Journal of the Economic Geographical Society of Korea
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v.17
no.2
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pp.385-401
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2014
This research analyses spatial and temporal characteristics of the academic performances of high school students by using all 2,065,166 SAT scores for 3 years. The spatial inequalities in Seoul are analysed by DBMS and GIS. Based on three-year raw data of Korean SAT scores, the spatial and temporal characteristics of academic performances are scrutinized: 868,029 SAT scores cases of 2000 academic year on Novemver 17, 1999, 609,258 cases in 2005 academic year on November 17, 2004 and 587,890 cases in 2009 on November 13. The result shows that there are significant spatial disparities of the level of academic performance in Seoul by Gu level, also indicating that the disparities are getting wider over the course of time. The widening disparities by Gu level means that educational spatial inequality is intensified in spite of the increasing overall trend of academic performance of Seoul. It is also notable that disparities between regions are distinctive, while those in regions are not significant and sustained constant as time flows.
Since quality assurance and enhancement (QAE) raises the fundamental issue of the survival of higher education institutions and national competitiveness, guides on quality assurance (QA) are popular both domestically and worldwide. Despite the focus in many countries on trying to establish and implement QA systems, no clear investigation has been conducted on what actually happens in the institutions. Therefore, the present study examines the quality control system of the UK at an institutional level by focusing on the case of Scotland QAE. As Scottish QAE especially emphasizes student engagement and quality culture, this study investigates the present QAE situation in the institution and current ideas for better future practices by analyzing the perceptions of internal stakeholders' from the University of Edinburgh, School of Education, based on the stakeholder theory and implications for other contexts. The stakeholder analysis results demonstrate the successful application of QAE with a high level of understanding and stakeholder interest. However, the current strategy is missing certain opportunities for staff and students. Therefore, further information disclosure, formative evaluation, better communication and administrational supports are required for improved practice.
The Jucheon-Pyeongchang area in the northwestern Taebaeksan Zone of the Okcheon fold-thrust belt preserved several thrust faults placing the Precambrian basement granite gneisses of the Gyeonggi Massif on top of the Early Paleozoic Joseon Supergroup and the age-unknown Bangrim Group. Especially, the thrust faults in the study area show the closed-loop patterns on the map view, showing older allochthonous strata surrounded by younger autochthonous or para-autochthonous strata. These basement-involved thrusts including Klippes will provide important information on the hinterland portion of the fold-thrust belt. For defining Klippe geometry in the thrust fault terrains of the Jucheon-Pyeongchang area by older on younger relationship, the stratigraphic position of the age-unknown Bangrim Group should be determined. The Middle Cambrian maximum depositional age by the detrital zircon SHRIMP U-Pb method from this study, together with field relations and previous research results suggest that the Bangrim Group overlies the Precambrian basement rocks by nonconformity and underlies the Cambrian Yangdeok Group (Jangsan and Myobong formations). The structural geometric interpretation of the Pyeongchang area based on newly defined stratigraphy indicates that the Wungyori and Barngrim thrusts are the same folded thrust, and can be interpreted as a Klippe, having Precambrian hanging wall granite gneisses surrounded by younger Cambrian strata of the Joseon Supergroup and the Bangrim Group. Further detailed structural studies on the Jucheon-Pyeongchang area can give crucial insights into the basement-involved deformation during the structural evolution of the Okcheon Belt.
