• Title/Summary/Keyword: Initial position detection

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Synchronization Method in PJM Mode of 13.56 MHz RFID (13.56MHz RFID PJM 모드의 동기화 방법)

  • Youn, Jae-Hyuk;Yang, Hoon-Gee;Yang, Sung-Hyun;Kang, Bong-Soon;Bae, Ji-Hoon;Choi, Gil-Young
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.34 no.12B
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    • pp.1506-1513
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    • 2009
  • This paper presents a synchronization method to determine the exact demodulation time using the MFM Flag of the 18000-3 PJM mode, along with the hardware structure to implement the proposed method. The proposed system detects an incipient peak using ITS(Initial Time Selector) and a correlator and achieves the final synchronization via identifying the peak position from the comparison of the outputs of two followed additional correlators. The peak detection algorithm and the choice of the templates of the correlators are described. Simulation results show that the proposed system performs successfully in noisy environment.

Envelope Generation for Freeform Objects (자유 곡면체의 엔벨롭 생성)

  • 송수창;김재정
    • Korean Journal of Computational Design and Engineering
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    • v.6 no.2
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    • pp.89-100
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    • 2001
  • Swept volume is the sweeping region of moving objects. It is used in various applications such as interference detection in assembly design, visualization of manipulator motions in robotics, simulation of the volume removal by a cutter in NC machining. The shape of swept volume is defined by the envelope, which is determined by the boundary of moving objects and its direction of motion. In order to implement the generation of swept volume, researchers have taken much effort to develop the techniques how to generate the envelope. However, their results are confined to envelope generated only in simple shape objects, such as polyhedra or quadric surfaces. This study provided the envelope generation algorithm of NURBS objects. Characteristic points were obtained by applying the geometric conditions of envelope to NURBS equations, and then characteristic curves were created by means of interpolating those points. Silhouette edges were determined in the following procedures. First, two adjacent surfaces which have the same edge were found from B-Rep data. Then, by taking the scalar product of velocity vector of a point on that edge with each normal vector on two surfaces, silhouette edges were discriminated. Finally, envelope was generated along moving direction in the form of ruled surfaces by using both the partial information between initial and final position of objects affecting envelope along with characteristic curves and silhouette edge. Since this developed algorithm can be applied not only to NURBS objects but also to their Boolean objects, it can be used effectively in various applications.

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Optimizations for Mobile MIMO Relay Molecular Communication via Diffusion with Network Coding

  • Cheng, Zhen;Sun, Jie;Yan, Jun;Tu, Yuchun
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.16 no.4
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    • pp.1373-1391
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    • 2022
  • We investigate mobile multiple-input multiple-output (MIMO) molecular communication via diffusion (MCvD) system which is consisted of two source nodes, two destination nodes and one relay node in the mobile three-dimensional channel. First, the combinations of decode-and-forward (DF) relaying protocol and network coding (NC) scheme are implemented at relay node. The adaptive thresholds at relay node and destination nodes can be obtained by maximum a posteriori (MAP) probability detection method. Then the mathematical expressions of the average bit error probability (BEP) of this mobile MIMO MCvD system based on DF and NC scheme are derived. Furthermore, in order to minimize the average BEP, we establish the optimization problem with optimization variables which include the ratio of the number of emitted molecules at two source nodes and the initial position of relay node. We put forward an iterative scheme based on block coordinate descent algorithm which can be used to solve the optimization problem and get optimal values of the optimization variables simultaneously. Finally, the numerical results reveal that the proposed iterative method has good convergence behavior. The average BEP performance of this system can be improved by performing the joint optimizations.

