• Title/Summary/Keyword: Deep slot

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The analysis on magnetic flux by the rotor slot of Squirrel-cage induction motor (농형유도전동기(籠型誘導電動機)의 회전자(回轉子) 슬롯 형상(形狀)에 따른 자속밀도(磁束密度) 해석(解析))

  • Oh, Young-Soo;Lee, Eun-Woong;Lee, Dong-Ju;Moon, Jae-Yun
    • Proceedings of the KIEE Conference
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    • 1998.07a
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    • pp.299-301
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    • 1998
  • The torque characteristic of an induction motor is affected greatly by the slot shape at which the conductors of the rotor are located. In this paper, the three analysis model; general type, deep slot type, double squirrel-cage type, of which the slot shapes are different, were analyzed by FEM at no load, at rated load, and at standstill respectively. The flux distribution and air-gap flux density were also obtained. From the above result, it was confirmed that the analysis models of deep slot and double squirrel-cage had more desirable characteristics than those of general squirrel-cage.

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The characteristics of deep slot outside rotor type IM (외측 회전자형 심구형 유도전동기의 특성)

  • 김현수;안병원;김성환
    • Journal of Advanced Marine Engineering and Technology
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    • v.26 no.1
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    • pp.30-36
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    • 2002
  • This paper presents a developed deep slot squirrel cage induction motor fur the fan. Nearly all of the induction motors consist of two parts, rotor and stator, and the position of rotor is generally inside of stator. However, the rotor of the developed induction motor is located outside of stator. It is believed that the outside rotor type induction motor is suitable for the fan due to its large inertia, that is, it is considered that the change of air flow rate resulting from input power or load fluctuation is reduced. It is considered that the results of this paper can be used for the development of the outside rotor type induction motor.

Deep Recurrent Neural Network for Multiple Time Slot Frequency Spectrum Predictions of Cognitive Radio

  • Tang, Zhi-ling;Li, Si-min
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.11 no.6
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    • pp.3029-3045
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    • 2017
  • The main processes of a cognitive radio system include spectrum sensing, spectrum decision, spectrum sharing, and spectrum conversion. Experimental results show that these stages introduce a time delay that affects the spectrum sensing accuracy, reducing its efficiency. To reduce the time delay, the frequency spectrum prediction was proposed to alleviate the burden on the spectrum sensing. In this paper, the deep recurrent neural network (DRNN) was proposed to predict the spectrum of multiple time slots, since the existing methods only predict the spectrum of one time slot. The continuous state of a channel is divided into a many time slots, forming a time series of the channel state. Since there are more hidden layers in the DRNN than in the RNN, the DRNN has fading memory in its bottom layer as well as in the past input. In addition, the extended Kalman filter was used to train the DRNN, which overcomes the problem of slow convergence and the vanishing gradient of the gradient descent method. The spectrum prediction based on the DRNN was verified with a WiFi signal, and the error of the prediction was analyzed. The simulation results proved that the multiple slot spectrum prediction improved the spectrum efficiency and reduced the energy consumption of spectrum sensing.

Analysis of Starting Torque and Speed Characteristics for Squirrel Cage Induction Motor According to Material Properties of Rotor Slot

  • Kim, Young Sun
    • Transactions on Electrical and Electronic Materials
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    • v.16 no.6
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    • pp.328-333
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    • 2015
  • Squirrel cage induction motors have mostly been used for their small capacity because the starting torque is smaller than the starting current during start-up. However, as more and more mid-to-large capacity motors are developed, the demands for improvements in performance characteristics have also increased. In this study, the starting characteristics of squirrel cage induction motors were analyzed based on the rotor materials and shapes using a finite element method to provide design data suitable for different use purposes and capacities. We further completed analysis by combining electromagnetic equations deduced from Maxwell’s equations and the circuit equations of stators and rotors. A moving coordinator was introduced to rotate the rotor during the analysis, and the torques calculated via the finite element method were combined with the motion equations to calculate the position and angular velocity of the rotors at the next time, thereby analyzing the transient characteristics. The analysis results of the transient characteristics were applied to a 3-phase 4-pole 5-hp induction motor to calculate the starting torque, speed, and rotation angle of the rotors. In the reference model, the materials and shapes of the rotor slot were changed to copper and silicon copper and a deep slot, shallow slot, and long-neck-shaped slot.

TSCH-Based Scheduling of IEEE 802.15.4e in Coexistence with Interference Network Cluster: A DNN Approach

  • Haque, Md. Niaz Morshedul;Koo, Insoo
    • International Journal of Internet, Broadcasting and Communication
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    • v.14 no.1
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    • pp.53-63
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    • 2022
  • In the paper, we propose a TSCH-based scheduling scheme for IEEE 802.15.4e, which is able to perform the scheduling of its own network by avoiding collision from interference network cluster (INC). Firstly, we model a bipartite graph structure for presenting the slot-frame (channel-slot assignment) of TSCH. Then, based on the bipartite graph edge weight, we utilize the Hungarian assignment algorithm to implement a scheduling scheme. We have employed two features (maximization and minimization) of the Hungarian-based assignment algorithm, which can perform the assignment in terms of minimizing the throughput of INC and maximizing the throughput of own network. Further, in this work, we called the scheme "dual-stage Hungarian-based assignment algorithm". Furthermore, we also propose deep learning (DL) based deep neural network (DNN)scheme, where the data were generated by the dual-stage Hungarian-based assignment algorithm. The performance of the DNN scheme is evaluated by simulations. The simulation results prove that the proposed DNN scheme providessimilar performance to the dual-stage Hungarian-based assignment algorithm while providing a low execution time.

