• Title/Summary/Keyword: smart mobility

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Mobile NDT Inspection System Using Ultrasonic (초음파를 이용한 모바일 비파괴 검사 시스템)

  • Kwon, Seong-Geun;Lee, Suk-Hwan
    • Journal of Korea Multimedia Society
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    • v.19 no.2
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    • pp.105-111
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    • 2016
  • In order to inspect the quality of spot welding, inefficient destructive test and NDT (non destructive testing) utilizing expensive foreign ultrasonic inspection are being conducted in the automobile production lines, but NDT will be difficult to be used in the domestic automobile production due to complexity of the waveform analysis and lack of mobility. In this paper, NDT system inspecting the quality of spot welding based on mobile network is proposed to complement drawbacks of the conventional inefficient destructive testing and NDT inspecting the quality of spot welding. Regardless of daily condition of NDT tester, the proposed NDT system can determine the quality of spot welding automatically and transmit the information of NDT quality to smart devices of field workers in real-time so that convenience of NDT and productivity of automobile production will be improved. Several specimens with a variety of welding quality was produced to evaluate the performance of the proposed mobile ultrasonic NDT system and the conventional foreign equipment, through this experiments, the proposed mobile ultrasonic NDT system indicate the superior properties compared to the conventional equipment in terms of convenience, productivity, and economic.

Development of Millimeter-Wave Communication Modem for Mobile Wireless Backhaul in Mobile Hotspot Network

  • Choi, Seung Nam;Kim, Junhyeong;Kim, Il Gyu;Kim, Dae Jin
    • IEIE Transactions on Smart Processing and Computing
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    • v.3 no.4
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    • pp.212-220
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    • 2014
  • The current cellular communications are optimized for low mobility users, meaning that their performance is degraded at high speed. Therefore, passengers in a high-speed train experience very poor radio link quality due to the significantly large number of simultaneous handovers. In addition, wireless data traffic is expanding exponentially in trains, subways and buses due to the widespread use of smartphones and mobile devices. To solve the inherent problem of cellular communication networks and meet the growing traffic demand, this paper proposes the mobile hotspot network of a millimeter-wave communication system as a mobile wireless backhaul. This paper describes the physical layer design of uplink and downlink in the proposed system, and the performances of uplink and downlink are evaluated under Rician fading channel conditions. The implemented baseband prototype of the proposed millimeter-wave communication modem is presented. This system can provide a Gbps data rate service in high-speed trains carrying hundreds of wireless Internet users.

Intelligent Traffic Prediction by Multi-sensor Fusion using Multi-threaded Machine Learning

  • Aung, Swe Sw;Nagayama, Itaru;Tamaki, Shiro
    • IEIE Transactions on Smart Processing and Computing
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    • v.5 no.6
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    • pp.430-439
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    • 2016
  • Estimation and analysis of traffic jams plays a vital role in an intelligent transportation system and advances safety in the transportation system as well as mobility and optimization of environmental impact. For these reasons, many researchers currently mainly focus on the brilliant machine learning-based prediction approaches for traffic prediction systems. This paper primarily addresses the analysis and comparison of prediction accuracy between two machine learning algorithms: Naïve Bayes and K-Nearest Neighbor (K-NN). Based on the fact that optimized estimation accuracy of these methods mainly depends on a large amount of recounted data and that they require much time to compute the same function heuristically for each action, we propose an approach that applies multi-threading to these heuristic methods. It is obvious that the greater the amount of historical data, the more processing time is necessary. For a real-time system, operational response time is vital, and the proposed system also focuses on the time complexity cost as well as computational complexity. It is experimentally confirmed that K-NN does much better than Naïve Bayes, not only in prediction accuracy but also in processing time. Multi-threading-based K-NN could compute four times faster than classical K-NN, whereas multi-threading-based Naïve Bayes could process only twice as fast as classical Bayes.

Performance of Relay Networks with Partially Differential Modulation Scheme Depending on Energy Allocation in Railway Environments (철도환경에서 에너지 할당에 따른 부분차등변조 방식을 이용한 중계 네트워크의 성능)

  • Cho, Woong;Cho, Han-Byeog
    • The Journal of the Korea institute of electronic communication sciences
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    • v.11 no.1
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    • pp.17-22
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    • 2016
  • In relay networks, relay nodes amplify or demodulate/remodulate the received signal from the transmitter, and transmit that signal to the receiver. The received signals from several relays are combined and used for demodulation at the receiver, which enhances the performance of the overall system. Partially differential modulation scheme which uses coherent modulation at the relay and non-coherent modulation scheme at the receiver is adopted for modulation scheme. We analyze the performance of systems depending on various energy allocations of source and relays given the total energy in relay networks.

The Comparison of the 3D graph for the energy-equal of LEACH-Mobile

  • Jang, Seong Pil;Jung, Kye-Dong;Lee, Jong-Yong
    • International journal of advanced smart convergence
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    • v.6 no.1
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    • pp.57-67
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    • 2017
  • In this paper, propose an algorithm to improve network lifetime by equally consuming energy of LEACH - Mobile sensor nodes. LEACH is one of energy efficient protocols. However, we did not consider the mobility of nodes. Therefore, the transmission reception success rate of the moving data is reduced. LEACH-Mobile is a protocol that has improved the drawbacks of these LEACH. However, since LEACH-Mobile has a larger number of data packets and consumes more energy than LEACH, it has a disadvantage that the lifetime of the network is short. In order to improvement these disadvantage, Based on the average of the remaining energy of the node, cluster heads are elected with a number of nodes whose energies are larger than the average of the remaining energy from the member nodes. After that, by trying to increase the lifetime of the network by equalizing the remaining energy. In to confirm whether improve the lifetime of the network, In this paper, the number of nodes and the position of all nodes are varied for each specific round, the rest energy is equalized, and the algorithm which uniformly selected the cluster head is compared with LEACH.

