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A Study on Pet-monitoring Robot Design (애완견 모니터링 로봇 디자인 연구)

  • Chung, Yong-Jin
    • The Journal of the Korea Contents Association
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    • v.17 no.8
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    • pp.463-471
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    • 2017
  • Recently, the number of pet-owning households drastically increased and many people took their pets as lifelong companion animals and look after them like their children. Pet business has continued to increase gradually and the need for pet supplies has increased, too. Though there are a variety of pet supplies in pet dog market which takes up many parts in the pet market, there is no design guideline on pet supplies. Thus, there are many wrong pet supplies design created by wrong idea of people. Therefore, this study aims to suggest the guideline on pet supplies design focusing on the pet-monitoring system among the various pet products. So, the pet-monitoring robot was designed to monitor pet simply using smartphone anywhere on the trip and feed by using bowl that control the signal. This study figured out types and function of existing IP camera, reflected the behavior and physical characteristics of pets and suggested the design guideline which is minimum required as pet-monitoring products. Also, trial product for which design guide was applied was produced to observe the pet behavior and identify problems while operating trial product. However, there was limit in securing data and study period to examine the satisfaction of various pets since the subject of this study was dog and it's required to conduct follow-up study by observing continuously and improving the problems in future to secure more data.

An Empirical Study on the Adoption of Technology Acceptance Model in The Port Logistics Service (항만 물류서비스의 기술수용모델(TAM) 적용에 관한 실증적 연구)

  • Lee, Je-Hong
    • Journal of Korea Port Economic Association
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    • v.27 no.4
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    • pp.13-35
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    • 2011
  • The advancement of the information technology provides a wide range of corporate to cope with new business environments that are different in size, life and operation conditions. The Research methodology used in this study is Technology Acceptance Model. The Study Method are mainly survey and questionnaire. The major result of article can be summarized. Its are as the follows: This paper ware investigated the determinants of 'port service quality', 'perceived usefulness', 'perceived ease of use', 'utilization intention', 'practice use'. There are 400 sended samples and 150 returns, 173 of them are analyzed on a port utilization using TAM model. 1. The Port service quality are found to have a positive effect to 'perceived usefulness', 'perceived ease of use', 'utilization intention' 2. The perceived ease of use are found to have a positive effect to 'perceived usefulness', 'utilization intention' 3. The perceived usefulness is found to be positively related to 'utilization intention' 4. The utilization intention is found to have a positive effect to ''practice use' we hove to provide useful contribution to increase the Korea ports' competitiveness in introduction of port information system. In addition, in order to port development offer some insight in further research.

Development of Facility Management System for Indoor Space Based on ICBM Technology (ICBM기반 실내 공간 유지관리 시스템 개발)

  • Jung, Yoo-Seok;Kang, Tae-Wook
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.20 no.3
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    • pp.49-55
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    • 2019
  • An open office or a shared office is emerging as the emphasis on the collaborative and communicative work environments is increasing. In the past, the user maintained the space, but the maintenance of indoor space became difficult because there is no fixed user. Indoor space information can be collected using the ICBM framework system. The facility management can achieve this with data. Therefore, this study proposed a framework based on ICBM (Internet of Things, Cloud, Big Data, and Mobile) for verifying the possibility of a smart facility management system for indoor space. IoT (Internet of Things) technology was used to measure the indoor temperature, humidity, occupancy, and brightness continuously, and provided the data to Web API via WiFi. Data acquired automatically via IoT, existing maintenance data, and spatial information were integrated through the Cloud. Big data collected by sensors were processed as meaningful spatial information for maintenance. Indoor space information and maintenance information can be delivered to the manager through the mobile. Based on the collected data, room occupancy recognition is limited due to a range of ultrasonic wave sensors. On the other hand, brightness represents the space conditions. The difference between lighting on/off, weekday and weekend can be shown. The temperature data and the relative humidity data were collected steadily to evaluate the comfort.

