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A Study of Intelligent Recommendation System based on Naive Bayes Text Classification and Collaborative Filtering (나이브베이즈 분류모델과 협업필터링 기반 지능형 학술논문 추천시스템 연구)

  • Lee, Sang-Gi;Lee, Byeong-Seop;Bak, Byeong-Yong;Hwang, Hye-Kyong
    • Journal of Information Management
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    • v.41 no.4
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    • pp.227-249
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    • 2010
  • Scholarly information has increased tremendously according to the development of IT, especially the Internet. However, simultaneously, people have to spend more time and exert more effort because of information overload. There have been many research efforts in the field of expert systems, data mining, and information retrieval, concerning a system that recommends user-expected information items through presumption. Recently, the hybrid system combining a content-based recommendation system and collaborative filtering or combining recommendation systems in other domains has been developed. In this paper we resolved the problem of the current recommendation system and suggested a new system combining collaborative filtering and Naive Bayes Classification. In this way, we resolved the over-specialization problem through collaborative filtering and lack of assessment information or recommendation of new contents through Naive Bayes Classification. For verification, we applied the new model in NDSL's paper service of KISTI, especially papers from journals about Sitology and Electronics, and witnessed high satisfaction from 4 experimental participants.

A Qualitative Study on the Process of Group Mentoring -With a Focus on the Types of Relationships among Participants- (집단멘토링의 참여과정에 관한 연구 -멘티의 관계 유형을 중심으로-)

  • Park, Hyun-Sun;Lee, Hyun-Joo;Seo, Min-Jeong
    • Journal of the Korean Society of Child Welfare
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    • no.40
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    • pp.323-351
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    • 2012
  • The purpose of this study is to analyze the process of relationships among participants in a group mentoring program. Sixteen youths who participated as mentees in a group mentoring program were theoretically sampled and participated in in-depth interviews. The analysis was based on Strauss and Corbin's grounded theory approach(1990). The result shows that the qualitative text data were classified into 14 categories and 31 sub-categories. Four different types of mentees' experiences were identified: 'expanded mentoring relationship', 'peer-oriented relationship', 'task-oriented relationship' and 'avoidant relationship'. Through a process analysis, four stages including 'stage of exploring', 'stage of establishing relations', 'stage of conflict' and 'stage of expanding relations' were discovered. Implications for social work intervention and policy development were discussed based on these findings.

A Macro Attacks Detection Model Based on Trace Back Information (트레이스 백 정보에 기반한 매크로 공격 탐지 모델)

  • Baek, Yong Jin;Hong, Suk Won;Park, Jae Heung;Kang, Gyeong Won;Kim, Sang Bok
    • Convergence Security Journal
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    • v.18 no.5_1
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    • pp.113-120
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    • 2018
  • Today, the development of information and communication technology is rapidly increasing the number of users of network-based service, and enables real-time information sharing among users on the Internet. There are various methods in the information sharing process, and information sharing based on portal service is generally used. However, the process of information sharing serves as a cause of illegal activities in order to amplify the social interest of the relevant stakeholders. Public opinion attack using macro function can distort normal public opinion, so security measures are urgent. Therefore, security measures are urgently needed. Macro attacks are generally defined as attacks in which illegal users acquire multiple IP or ID to manipulate public opinion on the content of a particular web page. In this paper, we analyze network path information based on traceback for macro attack of a specific user, and then detect multiple access of the user. This is a macro attack when the access path information for a specific web page and the user information are matched more than once. In addition, when multiple ID is accessed for a specific web page in the same region, it is not possible to distort the overall public opinion on a specific web page by analyzing the threshold count value.

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Studies of the possibility of external threats of the automotive ECU through simulation test environment (자동차용 ECU의 CAN 메시지를 통한 자동차 공격 방법 연구)

  • Lee, Hye-Ryun;Kim, Kyoung-Jin;Jung, Gi-Hyun;Choi, Kyung-Hee;Park, Seung-Kyu;Kwon, Do-Keun
    • Journal of the Korea Society of Computer and Information
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    • v.18 no.11
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    • pp.39-49
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    • 2013
  • In this paper, security mechanism of internal network(CAN) of vehicle is a very incomplete state and the possibility of external threats as a way to build a test environment that you can easily buy from the market by the vehicle's ECU(Electric Control Unit) to verify and obtain a CAN message. Then, by applying it to ECU of the real car to try to attack is proposed. A recent study, Anyone can see plain-text status of the CAN message in the vehicle. so that in order to verify the information is vulnerable to attack from outside, analyze the data in a vehicle has had a successful attack, but attack to reverse engineering in the stationary state and buying a car should attempt has disadvantages that spatial, financial, and time costs occurs. Found through the car's ECU CAN message is applied to a real car for Potential threats outside of the car to perform an experiment to verify and equipped with a wireless network environment, the experimental results, proposed method through in the car to make sure the attack is possible. As a result, reduce the costs incurred in previous studies and in the information absence state of the car, potential of vehicle's ECU attack looks.

