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A Study on the 4th Industrial Revolution and Intelligent Government Operating Strategy -In Terms of Block Chain Introduction Plans of Electronic Government- (제4차 산업혁명과 지능형 정부 운용전략에 대한 연구 -블록체인 기술의 전자정부 도입방안 측면에서-)

  • Lee, Sang-Yun;Yoon, Hong-Joo
    • The Journal of the Korea institute of electronic communication sciences
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    • v.14 no.1
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    • pp.1-10
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    • 2019
  • In terms of realizing the future e-government such as intelligent government, this paper attempts to provide an earnest and insightful reflection and suggests desirable strategies with regard to the four different crucial elements including electronic voting, electronic contract, resident registration/electronic document management, and real-estate registration as an operating strategy of intelligent government and the fourth industrial revolution regarding. The 4th industrial revolution is aimed at concentrating information or data characterized with sharing, opening, communicating and releasing in cloud computing system, analyzing big data, collecting information, and flourishing people's well-being by information and communications technology with utilizing the smart devices. Therefore, reliability of the pivotal information or data is critical and it is important for the participants being transparently shared, without the data or information being forged. In this respect, introduction or application of block chain technology is essential. This paper will review preceding studies, discuss the aspect of the 4th industrial revolution and intelligent government, then suggest operating strategies in the field of electronic voting, electronic contract, management of resident registration and electronic document and real-estate registration.

Design of IoT Gateway based Event-Driven Architecture for Intelligent Buildings. (IoT 게이트웨이 기반 지능형 건물의 이벤트 중심 아키텍쳐 설계)

  • Nkenyereye, Lionel;Jang, Jong-Wook
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2016.10a
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    • pp.256-259
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    • 2016
  • The growth of mobile devices in Internet of Things (IoT) leads to a number of intelligent buildings related IoT applications. For instance, home automation controlling system uses client system such web apps on smartphone or web service to access the home server by sending control commands. The home server receives the command, then controls for instance the light system. The gateway based RESTful technology responsible for handling clients' requests attests an internet latency in case a large number of clients' requests submit toward the gateway increases. In this paper, we propose the design tasks of the IoT gateway for handling concurrency events. In the procedure of designing tasks, concurrency is best understood by employing multiple levels of abstraction. The way that is eminently to accomplish concurrency is to build an object-oriented environment with support for messages passing between concurrent objects. We also investigate the performance of event-driven architecture for building IoT gateway using node.js on one side and communication protocol based message-oriented middleware known as XMPP to handle communications of intelligent building control devices connected to the gateway through a centralized hub. The Node.JS is 40% faster than the traditional web server side features thread-based approach. The use of Node.js server-side handles a large number of clients' requests, then therefore, reduces delay in performing predefined actions automatically in intelligent building IoT environment.

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Get It Closer: Effect of the Approach-Avoidance Experience on Attitude through a Touchscreen Device (터치스크린을 통한 접근-회피 경험이 태도에 미치는 영향)

  • Jung, Yujin;Kang, Hyunmin;Yun, Munseon;Han, Kwanghee
    • Science of Emotion and Sensibility
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    • v.22 no.2
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    • pp.17-28
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    • 2019
  • The touchscreen device is now commonly found in the form of mobile phones, tablet PCs, and other devices. Varied physical and visual experiences can be experienced through touchscreens. This study intended to explore how the physical and visual experiences provided by the touchscreen would affect people through their existing associations of behavior-attitude. Previous studies have found that certain behaviors affect attitudes. In particular, the approach-avoidance behavior has been noted to influence both social and personal attitudes. It was thus deemed necessary to ascertain the approach-avoidance effect exerted by touchscreens on the attitudes of users as the technology is widely used today. Experiment 1 provided an approach-avoidance experience via a touchscreen and demonstrated that touchscreen-based approach-avoidance dragging behavior on the touchscreen can affect a user's preference and purchase intent. It was found that a product that had been approached showed both higher preference and higher purchase intent than a product that had been avoided. Experiment 2 investigated whether a similar effect would occur when only the visual experience of approach-avoidance was provided. The outcome proved that products that had been visually approached had higher scores than products that had been avoided, both in terms of preference and purchase intent. The movement of the arm on the touchscreen (Experiment 1) and the visual perception of the approach-avoidance experience (Experiment 2) were both shown to influence participants' attitudes toward products. The results of this study suggest that the behavior and perception of users may be an important factor in designing touchscreen interfaces for online shopping.

