• Title/Summary/Keyword: VM selection

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Whole-Genome Characterization of Alfalfa Mosaic Virus Obtained from Metagenomic Analysis of Vinca minor and Wisteria sinensis in Iran: with Implications for the Genetic Structure of the Virus

  • Moradi, Zohreh;Mehrvar, Mohsen
    • The Plant Pathology Journal
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    • v.37 no.6
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    • pp.619-631
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    • 2021
  • Alfalfa mosaic virus (AMV), an economically important pathogen, is present worldwide with a very wide host range. This work reports for the first time the infection of Vinca minor and Wisteria sinensis with AMV using RNA sequencing and reverse transcription polymerase chain reaction confirmation. De novo assembly and annotating of contigs revealed that RNA1, RNA2, and RNA3 genomic fragments consist of 3,690, 2,636, and 2,057 nucleotides (nt) for IR-VM and 3,690, 2,594, and 2,057 nt for IR-WS. RNA1 and RNA3 segments of IR-VM and IR-WS closely resembled those of the Chinese isolate HZ, with 99.23-99.26% and 98.04-98.09% nt identity, respectively. Their RNA2 resembled that of Canadian isolate CaM and American isolate OH-2-2017, with 97.96-98.07% nt identity. The P2 gene revealed more nucleotide diversity compared with other genes. Genes in the AMV genome were under dominant negative selection during evolution, and the P1 and coat protein (CP) proteins were subject to the strongest and weakest purifying selection, respectively. In the population genetic analysis based on the CP gene sequences, all 107 AMV isolates fell into two main clades (A, B) and isolates of clade A were further divided into three groups with significant subpopulation differentiation. The results indicated moderate genetic variation within and no clear geographic or genetic structure between the studied populations, implying moderate gene flow can play an important role in differentiation and distribution of genetic diversity among populations. Several factors have shaped the genetic structure and diversity of AMV: selection, recombination/reassortment, gene flow, and random processes such as founder effects.

Fuzzy Logic Based Temporal Error Concealment for H.264 Video

  • Lee, Pei-Jun;Lin, Ming-Long
    • ETRI Journal
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    • v.28 no.5
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    • pp.574-582
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    • 2006
  • In this paper, a new error concealment algorithm is proposed for the H.264 standard. The algorithm consists of two processes. The first process uses a fuzzy logic method to select the size type of lost blocks. The motion vector of a lost block is calculated from the current frame, if the motion vectors of the neighboring blocks surrounding the lost block are discontinuous. Otherwise, the size type of the lost block can be determined from the preceding frame. The second process is an error concealment algorithm via a proposed adapted multiple-reference-frames selection for finding the lost motion vector. The adapted multiple-reference-frames selection is based on the motion estimation analysis of H.264 coding so that the number of searched frames can be reduced. Therefore the most accurate mode of the lost block can be determined with much less computation time in the selection of the lost motion vector. Experimental results show that the proposed algorithm achieves from 0.5 to 4.52 dB improvement when compared to the method in VM 9.0.

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Reduction Efficiency Analysis of Furrow Vegetation and PAM (Polyacrylamide) Mulching for Non-Point Source Pollution Load from Sloped Upland During Farming Season (경사밭 고랑 식생 및 PAM (Polyacrylamide) 멀칭에 따른 영농기 비점오염 저감효과 분석)

  • Yeob, So-Jin;Kim, Min-Kyeong;An, Nan-Hee;Choi, Soon-Kun
    • Journal of The Korean Society of Agricultural Engineers
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    • v.65 no.4
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    • pp.1-10
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    • 2023
  • As a result of climate change, non-point source pollution (NPS) from farmland with the steep slope during the rainy season is expected to have a significant impact on the water system. This study aimed to evaluate the effect of furrow mulching using alfalfa and PAM (Polyacrylamide) materials for each rainfall event, while considering the load characteristics of NPS. The study was conducted in Wanju-gun, Jeollabuk-do, in 2022, with a testbed that had a slope of 13%, sandy loam soil, and maize crops. The testbed was composed of four plots: bare soil (Bare), No mulching (Cont.), Vegetation mulching (VM), and PAM mulching (PM). Runoff was collected from each rainfall event using a 1/40 sampler and the NPS load was calculated by measuring the concentrations of SS, T-N, T-P, and TOC. During farming season, the reduction efficiency of NPS load was 37.1~59.5% for VM and 38.2~75.7% for PM. The analysis found that VM had a linear regression correlation (R2=0.28~0.86, P-value=0.01~0.1) with elapsed time of application, while PM had a quadratic regression correlation (R2=0.35~0.80, P-value=0.1). These results suggest that the selection of furrow mulch materials and the appropriate application method play a crucial role in reducing non-point pollution in farmland. Therefore, further studies on the time-series reduction effect based on the application method are recommended to develop more effective preemptive reduction technologies.

