• Title/Summary/Keyword: Smart IoT

Search Result 1,345, Processing Time 0.028 seconds

KOREN based Domestic and International Verification Test of Mass Abyss Storage (대용량 Abyss Storage의 KOREN 네트워크 기반 국내 및 해외 실증 테스트)

  • Cha, ByungRae;Cha, YoonSeok;Choi, MyeongSoo;Park, Sun;Kim, JongWon
    • Smart Media Journal
    • /
    • v.6 no.1
    • /
    • pp.9-15
    • /
    • 2017
  • The trends in ICT are concentrated in IoT, Bigdata, and Cloud Computing. These mega-trends do not operate independently, and mass storage technology is essential as large computing technology is needed in the background to support them. In order to evaluate the performance of high-capacity storage based on open source Ceph, we carry out the demonstration test of Abyss Storage with domestic and overseas sites using educational network KOREN. In addition, storage media and network bonding are tested to evaluate the performance of the storage itself. Although there is a substantial difference in aspect of the physical speed among storage medias, there is no significant performance difference in the storage media test performed. As a solution to this problem, we could get performance improvement through network acceleration. In addition, we conducted actual performance test of Abyss Storage internal and external network by connecting domestic and overseas sites using KOREN network.

BLE-OTP Authorization Mechanism for iBeacon Network Security (iBeacon 네트워크 보안을 위한 BLE-OTP 인증 메커니즘)

  • Jung, Hyunhee;Shin, Dongryeol;Cho, Kwangsu;Nam, Choonsung
    • Journal of KIISE
    • /
    • v.42 no.8
    • /
    • pp.979-989
    • /
    • 2015
  • Machine to Machine (M2M) technology has gained attention due to the fast diffusion of Internet of Things (IoT) technologies and smart devices. Most wireless network experts believe that Bluetooth Low Energy (BLE) Communications technology in an iBeacon network has amazing advantages in terms of providing communication services at a low cost in smartphone applications. Specifically, BLE does not require any pairing process during its communication phases, so it is possible to send a message to any node without incurring additional transmissions costs if they are within the BLE communication range. However, BLE does not require any security verification during communication, so it has weak security. Therefore, a security authorization process would be necessary to obtain customer confidence. To provide security functions for iBeacon, we think that the iBeacon Message Encryption process and a Decryption (Authorization) process should be designed and implemented. We therefore propose the BLE message Authorization Mechanism based on a One Time Password Algorithm (BLE-OTP). The effectiveness of our mechanism is evaluated by conducting a performance test on an attendance system based on BLE-OTP.

A More Storage-Efficient Order-Revealing Encryption Scheme (우수한 공간 효율성을 제공하는 순서노출암호 기법)

  • Kim, Kee Sung
    • Journal of the Korea Institute of Information Security & Cryptology
    • /
    • v.29 no.3
    • /
    • pp.503-509
    • /
    • 2019
  • Order-revealing encryption which enables a range query over encrypted data is attracting attention as one of the important security technologies in industry such as IoT, smart manufacturing, and cloud computing. In 2015, an ideally-secure order-revealing encryption whose ciphertexts reveal no additional information beyond the order of the underlying plaintexts has been proposed. However, their construction is too inefficient for practical use and some security analysis of multilinear maps, which their construction relies on, have been proposed. Recently, more practical schemes have been proposed, focusing on achieving practically usable efficiency rather than the ideal security. In this paper, we propose a more storage-efficient order-revealing encryption scheme than the Lewi et al.'s scheme most recently published by presenting an idea that can generate shorter ciphertexts without any security loss.

NFC antenna modeling and design for position information collecting of steel pallet for screw transfer (나사 이송용 철재 파렛트의 위치 정보 수집을 위한 NFC 안테나 모델링 및 설계)

  • Lee, Eun-kyu;Kim, Dong-wan;Lee, Sang-wan;Kim, Jae-joong
    • Journal of the Korea Institute of Information and Communication Engineering
    • /
    • v.22 no.12
    • /
    • pp.1675-1683
    • /
    • 2018
  • This paper is a study on modeling of an NFC antenna to be inserted into a steel pallet for conveying selected good products through a vision system to a threaded screw from CNC equipment. The CNC equipment used here incorporates the information communication technology (ICT) corresponding to the Internet of Things (IoT), and the smart factory system technology that produces information by exchanging information freely in two directions by connecting the POP corresponding to the service Internet is evolved Equipment. Therefore, it is possible to collect position information on the threaded workpiece by applying NFC antenna designed considering iron pallet used for material management so as to grasp estimated completion time and actual production amount according to production instruction from existing analog type equipment to POP monitoring system And investigated its characteristics.

