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A reuse recommendation framework of artifacts based on task similarity to improve R&D performance (연구개발 생산성 향상을 위한 태스크 유사도 기반 산출물 재사용 추천 프레임워크)

  • Nam, Seungwoo;Daneth, Horn;Hong, Jang-Eui
    • Journal of Convergence for Information Technology
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    • v.9 no.2
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    • pp.23-33
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    • 2019
  • Research and development(R&D) activities consist of analytical survey and state-of-the-art report writing for technical information. As R & D activities become more concrete, it often happens that they refer to related technical documents that were created in previous steps or created in previous similar projects. This paper proposes a research-task based reuse recommendation framework(RTRF), which is a reuse recommendation system that enables researchers to efficiently reuse the existing artifacts. In addition to the existing keyword-based retrieval and reuse, the proposed framework also provides reusable information that researchers may need by recommending reusable artifacts based on task similarity; other developers who have a similar task to the researcher's work can recommend reusable documents. A case study was performed to show the researchers' efficiency in the process of writing the technology trend report by reusing existing documents. When reuse is performed using RTRF, it can be seen that documents of different stages or other research fields are reused more frequently than when RTRF is not used. The RTRF may contribute to the efficient reuse of the desired artifacts among huge amount of R&D documents stored in the repository.

A Study on Geospatial Information Role in Digital Twin (디지털트윈에서 공간정보 역할에 관한 연구)

  • Lee, In-Su
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.22 no.3
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    • pp.268-278
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    • 2021
  • Technologies that are leading the fourth industrial revolution, such as the Internet of Things (IoT), big data, artificial intelligence (AI), and cyber-physical systems (CPS) are developing and generalizing. The demand to improve productivity, economy, safety, etc., is spreading in various industrial fields by applying these technologies. Digital twins are attracting attention as an important technology trend to meet demands and is one of the top 10 tasks of the Korean version of the New Deal. In this study, papers, magazines, reports, and other literature were searched using Google. In order to investigate the contribution or role of geospatial information in the digital twin application, the definition of a digital twin, we investigated technology trends of domestic and foreign companies; the components of digital twins required in manufacturing, plants, and smart cities; and the core techniques for driving a digital twin. In addition, the contributing contents of geospatial information were summarized by searching for a sentence or word linked between geospatial-related keywords (i.e., Geospatial Information, Geospatial data, Location, Map, and Geodata and Digital Twin). As a result of the survey, Geospatial information is not only providing a role as a medium connecting objects, things, people, processes, data, and products, but also providing reliable decision-making support, linkage fusion, location information provision, and frameworks. It was found that it can contribute to maximizing the value of utilization of digital twins.

Domestic Research Trends on Grit (그릿에 관한 국내 연구동향)

  • Hong, Seung-Hee;Hyun, Yong-Chan;Park, Jung-Hwan
    • Journal of Convergence for Information Technology
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    • v.11 no.6
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    • pp.131-138
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    • 2021
  • The purpose of this study is to derive the implications of Grit research by analyzing domestic research trends on Grit, which is a non-cognitive subject that has been actively researched in Korea recently in order to grasp the achievements so far and to seek directions for research. The analysis method was analyzed according to the pre-set criteria (annual publication status, research subject, research method, research topic, etc.) which were focusing on KCI listed and KCI excellent Grit papers among domestic academic papers of 'RISS'. As a result of the study, from 2013 to 2019, a total of 203 papers were searched and published in 92 domestic journals. Beside that, the subjects of the study, 88 cases (43.35%) were college students and 180 cases (88.67%) were quantitative studies as the research method. So, the most common research method was quantitative research. As a quantitative research method, the structural relationship between Grit and other variables, mediating effect, difference verification, and moderation effect verification were shown in order, and qualitative research has been conducted since 2017 to develop the concept of Grit, the Grit scale, and the corresponding factor structure and validity. This study will contribute to the educational field by presenting the implications of research on the development of Grit in Korea.

Effects of Death Education Programs among Korean Aged in the Convergence Era: A Systematic Review and Meta-Analysis (융복합 시대 한국 노인의 죽음교육 프로그램 효과: 체계적 문헌고찰 및 메타분석)

  • Kim, Hyunsim;Park, Seurk
    • Journal of Convergence for Information Technology
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    • v.12 no.5
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    • pp.71-82
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    • 2022
  • This study aimed to identify the effects of death education programs among Korean aged on death anxiety and attitudes toward death in the convergence era. The searched kew words were included aged, death education program, death anxiety, and attitudes to death in the research papers published in Korea. Finally, 11 studies were selected and the effect size was calculated. Death anxiety and death attitude were selected as dependent variables, and publication type, total duration of intervention, and frequency of intervention were selected as moderator variables. The total of 11 papers were selected to estimate the effect sizes of interventions. As a result, the overall effect size of the death education program for the aged was 1.07. The overall effect size showed death education program was able to lower death anxiety (Hedges' g=1.30, 95% Cl=0.80~1.80, p<.01) and improve attitudes to death (Hedges' g=0.93, 95% Cl=0.49~1.37, p<.01) compared with the no intervention group. In the moderator analysis to identify the cause of heterogeneity, significant results were found in the frequency of intervention. We propose a study that repeatedly verifies the effect of related studies in the future by providing the theoretical basis and basic data for the development of the death education program.

