• Title/Summary/Keyword: network activity

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Implementation of Automatic Identification Monitoring System for Fishing Gears based on Wireless Communication Network and Establishment of Test Environment (무선통신망 기반 어구자동식별 모니터링 시스템 구현 및 시험환경 구축)

  • Joung, JooMyeong;Park, HyeJung;Kim, MinSeok;Kwak, Myoung-Shin;Seon, Hwi-Joon
    • Journal of IKEEE
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    • v.25 no.1
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    • pp.193-200
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    • 2021
  • In order to prevent illegal fishing and reduce lost fishing gear, it is necessary to develop a constant and continuous fishing gear monitoring system in the marine environment. In this paper, we design a long-term operational, reliable system model with communication coverage of more than 25Km considering the reality of gradually expanding fishing activity due to the depletion of fishery resources and marine environments. The design results are implemented to verify the operability of the system by separating the communication success rate of SKT and private LoRa networks and verifying the control function of each control system through the collected location information, respectively.

Characterization of Phenotypic Traits and Evaluation of Glucosinolate Contents in Radish Germplasms (Raphanus sativus L.)

  • Kim, Bichsaem;Hur, Onsook;Lee, Jae-Eun;Assefa, Awraris Derbie;Ko, Ho-Cheol;Chung, Yun-Jo;Rhee, Ju-hee;Hahn, Bum-Soo
    • Korean Journal of Plant Resources
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    • v.34 no.6
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    • pp.575-599
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    • 2021
  • The edible roots of radish (Raphanus sativus L.) are consumed worldwide. For characterization and evaluation of the agronomic traits and health-promoting chemicals in radish germplasms, new germplasm breeding materials need to be identified. The objectives of this study were to evaluate the phenotypic traits and glucosinolate contents of radish roots from 110 germplasms, by analyzing correlations between 10 quantitative phenotypic traits and the individual and total contents of five glucosinolates. Phenotypic characterization was performed based on descriptors from the UPOV and IBPGR, and glucosinolate contents were analyzed using liquid chromatography-tandem mass spectrometry in multiple reaction monitoring mode (MRM). Regarding the phenotypic traits, a significant correlation between leaf length and root weight was observed. Glucoraphasatin was the main glucosinolate, accounting for an average of 71% of the total glucosinolates in the germplasms; moreover, its content was significantly correlated with that of glucoerucin, its precursor. Principal component analysis indicated that the 110 germplasms could be divided into five groups based on their glucosinolate contents. High levels of free-radical scavenging activity (DPPH) were observed in red radishes. These results shed light on the beneficial traits that could be targeted by breeders, and could also promote diet diversification by demonstrating the health benefits of various germplasms.

Effect of Employment of Persons with Developmental Disabilities on Social Activities (발달장애인의 취업이 사회활동에 미치는 영향)

  • Chung, Jae-Kwun
    • The Journal of the Korea Contents Association
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    • v.21 no.11
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    • pp.711-722
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    • 2021
  • The purpose of this study is to explore the effects of employment for people with developmental disabilities on their social activities. As a research method, cross-analysis, correlation analysis, and logistic regression analysis were performed using questionnaire data on employment status and social activity for 391 persons with developmental disabilities. As a result of the analysis, first, employment for people with developmental disabilities was found to be significant in social activities. In other words, 79.7% of those with developmental disabilities who were employed participated in social activities, and 39.3% of those who were not employed. Second, employment for people with developmental disabilities, whose personal characteristics were carefully verified as a control variable, had a significant effect on social activities and increased by 5.2 times. According to the results of the study, it can be seen that active employment support for people with developmental disabilities and policy efforts for employment are required for participation in social activities of people with developmental disabilities. Finally it was suggested to supported employment, expand standard workplaces for the disabled, introduce a job coach system, and establish a network with related organizations.