Optimization of Elastic Modulus and Cure Characteristics of Composition for Die Attach Film (다이접착필름용 조성물의 탄성 계수 및 경화 특성 최적화)

  • Sung, Choonghyun
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.20 no.4
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    • pp.503-509
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    • 2019
  • The demand for smaller, faster, and multi-functional mobile devices in increasing at a rapidly increasing rate. In response to these trends, Stacked Chip Scale Package (SCSP) is used widely in the assembly industry. A film type adhesive called die attach film (DAF) is used widely for bonding chips in SCSP. The DAF requires high flowability at high die attachment temperatures for bonding chips on organic substrates, where the DAF needs to feel the gap depth, or for bonding the same sized dies, where the DAF needs to penetrate bonding wires. In this study, the mixture design of experiment (DOE) was performed for three raw materials to obtain the optimized DAF recipe for low elastic modulus at high temperature. Three components are acrylic polymer (SG-P3) and two solid epoxy resins (YD011 and YDCN500-1P) with different softening points. According to the DOE results, the elastic modulus at high temperature was influenced greatly by SG-P3. The elastic modulus at $100^{\circ}C$ decreased from 1.0 MPa to 0.2 MPa as the amount of SG-P3 was decreased by 20%. In contrast, the elastic modulus at room temperature was dominated by YD011, an epoxy with a higher softening point. The optimized DAF recipe showed approximately 98.4% pickup performance when a UV dicing tape was used. A DAF crack that occurred in curing was effectively suppressed through optimization of the cure accelerator amount and two-step cure schedule. The imizadole type accelerator showed better performance than the amine type accelerator.

Impacts of Perceived Value and Trust on Intention to Continue Use of Individuals' Cloud Computing: The Perception of Value-based Adoption Model (클라우드 컴퓨팅의 지각된 가치와 신뢰가 지속적 사용의도에 미치는 영향: 가치기반수용모델을 기반으로)

  • Kim, Sanghyun;Park, Hyunsun;Kim, Bora
    • Journal of Digital Convergence
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    • v.19 no.1
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    • pp.77-88
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    • 2021
  • Cloud computing is getting a lot of attention by many people and businesses due to IT environmental changes such as the proliferation of smart devices, the increase of digital data, and the cost of IT resources. More individuals use personal cloud computing services for storing and managing information and data. Therefore, this study proposed determinants that are expected to have an influence on evaluating the value of cloud computing based on the value-based adoption model, examining the relationship between the continuous use intention of cloud computing. Results of the study show that usefulness, convenience of information access, extensibility had a positive impact on perceived value while privacy concerns and costs had a negative impact on perceived value. In addition, perceived value was found to have a significant effect on the intention to continue use of cloud computing. Finally, trust was found to have a significant effect on the perceived value and the intention to continue use of cloud computing. The findings are expected to provide useful information for understanding the factors that individual users consider important in the steadily growing cloud computing market.

A Study on the Development of Coloring Game Aesthetic by the Application of Hallyu Korean Wave Image (한류 이미지 활용에 대한 컬러링 게임 미적요소 발전방향 연구)

  • Lee, Jun-Hee;Jung, Hyeong-Won
    • Journal of Digital Convergence
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    • v.18 no.12
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    • pp.565-570
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    • 2020
  • This paper was intended to present a way to incorporate Korean content and products of Korean brands into functional coloring games that color them for the continued development of digital hallyu at this time of the world's derivation, as shown by the Korean Wave, a word that means more and more people like Korean culture worldwide. For the development of the Korean digital convergence functional game industry that can solve users' leisure time, we will compare and analyze the advanced image cuts provided by coloring games that have been commercialized and serviced, and seek ways to utilize the image of Hallyu contents that are not provided in existing coloring games. In the image cuts used in functional coloring games, we will find ways to utilize differentiated Hallyu content image cuts and study and present the direction of development of aesthetic elements of coloring games. Research on Korean Wave content, which has made use of our own aesthetic elements, should continue, and functional games using digital mobile device devices and game content elements utilizing Korean images in the Korean game industry will help spread Korean pop culture and digital Hallyu.

Design and Implementation of Analysis Techniques for Fragmented Pages in the Flash Memory Image of Smartphones (스마트폰 플래시 메모리 이미지 내의 단편화된 페이지 분석 기법 및 구현)

  • Park, Jung-Heum;Chung, Hyun-Ji;Lee, Sang-Jin;Son, Young-Dong
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.22 no.4
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    • pp.827-839
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    • 2012
  • A cell phone is very close to the user and therefore should be considered in digital forensic investigation. Recently, the proportion of smartphone owners is increasing dramatically. Unlike the feature phone, users can utilize various mobile application in smartphone because it has high-performance operating system (e.g., Android, iOS). As acquisition and analysis of user data in smartphone are more important in digital forensic purposes, smartphone forensics has been studied actively. There are two way to do smartphone forensics. The first way is to extract user's data using the backup and debugging function of smartphones. The second way is to get root permission, and acquire the image of flash memory. And then, it is possible to reconstruct the filesystem, such as YAFFS, EXT, RFS, HFS+ and analyze it. However, this methods are not suitable to recovery and analyze deleted data from smartphones. This paper introduces analysis techniques for fragmented flash memory pages in smartphones. Especially, this paper demonstrates analysis techniques on the image that reconstruction of filesystem is impossible because the spare area of flash memory pages does not exist and the pages in unallocated area of filesystem.

