Recently, information systems(IS) outsourcing has become a very important management strategy of implementing IS and many studies on the IS outsourcing approach had been largely performed in the organizations, but it isn't still show how to outsource the IS functions and how to decide quantitative magnitude for judgement. To offer a quantitative decision model that can help practitioners set priority and reap the most benefits from outsourcing, we show outsourcing structure including 3 factors(strategic benefit, economic benefit and technological benefit) and sub-levels which. is different from the Yang and Huang's model. Also, we compute the weight of alternatives using analytic hierarchy process to find a priority of the IS outsourcing. As a result of analysis, we suggest systematic steps and quantitative model to increase the precision of decision making.

This paper deals with Activity Analysis Method that is important procedure in Activity Based Costing System Implementation. There are many existing Activity Analysis Method, for example Interview, Questionnaire, Specialist Discussion and Work Measurement. Activity Analysis Data gained through this method has high reliability but this method bring about high cost. In case that certain company needs a strategic costing system, Activity Analysis Method which has high reliability will be need. But, if companies want the costing system as a internal decision making tool only, they need to design the ABC system fast and cheaply. This paper explains that Activity Analysis using existing finn material is good alternatives. So, this paper show the feasibility of Activity Analysis using existing firm material with comparing between job description, job specification information and Activity Analysis information.

Nowadays the role of information systems is getting more and more increased according to the development of information technology. In order to manage complex, various and huge data, it is vital to construct efficient information system. For this effective information system, data have properly to be stored, encoded and represented when needed. This paper presents equipment management information system using wireless application protocol. This system enables us to have remote control of data searching and data management. Also, through the technique of data mining, database resulted from this system can be utilized into expectation and analysis about life-cycle, characteristic, and failure time of equipment, pattern recognition of users, and state of movement, etc.

본 연구는 철골 건축구조물에 관한 정보의 표현과 교환을 위하여 STEP을 이용한 구조해석 및 설계용 통합 시스템의 모델을 제시한다. 이러한 통합시스템을 구축하기 위하여 철골 구조물 제품모델을 위한 AP 230을 근간으로 기하 및 위상 정보를 나타낼 수 있는 Part 42와 상세한 구조해석을 표현할 수 있는 Part 104을 추가시키고자 한다. 이렇게 함으로서 철골구조물에 관한 종합적인 엔지니어링 정보의 표현을 보다 명확하게 하고 또한 정보의 교환을 보다 쉽게 할 수 있게 된다. 이러한 통합시스템의 개발모델에 따르면 구조물에 관한 상세정보와 시공정보들도 쉽게 추가할 수 있다.

정보 검색 분야의 문서 분류에 기계 학습 기법을 적용할 때 발생하는 가장 큰 문제는 문서를 패턴으로 표현할 때, 하나의 패턴이 가지는 특징의 수가 기계 학습 기법에서 처리할 수 있는 범위를 넘어서는 것이다. 이러한 문제를 해결하기 위하여 특징 선택 기법은 패턴을 구성하고 있는 특징 중에서 실제 문서 분류에 많은 영향을 주는 특징만을 선택하여, 기계 학습 기법에서 쉽게 처리할 수 있을 정도의 패턴을 구성하게 한다. 본 논문에서는 이러한 특징 선택 기법 중에서 IG(Information Gain), Gini index, Relief-F, DF(Document Frequency)를 비교하였다. 실험 결과 문서들에 포함된 모든 고유 단어를 특징의 길이로 하여 패턴을 구성했을 때보다 특징 선택 기법을 적용하여 고유 단어 중 일부를 특징으로 패턴을 구성할 때 기계학습에서 더 향상된 분류 성능을 보였다

최근 개발의 압력을 받고 있는 충청북도 영동 민주지산을 대상으로 산림의 질을 평가하고 관리대상을 제시하고자 73개 조사구를 설정하여 조사를 실시하였다. 분석을 위해 27개의 식생과 지리정보변수를 마련하였다. 자료의 양을 줄이기 위해 ordination 기법과 요인분석을 사용하여 변수를 축소시켰다. 식생을 분석한 결과 다섯 개의 군집으로 분류되었으며, 이는 DCA에서도 비슷한 경향을 나타내었다. 요인분석에서는 13개의 변수가 5개가 요인으로 압축되었는데, 요인 1은 수종의 풍부도, 요인 2는 건중량, 요인 3은 밀도, 요인 4는 임령 그리고 요인 5는 지리적 특성으로 나뉘어졌다. 천이상황를 예측하는 모형은 다중회귀로 표현되었고, 주요 변수로는 유기물의 깊이, Shannon의 종다양도 그리고 흉고직경이 사용되었다. 그리고 GIS를 이용한 산림관리의 의사결정과정을 도출하였다.

