• Title/Summary/Keyword: IoT service

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Optimal Operational Plan of AGV and AMR in Fulfillment Centers using Simulation (시뮬레이션 기반 풀필먼트센터 최적 AGV 및 AMR 운영 계획 수립)

  • JunHyuk Choi;KwangSup Shin
    • The Journal of Bigdata
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    • v.6 no.2
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    • pp.17-28
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    • 2021
  • Current development of technologies related to 4th industrial revolution and the pandemic of COVID-19 lead the rapid expansion of e-marketplace. The level of competition among several companies gets increased by introducing different strategies. To cope with the current change in the market and satisfy the customers who request the better delivery service, the new concept, fulfillment, has been introduced. It makes the leadtime of process from order picking to delivery reduced and the efficiency improved. Still, the efficiency of operation in fulfillment centers constrains the service level of the entire delivery process. In order to solve this problem, several different approaches for demand forecasting and coordinating supplies using Bigdata, IoT and AI, which there exists the trivial limitations. Because it requires the most lead time for operation and leads the inefficiency the process from picking to packing the ordered items, the logistics service providers should try to automate this procedure. In this research, it has been proposed to develop the efficient plans to automate the process to move the ordered items from the location where it stores to stage for packing using AGV and AMR. The efficiency of automated devices depends on the number of items and total number of devices based on the demand. Therefore, the result of simulation based on several different scenarios has been analyzed. From the result of simulation, it is possible to identify the several factors which should be concerned for introducing the automated devices in the fulfillment centers. Also, it can be referred to make the optimal decisions based on the efficiency metrics.

Acoustic Event Detection and Matlab/Simulink Interoperation for Individualized Things-Human Interaction (사물-사람 간 개인화된 상호작용을 위한 음향신호 이벤트 감지 및 Matlab/Simulink 연동환경)

  • Lee, Sanghyun;Kim, Tag Gon;Cho, Jeonghun;Park, Daejin
    • IEMEK Journal of Embedded Systems and Applications
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    • v.10 no.4
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    • pp.189-198
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    • 2015
  • Most IoT-related approaches have tried to establish the relation by connecting the network between things. The proposed research will present how the pervasive interaction of eco-system formed by touching the objects between humans and things can be recognized on purpose. By collecting and sharing the detected patterns among all kinds of things, we can construct the environment which enables individualized interactions of different objects. To perform the aforementioned, we are going to utilize technical procedures such as event-driven signal processing, pattern matching for signal recognition, and hardware in the loop simulation. We will also aim to implement the prototype of sensor processor based on Arduino MCU, which can be integrated with system using Arduino-Matlab/Simulink hybrid-interoperation environment. In the experiment, we use piezo transducer to detect the vibration or vibrates the surface using acoustic wave, which has specific frequency spectrum and individualized signal shape in terms of time axis. The signal distortion in time and frequency domain is recorded into memory tracer within sensor processor to extract the meaningful pattern by comparing the stored with lookup table(LUT). In this paper, we will contribute the initial prototypes for the acoustic touch processor by using off-the-shelf MCU and the integrated framework based on Matlab/Simulink model to provide the individualization of the touch-sensing for the user on purpose.

A HMD VR data transmission solution by using strip LED attached Window Signage

  • Kim, Seung-Kyun;Woo, Deok-Gun;Park, Young-Ki;Im, Sang-Il;Timur, Khudaybergenov;Ku, Kyung-Hwan;Cha, Jae-Sang
    • International Journal of Internet, Broadcasting and Communication
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    • v.12 no.4
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    • pp.11-17
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    • 2020
  • This paper proposed the design of a new window signage system architecture, which utilized a window of a building, with attached LED for visible light communication. In this paper, the proposed method using the LED strip to transmit light data and receive the data through a HMD with a smart device camera. The LED strip attached to the existing building window, as a part of semi-transparent signage. Semi-transparent signage based on a controllable LED strip-modules and attached to the window used to provide entertainment contents and the information service to people through optical camera communication (OCC) as well. Also, this work suggests using the camera supplied Head Mounted Device (HMD) as an OCC receiver. The LED attached window signage system structure described in this paper can be utilized in various buildings infrastructure like house, shopping areas, industrial building, etc.

User Task Management System based on Device Priority (기기 우선순위 기반 사용자 작업관리 시스템)

  • Jang, Kiman;Jeong, Dohyeong;Jung, Hoekyung
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.21 no.3
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    • pp.657-662
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    • 2017
  • Recently, according to the development of the smart home field, it provides a service to install and keep the smart home appliance in a user's residential environment pleasantly. However, the conventional system method has a problem in that it is not convenient because the user selects a device or manually operates the device. In this paper, we propose a system to set the priority of the devices selected by the user and proceed with the work. When a user selects a device, it recommends a device associated with the device. Compare and set the priority of each device. And it is a system that carries out work according to the set priority. Therefore the proposed system is expected to provide users with increased convenience and efficiency of work management.

Implementation of a pet product recommendation system using big data (빅 데이터를 활용한 애완동물 상품 추천 시스템 구현)

  • Kim, Sam-Taek
    • Journal of the Korea Convergence Society
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    • v.11 no.11
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    • pp.19-24
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    • 2020
  • Recently, due to the rapid increase of pets, there is a need for an integrated pet-related personalized product recommendation service such as feed recommendation using a health status check of pets and various collected data. This paper implements a product recommendation system that can perform various personalized services such as collection, pre-processing, analysis, and management of pet-related data using big data. First, the sensor information worn by pets, customer purchase patterns, and SNS information are collected and stored in a database, and a platform capable of customized personalized recommendation services such as feed production and pet health management is implemented using statistical analysis. The platform can provide information to customers by outputting similarity product information about the product to be analyzed and information, and finally outputting the result of recommendation analysis.

