• Title/Summary/Keyword: virtual network

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Design of Robust Controller and Virtual Model of Remote Control System using LQG/LTR (LQG/LTR 기법을 적용한 원격제어시스템의 가상모델과 강건제어기의 설계)

  • Jin, Tae-Seok
    • Journal of the Korean Society of Industry Convergence
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    • v.25 no.2_2
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    • pp.193-198
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    • 2022
  • In this paper, we introduce the improved control method are communicated between a master and a slave robot in the teleoperation systems. When the master and slave robots are located in different places, time delay is unavoidable under the network environment and it is well known that the system can become unstable when even a small time delay exists in the communication channel. The time delay may cause instability in teleoperation systems especially if those systems include haptic feedback. This paper presents a control scheme based on the estimator with virtual master model in teleoperation systems over the network. As the behavior of virtual model is tracking the one of master model, the operator can control real master robot by manipulating the virtual robot. And LQG/LTR scheme was adopted for the compensation of un-modeled dynamics. The approach is based on virtual master model, which has been implemented on a robot over the network. Its performance is verified by the computer simulation and the experiment.

Perception of Virtual Assistant and Smart Speaker: Semantic Network Analysis and Sentiment Analysis (가상 비서와 스마트 스피커에 대한 인식과 기대: 의미 연결망 분석과 감성분석을 중심으로)

  • Park, Hohyun;Kim, Jang Hyun
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2018.10a
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    • pp.213-216
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    • 2018
  • As the advantages of smart devices based on artificial intelligence and voice recognition become more prominent, Virtual Assistant is gaining popularity. Virtual Assistant provides a user experience through smart speakers and is valued as the most user friendly IoT device by consumers. The purpose of this study is to investigate whether there are differences in people's perception of the key virtual assistant brand voice recognition. We collected tweets that included six keyword form three companies that provide Virtual Assistant services. The authors conducted semantic network analysis for the collected datasets and analyzed the feelings of people through sentiment analysis. The result shows that many people have a different perception and mainly about the functions and services provided by the Virtual Assistant and the expectation and usability of the services. Also, people responded positively to most keywords.

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High-revenue Online Provisioning for Virtual Clusters in Multi-tenant Cloud Data Center Network

  • Lu, Shuaibing;Fang, Zhiyi;Wu, Jie
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.13 no.3
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    • pp.1164-1183
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    • 2019
  • The rapid development of cloud computing and high requirements of operators requires strong support from the underlying Data Center Networks. Therefore, the effectiveness of using resources in the data center networks becomes a point of concern for operators and material for research. In this paper, we discuss the online virtual-cluster provision problem for multiple tenants with an aim to decide when and where the virtual cluster should be placed in a data center network. Our objective is maximizing the total revenue for the data center networks under the constraints. In order to solve this problem, this paper divides it into two parts: online multi-tenancy scheduling and virtual cluster placement. The first part aims to determine the scheduling orders for the multiple tenants, and the second part aims to determine the locations of virtual machines. We first approach the problem by using the variational inequality model and discuss the existence of the optimal solution. After that, we prove that provisioning virtual clusters for a multi-tenant data center network that maximizes revenue is NP-hard. Due to the complexity of this problem, an efficient heuristic algorithm OMS (Online Multi-tenancy Scheduling) is proposed to solve the online multi-tenancy scheduling problem. We further explore the virtual cluster placement problem based on the OMS and propose a novel algorithm during the virtual machine placement. We evaluate our algorithms through a series of simulations, and the simulations results demonstrate that OMS can significantly increase the efficiency and total revenue for the data centers.

A Machine Learning-based Method for Virtual Network Function Resource Demand Prediction (기계학습 기반의 가상 네트워크 기능 자원 수요 예측 방법)

  • Kim, Hee-Gon;Lee, Do-Young;Yoo, Jae-Hyung;Hong, James Won-Ki
    • KNOM Review
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    • v.21 no.2
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    • pp.1-9
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    • 2018
  • Network virtualization refers to a technology creating independent virtual network environment on a physical network. Network virtualization technology can share the physical network resources to reduce the cost of establishing the network for each user and enables the network administrator to dynamically change the network configuration according to the purpose. Although the network management can be handled dynamically, the management is manual, and it does not maximize the profit of network virtualization. In this paper, we propose Machine-Learning technology to allow the network to learn by itself and manage its management dynamically. The proposed approach is to dynamically allocate appropriate resources by predicting resource demand of VNF in service function chaining, which is a core and essential problem in virtual network management. Our goal is to predict the resource demand of the VNF and dynamically allocate the appropriate resources to reduce the cost of network operation while preventing service interruption.