Prospects of Rehabilitation Welfare Devices: Based on Assistive and Robotic Devices (재활복지기기의 전망: 보조기기와 로봇장치를 중심으로)

  • Song, W.K.
    • Journal of rehabilitation welfare engineering & assistive technology
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    • v.9 no.1
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    • pp.1-9
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    • 2015
  • This paper reviews trends of the rehabilitation welfare devices on the basis of products and markets. Latest assistive devices tend to have a fold function. Auxiliary power assist module has been added. The completion of products has been improved. The folding function has strong relationship with portability. Specifically, various mobility devices, including foldable devices, are associated with enhanced portability. Powered auxiliary wheels and upper extremity supporting modules have entered the market. The leading-edge technology like Segway's control technology applies to two-wheel wheelchairs. The brand- new technology, lower extremity robotic exoskeleton, applies to markets. Standing wheelchairs, ramps, stair climbing assistive devices becomes more common. In addition, a combination of a variety of smart devices is being promoted to the classical assistive devices' part. Rehabilitation welfare devices can be more valuable due to nice industrial design, improved materials, and processing technology.

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Two-module robotic pipe inspection system with EMATs

  • Lee, Jin-Hyuk;Han, Sangchul;Ahn, Jaekyu;Kim, Dae-Hyun;Moon, Hyungpil
    • Smart Structures and Systems
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    • v.13 no.6
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    • pp.1041-1063
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    • 2014
  • This work introduces a two-module robotic pipe inspection system with ultrasonic NDE device to evaluate the integrity of pipe structures. The proposed robotic platform has high mobility. The two module mobile robot platform overcomes pipe obstacle structures such as elbow, or T-branch joints by cooperative maneuvers. Also, it can climb up the straight pipeline at a fast speed due to the wheel driven mechanism. For inspection of pipe structure, SH-waves generated by EMAT are applied with additional signal processing methods. A wavelet transform is implemented to extract a meaningful and specific signal from the superposed SH-wave signals. Intensity ratio which is normalized the defect signals intensity by the maximum intensity of directly transmitted signals in the wavelet transforms spectrum is applied to evaluate defects quantitatively. It is experimentally verified that the robotic ultrasonic inspection system with EMAT is capable of non-destructive inspection and evaluation of defects in pipe structure successfully by applying signal processing method based on wavelet transform.

An Efficient PFMIPv6 and WLAN Interworking Scheme for Fast Handover (고속 핸드오버를 위한 PFMIPv6와 무선랜의 효율적인 연동 방안)

  • Park, Min-Ji;Min, Sang-Won;Kim, Bok-Ki
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.37 no.3B
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    • pp.174-180
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    • 2012
  • As the number of a smart phone user over the world surprisingly grows and a wireless Internet market expands, service requirement of a mobile terminal is increasing. However, because there is no consideration of mobility in the early standard step, it is difficult to expect to improve the service performance in handover procedure. This paper proposes a PFMIPv6 handover scheme by using probe request message and authentication message and by using buffering scheme in IEEE 802.11. In addition, we simulated this proposal scheme and verified that the proposed handover scheme is improved in terms of handover delay, and average FTP throughput during the handover period.

Preceding Factors in the Effect of QR Code Characteristics on Consumer's Purchasing Intention for Mobile Marketing in Fashion Business (패션비즈니스 모바일 마케팅의 QR Code 속성이 소비자 구매의도에 영향을 미치는 선행변수연구)

  • Shin, Sangmoo;Lee, Eunjung
    • Journal of Fashion Business
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    • v.18 no.2
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    • pp.80-94
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    • 2014
  • The utilization of QR code for mobile marketing in fashion business has been receiving growing attention with the increasing smart phone users and wireless internet environment. The purpose of this study was to investigate the effects of utilizing QR code for mobile marketing on consumer's purchasing intention based upon TAM model. This research was conducted by questionnaire method, in which the questionnaire was distributed to the consumers in Seoul. Among the questionnaire returned from the consumers, 196 were selected to be included in the analysis by developing descriptive statistics, factor analysis, cronbach's alpha, and regression analysis using SPSS15.0. The results of this study were as follows: There was a significant effect of QR code characteristics such as usability, mobility, aesthetics of design on perceived ease of use. The factors of individuality, interactivity, and aesthetics of design significantly affected on the perceived usefulness of QR code. The ease of use and usefulness significantly affected the consumers' enjoyment which positively affected on purchasing intention.

An Availability of Low Cost Sensors for Machine Fault Diagnosis

  • SON, JONG-DUK
    • Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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    • 2012.10a
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    • pp.394-399
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    • 2012
  • In recent years, MEMS sensors show huge attraction in machine condition monitoring, which have advantages in power, size, cost, mobility and flexibility. They can integrate with smart sensors and MEMS sensors are batch product. So the prices are cheap. And the suitability of it for condition monitoring is researched by experimental study. This paper presents a comparative study and performance test of classification of MEMS sensors in target machine fault classification by 3 intelligent classifiers. We attempt to signal validation of MEMS sensor accuracy and reliability and performance comparisons of classifiers are conducted. MEMS accelerometer and MEMS current sensors are employed for experiment test. In addition, a simple feature extraction and cross validation methods were applied to make sure MEMS sensors availabilities. The result of application is good for using fault classification.

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