• Title/Summary/Keyword: User Application Information

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A Survey on Detecting Interactions among Different Devices/Apps in IoT (IoT 분야의 다양한 기기/앱 간 상호작용 검출에 관한 연구동향)

  • Yicheng Zhen;Yeonjoon Lee
    • Annual Conference of KIPS
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    • 2023.05a
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    • pp.101-103
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    • 2023
  • With the recent advances in communication technology and Internet of Things (IoT) infrastructure, home automation systems have emerged as a new paradigm for providing users with convenient smart home services. The IoT ecosystem has merged digital systems with the physical world, dramatically changing the way people live and work. However, at the same time, security remains one of the most significant research issues in IoT, as the deployment and application of high-availability systems come with various security risks that cause serious threats to users. Among them, the security issues arising from the interaction among devices/applications should not be underestimated. Attackers can exploit interactions among devices/applications to hack into the user's home. In this paper, we present a survey of research on detecting various types of interactions among devices/applications in IoT.

Special Topic: The Impact of ChatGPT in Society, Business, and Academia

  • Kyoung Jun Lee;Taeho Hong;Hyunchul Ahn;Taekyung Kim;Chulmo Koo
    • Asia pacific journal of information systems
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    • v.33 no.4
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    • pp.957-976
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    • 2023
  • ChatGPT has had a significant impact on society, business, and academia by influencing individuals and organizations through knowledge generation and supporting users in locating conversational inquiries and answers. It can transform how people seek answers by combining human-like conversational skills with AI. By eradicating the cumbersome process of selecting from multiple options, users can conduct preliminary research or create optimized solutions. The purpose of this research is to investigate how consumers use ChatGPT and digital transformation, specifically in terms of knowledge development, searching and recommending, and optimizing accessible possibilities. Using many linked theories, we address the potential implications and insights that can be gained from ChatGPT's early stages and its integration with other applications such as robotics, service automation, and the metaverse. Finally, the application of ChatGPT has practical, theoretical, and phenomenological impacts, in addition to improving users' experiences.

A Brief Survey into the Field of Automatic Image Dataset Generation through Web Scraping and Query Expansion

  • Bart Dikmans;Dongwann Kang
    • Journal of Information Processing Systems
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    • v.19 no.5
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    • pp.602-613
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    • 2023
  • High-quality image datasets are in high demand for various applications. With many online sources providing manually collected datasets, a persisting challenge is to fully automate the dataset collection process. In this study, we surveyed an automatic image dataset generation field through analyzing a collection of existing studies. Moreover, we examined fields that are closely related to automated dataset generation, such as query expansion, web scraping, and dataset quality. We assess how both noise and regional search engine differences can be addressed using an automated search query expansion focused on hypernyms, allowing for user-specific manual query expansion. Combining these aspects provides an outline of how a modern web scraping application can produce large-scale image datasets.

A Lifestyle-Routine Activity Theory (LRAT) Approach to Cybercrime Victimization: An Empirical Assessment of SNS Lifestyle Exposure Activities

  • Jihae Suh;Jiseon Choe;Jinsoo Park
    • Asia pacific journal of information systems
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    • v.30 no.1
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    • pp.53-71
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    • 2020
  • The Internet and all of its possibilities and applications have changed individuals' lifestyles in relation to socializing, working, and how they spend their leisure time. Social networking sites (SNSs), such as Facebook or Instagram, are ideal settings for interacting with others but, unfortunately, they are also ideal settings for motivated offenders to commit cybercrimes. Thus SNS users may be more vulnerable to cybercrime. The purpose of this study is to investigate the occurrence of cybercrime victimization, specifically cyber-harassment, cyber-impersonation, and hacking. Self-report surveys collected from a sample of 147 respondents were examined using the moderated multiple regression analysis and a logistic regression analysis to determine possible relationships between SNS lifestyle exposure activities and cybercrime victimization. The results indicate moderate support for the application of lifestyle-routine activity theory (LRAT) to cybercrime victimization. Possible educational and managerial implications, as well as suggestions for future research, are discussed.

