• Title/Summary/Keyword: Smart On-Device

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A study on wireless endoscope technology development combined with UWB communication module (UWB 통신모듈을 결합한 무선 내시경 기술 개발에 관한 연구)

  • Shim, Dongha;Lee, Jongsung;Rho, Jungkyu;Lee, Minwoo;Cha, Jaesang
    • Journal of Satellite, Information and Communications
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    • v.9 no.1
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    • pp.17-21
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    • 2014
  • In this paper, we proceeded a study about the wireless endoscopic technology development combined with UWB communication module for endoscope. Firstly, we proposed needs of UWB wireless endoscope technology development related to domestic endoscope industry and UWB communication technology. Also, we develop a wireless endoscope combined with UWB communication module. In this paper, the proposed UWB wireless endoscope technology can acquire a endoscope image using UWB communication method. It can transfer a image at high data rate using DB and Smart Device linkage technology, an effective and trusted diagnosis is possible. The proposed UWB wireless communication module combined with UWB communication module is expected to be widely utilized.

Hand Gesture Interface Using Mobile Camera Devices (모바일 카메라 기기를 이용한 손 제스처 인터페이스)

  • Lee, Chan-Su;Chun, Sung-Yong;Sohn, Myoung-Gyu;Lee, Sang-Heon
    • Journal of KIISE:Computing Practices and Letters
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    • v.16 no.5
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    • pp.621-625
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    • 2010
  • This paper presents a hand motion tracking method for hand gesture interface using a camera in mobile devices such as a smart phone and PDA. When a camera moves according to the hand gesture of the user, global optical flows are generated. Therefore, robust hand movement estimation is possible by considering dominant optical flow based on histogram analysis of the motion direction. A continuous hand gesture is segmented into unit gestures by motion state estimation using motion phase, which is determined by velocity and acceleration of the estimated hand motion. Feature vectors are extracted during movement states and hand gestures are recognized at the end state of each gesture. Support vector machine (SVM), k-nearest neighborhood classifier, and normal Bayes classifier are used for classification. SVM shows 82% recognition rate for 14 hand gestures.

An Exploratory Study on Adoption and Activation of IT for Korean Stone Industry (한국 석재산업의 IT 도입 및 활성화를 위한 탐색적 연구)

  • An, Jaeyoung;Lee, Choong C.;Yun, Haejung
    • Journal of Information Technology Services
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    • v.17 no.2
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    • pp.83-100
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    • 2018
  • Demand for stone products used as building materials is increasing. The construction industry, the value of the stone industry is sufficient, but the domestic stone industry is very lag regarding IT utilization. However, the overseas stone industry produces high-quality products using IT. In this study, we want to offer an IT application technology priority fit for the stone industries. We identify the current status and production process of the stone industries, then set the priority of various IT, so that obtain competitiveness in the domestic stone industries, and minimize the gap between the overseas stone industries. Therefore, we used AHP method; stone industry production processes were selected as the Enterprise Operation Management, Quarrying, Manufacturing, Construction and Maintenance of first-tier. The second-tier ones are consisted of 30 factors out of IT elements. Focus group interviews were conducted to confirm the validity of each factor. As a result, most important factors of first-tier was selected as the order of Manufacturing, Quarrying, Enterprise Operation Management, and Construction & Maintenance. The top 5 of 30 factors in the second-tier were selected Smart Sensor, Mobile Device, Robot of manufacturing, GIS of quarrying, and SCM of enterprise operation management. And the factor that relatively less important was GPS of construction and maintenance. If properly applied an IT application technology for stone industry, we expect to provide efficient production lines and increase customer satisfaction, which will ultimately expand the promotion for the industry and thus act as positive factor in promoting the stone industry.

The Technology of Connected Car (커넥티드 카의 기술)

  • Shim, Hyun-Bo
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.20 no.3
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    • pp.590-598
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    • 2016
  • It comes into the spotlight as the new Blue Ocean in which the connected car industry in which the car and mobile communication technology is convergence. All sorts of infortainments services connecting with the portable electronic device(Smart phone, tablet PC, and MP3 player) and car are rapidly grown. The Connected car emphasizes the vehicle connectivity with the concept that the car has communication with the around on a real time basis and it provides the safety and expedience to the operator and using the thing of Internet (IoT) in the car and supports the application, presently, the entertainment service including the real-time Navigation, parking assistant function, not only the remote vehicle control and management service but also Email, multimedia streaming service, SNS and with the platform. Intelligent vehicle network is studied as the kind according to MANET(Mobile Ad Hoc Network) for the safety operation of the cars of the road and improving the efficiency of the driving.

Wired/Wireless Gateway System Supporting LAN-to-LAN VPN with Multi-Queuing Realtime Traffic Shaping (다중큐잉 실시간 트래픽쉐이핑을 적용한 네트워크간 VPN 지원 유무선공유기 시스템)

  • Yang, Seung Eui;Goh, Byung Oh;Choi, Jong-Kun;Jung, Hoe-kyung
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.19 no.5
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    • pp.1097-1103
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    • 2015
  • In order to build network infrastructure to implement the aforementioned advantages enabling smart device users to work anywhere, professional support and expensive VPN devices are required. This is a barrier to supplying VPN devices to small and medium-sized institutes. To address this issue, this study aims to implement OpenVPN, OpenSSH and iproute based on the OpenWRT platform which is an embedded OS for open networks in affordable open wired/wireless gateway H/W platforms to support the inter-network VPN. In addition, the network environment can be maintained optimal by applying a "multi-queuing real-time traffic shaping technology" to VPN tunnels, although channel quality changes.

