• Title/Summary/Keyword: Data Communication-Less

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Optimum Design of a Communication Protocol for Meteor Burst Communication (유성 버스트 통신을 위한 통신 프로토콜의 최적설계)

  • 권혁숭
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.5 no.5
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    • pp.892-901
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    • 2001
  • Despite of many advantages over conventional radio paths, application of the Meteor Burst Path in commercial communication system is so far limited to a few extent because of its low duty rate, which is, less than several percent at best. In order to get through maximum number of data bits during the short interval of each burst, which normally lives a fractions of a second, a sophisticated communication protocol is called for. In this paper, author introduces a communication protocol which can effectively locate and fetch burst signal by sending out periodic detection signal from master station and, with minimal delay, switch over to transmission states so as to put as many data bits through the detected burst as the burst length permits. By analyzing time period required for each transaction steps, the author derives optimal packet length for various bursts which assures to get a message string through in minimum delay. According to the analysis, the author proposes a protocol including a routine which automatically accesses average length of bursts at each environment and automatically adapt length of data packet so as to maximize data throughput under Riven burst conditions.

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The Effects of Maternal Ambivalence over Emotional Expressiveness and Mother-Adolescent Communication on Depression in Adolescent Boys and Girls (어머니의 정서표현 양가성과 모-자녀 간 의사소통이 남녀 청소년의 우울에 미치는 영향)

  • Lee, Young Hwa;Chee, Yeon Kyung;Doh, Hyun-Sim
    • Korean Journal of Child Studies
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    • v.33 no.6
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    • pp.149-168
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    • 2012
  • This study explored the effects of maternal ambivalence over emotional expressiveness (AEE) and mother-adolescent communication on adolescent depression (depressed affect, positive affect, somatic symptoms and activity inhibition, interpersonal difficulties). Data were taken from 233 middle school students (128 boys, 105 girls) and their mothers. Regression analyses showed varying gender differences in the relationships among these variables. Boys with high maternal AEE had lower positive affect, and higher depressive affect, somatic symptoms and activity inhibition, and interpersonal difficulties, whereas girls' moods were not influenced by maternal AEE. In addition, boys with problems in mother-dolescent communication exhibited lower positive affect, higher depressed affect and interpersonal difficulties, but open communication was not related to any depressive symptoms. The mother-adolescent communication type did not appear to be associated with depression in girls either. Both boys and girls both had less open communication and more problem communication with mothers experiencing high AEE. Problem communication with mothers partially mediated the relationship between maternal AEE and interpersonal difficulties in boys only. Examination of maternal ambivalence over emotional expressiveness provides a deeper context for our understanding of negative family communication patterns and the psychological consequences, especially in mother-adolescent boy dyads.

Applying Parallel Processing Technique in Parallel Circuit Testing Application for improve Circuit Test Ability in Circuit manufacturing

  • Prabhavat, Sittiporn;Nilagupta, Pradondet
    • 제어로봇시스템학회:학술대회논문집
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    • 2005.06a
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    • pp.792-793
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    • 2005
  • Circuit testing process is very important in IC Manufacturing there are two ways in research for circuit testing improvement. These are ATPG Tool Design and Test simulation application. We are interested in how to use parallel technique such as one-side communication, parallel IO and dynamic Process with data partition for circuit testing improvement and we use one-side communication technique in this paper. The parallel ATPG Tool can reduce the test pattern sets of the circuit that is designed in laboratory for make sure that the fault is not occur. After that, we use result for parallel circuit test simulation to find fault between designed circuit and tested circuit. From the experiment, We use less execution time than non-parallel Process. And we can set more parameter for less test size. Previous experiment we can't do it because some parameter will affect much waste time. But in the research, if we use the best ATPG Tool can optimize to least test sets and parallel circuit testing application will not work. Because there are too little test set for circuit testing application. In this paper we use a standard sequential circuit of ISCAS89.

