• Title/Summary/Keyword: Network program

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Cloud Security Scheme Based on Blockchain and Zero Trust (블록체인과 제로 트러스트 기반 클라우드 보안 기법)

  • In-Hye Na;Hyeok Kang;Keun-Ho Lee
    • Journal of Internet of Things and Convergence
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    • v.9 no.2
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    • pp.55-60
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    • 2023
  • Recently, demand for cloud computing has increased and remote access due to home work and external work has increased. In addition, a new security paradigm is required in the current situation where the need to be vigilant against not only external attacker access but also internal access such as internal employee access to work increases and various attack techniques are sophisticated. As a result, the network security model applying Zero-Trust, which has the core principle of doubting everything and not trusting it, began to attract attention in the security industry. Zero Trust Security monitors all networks, requires authentication in order to be granted access, and increases security by granting minimum access rights to access requesters. In this paper, we explain zero trust and zero trust architecture, and propose a new cloud security system for strengthening access control that overcomes the limitations of existing security systems using zero trust and blockchain and can be used by various companies.

A study on the accessibility and utilization satisfaction of health centers in rural area, Paraguay (파라과이 농촌지역의 보건소 건립 후 접근성과 이용만족도에 관한 연구)

  • Kim, Ji Eon;Chung, Min Ah;Nam, Eun Woo
    • Journal of The Korea Institute of Healthcare Architecture
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    • v.29 no.2
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    • pp.17-26
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    • 2023
  • Purpose: The purpose of this study is to identify policy implications for the construction of public health facilities in the field of international cooperation, by examining the case of establishing a health care delivery system using a public health center in a rural area of Paraguay. Methods: Firstly, to map the capacity of the 20 public health centers that were studied, we used the WHO Capacity Mapping tool to select and analyze relevant items. Secondly, to assess the utilization of public health centers, we conducted a direct visit survey and analyzed the results using the M-survey tool. Results: The floor plan of each public health center, the structure of the health center, the size of the population served by each health center, the number of monthly visitors, medical human resources, and the budget were classified by health center for comparative analysis. In addition, by utilizing the M-survey tool, we analyzed the general characteristics of the respondents, their perceptions of the purpose and accessibility of public health centers, their satisfaction with using public health centers, and the level of demand for public health centers to play a role in promoting community health. Implications: The results of this study suggest that access to public health facilities for residents in the research area was improved. By classifying public health centers into two types, these centers can perform the functions and roles of primary health facilities. A patient request and evacuation system was established in the research area. Finally, a network, such as a social prescribing program, is needed so that public health centers can function as a "setting" for community members to live together.

Effects of Gleditsiae Spina(GS) on Gene Expression of Human Breast Cancer Cells (조각자(皂角刺) 추출물이 인간 유래 유방암 세포의 유전자 발현에 미치는 영향)

  • Ban, Hye-Ran;Cho, Seong-Hee;Park, Kyung-Mi;Yang, Seung-Jeong
    • The Journal of Korean Obstetrics and Gynecology
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    • v.22 no.2
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    • pp.94-118
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    • 2009
  • Purpose: Gleditsiae spina (GS) has been used to treat patients with several diseases such as carbuncle, swelling and parasites. Recently GS is known to have anticancer activity in abdominal solid tumor, but the effects of GS on breast cancers is not clarified. For these reasons, we investigated effects of Gleditsiae spina (GS) on gene expression of human breast cancer cells. Methods: We investigated the effects of GS on proliferation of breast cancer cell line, MDA-MB-231. In addition, the genetic profile for the effect of GS on breast cancer cells was measured using microarray technique, and the functional analysis on these genes was conducted. Results: Total 1,434 genes were up-regulated and 2,483 genes down-regulated in the cells treated with GS. Genes induced or suppressed by GS were all mainly concerned with metabolic process, regulation of biological process and protein binding. The network of total protein interactions was measured using cytoscape program, and some key molecules that can be used for elucidation of therapeutical mechanism of medicine in future were identified. Conclusion: These results suggest possibility of GS as anti-cancer drug for breast cancer, and also suggest that related mechanisms are involved in regulation of intra-cellular metabolism in breast cancer cells.

