• Title/Summary/Keyword: IoT sensor

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IEEE 802.15.4e TSCH-mode Scheduling in Wireless Communication Networks

  • Ines Hosni;Ourida Ben boubaker
    • International Journal of Computer Science & Network Security
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    • v.23 no.4
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    • pp.156-165
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    • 2023
  • IEEE 802.15.4e-TSCH is recognized as a wireless industrial sensor network standard used in IoT systems. To ensure both power savings and reliable communications, the TSCH standard uses techniques including channel hopping and bandwidth reserve. In TSCH mode, scheduling is crucial because it allows sensor nodes to select when data should be delivered or received. Because a wide range of applications may necessitate energy economy and transmission dependability, we present a distributed approach that uses a cluster tree topology to forecast scheduling requirements for the following slotframe, concentrating on the Poisson model. The proposed Optimized Minimal Scheduling Function (OMSF) is interested in the details of the scheduling time intervals, something that was not supported by the Minimal Scheduling Function (MSF) proposed by the 6TSCH group. Our contribution helps to deduce the number of cells needed in the following slotframe by reducing the number of negotiation operations between the pairs of nodes in each cluster to settle on a schedule. As a result, the cluster tree network's error rate, traffic load, latency, and queue size have all decreased.

A Study on the Implementation of Raspberry Pi Based Educational Smart Farm

  • Min-jeong Koo
    • International journal of advanced smart convergence
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    • v.12 no.4
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    • pp.458-463
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    • 2023
  • This study presents a paper on the implementation of a Raspberry Pi-based educational smart farm system. It confirms that in a real smart farm environment, the control of temperature, humidity, soil moisture, and light intensity can be smoothly managed. It also includes remote monitoring and control of sensor information through a web service. Additionally, information about intruders collected by the Pi camera is transmitted to the administrator. Although the cost of existing smart farms varies depending on the location, material, and type of installation, it costs 400 million won for polytunnel and 1.5 billion won for glass greenhouses when constructing 0.5ha (1,500 pyeong) on average. Nevertheless, among the problems of smart farms, there are lax locks, malfunctions to automation, and errors in smart farm sensors (power problems, etc.). We believe that this study can protect crops at low cost if it is complementarily used to improve the security and reliability of expensive smart farms. The cost of using this study is about 100,000 won, so it can be used inexpensively even when applied to the area. In addition, in the case of plant cultivators, cultivators with remote control functions are sold for more than 1 million won, so they can be used as low-cost plant cultivators.

A Study on the sustainability of Jeju Haenyeo, an UNESCO Intangible Cultural Heritage (제주해녀 인류무형문화유산 유지 방안 연구)

  • Yoo, Jaeho;Jung, Yeon Kye
    • Proceedings of the Korea Information Processing Society Conference
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    • 2017.04a
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    • pp.1228-1231
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    • 2017
  • The development of ICT brings the change in daily life and the digitized data are increasing in usage. The combination between GPS and internet results in extensive diffusion of space related information by way of smartphone, sensor and SNS. Jeju Island is only one special self-governing province in Republic of Korea and deserves to be proud of the unique culture, having those designated Intangible Cultural Heritage from UNESCO such as Culture of Jeju Haenyeo or Women Divers and Jeju Chilmeoridang Yeongdeunggut or Exorcism of Praying big Catch. In this paper, I suggest how to preserve fadable tradition economically and technically and expect to develop Haenyeo fitted portable sensors and IoT platform.

Airport Congestion Analysis with Big Data Analysis - The Case of Gimpo Airport - (빅데이터 분석을 활용한 공항 혼잡도 분석 - 김포공항 사례를 중심으로 -)

  • Kim, Jin Ah;Kim, Jin Ki
    • Journal of the Korean Society for Aviation and Aeronautics
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    • v.28 no.2
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    • pp.36-46
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    • 2020
  • This study is designed to help customers use more comfortable airports by predicting congestion and congestion times by identifying the traffic routes of passengers in the airport building by day of the week and time by using Wi-Fi sensor collectors, one of the IoT technologies. Analysis of passenger traffic analysis data showed that the most congested time zones were from noon. to 2p.m. for all facilities, which could be used to improve major facilities. Regression analysis of factors affecting congestion found that self-check-in reduces congestion and check-in counters increases congestion. These findings will provide important implications for operations, including congestion management at airports.

Recognition of Basic Motions for Snowboarding using AHRS

  • Kwon, Ki-Hyeon;Lee, Hyung-Bong
    • Journal of the Korea Society of Computer and Information
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    • v.21 no.3
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    • pp.83-89
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    • 2016
  • Internet of Things (IoT) is widely used for biomechanics in sports activities and AHRS(Attitude and Heading Reference System) is a more cost effective solution than conventional high-grade IMUs (Inertial Measurement Units) that only integrate gyroscopes. In this paper, we attach the AHRS to the snowboard to measure the motion data like Air To Fakie, Caballerial and Free Style. In order to reduce the measurement error, we have adopted the sensors equipped with Kalman filtering and also used Euler angle to quaternion conversion to reduce the Gimbal-lock effect. We have tested and evaluated the accuracy and execution time of the pattern recognition algorithms like PCA, ICA, LDA, SVM to show the recognition possibility of it on the basic motions of Snowboarding from the 9-axis trajectory information which is gathered from AHRS sensor. With the result, PCA, ICA have low accuracy, but SVM have good accuracy to use for recognition of basic motions of Snowboarding.

