• Title/Summary/Keyword: Combine system

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A New Architecture of Instant Message Service with Multiple Servers (다중서버 방식의 새로운 인스턴트메시지 서비스 구조)

  • Jang, Choonseo;Lee, Ky-Soo
    • Journal of the Korea Society of Computer and Information
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    • v.18 no.11
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    • pp.99-106
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    • 2013
  • In Instant message service, the server should process instant messages and request messages which include many presence resources for users. And it also precesses massive notification messages generating from the subscribed presence resources. In this paper a new architecture of instant message service with multiple servers which can distribute loads efficiently as the number of users increases has been suggested. It also provides various functions to users using extended call processing language. The user subscribes presence information and call processing language script which describes user's functions. The server processes instant messages, presence services and call processing language scripts. New extended presence information data structure has been suggested and new call processing language operation tags have been added. Therefore extendability of the system can be increased and various services which combine presence service and call processing can be provided in this system. Furthermore instant message processing module has been integrated in the server to decrease the amount of SIP(Session Initiation Protocol) messages, and it also improves system efficiency, The performance of our proposed system has been analysed by experiments.

A Study on Satisfaction of Service by the Models of Informal-formal Resources Linkages for Long-term Care Elder (장기요양대상노인의 비공식적·공식적 자원연계 유형에 따른 서비스 만족도 연구)

  • Kim, Geum-Yeol
    • 한국노년학
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    • v.30 no.4
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    • pp.1027-1044
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    • 2010
  • This study is to examine the effective system for providing services for long-term care elders, despite the expansion of formal care, informal care still is needed. Thus, this study's purpose is to classify the informal-formal resources linkages types of long-term care elders and looks into service satisfaction by these types and discover effective informal-formal resources linkages models. For that, this study is to divide informal-formal resources linkages types by the degree of providing services of informal and formal caregivers and discover the informal-formal resources linkages types using cluster analysis and explores the effectiveness of service satisfaction using multiple regression. The study's results is to suggest four models, such as family care, complementary, separation, formal service and complementary type was founded to be the most effective and then based on the result, we discuss as follows. First, we must strive to combine informal resources into formal service systemto the system for providing of service is made up the complementary type. Second, the system for providing services of long-term care elders is required integrated care system to alining of medical and long-term care services. Third, we have to consider a measure to improve of formal service type, for the satisfaction of formal service appears low relatively. Based on research findings, this study propose that the informal-formal resources linkages models are subdivided into the dimension of quantity and quality of care for improving the effectiveness of long-term care services.

Design Optimization of a Type-I Heterojunction Tunneling Field-Effect Transistor (I-HTFET) for High Performance Logic Technology

  • Cho, Seong-Jae;Sun, Min-Chul;Kim, Ga-Ram;Kamins, Theodore I.;Park, Byung-Gook;Harris, James S. Jr.
    • JSTS:Journal of Semiconductor Technology and Science
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    • v.11 no.3
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    • pp.182-189
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    • 2011
  • In this work, a tunneling field-effect transistor (TFET) based on heterojunctions of compound and Group IV semiconductors is introduced and simulated. TFETs based on either silicon or compound semiconductors have been intensively researched due to their merits of robustness against short channel effects (SCEs) and excellent subthreshold swing (SS) characteristics. However, silicon TFETs have the drawback of low on-current and compound ones are difficult to integrate with silicon CMOS circuits. In order to combine the high tunneling efficiency of narrow bandgap material TFETs and the high mobility of III-V TFETs, a Type-I heterojunction tunneling field-effect transistor (I-HTFET) adopting $Ge-Al_xGa_{1-x}As-Ge$ system has been optimized by simulation in terms of aluminum (Al) composition. To maximize device performance, we considered a nanowire structure, and it was shown that high performance (HP) logic technology can be achieved by the proposed device. The optimum Al composition turned out to be around 20% (x=0.2).

