• The Journal of Engineering Research
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• v.5 no.1
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• pp.17-35
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• 2004

Svg(Scalable Vector Graphics) is xml graphic standard recommended by E3C as a language based on xml to express two-dimension graphic. Svg can accommodate all Xml's patency and advantage of interoperability, and can used as various web applications being combined with other xml language. In addition, Svg can be applied to the fields of electronic commerce, geographical information, computer education and advertisement because it can produce high quality of dynamic from real-time data. SVG's application can be enhanced by linking with database. In this paper, we discuss how Svg can be utilized in theater reservation system, not just explaining svg's meaning or ability. Svg added graphic advantage in addition to xml's advantage. This means that svg retains not only graphic element but also xml's softness. It becomes easier to designate seats and add them. Current reservation system provided in general only information on time and price for a ticket, but the system using SVG in this paper provides additional information on position, price, cancellation and purchase availability of seat.

• Korean Journal of Acupuncture
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• v.37 no.1
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• pp.54-62
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• 2020

Objectives : Acute low back pain syndrome causes pain and poor quality of life. There are various studies of SBV (Sweet bee venom) pharmacopuncture, but few have identified the therapeutic effects for patients unable to walk due to acute back pain. This case series report three cases of acute low back pain syndrome treated with SBV pharmacopuncture combined with Korean Medicine (KM) treatments. Methods : Three acute low back pain syndrome patients with no other acute abnormalities in the imaging were treated by KM treatments including SBV pharmacopuncture, acupuncture, cupping, herbal medicine and physical therapy. The improvement of symptoms was evaluated using Numerical rating scale (NRS), Oswestry disability Index (ODI), EuroQol-5 dimension index (EQ-5D) and EuroQol-visual analogue scale (EQ-VAS). Results : Patients who were unable to walk due to acute back pain were able to walk. There were significant improvements of NRS, ODI, EQ-5D and EQ-VAS after treatment. The patients experienced an average 90% decrease in low back pain after inpatient KM treatment for about 8 days. NRS decreased by an average of 78.9%, ODI decreased by an average of 49.4%, and EQ-VAS increased by an average of 92.6%. In the case 1, EQ-5D decreased in all categories, but in the case 2, it decreased in all categories except for pain/discomfort and anxiety/depression, but in the case 3, it decreased in all categories except anxiety/depression. There was no serious side effect after treatment of SBV pharmacopuncture. Conclusions : KM treatments including SBV pharmacopuncture may be effective for acute low back pain syndrome patients. However, randomized controlled trials are needed in the future to confirm the clinical effects of these interventions.

• The Journal of Internal Korean Medicine
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• v.40 no.3
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• pp.506-516
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• 2019

Objectives: This study aimed to report five patients who had multiple rib fractures after a traffic accident who improved with the combination of Korean medical admission treatment. Methods: We collected the data of traffic accident patients with multiple rib fractures who were admitted to the Daejeon Jaseng Hospital of Korean Medicine from April 2018 to May 2018 to receive the combinational Korean medical treatment. We observed these cases of patients treated by Acupuncture, Pharmacopuncture, Herbal medicine, Oriental physical therapy, Chuna treatment. We measured the validity of the treatment with a numerical rating scale (NRS) and the European Quality of Life-5 Dimension (EQ5D) at admission, at two weeks, and at the discharge date of hospitalization. Results: At the end of the treatment, all patients showed a decrease in NRS scores and in increase in EQ5D. The median NRS score was 6 (5-7) at the date of admission and 4 (2-7) at two weeks and then decreased to 3 (2-6). The median EQ5D score was 0.513 (0.350-0.752) at the date of admission and 0.692 (0.418-0.913) at two weeks, and then increased to 0.783 (0.671-0.913). Conclusions: After the combination of Korean medicine admission treatment, five patients with multiple rib fractures after a traffic accident showed that the treatments were effective. However, the number of subjects was insufficient and individual efficacy was not measured in this study. Therefore, further studies are needed on this topic.

• Journal of the HCI Society of Korea
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• v.14 no.2
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• pp.41-47
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• 2019

In this study, a smart assistive device is designed to recognize pedestrian signal and to provide audio instructions for visually impaired people in crossing streets safely. Walking alone is one of the biggest challenges to the visually impaired and it deteriorates their life quality. The proposed device has a camera attached on a pair of glasses which can detect traffic lights, recognize pedestrian signals in real-time using a machine learning algorithm on GPU board and provide audio instructions to the user. For the portability, the dimension of the device is designed to be compact and light but with sufficient battery life. The embedded processor of device is wired to the small camera which is attached on a pair of glasses. Also, on inner part of the leg of the glasses, a bone-conduction speaker is installed which can give audio instructions without blocking external sounds for safety reason. The performance of the proposed device was validated with experiments and it showed 87.0% recall and 100% precision for detecting pedestrian green light, and 94.4% recall and 97.1% precision for detecting pedestrian red light.

