• Title/Summary/Keyword: smart sensor network

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Implementation of Ubiquitous-Based Construction Site Management System (유비쿼터스 기반 건설현장 관리시스템의 구현)

  • Yeon, Sang-Ho;Lee, Young-Wook
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.13 no.2
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    • pp.239-244
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    • 2013
  • A ubiquitous-based construction site management system coupled with construction processing status of a 3-D spatial information and sensor network for construction site management is implemented. The service of such management system is able to save efforts and times to check the processing status of construction sites and more the related construction staff in charge can receive the real time information of construction field or the related information can be transmitted to the office where the construction staffs in charge are. Especially we can provide on a mobile smart phone of real time processing status at construction field and environmental information of such temperature, humidity, information of GPS, etc. which are able to affect the construction status. In addition, construction processing and design modification etc. as well as necessary informations are able to be helped and provided at any time and to any place.

A Study on contemporary space in Ubiquitous society - Focusing on Interactive space - (유비쿼터스 사회에서 나타나는 현대 공간에 관한 연구 - 인터렉티브 공간을 중심으로 -)

  • Koh, Gwi-Han
    • Korean Institute of Interior Design Journal
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    • v.21 no.3
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    • pp.50-57
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    • 2012
  • In Ubiquitous era. architecture is not the old building adapting ubiquitous technology. In order to take the role as new architectural paradigm in space, environment and technology, it has to develop technology continuously and experimental architecture at the same time. it must have co-evolution of architectural field and others through organic network. by that, the evolution of space will be in the way that combines space which is responded to human emotion and user-centric human-friendly. It will be the new paradigm of Ubiquitous digital space. Digital technology resulted in a change to a society as well as to the life of human and its way of thinking. Due to those changes, new terms or concepts come out and a new meaning is added to the conventional concepts. This aims to examine type of spatial contexts for interaction design experience. This study is performed through Literature research for theory by interactive space and case studies for construction elements to design. The range of case study is limited to interaction space in addition of interactive elements and user interface. And analysis conclusion is show the many type, First, Interactive space has special purpose for make a interaction by intelligent elements.(sensor, program, algorithm, New-technology) Second, Interactive space was cooperation with various professional for space purpose. Third. Interactive space is self-develop by algorithm, program, sensor network and that is harmonize with user. finally. Interaction space is show the temper elements about allness, metastatic, activeness, liquidity, relationship. That was written by ecological theory.

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Using the Android Communication Module and Sensor the Movement Method Output System of According to Accelerated (안드로이드 통신모듈 및 센서를 이용한 가속에 따른 이동방법 산출 시스템)

  • Park, Sung-Hyun;Jang, Ki-Man;Yuk, Jung-Soo;Huh, Tae-Sang;Jung, Hoe-Kyung
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2014.05a
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    • pp.672-674
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    • 2014
  • Mobile communication technology was one of the GPS technology, SmartPhone, Tablet PC is equipped with a GPS. So the user has a navigation, speed and his position to send and receive a variety of information. Therefore, in this paper, Mobile devices, GPS, Wi-Fi and mobile networks, and the communication module uses algorithms to analysis of acceleration and output, the user is currently using the system to find out the kind of transportation. This is the users who are using a particular transport unnecessary information and apply it to different areas do not think I will be able to.

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Artificial Intelligence-based Classification Scheme to improve Time Series Data Accuracy of IoT Sensors (IoT 센서의 시계열 데이터 정확도 향상을 위한 인공지능 기반 분류 기법)

  • Kim, Jin-Young;Sim, Isaac;Yoon, Sung-Hoon
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.21 no.4
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    • pp.57-62
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    • 2021
  • As the parallel computing capability for artificial intelligence improves, the field of artificial intelligence technology is expanding in various industries. In particular, artificial intelligence is being introduced to process data generated from IoT sensors that have enoumous data. However, the limitation exists when applying the AI techniques on IoT network because IoT has time series data, where the importance of data changes over time. In this paper, we propose time-weighted and user-state based artificial intelligence processing techniques to effectively process IoT sensor data. This technique aims to effectively classify IoT sensor data through a data pre-processing process that personalizes time series data and places a weight on the time series data before artificial intelligence learning and use status of personal data. Based on the research, it is possible to propose a method of applying artificial intelligence learning in various fields.

Structural health monitoring data anomaly detection by transformer enhanced densely connected neural networks

  • Jun, Li;Wupeng, Chen;Gao, Fan
    • Smart Structures and Systems
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    • v.30 no.6
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    • pp.613-626
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    • 2022
  • Guaranteeing the quality and integrity of structural health monitoring (SHM) data is very important for an effective assessment of structural condition. However, sensory system may malfunction due to sensor fault or harsh operational environment, resulting in multiple types of data anomaly existing in the measured data. Efficiently and automatically identifying anomalies from the vast amounts of measured data is significant for assessing the structural conditions and early warning for structural failure in SHM. The major challenges of current automated data anomaly detection methods are the imbalance of dataset categories. In terms of the feature of actual anomalous data, this paper proposes a data anomaly detection method based on data-level and deep learning technique for SHM of civil engineering structures. The proposed method consists of a data balancing phase to prepare a comprehensive training dataset based on data-level technique, and an anomaly detection phase based on a sophisticatedly designed network. The advanced densely connected convolutional network (DenseNet) and Transformer encoder are embedded in the specific network to facilitate extraction of both detail and global features of response data, and to establish the mapping between the highest level of abstractive features and data anomaly class. Numerical studies on a steel frame model are conducted to evaluate the performance and noise immunity of using the proposed network for data anomaly detection. The applicability of the proposed method for data anomaly classification is validated with the measured data of a practical supertall structure. The proposed method presents a remarkable performance on data anomaly detection, which reaches a 95.7% overall accuracy with practical engineering structural monitoring data, which demonstrates the effectiveness of data balancing and the robust classification capability of the proposed network.

