• Title/Summary/Keyword: network storage

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Design and Implementation of Key Frame Sharing Application in Android Using Chord Protocol

  • Kim, Kang Wook
    • Journal of Korea Multimedia Society
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    • v.17 no.4
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    • pp.405-412
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    • 2014
  • Due to the popularity of mobile phones, Peer-to-Peer (P2P) content sharing in mobile phones is highly desirable, especially in a mobile data connection. In addition, there has been an increasing demand for content sharing applications for P2P communication in Android-based smartphones as ubiquitous mobile devices. However, due to wireless network limits, unstable characteristic and restricted storage space, mobile users confront challenges in establishing connections and sharing video frames with other users. To solve this issue, we propose an architectural design and implementation of key frame sharing application that uses Chord, a distributed lookup protocol to establish a content sharing platform for mobile devices, combined with the Chord SDK based on Android. Our proposed system enables users easily to share key information on video data in real-time over a wireless network without manual processing of devices which join or leave the group and cost associated with the 3G/4G network.

A Sloshing Analysis of Storage Tank using Multi-layer Perceptron Artificial Neural Network (다층퍼셉트론 인공신경망을 이용한 저장탱크 슬로싱해석)

  • Kim, Hyun-Soo;Lee, Young-Shin
    • Proceedings of the KSME Conference
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    • 2004.04a
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    • pp.491-496
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    • 2004
  • The oscillation of the fluid caused by external forces is called sloshing, which occurs in moving vehicles with contained liquid masses, such as aircraft. cars and liquid rocket and so on. This sloshing effect could be a severe problem in vehicle stability and control. So, various baffles are used in order to reduce the sloshing. The Lagrangian, Eulerian and ALE numerical method is widely used on the analysis of sloshing presently. But, these numerical methods are needed so many CPU time. In this study, for the reduction of the sloshing analysis time, me multi.layer perceptron artificial neural network is introduced and analysis results are presented.

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Comparison of Harmonic Compensation Based on Wound/Squirrel-Cage Rotor Type Induction Motors With Flywheel (플라이휠을 장착한 농형/권선형 전동기를 이용한 두 고조파 보상 시스템의 비교)

  • 김윤호;이경훈;양성혁;박경수
    • Journal of the Korean Society for Railway
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    • v.4 no.1
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    • pp.16-22
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    • 2001
  • This paper describes two different systems which can compensate harmonic currents generated in the power system. As non-linear loads increase gradually in industry fields, harmonic current generated in the electric power network system also increases. Harmonic current makes a power network current distorted and generates heat, vibration, noise in the power machinery. Many approaches have been applied to compensate harmonic currents generated in the power network system. Among various approaches, in this paper, two kinds of approaches are compared and evaluated. They are flywheel compensator based on secondary excitation of wounded rotor induction motor(WRIM) and primary excitation of squirrel cage induction motor(SCIM). Both systems have a common structure. They use a flywheel as a energy storage device and use PWM inverters.

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Design of Model of Evidence System using the Single Cryptology and Network IP Tracking (1회용 암호와 네트워크 IP Tracking을 이용한 인증시스템의 설계)

  • Chae, Byeung-Soo;Tcha, Hong-Jun
    • The Journal of Korea Institute of Information, Electronics, and Communication Technology
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    • v.2 no.2
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    • pp.87-95
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    • 2009
  • This research attempted to build up a system of security and identification for storage devices in a communication network. This identification Network System will configure security of information encoded and any computer data-medium by control of the access right of the user.

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Study on Data Processing of the IOT Sensor Network Based on a Hadoop Cloud Platform and a TWLGA Scheduling Algorithm

  • Li, Guoyu;Yang, Kang
    • Journal of Information Processing Systems
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    • v.17 no.6
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    • pp.1035-1043
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    • 2021
  • An Internet of Things (IOT) sensor network is an effective solution for monitoring environmental conditions. However, IOT sensor networks generate massive data such that the abilities of massive data storage, processing, and query become technical challenges. To solve the problem, a Hadoop cloud platform is proposed. Using the time and workload genetic algorithm (TWLGA), the data processing platform enables the work of one node to be shared with other nodes, which not only raises efficiency of one single node but also provides the compatibility support to reduce the possible risk of software and hardware. In this experiment, a Hadoop cluster platform with TWLGA scheduling algorithm is developed, and the performance of the platform is tested. The results show that the Hadoop cloud platform is suitable for big data processing requirements of IOT sensor networks.

Content-Adaptive Model Update of Convolutional Neural Networks for Super-Resolution

  • Ki, Sehwan;Kim, Munchurl
    • Proceedings of the Korean Society of Broadcast Engineers Conference
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    • 2020.11a
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    • pp.234-236
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    • 2020
  • Content-adaptive training and transmission of the model parameters of neural networks can boost up the SR performance with higher restoration fidelity. In this case, efficient transmission of neural network parameters are essentially needed. Thus, we propose a novel method of compressing the network model parameters based on the training of network model parameters in the sense that the residues of filter parameters and content loss are jointly minimized. So, the residues of filter parameters are only transmitted to receiver sides for different temporal portions of video under consideration. This is advantage for image restoration applications with receivers (user terminals) of low complexity. In this case, the user terminals are assumed to have a limited computation and storage resource.