3D Transmitting Boundary for Water-Saturated Transversely Isotropic Soil Strata Based on the u-w Formulation (u-w 정식화에 근거한 지하수로 포화된 가로등방성 층상지반에서의 3차원 전달경계)

  • Lee, Jin-Ho;Kim, Jae-Kwan;Ryu, Jeong-Soo
    • Journal of the Earthquake Engineering Society of Korea
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    • v.13 no.6
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    • pp.67-86
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    • 2009
  • In this study, a 3D transmitting boundary in water-saturated transversely isotropic soil strata has been developed based on u-w formulation for application to general 3D analysis. Behavior in the far field region is expanded in the Fourier series, and dynamic stiffness for each term is obtained based on the u-w formulation. Transformation of the dynamic stiffness is presented to combine the transmitting boundary with the 3D finite elements for the near field region formulated in a 3D Cartesian coordinate system. The developed transmitting boundary is verified through a comparison of the dynamic behavior of a rigid circular foundation with the results from the existing numerical method. In addition, the developed transmitting boundary is applied to the analysis of the dynamic behavior of rigid foundations of diverse shapes, and the effects of the level of the groundwater table on the dynamic stiffness of a rigid rectangular foundation in the water-saturated transversely isotropic layered stratum are studied.

Optimization of Bio-Methane Gas Enrichment Process for City Gas Supply (도시가스용 바이오가스 메탄농축공정 최적화)

  • Ko, Sang-Wook;Lee, Kyung Jin;Moon, Myong Hwan;Baek, Ju Hong;Ko, Jae Wook
    • Journal of the Korean Institute of Gas
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    • v.21 no.4
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    • pp.76-83
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    • 2017
  • Biogas, combine with ever-increasing natural gas demand, has been on the center stage in South Korea for the early part of twenty first century in an effort to reduce the emission of global warming gases. With the passage of legal system of City Gas Business Law in 2014, the biogas has its place of production and distribution to consumers. However, it has a room for its technological improvements in terms of enrichment, by separating carbon dioxide and removing impurities efficiently. For these improvements, four different methane enrichment processes were tested in this study; membrane separation, water absorption, Chemical Absorption and Adsorption. A variety of operation scenarios were applied to the processes and the best practices were drawn out. The optimum process was selected based on case study results. Methane produced in this study showed 97% purity and 98% recovery rate, which meets the requirements of the City Gas quality standards.

Using 3D Deep Convolutional Neural Network with MRI Biomarker patch Images for Alzheimer's Disease Diagnosis (치매 진단을 위한 MRI 바이오마커 패치 영상 기반 3차원 심층합성곱신경망 분류 기술)

  • Yun, Joo Young;Kim, Kyeong Tae;Choi, Jae Young
    • Journal of Korea Multimedia Society
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    • v.23 no.8
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    • pp.940-952
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    • 2020
  • The Alzheimer's disease (AD) is a neurodegenerative disease commonly found in the elderly individuals. It is one of the most common forms of dementia; patients with AD suffer from a degradation of cognitive abilities over time. To correctly diagnose AD, compuated-aided system equipped with automatic classification algorithm is of great importance. In this paper, we propose a novel deep learning based classification algorithm that takes advantage of MRI biomarker images including brain areas of hippocampus and cerebrospinal fluid for the purpose of improving the AD classification performance. In particular, we develop a new approach that effectively applies MRI biomarker patch images as input to 3D Deep Convolution Neural Network. To integrate multiple classification results from multiple biomarker patch images, we proposed the effective confidence score fusion that combine classification scores generated from soft-max layer. Experimental results show that AD classification performance can be considerably enhanced by using our proposed approach. Compared to the conventional AD classification approach relying on entire MRI input, our proposed method can improve AD classification performance of up to 10.57% thanks to using biomarker patch images. Moreover, the proposed method can attain better or comparable AD classification performances, compared to state-of-the-art methods.

A Study of Fusion Image System and Simulation based on Mutual Information (상호정보량에 의한 이미지 융합시스템 및 시뮬레이션에 관한 연구)

  • Kim, Yonggil;Kim, Chul;Moon, Kyungil
    • Journal of The Korean Association of Information Education
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    • v.19 no.1
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    • pp.139-148
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    • 2015
  • The purpose of image fusion is to combine the relevant information from a set of images into a single image, where the resultant fused image will be more informative and complete than any of the input images. Image fusion techniques can improve the quality and increase the application of these data important applications of the fusion of images include medical imaging, remote sensing, and robotics. In this paper, we suggest a new method to generate a fusion image using the close relation of image features obtained through maximum entropy threshold and mutual information. This method represents a good image registration in case of using a blurring image than other image fusion methods.

