• Smart Media Journal
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• v.5 no.2
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• pp.33-41
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• 2016

FPS Games are usually centered on a combat game play where the player plays through a first-person perspective as the in-game character, in order to strike the opponent in accordance with each level's objective. In such type of game play, the decision making that leads the player to take certain actions is carried out based on the player's visual cognitive information, and information collected both directly/indirectly via previous game play experiences. Particularly in the case of a FPS game where the mutual interaction between the player and each game level is the key, an analysis of a FPS game player's visual cognitive information can provide intelligence which can help design or adjust structures of a game level. For this thesis, a sample group has been collected and divided into a novice group and an expert group based on their level of experience with FPS games. Then, using eye-tracking equipments, the point of gaze of players in each group were recorded whilst they were playing levels of a well-known FPS title. The point of gaze in the moment the player starts to take actions -right before/after the start of a combat- was recorded in 500 play videos, and as a result each group's intrinsic pattern of gaze could be identified. Through these results, the author plans to develop a methodology that can enhance the difficulty setting and the playability of FPS game levels.

• Journal of Intelligence and Information Systems
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• v.10 no.3
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• pp.39-57
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• 2004

Many dairy producers periodically receive information about their bulk tank milk with reference to bulk tank somatic cell counts, standard plate counts, and preliminary incubation counts. This information, when collected over a period of time, in combination with bulk tank mastitis culture reports can become a significant knowledge base. Several guidelines have been proposed to interpret farm bulk tank milk bacterial counts. However many of the suggested interpretive criteria lack validation, and provide little insight to the interrelationship between different groups of bacteria found in bulk tank milk. Also the linguistic terms describing bulk tank milk quality or herd management status are rather vague or fuzzy such as excellent, good or unsatisfactory. The objective of this paper was to develop a set of fuzzy descriptors to evaluate bulk tank milk quality and herd's milking practice based on bulk tank milk microbiology test results. Thus, fuzzy logic based reasoning methodologies were developed based on fuzzy inference engine. Input parameters were bulk tank somatic cell counts, standard plate counts, preliminary incubation counts, laboratory pasteurization counts, non agalactiae-Streptococci and Streptococci like organisms, and Staphylococcus aureus. Based on the input data, bulk tank milk quality was classified as excellent, good, milk cooling problem, cleaning problem, environmental mastitis, or mixed with mastitis and cleaning problems. The results from fuzzy reasoning would provide a reference regarding a good management practice for milk producers, dairy health consultants, and veterinarians.

• Journal of Intelligence and Information Systems
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• v.14 no.1
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• pp.1-17
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• 2008

Data mining is defined as the process of discovering meaningful and useful pattern in large volumes of data. In particular, finding associations rules between items in a database of customer transactions has become an important thing. Some data structures and algorithms had been proposed for storing meaningful information compressed from an original database to find frequent itemsets since Apriori algorithm. Though existing method find all association rules, we must have a lot of process to analyze association rules because there are too many rules. In this paper, we propose a new data structure, called a Frequent Pattern Network (FPN), which represents items as vertices and 2-itemsets as edges of the network. In order to utilize FPN, We constitute FPN using item's frequency. And then we use a clustering method to group the vertices on the network into clusters so that the intracluster similarity is maximized and the intercluster similarity is minimized. We generate association rules based on clusters. Our experiments showed accuracy of clustering items on the network using confidence, correlation and edge weight similarity methods. And We generated association rules using clusters and compare traditional and our method. From the results, the confidence similarity had a strong influence than others on the frequent pattern network. And FPN had a flexibility to minimum support value.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 1999.10a
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• pp.187-197
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• 1999

