• Title/Summary/Keyword: Smart-home

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Frequency characteristic analysis on acoustic emission of mortar using cement-based piezoelectric sensors

  • Lu, Youyuan;Li, Zongjin
    • Smart Structures and Systems
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    • v.8 no.3
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    • pp.321-341
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    • 2011
  • Acoustic emission (AE) monitoring was conducted for mortar specimens under three types of static loading patterns (cubic-splitting, direct-shear and pull-out). Each of the applied loading patterns was expected to produce a particular fracture process. Subsequently, the AEs generated by various fracture or damage processes carried specific information on temporal micro-crack behaviors of concrete for post analysis, which was represented in the form of detected AE signal characteristics. Among various available characteristics of acquired AE signals, frequency content was of great interest. In this study, cement-based piezoelectric sensor (as AE transducer) and home-programmed DEcLIN monitoring system were utilized for AE monitoring on mortar. The cement-based piezoelectric sensor demonstrated enhanced sensitivity and broad frequency domain response range after being embedded into mortar specimens. This broad band characteristic of cement-based piezoelectric sensor in frequency domain response benefited the analysis of frequency content of AE. Various evaluation methods were introduced and employed to clarify the variation characteristics of AE frequency content in each test. It was found that the variation behaviors of AE frequency content exhibited a close relationship with the applied loading processes during the tests.

Outdoor Augmented Reality based 3D Model Visualization System of Cultural Heritage Sites (야외 증강현실 기반의 문화 유적지 3D 모델 시각화 시스템)

  • Han, Jong-Gil;Park, Kyoung-Wook;Ban, Kyeong-Jin;Kim, Eung-Kon
    • The Journal of the Korea institute of electronic communication sciences
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    • v.8 no.3
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    • pp.459-464
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    • 2013
  • Recently, at home and abroad cultural content industry has developed as the growing importance of history. Among them, the reconstruction contents area which combined with IT technology is attracting attention. Specially, using augmented reality technology, 3D visualization researches which restore contents of architectural heritage, cultural heritage sites, and artifacts have been performed in cultural content area. The existing cultural site restore contents are mostly made based on the images taken from indoor. In this paper, efficiently visualize the restore contents in indoor, but outdoors is limited. This theses presents the cultural heritage sites 3D model visualization system using augmented reality in outdoor. Proposed system augments 3D model to cultural heritage site in outdoor by using Smart Phone.

Proposed Assessment for Quality of Experience of Live IPTV in Home Environments

  • Jeong, Jongpil;Choi, Jae-Young
    • International journal of advanced smart convergence
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    • v.4 no.1
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    • pp.18-30
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    • 2015
  • As the speed of networks that subscribers can use has greatly increased, demand for high-quality broadcast content, such as from Internet Protocol Television (IPTV) and Video on Demand (VoD), is likewise increasing. Therefore, while broadcasters are increasing content and channels, they are striving to improve consumer quality of experience (QoE) to differentiate themselves from competitors, including by producing higher physical-quality content. Recently, subjective measurement methods have been internationally standardized as the most reliable approach for measuring and evaluating IPTV QoE. However, a majority of these methods are performed in experimental environments and are based on the extremely brief viewing period of approximately ten seconds using original reference videos. It is actually difficult to apply standard evaluation methods based on a ten-second viewing interval to assess real broadcast watching of IPTV or other services that involve a longer time (i.e., more than thirty minutes). In this paper, we therefore propose a method that accommodates actual viewing environments. Using the mean opinion score, we experimentally analyze the effects of evaluation interval changes under actual conditions in which IPTV service is provided. In addition, we propose improvements by applying the results into actual live broadcast IPTV service and by analyzing consumer service QoE.

