• 한국IT서비스학회지
• /
• 제14권2호
• /
• pp.143-158
• /
• 2015

Companies and governments in an era of big data have been tried to create new values with their data resources. Among many data resources, many companies especially pay attention to data which is obtained from Social Network Service (SNS) because it reveals precise opinion of customers and can be used to estimate profiles of them from their social relationships. However, it is not only hard to collect, store, and analyze the data, but system applications are also insufficient. Therefore, this study proposes a S-POS (Social POS) system which consists of three parts; Twitter Side, POS Side and TPAS (Twitter&POS Analysis System). In this system, SNS data and POS data which are collected from Twitter Side and POS Side are stored in Mongo D/B. And it provides several services with POS terminal based on analysis and matching results which are generated from TPAS. Through S-POS system, we expect to efficient and effective store and sales managements of system users. Moreover, they can provide some differentiated services such as cross-selling and personalized recommendation services.

• 한국전자통신학회논문지
• /
• 제9권10호
• /
• pp.1153-1159
• /
• 2014

본 논문은 항만 개발에서 일부분의 주민참여가 아닌 대부분의 주민들이 참여가 가능한 ICT(Information Communication Technology)과 소셜 네트워크 기술을 적용하여 동해시의 묵호항 재개발 사업 친수 시설 규모 산정방안에 대한 새로운 방법을 제시한다. 이를 위해 항만 재개발 과정에서 효과적인 주민참여를 위한 방법으로 기존의 단순한 설문조사 방식과 더불어 다양한 SNS(Social Network System)을 적용하여 주민들의 의견 최대화한 도시 마케팅 방안을 분석한다. 또한 이를 위해서 주민 참여에 대한 비율을 최적 선정을 수행하고 최적 건설비 산정과 도시 마케팅 방안을 제시한다.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• 제9권1호
• /
• pp.421-433
• /
• 2015

Recently, there have been fast-growing social network services based on the Internet environment and web technology development, the prevalence of smartphones, etc. Social networks also allow the users to convey the information and news so that they have a great influence on the public opinion formed by social interaction among users as well as the spread of information. On the other hand, these social networks also serve as perfect environments for rampant malware. Malware is rapidly being spread because relationships are formed on trust among the users. In this paper, an effective patch strategy is proposed to deal with malicious worms based on social networks. A graph is formed to analyze the structure of a social network, and subgroups are formed in the graph for the distributed patch strategy. The weighted directions and activities between the nodes are taken into account to select reliable key nodes from the generated subgroups, and the Incremental PageRanking algorithm reflecting dynamic social network features (addition/deletion of users and links) is used for deriving the high influential key nodes. With the patch based on the derived key nodes, the proposed method can prevent worms from spreading over social networks.

• Journal of Contemporary Eastern Asia
• /
• 제17권2호
• /
• pp.147-175
• /
• 2018

Under authoritarian regimes, citizen-led NGOs such as environmental NGOs (ENGOs) often operate under close scrutiny of the government. While this presents a challenge to a single ENGO, we propose here - in line with existing research on network effects - that there are opportunities for multiple ENGOs to coordinate and thus work in ways that supersede government controls, affect public opinion, and contribute to policy revision and/or creation. In this paper, we specifically examine the possibility that the gamut of citizen-based ENGOs in China are coordinating. Based on network analysis of ENGOs web pages as well as interviews with more than a dozen ENGO leaders between 2014 and 2016, we find that ENGOs have few direct and public connections to each other, but social media sites and personal connections offline provide a crucial function in creating bridges. A closer examination of these bridges reveals, however, that they can be substantive to the environmental discussion or functional to the dissemination of web page information but typically not both. In short, ENGOs in China are not directly connected but rather are connected in a way that responds to the available social media and the government's censorship practices.

