based application scheme can be effective not only to improving the mean and dispersion of the network quality characteristics concerned but also to maintaining the network quality characteristics in-control consequently.

• The KIPS Transactions:PartD
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• v.11D no.5
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• pp.1205-1212
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• 2004

As electronic commerce systems have been widely used, the necessity of adaptive e-commerce agent systems has been increased. These kinds of adaptive e-commerce agents can monitor customer's behaviors and cluster thou in similar categories, and include user's preference from each category. In order to implement our adaptive e-commerce agent system, in this paper, we propose an adaptive e-commerce agent systems consider customer's information of interest and goodwill ratio about preference goods. Proposed system build user's profile more accurately to get adaptability for user's behavior of buying and provide useful product information without inefficient searching based on such user's profile. The proposed system composed with three parts , Monitor Agent which grasps user's intension using monitoring, similarity reference Agent which refers to similar group of behavior pattern after teamed behavior pattern of user, Interest Analyzing Agent which personalized behavior DB as a change of user's behavior.

• Journal of KIISE:Computing Practices and Letters
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• v.8 no.2
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• pp.206-218
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• 2002

In this paper, we design and implement a system that presents a method for selecting and providing personalized services independently without unifying the existing system platform with shopping malls joined in the hub site. This system provides a mechanism for gathering information left behind by many clients visiting Web sites for analysis of customers property, vector model for selecting personalized services, and mechanism for providing them to customers who visited in a shopping mall joined to the hub site. In a position of shopping mall site, this kind of personalization system can provide target advertisement, point marketing, and point share service etc. without changing existing shopping mall's environment through wrapper web server. Hub site customers can get personalized services from many shopping mall sites with only once registration for the hub site.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.19 no.10
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• pp.2241-2246
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• 2015

Recently for efficient management, companies have collected and investigated information about customers' feedback by using a system that analyzes big data from social media. This paper proposes more accurate and efficient evaluation method of collecting and investigating customers' feedback using social big data for travel agency, which is representative company of hospitality industry. First, it designs service model and, as a test-bed, analyzes media channel, customer satisfaction, and brand-image etc. of big 5 travel agencies in Korea. In addition, we suggest an analysis result of evaluating preference with positive rate and negative rate by proposed evaluation method. It allows a travel agency to know which area should be improved corresponding to evaluation item; thus, suggested evaluation method is effective to manage customers even more efficiently.

• Journal of Intelligence and Information Systems
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• v.9 no.3
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• pp.23-47
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• 2003

Traditional studies for customer relationship management (CRM) generally focus on static CRM in a specific time frame. The static CRM and customer behavior knowledge derived could help marketers to redirect marketing resources fur profit gain at that given point in time. However, as time goes, the static knowledge becomes obsolete. Therefore, application of CRM to an online retailer should be done dynamically in time. Customer-based analysis should observe the past purchase behavior of customers to understand their current and likely future purchase patterns in consumer markets, and to divide a market into distinct subsets of customers, any of which may conceivably be selected as a market target to be reached with a distinct marketing mix. Though the concept of buying-behavior-based CRM was advanced several decades ago, virtually little application of the dynamic CRM has been reported to date. In this paper, we propose a dynamic CRM model utilizing data mining and a Monitoring Agent System (MAS) to extract longitudinal knowledge from the customer data and to analyze customer behavior patterns over time for the Internet retailer. The proposed model includes an extensive analysis about a customer career path that observes behaviors of segment shifts of each customer: prediction of customer careers, identification of dominant career paths that most customers show and their managerial implications, and about the evolution of customer segments over time. furthermore, we show that dynamic CRM could be useful for solving several managerial problems which any retailers may face.

• Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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• v.8 no.9
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• pp.169-178
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• 2018

The ice machine is the machine for making ice. As most of the companies that manufactures and sells the ice machine are small and medium-sized companies, they have been they have been experiencing the trouble for the after-sales service after selling the machine. The difficulties of the after-sales service are mostly caused by unnecessary customer service requests of the purchaser, which eventually leads to the unnecessary expenditure of the seller and the purchaser. However, financially, the poor ice machine manufacturers want to reduce this cost as much as possible. Furthermore, even if they want to sell their products overseas, they are hesitating because of the after-sales service. For this reason, the companies making the ice machine need a system which checks the status of the ice machine and takes the proper actions without the visiting service. Therefore, this paper introduces the remote control and operational status monitoring systems which can monitor the status of the ice machine in the remote area and control it as needed. Through the developed system, the company manufacturing the ice machine and the manager of the ice machine can understand the current status of the ice machine and respond against the ice machine's trouble, immediately. In addition, it can be expected to have great effects on cost reduction because the maintenance and management after selling can be efficiently performed.