• The Journal of Bigdata
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• v.8 no.2
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• pp.125-131
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• 2023

Globally, drug side effects rank among the top causes of death. To effectively respond to these adverse drug reactions, a shift towards an active real-time monitoring system, along with the standardization and quality improvement of data, is necessary. Integrating individual institutional data and utilizing large-scale data to enhance the accuracy of drug side effect predictions is critical. However, data sharing between institutions poses privacy concerns and involves varying data standards. To address this issue, our research adopts a federated learning approach, where data is not shared directly in compliance with privacy regulations, but rather the results of the model's learning are shared. We employ the Common Data Model (CDM) to standardize different data formats, ensuring accuracy and consistency of data. Additionally, we propose a drug monitoring system that enhances security and scalability management through a cloud-based federated learning environment. This system allows for effective monitoring and prediction of drug side effects while protecting the privacy of data shared between hospitals. The goal is to reduce mortality due to drug side effects and cut medical costs, exploring various technical approaches and methodologies to achieve this.

• The Journal of Korean Association of Computer Education
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• v.22 no.3
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• pp.55-65
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• 2019

In programming language learning system of flip learning methods, the evaluation of cyber lectures generally proceeds from online to multiple choice questions. In this case, the questions are randomly extracted from the question bank and given to individual learners. In order for these evaluation results to be reflected in the grades, the equity of the examination question is more important than anything else. Especially in the programming language subject, the degree of difficulty that learners think can be different depending on the type of problem. In this paper, we classify the types of multiple-choice problems into two categories, and manage the difficulty level by each type. And we propose a question selection algorithm that considers both difficulty level and type of question. Considering the characteristics of the programming language, experimental results show that the proposed algorithm is more efficient and fair than the conventional method.

• Journal of Korea Multimedia Society
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• v.2 no.3
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• pp.277-288
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• 1999

A distributed multimedia school system is developed for the multimedia classroom at high school and university. The system is designed and implemented for students to improve the learning efficiency through the personalized multimedia contents and pace of learning. The previously developed multimedia information retrieval systems have some limitations on being applied to the multimedia classroom: expensive cost per stream or poor retrieval quality inappropriate for education, unscalability of system and service, unfamiliar proprietary client environment, and difficulty for teachers to use the authoring tools and manage the authored teaching materials. The system we developed overcomes the above problems. It is so scalable as to be applicable not only to a segmented classroom but also to the world wide Internet. The stream server is one of the components of the system: stream servers clients, a service gateway system, and a authoring management system. This paper describes the design and implementation of the stream server. A single stream server can simultaneously playback the multimedia streams as many as clients at one classroom. This is achieved only by the software engine without any changes of the hardware architecture. The systematic coupling with other components gives the scalability of the system and the flexibility of services.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.11 no.11
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• pp.2150-2157
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• 2007

In this paper, we have proposed a self disease diagnosis system for ordinary persons to help the decision of access methods to a specialized medical management, and for medical specialities to discover new diseases and their symptoms easily, using verification of an individual#s health status by a series of processes performed by oneself. In the proposed self disease diagnosis system, illness is decided by 60 kinds of diseases selected using the report called #Diseases that Koreans take seriously# published by Ministry of Health & Welfare and medical contents called #Engel Pharm#, and also using 161 representative symptoms for the 60 kinds of diseases. An individual#s health information is extracted by diagnosis of one#s health status by a clustering of the 60 kinds of diseases using enhanced ART2 algorithm and input vectors from the results of questions for symptoms of each disease.

• Journal of Korean Home Economics Education Association
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• v.28 no.1
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• pp.87-104
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• 2016

The purpose of this study is to suggest a pedagogic direction of home economics education that can form body image which organize self-concept of adolescents positively. To achieve this purpose, the study suggested a body image formation model of adolescents that can be applied to home economics education, and based on this formation model, analyzed contents on body image of current 12 textbooks of home economics education. The main results of this study are summarized as follows: First, to analyze textbook through body image formation model of adolescents, educational contents about body image were categorized into 4 constructs with 8 sub-categories. Second, we found the current textbooks about the child and family life field, food and dietary life field, and clothing life, are handling topics regarding body image formation model of adolescents, such as concepts and components of body image and antecedents and outcomes of body image. We conclude that although the current textbooks handles contents on body image of adolescents, those contents are sporadically presented across the three fields without an integrated perspective. Home Economics, as an entity of educating adolescents' self-esteem through daily life activities, needs to have a topic-oriented approach in developing a curriculum.

