• KSII Transactions on Internet and Information Systems (TIIS)
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• v.6 no.2
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• pp.498-514
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• 2012

Machine to machine (M2M) communications is the hottest issue in the standardization and industry area, it is also defined as machine-type communication (MTC) in release 10 of the 3rd Generation Partnership Project (3GPP). Recently, most research have focused on congestion control, sensing, computing, and controlling technologies and resource management etc., but there are few studies on security aspects. In this paper, we first introduce the threats that exist in M2M system and corresponding solutions according to 3GPP. In addition, we present several new security issues including group access authentication, multiparty authentication and data authentication, and propose corresponding solutions through modifying existing authentication protocols and cryptographic algorithms, such as group authentication and key agreement protocol used to solve group access authentication of M2M, proxy signature for M2M system to tackle authentication issue among multiple entities and aggregate signature used to resolve security of small data transmission in M2M communications.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.17 no.12
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• pp.3416-3435
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• 2023

Task offloading in vehicular networks is hot topic in the development of autonomous driving. In these scenarios, due to the role of vehicles and pedestrians, task characteristics are changing constantly. The classical deep learning algorithm always uses a pre-trained neural network to optimize task offloading, which leads to system performance degradation. Therefore, this paper proposes a neural network fine-tuning task offloading algorithm, combining with location prediction for pedestrians and vehicles by the Payne model of fluid dynamics and the car-following model, respectively. After the locations are predicted, characteristics of tasks can be obtained and the neural network will be fine-tuned. Finally, the proposed algorithm continuously predicts task characteristics and fine-tunes a neural network to maintain high system performance and meet low delay requirements. From the simulation results, compared with other algorithms, the proposed algorithm still guarantees a lower task offloading delay, especially when congestion occurs.

• International Journal of Computer Science & Network Security
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• v.22 no.6
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• pp.339-345
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• 2022

Outcome-based education (OBE) is a tried-and-true teaching technique based on a set of predetermined goals. Program Educational Objectives (PEOs), Program Outcomes (POs), and Course Outcomes (COs) are the components of OBE. At the end of each year, the Program Outcomes are evaluated, and faculty members can submit many recommended measures which dependent on the relationship between the program outcomes and its courses outcomes to improve the quality of program and hence the overall educational program. When a vast number of courses are considered, bad actions may be proposed, resulting in unwanted and incorrect decisions. In this paper, a recommender system, using collaborative filtering and association rules algorithms, is proposed for predicting the best relationship between the program outcomes and its courses in order to improve the attributes of the graduates. First, a parallel algorithm is used for Collaborative Filtering on Data Model, which is designed to increase the efficiency of processing big data. Then, a parallel similar learning outcomes discovery method based on matrix correlation is proposed by mining association rules. As a case study, the proposed recommender system is applied to the Computer Information Systems program, College of Computer Sciences and Information Technology, Al-Baha University, Saudi Arabia for helping Program Quality Administration improving the quality of program outcomes. The obtained results revealed that the suggested recommender system provides more actions for boosting Graduate Attributes quality.

• Journal of Engineering Education Research
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• v.14 no.6
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• pp.60-66
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• 2011

The curriculum system and documentation for advanced general education, MSC (Mathematics, Basic Science, Computer Science), and engineering-design courses have been developed to improve the education of advanced undergraduate students in engineering and technology at Chosun University. In this paper, to obtain improved quality of engineering courses, we systemized the education of engineering and technology, which could be designed as the education satisfying students and provide awards for high-quality performance, through efficient management of education courses and establishment of basic and professional courses. In addition, by applying evaluation to the engineering courses and using the model of continuous quality improvement, we could achieve a high-quality education system for the engineering and technology courses.

• Journal of Engineering Education Research
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• v.15 no.5
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• pp.140-150
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• 2012

The purpose of this study was to compare and analysis researches related the promising career and job outlook and to provide the direction for job choice to engineering students. Literature review and expert council were used to achieve the objectives of study. The result of this study was analyzed that these jobs were promising, that is, environmental scientist and specialist, earth scientist and hydrologist(education and research related career), architecture and architectural engineer, civil engineer, landscape technician, land surveyor map production expert photo surveyor surveying technician(construction related career), material engineer (mechanics and material related career), mine and geology engineer(chemistry, fiber and environment related career), computer system design and analyst, system software engineer, application software engineer, web specialist, and computer support specialist (electrical and telecommunication related career) and food engineer(food related career). In addition, health silver specialist, bio biomedical engineer, renewable energy specialist etc. were promising by considering social and economic trend for demographic change like aging and green growth.