A Study on the Expert System for Food Wastes Reduction using MFA (물질흐름분석(MFA)을 활용한 주방 음식물쓰레기 저감 전문가시스템)

  • Kim, Kwang-Man
    • Journal of the Korea Safety Management & Science
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    • v.15 no.4
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    • pp.245-251
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    • 2013
  • In this paper, the expert system to reduce the amount of food waste is proposed. The method of material flow analysis (MFA) is applied. Proper handling of waste beyond the terms of the need for proactive research been mentioned before, but actually cause the waste generator research focuses on consumer behavior and the business community to analyze the flow of materials within the study are insufficient. In this paper, the type of food consumption and food waste, look at the relationship between the occurrence of secondary schools in the diet is provided for students to examine the preferences of the target model diet expert system was reconfigured. Preference for leaving the food in the diet leads to the important information that is Each diet recipes that make up the target material flow analysis (MFA) was constructed to perform all the database. This database is currently being generated from the rain while cooking diet edible plants and materials to reflect the self-esteem following the recommended diet is used to create. Reducing food waste is actually being used currently in research knowledge to the knowledge base was constructed. Future Home Smart System was developed in conjunction with the system to the user, by providing guidelines for the utilization can be expected.

User Profile Management for Personalized Services in smart home environment (스마트 홈 환경에서의 개인화된 서비스를 위한 사용자 프로파일 관리 기법)

  • Suh, Young-Jung;Woo, Woon-Tack
    • 한국HCI학회:학술대회논문집
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    • 2006.02a
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    • pp.672-677
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    • 2006
  • 유비쿼터스 컴퓨팅 환경에서 상황 인지 서비스 제공을 위한 프레임워크들은 환경에 있는 응용 서비스들로 하여금 사용자 행동 패턴을 지속적으로 모니터링하며, 하나의 중앙집중식 서버에서 축적된 사용자 프로파일을 관리하도록 개발되어 왔다. 그러나, 전체 환경이 사용자 개개인의 서비스에 대한 요구 및 선호도를 파악하고 관리하는 일은 비효율적이다. 그리하여, 사용자 프로파일 관리 서버를 사용하지 않고 개인화된 서비스를 제공하기 위하여 휴대용 정보 단말기가 직접 사용자의 서비스에 대한 선호도를 인식하고 관리하는 사용자 프로파일 관리 프레임워크를 제안한다. 스마트 홈 환경의 이동형 사용자의 컨텍스트 인식을 위해서는 사용자 몸에 부착되어 있는 센서들이 사용자에 대한 정보를 휴대용 정보 단말기로 전달하며, 각 정보 단말기는 다양한 센서들로부터 획득한 정보와 정보단말기를 통해 제공되는 사용자의 직접적인 요구정보를 서비스 목적에 맞게 재해석하여 사용자 선호도에 맞는 서비스 내용을 제공하도록 하는 것이다. 제안된 프레임워크는 휴대용 정보 단말기를 통해 사용자와 환경과의 상호작용을 필요로 하는 유비쿼터스 기술이 활용 가능한 다양한 어플리케이션에 광범위하게 활용될 수 있다. 더 나아가, 사용자의 사적인 정보 보호를 보장하면서 개인화된 서비스 제공을 가능하게 할 수 있다.

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A Study on the Performance of Energy-efficient System with Go-back-N ARQ Protocol in Wireless Home Network Environment (무선 홈 네트워크 환경에서 Go-back-N ARQ 프로토콜을 적용한 에너지 효율적인 시스템의 성능에 대한 연구)

  • Roh, Jae-Sung
    • Journal of Digital Contents Society
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    • v.9 no.1
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    • pp.1-6
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    • 2008
  • In traditional wireless communication systems the main power consumption is due to the actual transmissions power. Therefore, energy-constrained wireless networks have gained considerable research attention in recent years. Multiple-input-multiple-output (MIMO) structure, or multiple antenna communication is one of the techniques that has gain considerable importance in wireless systems and networks. In this paper, BER and throughput performance of MISO system with Go-back-N ARQ(Automatic Repeat Request) technique in wireless networks are analyzed and the energy consumption of MISO-based wireless networks is compared with conventional SISO-based wireless networks. Obtained results show the applicability of MISO system with Go-back-N ARQ technique in wireless networks with smart system design.

