• Title/Summary/Keyword: processing adaptability

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An Architecture of Scalable ATM Switching System and Its Call Processing Capacity Estimation

  • Kim, Young-Boo;Lee, Soon-Seok;Oh, Chang-Hwan;Kim, Young-Sun;Han, Chi-Moon;Yim, Chu-Hwan
    • ETRI Journal
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    • v.18 no.3
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    • pp.107-125
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    • 1996
  • In this paper, we define the general requirements of ATM switching systems such as scalability, distributed fashion, and modularity. Also we propose a practical implementation of a scalable ATM switching system whose capacity can be easily expanded. Firstly, the architecture of the system is discussed with an emphasis on system scalability, modularity of subsystems and the simple control network of the design requirements. Secondly, we suggest the three types of distributed call/connection control schemes that are suitable for our switching system. We also estimate their call processing capacity on the average and make a comparison of them under the various system architectures. Since our scalable switching system can be constructed to perform the call processing functions on the various levels of the system capacity, it has much adaptability at the various evolution phases or regions of the network environment.

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Design of the new parallel processing architecture for commercial applications (상용 응용을 위한 병렬처리 구조 설계)

  • 한우종;윤석한;임기욱
    • Journal of the Korean Institute of Telematics and Electronics B
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    • v.33B no.5
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    • pp.41-51
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    • 1996
  • In this paper, anew parallel processing system based on a cluster architecture which provides scalability of a parallel processing system while maintains shared memory multiprocessor characteristics is proposed. In recent days low cost, high performnce microprocessors have led to construction of large scale parallel processing systems. Such parallel processing systems provides large scalability but are mainly used for scientific applications which have large data parallelism. A shared memory multiprocessor system like TICOM is currently used as aserver for the commercial application, however, the shared memory multiprocessor system is known to have very limited scalability. The proposed architecture can support scalability and performance of the parallel processing system while it provides adaptability for the commerical application, hence it can overcome the limitation of the shared memory multiprocessor. The architecture and characteristics of the proposed system shall be described. A proprietary hierarchical crsossbar network is designed for this system, of which the protocol, routing and switching technique and the signal transfer technique are optimized for the proposed architecture. The design trade-offs for the network are described in this paper and with simulation usihng the SES/workbench, it is explored that the network fits to the proposed architecture.

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Two-Level Context Adaptation Method for Context-Aware Applications (상황 인식 응용을 위한 2-레벨 상황 적응 기법)

  • Chim Soo-Jong;Yoon Yong Ik
    • The KIPS Transactions:PartA
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    • v.12A no.6 s.96
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    • pp.477-484
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    • 2005
  • Applications in ubiquitous environments should provide the best services to users by considering the changes of users requirements and service environments, and should adapt service behaviors to the underlying platform's behaviors according to contextual changes. To reflect users requirements actively and provide more flexible services, we propose 2-level context adaptation method for supporting dynamic application adaptability in contextual changes. We offend the range of contexts to users requirements for supporting context adaptation. It can reflect users preferences in offering application services. For application adaptability, we use adaptation policies to allow applications require how they adapt to specific contexts, and to make them react actively on such situations.

Automation of Bio-Industrial Process Via Tele-Task Command(I) -identification and 3D coordinate extraction of object- (원격작업 지시를 이용한 생물산업공정의 생력화 (I) -대상체 인식 및 3차원 좌표 추출-)

  • Kim, S. C.;Choi, D. Y.;Hwang, H.
    • Journal of Biosystems Engineering
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    • v.26 no.1
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    • pp.21-28
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    • 2001
  • Major deficiencies of current automation scheme including various robots for bioproduction include the lack of task adaptability and real time processing, low job performance for diverse tasks, and the lack of robustness of take results, high system cost, failure of the credit from the operator, and so on. This paper proposed a scheme that could solve the current limitation of task abilities of conventional computer controlled automatic system. The proposed scheme is the man-machine hybrid automation via tele-operation which can handle various bioproduction processes. And it was classified into two categories. One category was the efficient task sharing between operator and CCM(computer controlled machine). The other was the efficient interface between operator and CCM. To realize the proposed concept, task of the object identification and extraction of 3D coordinate of an object was selected. 3D coordinate information was obtained from camera calibration using camera as a measurement device. Two stereo images were obtained by moving a camera certain distance in horizontal direction normal to focal axis and by acquiring two images at different locations. Transformation matrix for camera calibration was obtained via least square error approach using specified 6 known pairs of data points in 2D image and 3D world space. 3D world coordinate was obtained from two sets of image pixel coordinates of both camera images with calibrated transformation matrix. As an interface system between operator and CCM, a touch pad screen mounted on the monitor and remotely captured imaging system were used. Object indication was done by the operator’s finger touch to the captured image using the touch pad screen. A certain size of local image processing area was specified after the touch was made. And image processing was performed with the specified local area to extract desired features of the object. An MS Windows based interface software was developed using Visual C++6.0. The software was developed with four modules such as remote image acquisiton module, task command module, local image processing module and 3D coordinate extraction module. Proposed scheme shoed the feasibility of real time processing, robust and precise object identification, and adaptability of various job and environments though selected sample tasks.