COVID-19, Social Distancing and Social Media: Evidence from Twitter and Facebook Users in Korea

  • Jin Seon Choe;Jaecheol Park;Sojung Yoon
    • Asia pacific journal of information systems
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    • v.30 no.4
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    • pp.785-807
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    • 2020
  • The novel Coronavirus disease 2019 (COVID-19) is unprecedentedly changing the world since its outbreak in late 2019. Using the collected the data related to COVID-19 and the social media user data from a mobile application market research agency from January 25 to April 7, this study empirically examines the effect of the number of confirmed COVID-19 cases worldwide, the number news COVID-19, and the enforcement of social distancing measures on the daily active users (DAU) of two social media services - Twitter and Facebook - in South Korea. There are three important findings from the results of econometric analysis. First, the number of confirmed COVID-19 cases worldwide has a negative effect on the DAU of social media. Second, the number of COVID-19 news is negatively associated with the DAU of social media. Finally, the implementation of social distancing measures has no significant effect on the DAU of the social media. Theoretical implications and managerial guidelines are also discussed.

A Study on Testing Process Application About the Software for X-Forms base UI Development (X-Forms 기반 UI 개발 소프트웨어에 테스트 프로세스 적용을 위한 연구)

  • Lee, Seung-Hyuk
    • Annual Conference of KIPS
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    • 2007.11a
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    • pp.383-386
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    • 2007
  • X-Forms 기반의 웹 UI(User Interface)를 개발하는 소프트웨어는 개발이 완료되어 운영되는 과정에도 사용자의요구, 성능향상, 기능개선, 기능추가 등의 이유로 변경이 가능하다. 이러한 소프트웨어의 유지보수도 일반적인 요구사항명세, 분석, 설계, 구현의 개발 프로세스를 따른다. 본 논문에서는 UI 개발 소프트웨어의 유지보수 단계에서 효율적인 테스트를 하기 위해 V-모델을 확장, 변형한 테스트 프로세스 제안한다. 제안한 테스트 프로세스의 주요 활동은 요구사항분석을 통한 테스트 계획, 테스트 데이터를 식별하고 환경을 구축하는 분석과 설계, 테스트 케이스를 명세화하고 테스팅 방법론을 적용하는 구현과 실현, 리포팅과 산출물을 정리하는 테스트 마감 활동으로 진행한다. 웹 UI 개발 소프트웨어의 특징에 맡게 테스트 프로세스를 구축하고 실무에 적용하여 에러 검출률, 테스트 시간, 테스트 결과의 효율성을 높일 수 있는 방법을 제안한다.

Alleviating Semantic Term Mismatches in Korean Information Retrieval (한국어 정보 검색에서 의미적 용어 불일치 완화 방안)

  • Yun, Bo-Hyun;Park, Sung-Jin;Kang, Hyun-Kyu
    • The Transactions of the Korea Information Processing Society
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    • v.7 no.12
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    • pp.3874-3884
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    • 2000
  • An information retrieval system has to retrieve all and only documents which are relevant to a user query, even if index terms and query terms are not matched exactly. However, term mismatches between index terms and qucry terms have been a serious obstacle to the enhancement of retrieval performance. In this paper, we discuss automatic term normalization between words in text corpora and their application to a Korean information retrieval system. We perform two types of term normalizations to alleviate semantic term mismatches: equivalence class and co-occurrence cluster. First, transliterations, spelling errors, and synonyms are normalized into equivalence classes bv using contextual similarity. Second, context-based terms are normalized by using a combination of mutual information and word context to establish word similarities. Next, unsupervised clustering is done by using K-means algorithm and co-occurrence clusters are identified. In this paper, these normalized term products are used in the query expansion to alleviate semantic tem1 mismatches. In other words, we utilize two kinds of tcrm normalizations, equivalence class and co-occurrence cluster, to expand user's queries with new tcrms, in an attempt to make user's queries more comprehensive (adding transliterations) or more specific (adding spc'Cializationsl. For query expansion, we employ two complementary methods: term suggestion and term relevance feedback. The experimental results show that our proposed system can alleviatl' semantic term mismatches and can also provide the appropriate similarity measurements. As a result, we know that our system can improve the rctrieval efficiency of the information retrieval system.