• International Journal of Computer Science & Network Security
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• v.21 no.3
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• pp.257-265
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• 2021

Modern methods of regulating migration processes in EU states include a wide variety of adapted, transformed under the sway of globalization tools in order to influence the movement of human capital within the European space. The main purpose of the regulatory policy on migration flows is the redistribution of professionally competent professionals between different spheres of life. Herewith, the determining factor in the effectiveness of such distribution is a rational combination of stimulating and disincentive levers of influence on the movement of citizens of different EU countries and taking into account the motives of such mobility. Modernization of migration management approaches can be a major economic, social, political and cultural progress of European countries. The purpose of the research is to conduct a detailed analysis of existing practices of migration flow management, in particular their stimulation or containment, and to outline key migration trends formed under the influence of multicomponent approaches to migration regulation, transformation of regulatory legislation and changing priorities of modern society. The research methods: statistical-analytical method; ARIS method; method of tabular, graphical and analytical modeling; comparative analysis; systematization, generalization. Results. Current pan-European methods of regulating migration processes are insufficiently adapted to the multinational socialeconomic space; consequently, there are some disparities in the distribution of migrants between EU countries, although the overall dynamics of migration is positive. Fluctuations in the population of European countries during 2000-2019 and trends in the transformation of social-economic space confirm the insufficient level of influence of current methods of regulating migration flows. Along with this, the presence of a characteristic asymmetry in the distribution of migrants requires a greater focus on the modernization of regulatory instruments, in particular, the regulatory mechanism for managing migration processes. As a result of the conducted study, further prospects for the implementation of alternative methods of regulating migration processes in EU states have been outlined; the current and projected limits for increasing the level of observance of migrants' rights at the European level have been clarified through the adoption of appropriate regulatory acts; effective solutions for intensifying the influx of high-quality labor resources from different countries to EU have been identified. The research results can be used to study methods of regulating migration processes in the countries in the global dimension.

• KIPS Transactions on Computer and Communication Systems
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• v.9 no.12
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• pp.291-306
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• 2020

Nowadays, Data-Network-AI (DNA)-based intelligent services and applications have become a reality to provide a new dimension of services that improve the quality of life and productivity of businesses. Artificial intelligence (AI) can enhance the value of IoT data (data collected by IoT devices). The internet of things (IoT) promotes the learning and intelligence capability of AI. To extract insights from massive volume IoT data in real-time using deep learning, processing capability needs to happen in the IoT end devices where data is generated. However, deep learning requires a significant number of computational resources that may not be available at the IoT end devices. Such problems have been addressed by transporting bulks of data from the IoT end devices to the cloud datacenters for processing. But transferring IoT big data to the cloud incurs prohibitively high transmission delay and privacy issues which are a major concern. Edge computing, where distributed computing nodes are placed close to the IoT end devices, is a viable solution to meet the high computation and low-latency requirements and to preserve the privacy of users. This paper provides a comprehensive review of the current state of leveraging deep learning within edge computing to unleash the potential of IoT big data generated from IoT end devices. We believe that the revision will have a contribution to the development of DNA-based intelligent services and applications. It describes the different distributed training and inference architectures of deep learning models across multiple nodes of the edge computing platform. It also provides the different privacy-preserving approaches of deep learning on the edge computing environment and the various application domains where deep learning on the network edge can be useful. Finally, it discusses open issues and challenges leveraging deep learning within edge computing.

• The Journal of Churna Manual Medicine for Spine and Nerves
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• v.16 no.2
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• pp.69-77
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• 2021

