• Journal of Digital Convergence
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• v.16 no.10
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• pp.205-212
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• 2018

With the development of high performance CPU / GPU, artificial intelligence algorithms such as deep neural networks, and a large amount of data, machine learning has been extended to various applications. In particular, a large amount of data collected from the Internet of Things, social network services, web pages, and public data is accelerating the use of machine learning. Learning data sets for machine learning exist in various formats according to application fields and data types, and thus it is difficult to effectively process data and apply them to machine learning. Therefore, this paper studied a method for building a learning data set for machine learning in accordance with standardized procedures. This paper first analyzes the requirement of learning data set according to problem types and data types. Based on the analysis, this paper presents the reference model to build learning data set for machine learning applications. This paper presents the target standardization organization and a standard development strategy for building learning data set.

• Journal of Digital Convergence
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• v.9 no.4
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• pp.267-279
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• 2011

A variety of Web Services are being existences based on the development of the Internet. Especially, e-Learning services in the Universities make the temporal and spatial constraints overcome, and e-Learning services have gained great popularity to the students who use because those provide various convenience and usefulness. e-Learning studies have been actively performed based on the spread of e-Learning in the various industries. A number of studies suggest the diffusion plan of e-Learning applying the Technology Acceptance Model studies. Those studies focused on the ease of use and usefulness of e-Learning. The explanation about educational contents perspectives, which is the key factor in e-Learning, is very weak. Therefore, this study suggested the strategy for spreading the e-Learning adoption through in terms of e-Learning educational contents and trust perspectives. This research results would provide the strategic implications to boost the e-Learning adoption in the various universities in terms of e-Learning educational contents and trust perspectives.

• Journal of Digital Convergence
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• v.11 no.1
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• pp.249-254
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• 2013

The number of channels are increased into several hundreds of channels when coming out the digital broadcasting era. In this environment, viewers searching for programs will be very difficult to do. In addition, recent popularization of smart devices are receiving the services that they previously had not been given to. A TV program recommended a system that has been studied as a way to solve these problems. However, most studies have been studied in most web-based research results when applied to broadcast TV for TV program recommendations. In particular, the combination of the current members who watch TV are not considered. In this paper, the environment and TV viewers are considering a combination of the members of the TV program's recommended system proposal. In order to make a group deal successful, we employ the face recognition.

• Journal of Digital Convergence
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• v.17 no.12
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• pp.235-241
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• 2019

The structure of the IoT can be divided into devices, gateways, and servers. First, the gateway collects data from the device, and the gateway sends data to the server through HTTP protocol, Websocket protocol, and MQTT protocol. The processing server then processes, analyzes, and transforms the data, and the database makes it easy to store and use this data. These IoT services are basically centralized structures with servers, so attacks on the entire platform are concentrated only on the central server, which makes hacking more successful than distributed structures. One way to solve this problem is to develop IoT that combines blockchain. Therefore, the proposed research suggests that the blockchain is a distributed structure, in which blocks containing small data are connected in a chain form, so that each node agrees and verifies the data with each other, thereby increasing reliability and lowering the probability of data forgery.

• Information and Communications Magazine
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• v.25 no.1
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• pp.5-11
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• 2008

우리 경제의 성장잠재력 저하에 대한 우려가 심화되는 상황에서 국민소득 2만불 시대 견인을 위해 2004년 수립한 IT 산업 발전전략이 IT839이다. 신성장동력 핵심기술 개발 등 IT839전략에 힘입어 세계 최초로 WiBro, DMB 기술개발과 국제표준화에 성공하는 등 IT분야 기술개발을 주도하여, 선진국과의 기술격차가 1년 이상 단축되었으며, 특히, 이동통신 DIV 분야는 미국, 일본 등 선진국 수준으로 경쟁력이 향상되는 성과를 보았다. 한편, 최근 IT를 둘러싸고 있는 환경은 IT를 기반으로한 융복합화 진전, 글로벌화 심화, 인터넷 확산과 웹의 진전이다. 2008년에는 이런 환경변화 속에서 IT산업의 지속적인 성장을 위한 전략을 수립.추진할 계획이다. 무선 융합환경에서 신시장 창출 및 선점, 고부가가치 IT산업의 집중 육성, IT중소기업, 핵심인력 양성 등 경쟁력 향상을 위한 기반 구축도 강화한다. IT R&D 정책은 기초 원천기술분야 R&D 투자비중을 확대하고, IT와 비IT융합 등 융합분야 기술개발 투자도 확대할 것이다. 혁신형 IT 중소기업 육성을 위해 민간 정책협력 네트워크인 IT전문협의회 운영을 개선하고, 중소기업의 원가절감을 위한 공통서비스 확대, 대 중소 기업의 상생협력을 제도화는 등 IT정책 인프라도 고도화한다. 또한, 반도체, 디스플레이 이후의 글로벌 주력품목군으로 IT SoC, u-센서, IT-BT-NT 융합분야 등 3대 핵심분야를 선정하여 집중 육성하고, 부품기업간 협업 활성화를 적극 유도할 것이다. 시장이 원하는 글로벌 수준의 인재양성을 목표로 공학교육인증 확산, IT 융합분야를 중심으로 대학의 R&D 지원도 강화하며, 전공역략을 갖춘 IT 전문인력, 석박사급 핵심 연구개발 인력, IT재직자 교육 등 시장이 원하는 맞춤형 인력양성도 병행 추진한다. 마지막으로 SW산업의 글로벌 경쟁력을 제고하고 신시장 창출을 위해 노력도 강화한다. 조선, 자동차 등 비 IT분야의 SW활용을 확산하기 위한 선도프로젝트를 추진하고, 틈새분야 중 세계적 시장점유율을 갖춘 중소기업 제품에 임베디드SW를 탑재하여 첨단기능을 구현하는 시범사업도 적극 추진할 계획이다.

