Spring Simulation Multiconference最新文献

Model-driven time-accurate DEVS-based approaches for CPS design 基于模型驱动的时间精确的基于devs的CPS设计方法

Spring Simulation Multiconference Pub Date : 2018-04-15 DOI: 10.22360/springsim.2018.mod4sim.009

Abdurrahman Alshareef, H. Sarjoughian

引用次数: 7

Hybrid MPI+OpenMP parallelization of image reconstruction in proton beam therapy on multi-core and many-core processors 多核和多核处理器上质子束治疗图像重建的混合MPI+OpenMP并行化

Spring Simulation Multiconference Pub Date : 2018-04-15 DOI: 10.22360/springsim.2018.hpc.014

James Della-Giustina, C. Barajas, M. Gobbert, D. Mackin, J. Polf

{"title":"Hybrid MPI+OpenMP parallelization of image reconstruction in proton beam therapy on multi-core and many-core processors","authors":"James Della-Giustina, C. Barajas, M. Gobbert, D. Mackin, J. Polf","doi":"10.22360/springsim.2018.hpc.014","DOIUrl":"https://doi.org/10.22360/springsim.2018.hpc.014","url":null,"abstract":"The advantage of proton beam therapy is that the lethal dose of radiation is delivered by a sharp increase toward the end of the beam range, known as the Bragg peak (BP), with no dose delivered beyond. By using these characteristics of the BP, radiation dose to the tumor can be maximized, with greatly reduced radiation dose to the surrounding healthy tissue. If the secondary gamma rays that are emitted through interaction of the protons in the beam with atoms in the patient tissue could be imaged in (near) real-time during beam delivery, it could provide a means of visualizing the delivery of dose for verification of proper treatment delivery. However, such imaging requires very fast image reconstruction to be feasible. This project focuses on measuring the performance of a new parallel version of the CCI (Compton camera imaging) image reconstruction algorithm. We show two conclusions: (i) The new hybrid MPI+OpenMP parallelization of the code on the many-core Intel Xeon Phi KNL processor with 68 computational cores makes fast reconstruction times possible and thus enables the use of CCI in real time during treatment. (ii) A compute node with two of the latest multi-core Intel Skylake CPUs with 24 cores performs even better in a first comparison of both types of processors available on Stampede2 at the Texas Advanced Computing Center (TACC).","PeriodicalId":413389,"journal":{"name":"Spring Simulation Multiconference","volume":"134 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125841419","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

Service composition and scheduling in cloud-based simulation environment 基于云的仿真环境中的业务组合与调度

Spring Simulation Multiconference Pub Date : 2018-04-15 DOI: 10.22360/springsim.2018.mod4sim.003

Feng Li, Y. Laili, Lin Zhang, Xiaolin Hu, B. Zeigler

引用次数: 4

Fundamental requirements and DEVS approach for modeling and simulation of complex adaptive system of systems: healthcare reform 复杂系统的自适应系统建模和仿真的基本要求和DEVS方法:医疗改革

Spring Simulation Multiconference Pub Date : 2018-04-15 DOI: 10.22360/springsim.2018.msciaas.005

B. Zeigler, S. Mittal, M. Traoré

引用次数: 5

Analyzing the effect of LTE-A transmission parameters on video streaming quality of experience 分析LTE-A传输参数对视频流体验质量的影响

Spring Simulation Multiconference Pub Date : 2018-04-15 DOI: 10.22360/springsim.2018.cns.003