Deep Learning Model Selection Platform for Object Detection (사물인식을 위한 딥러닝 모델 선정 플랫폼)

  • Lee, Hansol;Kim, Younggwan;Hong, Jiman
    • Smart Media Journal
    • /
    • v.8 no.2
    • /
    • pp.66-73
    • /
    • 2019
  • Recently, object recognition technology using computer vision has attracted attention as a technology to replace sensor-based object recognition technology. It is often difficult to commercialize sensor-based object recognition technology because such approach requires an expensive sensor. On the other hand, object recognition technology using computer vision may replace sensors with inexpensive cameras. Moreover, Real-time recognition is viable due to the growth of CNN, which is actively introduced into other fields such as IoT and autonomous vehicles. Because object recognition model applications demand expert knowledge on deep learning to select and learn the model, such method, however, is challenging for non-experts to use it. Therefore, in this paper, we analyze the structure of deep - learning - based object recognition models, and propose a platform that can automatically select a deep - running object recognition model based on a user 's desired condition. We also present the reason we need to select statistics-based object recognition model through conducted experiments on different models.

Multiple Access Capability of Digital IoT Doorlock System for Smart Building (스마트빌딩용 디지털 IoT 도어락 시스템의 다중접속 능력)

  • Lee, Sun-Yui;Sun, Young-Ghyu;Sim, Issac;Hwang, Yu-Min;Yoon, Sung-Hoon;Cha, Jae-Sang;Kim, Jin-Young
    • The Journal of the Institute of Internet, Broadcasting and Communication
    • /
    • v.18 no.6
    • /
    • pp.99-105
    • /
    • 2018
  • This paper proposes multiple access method for smart doorlock system using VLC(Visible Light Communication) with color grid modulation method. The proposed method is to connect multiple visible light signals using color grid modulation method in order to recognize and authenticate multiple users accessing doorlock. In order to enable visible light multiple access with existing infrastructure, the symbol energy interval of signal should be maximized. Thus, performance of system in VLC channel is measured by modulating symbols based on the proposed method. We confirm the actual channel test results of the modulated signal to implement doorlock system that recognizes the number of multiple access users.

Pseudo-BIPV Style Rooftop-Solar-Plant Implementation for Small Warehouse Case

  • Cha, Jaesang;Cho, Ju Phil
    • International journal of advanced smart convergence
    • /
    • v.11 no.3
    • /
    • pp.187-196
    • /
    • 2022
  • In this paper, we propose an example of designing and constructing a roof-type solar power plant structure equipped with a Pseudo-BIPV (Building-Integrated Photovoltaic) shape suitable for use as a roof of a small warehouse with a sandwich-type panel structure. As the characteristics of the roof-type solar power generation facility to be installed in the small warehouse proposed in this study, the shape of the roof is not a general A type, but a right-angled triangle shape with the slope is designed to face south. We chose a structure in which an inverter for one power plant and a control facility are linked by grouping several roofs of buildings. In addition, the height of the roof structure is less than 20 cm from the floor, and it has a shape similar to that of the BIPV, so it is building-friendly because it is almost in close contact with the roof. At the same time, the roof creates a reflective light source due to the white color. By linking this roof with a double-sided solar panel, we designed it to obtain both the advantage of the roof-friendliness and the advantage of efficiency improvement for the electric power generation based on the double-sided panel. Compared to the existing solar power generation facilities using A-shaped cross-sectional modules, the power generation efficiency of roofs in this case is increased by more than 11%, which we can confirm, through the comparison analysis of monitoring data between power plants in the same area. Therefore, if the roof-type solar structure suitable for the small warehouse we have presented in this paper is used, the facilities of electric power generation is eco-friendly. Further it is easier to obtain facility certification compared to the BIPV, and improved capacity of the power generation can be secured at low material cost. It is believed that the roof-type solar power generation facility we proposed can be usefully used for warehouse or factory-based smart housing. Sensor devices for monitoring, CCTV monitoring, or safety and environment management, operating in connection with the solar power generation facilities, are linked with the Internet of Things (IoT) solution, so they can be monitored and controlled remotely.