• The Journal of Korean Association of Computer Education
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• v.4 no.2
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• pp.115-123
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• 2001

In the early stage of Web-based Instruction, it didn't gain preference in spite of it's benefit of convenience. The main reason is, I think, the lack of generality at the education system which eventually results in unsatisfactory facilities compared with the requirement of teachers and students. And the early systems don't make good use of the plenty data in distributed environment, and don't show so good reliablity due to lack of systematic design and development. In this paper, we suggest WBI developing technology using the concept of WBSE. WBI developing is consist of component of pre-developed education software, integration of component using its reusability, and production of more requirement-satisfactory education software.

• Journal of Digital Convergence
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• v.19 no.12
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• pp.51-62
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• 2021

This study developed the factors capable of systematic/comprehensive evaluation of the task performance in order to strengthen the performance management of the professional career personnel invitation program (PCPIP). To this end, a performance evaluation framework was developed by analyzing existing project evaluation studies based on boundary theory and Kirkpatrick's four-level evaluation model. Afterwords, through two Delphi surveys, evaluation factors that can measure performance in terms of individual and invitation institutions of PCP were derived and validated. With this procedure, five evaluation factors were finally selected: adaptability, connectivity, clarity, compatibility, and expandability. This study has implications suggesting a performance evaluation factors capable of hybrid quantitative/qualitative evaluation for the performance management of PCPIP operated by National Research Foundation of Korea Research since 1994.

• 대한예방의학회:학술대회논문집
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• 2002.05a
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• pp.73-83
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• 2002

