• Title/Summary/Keyword: hybrid network

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Optimal Time Slot Assignment Algorithm for Combined Unicast and Multicast Packets

  • Lee, Heyung-Sub;Joo, Un-Gi;Lee, Hyeong-Ho;Kim, Whan-Woo
    • ETRI Journal
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    • v.24 no.2
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    • pp.172-175
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    • 2002
  • This paper considers a packet-scheduling algorithm for a given combined traffic of unicast and multicast data packets and proposes a hybrid router with several dedicated buses for multicast traffic. Our objective is to develop a scheduling algorithm that minimizes schedule length for the given traffic in the hybrid router. We derive a lower bound and develop an optimal solution algorithm for the hybrid router.

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Personal Data Security in Recruitment Platforms

  • Bajoudah, Alya'a;AlSuwat, Hatim
    • International Journal of Computer Science & Network Security
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    • v.22 no.6
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    • pp.310-318
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    • 2022
  • Job offers have become more widespread and it has become easier and faster to apply for jobs through electronic recruitment platforms. In order to increase the protection of the data that is attached to the recruitment platforms. In this research, a proposed model was created through the use of hybrid encryption, which is used through the following algorithms: AES,Twofish,. This proposed model proved the effectiveness of using hybrid encryption in protecting personal data.

Design of a Dynamically Reconfigurable Switch for Hybrid Network-on-Chip Systems (Hybrid Noc 시스템을 위한 재구성 가능한 스위치 설계)

  • Lee, Dong-Yeol;Hwang, Sun-Young
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.34 no.8B
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    • pp.812-821
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    • 2009
  • This paper proposes a novel dynamically reconfigurable switch for various multimedia applications in hybrid NoC systems. Current NoC systems, which adopt hybrid NoC structure with fixed switch and job distribution algorithms, require designers to precisely predict the property of applications to be processed. This paper proposes a reconfigurable switch which minimizes buffer overflow in various multimedia applications running on an NoC system. To verify the performance of the proposed system, we performed experiments on various multimedia applications running on embedded systems, such as MPEG4 and MP3 decoder, GPS positioning system, and OFDM demodulator. Experimental results show that buffer overflow has been decreased by 41.8% and 29.0%, respectively, when compared with NoC systems having sub-clusters with mesh or star topology. Power usage has been increased by 2.3% compared with hybrid NoC systems using fixed switches, and chip area has been increased from -0.6% to 5.7% depending on sub-cluster topology.

Control validation of Peugeot 3∞8 HYbrid4 Vehicle Using a Reduced-scale Power HIL Simulation

  • Letrouve, Tony;Lhomme, Walter;Bouscayrol, Alain;Dollinger, Nicolas
    • Journal of Electrical Engineering and Technology
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    • v.8 no.5
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    • pp.1227-1233
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    • 2013
  • The new engineering challenges lead to a control of a vehicle more and more complex. To tackle this issue, Hardware-In-the-Loop (HIL) simulation is used in the development of real-time embedded systems. In this paper, the control of a double parallel hybrid vehicle is validated using a reduced power HIL simulation. A graphical description is used in order to organize the emulation and control. Some experimental results of a versatile testbed are given for the Peugeot $3{\infty}8$ HYbrid4.

Intelligent FMC Scheduling Utilizing Neural Network and Expert System (신경회로망과 전문가시스템에 의한 FMC의 지능형 스케쥴링)

  • 박승규;이창훈;김유남;장석호;우광방
    • Journal of Institute of Control, Robotics and Systems
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    • v.4 no.5
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    • pp.651-657
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    • 1998
  • In this study, an intelligent scheduling with hybrid architecture, which integrates expert system and neural network, is proposed. Neural network is trained with the data acquired from simulation model of FMC to obtain the knowledge about the relationship between the state of the FMC and its best dispatching rule. Expert system controls the scheduling of FMC by integrating the output of neural network, the states of FMS, and user input. By applying the hybrid system to a scheduling problem, the human knowledge on scheduling and the generation of non-logical knowledge by machine teaming, can be processed in one scheduler. The computer simulation shows that comparing with MST(Minimum Slack Time), there is a little increment in tardness, 5% growth in flow time. And at breakdown, tardness is not increased by expert system comparing with EDD(Earliest Due Date).

