• 제목/요약/키워드: Smart Home

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스마트 홈(Smart Home) 앱 디자인의 사용성 평가를 위한 평가지표 개발 (Development of Evaluation Indicators for the Usability Evaluation of Smart Home App Design)

  • 이만;김맹호
    • 한국콘텐츠학회논문지
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    • 제19권5호
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    • pp.249-258
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    • 2019
  • 현재는 스마트 홈 사업에 대한 사람들의 관심이 증가하고 있다. 따라서 스마트 홈 시스템에 대하여 연구가 중요해지고 있다. 스마트 홈 시스템에서 중요한 구성 부분인 스마트 홈 앱은 지속적으로 관심을 위해서는 사용성을 고려한 평가지표 개발이 중요하다. 이에 본 논문은 스마트 홈 앱을 대상으로 스마트 홈 앱 디자인의 사용성 평가지표 개발하고자 하는데 있다. 본 연구를 위하여 델파이 기법을 이용하여 3차에 걸쳐 조사를 실시하였다. 1차 조사에서는 문헌고찰을 통해 도출된 평가 영역에 대한 전문가들의 의견을 수렴하고 내용타당도 비율(CVR) 값을 분석하여 적절한 영역 8개를 선정하였다. 1차 조사 결과를 바탕으로 국내외 선행연구와 사용자 인터뷰 조사를 통해 총 38개 평가 항목을 수집하였다. 수집된 38개 평가 항목은 2, 3차에서 평균(M), 표준편차(SD), 내용타당도 비율(CVR), 합의도(H), 수렴도(QD) 등을 분석하고 최종 8개 영역 하위에 포함된 27개 항목을 선정되었다. 본 연구 결과는 스마트 홈 앱 디자인의 사용성 평가 시 가이드라인으로 활용될 수 있다.

스마트홈 서비스 환경에서의 보안 위험 분석을 위한 위협 모델링 적용 방안 (Application of Threat Modeling for Security Risk Analysis in Smart Home Service Environment)

  • 이윤환;박상건
    • 전기학회논문지P
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    • 제66권2호
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    • pp.76-81
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    • 2017
  • In this paper, the risk analysis of smart home services was implemented by applying threat modeling. Identified possible threats for safe deployment of smart home services and identified threats through the STRIDE model. Through the creation of the Attack Tree, the attackable risk was analyzed and the risk was measured by applying the DREAD model. The derived results can be used to protect assets and mitigate risk by preventing security vulnerabilities from compromising and identifying threats from adversely affecting services. In addition, the modeled result of the derived threat can be utilized as a basis for performing the security check of the smart home service.

Smart Home Healthcare Device based on Ubiquitous Communication

  • Kim, Keun-Young;Cha, Joo-Hun;Park, Mig-Non
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 2003년도 ICCAS
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    • pp.2235-2239
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    • 2003
  • The aim of this research is to study and develop enabling technologies for home healthcare device with ubiquitous network. The motivation of this paper is to enable healthcare in home, to development the device for smart home health care. To achieve the aim, we must develop the prototype platform based on home gateways, distributed context user interface based on UPnP and support for information sharing with high speed power line communication and mobile infra-structures. And IPv6 is the base technology of this platform. In this paper, we concern that physical health, mental health and medical emergencies is all of home healthcare. With the smart device, we evaluate the connectivity, automatic information extraction and private data exchange and event driven message. The result of this paper is demonstration of smart device for ubiquitous communication in a healthcare application such as patient monitoring device and several information services. In conclusion, home healthcare will support more healthy and easy living for a human.