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Proxy Based Application Digital Signature Validation System (프락시 기반 애플리케이션 전자서명 검증 시스템)

  • Kwon, Sangwan;Kim, Donguk;Lee, Kyoungwoo
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.27 no.4
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    • pp.743-751
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    • 2017
  • As smart phones are becoming popular, an operating system is being used at wearable devices, home appliances and smart TVs. A user is able to use various applications on devices with operating system, but there is an increased threat of hacker. Thus, the technology for detecting the forgery of applications is becoming more important on operating system. To detect the forgery of the application, a digital signature technology is used on the filed of application digital signature. According to W3C recommendation, the signing process of application digital signature must be performed at least twice, and the applications which are signed by the application digital signature have to be validated for all signature files when the application is installed in the operating system. Hence, the performance of the application digital signature validation system is closely related to the installer performance on the operating system. Existing validation system has performance degradation due to redundancy of integrity verification among application components. This research was conducted to improve the performance of the application digital signature validation system. The proposal of validation system which is applied proxy system shows a performance improvement compared to the existing verification system.

Effective Method to Change Multimedia Scene Configuration Information Using DOM Update (DOM update를 이용한 효율적인 멀티미디어 장면 구성 정보 변경 방안)

  • Kim, Kyuheon;Park, JungWook;Kim, Byungchul
    • Journal of Broadcast Engineering
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    • v.18 no.1
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    • pp.43-58
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    • 2013
  • Richmedia Service means that interactive media service can provide view with various multimedia elements(such as Video, Audio, Text) at same time. Various Multimedia elements can be serviced by Scene Description technology standards like BIFS(Binary Format for Scenes) and LASeR(Light Application Scene Representation). By providing Scene Component information, richmedia service is available to various multimedia services. so users is available to personalized services fitting temporal and spatial options. In conventional technology, when the scene is changed by user or service, mobile deletes the scene of configuration information and makes new scene of configuration information. this is a very inefficient way. In this paper, Propoesed that by using DOM(Document Object Model) method, to pass only the dynamic configuration part, changes scene method.

Hakeem: An Arabic Application Aimed to Teaching Children First Aid using Augmented Reality

  • Al-ajlan, Monirah;Altukhays, Wujud;Alyousef, Deema;Almansour, Aljawharah;Alsukayt, Layan;Alajlan, Halah
    • International Journal of Computer Science & Network Security
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    • v.22 no.5
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    • pp.368-374
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    • 2022
  • Children are by nature curious and enthusiastic about learning and love to explore and search for everything they see around them, but as a result of this exploration they may sometimes be exposed to dangerous situations ranging from falls to poisoning and suffocation. That is why when supporting a child's natural desire to explore the world and supporting his awareness of dangerous situations and good handling of them, helps him build a conscious scientific mind and enhance his curiosity in the natural world. It is not easy to imagine a difficult situation in which we or one of our family is in danger, unable to help ourselves or to help them in time, due to our complete ignorance of the rules of first aid. Hence the importance of learning first aid not only for the child but for the community and the world at large. "Hakeem" is an Arabic E-health educational application that aims to teach children from the age of six to eleven years first aid, in our belief that the seed of renaissance lies in the care and education of children, and the lack of Arabic content that aims to teach children first aid skills. The idea is to create a scenario in which the child is responsible for saving the person who will be in a dangerous situation using Augmented Reality (AR) technology, to increase engagement and interaction and provides a rich user experience, and according to the child's performance, he will get reward points. The game will have several levels: Beginner, Intermediate, and Hakeem, and based on the player's points he will get a title and move to the next level, and when he reaches the end, he will get the certificate.