A Study on Life-log Analysis and Monitoring System for Disabled Person Using Smart Media (스마트 미디어를 활용한 장애인 라이프 로그의 분석 및 모니터링 시스템에 관한 연구)

  • Hwang, Myong-Gu;Lee, Sang-Moon;Seo, Jeong-Min
    • Journal of the Korea Society of Computer and Information
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    • v.17 no.8
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    • pp.99-106
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    • 2012
  • In recent years, many researchers studies to promote the welfare of disabled people using IT technology. In particular, their suggestions are used a lot of mobile sensor installed on the street. These systems are acquired and to store the data sent to the server over the network, and by analyzing the users life log to judge of their risk state. In particular, persons with disabilities are exposed to various risks. So, they must need to the guardians if he go out. Thus, this study is a method for alleviating these so much pressure to smart appliances and impaired life log analysis system.

A Study on Workers' Risk-Aware Smart Bands System in Explosive Areas (폭발위험지역 근로자 위험 인지형 스마트밴드시스템에 대한 연구)

  • Lee, Byong-Kwon
    • Journal of Internet of Things and Convergence
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    • v.5 no.2
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    • pp.73-79
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    • 2019
  • Research is underway on services and systems that provide real-time alerts for suffocating gases and potentially explosive materials, but currently smart bend type services are lacking. This study supports real-time identification of explosion hazards due to static electricity in the workplace and immediate elimination of accident occurrence factors, real-time monitoring of worker status and workplace hazards (oxygen, hazardous chemical concentration), and immediate warning and data in case of danger. We propose a method of establishing an accident prevention system through analysis. In this way, various accidents that may occur in industrial sites are monitored using IoT-based intelligent sensor nodes, wireless network technology, data processing middleware, and integrated control system, and real-time risk information at the industrial sites is prevented and accidents are prevented. By supporting a safe working environment, the company can significantly reduce costs compared to post-procurement costs.

Smart Monitoring System to Improve Solar Power System Efficiency (태양광 발전시스템 효율향상을 위한 스마트 모니터링 시스템)

  • Yoon, Yongho
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.19 no.1
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    • pp.219-224
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    • 2019
  • The number of solar power installation companies including domestic small scale (50kW or less) is increasing rapidly, but the efficient operation system and management are insufficient. Therefore, a new type of operating system is needed as a maintenance management aspect to maximize the generation amount in the current state rather than the additional function which causes the increase of the generation cost. In this paper, we utilize Big Data and sensor network to maximize the operating efficiency of solar power plant and analyze the expert system to develop power generation prediction technology, module unit fault detection technology, life prediction of inverter components and report technology, maintenance optimization And to develop a smart monitoring system that enables optimal operation of photovoltaic power plants such as development of algorithms and economic analysis.

ZigBee Authentication Protocol with Enhanced User Convenience and Safety (사용자 편의성 및 안전성이 강화된 ZigBee 인증 프로토콜)

  • Ho-jei Yu;Chan-hee Kim;Sung-sik Im;Soo-hyun Oh
    • Convergence Security Journal
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    • v.22 no.1
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    • pp.81-92
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    • 2022
  • The rapidly growing IoT market is expanding not only in general households but also in smart homes and smart cities. Among the major protocols used in IoT, ZigBee accounts for more than 90% of the smart home's door lock market and is mainly used in miniaturized sensor devices, so the safety of the protocol is very important. However, the device using Zig Bee is not satisfied with the omnidirectional safety because it uses a fixed key during the authentication process that connects to the network, and it has not been resolved in the recently developed ZigBee 3.0. This paper proposes a design method that provides omnidirectional safety to the ZigBee authentication protocol and can be quickly applied to existing protocols. The proposed improved ZigBee authentication protocol analyzed and applied the recently developed OWE protocol to apply ECDH, which has low computational volume and provides omnidirectional safety in IoT. Based on this, it provides the safety of the ZigBee authentication protocol, and it is expected that it will be able to provide user convenience as it does not require a separate certificate or password input.

The Design and Implementation of User Authorization Module based on Zigbee for Automotive Smart-key System (차량용 스마트키 시스템을 위한 지그비 기반의 사용자 인증 모듈 설계 및 구현)

  • Kim, Kyeong-Seob;Lee, Yun-Seob;Yun, Hyun-Min;Choi, Sang-Bang
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.14 no.11
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    • pp.2442-2450
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    • 2010
  • Using sensor devices applied to various objects will be needed wireless network that it is easy to install in them. Tiny devices configured to processor that bas comparatively low computing ability are inappropriate to use devices that are wireless LAN, etc. In result, network devices needed to not only have simple communication protocol, but have Plug and Play function that it works as soon as it connects without installing any device driver. it also will industrially have both low power and low cost because of mobility of it. From IEEE 802.11 standard, WPAN(Wireless Personal Area Network) included in LAN is being developed by WPAN WG(Working Group) on area with low power consumption and low complexity. In addition to, it is standardizing MAC and PRY of the standard that is expected to wirelessly communicate within 10m. WPAN will be used generally in the more near future because of both low power and low cost of Zigbee. In this paper we designed zigbee based user authentication module for a automotive smart-key system.