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Home Energy Management System for Residential Customer: Present Status and Limitation

  • Lee, Sunguk;Park, Byungjoo
    • International Journal of Advanced Culture Technology
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    • 제6권4호
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    • pp.284-291
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    • 2018
  • As environmental pollution has become worse green technologies to replace or reduce consumption of fossil fuel get spotlight from government, industry and academia globally. It is reported that 40% of carbon dioxide emission is caused by electricity power generation. And 37% of end user electricity power is used by residential costumer in US. Smart Grid is considered as one of promising technology to alleviate severe environmental problem. In residential environment, Home Energy Management System (HEMS) can play a key role for green smart home. The HEMS can give several benefits like aslowering electric utility bill, improvement of efficiency of electric power consumption and integration of generator using renewable energy resources. However just limited functions of HEMS can be used for residential customer in real life because of lack of smart function in home appliances and optimal managing software for HEMS. This study provides comprehensive analysis for Home Energy Management System for residential customer. Simple HEMS system with real products on the market are explained and limitation of current HEMS are also discussed.

U-City 주거 환경 서비스의 사용자 가치 분석 : 스마트 홈을 중심으로 (User Requirement Elicitation for U-City Residential Environment : Concentrated on Smart Home Service)

  • 김향숙;김효창;지용구
    • 한국전자거래학회지
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    • 제20권1호
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    • pp.167-182
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    • 2015
  • 고령자, 장애인의 삶의 질을 유지시키기 위한 방법 중 하나로 주목받고 있는 미래의 주거 형태인 스마트 홈은 인간 생활 전반을 지원하기 위한 다양한 기능적 공간이 융합된 곳으로서, 삶의 질에 크게 영향을 끼칠 잠재력을 가진 공간이다. 따라서 삶의 공간에서 만족도를 높이기 위해 사용자의 실제 니즈를 반영하는 것이 매우 중요하며, 스마트 홈 내의 사용자 가치에 대한 연구는 활발히 이루어져 왔다. 그러나 광범위한 스마트 홈 서비스를 명확히 분류하고 서비스 특성에 따라 요구되는 사용자 가치를 제시한 연구는 아직 부족한 실정이다. 이에 본 연구는 스마트 홈 서비스를 사용자 관점에서 분류하고, 서비스의 특성에 따라 요구되는 사용자 가치를 규명하는 것을 목적으로 하였다. 이를 위해 문헌 연구를 통하여 사용자 중심적 관점에서 스마트 홈을 정의하고 이를 토대로 스마트 홈의 기능 및 서비스 분류 체계를 수립하였다. 또한 스마트 홈 서비스의 기술, 서비스 영역에서의 사용자 요구가치를 도출하고, 앞서 수립된 서비스 분류 체계와의 연관관계를 도출하였다. 본 연구를 통해 추후 스마트 홈 서비스 개발에 있어서 사용자에 대한 더 깊은 이해가 가능하도록 도울 수 있다는 의의가 있다.

조건부가치측정법을 이용한 스마트 홈 서비스의 지불의사액 추정 (Estimation of Willingness to Pay for Smart Home Service by Contingent Valuation Method)

  • 김용희;임성은;최정일
    • 품질경영학회지
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    • 제44권4호
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    • pp.833-843
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    • 2016
  • Purpose: The purpose of this study is to evaluate the value of smart home service using contingent valuation method that is the method evaluating the value of service which will be provided in the future. Using this method, this study suggests proper price and market value of smart home service through figuring out customer's willingness to pay. Methods: To estimate willingness to pay for smart home service, this study uses double bounded dichotomous choice question. The survey was conducted for 2 months from December in 2015 to February in 2016. A total of 269 copies were used to estimate through R-programming. Results: The results of this study are as follows; Gender(especially woman), income, proposed price are the factors which affecting willingness to pay. As the result of this study, average price of willingness to pay for smart home service estimates as \29,653. Comparing with high-speed internet bundling service fee, this estimated price for smart home service is appropriate level for customers to accept. Conclusion: This study estimates consumer's willingness to pay for smart home service which is in the market entry stage. In corporate side, this study might be meaningful for estimating investment scale and profit. Also it could provide basis for establishing strategic policy to develop smart home service market in government side.

