• Title/Summary/Keyword: Social Support Module

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Design and development of in-wheel motor-based walking assistance system

  • Park, Hyeong-Sam;An, Duk-Keun;Kim, Dong-Cheol;Lee, Sang-Hyun
    • International Journal of Advanced Culture Technology
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    • v.10 no.3
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    • pp.371-376
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    • 2022
  • The purpose of this study is to develop a walking assistance system with mobility support and life support functions so that the elderly with reduced physical ability and patients who are uncomfortable when moving can move comfortably indoors and outdoors, and help social life. An obstacle recognition sensor module that can be applied indoors and outdoors is installed on a lightweight walking aid. The purpose of this study is to develop a walking assistance system with mobility support and life support functions so that the elderly with reduced physical ability and patients who are uncomfortable when moving can move comfortably indoors and outdoors, and help social life. An obstacle recognition sensor module that can be applied indoors and outdoors is installed on a lightweight walking aid. It is a system structure of an integrated actuator and brake system that can avoid obstacles in consideration of the safety of the elderly and is easy to install on the device. In this paper, the design of a lightweight walking aid was designed to increase the convenience of the socially disadvantaged and the elderly with reduced exercise ability. In addition, in order to overcome the disadvantage of being inconvenient to use indoors due to the noise and vibration of the motor during operation, an In-Wheel type motor is applied to develop and apply a low noise, low vibration and high efficiency drive system.

Effects of Spirituality Promoting Intervention on Spirituality, Social Support and Fighting Spirit among the Cancer Patients (영성 증진 중재가 암환자의 영성, 사회적 지지 및 투병정신에 미치는 효과)

  • Kim, Joo Hyong;Lee, Suk Jeong;Roh, Jae Kyung;Yoon, Jeong Soon;Lee, Won Hee
    • Korean Journal of Adult Nursing
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    • v.18 no.2
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    • pp.240-250
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    • 2006
  • Purpose: This study examined the effects of spirituality promoting intervention for the stomach and colon cancer patients. Method: A quasi- experimental design was used. Data collection was carried out from April 2004 to June, 2004 at a cancer center in Korea. The intervention included pray, meditation, group education and discussion for coping with cancer. The experimental group were received a 1-hour intervention per week for 6 weeks, while the control group received usual care. Data collection was done at pre and post intervention. The degree of spirituality was measured by the Korean version of WHOQOL-SRPB pilot test(WHO Quality of Life-Spirituality, Religiousness and Personal Beliefs pilot test) Module, and social support was measured using scores on a PRQ 85(Personal Resources Questionnaire). Fighting spirit was measured by the scores of MAC(Mental Adjustment to Cancer) scale. Results: The experimental group showed significant increase in the scores of social support and fighting spirit compared to those in the control group after the intervention. There were no significant changes in terms of the spirituality score compared to the baseline score in the experimental group and the control group. Conclusion: This intervention appeared to be effective in increasing social support and fighting spirit, which considered to be very helpful in cancer adjustment.

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Fundamental Research for Video-Integrated Collision Prediction and Fall Detection System to Support Navigation Safety of Vessels

  • Kim, Bae-Sung;Woo, Yun-Tae;Yu, Yung-Ho;Hwang, Hun-Gyu
    • Journal of Ocean Engineering and Technology
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    • v.35 no.1
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    • pp.91-97
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    • 2021
  • Marine accidents caused by ships have brought about economic and social losses as well as human casualties. Most of these accidents are caused by small and medium-sized ships and are due to their poor conditions and insufficient equipment compared with larger vessels. Measures are quickly needed to improve the conditions. This paper discusses a video-integrated collision prediction and fall detection system to support the safe navigation of small- and medium-sized ships. The system predicts the collision of ships and detects falls by crew members using the CCTV, displays the analyzed integrated information using automatic identification system (AIS) messages, and provides alerts for the risks identified. The design consists of an object recognition algorithm, interface module, integrated display module, collision prediction and fall detection module, and an alarm management module. For the basic research, we implemented a deep learning algorithm to recognize the ship and crew from images, and an interface module to manage messages from AIS. To verify the implemented algorithm, we conducted tests using 120 images. Object recognition performance is calculated as mAP by comparing the pre-defined object with the object recognized through the algorithms. As results, the object recognition performance of the ship and the crew were approximately 50.44 mAP and 46.76 mAP each. The interface module showed that messages from the installed AIS were accurately converted according to the international standard. Therefore, we implemented an object recognition algorithm and interface module in the designed collision prediction and fall detection system and validated their usability with testing.