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Design of Virtual Reality content for supervising abusement

  • Kim, Minji;Lim, Chan
    • International journal of advanced smart convergence
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    • v.8 no.4
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    • pp.9-15
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    • 2019
  • The government has defined domestic violence as one of the four major social evils and tried to prepare laws and systems to prevent it. Nevertheless, domestic violence has emerged as a serious social issue, and compare to the number of domestic violence cases that are constantly increasing, the report rate of domestic violence is significantly lower. This suggests the need to improve citizens' perception of domestic violence as the issue to solve it together in society, not as a private matter at home. Most of existing contents for preventing domestic violence and improving awareness are simple viewing forms of video contents, which have little effect on recognition. We aim to confirm the possibility of improving social awareness about domestic violence by producing Virtual Reality (VR) contents that have great features of user's immersion and empathy. In this VR content, the user can interact with various objects in the virtual reality of domestic violence and directly or indirectly experience the victim's position. Users who view the violent environment from the victim's point of view can have a subjective empathy for the problem, which is expected to induce more active awareness about domestic violence.

Crime Prevention by Using CPTED and Improvement (CPTED를 활용한 범죄예방 및 개선방안)

  • Park, Kwang-Hyun
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2016.07a
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    • pp.157-159
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    • 2016
  • 최근 학교폭력 및 묻지마 범죄가 꾸준히 증가추세에 있다. 2011년 12월 학교폭력에 의한 대구중학생 자살사건, 2010년 2월 김길태 사건과 6월 김수철 사건, 2016년 5월 강남역 노래방 살인사건과 6월 섬마을 여교사 사건 등 사회적 약자인 소년, 여성 대상범죄 및 묻지마 범죄가 사회문제로 대두되고 있다. 이에 따라 범죄예방 도구이자 전략으로써 CPTED가 하나의 대안으로 부각되고 있다. 국토교통부는 건축물, 건축설비 및 대지에 관한 범죄예방 기준인 '범죄예방 건축기준 고시'를 2015년부터 시행하고 있는데 적용대상 건물 등은 이 기준에 따라 설계하고 건축해야 한다. 현대 위험사회에서 강력범죄 및 경범죄의 사전예방을 위해서는 사회 안전시스템 구축이 요구되며 그 대안으로 환경설계를 통해 범행기회를 심리적, 물리적으로 차단하는 정책을 모색함으로써 환경범죄학 입장에서 범죄예방에 접근할 필요가 있다.

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Depth Images-based Human Detection, Tracking and Activity Recognition Using Spatiotemporal Features and Modified HMM

  • Kamal, Shaharyar;Jalal, Ahmad;Kim, Daijin
    • Journal of Electrical Engineering and Technology
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    • v.11 no.6
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    • pp.1857-1862
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    • 2016
  • Human activity recognition using depth information is an emerging and challenging technology in computer vision due to its considerable attention by many practical applications such as smart home/office system, personal health care and 3D video games. This paper presents a novel framework of 3D human body detection, tracking and recognition from depth video sequences using spatiotemporal features and modified HMM. To detect human silhouette, raw depth data is examined to extract human silhouette by considering spatial continuity and constraints of human motion information. While, frame differentiation is used to track human movements. Features extraction mechanism consists of spatial depth shape features and temporal joints features are used to improve classification performance. Both of these features are fused together to recognize different activities using the modified hidden Markov model (M-HMM). The proposed approach is evaluated on two challenging depth video datasets. Moreover, our system has significant abilities to handle subject's body parts rotation and body parts missing which provide major contributions in human activity recognition.

One Time Password-Based SEED Algorithm for IoT Systems (IoT 시스템을 위한 시간 동기화 방식 기반 SEED 알고리즘)

  • Lee, Sung-Won;Park, Seung-Min;Sim, Kwee-Bo
    • Journal of Institute of Control, Robotics and Systems
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    • v.22 no.9
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    • pp.766-772
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    • 2016
  • Recent advances in networking and computers, especially internet of things (IoT) technologies, have improved the quality of home life and industrial sites. However, the security vulnerability of IoT technologies causes life-threatening issues and information leakage concerns. Studies regarding security algorithms are being conducted. In this paper, we proposed SEED algorithms based on one time passwords (OTPs). The specified server sent time data to the client every 10 seconds. The client changed the security key using time data and generated a ciphertext by combining the changed security key and the matrix. We applied the SEED algorithms with enhanced security to Linux-based embedded boards and android smart phones, then conducted a door lock control experiment (door lock & unlock). In this process, the power consumed for decryption was measured. The power consumption of the OTP-based algorithm was measured as 0.405-0.465W. The OTP-based algorithm didn't show any difference from the existing SEED algorithms, but showed a better performance than the existing algorithms.