Effects of Scutellariae Radix on Gene Expression of Human Cervical Cancer Cells(SNU-703) (황금추출물이 인간 유래 자궁경부암세포의 유전자발현에 미치는 영향)

  • Jo, Hyun-Jung;Gu, Hee-Jun;Cho, Seong-Hee;Park, Kyung-Mi;Yang, Seung-Jeong
    • The Journal of Korean Obstetrics and Gynecology
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    • v.22 no.3
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    • pp.117-134
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    • 2009
  • Purpose: In the theory of traditional medicine, Scutellariae Radix (SR) can clear away heat and remove dampness, purge the sthenic fire and remove toxic materials, cool blood and stop bleeding to prevent miscarriage. Recently, SR is known to have anti-cancer activity. For this reason, the present author designed to investigate the effect of SR on proliferation rates of cervical cancer cell line, then effects on genetic profile by SR. Methods: The genetic profile for the effect of SR on human derived cervical cancer cell line, SNU-703, was measured using microarray technique, and the functional analysis on these genes was conducted. Results: Total 519 genes were up-regulated and 606 genes down-regulated in cells treated with SR. Genes induced or suppressed by SR were all mainly concerned with metabolic process, regulation of biological process and protein binding. The network of total protein interactions was measured using cytoscape program, and some key molecules, such as TNFRSF1A, AKT1, MAPK3, and STAT3 that can be used for elucidation of therapeutical mechanism of medicine in future were identified. Conclusion: These results suggest possibility of SR as anti-cancer drug and also suggest that related mechanisms are involved in TNFRSF1A, AKT1, MAPK3, and STAT3 related signalling pathways.

Effects of Health Satisfaction and Family Relationship Satisfaction on the Depression of Low Income Middle-Aged Men - Focusing on the Mediating Effects of Social Acquaintance Satisfaction - (저소득 중장년 남성의 건강만족도 및 가족관계만족도가 우울에 미치는 영향 - 사회적 친분관계 만족도 매개 효과를 중심으로)

  • Park, Su-Sun
    • Journal of Convergence for Information Technology
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    • v.12 no.2
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    • pp.72-80
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    • 2022
  • In this study, we investigated the effects of health satisfaction and family relationship satisfaction on depression among low-income middle-aged men who are expected to have great economic difficulties. The mediating effect was analyzed to see what kind of change in the depressive state according to the social acquaintance satisfaction. Frequency analysis and regression analysis were performed using SPSS statistics program using data from the 15th Korea Welfare Panel for middle-aged adults aged 50 to 64 years. As a result of analyzing the mediating effect of social acquaintance satisfaction on depression, it showed a partial mediating effect on health satisfaction and a fully mediating effect on family relationship satisfaction. The result of this study is to clearly reveal the effect of service support for improving social acquaintance satisfaction for middle-aged men on mental health such as depression, in the future effective standards can be provided for validation of the validity of social network support services for middle-aged men.

A Study on the Strategies for Activating the Vegan Fashion Brand in the Meaning Out - Based on an Instagram Hashtag Analysis - (미닝아웃 시대의 비건 패션 브랜드 활성화 전략 연구 - 인스타그램 해시태그 분석을 중심으로 -)

  • Kyunghee Jung;Soojeong Bae
    • Journal of Fashion Business
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    • v.27 no.3
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    • pp.132-149
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    • 2023
  • This study aims to analyze Instagram hashtags based on big data to investigate changes in consumer trends and perceptions of vegan fashion, and to derive strategies for revitalizing vegan fashion brands based on derived results. Among social media, Instagram was selected as a collection channel, and Instagram hashtags for 'Vegan Fashion' were collected from July 1, 2021 to December 31, 2021. After conducting semantic network analysis with the Ucinet 6 program based on the collected data, the CONCOR analysis on vegan fashion showed the following four clusters: 'Veganism practiced with fashion', 'Bag type of vegan fashion brand', 'Sharing vegan fashion', and 'Diversification of eco-friendly products'. Analysis results showed that the Instagram hashtag for vegan fashion confirmed the MZ generation's increased interest in vegan fashion and their thoughts to recommend and share frequently used items or brand products to people around them. CONCOR analysis of vegan fashion brands showed the following four groups: 'Differentiating the material of vegan bags', 'Eco-friendly products of vegan fashion brands', 'Interest in vegan shoes', and 'Donation campaign of vegan fashion brands'. CONCOR analysis on Meaningout showed the following four clusters: 'MZ Generation's Meaningout Start-up', 'Recommendation Platform for Skin Products', 'Value Consumption Trend for Eco-friendly Clothing', and 'Interest in Eco-friendly Packaging'. The results of this study on vegan fashion, a practical eco-friendly movement that can require changes in social responsibility and perception as issues that directly affect animals, the environment, and humans, are expected to provide basic data to help domestic vegan fashion brands develop marketing strategies.

