• Title/Summary/Keyword: TCP/IP (Transmission Control Protocol/internet protocol)

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A Multibit Tree Bitmap based Packet Classification (멀티 비트 트리 비트맵 기반 패킷 분류)

  • 최병철;이정태
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.29 no.3B
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    • pp.339-348
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    • 2004
  • Packet classification is an important factor to support various services such as QoS guarantee and VPN for users in Internet. Packet classification is a searching process for best matching rule on rule tables by employing multi-field such as source address, protocol, and port number as well as destination address in If header. In this paper, we propose hardware based packet classification algorithm by employing tree bitmap of multi-bit trio. We divided prefixes of searching fields and rule into multi-bit stride, and perform a rule searching with multi-bit of fixed size. The proposed scheme can reduce the access times taking for rule search by employing indexing key in a fixed size of upper bits of rule prefixes. We also employ a marker prefixes in order to remove backtracking during searching a rule. In this paper, we generate two dimensional random rule set of source address and destination address using routing tables provided by IPMA Project, and compare its memory usages and performance.

Hardware-in-the-loop Simulation Method for a Wind Farm Controller Using Real Time Digital Simulator

  • Kim, Gyeong-Hun;Kim, Jong-Yul;Jeon, Jin-Hong;Kim, Seul-Ki;Kim, Eung-Sang;Lee, Ju-Han;Park, Minwon;Yu, In-Keun
    • Journal of Electrical Engineering and Technology
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    • v.9 no.5
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    • pp.1489-1494
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    • 2014
  • A hardware-in-the-loop simulation (HILS) method for a wind farm controller using a real time digital simulator (RTDS) is presented, and performance of the wind farm controller is analyzed. A 100 MW wind farm which includes 5 MW wind power generation systems (WPGS) is modeled and analyzed in RSCAD/RTDS. The wind farm controller is implemented by using a computer, which is connected to the RTDS through transmission control protocol/internet protocol (TCP/IP). The HILS results show the active power and power factor of the wind farm, which are controlled by the wind farm controller. The proposed HILS method in this paper can be effectively utilized to validate and test a wind farm controller under the environment in practice without a real wind farm.

The Implementation Methodology of Client-Server Architecture for Distributed Measurement System (분산 계측 시스템을 위한 클라이언-서버 아키텍쳐 구현 방안)

  • Song, Min-Gyu;Byun, Do-Young;Je, Do-Heung;Kim, Kwang-Dong;Roh, Duk-Gyoo;Oh, Se-Jin;Lee, Bo-Ahn
    • Proceedings of the KIEE Conference
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    • 2004.11c
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    • pp.441-443
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    • 2004
  • With the rapid development of the Internet over the recent years, in conjunction with the transmission protocol TCP/IP and the latest version of hypertext(HTML) facilities, new opportunities have come into existence for the use of the network for the remote control of experiments and the other practical systems in engineering education. Using graphical software environments in client-server systems, remote control and monitoring system can be easily designed. Client-server systems have some general advantages when compared with simple Remote-Access Systems. In this paper we present a client-server architecture for the distributed measurement system of instrumentation over the Internet. The proposed solution allows multi-user, multi-instruments sessions to be obtained by means of a queuing process and provides instrument lock capability. Client applications can be easily developed by using conventional high-level programming languages or well-assessed virtual instrumentation frameworks.

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Implementation of Smart Shopping Cart using Object Detection Method based on Deep Learning (딥러닝 객체 탐지 기술을 사용한 스마트 쇼핑카트의 구현)

  • Oh, Jin-Seon;Chun, In-Gook
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.21 no.7
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    • pp.262-269
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    • 2020
  • Recently, many attempts have been made to reduce the time required for payment in various shopping environments. In addition, for the Fourth Industrial Revolution era, artificial intelligence is advancing, and Internet of Things (IoT) devices are becoming more compact and cheaper. So, by integrating these two technologies, access to building an unmanned environment to save people time has become easier. In this paper, we propose a smart shopping cart system based on low-cost IoT equipment and deep-learning object-detection technology. The proposed smart cart system consists of a camera for real-time product detection, an ultrasonic sensor that acts as a trigger, a weight sensor to determine whether a product is put into or taken out of the shopping cart, an application for smartphones that provides a user interface for a virtual shopping cart, and a deep learning server where learned product data are stored. Communication between each module is through Transmission Control Protocol/Internet Protocol, a Hypertext Transmission Protocol network, a You Only Look Once darknet library, and an object detection system used by the server to recognize products. The user can check a list of items put into the smart cart via the smartphone app, and can automatically pay for them. The smart cart system proposed in this paper can be applied to unmanned stores with high cost-effectiveness.