• Journal of Digital Convergence
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• v.17 no.1
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• pp.123-130
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• 2019

One of the most commonly used methods of web recommendation techniques is collaborative filtering. Many studies on collaborative filtering have suggested ways to improve accuracy. This study proposes a method of movie recommendation using Word2Vec and an ensemble convolutional neural networks. First, in the user, movie, and rating information, construct the user sentences and movie sentences. It inputs user sentences and movie sentences into Word2Vec to obtain user vectors and movie vectors. User vectors are entered into user convolution model and movie vectors are input to movie convolution model. The user and the movie convolution models are linked to a fully connected neural network model. Finally, the output layer of the fully connected neural network outputs forecasts of user movie ratings. Experimentation results showed that the accuracy of the technique proposed in this study accuracy of conventional collaborative filtering techniques was improved compared to those of conventional collaborative filtering technique and the technique using Word2Vec and deep neural networks proposed in a similar study.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• v.9 no.1
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• pp.171-174
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• 2005

According as marine leisure industry has developed and the demand of leisure culture has increased rapidly, a desire about service which supply marine safety and connect marine information is enlarging. The performance of personal mobile device has improved and been evolved by composition terminal. So, it became possible that storage and expression of multimedia information as well as simple communication facility. Domestic wireless internet has given development strain to developer and contents Provider(CP) because of different platform. And this has become hindrance factor of wireless internet activation. But, recently, the use of WIPI(Wireless Internet Platform for Interoperability), the wireless internet standard platform, could use different wireless application programs and also guarantee the independency for hardware. We wish to develop contents of download form that supply geographic information of Electronic Navigational Chart(ENC) in the marine that is digitalized to carrying along terminal of WIPI base and various informations for marine leisure. For this, DB that offer ENC and additional information should be constructed. Also, we need server (CPS; Contents provider Server) that offer required contents. In this paper, we design web retrieval agent which store request information to database. When consumer required necessary information through personal mobile device, CPS can inform that by real time. So, we wish to develop agent component that parse informations in various World Wide Webs, and store to database.

• Journal of agricultural medicine and community health
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• v.49 no.3
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• pp.257-270
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• 2024

Objective: This study aimed to empirically evaluate the effectiveness of chronic disease management services utilizing ICT for patients with chronic illnesses. Methods: From May to December, 2023, 452 people who were diagnosed with hypertension and diabetes at 9 participating public health centers were provided with customized health care services for 24 weeks, and 15 performance indicators were analyzed to evaluate their effectiveness. Results: Health behavior indicators and health risk factors decreased before and after participation in the project, blood pressure control rate, hypertension and diabetes management rate, medication compliance, weight, BMI, BP, WC, FBG, and HDL-cholesterol improved(p<0.001). Service factors that influence the improvement of health behaviors included the number of activity monitor transmissions(p=0.049), confirmed concentrated consultations on physical activity(p=0.003) and nutrition(p=0.005), and the adherence to medication missions for hypertension(p=0.020). As for service factors influencing chronic disease management, the improvement in blood pressure regulation rate was due to the number of times the blood pressure monitor was linked(p=0.004), and the number of confirmed intensive consultations on physical activity(p=0.026), and nutrition(p=0.049); the improvement in hypertension control rate was due to the number of times the activity monitor and blood pressure monitor were linked(p<0.001), and the number of hypertension medication missions carried out (p=0.004); and the improvement in diabetes control rate was due to the number of times the blood pressure monitor(p=0.022) and blood sugar system were linked(p=0.017). Conclusion: Although this study has limitations as a comparative study before and after the service, it has proved that chronic disease management using ICT has a positive effect on improvement of health behavior indicator, reduction of health risk factors, hypertension, diabetes management index, weight, BMI, TG, BP, FBG improvement.