Developing the Core Modules of for Viz-Platform for Supporting Public Service in the City (도시의 공공서비스 제공을 위한 시각화 플랫폼의 핵심모듈 개발)

  • Kim, Mi-Yun
    • Journal of Korea Multimedia Society
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    • v.18 no.9
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    • pp.1131-1139
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    • 2015
  • The purpose of this research is creating the visualization platform of the user interface to make able to be provide the demanded service while users communication with surrounding space in a smart city environment. This comes from the latest enhanced interface technology and social media, and it uses the shares information to support the proper interface environment according to a life style and spatial properties. "EzCity" which is the user interface platform suggested in this research, can control the enormous amount of public data for the smart city. The core module of user platform is made up with Public data module, Interface module, Visualization module and Service module. The role of this platform is to be provide "Geo-Intelligent Interface Service" for space users to access the data in easier and more practical interface environment. This reinforces the visualization process for data collecting, systematization, visualization and providing service. Also this will be expected to be the base to solve the problem which complexity and rapidly increasing amount of data.

A Study on Model for Social Return for the Prevention of Recidivism of Sexual Violence Criminals Based on Big Data (빅데이터 기반 성폭력범죄자 재범방지를 위한 사회지원모델에 관한 연구)

  • Oh, Sei Youen
    • Journal of the Society of Disaster Information
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    • v.17 no.3
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    • pp.535-542
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    • 2021
  • Purpose: The purpose of this study is to prevent recidivism by recognizing the seriousness of recidivism against sexual offenders under the age of 13 and providing customized social adaptation services based on risk. Method: The study evaluate the efficiency of existing models and proposed model systems, and compare and review what features and operational differences exist from existing models. Result: The proposed model will collect data from related agencies on sexual violence offenders with a high risk of recidivism and classify them into three risk groups through risk algorithms to provide social adaptation services for each risk group. In addition, by monitoring primary social support matching data, storing and re-analyzing the results data to rematch social support services, the model differs from the existing model in preventing recidivism of sexual violence offenders from a long-term perspective. Conclusion: The proposed model of this study is meaningful in that it proposed the basic data of a response system to prevent recidivism from a long-term perspective of sexual offenders with the highest risk of recidivism by collecting and analyzing data on sexual offenders.

Collaboration Framework based on Social Semantic Web for Cloud Systems (클라우드 시스템에서 소셜 시멘틱 웹 기반 협력 프레임 워크)

  • Mateo, Romeo Mark A.;Yang, Hyun-Ho;Lee, Jae-Wan
    • Journal of Internet Computing and Services
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    • v.13 no.1
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    • pp.65-74
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    • 2012
  • Cloud services are used for improving business. Moreover, customer relationship management(CRM) approaches use social networking as tools to enhance services to customers. However, most cloud systems do not support the semantic structures, and because of this, vital information from social network sites is still hard to process and use for business strategy. This paper proposes a collaboration framework based on social semantic web for cloud system. The proposed framework consists of components to support social semantic web to provide an efficient collaboration system for cloud consumers and service providers. The knowledge acquisition module extracts rules from data gathered by social agents and these rules are used for collaboration and business strategy. This paper showed the implementations of processing of social network site data in the proposed semantic model and pattern extraction which was used for the virtual grouping of cloud service providers for efficient collaboration.

Model Predicting Irritable Bowel Syndrome Severity in University Students (대학생의 과민대장증후군 중증도 예측모형)

  • Park, Bin-Hee;Lee, Kyung-Sook
    • Journal of Korean Biological Nursing Science
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    • v.22 no.2
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    • pp.90-101
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    • 2020
  • Purpose: The purpose of this study was to build and verify a structural model that could predict the severity of irritable bowel syndrome in university students. Methods: Participants were 205 students enrolled in college with irritable bowel syndrome using the irritable bowel syndrome module of the ROME IV Adult Questionnaire. The data were collected using online questionnaires in AprilMay 2019. The data were analyzed using the SPSS WIN 25.0 and AMOS 20.0 programs. Results: 1) The symptom severity that participants experienced were mild (14.6%), moderate (45.4%), and severe (40%). 2) Fit indices of the model were x2= 79.66 (df = 52, p= .009), CFI= .94, TLI= .96, RMSEA= .05, RMR= 1.59, GFI= .94, and TLI= .96.3). The severity of irritable bowel syndrome was influenced directly by anxiety and sleep, and indirectly by family history, perfectionism, social support, coping, and stress. The severity of irritable bowel syndrome was indirectly affected by the following: family history through anxiety; perfectionism through stress, anxiety, and sleep; social support through coping, stress, anxiety, and sleep; coping through stress and anxiety; and stress through anxiety and sleep. Conclusion: Based on the results of this study, a nursing intervention is needed to reduce the anxiety and stress and improve the quality of sleep to improve the health of the college students and manage the symptoms of patients with irritable bowel syndrome.