In this paper, among the W-S-R relationship methods proposed by Lee, et. al., (2020) to produce rain-based rain information in real time, we tried to produce actual rain information by applying machine learning techniques to take into account the effects of wiper operation. To this end, rain sensor proposed the Graded Descent and Threshold Map method for pre-processing the cumulative value of the difference before and after wiper operation by utilizing four sensitive channels for optical sensors developed by Kim Byung-sik (2016) and using rain sensor data produced by five rain conditions in indoor artificial rainfall experiments. This method is the method of producing rainfall information by calculating the average value of the Threshold according to the rainfall conditions and channels, creating a Threshold Map corresponding to the grid 4 (channel) x 5 (thinking of rainfall information) and applying Optima Rainfall Intensity among the big data processing techniques. For the verification of these proposed findings, the application was evaluated by comparing the rainfall observations with the methods presented by Lee, et. al., (2020).

목적: 본 연구는 주변시를 통한 시각정보의 이용가능성이 주의초점효과에 미치는 영향을 규명하는 것이다. 방법: 골프 경험이 없는 남/여 대학생 36명을 대상으로 하였으며, 내적주의초점, 외적주의초점, 주변시가 통제된 내적주 의초점, 주변시가 통제된 외적주의초점집단에 무작위로 9명씩 배정되었다. 실험과제는 2m, 3m, 5m 지점에서 최대한 정확하게 목표지점으로 퍼팅을 수행하는 것이다. 결과: 내적주의초점집단에서 퍼팅수행의 정확성 및 일관성이 가장 높은 것으로 나타났다. 주변시 통제에 따른 주의초점조건에서는 수행의 차이가 나타나지 않았으며, 독립 변인 간 상호작용 또한 나타나지 않았다. 결론: 초보자들의 골프퍼팅과제에서는 학습초기에 외적주의초점보다 내 적주의초점형태로 제시되는 주의지침이 동작을 제어하는데 더 적합할 수 있으며 과제거리가 무작위로 제시되는 복잡한 과제에서도 내적주의초점이 보다 효율적인 주의초점형태인 것으로 사료된다.

Alternative navigation in underwater environments is essential to prevent accumulating drift error of dead reckoning. In case of using an external positioning system, the installation and management process of the transmission station is cumbersome, and the operation range of underwater vehicle is limited. In order to solve this problem, navigation using geophysical information such as terrain, geomagnetic field and gravity can be used. Unlike the terrain, geomagnetic field and gravity are composed of 3-D information, so continuation process is required. In this paper, we present a integrated navigation algorithm using multiple geophysical information for long-term operation of UUV. The proposed algorithm is verified through numerical simulation in an artificially generated environments. As a result, integrated navigation showed higher navigation accuracy than single alternative navigation.

목적: 본 연구는 골프 숙련자를 대상으로 주의초점의 효과를 변화시킬 수 있는 중재요인으로 고려된 주변시를 통해 입수되는 시각정보가 외적주의초점효과에 미치는 영향을 규명하고자 하였다. 방법: 현재 KPGA에 소속된 선수 30명을 대상으로 외적주의초점, 주변시가 통제된 외적주의초점 그리고 통제집단에 무작위로 배정하여 퍼팅과제를 실시하였다. 실험단계에서 각 집단의 피험자들은 실험처치에 따라 다양한 과제거리(2m, 3m, 5m)에서 퍼팅을 실시하였으며 수행의 정확성과 퍼팅의 운동학적 변인인 정렬, 퍼팅경로 그리고 스윙속도를 측정하였다. 결과: 흥미 롭게도 통제집단에서 퍼팅수행의 정확성(MRE) 및 일관성(BVE)이 가장 높은 것으로 나타나 외적주의초점의 우수성을 설명하는 ‘제한된 행동가설’을 지지하지 못하는 결과가 나타났다. 외적주의초점과 주변시가 통제된 외적주의 초점 집단 간에는 통계적으로 유의미한 차이가 나타나지 않았기 때문에 시각정보가 주의초점의 효과를 변화시킬 수 있는 중재요인임은 확인할 수 없었다. 결론: 숙련된 골프선수들에게는 주변시를 통한 시각정보가 외적주의초점효과에 영향을 미치지 않는 것으로 나타났으며 이는 골프종목에서 나타나는 주시점 고정이라는 시각전략에 따 른 결과로 사료된다. 또한 선수들에게는 외적주의초점보다는 선수 개인의 주의전략을 사용하는 것이 퍼팅과제 수행에 효율적임을 시사한다.