Research of Deep Learning-Based Multi Object Classification and Tracking for Intelligent Manager System (지능형 관제시스템을 위한 딥러닝 기반의 다중 객체 분류 및 추적에 관한 연구)

  • June-hwan Lee
    • Smart Media Journal
    • /
    • v.12 no.5
    • /
    • pp.73-80
    • /
    • 2023
  • Recently, intelligent control systems are developing rapidly in various application fields, and methods for utilizing technologies such as deep learning, IoT, and cloud computing for intelligent control systems are being studied. An important technology in an intelligent control system is recognizing and tracking objects in images. However, existing multi-object tracking technology has problems in accuracy and speed. In this paper, a real-time intelligent control system was implemented using YOLO v5 and YOLO v6 based on a one-shot architecture that increases the accuracy of object tracking and enables fast and accurate tracking even when objects overlap each other or when there are many objects belonging to the same class. The experiment was evaluated by comparing YOLO v5 and YOLO v6. As a result of the experiment, the YOLO v6 model shows performance suitable for the intelligent control system.

Two-Way Hybrid Power-Line and Wireless Amplify-and-Forward Relay Communication Systems

  • Asiedu, Derek Kwaku Pobi;Ahiadormey, Roger Kwao;Shin, Suho;Lee, Kyoung-Jae
    • Journal of Advanced Information Technology and Convergence
    • /
    • v.9 no.1
    • /
    • pp.25-37
    • /
    • 2019
  • Power-line communication (PLC) has influenced smart grid development. In addition, PLC has also been instrumental in current research on internet-of-things (IoT). Due to the implementation of PLC in smart grid and IoT environments, strides have been made in PLC and its combination with the wireless system to form a hybrid communication system. Also, PLC has evolved from a single-input-single-output (SISO) configuration to multiple-input-multiple-output (MIMO) configuration system, and from a point-to-point communication system to cooperative communication systems. In this work, we extend a MIMO wireless two-way amplify-and-forward (AF) cooperative communication system to a hybrid PLC and wireless (PLC/W) system configuration. We then maximize the weighted sum-rate for the hybrid PLC/W by optimizing the precoders at each node within the hybrid PLC/W system. The sum-rate problem was found to be non-convex, therefore, an iterative algorithm is used to find the optimal precoders that locally maximize the system sum-rate. For our simulation results, we compare our proposed hybrid PLC/W configuration to a PLC only and wireless only configuration at each node. Due to an improvement in system diversity, the hybrid PLC/W configuration outperformed the PLC only and wireless only system configurations in all simulation results presented in this paper.

A Study on the Establishment of Urban Life Safety Abnormalities Detection Service Using Multi-Type Complex Sensor Information (다종 복합센서 정보를 활용한 도심 생활안전 이상감지 서비스 구축방안 연구)

  • Woochul Choi;Bong-Joo Jang
    • Journal of the Society of Disaster Information
    • /
    • v.20 no.2
    • /
    • pp.315-328
    • /
    • 2024
  • Purpose: The purpose of this paper is to present a service construction plan using multiple complex sensor information to detect abnormal situations in urban life safety that are difficult to identify on CCTV. Method: This study selected service scenarios based on actual testbed data and analyzed service importance for local government control center operators, which are main users. Result: Service scenarios were selected as detection of day and night dynamic object, Detection of sudden temperature changes, and Detection of time-series temperature changes. As a result of AHP analysis, walking and mobility collision risk situation services and fire foreshadowing detection services leading to immediate major disasters were highly evaluated. Conclusion: This study is significant in proposing a plan to build an anomaly detection service that can be used in local governments based on real data. This study is significant in proposing a plan to build an anomaly detection service that can be used by local governments based on testbed data.