A Case Study of Back-analysis Technique in Tunnelling Using Extended Bayesian Method and Relative Convergence Measurement (확장 Baysian 방법과 상대변위를 이용한 터널 역해석 기법의 적용사례연구)

  • Lee In-Mo;Choi Min-Kwang;Cho Kook-Hwan;Lee Geun-Ha;Choi Chung-Sik
    • Journal of the Korean Geotechnical Society
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    • v.21 no.3
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    • pp.109-118
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    • 2005
  • It is a very difficult task to estimate engineering properties of the ground when designing underground structures, especially in tunnelling. Therefore, a feed-back system to combine the data measured in construction field with priorly estimated information at the design stage is necessary. In this paper, 3-dimensional back-analysis in tunnelling, to which only relative convergence is applied as input values, is carried out to estimate the optimum geotechnical parameters. For this purpose, the Extended Bayesian Method (EBM), which appropriately combines the objective information with the subjective one, is applied to optimize engineering parameters and 3-dimensional numerical analysis is carried out to predict a trend of relative convergence occurrence. The data measured from two tunnelling sites are used to verify the applicability of the proposed back-analysis technique. from the results of analysis, the proposed back-analysis technique is verified.

Hybrid Filter Based on Neural Networks for Removing Quantum Noise in Low-Dose Medical X-ray CT Images

  • Park, Keunho;Lee, Hee-Shin;Lee, Joonwhoan
    • International Journal of Fuzzy Logic and Intelligent Systems
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    • v.15 no.2
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    • pp.102-110
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    • 2015
  • The main source of noise in computed tomography (CT) images is a quantum noise, which results from statistical fluctuations of X-ray quanta reaching the detector. This paper proposes a neural network (NN) based hybrid filter for removing quantum noise. The proposed filter consists of bilateral filters (BFs), a single or multiple neural edge enhancer(s) (NEE), and a neural filter (NF) to combine them. The BFs take into account the difference in value from the neighbors, to preserve edges while smoothing. The NEE is used to clearly enhance the desired edges from noisy images. The NF acts like a fusion operator, and attempts to construct an enhanced output image. Several measurements are used to evaluate the image quality, like the root mean square error (RMSE), the improvement in signal to noise ratio (ISNR), the standard deviation ratio (MSR), and the contrast to noise ratio (CNR). Also, the modulation transfer function (MTF) is used as a means of determining how well the edge structure is preserved. In terms of all those measurements and means, the proposed filter shows better performance than the guided filter, and the nonlocal means (NLM) filter. In addition, there is no severe restriction to select the number of inputs for the fusion operator differently from the neuro-fuzzy system. Therefore, without concerning too much about the filter selection for fusion, one could apply the proposed hybrid filter to various images with different modalities, once the corresponding noise characteristics are explored.

Mechanical and biological complication rates of the modified lateral-screw-retained implant prosthesis in the posterior region: an alternative to the conventional Implant prosthetic system

  • Lee, Jae-Hong;Lee, Jong-Bin;Kim, Man-Yong;Yoon, Joon-Ho;Choi, Seong-Ho;Kim, Young-Taek
    • The Journal of Advanced Prosthodontics
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    • v.8 no.2
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    • pp.150-157
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    • 2016
  • PURPOSE. The modified lateral-screw-retained implant prosthesis (LSP) is designed to combine the advantages of screw- and cement-retained implant prostheses. This retrospective study evaluated the mechanical and biological complication rates of implant-supported single crowns (ISSCs) inserted with the modified LSP in the posterior region, and determined how these complication rates are affected by clinical factors. MATERIALS AND METHODS. Mechanical complications (i.e., lateral screw loosening [LSL], abutment screw loosening, lateral screw fracture, and ceramic fracture) and biological complications (i.e., peri-implant mucositis [PM] and peri-implantitis) were identified from the patients' treatment records, clinical photographs, periapical radiographs, panoramic radiographs, and clinical indices. The correlations between complication rates and the following clinical factors were determined: gender, age, position in the jaw, placement location, functional duration, clinical crown-to-implant length ratio, crown height space, and the use of a submerged or nonsubmerged placement procedure. RESULTS. Mechanical and biological complications were present in 25 of 73 ISSCs with the modified LSP. LSL (n=11) and PM (n=11) were the most common complications. The incidence of mechanical complications was significantly related to gender (P=.018). The other clinical factors were not significantly associated with mechanical and biological complication rates. CONCLUSION. Within the limitations of this study, the incidence of mechanical and biological complications in the posterior region was similar for both modified LSP and conventional implant prosthetic systems. In addition, the modified LSP is amenable to maintenance care, which facilitates the prevention and treatment of mechanical and biological complications.