우리 사회에서 일정 정도 이상의 사회와 가정에서의 기능상의 부적응을 초래하는 정신적 문제는 경제활동인구에 있어 가장 흔한 보건의료상의 문제일 것으로 추측되고 있으나, 현재까지는 정신보건제도 마련에 있어 가장 극심한 부적응을 보이는 정신적 장애를 지닌 환자를 위주로 수용시설과 지역사회에서의 재활과 관리에 그 초점을 두어 왔다. 즉 직업스트레스와 같은 일시적인 사회심리적 갈등으로 인한 신체증상의 호소나 알을 및 약물중독으로 인한 사고의 발생으로부터 일생동안 관리되어야 하는 지능저하나 학습장애와 같은 만성적인 문제에 이르기까지 다양한 스펙트럼을 보이는 사업장과 지역사회에서의 정신적 문제들 중 그 일부만이 제도적으로 관리되어 왔다. 실제 그 동안 직장 내 정신보건문제에 대한 행정적 관심은 일부 장애인의 취업 문제를 제외하고는 없었다고 하여야 할 것이다. 그러나 한편으로 우리 사회의 산업구조와 경제사회적 조건의 변화에 따른 노동내용과 조건상 유연화의 증대가 많은 직장에서 노동강화로 이어진다는 점, 그리고 가족 및 교류집단을 비롯한 전통적인 사회적 지지구조가 와해되고 있다는 점과 정신적 문제로 인한 기능상 부적응의 척도가 한편으로 사회적 가치관의 변화에 따라 계속 그 영역이 넓어지는 방향으로 변화하고 있다는 점등에서 직장 내 정신보건 문제는 앞으로 더욱 그 비중이 커질 것으로 판단되고 있다. 문제의 심각성에 대한 관심이 요구되는 현재의 시점에서 제도적 접근에 대한 검토 또한 시작되어야 할 것으로 판단되고 있다. 현재까지 기업 내에서 이루어지고 있는 정신보건관리의 현황을 단편적으로 파악해 보았을 때, 단지 일부 기업에서 취업시 내지는 부서 배치시 성격검사를 비롯하여 적성검사를 실시하고 있으며, 기업윤리확보 차원에서 비정규적으로 사기앙양을 주목적으로 하는 집단적인 교육이나 단체훈련이 이루어지고 있으나, 정신심리적 문제를 개인적 차원에서 그리고 또한 조직적 차원에서 체계화된 프로그램으로 관리하고 있는 사례는 아직 없다. 앞으로 직장 내 정신보건문제에 대하여 제도적인 접근을 하기 위하여서는 다음과 같은 세가지 조건들이 구비되어야 할 것으로 판단된다. 첫 번째로 문제점 그 자체의 내용과 그 규모에 대한 정확한 파악과 예측이 가능하여야 한다. 즉 제도 전체의 운영을 객관적으로 평가하고 개선할 수 있는 기제가 함께 있어야 제도가 실제적인 기능을 할 수 있다는 최소한의 목적이 달성될 수 있다. 두 번째로 문제점의 관리를 위한 효과적인 개입내용 및 개입지점의 확보가 가능하여야 한다. 특히 직장 내에서 수행할 수 있는 프로그램이 개발되어야 하며, 이는 시범사업과 시장을 통한 소비자, 즉 사업주들의 자발적인 선택을 통하여 검토되고 걸려져야만 한다. 마지막으로 제도 운영의 대상, 특히 정신보건문제를 안고 있는 노동자들의 자발적인 동의가 확보될 수 있어야 한다. 이는 정신적 문제가 안고 있는 편견과 그로 인한 차별이 가져다주는 문제를 함께 고려하면서 제도가 운영되어야 하며, 이에 있어 제도 운영상 노동자들의 주체적인 참여가 필요하기 때문이다. 이상 고려되는 직장 내 정신보건문제에 대한 제도적 접근을 담기 위하여서는 프로그램 개발이나 전문가 집단의 양성과 같은 단순한 기술적 접근과 이들의 인허가 및 사업화에 따른 적용기준 및 의무의 설정과 같은 제도적 접근에 그쳐서는 그 실효성을 담보하지 못할 것으로 판단된다. 보다 중요한 것은 이러한 정신보건문제에 대한 노사의 공감대를 이루어 내는 것이며, 사회 전반적인 인식의 확산과 더불어 바람직한 관리모습에 대한 사회적 가치관을 도출해 내는 것이 제도적인 접근의 성공을 보장할 수 있는 기반 조건이 될 것이다. 이러한 점에 있어 정신보건문제를 바라보는 기존의 가치관이 부정적이고 고착화된 모습만을 강조하였으나, 이제는 점차 긍정적이 사회활동에 수반되는 역동적인 모습으로서 비추어지는 것이 많아진다는 측면에서 그 전망을 밝게 하여 주고 있다.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.25 no.4
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• pp.537-542
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• 2021

Smart TVs provide a variety of services and information compared to existing TVs based on the Internet. In order to provide more personalized services or information, it is necessary to analyze users' viewing patterns and provide customized services or information based on them. The proposed system receives the user's TV viewing pattern, analyzes it, and recommends a TV program or movie as customized information to the user. For this, the system was constructed with a preprocessor and a deep learning model. The preprocessor refines the name of the TV program watched by the user, the date the TV program was watched, and the watched time. Then, the multi-attribute LSTM model trains the refined data and performs prediction.The proposed system is a system that provides customized information to users, and is believed to be a leading technology in digital convergence that combines existing IoT technology and deep learning technology.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.21 no.12
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• pp.2325-2332
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• 2017

Consulting projects such as diagnosis of vulnerabilities of major information and telecommunication infrastructure are increasing, mandatory public information infrastructure assessment (PIA) for public institutions and ISMS (Information Security Management System) The demand for information protection consulting is continuously increasing as the field obeys the law, but the lack of information security consultant is not improving. One reason is that information security consultants are not being developed to meet the increasing demand for information protection consulting. In this paper, we present the case of information protection consulting as a scenario for studying and educating the duty of information security consultant by studying overseas case and domestic case based on standardization and standardization. We propose a problem-based learning (PBL) training method. In addition, we analyze the effectiveness of the PBL - based learning method.