• 한국환경과학회지
• /
• 제27권5호
• /
• pp.281-289
• /
• 2018

The Korean environmental impact assessment(EIA) system, and explored ways to improve it as a more efficient and viable institution relevant to the demand of our time and conditions in study. The first problem this study identified is found in the fact that the party to write up the assessment report is itself the business operator or the one who is planning to work out the business plan. This structure translates into placing an order with an agent for EIA report. The reporting job may br subcontracted to the agent at a cost far below the rate specified in the 'Standard for Estimate of Agency Fee for Environmental Impact Assessment.' This practice also causes the vicious circle of producing a report that is written to justify the project or business in question or it leads to rough-and ready and poor documentation to minimize the time required. Second, in order to achieve the goal of the plan or business, which is the target of EIA, the local residents tend to ve regarded as an obstacle. This means elimination of the local people from participating in the EIA or their opinion being frequently ignored. This is the seed of distrust and hostility that sometimes provoke disagreements or fierce conflicts. The first proposal to improve these problem is to improve the factors that cause poor documentation of the assessment report as well as improve the understanding of the EIA system. This study proposes the following measures for improvement. The agency cost for EIA should be paid by the business operator or a third party that can ensure faithful implementation of the payment. A system should be established to verify transparent estimation of the agency cost. In order to enhance the professional quality of EIA agents, there should be implementation of qualification test for industrial engineer of related engineers in addition to the current EIA Qualification Test. The second proposal for improvement is to improve the citizen participation process by instituting a legal framework to make clear the purpose of the briefing session for local residents, which is held as a procedure of EIA, and to ensure more positive publicity during the stage of listening to the opinion of the local community. For a smooth and rational communication process, a moderator and a communicator of opinion, as is the case in a public hearing, could be instituted to clearly get the purpose of the briefing session across to the residents and to help to carry out the explanation and Q & A sessions according to the categories of the opinion of the residents. At present, the notification of the public inspection of the draft of the assessment report and briefing session for the residents is made on the newspaper and internet network. But some people have difficulty with access to this method of announcement. A higher participation rate could be secured if a legal provision is added to specify putting up placards in specific places such as the entrance to the place for the briefing session for residents or the building of administrative agencies of the area concerned.

• International Journal of Advanced Culture Technology
• /
• 제11권4호
• /
• pp.223-232
• /
• 2023

The purpose of this study is to determine the impact of social network sports community consciousness on loyalty and sports attitude. In order to achieve this research purpose, the population of the study was selected as adult men and women over the age of 20 who are active in the social network sports community in 2022. The sampling method used cluster random sampling to select a total of 300 people, 150 men and 150 women, as research subjects. The survey tool used was the questionnaire method, and the questionnaire whose reliability and validity had been verified in previous studies at home and abroad was used by requoting, modifying, or supplementing it to suit the purpose of this study. It was also structured on a 5-point scale. Frequency analysis, factor analysis, reliability analysis, simple regression analysis, and multiple regression analysis were performed on the collected data using the statistical program SPSS Windows 20.0 Version. The results obtained through this process are as follows. First, social network sports community consciousness was found to have a partial effect on loyalty. Second, social network sports community consciousness was found to have a partial effect on sports attitudes. Third, social network sports community loyalty was found to have a partial effect on sports attitudes. Considering these results, various activities such as decision-making process, relationship formation, and opinion expression of modern people are carried out by the O-line community. In addition, while in the past it was a format that led from offline activities to online activities, currently, there are more and more formats that lead from online activities to offline activities. Therefore, modern people's SNS sports community activities provide many experiences, which creates a sense of community and sports attitudes are formed based on this. This can be said to lead to loyal activities.

• 해양환경안전학회지
• /
• 제26권7호
• /
• pp.759-766
• /
• 2020

최근 해상교통 환경의 변화가 다양해지고, 해상 교통량이 지속적으로 증가함에 따라 해상교통 분석에 대한 요구가 다양해지고 있다. 이러한 해상교통 분석 작업은 교통 특성에 대한 모델링이 선행되어야 하지만, 기존의 방법은 자동화되어 있지 않아 전처리 작업에 시간이 많이 소요되고, 분석 결과에 작업자의 주관적인 견해가 포함될 수 있는 문제점이 있었다. 이러한 문제점을 해결하고자 본 논문에서는 해상교통 분석을 위한 자동화된 교통 네트워크 생성 방법을 제안하였으며, 활용 가능성을 검토하기 위해 실제 목포항에서 수집된 6개월간의 항적 데이터를 이용한 실험을 수행하였다. 실험 결과, 대상 해역의 교통 특성을 반영한 교통 네트워크를 자동으로 생성할 수 있었으며, 대용량의 항적 데이터에도 적용할 수 있음을 확인하였다. 또한, 생성된 교통 네트워크는 시공간적 특징 분석이 가능하여 다양한 해상교통 분석에 활용될 수 있을 것으로 기대한다.