By using the raw data of the 2015 Agriculture, Forestry and Fishery Consensus that surveyed the farmers engaged in agriculture, forestry and fishery in 2015, this study investigated the effects of the characteristics of the farms in Gangwon-do on the utilization of the digital devices, which was classified into computers usage only, smartphones usage only, both computers and smartphones usage, and no digital device usage. This study used the Multinomial Logit Model for the above purpose. Moreover, the IIA(Independence of Irrelevant Alternatives) method of the Multinomial Logit Model was analyzed to be suitable. Upon the result of the analysis, when all the other variables were constant in the average, the probability of choosing both computers and smartphones increased by 0.02% as the family member living together with the farm owner increased by 1 person. In addition, the farms with agricultural machineries have 0.03% increased probability of using smartphones to sell their agricultural products, when compared with the farms without agricultural machinery. Moreover, for the farms with high sales profit of the agricultural products, the probability of using computers and the probability of using smartphones increased by 0.04% and 0.01%, respectively, and the probability of using both computers and smartphones increased by 0.02%. On the other hand, for the farms affiliated with the agricultural organization, the probability of using both computers and smartphones increased by 0.17%, and the probability of using only smartphones and the probability of using only computers increased by 0.16% and 0.15%, respectively. In case of selling to the National Agricultural Cooperative Federation(NACF), the probability of using smartphones increased by 0.11% if all other variables were to be constant in the average. In particular, the farms participating in the agriculture-related industries have 1.09% increased probability of using computers, have 0.92% increased probability of using smartphones, and 0.85% increased probability of using both computers and smartphones. Therefore, the implications suggested based on the results of the analysis are as follows. First, the farms' choices of the digital devices are made independently. Hence, the future agricultural industry business platform establishment should necessarily consider the types of farms' choices of the digital devices in the future. Second, since the usage of digital devices has a generally positive influence on the farm household income, digital education to improve farmers’ ability to use the digital devices should be urgently provided in order to improve the farm household income in the farms in Gangwon-do. Third, because the digital devices used to sell agricultural products differ depending on the age of the farm owner, it would be desirable to target the younger generation of the farm owners rather than establishing the agricultural industry business platform for the farms in the aged farm villages. Fourth, it would be advisable for the future agricultural business platform to consider the characteristics of agricultural products sales source.

Purpose - This study aimed to identify the sub-dimensions of fashion social media quality (information quality, social quality, service quality, system quality) and investigate how they affect purchase intention through fashion information use behavior (information acceptance, information diffusion). Research design, data, and methodology – Data collection was carried out twice for systematic verification of the research model. In the first data collection, the reliability and validity of research variables were verified through 238 respondents and questionnaires were revised and supplemented based on their responses. In March 2018, the final survey was conducted from 755 respondents the age of 20 to 49. Using SPSS 23.0, descriptive statistics, exploratory factor analysis, correlation analysis were performed. In order to test hypotheses, structural equational modeling technique was employed using AMOS 23.0. Results - First of all, fashion Social media quality consists of four factors including information quality, social quality , service quality and system quality. Second, fashion Social media information quality, social quality , and system quality were shown to have a positive(+) effect on information acceptance behavior, and social quality , service quality and system quality were shown to have a positive(+) effect on information diffusion behavior. It was also determined that the acceptance and diffusion behaviors of fashion information through fashion Social media had positive(+) influence on purchase intention. Conclusions - This study holds academic significance in its identification of the components of fashion Social media quality and for conducting an empirical analysis on the causal relationship between fashion information acceptance and diffusion behaviors, and purchase intention. The results of this study indicate that fashion involvement is the key factors in determining the quality of Social media, the acceptance of information through Social media, and, by extension, the purchase of fashion products. Practitioners in the fashion industry may use the findings of this study in order to build more effective Social media strategy.