The Effect of Social Capital of Wage Workers with Acquired Disabilities on Organizational Commitment: Focusing on the Comparison of Degree of Disability (중도장애인 임금근로자의 사회적 자본이 조직몰입에 미치는 영향: 장애정도 비교 중심으로)

  • Kim, Soung-Wan
    • The Journal of the Korea Contents Association
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    • v.21 no.12
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    • pp.546-558
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    • 2021
  • This study aims to analyze the effects of the social capital of wage workers with acquired disabilities on organizational commitment, depending on the degree of their disabilities. The survey included 187 people with severe acquired disabilities and 606 people with moderate acquired disabilities, who participated in the 8th (2015) panel survey of employment for the disabled. Multiple regression analysis was performed: the results identified that the official network activity increased for people with both severe and moderate acquired disabilities and contributed to the improvement of organizational commitment. Further, women had a significant influence on organizational commitment. In the case of people with severe acquired disabilities, it was also found that, as social participation increased, organizational commitment decreased. In the case of people with moderate acquired disabilities, individuals who were healthier, more regular workers, and had higher qualifications had a greater positive the impact on the organizational commitment. Based on the results of this study, ways to increase social capital and organizational commitment of wage earners with severe and moderate acquired disabilities are suggested.

An Analysis Method and Environment for Team Project-Based Learning in Non-Face-to-Face Situation for Student Evaluation (비대면 팀 프로젝트 기반 수업 평가를 위한 분석 방법 및 평가환경)

  • Lee, Jaiyun;Han, Seyoung;Choi, Changbeom
    • Journal of Engineering Education Research
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    • v.25 no.3
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    • pp.3-10
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    • 2022
  • An educator may utilize various pedagogies such as hands-on practice, practicum, and project-based learning to enhance a student's competency. Among various pedagogies, project-based learning is one of the well-known pedagogies that may provide similar on-the-job experience. In general, an educator may divide the students into small groups and assign tasks to check students' cooperation skills and achievements during project-based learning. However, an educator may experience difficulties operating project-based learning due to the COVID-19 pandemic. Most of the team activities are done in non-face-to-face meetings, and as a consequence, the educator may not find an underachieving team easily and cannot intervene appropriately. This study introduces a rigorous analysis method to evaluate team activities to analyze individual students' participation and contributions. First, this study develops evaluation rubrics by conducting questionnaires to professors and students to find an appropriate weight value for the evaluation scale. Then, this research introduces an analysis environment to evaluate students automatically. The analysis environment collects dialog data from social network services and measures interactions among students in a team. After measuring interactions, the environment generates a report to visualize the team activities. We applied the proposed method and environment to the capstone design course to show the effectiveness of the method and environment. Based on the case study, the environment showed that the analysis method could easily indicate the teams' activities and check the level of participation.

Identification and Validation of Novel Biomarkers and Potential Targeted Drugs in Cholangiocarcinoma: Bioinformatics, Virtual Screening, and Biological Evaluation

  • Wang, Jiena;Zhu, Weiwei;Tu, Junxue;Zheng, Yihui
    • Journal of Microbiology and Biotechnology
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    • v.32 no.10
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    • pp.1262-1274
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    • 2022
  • Cholangiocarcinoma (CCA) is a complex and refractor type of cancer with global prevalence. Several barriers remain in CCA diagnosis, treatment, and prognosis. Therefore, exploring more biomarkers and therapeutic drugs for CCA management is necessary. CCA gene expression data was downloaded from the TCGA and GEO databases. KEGG enrichment, GO analysis, and protein-protein interaction network were used for hub gene identification. miRNA were predicted using Targetscan and validated according to several GEO databases. The relative RNA and miRNA expression levels and prognostic information were obtained from the GEPIA. The candidate drug was screened using pharmacophore-based virtual screening and validated by molecular modeling and through several in vitro studies. 301 differentially expressed genes (DEGs) were screened out. Complement and coagulation cascades-related genes (including AHSG, F2, TTR, and KNG1), and cell cycle-related genes (including CDK1, CCNB1, and KIAA0101) were considered as the hub genes in CCA progression. AHSG, F2, TTR, and KNG1 were found to be significantly decreased and the eight predicted miRNA targeting AHSG, F2, and TTR were increased in CCA patients. CDK1, CCNB1, and KIAA0101 were found to be significantly abundant in CCA patients. In addition, Molport-003-703-800, which is a compound that is derived from pharmacophores-based virtual screening, could directly bind to CDK1 and exhibited anti-tumor activity in cholangiocarcinoma cells. AHSG, F2, TTR, and KNG1 could be novel biomarkers for CCA. Molport-003-703-800 targets CDK1 and work as potential cell cycle inhibitors, thereby having potential for consideration for new chemotherapeutics for CCA.