해양수산부가 개발 .운영 중인 항만운영정보시스템(PORT-MIS)은 선박입출항 관련 업무, 수출입 화물 반출입에 관한 업무, 항만시설물관리에 관한 업무, 의사결정지원시스템에 관한 업무 등 크게 4개 업무오 구성되어 있으며, 총 19개의 전자문서와 1,500여개의 단위 프로그램으로 구성되어 있다. 그동안 PORT-MIS를 권역별로 확대 운영하면서 발생한 여러 가지 문제점들을 보완하기 위해 해양수산부와 정보통신부(한국전산원)가 공동으로 $\ulcorner$수출입화물 일괄처리시스템 구축$\lrcorner$ 용역 사업을 현재 진행 중에 있다. 본 연구는 용역과업 내용에 포함되어 있지 않으면서 개선이 필요한 외항선(국전선.외국전선 포함) 선박입항보고서(최초.변경.최종)와 선박출항보고서(최초.변경.최종), 내항선입.출항신고서, 예선사용허가신청서 및 지정서, 도선사용허가신청서 및 지정서 등의 민원업무를, 사용자로 하여금 최소한의 노력으로 처리할 수 있도록 제출방법을 개선(EDI방식에서 온라인방식으로)하여 행정소요시간을 단축함으로써 PORT-MIS의 효율성을 높일 수 있는 방안을 제시하고자 한다. 이러한 노력을 통해 PORT-MIS EDI업무가 개선되어 선박입.출항보고를 1회롤 처리할 수 있다면 연간 29만9천건의 서류절감으로 약 1억3천7백만원의 물류비를 줄일 수 있으며, 시간 단축에 따른 간접비용을 계산하면 보다 많은 효과가 있다고 판단된다. 그리고 내항선입.출항신고서 및 예.도선업무를 EDI방식에서 온라인방식으로 전환함으로써 선사와 예선업체 및 도선사협회가 대화형식으로 업무처리가 이루어져 분쟁을 최소화 할 수 있다면, 전자문서 31만6천건/년 절감으로 1억3백만원/년의 예산이 절감될 것으로 예상된다.rr로 변화시켰고 inductive power는 200~800watt, bias voltage는 0~-200voltage로 변화시켰으며 식각마스크로는 SiO2를 patterning 하여 사용하였다. n-GaN, p-GaN 층 이외에 광소자 제조시 필수적인 InGaN 층을 100% Cl2로 식각한 경우에 InGaN의 식각속도가 GaN에 비해 매우 낮은 식각속도를 보였다. Cl2 gas에 소량의 CH4나 Ar gas를 첨가하는 경우와 공정압력을 감소시키는 경우 식각속도는 증가하였고, Cl2/10%Ar 플라즈마에서 공정 압력을 감소시키는 경우 식각속도는 증가하였고, Cl2/10%CHF3 와 Cl2/10%Ar 플라즈마에서 공정압력을 15mTorr로 감소시키는 경우 InGaN과 GaNrks의 선택적인 식각이 가능하였다. InGaN의 식각속도는 Cl2/Ar 플라즈마의 이온에 의한 Cl2/CHF3(CH4) 플라즈마에서의 CHx radical 형성에 의하여 증가하는 것으로 사료되어 진다.$ 이상을 나타내었다. 박막의 Sn/In atomic ratio는 0.12, O/In의 비율은 In2O3의 화학양론적 비율인 1.5보다 작은 1.3을 나타내었다.로 보인다.하면 수평축과 수직축의 분산 장벽의 비에 따라 cluster의 두께비가 달라지는 성장을 볼 수 있었고, 한 축 방향으로의 팔 넓이는 fcc(100) 표면의 경우 동일한 Ed+Ep값에 대응하는 팔 넓이와 거의 동일한 결과가 나타나는 것을 볼 수 있다. 따라서 이러한 비대칭적인 모양을 가지는 성장의 경우도 cluster 밀도, cluster 모양, cluster의 양 축 방향 길이 비, 양 축 방향의 평균 팔 넓이로부터 각 축 방향의 분산 장벽을 얻어낼 수 있을 것으로 보인다. 기대할 수 있는 여러

• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.5
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• pp.671-679
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• 2016

Bridges, which constitute one of the key facilities in a social infrastructure, are easily accessed and used by users, so that keeping their performance above a certain level is essential. According to various cases in the U.S., Japan and Europe with a long construction history, it is expected that the maintenance cost of bridges in Korea will increase continuously in the future, so a rational decision making system based on engineering factors is necessary to optimize the performance of and maintain them by allocating the limited budget efficiently. This study is a preliminary basic study for the purpose of developing a common asset management system for managing all of the bridges and maintaining the level of service provided by them. The scope of this preliminary study is limited to bridges in urban areas. The bridge asset management system for bridges in urban areas, their level of service (LOS) and performance measure (PM) were developed by carrying out a workshop consisting of both experts and stakeholders. The analysis on the weights of the value and performance measure for each performance indicator was carried out by using the multi-attribute utility theory and the AHP method. In order to confirm the application of the weight of the performance measure and value of the performance indicator, six bridges in an example city were selected, LOS analysis was applied and its results were reviewed.

• Journal of Information Management
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• v.40 no.3
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• pp.61-77
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• 2009

Recently, enterprises are protecting information assets with the various means of control and management. Nevertheless, they are confronted with the dilemma which the higher securitylevel they request, the lesser efficiency and productivity in short terms they acquire by the inconvenience of business process. In addition, in spite of the steady increase of organization's investment on information protection, the systematic way for the performance measurement of information protection has not been suggested, so that in reality, it is difficult to make the decision to invest on information-protection and elicit the direction to improve it. For this reason, this study intended to establish the concept of the protection and security of information assets of enterprises and to categorize the type of activities to protect information assets into management activity and control activity, and analyze the effects of management activity and control activity for information asset protection on the performance of information asset protection activity and organization. For this research, questionnaire survey was conducted with literature study and the PLS(Partial Least Square) was used to analyze the measurement model and hypotheses testing. The PLS analysis results indicate that management activity for information asset protection affects information asset protection performance. Further, organizational performance is influenced by information asset protection performance. Practical implications of these findings and future research implications are also discussed.