System Design for the Implementation of Virtual Laboratory (가상 실험실 구현을 위한 시스템 설계)

  • Song Min-Gyu
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.6 no.6
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    • pp.547-554
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    • 2005
  • Virtual Laboratory is the new concept in the field of Control & Measurement as network technology development, it is used in many university and institute nowadays. It is possible to control and measure the instrument in anywhere, anytime by the use of Virtual Laboratory and we can raise the efficiency of experiment. In this paper, we review the concept and necessity of Virtual Laboratory at first and discuss about how we can implement Virtual Laboratory. Then we design framework of Client-Server based Virtual Laboratory fur operating of remote instrument through network, and finally we suggest system model of Virtual Laboratory capable of controlling & monitoring of instrument.

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Virtual Assets as the Newest Object of Property Rights

  • Davydova, Iryna;Zhurylo, Serhii;Tserkovna, Olena;Herasymchuk, Lidiia;Tokareva, Vira
    • International Journal of Computer Science & Network Security
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    • v.22 no.5
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    • pp.115-120
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    • 2022
  • New realities of social relations are changing the understanding of certain phenomena, including the emergence of new concepts among the objects of property rights, such as: virtual assets, and the circulation of virtual assets. The rapid development of the virtual assets market involves the legislative consolidation of the status of such assets, changes in taxation, their circulation, and so on. These circumstances increase the interest in the study of virtual assets as the latest object of property rights and necessitate the study of this topic. The work aims to explore the theoretical developments and regulations on virtual assets in the modern world, as well as to summarize the conclusions about virtual assets as the latest object of property rights. The object of research is the content of the concept of "virtual asset" and its legal status. The methodology of work is represented by a set of methods and techniques that were used to achieve this goal, namely: hermeneutic, historical, extrapolation, comparative law, generalization, analysis, synthesis, and deduction. The study analyzed different approaches to understanding virtual assets, analyzed the characteristics of virtual assets, and concluded that in today's conditions there is no single unified legal regulation of virtual assets, although many countries are moving towards consolidating the status of virtual assets.

VIMS: Design and Implementation of Virtual Network Integrated Control and Management Framework over National Research Network (연구망에서 가상네트워크 통합제어플랫폼 구현 및 실험)

  • Cho, Ilkwon;Kang, Sun-Moo
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.37B no.10
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    • pp.877-888
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    • 2012
  • Network virtualization technology is a crucial research issue of Future Internet which pursues a service-oriented architecture so-called NaaS (Network as a Service) or SDN (Software Defined Network). Network virtualization is expected to play an important role in Future Internet researches as a network testbed technology which enables innovative protocols to be experimented independently on a common testbed environment. We propose a control framework in order to provide user defined topology and bandwidth services with network virtualization and to separate and manage multiple-user traffics in a small and medium scale - single domain research network. The proposed framework (VIMS; Virtual network Integrated control and Management System) supports testbed expansions without any changes of heterogeneous virtual network support equipments through accommodation of each equipment's control plane. The framework shows a feasibility through applied to KOREN and we describe the differences and further study directions for improvement the framework comparing with GENI control framework.

Recognition of Virtual Written Characters Based on Convolutional Neural Network

  • Leem, Seungmin;Kim, Sungyoung
    • Journal of Platform Technology
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    • v.6 no.1
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    • pp.3-8
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    • 2018
  • This paper proposes a technique for recognizing online handwritten cursive data obtained by tracing a motion trajectory while a user is in the 3D space based on a convolution neural network (CNN) algorithm. There is a difficulty in recognizing the virtual character input by the user in the 3D space because it includes both the character stroke and the movement stroke. In this paper, we divide syllable into consonant and vowel units by using labeling technique in addition to the result of localizing letter stroke and movement stroke in the previous study. The coordinate information of the separated consonants and vowels are converted into image data, and Korean handwriting recognition was performed using a convolutional neural network. After learning the neural network using 1,680 syllables written by five hand writers, the accuracy is calculated by using the new hand writers who did not participate in the writing of training data. The accuracy of phoneme-based recognition is 98.9% based on convolutional neural network. The proposed method has the advantage of drastically reducing learning data compared to syllable-based learning.