• Proceedings of the Korean Society for Agricultural Machinery Conference
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• 2017.04a
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• pp.159-159
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• 2017

스마트 시설환경은 대표적으로 원예, 축산 분야 등 여러 형태의 농업현장에 정보 통신 및 데이터 분석 기술을 도입하고 있는 시설화된 생산 환경이라 할 수 있다. 근래에 하드웨어적으로 급증한 스마트 시설환경에서 생산되는 방대한 생육/환경 데이터를 올바르고 적합하게 사용하기 위해서는 일반 산업 현장과는 차별화 된 분석기법이 요구된다고 할 수 있다. 소프트웨어 공학 분야에서 연구된 빅데이터 처리 기술을 기계적으로 농업 분야의 빅데이터에 적용하기에는 한계가 있을 수 있다. 시설환경 내/외부의 다양한 환경 변수는 시계열 데이터의 난해성, 비가역성, 불특정성, 비정형 패턴 등에 기인하여 예측 모델 연구가 매우 난해한 대상이기 때문이라 할 수 있다. 본 연구에서는 근래에 관심이 급증하고 있는 인공신경망 연구 소프트웨어인 Tensorflow (www.tensorflow.org)와 대표적인 Open source인 OpenNN (www.openn.net)을 스마트 시설환경 환경변수 상호간 상관성 분석에 응용하였다. 해당 소프트웨어 라이브러리의 운영환경을 살펴보면 Tensorflow 는 Linux(Ubuntu 16.04.4), Max OS X(EL capitan 10.11), Windows (x86 compatible)에서 활용가능하고, OpenNN은 별도의 운영환경에 대한 바이너리를 제공하지 않고 소스코드 전체를 제공하므로, 해당 운영환경에서 바이너리 컴파일 후 활용이 가능하다. 소프트웨어 개발 언어의 경우 Tensorflow는 python이 기본 언어이며 python(v2.7 or v3.N) 가상 환경 내에서 개발이 수행이 된다. 주의 깊게 살펴볼 부분은 이러한 개발 환경의 제약으로 인하여 Tensorflow의 주요한 장점 중에 하나인 고속 연산 기능 수행이 일부 운영 환경에 국한이 되어 제공이 된다는 점이다. GPU(Graphics Processing Unit)의 제공하는 하드웨어 가속기능은 Linux 운영체제에서 활용이 가능하다. 가상 개발 환경에 운영되는 한계로 인하여 실시간 정보 처리에는 한계가 따르므로 이에 대한 고려가 필요하다. 한편 근래(2017.03)에 공개된 Tensorflow API r1.0의 경우 python, C++, Java언어와 함께 Go라는 언어를 새로 지원하여 개발자의 활용 범위를 매우 높였다. OpenNN의 경우 C++ 언어를 기본으로 제공하며 C++ 컴파일러를 지원하는 임의의 개발 환경에서 모두 활용이 가능하다. 특징은 클러스터링 플랫폼과 연동을 통해 하드웨어 가속 기능의 부재를 일부 극복했다는 점이다. 상기 두 가지 패키지를 이용하여 2016년 2월부터 5월 까지 충북 음성군 소재 딸기 온실 내부에서 취득한 온도, 습도, 조도, CO2에 대하여 Large-scale linear model을 실험적(시간단위, 일단위, 주단위 분할)으로 적용하고, 인접한 세그먼트의 환경변수 예측 모델링을 수행하였다. 동일한 조건의 학습을 수행함에 있어, Tensorflow가 개발 소요 시간과 학습 실행 속도 측면에서 매우 우세하였다. OpenNN을 이용하여 대등한 성능을 보이기 위해선 병렬 클러스터링 기술을 활용해야 할 것이다. 오프라인 일괄(Offline batch)처리 방식의 한계가 있는 인공신경망 모델링 기법과 현장 보급이 불가능한 고성능 하드웨어 연산 장치에 대한 대안 마련을 위한 연구가 필요하다.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.3
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• pp.499-508
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• 2016

This paper reports the results of an in-depth study on sensitivity analysis based on promoting activities, the relative importance and priority setting in their sub-elements by AHP(Analytic Hierarchy Process) method. For this purpose, lifelong education experts, education administrators, lifelong educators from Daejeon lifelong education organizations participated in this Priority Analysis on the Lifelong Education Enhancing Plan using the AHP. The analysis resulted in the relative importance of promoting activities; 1) realizing of lifelong education system oriented by universities, 2) setting up the integrated online and offline lifelong education, 3) strengthening the lifelong education of local universities, 4) offering customized lifelong education by generation and target group, 5) strengthening the lifelong education of local governments, and 6) advancing the quality of lifelong education by focusing on the professionalism and transparency. This suggests that realization of a lifelong education system oriented by universities and the reorganization of an university system for adult learners have greater importance among other tasks and elements in carrying out the 3rd lifelong education enhancing plan.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.9 no.6
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• pp.609-616
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• 2016

