scholarly journals A Simulator for Micro Programming and Hardware Simulation Integrated in a Computer Hardware Project: محاكي للبرمجة المصغرة ومحاكاة الأجهزة المدمج في مشروع عتاد الكمبيوتر الصلب

2020 ◽  
Vol 4 (1) ◽  
Author(s):  
Yaser Chaaban
Keyword(s):  
Group Work ◽  
Control Unit ◽  
Computer Hardware ◽  
Simulation Tool ◽  
Computer Engineering ◽  
Self Organized ◽  
Java Program ◽  
Research Designs ◽  
Platform Independence ◽  
User Friendly

Nowadays, micro-programming of machines becomes more common. It is a technique used in several fields such as Computer Engineering. Here it is worth mentioning that micro-programming is employed throughout the design process. As well, designing the control unit of digital computers needs micro-programming, which is more complex than assembly languages. In this field, micro-programs can be written as sequences of micro-instructions. In this context, distinguished teaching of micro-programming of machines requires a suitable and carefully chosen Computer Simulation Tool (CST). This research designs a computer hardware project that introduces a special simulator achieving an easy-to-use microprogramming environment and a user-friendly simulation tool. This tool presents a visualization environment in order to display the execution behaviour of microprograms. It is a model/tool designed as a java program to ensure platform independence. This paper presents the Minimax simulator, which is used in the Minimax project. This project is a part of a hardware practical course. Therefore, it is a simulator for microprogramming and hardware simulation. As a result, this simulator facilitates the process of micro-programming significantly enabling students to understand easily how a computer works. Here, two formal measures and metrics were presented to assess the implemented program, the execution time and the program length. Other results of this study showed how self-organized group work and project management can be accomplished.

Simulation Tool for Assignment Models: SIMASI

2014 ◽  
Vol 13 (8) ◽  
pp. 4723-4728
Author(s):  
Pratiksha Saxena ◽  
Smt. Anjali
Keyword(s):  
Optimization Procedure ◽  
Simulation Tool ◽  
Optimization Strategy ◽  
Performance Measurements ◽  
Integrated Simulation ◽  
Assignment Model ◽  
Classical Models ◽  
Simulation Results ◽  
User Friendly ◽  
Assignment Models

In this paper, an integrated simulation optimization model for the assignment problems is developed. An effective algorithm is developed to evaluate and analyze the back-end stored simulation results. This paper proposes simulation tool SIMASI (Simulation of assignment models) to simulate assignment models. SIMASI is a tool which simulates and computes the results of different assignment models. This tool is programmed in DOT.NET and is based on analytical approach to guide optimization strategy. Objective of this paper is to provide a user friendly simulation tool which gives optimized assignment model results. Simulation is carried out by providing the required values of matrix for resource and destination requirements and result is stored in the database for further comparison and study. Result is obtained in terms of the performance measurements of classical models of assignment system. This simulation tool is interfaced with an optimization procedure based on classical models of assignment system. The simulation results are obtained and analyzed rigorously with the help of numerical examples. 

scholarly journals A Simulation Tool for Evaluating Video Streaming Architectures in Vehicular Network Scenarios

Electronics ◽  
2020 ◽  
Vol 9 (11) ◽  
pp. 1970
Author(s):  
Pedro Pablo Garrido Abenza ◽  
Manuel P. Malumbres ◽  
Pablo Piñol ◽  
Otoniel López Granado
Keyword(s):  
Video Transmission ◽  
Vehicular Networks ◽  
Experimental Tests ◽  
Video Encoding ◽  
Simulation Tool ◽  
Simulation Research ◽  
Integrated Simulation ◽  
Network Simulators ◽  
Set Up ◽  
User Friendly

An integrated simulation tool called Video Delivery Simulation Framework over Vehicular Networks (VDSF-VN) is presented. This framework is intended to allow users to conduct experiments related to video transmission in vehicular networks by means of simulation. Research on this topic requires the use of many independent tools, such as traffic and network simulators, intermediate frameworks, video encoders and decoders, converters, platform-dependent scripting languages, data visualisation packages and spreadsheets, and some other tasks are performed manually. The lack of tools necessary to carry out all these tasks in an integrated and efficient way formed the motivation for the development of the VDSF-VN framework. It is managed via two user-friendly applications, GatcomSUMO and GatcomVideo, which allow all the necessary tasks to be accomplished. The first is primarily used to build the network scenario and set up the traffic flows, whereas the second involves the delivery process of the whole video, encoding/decoding video, running simulations, and processing all the experimental results to automatically provide the requested figures, tables and reports. This multiplatform framework is intended to fill the existing gap in this field, and has been successfully used in several experimental tests of vehicular networks.

scholarly journals Introduction to special issue: Physics and computer science – quantum computation and other approaches