Problem Structuring in IT Policy: Boundary Analysis of IT Policy Problems (경계분석을 통한 정책문제 정의에 관한 연구 - 언론보도에 나타난 IT 정책문제 탐색을 중심으로 -)

  • Park, Chisung;Nam, Ki Bum
    • 한국정책학회보
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    • v.21 no.4
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    • pp.199-228
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    • 2012
  • Policy problems are complex due to diverse participants and their relations in the policy processes. Defining the right problem in the first place is important because Type III error is likely to happen without removing rival hypothesis in defining the problem. This study applies Boundary Analysis suggested by Dunn to structure IT policy problems in Korea. The time frame of the study focuses on 5 years of Lee Administration and data are collected from four newspapers. Using content analysis, the study, first, elaborates total 2,614 policy problems from 1,908 stakeholders. After removing duplicating problems, 369 problems from 323 stakeholders are identified as a boundary of IT policy problem. Among others, failures in government policies are weighted as the most serious problems in IT policy field. However, many significant problems raised by stakeholders dated back to more than a decade, and those are intrinsic problems, which initially caused by market distortions in the IT industry. Therefore, we should be cautious not to overemphasize the most conspicuous problem as the only problem in the policy field when we interpret results of problem structuring.

Hair Design Kite that uses the Organic Form of Nature (자연의 유기적 형태를 응용한 헤어디자인 연구)

  • Jin, Yong-Mi;Kim, Yeon-Min
    • Journal of Convergence for Information Technology
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    • v.12 no.3
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    • pp.214-221
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    • 2022
  • The purpose of this study is to produce works with motifs from organic forms of nature and to try to drive various forms. As a research method, literature was investigated through rsearch in domestic academic jounals, and four hair sculptures that can be used easily in practice were produced by combining the organic forms and design concepts of nature. As a result of the study, first, the work was produced by applying the law of harmony and balance with the motif of the crescent moon. Second, the flow of wave waves was expressed by applying the law of repetition with the motif of waves. Third, the haze rising from the waterfall was expressed by applying the law of dissonance. Fourth, l tried to give the image of the sun announcing a new beginning by emphasizing the rising sun. As a result, it can be seen that the organic form of nature gives an embarrassing inspiration to create design. The limitation of this study is that the accuracy of producing works only with mannequins and producing the same image in the actual model should be limited, and as a follow-up study, research that can be used in the actual model should be continuously conducted.

Implementation of Security Information and Event Management for Realtime Anomaly Detection and Visualization (실시간 이상 행위 탐지 및 시각화 작업을 위한 보안 정보 관리 시스템 구현)

  • Kim, Nam Gyun;Park, Sang Seon
    • Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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    • v.8 no.5
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    • pp.303-314
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    • 2018
  • In the past few years, government agencies and corporations have succumbed to stealthy, tailored cyberattacks designed to exploit vulnerabilities, disrupt operations and steal valuable information. Security Information and Event Management (SIEM) is useful tool for cyberattacks. SIEM solutions are available in the market but they are too expensive and difficult to use. Then we implemented basic SIEM functions to research and development for future security solutions. We focus on collection, aggregation and analysis of real-time logs from host. This tool allows parsing and search of log data for forensics. Beyond just log management it uses intrusion detection and prioritize of security events inform and support alerting to user. We select Elastic Stack to process and visualization of these security informations. Elastic Stack is a very useful tool for finding information from large data, identifying correlations and creating rich visualizations for monitoring. We suggested using vulnerability check results on our SIEM. We have attacked to the host and got real time user activity for monitoring, alerting and security auditing based this security information management.

An Exploratory Study on the Trustworthiness Analysis of Generative AI (생성형 AI의 신뢰도에 대한 탐색적 연구)

  • Soyon Kim;Ji Yeon Cho;Bong Gyou Lee
    • Journal of Internet Computing and Services
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    • v.25 no.1
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    • pp.79-90
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    • 2024
  • This study focused on user trust in ChatGPT, a generative AI technology, and explored the factors that affect usage status and intention to continue using, and whether the influence of trust varies depending on the purpose. For this purpose, the survey was conducted targeting people in their 20s and 30s who use ChatGPT the most. The statistical analysis deploying IBM SPSS 27 and SmartPLS 4.0. A structural equation model was formulated on the foundation of Bhattacherjee's Expectation-Confirmation Model (ECM), employing path analysis and Multi-Group Analysis (MGA) for hypothesis validation. The main findings are as follows: Firstly, ChatGPT is mainly used for specific needs or objectives rather than as a daily tool. The majority of users are cognizant of its hallucination effects; however, this did not hinder its use. Secondly, the hypothesis testing indicated that independent variables such as expectation- confirmation, perceived usefulness, and user satisfaction all exert a positive influence on the dependent variable, the intention for continuance intention. Thirdly, the influence of trust varied depending on the user's purpose in utilizing ChatGPT. trust was significant when ChatGPT is used for information retrieval but not for creative purposes. This study will be used to solve reliability problems in the process of introducing generative AI in society and companies in the future and to establish policies and derive improvement measures for successful employment.