A Study on the remote acuisition of HejHome Air Cloud artifacts (스마트 홈 헤이 홈 Air의 클라우드 아티팩트 원격 수집 방안 연구)

  • Kim, Ju-eun;Seo, Seung-hee;Cha, Hae-seong;Kim, Yeok;Lee, Chang-hoon
    • Journal of Internet Computing and Services
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    • v.23 no.5
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    • pp.69-78
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    • 2022
  • As the use of Internet of Things (IoT) devices has expanded, digital forensics coverage of the National Police Agency has expanded to smart home areas. Accordingly, most of the existing studies conducted to acquire smart home platform data were mainly conducted to analyze local data of mobile devices and analyze network perspectives. However, meaningful data for evidence analysis is mainly stored on cloud storage on smart home platforms. Therefore, in this paper, we study how to acquire stored in the cloud in a Hey Home Air environment by extracting accessToken of user accounts through a cookie database of browsers such as Microsoft Edge, Google Chrome, Mozilia Firefox, and Opera, which are recorded on a PC when users use the Hey Home app-based "Hey Home Square" service. In this paper, the it was configured with smart temperature and humidity sensors, smart door sensors, and smart motion sensors, and artifacts such as temperature and humidity data by date and place, device list used, and motion detection records were collected. Information such as temperature and humidity at the time of the incident can be seen from the results of the artifact analysis and can be used in the forensic investigation process. In addition, the cloud data acquisition method using OpenAPI proposed in this paper excludes the possibility of modulation during the data collection process and uses the API method, so it follows the principle of integrity and reproducibility, which are the principles of digital forensics.

Suggestion of Selecting features and learning models for Android-based App Malware Detection (안드로이드 기반 앱 악성코드 탐지를 위한 Feature 선정 및 학습모델 제안)

  • Bae, Se-jin;Rhee, Jung-soo;Baik, Nam-kyun
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2022.05a
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    • pp.377-380
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    • 2022
  • An application called an app can be downloaded and used on mobile devices. Among them, Android-based apps have the disadvantage of being implemented on an open source basis and can be exploited by anyone, but unlike iOS, which discloses only a small part of the source code, Android is implemented as an open source, so it can analyze the code. However, since anyone can participate in changing the source code of open source-based Android apps, the number of malicious codes increases and types are bound to vary. Malicious codes that increase exponentially in a short period of time are difficult for humans to detect one by one, so it is efficient to use a technique to detect malicious codes using AI. Most of the existing malicious app detection methods are to extract Features and detect malicious apps. Therefore, three ways to select the optimal feature to be used for learning after feature extraction are proposed. Finally, in the step of modeling with optimal features, ensemble techniques are used in addition to a single model. Ensemble techniques have already shown results beyond the performance of a single model, as has been shown in several studies. Therefore, this paper presents a plan to select the optimal feature and implement a learning model for Android app-based malicious code detection.

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A study on the Revitalization of Traditional Market with Smart Platform (스마트 플랫폼을 이용한 전통시장 활성화 방안 연구)

  • Park, Jung Ho;Choi, EunYoung
    • Journal of Service Research and Studies
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    • v.13 no.1
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    • pp.127-143
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    • 2023
  • Currently, the domestic traditional market has not escaped the swamp of stagnation that began in the early 2000s despite various projects promoted by many related players such as the central government and local governments. In order to overcome the crisis faced by the traditional market, various R&Ds have recently been conducted on how to build a smart traditional market that combines information and communication technologies such as big data analysis, artificial intelligence, and the Internet of Things. This study analyzes various previous studies, users of traditional markets, and application cases of ICT technology in foreign traditional markets since 2012 and proposes a model to build a smart traditional market using ICT technology based on the analysis. The model proposed in this study includes building a traditional market metaverse that can interact with visitors, certifying visits to traditional markets through digital signage with NFC technology, improving accuracy of fire detection functions using IoT and AI technology, developing smartphone apps for market launch information and event notification, and an e-commerce system. If a smart traditional market platform is implemented and operated based on the smart traditional market platform model presented in this study, it will not only draw interest in the traditional market to MZ generation and foreigners, but also contribute to revitalizing the traditional market in the future.