A Topic Analysis of College Education Using Big Data of News Articles (뉴스 빅데이터를 통해 검토한 대학교육의 토픽 분석)

  • Yang, Ji-Yeon;Koo, Jeong-Ho
    • Journal of Digital Convergence
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    • v.19 no.12
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    • pp.11-20
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    • 2021
  • This study extracts topics related to university education through newspaper articles and analyzes the characteristics of each topic and the reporting patterns of each newspaper. The 9 topics were discovered using LDA. Topic 1 and Topic 3 are related to university support projects for education, but Topic 3 is focused on local universities. Topic 2 is about university education after COVID-19, Topic 4 teaching-learning methods, Topic 5 government policies, Topic 6 the high school education contribution university support projects, Topic 7 the university education vision, Topic 8 internationalization, and Topic 9 the entrance exam. The Chosun Ilbo, Kyunghyang, and Hankyoreh reported a lot of articles associated to lectures after COVID-19, government policies, and comments on university education. Relevant articles since 2016 have been analyzed by newspaper type and before/after COVID-19 through which differences in the topics were studied and discussed. These findings would suggest a basic policy guideline for university education and imply that the positive and negative effects of the media need to be considered.

A Study on the Product Planning Model based on Word2Vec using On-offline Comment Analysis: Focused on the Noiseless Vertical Mouse User (온·오프라인 댓글 분석이 활용된 Word2Vec 기반 상품기획 모델연구: 버티컬 무소음마우스 사용자를 중심으로)

  • Ahn, Yeong-Hwi
    • Journal of Digital Convergence
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    • v.19 no.10
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    • pp.221-227
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    • 2021
  • In this paper, we conducted word-to-word similarity analysis of standardized datasets collected through web crawling for 10,000 Vertical Noise Mouses using Word2Vec, and made 92 students of computer engineering use the products presented for 5 days, and conducted self-report questionnaire analysis. The questionnaire analysis was conducted by collecting the words in the form of a narrative form and presenting and selecting the top 50 words extracted from the word frequency analysis and the word similarity analysis. As a result of analyzing the similarity of e-commerce user's product review, pain (.985) and design (.963) were analyzed as the advantages of click keywords, and the disadvantages were vertical (.985) and adaptation (.948). In the descriptive frequency analysis, the most frequently selected items were Vertical (123) and Pain (118). Vertical (83) and Pain (75) were selected for the advantages of selecting the long/demerit similar words, and adaptation (89) and buttons (72) were selected for the disadvantages. Therefore, it is expected that decision makers and product planners of medium and small enterprises can be used as important data for decision making when the method applied in this study is reflected as a new product development process and a review strategy of existing products.

News Article Analysis of the 4th Industrial Revolution and Advertising before and after COVID-19: Focusing on LDA and Word2vec (코로나 이전과 이후의 4차 산업혁명과 광고의 뉴스기사 분석 : LDA와 Word2vec을 중심으로)

  • Cha, Young-Ran
    • The Journal of the Korea Contents Association
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    • v.21 no.9
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    • pp.149-163
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    • 2021
  • The 4th industrial revolution refers to the next-generation industrial revolution led by information and communication technologies such as artificial intelligence (AI), Internet of Things (IoT), robot technology, drones, autonomous driving and virtual reality (VR) and it also has made a significant impact on the development of the advertising industry. However, the world is rapidly changing to a non-contact, non-face-to-face living environment to prevent the spread of COVID 19. Accordingly, the role of the 4th industrial revolution and advertising is changing. Therefore, in this study, text analysis was performed using Big Kinds to examine the 4th industrial revolution and changes in advertising before and after COVID 19. Comparisons were made between 2019 before COVID 19 and 2020 after COVID 19. Main topics and documents were classified through LDA topic model analysis and Word2vec, a deep learning technique. As the result of the study showed that before COVID 19, policies, contents, AI, etc. appeared, but after COVID 19, the field gradually expanded to finance, advertising, and delivery services utilizing data. Further, education appeared as an important issue. In addition, if the use of advertising related to the 4th industrial revolution technology was mainstream before COVID 19, keywords such as participation, cooperation, and daily necessities, were more actively used for education on advanced technology, while talent cultivation appeared prominently. Thus, these research results are meaningful in suggesting a multifaceted strategy that can be applied theoretically and practically, while suggesting the future direction of advertising in the 4th industrial revolution after COVID 19.

