• Title/Summary/Keyword: Social Safety Network

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Korean Customer Attitudes Towards SNS Shopping

  • Cho, Young-Sang;Heo, Jeong-Yoon;Youn, Myoung-Kil
    • Journal of Distribution Science
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    • v.10 no.8
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    • pp.7-14
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    • 2012
  • As a new format of retailing, social shopping on SNS has rapidly grown in recent. Although there is much literature associated with customer behaviours in the academic world, little attention has been paid to identifying the shopping patterns of SNS shoppers. This paper will, thus, identify how perceived value has an impact on the buying intention of SNS shoppers, after illustrating what kind of factor influences the formation process of perceived value in the Korean marketplace. Given that SNS shoppers are for the most part 20s as well as 30s, the authors handed out questionnaires to them. Furthermore, based on literature review results, the conceptualised research model was developed. Despite lack of literature, the authors developed five constructs like price reduction, quantity- and time-limited message, product ranges, information-sharing, and required number of shoppers. The researchers made a considerable effort to identify the relationship between research concepts and each variable, based on a few research analysis methods such as frequency analysis, the Varimax rotation technique used orthogonal rotation, Cronbach's Alpha, PCA (Principle Component Analysis), and the like. Amongst the 5 variables used to measure the degree of influences on the perceived value as a social shopping characteristic, it has been evident that price cut, required minimum shoppers, product variety, and information-sharing have a positive impact on the perceived value formation processes of SNS customers. Also, this research implies that SNS retailers can differentiate themselves from other retailers by differently using the above factors. From a practitioner's point of view, these factors should be strategically used to increase the social shopping opportunities of SNS users. It is, furthermore, evident that the perceived value formed by the above 4 factors have played an important role in the buying decision process of SNS customers. In a sense, whether customers are aware of higher price cut rates, information-sharing, required minimum shoppers, and product variety has a positive impact on making buying decisions. From a retailer's point of view, online shopping mall operators are able to use blog as well as twitter to improve the buying intention as a marketing tool of social network, because the business activities provided by social shopping retailers, like the rapid, accurate responses to customer requirements, the provision of a variety of information, and the communications between customers are closely related to buying intentions. There are a few research limitations to conduct this empirical research. It was not easy to review prior papers, due to its lack. In spite of the increasing number of SNS shoppers in Korea, little research attention has been paid to this kind of research topic by academicians, because buying products or services through SNS is in its infancy. With regard to research populations, it would be difficult to generalise the research findings in Korea, owing to unbalanced respondent distribution. Considering the above research limitations as well as the growth of social shopping, many authors should pay considerable attention to SNS-related issues in the future, and develop the more sophisticated criteria to measure the characteristics of SNS shoppers.

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Personal Information Protection Recommendation System using Deep Learning in POI (POI 에서 딥러닝을 이용한 개인정보 보호 추천 시스템)

  • Peng, Sony;Park, Doo-Soon;Kim, Daeyoung;Yang, Yixuan;Lee, HyeJung;Siet, Sophort
    • Proceedings of the Korea Information Processing Society Conference
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    • 2022.11a
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    • pp.377-379
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    • 2022
  • POI refers to the point of Interest in Location-Based Social Networks (LBSNs). With the rapid development of mobile devices, GPS, and the Web (web2.0 and 3.0), LBSNs have attracted many users to share their information, physical location (real-time location), and interesting places. The tremendous demand of the user in LBSNs leads the recommendation systems (RSs) to become more widespread attention. Recommendation systems assist users in discovering interesting local attractions or facilities and help social network service (SNS) providers based on user locations. Therefore, it plays a vital role in LBSNs, namely POI recommendation system. In the machine learning model, most of the training data are stored in the centralized data storage, so information that belongs to the user will store in the centralized storage, and users may face privacy issues. Moreover, sharing the information may have safety concerns because of uploading or sharing their real-time location with others through social network media. According to the privacy concern issue, the paper proposes a recommendation model to prevent user privacy and eliminate traditional RS problems such as cold-start and data sparsity.

Strategies of Building Disaster Resistant Communities -Focusing on Hebei Spirit Oil Spill Accident- (재난에 강한 지역공동체 형성 전략 -허베이 스피리트호 기름유출사고를 중심으로-)

  • Yang, Gi-Geun
    • The Journal of the Korea Contents Association
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    • v.9 no.5
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    • pp.249-256
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    • 2009
  • The purpose of this study is to suggest the strategies of building disaster resistant communities to overcome communities destruction and vulnerability caused by the Hebei Spirit oil spill accident in Taean on December 7th, 2007. For accomplishing the purpose, we drew problems of approach based on context of community, governance strategy, and community-based approach. And based on the results of this analysis, suggestions were made as follows for building disaster resistant communities. First, when Hebei Spirit oil spill accident occurred we have been short of regional study and unreality of regional safety plan. For overcoming this points, we have need of activation of regional study and establishment of regional safety plan based on the bottom-up approach. Second, while the spill has brought a milestone activation of volunteer, we have not still efficient disaster management based on governance. So we have to establish network-governance to cooperate with government-business-private sector for efficient disaster management. Third, we argue that it is important to build social capital such as social networks, social contacts for community-based disaster resistant communities.