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A Joint Allocation Algorithm of Computing and Communication Resources Based on Reinforcement Learning in MEC System

  • Liu, Qinghua;Li, Qingping
    • Journal of Information Processing Systems
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    • v.17 no.4
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    • pp.721-736
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    • 2021
  • For the mobile edge computing (MEC) system supporting dense network, a joint allocation algorithm of computing and communication resources based on reinforcement learning is proposed. The energy consumption of task execution is defined as the maximum energy consumption of each user's task execution in the system. Considering the constraints of task unloading, power allocation, transmission rate and calculation resource allocation, the problem of joint task unloading and resource allocation is modeled as a problem of maximum task execution energy consumption minimization. As a mixed integer nonlinear programming problem, it is difficult to be directly solve by traditional optimization methods. This paper uses reinforcement learning algorithm to solve this problem. Then, the Markov decision-making process and the theoretical basis of reinforcement learning are introduced to provide a theoretical basis for the algorithm simulation experiment. Based on the algorithm of reinforcement learning and joint allocation of communication resources, the joint optimization of data task unloading and power control strategy is carried out for each terminal device, and the local computing model and task unloading model are built. The simulation results show that the total task computation cost of the proposed algorithm is 5%-10% less than that of the two comparison algorithms under the same task input. At the same time, the total task computation cost of the proposed algorithm is more than 5% less than that of the two new comparison algorithms.

Implementation of a Senseless Position Controller Capable of Multi-turn Detection in a Turret Servo System (터렛 서보 시스템에서 멀티-턴 검출이 가능한 센서리스 위치제어기 구현)

  • Cho, Nae-Soo
    • The Journal of the Korea institute of electronic communication sciences
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    • v.16 no.1
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    • pp.37-44
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    • 2021
  • This study is implemented as a sensor-less position controller capable of multi-turn detection to replace the expensive absolute encoder used in the turret servo system. For sensor-less control, the position information of the rotor is essential. For this, a magnetic flux estimator was implemented from the mathematical model of IPMSM used in the turret servo system. The position of the rotor and the angular velocity of the rotor were obtained using the rotor magnetic flux calculated from the magnetic flux estimator. Using the zero-crossing technique, one pulse was generated for each rotation of the estimated rotor magnetic flux to measure the number of multi-turns. Simulation and experiment results confirmed the usefulness of the proposed method.

Measurement of Multi-Port S-Parameters using Four-Port Network Analyzer

  • Kim, Jongmin;Luong, Duc Long;Nah, Wansoo;Kim, SoYoung
    • JSTS:Journal of Semiconductor Technology and Science
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    • v.13 no.6
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    • pp.589-593
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    • 2013
  • An efficient measurement methodology is proposed to construct the scattering parameters of a multi-port device using a four-port vector network analyzer (VNA) without the external un-terminated ports. By using the four-port VNA, the reflected waves from the un-terminated ports could be minimized. The proposed method significantly enhances the accuracy of the S-parameters with less number of measurements compared to the results of classical renormalization technique which uses two-port VNA. The proposed method is validated from the measured data with the coupled 8-port micro-strip lines.

A Study on the Development and Evaluation of Hospital Communication (Hospital Adaptation) Program for New Graduate Nurses (신규간호사를 위한 병원 의사소통 프로그램(병원적응 프로그램) 개발과 효과 검증)

  • Koo, Mi-Jee;Kim, Kyoung-Nam
    • The Korean Journal of Health Service Management
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    • v.8 no.4
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    • pp.1-12
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    • 2014
  • This study is designed to develop a hospital communication program and to verify its effectiveness in graduate nurses self-esteem, communication conflicts, turnover intention and early resignation rate. The study method is a randomized control group with a pre-post test design. In order to help new graduate nurses adapt to the hospital, eight week hospital communication program is developed. The study participants are 104 nurses(47 experiment, 57 control) who have been working for less than six months. The data on self-esteem, communication conflict, and turnover intention was collected one week before the program and four weeks after the program. Then, the early resignation rate of the participating nurses was surveyed one year after the start of employment. The nurses who participated in the hospital communication program exhibit higher self-esteem, fewer communication conflicts, and lower early resignation rates than those who did not. However, effect in the turnover intention is not observed. Overall, the hospital communication program will help new graduate nurses adapt to hospitals.