Problems of Stator Flux Estimation in DTC of PMSM Drives

  • Kadjoudj, M.;Golea, N.;Benbouzid, M.E.H
    • Journal of Electrical Engineering and Technology
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    • v.2 no.4
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    • pp.468-477
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    • 2007
  • The DTC of voltage source inverter-fed PMSMs is based on hysteresis controllers of torque and flux. It has several advantages, namely, elimination of the mandatory rotor position sensor, less computation time, and rapid torque response. In addition, the stator resistance is the only parameter, which should be known, and no reference frame transformation is required. The DTC theory has achieved great success in the control of induction motors. However, for the control of PMSM drives proposed a few years ago, there are many basic theoretical problems that must be clarified. This paper describes an investigation into the effect of the zero voltage space vectors in the DTC system and points out that if using it rationally, not only can the DTC of the PMSM drive be driven successfully, but torque and flux ripples are reduced and overall performance of the system is improved. The implementation of DTC in PMSM drives is described and the switching tables specific for an interior PMSM are derived. The conventional eight voltage-vector switching table, which is namely used in the DTC of induction motors does not seem to regulate the torque and stator flux in a PMSM well when the motor operates at low speed. Modelling and simulation studies have both revealed that a six voltage-vector switching table is more appropriate for PMSM drives at low speed. In addition, the sources of difficulties, namely, the error in the detection of the initial rotor position, the variation of stator resistance, and the offsets in measurements are analysed and discussed.

Active Shape Model-based Objectionable Image Detection (활동적 형태 모델을 이용한 유해영상 탐지)

  • Jang, Seok-Woo;Joo, Seong-Il;Kim, Gye-Young
    • Journal of Internet Computing and Services
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    • v.10 no.5
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    • pp.183-194
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    • 2009
  • In this paper, we propose a new method for detecting objectionable images with an active shape model. Our method first learns the shape of breast lines through principle component analysis and alignment as well as the distribution of intensity values of corresponding landmarks, and then extracts breast lines with the learned shape and intensity distribution. To accurately select the initial position of active shape model, we obtain parameters on scale, rotation, and translation. After positioning the initial location of active shape model using scale and rotation information, iterative searches are performed. We can identify adult images by calculating the average of the distance between each landmark and a candidate breast line. The experiment results show that the proposed method can detect adult images effectively by comparing various results.

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Improved Shape Extraction Using Inward and Outward Curve Evolution (양방향 곡선 전개를 이용한 개선된 형태 추출)

  • Kim Ha-Hyoung;Kim Seong-Kon;Kim Doo-Young
    • Journal of the Institute of Convergence Signal Processing
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    • v.1 no.1
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    • pp.23-31
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    • 2000
  • Iterative curve evolution techniques are powerful methods for image segmentation. Classical methods proposed curve evolutions which guarantee close contours at convergence and, combined with the level set method, they easily handled curve topology changes. In this paper, we present a new geometric active contour model based on level set methods introduced by Osher & Sethian for detection of object boundaries or shape and we adopt anisotropic diffusion filtering method for removing noise from original image. Classical methods allow only one-way curve evolutions : shrinking or expanding of the curve. Thus, the initial curve must encircle all the objects to be segmented or several curves must be used, each one totally inside one object. But our method allows a two-way curve evolution : parts of the curve evolve in the outward direction while others evolve in the inward direction. It offers much more freedom in the initial curve position than with a classical geodesic search method. Our algorithm performs accurate and precise segmentations from noisy images with complex objects(jncluding sharp angles, deep concavities or holes), Besides it easily handled curve topology changes. In order to minimize the processing time, we use the narrow band method which allows us to perform calculations in the neighborhood of the contour and not in the whole image.