Social Isolation and Life Satisfaction among Low-income Older Adults: The Mediating Effect of Sense of Community (빈곤노인의 사회적 고립이 생활만족도에 미치는 영향: 지역사회인식의 매개효과)

  • Park, Mijin
    • 한국노년학
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    • v.30 no.3
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    • pp.895-910
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    • 2010
  • This study examined the mediating effect of social isolation on the life satisfaction among lowincome older adults. The purpose of this study was to find out isolated older adults' social isolation rate and mediating effect of sense of community by community dwelling older adults with loweconomic status. This study used the Gijang Welfare Network study(2009). The sample consisted 256 older adults 65 and older residing in Busan(Gijang). As statistical method, correlation analysis and structural equation model used in this paper. The results of this study suggested some practical implications in reducing social isolation for older adults with low economic status. We need to emphasize social relations and social participations as well as outreach program for high-risk elderly of social isolation. In addition, Findings suggested that community based interventions should be provided to protect older people, especially poor elderly from social isolation.

A method of assisting small intestine capsule endoscopic lesion examination using artificial neural network (인공신경망을 이용한 소장 캡슐 내시경 병변 검사 보조 방법)

  • Wang, Tae-su;Kim, Minyoung;Jang, Jongwook
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2022.10a
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    • pp.2-5
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    • 2022
  • Human organs in the body have a complex structure, and in particular, the small intestine is about 7m long, so endoscopy is not easy and the risk of endoscopy is high. Currently, the test is performed with a capsule endoscope, and the test time is very long. The doctor connects the removed storage device to the computer to store the patient's capsule endoscope image and reads it using a program, but the capsule endoscope test results in a long image length, which takes a lot of time to read. In addition, in the case of the small intestine, there are many curves due to villi, so the occlusion area or light and shade of the image are clearly visible during the examination, and there may be cases where lesions and abnormal signs are missed during the examination. In this paper, we provide a method of assisting small intestine capsule endoscopic lesion examination using artificial neural networks to shorten the doctor's image reading time and improve diagnostic reliability.

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Identification of Void Diameters for Cast-Resin Transformers (몰드변압기의 보이드 결함 크기 판별)

  • Jeong, Gi-woo;Kim, Wook-sung
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2022.10a
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    • pp.570-573
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    • 2022
  • This paper presents the identification of void diameters for a cast-resin transformer using an artificial neural network (ANN) model. A PD signal was measured by the Rogowski coil sensor which has the planar and thin structures fabricated on a printed circuit board (PCB), and the PD electrode system was fabricated to simulate a PD defect by a void. In addition, void samples with different diameters were fabricated by injecting air in a cylindrical aluminum frame using a syringe during the epoxy curing process. To identify the diameter of void defects, PD characteristics such as the discharge magnitude, pulse count, and phase angle were extracted and back propagation algorithm (BPA) was designed using virtual instrument (VI) based on the Labview program. From the experimental results, the BPA algorithm proposed in this paper has over 90% accurate rate to identify the diameter of void defects and is expected to use reference data of maintenance and replacement of insulation for cast-resin transformers in the on-site PD measurement.

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Study on the Application of Big Data Mining to Activate Physical Distribution Cooperation : Focusing AHP Technique (물류공동화 활성화를 위한 빅데이터 마이닝 적용 연구 : AHP 기법을 중심으로)

  • Young-Hyun Pak;Jae-Ho Lee;Kyeong-Woo Kim
    • Korea Trade Review
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    • v.46 no.5
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    • pp.65-81
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    • 2021
  • The technological development in the era of the 4th industrial revolution is changing the paradigm of various industries. Various technologies such as big data, cloud, artificial intelligence, virtual reality, and the Internet of Things are used, creating synergy effects with existing industries, creating radical development and value creation. Among them, the logistics sector has been greatly influenced by quantitative data from the past and has been continuously accumulating and managing data, so it is highly likely to be linked with big data analysis and has a high utilization effect. The modern advanced technology has developed together with the data mining technology to discover hidden patterns and new correlations in such big data, and through this, meaningful results are being derived. Therefore, data mining occupies an important part in big data analysis, and this study tried to analyze data mining techniques that can contribute to the logistics field and common logistics using these data mining technologies. Therefore, by using the AHP technique, it was attempted to derive priorities for each type of efficient data mining for logisticalization, and R program and R Studio were used as tools to analyze this. Criteria of AHP method set association analysis, cluster analysis, decision tree method, artificial neural network method, web mining, and opinion mining. For the alternatives, common transport and delivery, common logistics center, common logistics information system, and common logistics partnership were set as factors.