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Introduction of Soil Network(Gold Network) as one of the Ecological Network (생태네트워크로서의 토양네트워크(Gold Network) 제안)

  • Lee, Dong-Kun;Lee, Hochul;Kim, Eunyoung;Song, Wonkyong;Kim, Young Ja;Hwang, Sangyeon
    • Journal of the Korean Society of Environmental Restoration Technology
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    • v.16 no.1
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    • pp.245-257
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    • 2013
  • Lately, besides promoting the biodiversity of the natural ecosystems, there is a demand for climate change mitigation features that will reduce greenhouse gases and prevent disasters that will bring damages such as torrential rains. However, there was not a lot of discussion on the soils that are key in these features. Therefore, this paper proposes a network (Gold Network) as an alternative that will solve the problem that was filed earlier by figuring out how to compose the soil environment. First, in order to maximize the ecological status and value of the soil, a soil network can be proposed through the vertical and horizontal connections of the fragmented soil. Second, there is a need to understand and research the organic system of the ecosystems as well as the complex perspective of the ecosystem services, not only the fragmentary perspectives of the soil remediation, planting improvements or the other existing elements. Third, there is a need to apply the integrated perspective of the Landscape Ecology, Ecological Engineering and Restoration Ecology for the connectivity of the soil (network) due to it being in the execution of the soil network. If a soil network was to be built, a fundamental ecological network would be realized to not only promote biodiversity but also to prepare effective adaptation to climate change.

One-D Model Prediction of Pollutant Transport at a Canal Network (수로망에서의 오염물질 확산의 1차원 예측)

  • Lee, Jung-Lyul;Hsiang Wang
    • Journal of Korean Society of Coastal and Ocean Engineers
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    • v.6 no.1
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    • pp.51-60
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    • 1994
  • A one-dimensional numerical model has been developed through a Lagragian formulation, which is applicable to advection and diffusion of dissolved matters in storages. The study was conducted to the pollutants released into a canal network in Burnt Store Isles, Punta Gorda, Florida. USA. The hydrodynamic model was developed by using an implicit finite difference scheme. In the computational domain, the network system consists of prismatic channels and storages. The finger canals and small tributaries ale treated as storages in the simplified flow network The numerical results show relatively good agreement with field experiments.

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LOCATION UNCERTAINTY IN ASSET TRACKING USING WIRELESS SENSOR NETWORKS

  • Jo, Jung-Hee;Kim, Kwang-Soo;Lee, Ki-Sung;Kim, Sun-Joong
    • Proceedings of the KSRS Conference
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    • 2007.10a
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    • pp.357-360
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    • 2007
  • An asset tracking using wireless sensor network is concerned with geographical locations of sensor nodes. The limited size of sensor nodes makes them attractable for tracking service, at the same time their size causes power restrictions, limited computation power, and storage restrictions. Due to such constrained capabilities, the wireless sensor network basically assumes the failure of sensor nodes. This causes a set of concerns in designing asset tracking system on wireless sensor network and one of the most critical factors is location uncertainty of sensor nodes. In this paper, we classify the location uncertainty problem in asset tracking system into following cases. First, sensor node isn't read at all because of sensor node failure, leading to misunderstanding that asset is not present. Second, incorrect location is read due to interference of RSSI, providing unreliable location of asset. We implemented and installed our asset tracking system in a real environment and continuously monitored the status of asset and measured error rate of location of sensor nodes. We present experimental results that demonstrate the location uncertainty problem in asset tracking system using wireless sensor network.

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Applicability of Several Skeletonization Methods for the Transient Analysis in the Water Distribution System (상수관망 부정류 해석을 위한 관망 간략화 방법에 대한 연구)

  • Lee, Jong-Pil;Kim, Hyung-Guen;Kim, Sang-Hyun;Lee, Hyun-Dong
    • Proceedings of the Korea Water Resources Association Conference
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    • 2004.05b
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    • pp.521-526
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    • 2004
  • It is necessary to analyze the unsteady flow in the pipe network for the better operation and controls, but there are some problems in actual pipe network simulation, such as collecting a large amount of information in the field, operating highly upgraded computer system, and keeping a big storage device to run analysis program. The skeletonization method is used to cope with the problems in this paper. It is expected to reduce computation time, researcher's efforts, and costs for the analyzing the pipe network. The impact of individual pipe elements to the behavior of the water distribution system can be accounted in the process of skeletonization. However it is also important to study continuously about how to apply the skeletonization method for each of different cases, because inadequate uses may bring simulation to a false result. This paper introduces basic theories and skeletonizing examples in the actual pipe network in Dae-gu city.

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