연구 배경 최근 한국 및 중국에서 근골격계 질환에 대한 도침술의 활용이 늘고 있다. 하지만 현재까지의 임상연구는 대부분 증례보고 형태에 그치거나, 충분한 근거가 확보되지는 않은 실정이다. 우리는 요천추신경병증환자의 치료에 있어 도침치료와 통상한의치료와의 비교를 통해 도침치료의 유효성, 안전성, 경제성 평가를 시행하기 위해 본 연구를 기획하게 되었다. 연구 방법 본 연구는 예비임상 연구로, 다기관에서 진행되며, 무작위대조군, 활성 대조군을 통한 2개군 병행집단 연구로 평가자 맹검을 시행하게 된다. 이 연구에서는 총 50명의 요천추신경병증 환자를 대상으로 2개군으로 균등하게 분배하여 도침술 또는 통상한의치료를 시행하게 된다(각군당 25명). 도침술 그룹의 경우 협척혈에 도침치료를 시행 받게 되며, 통상 한의치료군은 연구자 판단하에 도침술을 제외한 적절한 한의치료를 시행 받게 된다. 두 개의 그룹은 주당 2회씩 총 3주간 치료를 받게 된다. 일차 유효성 평가는 요통으로 인한 기능장애를 평가하기 위한 Oswestry disability index를 통해 시행한다. 이차 유효성 평가지표로는 numeric rating scale, European Quality of Life 5-Dimension 5-Level, short-form McGill Pain Questionnaire, Roland-Morris Disability Questionnaire scores를 시행하게 된다. 고찰 본 예비임상연구의 결과는 추후 있을 요천추신경병증에 대한 도침치료 및 한의통상치료 비교효과 연구의 유효성, 경제성평가 본 임상연구를 위한 기초 정보 및 가능성을 확인하고 적절한 대상자수 산정에 도움이 될 것이다.

• Journal of Marine Life Science
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• v.8 no.1
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• pp.87-92
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• 2023

Microplastic particles are ubiquitous in the environment and not standardized particles of size, shape, or type. Therefore, it is very limited to establish a risk assessment framework that accurately evaluated and manage the multi-dimension of marine environment including seawater and sediment based on toxic data. In the study, we review the characteristics and effects of marine environmental microplastic and suggest risk assessment framework (draft) based on the distribution and impact of marine environmental microplastics. Although, the characteristics of environmental microplastic are very widely but the most abundant toxic data are concentrated on unique shape and type, and there are also large gaps of test organism between laboratory-exposed organisms and resident species. Great limitations with respect to toxicity data quality also exist for traditional effect assessment methods, which in reliability of the resulting risk characterizations. However, considering the fact that the international community's movement on microplastics management is gradually strengthening and the pollution level of microplastics in marine environment is increasing, further research on environmental relevant risk assessment technique should be proposed based on the characteristics of microplastics in the marine environment.

• 한국노년학
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• v.30 no.4
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• pp.1027-1044
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• 2010

This study is to examine the effective system for providing services for long-term care elders, despite the expansion of formal care, informal care still is needed. Thus, this study's purpose is to classify the informal-formal resources linkages types of long-term care elders and looks into service satisfaction by these types and discover effective informal-formal resources linkages models. For that, this study is to divide informal-formal resources linkages types by the degree of providing services of informal and formal caregivers and discover the informal-formal resources linkages types using cluster analysis and explores the effectiveness of service satisfaction using multiple regression. The study's results is to suggest four models, such as family care, complementary, separation, formal service and complementary type was founded to be the most effective and then based on the result, we discuss as follows. First, we must strive to combine informal resources into formal service systemto the system for providing of service is made up the complementary type. Second, the system for providing services of long-term care elders is required integrated care system to alining of medical and long-term care services. Third, we have to consider a measure to improve of formal service type, for the satisfaction of formal service appears low relatively. Based on research findings, this study propose that the informal-formal resources linkages models are subdivided into the dimension of quantity and quality of care for improving the effectiveness of long-term care services.

• Journal of the Korea Institute of Building Construction
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• v.23 no.5
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• pp.607-618
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• 2023

Pervasive research underscores the direct correlation between an enhanced safety climate and a marked reduction in accidents. The intricacies of safety climate are governed by three pivotal strata: organizational management, on-site operations, and the broader enterprise framework. Within an organizational context, sustaining optimal performance across these layers poses a considerable challenge, often attributable to the constraints of available managerial bandwidth. It becomes imperative, then, to conceive a phased enhancement blueprint for the safety climate. To orchestrate this blueprint with precision, a discerning understanding of the hierarchy of safety climate metrics is essential, which subsequently guides judicious managerial resource allocation. This investigation is anchored in elucidating the hierarchical significance of safety climate metrics through the Analytical Hierarchy Process(AHP). Implementing the AHP framework, both a questionnaire was disseminated and a subsequent analysis undertaken, culminating in the extraction of relative priorities of safety climate determinants. Consequent to this analysis, "workers' safety prioritization and risk aversion" emerged as the foremost dimension, holding a significance weight of 0.1900. Furthermore, within the detailed elements, "unwavering adherence to safety mandates amidst demanding operational constraints" ranked supreme, manifesting a weight of 0.6663. The findings encapsulated in this study are poised to be foundational in sculpting improvements at an institutional level and devising policies, all with the end goal of fostering an exemplar safety climate within construction arenas.