• 실천공학교육논문지
• /
• 제15권1호
• /
• pp.97-105
• /
• 2023

최근 인공지능 기술의 발달에 따라 사용자의 편의성을 위한 기술이 많이 개발되고 있다. 그중 자율주행차에 대한 관심이 나날이 증가하고 있다. 현재 많은 자동차 기업에서 자율주행차 상용화를 목표로 하고 있다. 상용화를 뒷받침할 정부의 새롭고 합리적인 정책 수립의 기반을 조성하기 위하여 뉴스 기사 데이터를 통해 여론의 변화와 인식을 분석하고자 하였다. 따라서 본 논문에서는 최근 3년간 자율주행차와 유사한 용어가 언급된 뉴스 기사 데이터 35,891건을 수집하고, 네트워크 분석하였다. 분석결과, '자율주행', 'AI', '미래', '현대자동차', '자율주행차', '자동차', '산업', '전기차' 등의 주요 키워드가 도출되었다. 또한, 자율주행차 산업은 자동차 기업뿐만 아니라, 반도체 기업, 빅테크 기업 등 다양한 산업과 융합되며 더욱 빠르고 다양한 플랫폼과 서비스 산업으로 발전하고 있으며, 산업의 융복합에 주목하고 있는 것으로 나타났다. 여론의 변화와 인식을 지속적으로 확인하기 위해 SNS 데이터나 기술 트렌드의 지속적인 분석을 통한 인식 분석이 필요할 것으로 판단된다.

• 유통과학연구
• /
• 제18권9호
• /
• pp.31-43
• /
• 2020

Purpose: This study examined a comprehensive model for assessing the success probability of electric vehicle (EV) commercialization in the Korean market. The study identified three risks associated with successful commercialization which were technology, social, policy, environmental, and consumer risk. Research design, methodology: The assessment of the riskiness was represented by a Bayes belief network, where the probability of success at each stage is conditioned on the outcome of the preceding stage. Probability of success in each stage is either dependent on input (i.e., investment) or external factors (i.e., air quality). Initial input stages were defined as the levels of investment in product R&D, battery technology, production facilities and battery charging facilities. Results: Reasonable levels of investment were obtained by expert opinion from industry experts. Also, a survey was carried out with 78 experts consisting of automaker engineers, managers working at EV parts manufacturers, and automobile industry researchers in government think tanks to obtain the conditional probability distributions. Conclusion: The output of the model was the likelihood of success - expressed as the probability of market acceptance - that depended on the various input values. A model is a useful tool for understanding the EV industry as a whole and explaining the likely ramifications of different investment levels.

• 디지털융복합연구
• /
• 제12권12호
• /
• pp.249-255
• /
• 2014

최근 트위터, 페이스북 등과 같은 소셜 네트워크 서비스(Social Network Service, SNS)의 확산과 더불어 정보의 생성 및 공유가 활발히 이루어지고 있다. 이러한 SNS 매체들을 통해 생산하는 많은 데이터를 활용하기 위해 축적된 데이터로부터 의미 있는 정보를 추출해 내는 기술의 필요성이 대두되고 있으며, 데이터 마이닝 기법을 이용하여 의미있는 지식을 찾아낸다. 특히, 다양한 형태의 방대한 자료들로부터 표출되는 의견, 정책, 성향, 감정 등 대중의 집단지성에 나타난 일반적인 감정분석이 활용되고 있다. 본 논문에서는 대중들이 SNS를 통해 작성한 사용자들의 짧은 문장에 함축된 단어와 단어들 간의 연관성을 이용하여 문장 내 감정 상태를 예측하고 사용자의 감정에 따른 적절한 답변이나 추출한 감정과 유사한 트윗글이나 영화 등을 추천하는데 사용될 수 있는 방법을 제안한다.