Understanding Sexual Identity-related Concerns through the Analysis of Questions on a Social Q&A Site (소셜 Q&A 사이트의 질문 분석을 통한 청소년의 성 정체성(sexual identity) 고민에 대한 이해)

  • Zhu, Yongjun;Nam, Seojin;Yi, Dajeong;Yi, Yong Jeong
    • Journal of Korean Library and Information Science Society
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    • v.51 no.4
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    • pp.101-119
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    • 2020
  • The study aims to understand major topics and concerns of gender identity-related questions expressed by the users of the NAVER social Q&A site. To achieve this goal, we analyzed 2,120 questions created from 2010 to 2018 using natural language- and information retrieval-based methods. Results indicated that the major topics discussed by the users include interpersonal relationships, doubts about gender identity, sexual orientation, feelings and relationships, and concerns about gender identity. In addition, users mainly expressed concerns regarding general issues of gender identity; sexual orientation; negative cognition about gender identity; confession, coming-out, homosexuality; future, heterosexual relationships, military enlistment; and causes of gender identity confusion. The present study effectively derives information needs from real-world concerns about sexual identity by employing topic modeling techniques, and by comparing the advantages of exact match and tf-idf-based information retrieval methods extends methodology of Library and Information Science. Further, it has contributed to the academic maturity of the study of information behavior by observing the information needs or information-seeking behaviors of online community users with specific interests.

A Study on Consumer Characteristics According to Social Media Use Clusters When Purchasing Agri-food Online (온라인 농식품 구매시 소셜미디어 이용 군집에 따른 소비자특성에 대한 연구)

  • Lee, Myoung-Kwan;Park, Sang-Hyeok;Kim, Yeon-Jong
    • Asia-Pacific Journal of Business Venturing and Entrepreneurship
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    • v.16 no.4
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    • pp.195-209
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    • 2021
  • According to the 2019-2020 social media usage survey conducted by the Seoul e-commerce center, 5 out of 10 consumers have experienced shopping through social media. The cost of traditional advertising media has been reduced and advertising spending on social media has risen by 74%, indicating that social media is becoming a more important marketing element. While the number of users of social media has increased and corporate marketing activities have increased accordingly, research has been conducted in various aspects of marketing such as user motivation for social media, satisfaction, and purchase intention. There was no subdivided study on the differences in the social media usage frequency of consumers in actual purchasing behavior. This study attempted to identify differences in consumer characteristics by cluster in the agrifood purchase situation by grouping them by type according to the frequency of use of social media for consumers who purchase agri-food online. Product involvement, product need, and online purchase channel Consumer characteristics such as demographic distribution, perceived risk, and eating and lifestyle in each cluster were checked for the three agrifood purchase situations including choice, and types for each cluster were presented. To this end, questionnaire data on the frequency of social media use and online agrifood purchase behavior were collected from 245 consumers, and the validity of the measurement variables was secured through factor analysis and reliability analysis. As a result of cluster analysis according to the frequency of social media use, it was divided into three clusters. The first cluster was a group that mainly used open social media, and the second cluster was a group that used both open and closed social media and online shopping malls; The third cluster was a group with low online media usage overall, and the characteristics of each cluster appeared. Through regression analysis, the effect on product involvement, product need, and purchase channel selection when purchasing agri-food online through each of the three clusters was confirmed through regression analysis. As a result of the regression analysis, the characteristic of cluster 1 in the situation of purchasing agri-food online is a male in his 30s living in a rural area who has no reluctance to purchase agri-food on social media or online shopping malls. The characteristics of cluster 2 are mainly consumers who are interested in purchasing health food, and the consumer characteristics are represented. In the case of cluster 3, when purchasing products online, they purchase after considering quality and price a lot, and the consumer characteristics are represented as people who are more confident in purchasing offline than online. Through this study, it is judged that by identifying the differences in consumer characteristics that appear in the agri-food purchase situation according to the frequency of social media use, it can be helpful in strategic judgments in marketing practice on social media customer targeting and customer segmentation.