Journal of the Korea Institute of Information and Communication Engineering
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v.26
no.10
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pp.1551-1558
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2022
We propose a two-tier cooperative computing system comprised of a mobile device and an edge server for partial offloading of multi-branch structures in Fog/Edge Computing environments in this paper. The proposed system includes an algorithm for splitting up application service processing by using reconstructive linearization techniques for multi-branch structures, as well as an optimal collaboration algorithm based on partial offloading between mobile device and edge server. Furthermore, we formulate computation offloading and CNN layer scheduling as latency minimization problems and simulate the effectiveness of the proposed system. As a result of the experiment, the proposed algorithm is suitable for both DAG and chain topology, adapts well to different network conditions, and provides efficient task processing strategies and processing time when compared to local or edge-only executions. Furthermore, the proposed system can be used to conduct research on the optimization of the model for the optimal execution of application services on mobile devices and the efficient distribution of edge resource workloads.
Objectives This review investigates the effectiveness of electroacupuncture for impairment of motor and sensory functions after spinal cord injury. Methods The databases used for the search were PubMed, Cochrane Library, EMBASE, China National Knowledge Infrastructure (CNKI), National Digital Science Library (NDSL), Koreanstudies Information Service System (KISS), Research Information Sharing Service (RISS), KMBASE, and Oriental Medicine Advanced Searching Integrated System (OASIS). The literature were searched using a total of 9 domestic and foreign databases. Randomized controlled trials (RCTs) using electroacupuncture as an intervention was selected. The selected studies are analyzed the risk of bias through Cochrane risk-of-bias tool, and meta-analysis was perfomed using RevMan version 5.3 (The Nordic Cochrane Centre, The Cochrane Collaboration, Copenhagen, Denmark). Results A total of 14 RCT studies were selected through 9 domestic and foreign databases, and analyzed. As a result of meta-analysis, when electroacupuncture was performed together with rehabilitation treatment or western drug treatment, it was effective in the recovery of motor and sensory functions of spinal cord injury patients. Conclusions This review suggests that electroacupuncture can be applied as an effective treatment for the recovery of motor and sensory functions of spinal cord injuries. However, there are several limitations, including the small number and heterogeneity of the included studies, as well as their poor methodological quality. Therefore, further, higher-quality studies should be required.
With the creation of a multi-platform media environment, contents production flows through convergence are being detected in the broadcasting contents sector, breaking the boundary between each other and breaking away from the rigid atmosphere of the past, when broadcasters were strictly divided or careful to comment on other programs. It is also quite encouraging that the method of collaboration has been done horizontally as a win-win strategy of co-existence and co-existence, not vertically based on one side's recognition or program popularity. Thus, this study noted the establishment of a world view to capture transmedia phenomena that transcend boundaries between each other to adapt and survive the rapidly reshaping media ecosystem at the base of this trend and to maintain the type of convergence and unrivaled value that emerges in various forms in the process. The research targets were selected for 'Usanseul' and 'Pengsoo', which are prominent in these movements and produce significant results at this point, and analyzed and compared to the results.
Recently, safety issues in companies and public institutions are no longer a task that can be postponed, and when a major safety accident occurs, not only direct financial loss, but also indirect loss of social trust in the company and public institution is greatly increased. In particular, in the case of a fatal accident, the damage is even more serious. Accordingly, as companies and public institutions expand their investments in industrial safety education and prevention, open AI learning model creation technology that enables safety management services without being affected by user behavior in industrial sites where high-risk situations exist, edge terminals System development using inter-AI collaboration technology, cloud-edge terminal linkage technology, multi-modal risk situation determination technology, and AI model learning support technology is underway. In particular, with the development and spread of artificial intelligence technology, research to apply the technology to safety issues is becoming active. Therefore, in this paper, an open cloud platform design method that can support AI model learning for high-risk site safety management is presented.
Background: With the increasing demand for industrial robots and the "noncontact" trend, it is an appropriate point in time to examine whether risk assessments conducted for robot operations are performed effectively to identify and eliminate the risks of injury or harm to operators. This study discusses why robot accidents resulting in harm to operators occur repetitively despite implementing control measures and proposes corrective actions for risk assessments. Methods: This study collected 369 operator-injured robot accidents in Korea over the last decade and reconstructed them into the mechanism of injury, work being undertaken, and bodily location of the injury. Then, through the techniques of Systematic Cause Analysis Technique (SCAT) and Root Cause Analysis (RCA), this study analyzed the root and direct causes of robot accidents that had occurred. Causes identified included physical hazards and complex combinations of hazards, such as psychological, organizational, and systematic errors. The requirements of risk assessments regarding robot operations were examined, and three case studies of robot-involved tasks were investigated. The three assessments presented were: camera module processing, electrical discharge machining, and a panel-flipping robot installation. Results: After conducting RCA and comparing the three assessments, it was found that two-thirds of injury-occurring from robot accidents, causative factors included psychological and personal traits of robot operators. However, there were no evaluations of the identifications of personal aspects in the three assessment cases. Conclusion: Therefore, it was concluded that personal factors of operators, which had been overlooked in risk assessments so far, need to be included in future risk assessments on robot operations.