Group Key Generation and Exchange Scheme using a Trapdoor Collision Hash in M2M Communications Environment (M2M 통신 환경에서 트랩도어 충돌 해쉬를 이용한 그룹키 생성 및 교환 기법)

  • Kim, Sung-Soo;Jun, Moon-Seog;Choi, Do-Hyeon
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.15 no.5
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    • pp.9-17
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    • 2015
  • The development of wireless communication technology and change in the ICT market has led to the development of the M2M service and technology. Under these circumstances, the M2M environment has been the focus of communication environment construction between machines without control or direct intervention of human being. With characteristics of wireless communication environment, the possibility of being exposed to numerous security threats and safe communication security technology have becoming an issue an important requirements for problems such as data exposure, forgery, modulation, deletion, and privacy. This research analyzes requirements of trapdoor collision hash, generates keys between groups under the M2M environment by using the specificity of trapdoor, and suggests technology to exchange keys with session keys. Further, it also suggests techniques to confirm authentication of device and gateway in accordance with group key generation. The techniques herein suggested are confirmed as safe methods in that they have attack resistance such as Masquerade Attack, Man-in-the-Middle Attack, and Replay Attack in the group communication block by using the speciality of collision message and collision hash.

A Study on the Regulation Improvement Measures for Activation of Internet of Things and Big Data Convergence (사물 인터넷과 빅데이터 융복합 활성화를 위한 규제 개선 방안에 관한 연구)

  • Kim, Ki-Bong;Cho, Han-Jin
    • Journal of the Korea Convergence Society
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    • v.8 no.5
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    • pp.29-35
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    • 2017
  • Korea has been showing a high interest in convergence centered on information and communication technologies for the past 10 years. However, with successful convergence of broadcasting and telecommunication sectors, successful convergence cases such as IPTV have been excluded. In some fields, The performance that citizens can experience is limited. In addition, the combination of the Internet of things and the big data shows that infinite data in the natural and social environment surrounding service users can be created and utilized to create better services. However, the division between departments and departments, And the limitations of policies and systems that can promote convergence of information and communication technologies. Therefore, in order to create new industries through the fusion of the Internet of things and big data, it is necessary to investigate what kind of inhibitory enzymes are present, to investigate the problems, to solve the problems, to develop technologies for activating the Internet and big data, And suggests ways to utilize the policy to promote convergence of related technologies.

Novel Optimal Controlling Algorithm for Real-time Integrated-control Smart Manufacturing System (실시간 통합제어를 위한 스마트 제조시스템의 새로운 최적화 알고리즘 설계)

  • Lee, Jooyeoun;Kim, Inyoung;Jeong, Taikyeong
    • Journal of Korea Society of Industrial Information Systems
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    • v.21 no.2
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    • pp.1-10
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    • 2016
  • In this paper, we consider the algorithms and numerical analysis for real-time integrated control system and resource management of large-scale manufacturing smart factory system. There various data transmitted on Cyber-Physical-System (CPS) is necessary to control in real time, as well as the terminal and the platform with respective system service. This will be a true smart manufacturing which consisting of existing research results, and a numerical analysis by the parameter-specific information. In this paper, Jacoby calculation to reflect the optimization algorithms that are newly proposed. It also presents a behavior that optimal operational algorithm on CPS which is adapted to the sensing data. In addition, we also verify the excellence of the real-time integrated control system through experimentation, by comparison with the existing research results.

Data anomaly detection and Data fusion based on Incremental Principal Component Analysis in Fog Computing

  • Yu, Xue-Yong;Guo, Xin-Hui
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.14 no.10
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    • pp.3989-4006
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    • 2020
  • The intelligent agriculture monitoring is based on the perception and analysis of environmental data, which enables the monitoring of the production environment and the control of environmental regulation equipment. As the scale of the application continues to expand, a large amount of data will be generated from the perception layer and uploaded to the cloud service, which will bring challenges of insufficient bandwidth and processing capacity. A fog-based offline and real-time hybrid data analysis architecture was proposed in this paper, which combines offline and real-time analysis to enable real-time data processing on resource-constrained IoT devices. Furthermore, we propose a data process-ing algorithm based on the incremental principal component analysis, which can achieve data dimensionality reduction and update of principal components. We also introduce the concept of Squared Prediction Error (SPE) value and realize the abnormal detection of data through the combination of SPE value and data fusion algorithm. To ensure the accuracy and effectiveness of the algorithm, we design a regular-SPE hybrid model update strategy, which enables the principal component to be updated on demand when data anomalies are found. In addition, this strategy can significantly reduce resource consumption growth due to the data analysis architectures. Practical datasets-based simulations have confirmed that the proposed algorithm can perform data fusion and exception processing in real-time on resource-constrained devices; Our model update strategy can reduce the overall system resource consumption while ensuring the accuracy of the algorithm.

Implementation of Visible Light Communication Transceiver of Mobile Devices for Location-Based Services (위치기반서비스 제공을 위한 휴대기기용 가시광통신 송수신기 구현)

  • Park, Sangil
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.42 no.4
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    • pp.889-891
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    • 2017
  • Visible light communication technology, which is a communication using LED lighting, is defined by IEEE 802.15.7 WG and active research is under way. Visible light communication is advantageous not only to avoid interference with existing RF communication but also to provide location based service through accurate positioning by utilizing LOS (Line of Sight) characteristic. Therefore, it is very easy and efficient to locate and track the user's location. In this paper, we implemented a visible light communication transceiver using USB interface for easy application to portable devices. It supports the mobility of mobile devices through internet protocol and showed BER performance of less than $10^{-3}dBm$ at over 1m, which is the height of lighting and smart device during walking.