A Design of Simulator for Storage Migration Model Selection in Cloud Computing (클라우드 컴퓨팅 환경에서 Storage Migration 기법 선정을 위한 시뮬레이터 설계)

  • Chang, Jun-Hyup;Jeon, Chang-Ho;Lee, Won-Joo
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2011.06a
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    • pp.15-16
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    • 2011
  • 본 논문에서는 클라우드 컴퓨팅 환경에서 저장공간 이주(storage migration)시에 저장공간의 읽기/쓰기 비율을 고려한 저장공간 복제 모델 선정을 위한 실험 환경을 설계한다. 기존의 저장공간 이주 모델은 가상머신과 저장공간중에 저장공간이 먼저 이주하는 선복제(pre-copy)와 나중에 이주하는 후복제(post-copy)가 있다. 이러한 복제 기법은 VM과 저장공간 이주의 필요성과 그 방법만을 제안하였으며, 성능 향상을 위한 이주 기법 선정 방법은 제시하지 못하였다. 따라서 본 논문에서는 클라우드 컴퓨팅 환경에서 다양한 스토리지의 읽기/쓰기 비율에 따른 이주 모델 선정 기법을 실험할 수 있는 시뮬레이터 설계 방법을 제시한다.

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CADRAM - Cooperative Agents Dynamic Resource Allocation and Monitoring in Cloud Computing

  • Abdullah, M.;Surputheen, M. Mohamed
    • International Journal of Computer Science & Network Security
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    • v.22 no.3
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    • pp.95-100
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    • 2022
  • Cloud computing platform is a shared pool of resources and services with various kind of models delivered to the customers through the Internet. The methods include an on-demand dynamically-scalable form charged using a pay-per-use model. The main problem with this model is the allocation of resource in dynamic. In this paper, we have proposed a mechanism to optimize the resource provisioning task by reducing the job completion time while, minimizing the associated cost. We present the Cooperative Agents Dynamic Resource Allocation and Monitoring in Cloud Computing CADRAM system, which includes more than one agent in order to manage and observe resource provided by the service provider while considering the Clients' quality of service (QoS) requirements as defined in the service-level agreement (SLA). Moreover, CADRAM contains a new Virtual Machine (VM) selection algorithm called the Node Failure Discovery (NFD) algorithm. The performance of the CADRAM system is evaluated using the CloudSim tool. The results illustrated that CADRAM system increases resource utilization and decreases power consumption while avoiding SLA violations.

The Influence of Traffic Information based on VMS(Variable Message Sign) on the Selection of Drivers' Route (VMS(Variable Message Sign)를 통한 교통정보 제공이 운전자의 운행경로 전환에 미치는 영향 분석)

  • Jung, Hun Young;Son, Su Ran;Lee, Jeong Ho
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.31 no.2D
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    • pp.193-201
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    • 2011
  • The provision of traffic information plays an important role in increasing social benefit not only by saving travel time for individuals but also by improving the efficiency of road operation. VMS(Variable Message Sign) helps on-wheel drivers easily understand the road situation, and also provides real-time traffic information to people on the streets. However, it has not been sufficiently studied on how traffic information based on VMS influences on the drivers' selection of route. This study investigated how drivers use VMS traffic information and how they are satisfied with it. Then, the model of drivers' route selection was specified with the types of traffic information and the expected travel time to examine the influence on the selection of drivers' route. The model was estimated and analyzed in three types according to the condition of detour roads, and the rate of route change and the degree of sensitivity was calculated from the estimation. The results of analysis are as follows. the $1^{st}$ type model showed the 10% of route change for the travel time saving of 5minutes, and the 81.6% of route change for the travel time saving of 20minutes. The $2^{nd}$ type led to the range of route change from 14.2% to 92.7% over the 5 through 20 minutes of travel time saving. The $3^{rd}$ model resulted in the 99.1% of route change. The sensitivity of route change showed the highest for the travel time saving of 11 minutes with the $1^{st}$ type model, 9 minutes with the $2^{nd}$ type model, and 5 minutes with the $3^{rd}$ type model respectively.