• The Korean Journal of Applied Statistics
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• v.28 no.5
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• pp.921-932
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• 2015

This study analyzed military personnel survivability in regards to offensive operations according to the scientific military training data of a reinforced infantry battalion. Scientific battle training was conducted at the Korea Combat Training Center (KCTC) training facility and utilized scientific military training equipment that included MILES and the main exercise control system. The training audience freely engaged an OPFOR who is an expert at tactics and weapon systems. It provides a statistical analysis of data in regards to state-of-the-art military training because the scientific battle training system saves and utilizes all training zone data for analysis and after action review as well as offers training control during the training period. The methodologies used the Cox PH modeling (which does not require parametric distribution assumptions) and decision tree modeling for survival data such as CART, GUIDE, and CTREE for richer and easier interpretation. The variables that violate the PH assumption were stratified and analyzed. Since the Cox PH model result was not easy to interpret the period of service, additional interpretation was attempted through univariate local regression. CART, GUIDE, and CTREE formed different tree models which allow for various interpretations.

• Korean Journal of Soil Science and Fertilizer
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• v.35 no.6
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• pp.387-394
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• 2002

This study was conducted to compare an econamical efficiency of a recommended rate of fertilizer with the criterion of the sustainable agriculture direct income support system(SADISS). Red pepper was cultivated with different fertilizer application levels of the standard amount of fertilizer for red pepper(SAFR), fertilizer recommended by soil testing for red pepper(FRST) and decrement of 20, 40, 60 and 80 percent of fertilizer recommended by soil testing for red pepper(DFRST 20, 40, 60, 80) and that of farmer's habitual practies fertilization (FHPF). The changes by different levels of applied fertilizer was compared with those of SADISS. The results were summirized as follows: No yield difference was found among the FHPF, SAFR, FRST and DFRST20, but yield decrease in FRST40, 60 and 80. T-N, $P_2O_5$ and $K_2O$ in FHPF were 24, 9 and 53 percent respectively, and it were the lowest ones among the treatments. Fertilizer efficiency of red pepper was decreased with application rate of fertilizer. Fertilization ratio of N and P in DFRST(40, 60, 80 percent) was not sufficiency for red pepper. Economical efficiency of FRST and DFRST20 showed sufficiently in comparison with FHPF. Therefore, it could be possible that FRST and DFRST20 were recommended as methods for SADISS in red pepper cultivation.

• Information Systems Review
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• v.17 no.3
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• pp.95-111
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• 2015

The recommendation system automatically provides the predicted items which are expected to be purchased by analyzing the previous customer behaviors. This recommendation system has been applied to many e-commerce businesses, and it is generating positive effects on user convenience as well as the company's revenue. However, there are several limitations of the existing recommendation systems. They do not reflect specific criteria for evaluating products or the factors that affect customer buying decisions. Thus, our research proposes a collaborative recommendation model algorithm that utilizes each customer's online product reviews. This study deploys topic modeling method for customer opinion mining. Also, it adopts a kernel-based machine learning concept by selecting kernels explaining individual similarities in accordance with customers' purchase history and online reviews. Our study further applies a multiple kernel learning algorithm to integrate the kernelsinto a combined model for predicting the product ratings, and it verifies its validity with a data set (including purchased item, product rating, and online review) of BestBuy, an online consumer electronics store. This study theoretically implicates by suggesting a new method for the online recommendation system, i.e., a collaborative recommendation method using topic modeling and kernel-based learning.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.18 no.4
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• pp.446-458
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• 2017

In order to make a decision about the acquisition of command control communication weapon systems considering the client's technology level requirements, the improvement of the domestic technology level and security of core technology, the person in charge can perform technology evaluation/analysis based on command control communication weapon system patent data. As a method of collecting such patent data, we can collect the patent data of government-designated (Defense Acquisition Program Act Article 35) companies (11 Major defense companies/9 General defense companies) through the Korea Intellectual Property Rights Information System (KIPRIS) of the Korean Intellectual Property Office (KIPO) In this way, we collected 1,526 patents and 134 International Patent Classification (IPC) types through the KIPRIS of the KIPO. Based on these data, we performed three types of analysis, General information analysis, Principal Components Analysis (PCA) and Network analysis, and extracted 27, 19 and 13 IPC types from them, respectively. Based on the above three analysis results, we confirmed 8 IPC types (F41A, F41G, G06F, G01S, H04B, H04L, H04M and H04W) as the key technologies and representative technology fields of domestic communication-electronics defense companies.