Asia-Pacific Journal of Business Venturing and Entrepreneurship
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v.17
no.4
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pp.163-172
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2022
This study investigates the IPI (Information Protection Intention) of DHS (Digital Healthcare Service) providers by introducing PMT (Protection Motivation Theory). This study examines the effects of protection motivation, such as threat appraisal and coping appraisal, on IPI, such as ICI(Induction Control Intention) and SDI(Self Defense Intention). The research model, based on the PMT, adopted severity, vulnerability, reaction efficacy and self-efficacy as independent variables. The research model was validated through quantitative research, a survey of 222 DHS providers in South Korea, using structural equation modeling. The results show that (1) a clear awareness of the consequences of security threats increases the understanding of DHS providers on the severity of closure of healthcare information, and thus may decreases abuse of DHS by providers; (2) user confidence and satisfaction on the security system may make them be confident that they can handle the closure of healthcare information by themselves; and (3) although DHS providers are realizing the consequences of closure of healthcare information, they think that they are unlikely to encounter such situations. As a result of this study, venture companies that provide DHS need to provide contents that can continuously increase providers' security level in order to increase providers' information protection intention. It suggests that IPI is important through trust of healthcare service providers.
Kim, Hyung-Sik;Jeon, Joon-Hyeok;Kim, Hee-Jun;Ahn, Joon-Seon
The Journal of Korea Institute of Information, Electronics, and Communication Technology
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v.12
no.3
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pp.282-289
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2019
Reflective and solar LED road studs are being used as a way of securing visibility for road environments. Road markers have various advantages and disadvantages in terms of versatility, efficiency, simplicity and visibility as individual products of reflective type and solar LED. However, in addition to the above, it is possible to prevent secondary accident after accident, It has a common drawback that it is difficult to have. In this paper, we propose a road stud system incorporating a wireless control function using RF - based communication with existing solar LED road studs and a system for controlling them. The proposed system is called the smart road stud system and it can control the equipment through the central control unit and the relay unit connected to the central control room by incorporating the RF communication function in the existing solar LED road stud. In addition, since it is possible to control the lighting method, color, etc. according to the road condition, it is possible to provide the driver with the state of the road to perform the function for preventing the second accident after the accident. It also adds features that minimize the ongoing power consumption of LED and RF communications. In order to verify the validity of the proposed system, prototypes were produced and it was confirmed that it is possible to act as a university for prevention of accident after accident by linking with other traffic system besides accident prevention function by securing existing visibility.
Recommendation system plays a significant role on relieving difficulties of selecting information among rapidly increasing amount of information caused by the development of the Internet and on efficiently displaying information that fits individual personal interest. In particular, without the help of recommendation system, E-commerce and OTT companies cannot overcome the long-tail phenomenon, a phenomenon in which only popular products are consumed, as the number of products and contents are rapidly increasing. Therefore, the research on recommendation systems is being actively conducted to overcome the phenomenon and to provide information or contents that are aligned with users' individual interests, in order to induce customers to consume various products or contents. Usually, collaborative filtering which utilizes users' historical behavioral data shows better performance than contents-based filtering which utilizes users' preferred contents. However, collaborative filtering can suffer from cold-start problem which occurs when there is lack of users' historical behavioral data. In this paper, hybrid music recommendation system, which can solve cold-start problem, is proposed based on the playlist data of Melon music streaming service that is given by Kakao Arena for music playlist continuation competition. The goal of this research is to use music tracks, that are included in the playlists, and metadata of music tracks and playlists in order to predict other music tracks when the half or whole of the tracks are masked. Therefore, two different recommendation procedures were conducted depending on the two different situations. When music tracks are included in the playlist, LightFM is used in order to utilize the music track list of the playlists and metadata of each music tracks. Then, the result of Item2Vec model, which uses vector embeddings of music tracks, tags and titles for recommendation, is combined with the result of LightFM model to create final recommendation list. When there are no music tracks available in the playlists but only playlists' tags and titles are available, recommendation was made by finding similar playlists based on playlists vectors which was made by the aggregation of FastText pre-trained embedding vectors of tags and titles of each playlists. As a result, not only cold-start problem can be resolved, but also achieved better performance than ALS, BPR and Item2Vec by using the metadata of both music tracks and playlists. In addition, it was found that the LightFM model, which uses only artist information as an item feature, shows the best performance compared to other LightFM models which use other item features of music tracks.