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Speed Estimation and Control of IPMSM Drive with HAI Controller (HAI 제어기에 의한 IPMSM 드라이브의 속도 추정 및 제어)

  • Lee Hong-Gyun;Lee Jung-Chul;Chung Dong-Hwa
    • The Transactions of the Korean Institute of Electrical Engineers D
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    • v.54 no.4
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    • pp.220-227
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    • 2005
  • This paper presents hybrid artificial intelligent(HAI) controller based on the vector controlled IPMSM drive system. And it is based on artificial technologies that adaptive neural network fuzzy(A-NNF) is to speed control and artificial neural network(ANN) is to speed estimation. The salient feature of this technique is the HAI controller The hybrid action tolerates any inaccuracies in the fuzzy logic assignment rules or in the neural network stationary weights. Speed estimators using feedforward multilayer and artificial neural network(ANN) are compared. The back-propagation algorithm is easy to derived the estimated speed tracks precisely the actual motor speed. This paper presents the theoretical analysis as well as the simulation results to verify the effectiveness of the new hybrid intelligent control.

A Study on Routing Protocol using C-NODE for Mobile Ad-Hoc Networking (Mobile Ad-hoc Networking에서의 C-NODE를 이용한 Routing Protocol에 관한 연구)

  • Choi, Bong-Han
    • Journal of the Korea Society of Computer and Information
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    • v.11 no.1 s.39
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    • pp.195-201
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    • 2006
  • This thesis proposes hybrid routing protocol that mix proactive routing protocol and reactive routing protocol used in Ad hoc network. Proposed method is that establish special node offering network service of nods which construct Ad hoc network and do routing different from existing hybrid routing protocol, ZRP. Special node doing these parts is called C-node. Routing using C-node can accompany efficient routing by decreasing path institution time and flooding time than existing routing protocol.

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Face Recognition using a Hybrid Neural Network (혼합형 신경회로망을 이용한 얼굴 인식)

  • Jung Kyung-Kwon;Lim Joong-Kyu;Kim Joo-Woong;Lee Hyun-Kwan;Eom Ki-Hwan
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2006.05a
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    • pp.800-803
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    • 2006
  • In this paper, we propose a method for improving the performance of the face recognition using a hybrid neural network. The propose method focused on improving face recognition technique using SOM and LVQ. In order to verify the effectiveness of the proposed method, we performed simulations on face database supplied ORL. The results show that the proposed method considerably improves on the performance of the eigenface, hidden markov model, multilayer neural network.

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SDN-based Hybrid Distributed Mobility Management

  • Wie, Sunghong
    • Journal of information and communication convergence engineering
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    • v.17 no.2
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    • pp.97-104
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    • 2019
  • Distributed mobility management (DMM) does not use a centralized device. Its mobility functions are distributed among routers; therefore, the mobility services are not limited to the performance and reliability of specific mobility management equipment. The DMM scheme has been studied as a partially distributed architecture, which distributes only a packet delivery domain in combination with the software defined network (SDN) technology that separates the packet delivery and control areas. Particularly, a separated control area is advantageous in introducing a new service, thereby optimizing the network by recognizing the entire network situation and taking an optimal decision. The SDN-based mobility management scheme is studied as a method to optimize the packet delivery path whenever a mobile node moves; however, it results in excessive signaling processing cost. To reduce the high signaling cost, we propose a hybrid distributed mobility management method and analyze its performance mathematically.

A Hybrid Routing Protocol Based on Bio-Inspired Methods in a Mobile Ad Hoc Network

  • Alattas, Khalid A
    • International Journal of Computer Science & Network Security
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    • v.21 no.1
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    • pp.207-213
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    • 2021
  • Networks in Mobile ad hoc contain distribution and do not have a predefined structure which practically means that network modes can play the role of being clients or servers. The routing protocols used in mobile Ad-hoc networks (MANETs) are characterized by limited bandwidth, mobility, limited power supply, and routing protocols. Hybrid routing protocols solve the delay problem of reactive routing protocols and the routing overhead of proactive routing protocols. The Ant Colony Optimization (ACO) algorithm is used to solve other real-life problems such as the travelling salesman problem, capacity planning, and the vehicle routing challenge. Bio-inspired methods have probed lethal in helping to solve the problem domains in these networks. Hybrid routing protocols combine the distance vector routing protocol (DVRP) and the link-state routing protocol (LSRP) to solve the routing problem.