A Call for Community-Based Suicide Prevention in South Korea (한국의 자살예방을 위한 지역공동체 접근)

  • Sung-Pil, Yook;Jameson K. Hirsch
    • Korean Journal of Culture and Social Issue
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    • v.16 no.2
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    • pp.147-164
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    • 2010
  • In this paper, we reviewed the community-based approaches to suicide prevention and national strategies for the decrement of suicide rate, and made some suggestions to decrease the suicide rate in South Korea. Until now, efforts to understand and prevent suicide have been pursued singularly by specialized interest groups such as psychiatrists, psychologists, mental health practitioners, and private organizations with little interaction between them, resulting in narrow approaches toward suicide that existed in relative isolation to one another and that have been largely ineffective. To decline the suicide rate in South Korea, the people lived in Korea community ought to have enough knowledge related to suicide and have to cooperate with other people. Through these efforts, Korea community would have established social safety networks to improve the community 's mental health. The most important factor in suicide prevention and declining the suicide rate is reducing the stigma and increase the self-help seeking behaviors associated with suicide and mental health. Therefore, suicide is not an individual problem solved by suicidal patient, but a community's problem solved by community in recognizing, managing and preventing suicide.

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Assessment of Water Distribution and Irrigation Efficiency in Agricultural Reservoirs using SWMM Model (SWMM 모형을 이용한 농업용 저수지 용수분배 모의 및 관개효율 평가)

  • Shin, Ji-Hyeon;Nam, Won-Ho;Bang, Na-Kyoung;Kim, Han-Joong;An, Hyun-Uk;Do, Jong-Won;Lee, Kwang-Ya
    • Journal of The Korean Society of Agricultural Engineers
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    • v.62 no.3
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    • pp.1-13
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    • 2020
  • The management of agricultural water can be divided into management of agricultural infrastructure and operation to determine the timing and quantity of water supply. The target of water management is classified as water-supply facilities, such as reservoirs, irrigation water supply, sluice gate control, and farmland. In the case of agricultural drought, there is a need for water supply capacity in reservoirs and for drought assessment in paddy fields that receive water from reservoirs. Therefore, it is necessary to analyze the water supply amount from intake capacity to irrigation canal network. The analysis of the irrigation canal network should be considered for efficient operation and planning concerning optimized irrigation and water allocation. In this study, we applied a hydraulic analysis model for agricultural irrigation networks by adding the functions of irrigation canal network analysis using the SWMM (Storm Water Management Model) module and actual irrigation water supply log data from May to August during 2015-2019 years in Sinsong reservoir. The irrigation satisfaction of ponding depth in paddy fields was analyzed through the ratio of the number of days the target ponding depth was reached for each fields. This hydraulic model can assist with accurate irrigation scheduling based on its simulation results. The results of evaluating the irrigation efficiency of water supply can be used for efficient water distribution and management during the drought events.

Police Networks for Criminal Intelligence Functions: Based on Informal Social Network Analysis (경찰 범죄정보 수집 활동의 관계망 분석: 비공식적 사회연결망 분석을 중심으로)

  • Choi, Yeong Jin;Yang, Chang Hoon
    • The Journal of the Korea Contents Association
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    • v.20 no.1
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    • pp.448-459
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    • 2020
  • Recently, the necessities of gathering, producing, and sharing criminal information are critically important as intelligence functions of police agencies to improving public safety and national security. However, the inadequacies and barriers within which police agencies have in regard to intelligence functions impede criminal information gathering, intelligence producing within their agency, and intelligence sharing with other agencies. In this study, we analyzed informal networks constructed from a survey dataset of information and intelligence sharing among officers in police agencies. The results revealed the different structural properties of intelligence networks between police agencies. We did find that officers with high indegree and outdegree in a network played critical role on the dynamics and degree of intelligence gathering and assessment responsibilities. Finally, we could find evidence that the potential role of intermediary triggered relational dynamics for developing and sharing critical information among all police agencies.

The Association between Frequency of Social Contact and Frailty in Older People: Korean Frailty and Aging Cohort Study (KFACS)