A Study on Application Method of Contour Image Learning to improve the Accuracy of CNN by Data (데이터별 딥러닝 학습 모델의 정확도 향상을 위한 외곽선 특징 적용방안 연구)

  • Kwon, Yong-Soo;Hwang, Seung-Yeon;Shin, Dong-Jin;Kim, Jeong-Joon
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.22 no.4
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    • pp.171-176
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    • 2022
  • CNN is a type of deep learning and is a neural network used to process images or image data. The filter traverses the image and extracts features of the image to distinguish the image. Deep learning has the characteristic that the more data, the better models can be made, and CNN uses a method of artificially increasing the amount of data by means of data augmentation such as rotation, zoom, shift, and flip to compensate for the weakness of less data. When learning CNN, we would like to check whether outline image learning is helpful in improving performance compared to conventional data augmentation techniques.

Economic Analysis of Optical Communication Control System in High Voltage Magnetizer (고전압 착자기에서의 누전 사고 방지를 위한 광통신 제어시스템의 도입 방안과 경제성 분석)

  • Bae, Young Woo;Kim, Wooju;Hong, June Seok
    • Journal of Information Technology Applications and Management
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    • v.26 no.6
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    • pp.103-117
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    • 2019
  • Demand for high power motors is rapidly increasing as the 4th industry and convergence technology has recently emerged. In order to produce high-strength permanent magnets, the magnets used for magnetization have been increased from DC 300V in the 1970s to DC 2.5kV in the 2010s, Up to DC 10kV in the 2030s, It is expected that higher voltage will be used to magnetize. However, in the case of a magnetizer using an existing electric signal control device, it is necessary to use a control device with a high-voltage insulation function in case a high voltage used for magnetization is leaked to the control device. If a short circuit accident occurs, the controller must be shut down and serious problems such as excessive repair costs arise. In this study, a control system adopting optical communication method instead of electric signal control method is proposed to prevent leakage currents in high-voltage magnetizer. We design a transmitter(Tx) and a receiver(Rx) device for the optical communication control device and implemented a prototype connecting the optical cable. In order to demonstrate the utility of high-voltage magnetizer using the optical communication control device, we analyzed the initial cost and the yearly cost for the years to analyze the net present value. As a result, In the case of the low-voltage magnetizer, the electric signal control method cost less, As the operating voltage of the magnetizer becomes higher. It is confirmed that it takes less cost when the optical communication control device is used.

A Case Study of Green Ambience through Green Cloud Computing

  • Kumar, Rethina;Kang, Jeong-Jin
    • International journal of advanced smart convergence
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    • v.1 no.2
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    • pp.52-58
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    • 2012
  • Green cloud computing refers to the green ambient benefits that information technology services delivered over the Internet can offer for the society. The green meaning environment friendly and cloud computing is a traditional symbol for the Internet and a type of service provider. Cloud computing has drastically increased the number of datacenters and the energy consumption of data centers and that has become a critical issue which is extremely important in green ambience. These days the cloud data center needs high energy resources that leads to high operational cost and also maximizes CO2 - carbon footprint that pollutes the ambience which is not to be considered as green ambience. So we need to provide a way that leads us to green ambience. Cloud computing for the green ambience should be designed in a way which will utilize less energy resources and to minimize the CO2 -carbon footprint, known as green cloud. In this paper we discuss various elements of Clouds which contributes to minimize the total energy consumption and the carbon emission so as to enable green ambience through green cloud computing.