• International Journal of Computer Science & Network Security
• /
• v.21 no.1
• /
• pp.12-18
• /
• 2021

This paper proposes a framework for the development of the health recommender system, designed to cater COVID-19 symptoms' self-assessment and monitoring as well as to provide recommendations for self-care and medical treatments. The aim is to provide an online platform for Patient Under Investigation (PUI) and close contacts with positive COVID-19 cases in Malaysia who are under home quarantine to perform daily self-assessment in order to monitor their own symptoms' development. To achieve this, three main phases of research methods have been conducted where interviews have been done to thirty former COVID-19 patients in order to investigate the symptoms and practices conducted by the Malaysia Ministry of Health (MOH) in assessing and monitoring COVID-19 patients who were under home quarantine. From the interviews, an algorithm using user-based collaborative filtering technique with Pearson correlation coefficient similarity measure is designed to cater the self-assessment and symptoms monitoring as well as providing recommendations for self-care treatments as well as medical interventions if the symptoms worsen during the 14-days quarantine. The proposed framework will involve the development of the health recommender system for COVID-19 self-assessment and treatments using the progressive web application method with cloud database and PHP codes.

• International Journal of Computer Science & Network Security
• /
• v.21 no.2
• /
• pp.148-157
• /
• 2021

The effectiveness of recommendation systems depends on the performance of the algorithms with which these systems are designed. The quality of the algorithms themselves depends on the quality of the strategies with which they were designed. These strategies differ from author to author. Thus, designing a good recommendation system means implementing the good strategies. It's in this context that several research works have been proposed on various strategies applied to algorithms to meet the needs of recommendations. Researchers are trying indefinitely to address this objective of seeking the qualities of recommendation algorithms. In this paper, we propose a new algorithm for recommending learning items. Learner performance predictions and collaborative recommendation methods are used as strategies for this algorithm. The proposed performance prediction model is based on convolutional neural networks (CNN). The results of the performance predictions are used by the proposed recommendation algorithm. The results of the predictions obtained show the efficiency of Deep Learning compared to the k-nearest neighbor (k-NN) algorithm. The proposed recommendation algorithm improves the recommendations of the learners' learning items. This algorithm also has the particularity of dissuading learning items in the learner's profile that are deemed inadequate for his or her training.

• International Journal of Knowledge Content Development & Technology
• /
• v.12 no.1
• /
• pp.17-34
• /
• 2022

This informetrics study was conducted to find out the distribution of articles and authors that published in African Journal of Library, Archives and Information Studies [AJLAIS]) from 2009 to 2018; considering the year-wise growth of research articles; authorship pattern and collaboration ratio; subject and geographical distributions of authors; and authors' productivity level. A descriptive informetrics research design was adopted. Quota sampling technique was used to select all the articles published within the ten-year period. Data collected through a self-designed checklist was analyzed using frequency count and percentage. The findings revealed that 141 articles, contributed by 266 authors were published by AJLAIS during the period. An annual average growth of 1.20% was recorded. Overall year-wise authorship pattern revealed that majority of articles (62.41%) published in AJLAIS were multiple authored. Also, articles on Informetrics and ICT dominated the journal. Some subject areas not covered were identified such as: indexing and serial collections management. Average collaborative index across the 10-year period for the journal was 0.62. South Africa and Nigeria were the two major prolific contributors to AJLAIS, just as evidence-based research papers of survey type (65.25%) were the most common to the journal. There should be increased numbers of articles in each edition over the coming years, and awareness should be created by the publishers to familiarize the researchers with the publishing requirements of the journal. Also, LIS researchers should concentrate more on areas usually left untouched by previous studies. The study is original as no other similar study was found on publication pattern of articles in AJLAIS covering a ten year period of 2009-2018. The findings of the study will also serve as a feedback mechanism for the Publisher of the Journal and LIS researchers on how to improve the journal and LIS research in general.

• Journal of Navigation and Port Research
• /
• v.32 no.2
• /
• pp.127-132
• /
• 2008

The safety degree of navigation for collision avoidance is closely related with the combination between mariner's behavior and navigational environment. The condition of navigational environment is mainly decided by navigable waters, ship traffic, rule of road, sea state, weather and so on. Especially, the condition of navigable waters and ship traffic in navigational environment are ones of the important factors to attain safe navigation when mariners are underway and crossing, head on or overtaking situation. Thus this paper is to analyze the characteristics of mariner's behavior for collision avoidance caused by ship traffic and navigable waters by analyzing the contents of questionnaire and the results of international collaborative research. As a result, it can be concluded that the density of ship traffic and the area of navigable waters affect mariner's ship handling for collision avoidance.

• Journal of the Korean Society for Library and Information Science
• /
• v.55 no.1
• /
• pp.365-392
• /
• 2021

In order to assess the state of library and information science (LIS) research in Korea, the study analyzed bibliometric data of papers published in past 18 years in Korea Citation Index (KCI) and Social Science Citation Index (SSCI) journals. The analysis of study data, which consisted of 6,301 KCI journal papers with 26,474 citations and 86,727 SSCI journal papers with 1,196,961 citations from 2002 to 2020, involved comparison of research productivity and impact, collaboration trends, and key areas of research between domestic and international LIS scholars with normalizations by units of analysis for size differences. Even with size normalization, the study found a marked difference in citation patterns between domestic and international LIS research. Korean LIS authors were twice as productive as international LIS authors but a little over a half as impactful. The results also showed a much higher level of skewness in international research, where a fraction of top authors, institutions, and journals received a lion's share of citations. The trend of increasing co-authorship was much more pronounced among international publication, where the recent popularity of larger collaboration groups suggests multi-disciplinary and increasingly complex nature of modern LIS research in the world stage. The keyword analysis revealed a much more diverse subject area in international than domestic LIS research with a recent shift towards technology, such as big data, blockchain, and altmetrics. Keywords in SSCI journals also exhibited a less connection between popularity and impact than KCI keywords, where popular keywords did not necessarily correspond to impactful keywords.