• International Journal of Computer Science & Network Security
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• v.21 no.11
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• pp.248-256
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• 2021

The article discusses the evolution of the development of distance learning in world practice; investigated the essence and modern content of the concepts of "distance learning" and "distance education"; studied the principles of distance learning in the educational process; analyze the use of distance learning in higher educational institutions of Ukraine; substantiated the effectiveness of introducing distance learning into the higher education system; formed new management approaches in the distance learning system; proposals for the organization and improvement of distance learning at the university were developed on the basis of the analysis.

• Journal of The Korean Association of Information Education
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• v.21 no.3
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• pp.297-307
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• 2017

The purpose of this study is to propose algorithm classification system for algorithm education for Elementary and Secondary Students. We defines the components of the algorithm and expresses the algorithm classification system by the analysis synthesis method. The contents of the study are as follows. First, we conducted a theoretical search on the classification purpose and classification. Second, the contents and limitations of the classification system for the proposed algorithm contents were examined. In addition, we examined the contents and selection criteria of algorithms used in algorithm education research. Third, the algorithm components were redefined using the core idea and crosscutting concept proposed by the NRC. And the crosscutting concept of algorithm is subdivided into algorithm data structure and algorithm design strategy, and its contents are presented using analytic synthesis classification scheme. Finally, the validity of the proposed contents was verified by the review of the expert group. It is expected that the study on the algorithm classification system will provide many implications for the contents selection and training method in the algorithm education.

• Proceedings of the Korea Information Processing Society Conference
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• 2013.11a
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• pp.1347-1349
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• 2013

현시대 온라인 사용자들에게 각광받고 있는 형태의 웹기반 서비스의 한 형태인 소셜 네트워크 서비스는 동창모임, 지역모임 등의 다양한 현실 인간관계를 기반으로 한 사용자간의 매칭 기능을 제공하고 있다. 이러한 매칭 기능을 바탕으로 소셜 네트워크 서비스는 개인의 일상을 공유하는 용도로 사용되고 있다. 이와는 별도로 학습관리시스템은 대학이상의 고등교육 현장에서 사용되어 학습자의 학습 내용 및 그에 대한 교수자의 피드백을 주기 위한 용도로 이용되고 있다. 본 논문에서는 이러한 소셜 네트워크 서비스의 특성과 학습관리 시스템을 융합하여 학교현장 및 평생교육 관점에서 활용 가능한 소셜 네트워크 서비스기반의 사용자 협업형 학습관리시스템의 구조를 제시한다.

• Proceedings of the Korea Information Processing Society Conference
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• 2011.11a
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• pp.277-278
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• 2011

본 논문에서는 공압출 다층 필름 제조공정에서 수지의 품질에 영향을 주는 외관상의 결함을 검사하는 비젼 시스템을 제안한다. 필름 생산 과정에서는 흑점이나 주름 등을 포함한 다양한 결함이 발생할 수 있는데, 명암이 명확히 구별되는 결함도 있지만 그렇지 않은 결함들은 필름의 특성에 의해 검출 및 분류가 어려운 경우가 많다. 제안된 논문에서는 전체 검사시스템의 소개와 함께 결함의 종류 분류와 검출 및 분류 방법을 제안하는데, 특히 애매한 결함의 구분을 위해 지역적 이진패턴(LBP)에 기반한 텍스쳐 분석 방법을 이용한다. 실험을 통해 제안된 시스템 및 방법이 필름 생산과정의 다양한 결함들을 잘 검출하고 분류하는 것을 알 수 있었다.

• Journal of Fisheries and Marine Sciences Education
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• v.15 no.2
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• pp.184-192
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• 2003

When the present Learning System for Computer-Related Subjects Using WBI is implemented on the Web with the above characteristics to help students to study computer subjects without any limitations of time or space, they can easily attain the goals of learning, have computer-utilizing abilities or information capacity, and enhance their capabilities for self-initiative learning. This system enables the learners to carry out 'plan-do-see' for the contents of learning initiatively. The learners can study the practice part of the curriculum using multi-media, such as motion pictures, voices, images, and sound effects, vividly with a sense of actual presence. It helps the students to have an active attitude toward leaning afterward. without meeting the teacher or without any storage media, the leaners can submit their assignments or materials for performance evaluation via the Internet.