This paper is proposed a customized market analysis method using SVM and collaborative filtering. The proposed customized market analysis scheme is consists of DC(Data Classification) module, ICF(Improved Collaborative Filtering) module, and CMA(Customized Market Analysis) module. DC module classifies the characteristics of on-line and off-line shopping mall and traditional markets into price, quality, and quantity using SVM. ICF module calculates the similarity by adding age weight and job weight, and generates network using the similarity of purchased item each users, and makes a recommendation list of neighbor nodes. And CMA module provides the result of customized market analysis using the data classification result of DC module and the recommendation list of ICF module. As a result of comparing the proposed customized recommendation list with the existing user based recommendation list, the case of recommendation list using the existing collaborative filtering scheme, precision is 0.53, recall is 0.56, and F-measure is 0.57. But the case of proposed customized recommendation list, precision is 0.78, recall is 0.85, and F-measure is 0.81. That is, the proposed customized recommendation list shows more precision.

• The Journal of the Korea Contents Association
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• v.16 no.9
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• pp.236-246
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• 2016

Social enterprise is an organization which use business activities as a means to achieve of social purposes. It has grown sharply since 2007 in Korea. However, now it is time had to pursue qualitative growth through the development of specialized business model. This study aims to identify business components using the Analytic Hierarchy Process (AHP) with experts and to develop a tailored business model for social enterprises in the fields of culture, performance, and the arts associated with the tourism based on regional demand within Gwangju. The analysis shows that job creation should be set as the main objectives to create value, and programs that offer hands-on experience with that fields can be the core competency. Cooperation among private corporations, local governments and agencies related to that fields is essential, as are programs provided through on- and off-line platforms. To develop a value proposition, customers must be segmented among a variety of the market participants.

• Culinary science and hospitality research
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• v.23 no.2
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• pp.86-94
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• 2017

This study was conducted to derive a positioning map using multidimensional scaling method to understand how the brand image of national foods including Korean food, Chinese food, Japanese food, Thai food, and Vietnamese food is perceived by domestic and foreign tourists. In order to achieve the research purpose, this study collected 250 data through online and offline surveys for potential food tourists who are interested in visiting overseas. Except the unfaithful responses or missing values, 202 data were analyzed. As a result, first, 8 factors which are considered to be important by food tourists were extracted. Second, the result of similarity analysis using ALSCAL and PROXSCAL did not show that the foods of the five countries were very similar, but all countries seemed to be more likely to compete with each other. Third, attribute selection also indicates that mean value of food taste (3.88), national image (3.82), and sufficient food quantity (3.65) had high level of importance, respectively. These results may provide practical implications for development of branding strategy in food tourism.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.10 no.6
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• pp.177-186
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• 2015

This study is related to determination of the intention to watch a movie, which is affected by various emotional, environmental, and behavioral factors. In case of personal factors, personal taste formed on the basis of previously experienced movie related information affects selection of movies, while environmental factors are affected mostly by residental community experience, cognitive attitude, subjective norms, as well as the view of values. In this study, the determinants on decision to watch movie have been analyzed applying the theory of planned behavior. Taking into consideration that the determination, based on either personal factors or environmental factors, of consuming movie products stars from reasonable information collecting and that movie poster has been the primary source of information on movie products since the inception of the movie industry, this study analyzed tastes of movie watchers and many variables of movie poster format on determination of intention to watch movie. The results from this empirical study indicate that movie poster is effective means of low cost marketing inducing movie watching in terms of consuming minimum time and space with high speed of delivery while satisfying primary interest on the movie product. It is suggested movie posters should be prepared to make appeal to each generation of target consumers and be put on the market as a product of artistic work.