Patient Safety Culture Among Dental Hygienists and Perception of Infection Control Activities (치과위생사의 환자안전문화인식과 감염관리활동)

  • Jeong, Yong-Ju;Lee, Sun-Mi
    • Journal of The Korean Society of Integrative Medicine
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    • v.10 no.3
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    • pp.161-172
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    • 2022
  • Purpose : The study was to promote patient safety by analyzing the effect of dental hygienist's perception of patient safety culture on infection control activities. Methods : The study is based on a survey of 210 dental hygienists in total working in dental settings. To find out infection control activities according to patient safety culture awareness, there were 6 general characteristics, 3 teamwork within the department, 2 infection control systems, 4 surface management, 9 equipment washing, disinfection, and laundry management, 4 infectious wastes, and 3 personal protection phrases.The data was analyzed using the SPSS version 20.0, and p<.05 was adopted to decide on significance. Results : The longer dental hygienists have worked n the dental settings, the more active they become in infection control activities. Among the different types of dental care settings, general (university) hospitals had the largest number of infection control activities, followed by dental clinics, and network dental clinics, in descending order. The dental settings possessing a higher number of dental hygienists were found to conduct more infection control activities than other dental settings. In addition, it was found that when a dental setting adopts a patient safety policy across all the units in the hospital, more systems and procedures for patient safety tend to be established, and that stricter management response to error leads to improvement of infection control activities. Conclusion :In order to enhance infection control activities, infection control activity programs should develop and implement periodic reinforcement of infection control education. regular monitoring of infection control activities.

Optimization of Pose Estimation Model based on Genetic Algorithms for Anomaly Detection in Unmanned Stores (무인점포 이상행동 인식을 위한 유전 알고리즘 기반 자세 추정 모델 최적화)

  • Sang-Hyeop Lee;Jang-Sik Park
    • Journal of the Korean Society of Industry Convergence
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    • v.26 no.1
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    • pp.113-119
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    • 2023
  • In this paper, we propose an optimization of a pose estimation deep learning model for recognition of abnormal behavior in unmanned stores using radio frequencies. The radio frequency use millimeter wave in the 30 GHz to 300 GHz band. Due to the short wavelength and strong straightness, it is a frequency with less grayness and less interference due to radio absorption on the object. A millimeter wave radar is used to solve the problem of personal information infringement that may occur in conventional CCTV image-based pose estimation. Deep learning-based pose estimation models generally use convolution neural networks. The convolution neural network is a combination of convolution layers and pooling layers of different types, and there are many cases of convolution filter size, number, and convolution operations, and more cases of combining components. Therefore, it is difficult to find the structure and components of the optimal posture estimation model for input data. Compared with conventional millimeter wave-based posture estimation studies, it is possible to explore the structure and components of the optimal posture estimation model for input data using genetic algorithms, and the performance of optimizing the proposed posture estimation model is excellent. Data are collected for actual unmanned stores, and point cloud data and three-dimensional keypoint information of Kinect Azure are collected using millimeter wave radar for collapse and property damage occurring in unmanned stores. As a result of the experiment, it was confirmed that the error was moored compared to the conventional posture estimation model.

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.