In this study, we aimed to apply 3D digital printing to basic clothing production and to propose futuristic fashion design and production methods that correspond to contemporary trends. Literature on future trends, dynamism, mechanical aesthetics, and experimentalism were used to define the characteristics of "futurism." Based on theoretical considerations about futurism, we created fashion designs using 3D digital printing methods. These designs were produced using the aesthetic characteristics of futurism; the 3D digital clothing program; and application of digital printing technologies to futuristic silhouettes, colors, and materials. The results were as follows: First, with the application of futurism as a fashion motif, we pursued collaboration between artistic work and fashion, and we then explored the possibility of creative expression. Second, harmony between achromatic and chromatic colors revealed even better dynamism and activeness, and the potential to express dynamism was observed. Third, with the development of fashion design processes based on 3D digital printing methodologies, it was found to be possible to eliminate the limitations of time and space, solve problems related to limited budget or communication, and positively influence the fashion industry by enhancing convenience and diversity. Fourth, with the development of fashion design that utilizes digital printing, it was found that problems related to time, space, or limited budget were able to be solved, as compared to the use of traditional printing and image reproduction.
Omar Abdulrahmanal Alattas Alhashmi;Mohd Faizal Abdullah;Raihana Syahirah Abdullah
International Journal of Computer Science & Network Security
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v.23
no.2
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pp.173-182
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2023
The UAE government has set its sights on creating a smart, electronic-based government system that utilizes AI. The country's collaboration with India aims to bring substantial returns through AI innovation, with a target of over $20 billion in the coming years. To achieve this goal, the UAE launched its AI strategy in 2017, focused on improving performance in key sectors and becoming a leader in AI investment. To ensure public safety as the role of AI in government grows, the country is working on developing integrated cyber security solutions for SCADA systems. A questionnaire-based study was conducted, using the AI IQ Threat Scale to measure the variables in the research model. The sample consisted of 200 individuals from the UAE government, private sector, and academia, and data was collected through online surveys and analyzed using descriptive statistics and structural equation modeling. The results indicate that the AI IQ Threat Scale was effective in measuring the four main attacks and defense applications of AI. Additionally, the study reveals that AI governance and cyber defense have a positive impact on the resilience of AI systems. This study makes a valuable contribution to the UAE government's efforts to remain at the forefront of AI and technology exploitation. The results emphasize the need for appropriate evaluation models to ensure a resilient economy and improved public safety in the face of automation. The findings can inform future AI governance and cyber defense strategies for the UAE and other countries.
The Journal of Korean Academic Society of Nursing Education
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v.28
no.4
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pp.400-410
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2022
Purpose: This study aimed to understand the keywords and major topics of the educational goals and objectives of nursing educational institutions in South Korea. Methods: From May 10 to May 20, 2022, the educational goals and objectives of all 201 nursing educational institutions in South Korea were collected. Using the NetMiner program, degree and degree centrality, semantic structure, and topic modeling were analyzed. Results: The top keywords and semantic structures of educational goals included 'respect for human (life)-spirit-science-based on, global-competency-professional nurse-nursing personnel-training, professional-science-knowledge-skills, and patients-therapeutic care-relationship.' The educational goals' major topics were clients well-being based on science and respect for human life, a practicing nurse with capabilities and spirit, fostering a nursing personnel with creativity and professionalism, and training of global nurses. The top keywords and semantic structures of the educational objectives included 'holistic care-nursing-research-action-capability, critical thinking-health-problem solving-capability, and efficiency-communication-collaboration-capability.' The educational objectives' major topics were 'nursing professionalism, communication and problem-solving capability; a change of healthcare environments and a progress of nursing practices; fostering professional nurses with creativity and global capability; and clients' health and nursing practice.' Conclusion: Educational goals in nursing presented specific nursing values and concepts, such as respect for human life, therapeutic care relationships, and the promotion of well-being. Educational objectives in nursing presented the competencies of nurses as defined by the Korean Accreditation Board of Nursing Education (KABONE). Recently, the KABONE announced new program outcomes and competencies, which will require the revision of educational goals. To achieve those educational objectives, it is suggested that the expected level of competencies be clearly defined for nursing graduates.
This study conducted in-depth interviews with experts to implement Hanbok shows on metaverse, which can contribute to the succession and development of Hanbok design and to establish a platform that fits the reality of the Hanbok industry and consumers. In-depth interviews were conducted to collect opinions from experts, and the derived contents were divided and analyzed using an affinity diagram. Experts were positive about the use of the metaverse platform of the Hanbok show in terms of impact, accessibility, exposure, virtual fitting, issuance of NFTs, and promotion of Hanbok brands. As a result of verifying the validity of the four components of metaverse, experts highly evaluated the possibility of using Hanbok shows in the order of virtual reality, augmented reality, mirror world, and lifelogging. Visuality, influence, marketing efficiency in virtual reality, immersion in augmented reality, fantasy and artistic elements, expression, diversity, and abundant experiences were expected. The platform's requirements emphasized realistic implementation equipment and technology, collaboration between Hanbok designers and producers, in addition to government support. Results of this study showed that appropriate target was analyzed to be in the 10-30s, and the appropriate price range was found to be able to sell at a discount of 40-80% compared to offline. This study provides useful implications for the service development of metaverse content, which will also be actively used in the Hanbok field, and can be used as basic data for reviving the Korean Hanbok industry and strengthening international competitiveness.
Various video conferencing and collaboration applications have emerged due to the global epidemic of new viral infections. In addition to real-time video conferencing, video conferencing applications provide features such as chat and file sharing on various platforms. Because various personal information is stored through functions such as chatting, file and screen sharing, these video conferencing applications are the major target of analysis from a digital forensic investigation. In the case of applications that provide cross-platform, the form of stored data is different depending on the platform. Therefore, to utilize data of video conferencing application for forensic investigation, preliminary research on artifacts stored by platform is required. In this paper, we used the video conferencing applications GoToWebinar and GoToMeeting and analyzed the artifacts generated. As a result, we list the main data from a digital forensic investigation. We identify data stored for each platform provided by GoToWebinar and GoToMeeting and organize artifacts that can estimate user behavior. Also, we classify the data that can be acquired according to the role and environment within the video conference.
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