• Journal of Digital Convergence
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• v.15 no.10
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• pp.221-232
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• 2017

In recent years, the development and market participation of major makers of next-generation eco-friendly vehicles has been accelerating. Consumer interest has also increased. Consumer characteristics, consumption type, characteristics of next-generation eco-friendly vehicles, and government policies on next-the results of this study are as follows. As a result of this study, it was found that the characteristics of consumers (by sex, age, monthly average income), types of consumers (price value pursuit type, individual value pursuit type), There was no significant difference between the consumers, and the purchasing intention was not significantly different by gender, age, and monthly income, but there was a significant difference in purchase intention according to the type of consumer. The positive effects of consumer purchase behavior on brand image, color, design, etc, have positive (+) effect on eco - friendly vehicles. And social environment value seeking type among consumer types are significant in relation to purchase intention. To have three support the government's carbon dioxide (per ton of 5,000 won, per ton of 10,000 won), national or local government vehicle price support directly gasolin tax, disel tax, carbon taxes, such as fuel-related tax relief, etc. was found to have positive effect.

• Proceedings of the Korea Inteligent Information System Society Conference
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• 2002.05a
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• pp.315-322
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• 2002

최근에 경험적 지식을 체계화하는 방법으로 사례기반추론(CBR: Case Based Reasoning) 및 규칙기반추론(RBR: Rule Based Reasoning)이 여러 분야에서 이용되고 있다. CBR과 RBR이 각각 활용되기도 하지만 문제 해결의 정확성을 높이기 위해 복합된 형태로 사용되기도 하고, 흑은 효과적으로 문제를 해결하기 위해 문제 해결 단계별로 각각 사용되기도 한다 또한 데이터에서 지식을 추출하기 위한 세부 알고리즘으로는 인공지능과 통계적 분석기법 등이 활발하게 연구 및 적용되고 있다. 본 연구는 모니터의 핵심 부품인 섀도우마스크(Shadow Mask)를 개발하는데 있어 도면 협의부터 설계가지의 과정에 CBR과 RBR을 활용하고 발생되는 데이터를 이용하여 진화(Evolution)하는 지식기반시스템(Knowledge Based System)으로 구축하는 것을 목적으로 하고 있다. 특히 도면 협의시 인터넷상에 웹서버 시스템을 통하여 규격 (User Spec.)을 생성하고 이를 이용하여 자동으로 도면이 설계되도록 하고 저장된 사례들을 공유할 수 있도록 하여 도면 검토 시간이 단축되고 검토의 정확성을 기할 수 있어 실패비용을 감소시켰다. 그리고 실제 설계시 CBR과 RBR을 활용하여 자동설계를 할 수 있게 하였고 현장에서 발생되는 데이터를 지식화하여 유사사례 설계가 가능하도록 하였다. 지식기반시스템은 신속한 도면 검토가 가능하므로 인원 활용이 극대화되고, 섀도우 마스크 설계자와 마스터 패턴 설계자 사이의 원활한 의사소통을 통해 고객과의 신뢰성 확보와 신인도 향상을 기대할 수 있는 효과가 있다. 그리고 고급설계자에게만 의지되어온 것을 어느 정도 해결할 수 있고, 신입설계자에게는 훌륭한 교육시스템이 될 수 있다.한 도구임을 입증하였다는 점에서 큰 의의를 갖는다고 하겠다.운 선용품 판매 및 관련 정보 제공 등 해운 거래를 위한 종합적인 서비스가 제공되어야 한다. 이를 위해, 본문에서는 e-Marketplace의 효율적인 연계 방안에 대해 해운 관련 업종별로 제시하고 있다. 리스트 제공형, 중개형, 협력형, 보완형, 정보 연계형 등이 있는데, 이는 해운 분야에서 사이버 해운 거래가 가지는 문제점들을 보완하고 업종간 협업체제를 이루어 원활한 거래를 유도할 것이다. 그리하여 우리나라가 동북아 지역뿐만 아니라 세계적인 해운 국가 및 물류 ·정보 중심지로 성장할 수 있는 여건을 구축하는데 기여할 것이다. 나타내었다.약 1주일간의 포르말린 고정이 끝난 소장 및 대장을 부위별, 별 종양개수 및 분포를 자동영상분석기(Kontron Co. Ltd., Germany)로 분석하였다. 체의 변화, 장기무게, 사료소비량 및 마리당 종양의 개수에 대한 통계학적 유의성 검증을 위하여 Duncan's t-test로 통계처리 하였고, 종양 발생빈도에 대하여는 Likelihood ration Chi-square test로 유의성을 검증하였다. C57BL/6J-Apc$^{min/+}$계 수컷 이형접합체 형질전환 마우스에 AIN-76A 정제사료만을 투여한 대조군의 대장선종의 발생률은 84%(Group 3; 21/25례)로써 I3C 100ppm 및 300ppm을 투여한 경우에 있어서는 각군 모두 60%(Group 1; 12/20 례, Group 2; 15/25 례)로 감소하는 경향을 나타내었다. 대장선종의 마리당 발생개수에 있어서는 C57BL/6J-Apc$^{min/+}$계 수컷 이형접합체 형질전환 마우스에 AIN-76A 정제사료만을 투여한