A. Al-Habashna, S. Fernandes, Gabriel A. Wainer

{"title":"Analyzing the effect of LTE-A transmission parameters on video streaming quality of experience","authors":"A. Al-Habashna, S. Fernandes, Gabriel A. Wainer","doi":"10.22360/springsim.2018.cns.003","DOIUrl":"https://doi.org/10.22360/springsim.2018.cns.003","url":null,"abstract":"Cellular networks have witnessed an increasing demand for video streaming applications recently, and this is expected to further increase in the upcoming years. Providing high Quality of Experience (QoE) video streaming services is becoming a challenge for cellular network operators. This is due to the limited capacity in cellular networks and the impairments of transmission over radio links (e.g., path-loss and fading). As such, the parameters of the wireless communication on the radio access network between the Base-Station (BS) and User Equipments (UEs) have an effect on video streaming QoE. We study the impact of the wireless transmission parameters in Long Term Evolution-Advanced (LTE-A) networks on video streaming QoE. We consider both cell level and link level parameters. Dynamic Adaptive Streaming over HTTP (DASH) -based video streaming is considered here. We built a model for an LTE-A network and ran multiple simulations with various scenarios. We present and analyze the results to evaluate different video streaming QoE metrics, and to see how they are affected by the various cellular communication parameters.","PeriodicalId":413389,"journal":{"name":"Spring Simulation Multiconference","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134291170","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

Agent-based model of sand supply governance employing blockchain technology 采用区块链技术的基于代理的砂供应治理模型

Spring Simulation Multiconference Pub Date : 2018-04-15 DOI: 10.22360/springsim.2018.anss.023

Farinaz Sabz Ali Pour, Unal Tatar, A. Gheorghe

引用次数: 13

Towards a framework for executable systems modeling: an executable systems modeling language (ESysML) 面向可执行系统建模的框架:可执行系统建模语言(ESysML)

Spring Simulation Multiconference Pub Date : 2018-04-15 DOI: 10.22360/springsim.2018.mod4sim.011

Matthew Amissah, A. Toba, Holly A. H. Handley, M. Seck

引用次数: 4

Musical preferences prediction by classification algorithm 基于分类算法的音乐偏好预测

Spring Simulation Multiconference Pub Date : 2018-04-15 DOI: 10.22360/springsim.2018.cns.002

A. Barghi, Arman Ferdowsi, A. Abhari

{"title":"Musical preferences prediction by classification algorithm","authors":"A. Barghi, Arman Ferdowsi, A. Abhari","doi":"10.22360/springsim.2018.cns.002","DOIUrl":"https://doi.org/10.22360/springsim.2018.cns.002","url":null,"abstract":"In this paper, we use several supervised classification algorithms to predict musical preference of a person. From psychological point of view, although personal emotion is an important feature that has an influence on selecting music, there are some other significant factors such as age, sex, education and district that might have an impact on our musical choices. In this paper, we first collected our data based on an observation method called stratified sampling. In this model, we collected 2000 cases that were grouped into strata (as district in our data feature), then simple random sampling was employed within each stratum. We partitioned our original dataset into two classes, 60% of which we were used to train our models and 40% of which we were held back as a validation dataset. The dataset contains five features as follows: four features named sex, age, education and district as explanatory variables and one feature named music known as response or target variable. The response variable has two different levels, namely traditional and non-traditional so we were dealing with a binary classification. The dataset that we created is called MPD. Moreover, we calculated some important statistical measures such as accuracy, specificity, precision, sensitivity and F-measure. Finally, we examined four different algorithms using R which were a nice mixture of nonlinear (cart, knn) and complex nonlinear methods (rf) and the result in random forest had the highest accuracy with 86.8%. We also observed that the highest F-measure is gained by cart algorithm with 44.7% score. As we have not considered the person's emotion as an influential factor on musical choices, we could expect the accuracy of learning algorithms would not react at very high performance. Our results proved this claim.","PeriodicalId":413389,"journal":{"name":"Spring Simulation Multiconference","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130873471","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 4

Comparisons of core and uncore frequency scaling modes in quantum chemistry application GAMESS 量子化学应用GAMESS中核心与非核心频率标度模式的比较

Spring Simulation Multiconference Pub Date : 2018-04-15 DOI: 10.22360/springsim.2018.hpc.020

Vaibhav Sundriyal, M. Sosonkina, Bryce M. Westheimer, M. Gordon

引用次数: 15

Data mining classifiers comparison for seismic hazard prediction 地震灾害预测的数据挖掘分类器比较

Spring Simulation Multiconference Pub Date : 2018-04-15 DOI: 10.22360/springsim.2018.cns.008

Sneha, A. Abhari, Chen Ding

引用次数: 0