• Cartoon and Animation Studies
• /
• s.39
• /
• pp.365-391
• /
• 2015

The purpose of this study is to comprehend the characteristics of collaborative examples in mobile games by analyzing the types of cultural fusion and their utilization in mobile game industry. The major examples of collaborations include the collaborative works utilizing artists, characters, and products by examining the practical collaborations within international mobile games between the years 2010 to 2014. The most typical kind of collaboration among them is the utilization of characters, composed of using characters between games, applying animation characters, borrowing cartoon or web-cartoon characters, hiring famous celebrities, or even including great men in their games. Therefore, the characteristics of mobile game's collaborative types are confirmed as below by studying the above examples. (1) There are many examples of collaborating between different types of businesses defined as 'conversion type fusion.' (2) The character utilization is the most sought after type of collaboration. (3) The applied content's target audience seems to share the same age groups of the game's audience. (4) The game industry always adopts the components that could be recognized instantly. (5) The status and influence of mobile game have risen greatly. Consequently, this research has important role in establishing the strategic collaborative plans for mobile game business by expanding the prospects of game related researches and industrial and academic theories.

• Korean Journal of Health Education and Promotion
• /
• v.27 no.5
• /
• pp.73-78
• /
• 2010

Background: Although collaboration for community health is emphasized, the concept and process of collaboration are rather unclear. International research has classified the types of collaboration and focused on the factors influencing successful collaboration. Greater attention is needed for collaboration practice and research domestically. Findings: By the level of intensity, the types of collaboration range from simpler networking to more formal and sophisticated collaboration. A 4-stage collaboration development consists of formation, implementation, maintenance, and institutionalization stages. Influential factors for collaboration development include: shared goals; operational structure and process; sufficient resources; member and leadership characteristics; environment and climate for collaboration; and information exchange and communication. Discussion: Most of collaboration research so far has dealt with partnerships and coalition building with community-based organizations, and much attention is given to private-public partnership for health. Contextual understanding and collaborative environment are the foremost tasks for us to enhance collaboration for community health in our centralized public health system.

• Journal of Korea Trade
• /
• v.27 no.1
• /
• pp.19-41
• /
• 2023

Purpose - Conventional supply chains (SCs) must identify facilitating roles, such as port or terminal operators, shipping companies, and freight forwarders in executing the various logistical activities that support the organizational strategies of shippers. Meanwhile, supply chain collaborative practices can engender a willingness to share relevant and mutually helpful information. To this end, this study seeks to identify the impact of supply chain integration (SCI) on information sharing (IS) and the operational performance (OP) of Korea's container-shipping industry from the perspective of social capital. Design/methodology - We established the research model for this study based on previous studies. In administering the survey, we obtained 149 valid responses from employees working in liner-shipping companies and freight forwarders in Korea. With the collected questionnaires, the study's hypotheses were tested using SPSS 26.0 and AMOS 26.0 Findings - The results indicate the existence of a mediated relationship where the impact of SCI on OP is mediated by IS. The effect of external integration (EI) on OP is fully mediated by information quality (IQ) and information-sharing content (ISC). Furthermore, EI, IQ and ISC partially mediate the relationship between internal integration (II) and OP. Originality/value - This study expands SCI contexts, where ISC and IQ respectively serve as bridges between EI and OP which has crucial implications for container-shipping companies in terms of improving their performance.

• International Journal of Advanced Culture Technology
• /
• v.12 no.2
• /
• pp.270-280
• /
• 2024

This study aims to explore innovative measures for community policing activities of the Korean police in the context of the newly implemented autonomous police system and the increasing demand for community-oriented policing. By conducting an in-depth analysis of advanced community policing practices in the United States, Japan, and the United Kingdom, this research identifies key characteristics such as resident participation, communication, scientific crime analysis, and customized policing services. The study reveals the need for the Korean police to establish a collaborative governance system that actively involves residents, strengthen scientific policing capabilities utilizing advanced technologies, and provide policing services tailored to local characteristics. Organizational and personnel management reforms, including the substantiation of the local police officer system and the establishment of an institutional foundation for resident participation, are proposed. Furthermore, this study emphasizes the importance of developing a creative community policing model suitable for the Korean context, rather than directly transplanting overseas practices. Continuous research and efforts to build a new policing paradigm that reflects the changing social environment and policing demands are suggested. Ultimately, the success of community policing lies in the active participation and cooperation of all members of society, including the police, government, local communities, and residents.

• International Journal of Knowledge Content Development & Technology
• /
• v.4 no.2
• /
• pp.67-95
• /
• 2014

Knowledge Management (KM) is a collaborative and integrated approach adopted at various levels to ensure that an organization's knowledge assets are best utilized to increase organizational performance. While KM has been adopted in a large number of sectors and organizations, colleges and universities, and the higher education sector in general, is yet to take full advantage of the possibilities offered by KM. Also, while past research has sought to highlight the importance of implementing KM in higher education, there is a lack of a single, clear template for KM implementation that universities leaders and administrators can adopt. The contribution of the paper is a practical, actionable, step-by-step plan, as well as a diagrammatic, theoretical framework for initiating KM successfully in colleges and universities.