• 한국통신학회논문지
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• 제33권8B호
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• pp.727-734
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• 2008

오늘날 네트워크 규모가 확대되고, 다양한 서비스가 개발됨과 동시에 공격기법들 또한 함께 진화하고 있다. 이러한 공격기술들에 대해 다양한 보안시스템들을 적용하고 있으며, 이들 보안시스템 중, 아웃바운드(Outbound) 네트워크 공격에 효과적으로 대응하기 위한 방화벽의 사용은 네트워크 보호에 필수적이다. 하지만 이러한 전형적인 방화벽(Conventional Firewall)은 오히려 인바운드(Inbound) 네트워크의 성능 및 보안성 저하에 직접적인 영향을 미치고 있으며, 내부 공격에 효과적이지 못하다. 따가서 본 논문에서는 인바운드 네트워크의 성능 및 보안성을 향상시키기 위해 보안대상에 따른 "기능성벽화벽(Functional Firewall)"을 제안하고자 한다.

• 한국의류산업학회지
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• 제8권4호
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• pp.427-432
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• 2006

The purpose of this study was 1) to segment the market of inbound Japanese tourists based on the importance of tour activity that tourists perceived and 2) to examine the behavior of each segmentation purchasing cultural fashion items in Korea. Data were collected using a self-administered questionnaire survey in Seoul. Clustering analysis, Chisquare, and ANOVA test were used to conduct the data analysis on 288 out of 400 questionnaires. The inbound Japanese tourists market was segmented into 3 groups; culture oriented group, shopping oriented group, and multi-activity group. Three groups were significantly different in terms of age, income, purchase amount, purchase criteria, and degree of shopping satisfaction. Marketing strategies for segmented markets were discussed.

• 대한산업공학회지
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• 제37권4호
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• pp.342-349
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• 2011

This paper considers the inbound and outbound truck scheduling problem in a cross docking terminal. The unloading process from inbound trucks and loading process to outbound trucks are assumed to be performed within a time window. If some items are not able to be loaded to their scheduled outbound trucks within the time window, they are stored in the terminal and shipped using the truck visiting the next time window. The objective of this paper is to schedule inbound and outbound trucks to minimize the number of items unable to ship within the time window. A mathematical model for an optimal solution is derived, and a rule-based local search heuristic algorithm and genetic algorithm (GA) are proposed. The performance of the algorithms are evaluated using randomly generated several examples.

• 대한안전경영과학회지
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• 제8권3호
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• pp.103-114
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• 2006

A cross docking operation involves multiple trucks (known as inbound trucks) that deliver items from suppliers to a distribution center and multiple trucks (known as outbound trucks) that ship items from the distribution center to customers. Based on customer demands, an inbound truck may have its items transferred to multiple outbound trucks. Similarly, an outbound truck can receive its consignments from multiple inbound trucks. A unique characteristic of a cross docking system is the absence or prohibition of long term storage of items at the distribution center. Items delivered to the distribution center from suppliers are shipped to customers as soon as possible without being placed in storage in the distribution center. The objective of this paper is to develop the optimal operational strategy for finding the best truck docking sequence for both inbound and outbound trucks in order to minimize total operation time where a temporary storage area is not available in a cross docking system.

• 한국지역지리학회지
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• 제16권4호
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• pp.400-416
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• 2010

중국은 개혁개방 이후 입국관광을 경제성장을 위한 주요 동력 중의 하나로 인식하고 외국인의 중국 방문을 적극적으로 지지하였다. 이에 외국인 관광객 수가 빠르게 증가함에 따라 중국은 2008년 현재 입국관광객 수 기준 세계 4위에 올라 있다. 이 연구에서는 중국의 관광통계 자료를 토대로 중국의 입국관광 성장을 살펴보고 지역단위(31개 성급 행정구역)에서 방중 외국인 관광객의 공간적 분포에 대해 1995년과 2008년을 비교분석하였다. 특히 6개 국가(한국, 일본, 싱가포르, 미국, 독일, 러시아)를 대상으로 공간적 분포의 특징과 변화를 파악하는데 중점을 두었다. 러시아를 제외한 5개 국가의 경우, 국가별로 조금씩 차이가 있을지라도, 여전히 관광객이 동부지역에 밀집되어 있고 서부지역으로 갈수록 그 분포가 희박한 반면, 중부지역의 방문이 점점 더 증가하고 있다. 반면 러시아는 북부지역과 최남단지역의 방문이 두드러져 상당히 다른 분포 패턴을 보였다. 이 연구는 중국의 입국관광 관점에서 중국 지역의 변화와 역동성을 이해하고자 하였다.

• 통상정보연구
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• 제10권1호
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• pp.395-414
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• 2008

The objective of this study is to introduce the concepts and theories of conditional heteroscedastic volatility models and the news impact curves and apply them to the Korea inbound tourism market. Three volatility models were introduced and used to estimate the conditional volatility of monthly arrivals of inbound tourists into Korea and news impact curves according to the three models. Results of this study are as follows. As the proportion of American tourists occupied a large amount of Korea inbound tourism market, the markets' forecasting is very important. The news impact curves which used EGARCH model (1,1) and TGARCH model(1,1), with data on these tourists to Korea showed an asymmetry effect of volatility. It was common that bad news means that it was estimated more sensitively than good news. From these results, we will notice that American tourists who visited Korea only for tourism are affected by good news. The result suggests that the Korea government and tourism industry should pay more attention to changes in the tourism environment following bad news because conditional volatility increases more when a negative shock occurs than when a positive shock occurs.

