• Title/Summary/Keyword: electrical connections

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Generalized Rearrangeable Networks with Recursive Decomposition Structure

  • Kim, Myung-Kyun;Hyunsoo Yoon;Maeng, Seung-Ryoul
    • Journal of Electrical Engineering and information Science
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    • v.2 no.5
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    • pp.121-128
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    • 1997
  • This paper proposes a class of rearrangeable networks, called generalized rearrangeable networks(GRNs). GRNs are obtained from the Benes network by rearranging the connections between states and the switches within each stage. The GRNs constitute all of the rearrangeable networks which have the recursive decomposition structure and can be routed by the outside-in decomposition of permutations as the Bene network. This paper also presents a necessary condition for a network to be a GRN and a network labeling scheme to check if a network satisfies the condition. the general routing algorithm for the GRNs is given by modifying slightly the looping algorithm of the Benes network.

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Applications of a Quadrant plane Amorphous Silicon Photo Position Sensor (4분면 아몰퍼스 실리콘 Photo 위치센서의 응용)

  • 김철한;신영록;사공건
    • Proceedings of the Korean Institute of Electrical and Electronic Material Engineers Conference
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    • 2000.11a
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    • pp.445-447
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    • 2000
  • The terminal and core(wire conductor) in a Harness processing is connected by putting them in a applicator by virtue of a manual operation. A normal or abnormal condition of crimping connections is nearly determined by a skilled worker. In general, a skilled worker operates a press motor with a foot switch by pressing on foot and puts a wire conductor into a press with one hand. By doing so, sufficient efficiency is not obtained by a worker. In this paper, a basic study has done to make improve an efficiency by finding the normal arrangement out as to whether a terminal and wire conductor in Harness are placed on the right position or not with a quadrant plane photo position sensor.

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Voltage Unbalance Evaluation in Autotransformer-Fed Electric Railway Systems using Circuit Analysis (회로해석을 이용한 전기철도 급전시스템의 전압불평형 평가)

  • 오광해;차준민
    • Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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    • v.12 no.4
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    • pp.20-28
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    • 1998
  • This study proposes a new method to estimate voltage unbalance more exactly using Thevenin's equivalent circuit. The conventional simple formula were easily applied to evaluate voltage unbalance. Because the formula was derived on the assumption that traction load would be directly connected to the secondary windings of the main transformer, they could not consider the detailed characteristics of traction power supply system, for example, self and mutual impedances of rail, catenary and return feeder. So, the ac쳐racy of the results could not be guaranteed. The proposed algorithm is applied to a standard autotransformer-fed test system to analyze unbalance phenomena. Through simulations, we could evaluate voltage and current unbalance factors and compare the voltage unbalance of the three transformer connection schemes : single phase, V- and Scott-connections which are required for suitable train operation schedules. Additionally, we could determine the combinations of trains which can be operated under the unbalance factor limits.

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Home Network Electrical Appliance Control With The UPnP Expansion

  • Cho, Kyung-Hee;Lee, Sung-Joo;Chung, Hyun-Sook
    • International Journal of Fuzzy Logic and Intelligent Systems
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    • v.7 no.2
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    • pp.127-131
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    • 2007
  • The control of electrical appliances residing in the home network can be accomplished via Internet with the UPnP expansion without modifying an existing UPnP. In this paper, we propose the Internet Gateway that consists of an UPnP IGD(Internet Gateway Device) DCP(Device Control Protocol) and an UPnP Bridge as a system to control electrical appliances of home network. UPnP IGD DCP is to enable the configurable initiation and sharing of Internet connections as well as assuring advanced connection-management features and management of host configuration service. It also supports transparent Internet access by non-UPnP-certified devices. UPnP Bridge searches for local home network devices by sending control messages, while control point of UPnP Bridge looks up devices of interest on the Internet, subsequently furnishing the inter-networking controlling among devices which belong to different home network systems. With our approach, devices on one home network can control home electrical appliances on the other home network via Internet through IGD DCP with control commands of UPnP.

Studies on Generation and Detection of Discharge Signals in a Low-voltage Outlet (저압용 전열수구에서 방전 신호의 발생과 검출에 관한 연구)

  • Kil, Gyung-Suk;Song, Jae-Yong;Seo, Hwang-Dong;Moon, Seung-Bo;Cho, Young-Jin;Hwang, Don-Ha
    • The Transactions of the Korean Institute of Electrical Engineers C
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    • v.54 no.11
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    • pp.498-502
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    • 2005
  • The objectives of this paper are to provide information on the characteristics of the discharge signals in a low-voltage indoor outlet. Most of electrical fires are caused by short circuits, overheating of wires, deterioration and incomplete connection of wiring devices. The last two cases are predictable before the occurrence of fire because of its slow progress. We have simulated the discharge signals caused by the deterioration and incomplete connection of wiring devices using aged outlets. From the experimental data, we could characterize the frequency spectrums of the discharge signals depending on the cases. The higher frequency components of the signal are attenuated by the capacitance and inductance of power lines as the measuring point is getting away from the discharges. Main frequency components of the discharge signal are existent at 600kHz - 1.5MHz in incomplete connections and at 210H7z - 8MHz in deteriorations of the outlet.