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Studies on processing adaptability of rice varieties for the preparation of Jeung pyun (쌀 품종별 증편 가공적성에 관한 연구)

  • 최영희;강미영
    • Journal of the East Asian Society of Dietary Life
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    • v.4 no.3
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    • pp.67-74
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    • 1994
  • The sensory and instrumental characteristics of Jeung pyun made from varietal difference in physicochemical characteristics of rice grain were investigated to obtain the basis information for developing various rice cultivars adaptable to rice food processing. In sensory evaluation of Jeung pyun, aroma, springiness, and stickiness revealed significant difference between the rice cultivars. Acceptability of springiness was highly correlated with amylose content. And loaf volume of Jeung pyun was also highly correlated with the protein content of rice grain. In textural analysis, Jeung pyun made from the higher amylose content rice became harder during storage. Jeung pyun made from the lower alkali digestible rice showed the more sticky and elastic.

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Lane Recognition Algorithm by an Image Processing (영상처리 기반의 차선인식 알고리즘)

  • 이준웅
    • Journal of Institute of Control, Robotics and Systems
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    • v.4 no.6
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    • pp.759-764
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    • 1998
  • We propose a novel algorithm capable of recognizing the road lane by image processing. Considering the fact that the direction and location of road lane are maintained similarly in successive images we formulate a function to represent the property. However, as noises play the role of making a lot of similar patterns appear and disappear in the road image, keeping of robustness in the lane detection has been known a difficult work. To overcome this problem, we introduce the following three ideas: 1) design of a function based on an edge direction and magnitude, 2) construction of a recursive filter to estimate the function recursively for successive images, 3) principal axis-based line fitting. These concepts enhance the adaptability to cope with the random environment of traffic scene and eventually lead to the reliable detection of a road lane.

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An Internet of Things System Architecture for Aiding Firefighters in the Scene of Disaster

  • Lee, Hyesun;Hong, Sang Gi;Lee, Kang Bok
    • Journal of Information Processing Systems
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    • v.14 no.5
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    • pp.1286-1292
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    • 2018
  • To support and protect firefighters in the scene of disaster, this research suggests an Internet of Things (IoT) system architecture that can be configurable and applicable to firefighting and rescue in various disaster situations. The proposed approach provides increased adaptability and reusability of systems compared to existing approaches. To validate the feasibility of the approach, a system of systems based on the architecture was developed and successfully tested for a specific firefighting and rescue scenario in a given test environment.

A Study on the development of intelligent coaxial grinding system (페룰 가공용 지능형 동축 연삭시스템 개발에 관한 연구)

  • Ah, K.J.;Lee, H.J.
    • Proceedings of the KSME Conference
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    • 2004.04a
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    • pp.1092-1098
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    • 2004
  • Today the demand of the optical communication components has been increased. Zirconia Ferrule has become the one of the most important elements because it determines transmission efficiency and quality of information in the optical communication system. Grinding is the major process in the ferrule manufacturing process which require high processing precision. In this reseach, specially designed spindle, chucking system, loading & unloading system and cooling system, as a supporting experimental equipment for development of an Intelligent Coaxial Grinding System (ICGS) for Zirconia Ferrule processing, is developed. We are also analized the adaptability of ICGS in practical use, through the way of evaluation for the performance of the each systems above.

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Gesture Input as an Out-of-band Channel

  • Chagnaadorj, Oyuntungalag;Tanaka, Jiro
    • Journal of Information Processing Systems
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    • v.10 no.1
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    • pp.92-102
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    • 2014
  • In recent years, there has been growing interest in secure pairing, which refers to the establishment of a secure communication channel between two mobile devices. There are a number of descriptions of the various types of out-of-band (OOB) channels, through which authentication data can be transferred under a user's control and involvement. However, none have become widely used due to their lack of adaptability to the variety of mobile devices. In this paper, we introduce a new OOB channel, which uses accelerometer-based gesture input. The gesture-based OOB channel is suitable for all kinds of mobile devices, including input/output constraint devices, as the accelerometer is small and incurs only a small computational overhead. We implemented and evaluated the channel using an Apple iPhone handset. The results demonstrate that the channel is viable with completion times and error rates that are comparable with other OOB channels.

A study on the Adaptive Neural Controller with Chaotic Neural Networks (카오틱 신경망을 이용한 적응제어에 관한 연구)

  • Sang Hee Kim;Won Woo Park;Hee Wook Ahn
    • Journal of the Institute of Convergence Signal Processing
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    • v.4 no.3
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    • pp.41-48
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    • 2003
  • This paper presents an indirect adaptive neuro controller using modified chaotic neural networks(MCNN) for nonlinear dynamic system. A modified chaotic neural networks model is presented for simplifying the traditional chaotic neural networks and enforcing dynamic characteristics. A new Dynamic Backpropagation learning method is also developed. The proposed MCNN paradigm is applied to the system identification of a MIMO system and the indirect adaptive neuro controller. The simulation results show good performances, since the MCNN has robust adaptability to nonlinear dynamic system.

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