스마트 홈의 위험수준별 침입 트래픽 분석을 사용한 침입대응 기법에 대한 연구 (A Study on Intrusion Detection Techniques using Risk Level Analysis of Smart Home's Intrusion Traffic)

  • 강연이;김황래
    • 한국산학기술학회논문지
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    • 제12권7호
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    • pp.3191-3196
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    • 2011
  • 스마트 홈 시스템은 주거 생활의 편리함을 위해 새롭게 신축되는 건물에 대부분 설치되고 있다. 그러나, 스마트 홈 시스템이 보편화되고, 확산 속도가 빨라짐에 따라 해커들의 홈 네트워크 시스템 공격이 증가할 것으로 예상된다. 본 논문에서는, 스마트 홈의 위험수준별 침입 대응을 하기 위해 유선 네트워크와 무선 네트워크에서 발생한 침입 사례와 공격이 발생할 수 있는 가상 상황을 시나리오로 만들어 데이터베이스로 구축하였다. 이것을 기반으로 보안에 취약한 스마트 홈 사용자들에게 실시간으로 불법 침입 트래픽을 찾아내 침입 사실을 알려주고 공격을 차단하는 침입대응 알고리즘을 설계하였다.

ESTIMATING HUMAN LOCATION AND MOTION USING CAMERAS IN SMART HOME

  • Nguyen, Quoc Cuong;Shin, Dong-Il;Shin, Dong-Kyoo
    • 한국방송∙미디어공학회:학술대회논문집
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    • 한국방송공학회 2009년도 IWAIT
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    • pp.311-315
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    • 2009
  • The ubiquitous smart home is the home of future that takes advantage of context information from user and home environment and provides automatic home services for the user. User's location and motion are the most important contexts in the ubiquitous smart home. This paper presents a method positioning user's location using four cameras and some home context parameter together with user preferences provided. Some geometry math problems would be raised to figure out approximately which area is monitored by cameras. The moving object is detected within the image frames and then simulated in a 2D window to present visually where user is located and show his moving. The moving ways are statistically recorded and used for predicting user's future moving.

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Vulnerability Analysis Model for IoT Smart Home Camera

  • Aljahdali, Asia Othman;Alsaidi, Nawal;Alsafri, Maram
    • International Journal of Computer Science & Network Security
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    • 제22권7호
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    • pp.229-239
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    • 2022
  • Today's Internet of Things (IoT) has had a dramatic increase in the use of various daily aspects. As a consequence, many homes adopt IoT technology to move towards the smart home. So, the home can be called smart when it has a range of smart devices that are united into one network, such as cameras, sensors, etc. While IoT smart home devices bring numerous benefits to human life, there are many security concerns associated with these devices. These security concerns, such as user privacy, can result in an insecure application. In this research, we focused on analyzing the vulnerabilities of IoT smart home cameras. This will be done by designing a new model that follows the STRIDE approach to identify these threats in order to afford an efficient and secure IoT device. Then, apply a number of test cases on a smart home camera in order to verify the usage of the proposed model. Lastly, we present a scheme for mitigation techniques to prevent any vulnerabilities that might occur in IoT devices.

FCM 이산화를 이용한 스마트 홈에서 행동 모델링 (Intelligent Modeling of User Behavior based on FCM Quantization for Smart home)

  • 정우용;이제헌;윤숙현;조영완;김은태
    • 제어로봇시스템학회논문지
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    • 제13권6호
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    • pp.542-546
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    • 2007
  • In the vision of ubiquitous computing environment, smart objects would communicate each other and provide many kinds of information about user and their surroundings in the home. This information enables smart objects to recognize context and to provide active and convenient services to the customers. However in most cases, context-aware services are available only with expert systems. In this paper, we present generalized activity recognition application in the smart home based on a naive Bayesian network(BN) and fuzzy clustering. We quantize continuous sensor data with fuzzy c-means clustering to simplify and reduce BN's conditional probability table size. And we apply mutual information to learn the BN structure efficiently. We show that this system can recognize user activities about 80% accuracy in the web based virtual smart home.