An Important Strategy to Improve Adolescent Health Literacy: COVID-19 Modules in High School in Indonesia

  • Nurina Hasanatuludhhiyah;Visuddho Visuddho;Abdul Khairul Rizki Purba;Annette d' Arqom;Ancah Caesarina Novi Marchianti
    • Journal of Preventive Medicine and Public Health
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    • v.56 no.6
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    • pp.523-532
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    • 2023
  • Objectives: During the second coronavirus disease 2019 (COVID-19) surge, cases increased sharply due to low awareness and compliance with measures to limit disease spread. Health literacy (HL) is an important component of public health initiatives, and schools are potential sources of health education to increase HL via the presentation of COVID-19 educational modules. Methods: This cross-sectional study involved an online questionnaire administered to students from 5 high schools in Surabaya and Sidoarjo, Indonesia, 6-7 weeks after the start of government-issued directives restricting public gatherings. We collected data on each respondent's age, gender, parental education, and socioeconomic variables. HL was determined by the Health Literacy Measure for Adolescents. We additionally measured their attitudes and behaviors related to preventing the spread of COVID-19. The students were asked if they watched the COVID-19 module at school, their feelings about vaccination, and preferred online sources of COVID-19-related information. Results: Most of the 432 respondents had viewed COVID-19 modules at school. Module exposure was associated with significantly higher total and domain-specific HL and more positive attitudes toward government-issued COVID-19 restrictions on travel and public gatherings (p<0.05). However, behaviors to prevent COVID-19 spread and vaccine acceptance were not associated with module exposure. Most students chose social media as their source of COVID-19-related information. Conclusions: Schools can provide information to increase adolescents' HL and the public's support for health initiatives to prevent or limit the spread of COVID-19.

The Effectiveness of School Based Short-Term Social Skills Training in Children with Attention-Deficit/Hyperactivity Disorder(ADHD) (ADHD 초등학생을 위한 학교 중심 사회성기술 훈련 프로그램의 효과에 대한 연구)

  • Paek, Myung-Jae;Ahn, Jung-Kwang;Lim, So-Yun;Kim, Yang-Ryul;Park, Min-Hyeon;Kim, Boong-Nyun;Cho, Soo-Churl;Shin, Min-Sup;Kim, Jae-Won;Kim, Hyo-Won
    • Journal of the Korean Academy of Child and Adolescent Psychiatry
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    • v.20 no.2
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    • pp.82-89
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    • 2009
  • Objectives: Children with attention-deficit hyperactivity disorder(ADHD) often have difficulties in social behavior. The aim of this study was to evaluate the effectiveness of a short-term training program for improving social skills, self-perception and attention deficits. Methods: The subjects were nine children diagnosed with ADHD with(or without) other mental disorders using the Diagnostic Interview Schedule for Children(DISC-ADHD) module. Children were given eight sessions of a social skills training program. Parents of children simultaneously participated in their own training which was designed to support their children's generalization of skills. Assessments included child, parent and teacher ratings of social skills, self-perception and attention deficit at baseline and post-treatment. Results: Social skills training led to significant improvements in child-reported measures of self-esteem, in teacher reported measures of social skills, and in parent-reported measures of attention deficit. Conclusion: This study suggests that short-term social skills training programs for children with ADHD may improve their social skills, self-perception and attention deficits.

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ICT-based Living in the Contact Type Service Model for Self-life Support of the Elderly Living Alone (독거노인 자가생활지원을 위한 ICT기반의 생활밀착형 서비스 모델 개발)

  • Kim, Mi-Yun;Seo, Dong-Jo;Byun, Jong-Bong;Kang, Jong-Kwan
    • Journal of Digital Convergence
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    • v.13 no.4
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    • pp.25-38
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    • 2015
  • In case of current South Korea, the rapid graying is in the progress. Because of it, the increase of elders who live alone causes variety of social, economic and national problems. Especially in the modern city, the health care, safety and maintenance of pleasant and joyful life of elders who live alone are being a big social issue. Even though practical services have been tried at the whole of government approach, the detailed alternatives are insufficient to improve the daily life support and service to approach the information. This research suggests the "ELA Service Model" which actively improves the easy access to information and corresponds to condition and circumstance of elders for providing the ICT-base Elderly Living alone care service. It is a step self-life support service based on fundamental desire of elders which resolves the problem and contributes to establish the active and balanced policy to the elderly.