• 대한산업공학회지
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• 제37권3호
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• pp.248-257
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• 2011

Cross docking is a logistics management concept in which items delivered to a terminal by inbound trucks are immediately sorted out, routed and loaded into outbound trucks for delivery to customers. Two main advantages by introducing a cross docking terminal are to consolidate multiple smaller shipment into full truck load and remove storage and order picking processes to save up logistics costs related to warehousing and transportation costs. This research considers the scheduling problem of trucks in the cross docking terminals with multi-door in an inbound and outbound dock, respectively. The trucks sequentially deal with the storage process at the one of inbound doors and the shipping process at the one of the outbound doors. A mathematical model for an optimal solution is derived, and genetic algorithms with two different chromosome representations are proposed. To verify performance of the GA algorithms, we compare the solutions of GAs with the optimal solutions and the best solution using randomly generated several examples.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제15권6호
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• pp.2031-2048
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• 2021

Not only can air pollution reduce the overall competitiveness of tourist destinations, but also changes tourists' travel decisions, thereby affecting the tourism flows. The study presents a machine learning method to analyze how the haze pollution puts spatial effect on tourism flows in China from 2001 to 2018, and reveals the regional differences in heterogeneity among eastern, central, and western China. Our investigation reveals three interesting observations. First, the Environmental Kuznets Curve of the impact of haze pollution on tourism flows is not significant. In the eastern and western regions, the interaction between haze pollution and domestic tourism flows as well as inbound tourism flows shows an inverted U-shaped curve respectively. Second, there is an significantly positive spillover effect of tourism flows in all of the eastern, central, and western regions. As to the intensity of spillover, domestic tourism flows is higher than that of the inbound tourism flows. Both of the above figures are greatest in the eastern. Third, the Chinese haze pollution mainly reduces the inbound tourism flows, and only imposes significantly negative direct effects on the domestic tourism flows in the central region. In the central and eastern regions, significantly negative direct effects and spillover effects are exerted on inbound tourism.

• 벤처창업연구
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• 제11권3호
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• pp.27-35
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• 2016

미래창조과학부는 공공기술 기반 기술창업을 가속화 하기 위해 2016년부터 '연구소기업'의 설립을 촉진하고 이에 대한 지원을 강화하고 있다. 이에 본 연구는 공공기술 기반 기술창업 활성화의 문제를 진단하고 이에 대한 글로벌 관점의 성공기술창업플랫폼을 제안하는 것이 목적이다. 본 연구는 공공기술 기반 기술창업의 성과 창출궤적으로 제시되고 있는 공공기술-제조-BtoB-글로벌의 라인 중 글로벌 관점에서 공공기술 기술창업기업의 성과창출을 도모할 수 있는 방안에 대해 전문가 인터뷰조사와 사례조사 등을 통해 연구를 수행하였다. 연구 결과, 공공기술기반 기술창업인 연구소기업등은 질적인 성과 즉 성공적 회수사례를 창출하기 위해서는 현재의 양적인 성과에서 벗어나 창업초기 신규창출형 연구소기업에 대한 민간벤처투자가 활성화하되 공공기술의 특징과 이의 사업화 속성을 적절히 반영한 인큐베이션 모델의 도입이 필요하고, 혁신적인 사례창출을 다수하기 위해서는 글로벌 성과창출이 요구됨을 도출하였다. 특히 본 연구는 이에 대해 공공기술 기술창업의 문제를 배태한 성공창업 솔루션 플랫폼으로 "국내기반형(Inbound)" 글로벌 창업플랫폼을 제안하고 있다.

• 지능정보연구
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• 제9권2호
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• pp.121-133
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• 2003

Due to the rapid growth of Internet, means of communication with customers in a traditional customer support environment such as telephone calls are being replaced by mainly e-mail in a Web-based customer support system. Although such a Web-based support is efficient and promises potential benefits for firms, including reduced transaction costs, reduced time, and high quality of support, there are some difficulties associated with responding to many types of customer's inbound e-mails appropriately. As many types of e-mail are received, considerable attention is being paid to methods for increasing the efficiency of managing and responding e-mails. This research proposes an intelligent system for managing customer's inbound e-mails in organizations by applying case based reasoning technique for responding to various customers' inbound e-mails more effectively. In this approach, a case is represented as a frame-typed data structure corresponding to an inbound e-mail, keywords, and its reply e-mail. In the retrieval procedure, keywords and affinity set is developed to index a case, and then the case is represented as a vector, a case vector. Also, cosines value is calculated to measure the similarity between a new inbound e-mail and the cases in the case base. In the adaptation procedure, we provide several adaptation strategies to adapt and modify the retrieved case. The strategies guide to make an outbound e-mail using product databases, databases for customer support, etc. Additionally, the Web-based system architecture is proposed to implement our methodology. The proposed methodology and system will be helpful for developing more efficient Web-based customer support.