Non-Isolated High Gain Bidirectional Modular DC-DC Converter with Unipolar and Bipolar Structure for DC Networks Interconnections

  • Sun, Lejia;Zhuo, Fang;Wang, Feng;Yi, Hao
    • Journal of Power Electronics
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    • v.18 no.5
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    • pp.1357-1368
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    • 2018
  • In this paper, a novel high gain bidirectional modular dc-dc converter (BMC) with unipolar and bipolar structures for dc network interconnections is proposed. When compared with traditional dc grid-connecting converters, the proposed converter can achieve a high voltage gain with a simple modular transformerless structure. A sub-modular structure for the BMC is proposed to eliminate the unbalanced current stress between the different power units (levels) in the BMC. This can realize current sharing and standardized production and assembling. In addition, phase-interval operation is introduced to the sub-modules to realize low voltage and current ripple in both sides of the converter. Furthermore, two types of bipolar topologies of the sub-modular BMC were proposed to extend its application in bipolar dc network connections. In addition, the control system was optimized for grid-connection applications by providing various control strategies. Finally, simulations of a 3-level unipolar sub-modular BMC and a 4-level bipolar sub-modular BMC were conducted, and a 1-kW experimental 3-level unipolar prototype was developed to verify the effectiveness of the proposed converter.

Optimized Multi-Output Fuzzy Neural Networks Based on Interval Type-2 Fuzzy Set for Pattern Recognition (패턴 인식을 위한 Interval Type-2 퍼지 집합 기반의 최적 다중출력 퍼지 뉴럴 네트워크)

  • Park, Keon-Jun;Oh, Sung-Kwun
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.62 no.5
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    • pp.705-711
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    • 2013
  • In this paper, we introduce an design of multi-output fuzzy neural networks based on Interval Type-2 fuzzy set. The proposed Interval Type-2 fuzzy set-based fuzzy neural networks with multi-output (IT2FS-based FNNm) comprise the network structure generated by dividing the input space individually. The premise part of the fuzzy rules of the network reflects the individuality of the division space for the entire input space and the consequent part of the fuzzy rules expresses three types of polynomial functions with interval sets such as constant, linear, and modified quadratic inference for pattern recognition. The learning of fuzzy neural networks is realized by adjusting connections of the neurons in the consequent part of the fuzzy rules, and it follows a back-propagation algorithm. In addition, in order to optimize the network, the parameters of the network such as apexes of membership functions, uncertainty factor, learning rate and momentum coefficient were automatically optimized by using real-coded genetic algorithm. The proposed model is evaluated with the use of numerical experimentation.

Fault Diagnosis Device for Fire Prevention of the Resistance Heating Type three-Phase Electric Heater (3상 저항가열식 전기히터의 화재예방을 위한 결함 진단장치)

  • Lee, Mun-Hyung;Kim, Chan-O
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.66 no.11
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    • pp.1669-1674
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    • 2017
  • In this study, We have discussed the development of a diagnostic device to detect and prevent electrical fire due to the arc caused by contact failure and partial disconnection at the connection part of the three-phase electric heater wiring used in the industrial field. The arc caused by contact failure and partial disconnection at the connection part of the electric heater shows a change in the current effective value. Therefore, it is possible to determine whether there exists a defect by analyzing the current unbalance factor and the number of current fluctuations with the diagnostic apparatus. The three-phase unbalanced heater is considered to be capable of determining defects through periodic measurement and trend analysis of the current unbalance factor. It is also expected that this device can be used not only for electric heaters but also for detection of defects in wiring and connections of electrical equipment having a characteristic of constant load current.

Vision-Based Camber and Optimal Cutting Line Detection Algorithm for Hot-Rolling Process (열연 공정에서의 영상을 이용한 캠버 및 최적 절단선 검출 알고리즘)

  • Kong, Nam-Wong;Moon, Jung-Hye;Park, Poo-Gyeon
    • Proceedings of the KIEE Conference
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    • 2007.10a
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    • pp.155-156
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    • 2007
  • This paper presents the vision-based camber and optimal cutting line detection algorithm for hot-rolling process. It is important to measure the camber of head and tail part of strips because many problems are caused by the camber in the hot-rolling process. The hot-rolling process has time constraints. The camber detection algorithm of head and tail parts requires fast and less complex for satisfying time constraints. The proposed algorithm consists of two parts: measurement of the camber in the head and tail part of strips and decision part of the optimal cutting line of hot-rolled strip. First, we obtain the camber value of the strip from the difference between the real center line and the center line of head, tail part. Second, the head and tail part of strips isn't suitable for strips connections. Therefore, the cutting process is needed in the hot-rolling process. The optimal cutting line is determined by the head and tail images obtained from cameras. The algorithm is applied into the vision system with two area cameras, Matrox image processing board and host PC for verification.

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Stimulus Artifact Suppression Using the Stimulation Synchronous Adaptive Impulse Correlated Filter for Surface EMG Application

  • Yeom, Ho-Jun;Park, Ho-Dong;Chang, Young-Hui;Park, Young-Chol;Lee, Kyoung-Joung
    • Journal of Electrical Engineering and Technology
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    • v.7 no.3
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    • pp.451-458
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    • 2012
  • The voluntary EMG (vEMG) signal from electrically stimulated muscle is very useful for feedback control in functional electrical stimulation. However, the recorded EMG signal from surface electrodes has unwanted stimulation artifact and M-wave as well as vEMG. Here, we propose an event-synchronous adaptive digital filter for the suppression of stimulation artifact and M-wave in this application. The proposed method requires a simple experimental setup that does not require extra hardware connections to obtain the reference signals of adaptive digital filter. For evaluating the efficiency of this proposed method, the filter was tested and compared with a least square (LS) algorithm using previously measured data. We conclude that the cancellation of both primary and residual stimulation artifacts is enhanced with an event-synchronous adaptive digital filter and shows promise for clinical application to rehabilitate paretic limbs. Moreover because this algorithm is far simpler than the LS algorithm, it is portable and ready for real-time application.