The Relationship between Cell Phone Utilization and Depressive Symptoms among the Korean Elderly Living Alone (독거노인의 휴대폰 활용 정도와 우울에 미치는 영향)

  • Sagong, Hae;Yoon, Ju Young
    • 한국노년학
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    • v.38 no.3
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    • pp.467-480
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    • 2018
  • The purpose of this study is to examine the relationship between the cell phone utilization and depression among the Korean elderly living alone using '2014 Korean National Survey on Older Adults. A total of 2,493 survey data of the elders living alone 65 years or more was included in the analysis. The degree of the cell phone utilization were categorized into (1) No cell phone, (2) Only phone calls, (3) Phone calls and text messages, and (4) Searching news and information through the internet surfing. The results showed that 81.5% elderly living alone had a cell phone. The 'no cell phone' group was 19.5% while 'information search' group was 3.5% among the elderly living alone and has more probability of depression than 'information search' group (OR=0.064, 95% CI=0.018-0.227), which indicates that as elders living alone utilize their cell phone more, the probability of the depression decreased. This result implies that elders living alone who utilize their cell phone more are engaged in social interaction more and this can lead to decrease in depression.

A Study on the Research Trends for Smart City using Topic Modeling (토픽 모델링을 활용한 스마트시티 연구동향 분석)

  • Park, Keon Chul;Lee, Chi Hyung
    • Journal of Internet Computing and Services
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    • v.20 no.3
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    • pp.119-128
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    • 2019
  • This study aims to analyze the research trends on Smart City and to present implications to policy maker, industry professional, and researcher. Cities around globe have undergone the rapid progress in urbanization and the consequent dramatic increase in urban dwellings over the past few decades, and faced many urban problems in such areas as transportation, environment and housing. Cities around the globe are in a hurry to introduce Smart City to pursue a common goal of solving these urban problems and improving the quality of their lives. However, various conceptual approaches to smart city are causing uncertainty in setting policy goals and establishing direction for implementation. The study collected 11,527 papers titled "Smart City(cities)" from the Scopus DB and Springer DB, and then analyze research status, topic, trends based on abstracts and publication date(year) information using the LDA based Topic Modeling approaches. Research topics are classified into three categories(Services, Technologies, and User Perspective) and eight regarding topics. Out of eight topics, citizen-driven innovation is the most frequently referred. Additional topic network analysis reveals that data and privacy/security are the most prevailing topics affecting others. This study is expected to helps understand the trends of Smart City researches and predict the future researches.

The Effect of College Festival Participants' Experience on Festival Satisfaction, Re-participation and Peer Relation Enhancement: Focusing on College Life Participation (대학축제체험이 축제만족, 재참가의도, 교우관계에 미치는 영향: 대학생활 참여정도를 중심으로)

  • Yang, Soung-Hoon
    • The Journal of the Korea Contents Association
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    • v.19 no.7
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    • pp.246-257
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    • 2019
  • This research aimed to verify possibly expanding college festival's performance to ordinary life. College festivals have consolidated student communities and created college culture. Recently, the festivals have been challenged for commercialization such as celebrity concert and company sponsorship. College festival is a text, which is based on ordinary college life and should served a role to restore college life. Pine & Gilmore's experience model was used to find that quality festival experience leads to satisfaction and satisfaction enhance peer relations. More participate school life, the better experience the festival program. Total 195 of questionnaires were administered to college festival participants and coding data were analyzed by regression and t test. Result found that College festival experience significantly affects festival satisfaction(H1), festival satisfaction affect re-participation(H2) and peer relations(H3). High level of school life participation group showed significant differences in festival experience and other variables in compare with low level group(H4). Theoretical /practical significances and research limitation were included.