A Topic Modeling Approach to the Analysis of Seniors' Happiness and Unhappiness in Korea (토픽 모델링 기반 한국 노인의 행복과 불행 이슈 분석)

  • Dong ji Moon;Dine Yon;Hee-Woong Kim
    • Information Systems Review
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    • v.20 no.2
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    • pp.139-161
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    • 2018
  • As Korea became one of the oldest countries in the world, successful aging emerged as an important issue to individuals as well as to society. This study aims to determine not only the Korean seniors' happiness and unhappiness factors but also the means to enhance their happiness and deal with unhappiness. We collected news articles related to the happiness and unhappiness of seniors with nine keywords based on Alderfer's ERG Theory. We then applied a topic modeling technique, Latent Dirichlet Allocation, to examine the main issues underlying the seniors' happiness and unhappiness. According to the analysis, we investigated the conditions of happiness and unhappiness by inspecting the topics based on each keyword. We also conducted a detailed analysis based on the main factors from topic modeling. We proposed specific ways to increase and overcome the happiness and unhappiness of seniors, respectively, in terms of government, corporate, family, and other social welfare organizations. This study indicates the major factors that affect the happiness and unhappiness of seniors. Specific methods to boost happiness and relief unhappiness are suggested from the additional analysis.

Designing an Intelligent Advertising Business Model in Seoul's Metro Network (서울지하철의 지능형 광고 비즈니스모델 설계)

  • Musyoka, Kavoya Job;Lim, Gyoo Gun
    • Journal of Intelligence and Information Systems
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    • v.23 no.4
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    • pp.1-31
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    • 2017
  • Modern businesses are adopting new technologies to serve their markets better as well as to improve efficiency and productivity. The advertising industry has continuously experienced disruptions from the traditional channels (radio, television and print media) to new complex ones including internet, social media and mobile-based advertising. This case study focuses on proposing intelligent advertising business model in Seoul's metro network. Seoul has one of the world's busiest metro network and transports a huge number of travelers on a daily basis. The high number of travelers coupled with a well-planned metro network creates a platform where marketers can initiate engagement and interact with both customers and potential customers. In the current advertising model, advertising is on illuminated and framed posters in the stations and in-car, non-illuminated posters, and digital screens that show scheduled arrivals and departures of metros. Some stations have digital screens that show adverts but they do not have location capability. Most of the current advertising media have one key limitation: space. For posters whether illuminated or not, one space can host only one advert at a time. Empirical literatures show that there is room for improving this advertising model and eliminate the space limitation by replacing the poster adverts with digital advertising platform. This new model will not only be digital, but will also provide intelligent advertising platform that is driven by data. The digital platform will incorporate location sensing, e-commerce, and mobile platform to create new value to all stakeholders. Travel cards used in the metro will be registered and the card scanners will have a capability to capture traveler's data when travelers tap their cards. This data once analyzed will make it possible to identify different customer groups. Advertisers and marketers will then be able to target specific customer groups, customize adverts based on the targeted consumer group, and offer a wide variety of advertising formats. Format includes video, cinemagraphs, moving pictures, and animation. Different advert formats create different emotions in the customer's mind and the goal should be to use format or combination of formats that arouse the expected emotion and lead to an engagement. Combination of different formats will be more effective and this can only work in a digital platform. Adverts will be location based, ensuring that adverts will show more frequently when the metro is near the premises of an advertiser. The advertising platform will automatically detect the next station and screens inside the metro will prioritize adverts in the station where the metro will be stopping. In the mobile platform, customers who opt to receive notifications will receive them when they approach the business premises of advertiser. The mobile platform will have indoor navigation for the underground shopping malls that will allow customers to search for facilities within the mall, products they may want to buy as well as deals going on in the underground mall. To create an end-to-end solution, the mobile solution will have a capability to allow customers purchase products through their phones, get coupons for deals, and review products and shops where they have bought a product. The indoor navigation will host intelligent mobile-based advertisement and a recommendation system. The indoor navigation will have adverts such that when a customer is searching for information, the recommendation system shows adverts that are near the place traveler is searching or in the direction that the traveler is moving. These adverts will be linked to the e-commerce platform such that if a customer clicks on an advert, it leads them to the product description page. The whole system will have multi-language as well as text-to-speech capability such that both locals and tourists have no language barrier. The implications of implementing this model are varied including support for small and medium businesses operating in the underground malls, improved customer experience, new job opportunities, additional revenue to business model operator, and flexibility in advertising. The new value created will benefit all the stakeholders.