Design of Encryption/Decryption Core for Block Cipher Camellia (Camellia 블록 암호의 암·복호화기 코어 설계)

  • Sonh, Seungil
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.20 no.4
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    • pp.786-792
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    • 2016
  • Camellia was jointly developed by Nippon Telegraph and Telephone Corporation and Mitsubishi Electric Corporation in 2000. Camellia specifies the 128-bit message block size and 128-, 192-, and 256-bit key sizes. In this paper, a modified round operation block which unifies a register setting for key schedule and a conventional round operation block is proposed. 16 ROMs needed for key generation and round operation are implemented using only 4 dual-port ROMs. Due to the use of a message buffer, encryption/decryption can be executed without a waiting time immediately after KA and KB are calculated. The suggested block cipher Camellia algorithm is designed using Verilog-HDL, implemented on Virtex4 device and operates at 184.898MHz. The designed cryptographic core has a maximum throughput of 1.183Gbps in 128-bit key mode and that of 876.5Mbps in 192 and 256-bit key modes. The cryptographic core of this paper is applicable to security module of the areas such as smart card, internet banking, e-commerce and satellite broadcasting.

EEG Signal Classification based on SVM Algorithm (SVM(Support Vector Machine) 알고리즘 기반의 EEG(Electroencephalogram) 신호 분류)

  • Rhee, Sang-Won;Cho, Han-Jin;Chae, Cheol-Joo
    • Journal of the Korea Convergence Society
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    • v.11 no.2
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    • pp.17-22
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    • 2020
  • In this paper, we measured the user's EEG signal and classified the EEG signal using the Support Vector Machine algorithm and measured the accuracy of the signal. An experiment was conducted to measure the user's EEG signals by separating men and women, and a single channel EEG device was used for EEG signal measurements. The results of measuring users' EEG signals using EEG devices were analyzed using R. In addition, data in the study was predicted using a 80:20 ratio between training data and test data by applying a combination of specific vectors with the highest classifying performance of the SVM, and thus the predicted accuracy of 93.2% of the recognition rate. This paper suggested that the user's EEG signal could be recognized at about 93.2 percent, and that it can be performed only by simple linear classification of the SVM algorithm, which can be used variously for biometrics using EEG signals.

Development of application for guidance and controller unit for low cost and small UAV missile based on smartphone (스마트폰을 활용한 소형 저가 유도탄 유도조종장치용 어플리케이션 개발)

  • Noh, Junghoon;Cho, Kyongkuk;Kim, Seongjun;Kim, Wonsop;Jeong, Jinseob;Sang, Jinwoo;Park, Chung-Woon;Gong, Minsik
    • Journal of the Korean Society for Aeronautical & Space Sciences
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    • v.45 no.7
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    • pp.610-617
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    • 2017
  • In the recent weapon system trend, it is required to develop small and low cost guidance missile to track and strike the enemy target effectively. Controling the such small drone typed weapon demands a integrated electronic device that equipped with not only a wireless network interface, a high resolution camera, various sensors for target tracking, and position and attitude control but also a high performance processor that integrates and processes those sensor outputs in real-time. In this paper, we propose the android smartphone as a solution for that and implement the guidance and control application of the missile. Furthermore, the performance of the implemented guidance and control application is analyzed through the simulation.

Development of active discharge tester for high capacity lithium-ion battery (대용량 리튬 이온 배터리용 Active 방전시험기의 개발)

  • Park, Joon-Hyung;Yunana, Gani Dogara;Park, Chan Won
    • Journal of Industrial Technology
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    • v.40 no.1
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    • pp.13-18
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    • 2020
  • Lithium-ion batteries have a small volume, light weight and high energy density, maximizing the utilization of mobile devices. It is widely used for various purposes such as electric bicycles and scooters (e-Mobility), mass energy storage (ESS), and electric and hybrid vehicles. To date, lithium-ion batteries have grown to focus on increasing energy density and reducing production costs in line with the required capacity. However, the research and development level of lithium-ion batteries seems to have reached the limit in terms of energy density. In addition, the charging time is an important factor for using lithium-ion batteries. Therefore, it was urgent to develop a high-speed charger to shorten the charging time. In this thesis, a discharger was fabricated to evaluate the capacity and characteristics of Li-ion battery pack which can be used for e-mobility. To achieve this, a smart discharger is designed with a combination of active load, current sensor, and temperature sensor. To carry out this thesis, an active load switching using sensor control circuit, signal processing circuit, and FET was designed and manufactured as hardware with the characteristics of active discharger. And as software for controlling the hardware of the active discharger, a Raspberry Pi control device and a touch screen program were designed. The developed discharger is designed to change the 600W capacity battery in the form of active load.

A Life Browser based on Probabilistic and Semantic Networks for Visualization and Retrieval of Everyday-Life (일상생활 시각화와 검색을 위한 확률망과 의미망 기반 라이프 브라우저)

  • Lee, Young-Seol;Hwang, Keum-Sung;Kim, Kyung-Joong;Cho, Sung-Bae
    • Journal of KIISE:Computing Practices and Letters
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    • v.16 no.3
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    • pp.289-300
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    • 2010
  • Recently, diverse information which are location, call history, SMS history, photographs, and video can be collected constantly from mobile devices such as cellular phone, smart phone, and PDA. There are many researchers who study services for searching and abstraction of personal daily life with contextual information in mobile environment. In this paper, we introduce MyLifeBrowser which is developed in our previous work. Also, we explain LPS and correction of GPS coordinates as extensions of previous work and show LPS performance test and evaluate the performance of expanded keywords. MyLifeBrowser which provides searching personal information in mobile device and support of detecting related information according to a fragmentary keyword and common knowledge in ConceptNet. It supports the functionality of searching related locations using Bayesian network that is designed by the authors. In our experiment, we visualize real data through MyLifeBrowser and show the feasibility of LPS server and expanded keywords using both Bayesian network and ConceptNet.