  • Chon, Doukyoung;Lee, Yunhwan;Kim, Jinhee;Lee, Kyung-eun
    • Journal of Korean Medical Science
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    • v.33 no.51
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    • pp.332.1-332.8
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    • 2018
  • Background: The trend of aging society is occurring globally, and with it, one of the health problems that is emerging is frailty. Efforts are being made to account for the increasing prevalence of frailty, and various modifiable factors are being considered in regards to frailty. Because social contact has shown beneficial effects in terms of health in previous studies, it is increasingly being considered in relation to frailty. The purpose of this study was to assess the association of different types of social contact with frailty status. Methods: A total of 1,200 Korean elders aged 70-84 years old were included in the study. Using Fried's Cardiovascular Health Study index to categorize the frailty status, the relationship between frailty status and frequency of contact (i.e., with family members, friends, or neighbors) was analyzed using multinomial logistic regression accounting for confounders. Results: Adjusting for all covariates, frequency of contact with friends was the most statistically significant. Less frequent contact was associated with a significantly higher odds of pre-frailty: monthly (odds ratio [OR], 2.02; 95% confidence interval [CI], 1.27-3.20), and rarely (OR, 1.87; 95% CI, 1.17-2.99), with daily contact group as reference. Also, those contacting friends monthly (OR, 5.04; 95% CI, 2.29-11.08) or rarely (OR, 3.23; 95% CI, 1.58-6.61) were more likely to be frail compared to the daily group. Conclusion: Frequency of social contact, especially with friends, is strongly associated with frailty.

Design of ICT-based Agricultural Safety Monitoring System Models

  • Kim, Insoo;Lee, Kyung-Suk;Chae, Hye-Seon;Seo, Min-Tea
    • Journal of the Ergonomics Society of Korea
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    • v.35 no.4
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    • pp.193-204
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    • 2016
  • Objective: This study carried out base research to build an agricultural safety monitoring system through ICT convergence to reduce safety accidents and enhance welfare in life in the agricultural field. Background: The functions and values of rural villages as the space of living are recognized anew, but occupational accident rate due to farm work accidents is on the rise each year. Therefore, the seriousness of such a problem emerges. The convergence technology combining ICT is recently applied to industries overall, and therefore better services are offered. However, studies on ICT convergence has not yet been applied to the agricultural safety field. Method: This study identified ICT convergence service technology trends and representative serious accident types mainly occurring in agricultural activities. This study defined the major factors of farm work accidents and ICT to solve those accident factors including the sensor technology, wired/wireless communication technology and location information service, and applied them to prototype PCB for the development of an agricultural safety monitoring system. Results: This study proposed an emergency monitoring system for farmers and a harmful environment monitoring system. The ICT technology to prevent farm work accidents can be summarized as sensing technology, ICT and network technology and user interface technology. This study also designed PCB module configuration and situation judgment algorithm as basic research for proposed monitoring system development. Conclusion: The ICT-based agricultural safety monitoring research proposed in this study is expected to become the basis to build a future real time monitoring system, and also is expected to contribute to social safety and welfare service improvement for farmers. Application: The ICT convergence farmer accident prevention system will make contributions to the prevention of serious farm work accidents.

Classification of Objects using CNN-Based Vision and Lidar Fusion in Autonomous Vehicle Environment

  • G.komali ;A.Sri Nagesh
    • International Journal of Computer Science & Network Security
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    • v.23 no.11
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    • pp.67-72
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    • 2023
  • In the past decade, Autonomous Vehicle Systems (AVS) have advanced at an exponential rate, particularly due to improvements in artificial intelligence, which have had a significant impact on social as well as road safety and the future of transportation systems. The fusion of light detection and ranging (LiDAR) and camera data in real-time is known to be a crucial process in many applications, such as in autonomous driving, industrial automation and robotics. Especially in the case of autonomous vehicles, the efficient fusion of data from these two types of sensors is important to enabling the depth of objects as well as the classification of objects at short and long distances. This paper presents classification of objects using CNN based vision and Light Detection and Ranging (LIDAR) fusion in autonomous vehicles in the environment. This method is based on convolutional neural network (CNN) and image up sampling theory. By creating a point cloud of LIDAR data up sampling and converting into pixel-level depth information, depth information is connected with Red Green Blue data and fed into a deep CNN. The proposed method can obtain informative feature representation for object classification in autonomous vehicle environment using the integrated vision and LIDAR data. This method is adopted to guarantee both object classification accuracy and minimal loss. Experimental results show the effectiveness and efficiency of presented approach for objects classification.

Influence of Cushioning Variables in the Workplace and in the Family on the Probability of Suffering Stress

  • Gonzalo, David Cardenas
    • Safety and Health at Work
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    • v.7 no.3
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    • pp.175-184
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    • 2016
  • Stress at work and in the family is a very common issue in our society that generates many health-related problems. During recent years, numerous studies have sought to define the term stress, raising many contradictions that various authors have studied. Other authors have attempted to establish some criteria, in subjective and not very quantitative ways, in an attempt to reduce and even to eliminate stressors and their effects at work and in the family context. The purpose of this study was to quantify so-called cushioning variables, such as control, social support, home/work life conciliation, and even sports and leisure activities, with the purpose of, as much as possible, reducing the negative effects of stress, which seriously affects the health of workers. The study employs data from the Fifth European Working Conditions Survey, in which nearly 44,000 interviewees from 34 countries in the European Union participated. We constructed a probabilistic model based on a Bayesian network, using variables from both the workplace and the family, the aforementioned cushioning variables, as well as the variable stress. If action is taken on the above variables, then the probabilities of suffering high levels of stress may be reduced. Such action may improve the quality of life of people at work and in the family.