This study was conducted for technology development and industrial and enterprise system design for the sustainable life of mankind. Human society is facing a crisis. As the power of mankind has increased due to the development of nuclear weapons and information and communication technologies, the risk of human society has greatly increased. The value of growth and freedom is increasing due to capitalism and democratic systems, so technological innovation is accelerating, and industries and companies are growing significantly. New technologies and industries can greatly develop human society and put it at risk. This study was conducted with the aim of redesigning technology, industry, and enterprise systems so that humans who live on Earth can be more sustainable for a longer time. It presented a practical alternative for a long-term sustainable human society. It suggested alternatives for what philosophy and methodology should be developed for the whole of humanity and in each individual national society, for developing technologies, fostering industries, and operating corporate systems. First of all, the problems of the technology development system, industrial system, and enterprise system of human society were analyzed. The characteristics and problems were analyzed in terms of sustainability of human society. The necessary and sufficient conditions for an alternative system to solve the raised problems were derived. A system that satisfies these conditions was designed and presented. The alternative system was named as a servicism system as a system based on the service philosophy. The structure, operation model, and implementation plan of the new technology industry enterprise system were presented. In the future, follow-up studies are needed to be concreted at the level of individual countries and human society as a whole.
As the network-related technology develops the number of both Internet users and the usage are explosively increasing. The networking traffic is increasing in the campus as the networking system inside universities, following the trend, adds more nodes and various networking services. Nonetheless, the quality of services for users has been degraded. Accordingly, core problems, which can cause troubles for network management, design and expansion of the network, and the cost policy, has appeared. To effectively cope with the problems with analyses a great number of technicians, tools, and budget are needed. However, it is not possible for mid and small-sized colleges to spend such a high expenditure for professional consulting. To reduce the cost and investment creating the optimized environment, the analyses on the replacement of the tools, changing the network structure, and performance analysis about capacity planning of networking is necessary. For this reason, in this paper, framework-based performance management tools are used for all steps that are related to the subject of the analysis for the network management. As the major research method, the current data in detailed categories are collected, processed, and analyzed to provide the solution for the problems. As a result we could manage the network, server, and application more systematically and react efficiently to errors and degrading of performance that affect the networking tasks. Also, with the scientific and organized analyses the overall efficiency is upgraded by optimizing the cost for managing the operation of entire system.
Recently, various services using artificial intelligence(AI) are emerging in the media field as well However, most of the video editing, which involves finding an editing point and attaching the video, is carried out in a passive manner, requiring a lot of time and human resources. Therefore, this study proposes a methodology that can detect the edit points of video according to whether person in video are spoken by using Video Swin Transformer. First, facial keypoints are detected through face alignment. To this end, the proposed structure first detects facial keypoints through face alignment. Through this process, the temporal and spatial changes of the face are reflected from the input video data. And, through the Video Swin Transformer-based model proposed in this study, the behavior of the person in the video is classified. Specifically, after combining the feature map generated through Video Swin Transformer from video data and the facial keypoints detected through Face Alignment, utterance is classified through convolution layers. In conclusion, the performance of the image editing point detection model using facial keypoints proposed in this paper improved from 87.46% to 89.17% compared to the model without facial keypoints.
Journal of Korean Library and Information Science Society
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v.48
no.1
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pp.43-75
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2017
In this study, Employment Status and Environment of Librarian, to investigate the employment prospect survey was conducted to the subjects of a librarian. The results of this study are as follows. First of all, employment environment of the library site base on the cognitive survey was showed that low wages, unstable jobs, difficulty in work due to staff placement that does not match majors, disagreement with the boss, self-regard as a librarian, excessive workload, a poor work environment etc. Second, the field workers preferred cultural program related electronic information organisation and service as the contents to be added to the curriculum of the library information department of the university. Third, the employment environment of irregular workers is characterised by high competition, low wages, high turnover number, and excessive workload. Fourth, The biggest problem when preparing for employment was the lack of employment information. Therefore, various improvement measures based on the results of the above studies are required, especially, construction of employment information system, Introduction of the field - based curriculum, specific employment conditions are required when hiring.
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