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EARLY DETECTION OF BEHCET'S DISEASE (베체트병의 조기 진단)

  • Kim, Seung-Hye;Song, Je-Seon;Choi, Hyung-Jun;Son, Heung-Kyu;Lee, Jae-Ho
    • Journal of the korean academy of Pediatric Dentistry
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    • v.36 no.4
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    • pp.575-579
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    • 2009
  • Behcet's disease(BD) is a multisystem vasculitis that almost any organ in the body may be involved. Its diagnosis bases on clinical criteria in the absence of any specific laboratory test to confirm it. The clinical criteria proposed for the diagnosis for BD include recurrent oral and genital ulceration, skin lesion, ocular changes, and positive response to pathergy test. Besides these essential features, BD may manifest itself on the gastrointestinal tract, central nervous system, and other systemic involvements. Among these clinical features, recurrent oral ulcers are present in most BD patients, often as the initial symptom, preceding other manifestations by many years. Therefore, dentists are in the important position for the early detection and diagnosis of BD. In this case report, we are presenting a case of 6 year-old girl, who came to the pediatric dentistry department for evaluation and treatment of pain and dysphagia caused by severe recurrent oral ulcers. Through taking detailed dental and medical history and clinical examination, we reported the possibility of BD to the medical team and prescribed topical lidocaine to relief pain during swallowing. The medical team, which involved pediatrics, ophthalmology, dermatology, and gastroenterology, finally confirmed BD through various examinations. Detection of the possibility of BD in the dental field helped early diagnosis and proper management by the medical team.

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Accuracy Comparisons between Traditional Adjustment and Least Square Method (최소제곱법을 적용한 지적도근점측량 계산의 정확도 분석)

  • Lee, Jong-Min;Jung, Wan-Suk;Lee, Sa-Hyung
    • Journal of Cadastre & Land InformatiX
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    • v.45 no.2
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    • pp.117-130
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    • 2015
  • A least squares method for adjusting the horizontal network satisfies the conditions which is minimizing the sum of the squares of errors based on probability theory. This research compared accuracy of 3rd cadastral control points adjusted by traditional and least square method with respect to the result of Network-RTK. Test results showed the least square method more evenly distribute closure error than traditional method. Mean errors of least square and traditional adjusting method are 2.7cm, 2.2cm respectively. In addition, blunder in angle observations can be detected by comparing position errors which calculated by forward and backward initial coordinates. However, distance blunder cannot offer specific observation line occurred mistake because distance error propagates several observation lines which have similar directions.

Detection of Aesthetic Measure from Stabilized Image and Video (정지영상과 동영상에서 미도의 추출)

  • Rhee, Yang-Won;Choi, Byeong-Seok
    • Journal of the Korea Society of Computer and Information
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    • v.17 no.11
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    • pp.33-38
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    • 2012
  • An free-fall object is received only force of gravity. Movement that only accept gravity is free-fall movement, and a free-falling object is free falling body. In other words, free falling body is only freely falling objects under the influence of gravity, regardless of the initial state of objects movement. In this paper, we assume, ignoring the resistance of the air, and the free-fall acceleration by the height does not change within the range of the short distance in the vertical direction. Under these assumptions, we can know about time and maximum height to reach the peak point from jumping vertically upward direction, time and speed of the car return to the starting position, and time and speed when the car fall to the ground. It can be measured by jumping degree and risk of accident from car or motorcycle in telematics.

Active Object Tracking based on stepwise application of Region and Color Information (지역정보와 색 정보의 단계적 적용에 의한 능동 객체 추적)

  • Jeong, Joon-Yong;Lee, Kyu-Won
    • The KIPS Transactions:PartB
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    • v.19B no.2
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    • pp.107-112
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    • 2012
  • An active object tracking algorithm using Pan and Tilt camera based in the stepwise application of region and color information from realtime image sequences is proposed. To reduce environment noises in input sequences, Gaussian filtering is performed first. An image is divided into background and objects by using the adaptive Gaussian mixture model. Once the target object is detected, an initial search window close to an object region is set up and color information is extracted from the region. We track moving objects in realtime by using the CAMShift algorithm which enables to trace objects in active camera with the color information. The proper tracking is accomplished by controlling the amount of pan and tilt to be placed the center position of object into the middle of field of view. The experimental results show that the proposed method is more effective than the hand-operated window method.