Reagent Cabinet Management System Using Danger Priority

  • Cao, Kerang;Kang, Inshik;Choi, Hyungwook;Jung, Hoekyung
    • Journal of information and communication convergence engineering
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    • v.15 no.4
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    • pp.227-231
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    • 2017
  • Recently, as the number of safety accidents caused by reagents increases, researches on a system that can reduce safety accidents are underway. Existing systems managed reagent cabinet through various sensors. On the other hand, there are disadvantages in that countermeasures against simultaneous danger situations are insufficient at multi-reagents cabinet. In order to solve this problem, this paper proposes a system to manage the reagents cabinet through danger priority. Danger priorities are selected through domestic chemical accident cases and the Chemical Safety Management Act. If a danger situation occurs in the reagent cabinet, make sure it is from a single or multiple reagent cabinets. For multiple reagent cabinets, compare the reagent cabinet priorities and run the device sequentially from the reagent cabinet with the highest priority. Thus, by operating the device according to the danger priority, the chain reaction can be prevented in advance and the reagent cabinet can be safely managed.

The Impact of Network Coding Cluster Size on Approximate Decoding Performance

  • Kwon, Minhae;Park, Hyunggon
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.10 no.3
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    • pp.1144-1158
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    • 2016
  • In this paper, delay-constrained data transmission is considered over error-prone networks. Network coding is deployed for efficient information exchange, and an approximate decoding approach is deployed to overcome potential all-or-nothing problems. Our focus is on determining the cluster size and its impact on approximate decoding performance. Decoding performance is quantified, and we show that performance is determined only by the number of packets. Moreover, the fundamental tradeoff between approximate decoding performance and data transfer rate improvement is analyzed; as the cluster size increases, the data transfer rate improves and decoding performance is degraded. This tradeoff can lead to an optimal cluster size of network coding-based networks that achieves the target decoding performance of applications. A set of experiment results confirms the analysis.

The Internet Information and Technology Research Directions based on the Fourth Industrial Revolution

  • Chung, Mihyun;Kim, Jaehyoun
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.10 no.3
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    • pp.1311-1320
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    • 2016
  • The fourth industrial revolution is currently proceeding and is expected to significantly affect the way individuals live and in result change the society in various aspects. The ICT-based convergence industries of the fourth industrial revolution contain various fields such as driverless cars, lighter and tougher materials, robotics, 3D printing and even biotechnology. This paper examines the researches done in fourth industrial revolution field based on the articles submitted to APIC-IST 2015. The topics from articles related to the fourth industrial revolution were categorized based on the keyword frequency of main issues. Results suggested that IoT and Wireless sensor network related researches were among the fields that the most researches were done in it and topics like nanotechnology, biotechnology, driverless cars, sharing economy and 3D printing were not mentioned at all. This paper also suggests necessary contents in the fourth industrial revolution to be focused on for further research in this field.

Area-Optimized Multi-Standard AES-CCM Security Engine for IEEE 802.15.4 / 802.15.6

  • Choi, Injun;Kim, Ji-Hoon
    • JSTS:Journal of Semiconductor Technology and Science
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    • v.16 no.3
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    • pp.293-299
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    • 2016
  • Recently, as IoT (Internet of Things) becomes more important, low cost implementation of sensor nodes also becomes critical issues for two well-known standards, IEEE 802.15.4 and IEEE 802.15.6 which stands for WPAN (Wireless Personal Area Network) and WBAN (Wireless Body Area Network), respectively. This paper presents the area-optimized AES-CCM (Advanced Encryption Standard - Counter with CBC-MAC) hardware security engine which can support both IEEE 802.15.4 and IEEE 802.15.6 standards. First, for the low cost design, we propose the 8-bit AES encryption core with the S-box that consists of fully combinational logic based on composite field arithmetic. We also exploit the toggle method to reduce the complexity of design further by reusing the AES core for performing two operation mode of AES-CCM. The implementation results show that the total gate count of proposed AES-CCM security engine can be reduced by up to 42.5% compared to the conventional design.

Time Synchronization Method for Sensor Device Based on Low Power Consumption (저전력 센서 장치의 시간동기화 방법)

  • Kang, Sunghwan;Kim, Jongsun;Eom, Junyoung
    • Proceedings of the Korea Information Processing Society Conference
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    • 2016.04a
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    • pp.903-906
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    • 2016
  • 최근 사물인터넷(IoT, Internet of Things)관련 기술의 발전 및 서비스 산업의 급속한 발전으로 센서 장치에 대한 수요가 증가하고 있다. 센서 장치는 사물인터넷 플랫폼과의 연동을 위한 통신 인터페이스를 필수로 지원하여야 하며, 그 외에 다양한 센서들의 연동 인터페이스와 소비 전력을 모두 고려하여 하드웨어 및 소프트웨어의 설계가 이루어져야 한다. 이와 같이 센서 장치는 베터리 소비를 최적화하여 모든 기능이 구현되어야 하므로 기능상의 제약이 많이 따른다. 시간 동기화를 위해 사물인터넷 플랫폼에서 송신하는 동기 메시지를 수신하기 위해 슬립모드를 지원하는 경우 센서 장치가 항상 깨어 있어야하므로 저전력으로 동작 할 수 없는 어려움이 따른다. 따라서 데이터를 센싱하는 주기에 맞춰 시간 동기화를 진행하는 프로토콜 및 지연 시간 계산 방안을 제시하고 이에 따른 기존 프로토콜들과 비교하여 경량화한 알고리즘을 제안한다. 향후 시간 동기화 프로토콜의 호환을 위해 CoAP 규격과 연동 될 수 있는 연구가 필요하다.