• Science of Emotion and Sensibility
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• v.20 no.1
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• pp.3-16
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• 2017

With the development and proliferation of three-dimensional(3D) printers, consumers in modern society can now print products of what they want three-dimensionally at home. However, consumers themselves would have to produce digital design maps that are compatible with 3D printers and to set up the optimum printing quality and temperature, as well as to pay for maintenance and repair of 3D printers and to respond to any possible lawsuits related to intellectual property right about designs in order to make possible consumer-tailored manufacturing through 3D printing. However, in reality, since it is very difficult for consumers to respond to these issues, it is necessary to develop services that perform 3D printing on behalf of consumers in the desired direction. Motivated by this objective, this study investigated user experiences on Shapeways(www.shapeways.com), which is a global online 3D printing product and sales companies, from many viewpoints in order to obtain insight into 3D printing services and modes which were preferred by consumers. The study result showed that quantitative evaluations on usability, search process, price adequacy, re-visit intention, diversity of design, and satisfaction of design was scored low overall. Furthermore, this study acquired insight about consumer-tailored 3D printing services through constructive suggestions on multi-language support, openness of manufacturing process, simultaneous operation of online and offline sites, design-oriented consumer-tailored manufacturing service, services that ensure delivery safety and product durability, and surface finishing services. This study is expected to provide a wide range of opinions not only on 3D printing service platform development but also on related industry and research.

• Korean journal of communication and information
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• v.44
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• pp.108-143
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• 2008

Candidate images refer to a holistic impression of a candidate which is composed of various dimensions of attributes. This study investigated how online and offline news media, campaign media such as political ads, televised debates, and candidate web-sites, and interpersonal political talk influenced voters' images of a candidate in such dimensions as personal traits, job-performance abilities, and policy capabilities, and further their political decision making in the 17th presidential election in Korea. The analysis focused on President Lee, Myung Bak who won the election by obtaining nearly 50% of the effective votes. According to the data analyses, first, uses of offline newspapers positively influenced voters' images of candidate Lee's personal traits such as his morality, integrity, trustworthiness, and compassion, yet online news uses had an opposite effect on voters' impression of his job-performance and economic policy capabilities. Secondly, among various campaign media, television ads and candidate web-sites positively contributed to the formation of candidate Lee's images, yet showed little direct effect on vote choice, indicating that campaign media mainly indirectly influenced voters' political decision making. Each of the first, second, and third televised candidate debates revealed unique effects on image formation and vote choice. Thirdly, the network size and frequency of political talk negatively influenced image formation regarding candidate Lee's personal traits and economic policy capabilities, yet the discussion network size positively contributed to the Lee votes. Forth, among various dimensions of candidate images, voters' perceptions of candidate Lee's personal traits appeared to be the most significant predictor of the support for him.

• Journal of the Korean Data and Information Science Society
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• v.27 no.4
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• pp.979-991
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• 2016

Measuring nation images was a challenging task when employing offline surveys was the only option. It was not only prohibitively expensive, but too much time-consuming and therefore unfitted to this rapidly changing world. Although demands for monitoring real-time nation images were ever-increasing, an affordable and reliable solution to measure nation images has not been available up to this date. The researcher in this study developed a semi-automatic ontology construction algorithm, named "double-crossing double keyword collection (or DCDKC)" to measure nation images from Wikipedia in real-time. The ontology, WikiOnto, can be used to reflect dynamic image changes. In this study, an instance of WikiOnto was constructed by applying the algorithm to the big-three exporting countries in East Asia, Korea, Japan, and China. Then, the numbers of page views for words in the instance of WikiOnto were counted. A collection of the counting for each country was compared to each other to inspect the possibility to use for dynamic nation images. As for the conclusion, the result shows how the images of the three countries have changed for the period the study was performed. It confirms that DCDKC can very well be used for a real-time nation-image monitoring system.

• Journal of The Korean Association For Science Education
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• v.35 no.1
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• pp.27-35
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• 2015

General education is changed by accepting the change in education environment to digital generation, emphasis about student-centered education, and change of teacher's role. E-learning has taken center stage as an effective learning environment but the problems are drawn for the absence of interaction that is important in learning. In this study, on the basis of questionnaire results about learning using website, we operated blended-learning where students come and go in cyberspace and physical space to set up the lesson environment for emphasizing interaction. We selected a control group (N=40) and an experimental group (N=40) from second grade students in a middle school for this research. General instructor-led lessons were implemented in the control group and blended-learning lessons to emphasize interaction between teacher and students were implemented in the experimental group. The experiments were applied to eight class-hours in 'characteristics of matter' unit. We implemented Test of Science Related Attitude (TOSRA) to the students before and after the lessons and administered questionnaire for checking attitude changes and perception in students. The results of the test show that the experimental group students were more encouraged and became more confident and curious about scientific learning than the control group students. The analysis of the interview and results of TOSRA show that blended-learning provided guidance and feedback by the teacher to the experimental group students more than the control group students. Blended-learning is suggested as a learning-method that is helpful in improving scientific attitude in students because it enables them to express their experiences without limit of time-space and promote interaction between teacher and students.