A Triple Band Deep-Tissue Antenna for Biomedical Implants (심부 조직 인체 삽입용 세 가지 밴드 안테나)

  • Yoo, Hyoungsuk
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.66 no.2
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    • pp.383-386
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    • 2017
  • In this study, we introduce a triple-band flexible implantable antenna that is tuned by using a ground slot in three specific bands, namely Medical Implanted Communication Service (MICS: 402-405 MHz) for telemetry, the midfield band (lower gigahertz: 1.45-1.6 GHz) for Wireless Power Transfer (WPT), and the Industrial, Scientific and Medical band (ISM: 2.4-2.45 GHz) for power conservation. This antenna is wrapped inside a printed 3D capsule prototype to show its applicability in different implantable or ingestible devices. The telemetry performance of the proposed antenna was simulated and measured by using a porcine heart. From the simulation and measurement, we found that use of a ground slot in the implantable antenna can improve the antenna performance and can also reduce the Specific Absorption Rate (SAR).

Verification on the Compressive Behavior of Corrugated Steel Plates due to Details of Bolted Lap Joint (압축하중을 받는 파형강판 연결부 상세에 따른 구조거동 분석)

  • Oh, Hong Seob;Nam, Ki Wook
    • Journal of the Korea institute for structural maintenance and inspection
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    • v.16 no.1
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    • pp.9-17
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    • 2012
  • This study is dealt with the experimental seam strength of deep corrugated steel plate which is used as underpasses, storm sewers and other buried applications. The soil-metal structure using deep corrugated plate should be sufficient to ensure safety for compressive loading. The experimental and theoretical results on the seam strength are accumulated enough to take the design guideline, even if the seam strength at the bolt connected lap joint in construction site can be varied depending on the connection detailing and the thickness of plate. In this study, compressive behavior of bolted lap jointed plates using various connection detail such as gasket, slot hole, washer was experimentally analyzed. From the test, failure pattern with an increases in the thickness of specimens was changed from plate bearing to bolt shearing. In case of thicker plates than 6.0mm, the structural performance of lap joint using gasket and slot hole is more effective than it of the plate adopted washer.

Development of Novel Joint Device for a Disposal Canister in Deep Borehole Disposal (고준위폐기물 심부시추공 처분을 위한 처분용기 접속장치의 개발)

  • LEE, Minsoo;LEE, Jongyoul;JI, Sung-Hoon
    • Journal of Nuclear Fuel Cycle and Waste Technology(JNFCWT)
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    • v.16 no.2
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    • pp.261-270
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    • 2018
  • In this study, to replace the 'J-slot joint', a joint device between a disposal canister and an emplacement jig in Deep Borehole Disposal process, a novel joint device was designed and tested. The novel joint device was composed of a wedge on top of a disposal canister and a hook box at the end of a winch system. The designed joint device had merits in that it can recombine an emplaced canister freely without the replacement of the joint component. Moreover, it can be applied to various emplacement jigs such as drill pipes, wire-lines, and coiled tubing. To demonstrate the designed joint device, the joint device (${\Phi}110mm$, H 148 mm), a twin canister string (${\Phi}140mm$, H 1,105 mm), and a water tube (${\Phi}150mm$, H 1,500 mm) as a borehole model were manufactured at 1/3 scale. As deployment muds, Na-type bentonite (MX-80) and Ca-type (GJ II) bentonite muds were prepared at solid contents of 7wt% and 28wt%, respectively. The manufactured joint device showed good performance in pure water and viscous muds, with an operation speed of $10m{\cdot}min^{-1}$. It was concluded that the newly developed joint device can be used for the emplacement and retrieval of a deep disposal canister, below 3~5 km, in the future.

T-Commerce Sale Prediction Using Deep Learning and Statistical Model (딥러닝과 통계 모델을 이용한 T-커머스 매출 예측)

  • Kim, Injung;Na, Kihyun;Yang, Sohee;Jang, Jaemin;Kim, Yunjong;Shin, Wonyoung;Kim, Deokjung
    • Journal of KIISE
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    • v.44 no.8
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    • pp.803-812
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    • 2017
  • T-commerce is technology-fusion service on which the user can purchase using data broadcasting technology based on bi-directional digital TVs. To achieve the best revenue under a limited environment in regard to the channel number and the variety of sales goods, organizing broadcast programs to maximize the expected sales considering the selling power of each product at each time slot. For this, this paper proposes a method to predict the sales of goods when it is assigned to each time slot. The proposed method predicts the sales of product at a time slot given the week-in-year and weather of the target day. Additionally, it combines a statistical predict model applying SVD (Singular Value Decomposition) to mitigate the sparsity problem caused by the bias in sales record. In experiments on the sales data of W-shopping, a T-commerce company, the proposed method showed NMAE (Normalized Mean Absolute Error) of 0.12 between the prediction and the actual sales, which confirms the effectiveness of the proposed method. The proposed method is practically applied to the T-commerce system of W-shopping and used for broadcasting organization.

The characteristics of deep slot outside rotor type IM (외측 회전형 심구형 유도전동기의 특성)

  • 안병원;박영산;노영오;배철오
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2000.10a
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    • pp.547-552
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    • 2000
  • This paper presents a developed squirrel cage induction motor for axial flow In. Nearly all of the induction motors for fan consists of two parts, rotor and stator, and the position of rotor is located inside of stator. This construction restricts the air flow rate, otherwise requires bending duct. But developed squirrel cage induction motor for axial flow fan exchanged the position each other. So, we can reduce the weight and size about 30%, and there are no bending duct to locate the fan motor.

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