Efficient Resource Recommendation System for Cloud Market Computing (클라우드 마켓 컴퓨팅을 위한 효율적인 리소스 추천시스템)

  • Han, Seung-Min;Huh, Eui-Nam;Youn, Chang-Woo
    • Journal of Internet Computing and Services
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    • v.11 no.3
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    • pp.121-129
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    • 2010
  • In recent years, Cloud computing is gaining much popularity as it can efficiently utilize the computing resources and hence can contribute to the issue of green IT. So to make the Cloud services commercialized, Cloud markets are necessary and are being developed. As the increasing numbers of various Cloud services are rapidly evolving in the Cloud market, how to select the best and optimal services will be a great challenge. In this paper we present a Cloud service selection framework in the Cloud market that uses a recommender system (RS) which helps a user to select the best services from different Cloud providers (CP) that matches his/her requirements. The RS recommends a service based on the QoS and Virtual Machine (VM) factors of difference CPs. The experimental results show that our Cloud service recommender system (CSRS) can effectively recommend a good combination of Cloud services to consumers.

Quantization Level Selection of Intra-Frame for MPEG-4 Video Encoder (MPEG-4 부호화기에서의 인트라 프레임 양자화 레벨 선정)

  • Kim Jeong Woo;Cho Seong Hwan
    • Journal of Korea Multimedia Society
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    • v.8 no.1
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    • pp.9-18
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    • 2005
  • This paper presents the method of calculating the quantization level of the intra-frame in MPEG-4 video encoder. The intra-frame is an essential part in that the quality of the whole GOP is affected by the quality of this frame since the intra-frame, which works as a reference frame within GOP, continuously propagates through other frames. This work proposes how to use bits assigned for gaining the quantization level of the intra-frame, complexity of input images, and GOP structures. The result shows that while existing approaches have the decline in efficiency by using fixed values or show different qualifies depending on the characteristics of the images, the current approach shows the steady results in various images. Comparing with Q2 algorithm obtained in MPEG-4 VM, the approach suggested in this paper gains the benefit of maximum 3.49dB with some variations depending on the characteristics of the images.

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Efficient Resource Management Framework on Grid Service (그리드 서비스 환경에서 효율적인 자원 관리 프레임워크)

  • Song, Eun-Ha;Jeong, Young-Sik
    • Journal of KIISE:Computer Systems and Theory
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    • v.35 no.5
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    • pp.187-198
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    • 2008
  • This paper develops a framework for efficient resource management within the grid service environment. Resource management is the core element of the grid service; therefore, GridRMF(Grid Resource Management Framework) is modeled and developed in order to respond to such variable characteristics of resources as accordingly as possible. GridRMF uses the participation level of grid resource as a basis of its hierarchical management. This hierarchical management divides managing domains into two parts: VMS(Virtual Organization Management System) for virtual organization management and RMS(Resource Management System) for metadata management. VMS mediates resources according to optimal virtual organization selection mechanism, and responds to malfunctions of the virtual organization by LRM(Local Resource Manager) automatic recovery mechanism. RMS, on the other hand, responds to load balance and fault by applying resource status monitoring information into adaptive performance-based task allocation algorithm.

A Study of Driver's Response to Variable Message Sign Using Evolutionary Game Theory (진화 게임을 이용한 VMS 정보에 따른 운전자의 행태 연구)

  • Kim, Joo Young;Na, Sung Yong;Lee, Seungjae;Kim, Youngho
    • Journal of Korean Society of Transportation
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    • v.32 no.5
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    • pp.554-566
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    • 2014
  • An objective of VMS(Variable Message Signs) is to make transportation system effective specifically for driver's path selection. The traffic solutions including a VMS problem can be modeled through Game Theory, however, the majority of the studies can not model various driver's response according to VMS information in game theory. So, this paper tries to analyze a driver's response according to VMS traffic informations through evolutionary game theory. We apply a behavior characteristics of driver to evolutionary game theory, then finds drivers are only accepting in case of the biggest pay-off, and if a traffic flow finds a balance over time, ratio of accepting information is converged as an evolutionary stable state gradually. Consequently, the strategy of the other drivers such as traffic problems can not be predicted accurately. In case, drivers repeat between groups and reasonable judgment by the experience, we expect that VMS can provide strategic information through evolutionary game theory.