2010 ◽  
Vol 20 (6) ◽  
pp. 995-997 ◽  
Author(s):  
SALVADOR ELÍAS VENEGAS-ANDRACA
Keyword(s):  
Computer Science ◽  
Energy Transport ◽  
Modern Society ◽  
Quantum Walks ◽  
Computer Hardware ◽  
Computer Engineering ◽  
Light Harvesting Complexes ◽  
Models Of Computation ◽  
Natural Processes ◽  
Computational Procedures

Computer science and computer engineering are disciplines that have very definitely permeated and transformed every aspect of modern society. In these fields, cutting-edge research is about new models of computation, new materials and techniques for building computer hardware and novel methods for speeding-up algorithms. But it is also about building bridges between computer science and various other scientific fields, bridges that allow scientists to both think of natural phenomena as computational procedures and to employ novel models of computation to simulate natural processes (for example, quantum walks have been used to model energy transport in photosynthetic light harvesting complexes (Hoyer et al. 2010; Caruso et al. 2010)). A convergence of scientific, technological, economic and epistemological demands is driving and integrating this research.

scholarly journals A Tutorial on Bayes Factor Design Analysis Using an Informed Prior

2017 ◽  
Author(s):  
Angelika Stefan ◽  
Quentin Frederik Gronau ◽  
Felix D. Schönbrodt ◽  
Eric-Jan Wagenmakers
Keyword(s):  
Bayes Factor ◽  
Design Analysis ◽  
Target Strength ◽  
Sequential Designs ◽  
Web Based ◽  
Strength Of Evidence ◽  
Misleading Evidence ◽  
Research Designs ◽  
Factor Design ◽  
User Friendly

Well-designed experiments are likely to yield compelling evidence with efficient sample sizes. Bayes Factor Design Analysis (BFDA) is a recently developed methodology that allows researchers to balance the informativeness and efficiency of their experiment (Schönbrodt & Wagenmakers, 2017). With BFDA, researchers can control the rate of misleading evidence but, in addition, they can plan for a target strength of evidence. BFDA can be applied to fixed-N and sequential designs. In this tutorial paper, we provide a tutorial-style introduction to BFDA and generalize the method to informed prior distributions. We also present a user-friendly web-based BFDA application that allows researchers to conduct BFDAs with ease. Two practical examples highlight how researchers can use a BFDA to plan for informative and efficient research designs.

scholarly journals Local and Regional Spatial Analysis of Plant Virus Disease Epidemics with Geographic Information Systems (GIS) and Geostatistics

1998 ◽  
Vol 3 (1) ◽  
pp. 85
Author(s):  
M. R. Nelson ◽  
T. V. Orum
Keyword(s):  
Spatial Analysis ◽  
Plant Virus ◽  
Virus Disease ◽  
Rapid Development ◽  
Plant Diseases ◽  
Computer Hardware ◽  
Virus Diseases ◽  
Agricultural Enterprises ◽  
Disease Epidemics ◽  
User Friendly

Recent advances in personal computer hardware and the rapid development of spatial analysis software that is user-friendly on PC's has provided remarkable new tools for the analysts of plant diseases, particularly ecologically complex virus diseases. Due to the complexity of the disease cycle of the animal-vectored plant virus, these diseases present the most interesting challenges for the application of spatial analysis technology. While traditional quantitative analysis of plant diseases concentrated on within-field spatial analysis, often involving rather arcane mathematical descriptions of pattern, the new spatial analysis tools are most useful at the dimension where many disease epidemics occur, the regional level. The output of many of the programs used in spatial analysis is a highly visual picture of a disease epidemic which has a strong intuitive appeal to managers of agricultural enterprises. Applications by us, thus far, have included tomato, pepper and cotton virus diseases in Arizona. Mexico, California and Pakistan. In addition, this technology has been applied by us to Phytophthora infestans in potato and tomato. Aspergillus flavus in cotton, and regional insect problems of tomato and cotton.

scholarly journals MATLAB/SIMULINK Simulation Tool for Power Systems

2011 ◽  
pp. 140-145
Author(s):  
Santosh B. Kulkarni ◽  
Rajan H. Chile
Keyword(s):  
Power Systems ◽  
Modeling And Simulation ◽  
Test System ◽  
Simulation Tool ◽  
Matlab Simulink ◽  
Simulink Simulation ◽  
Systems Simulation ◽  
User Friendly

This paper describes the modeling and simulation library for power systems simulation under SIMULINK environment. The different features of MATLAB Toolboxes used in the analysis of power systems are described. Software introduces SIMULINK environment of MATLAB for implementing user friendly and future expansion. To illustrate the capabilities of SIMULINK simulation tool, a case study based on a test system is presented.

scholarly journals miCloud: a plug and play, on-premises bioinformatics cloud, providing seamless integration with Illumina genome sequencers

2017 ◽  
Author(s):  
Baekdoo Kim ◽  
Thahmina Ali ◽  
Konstantinos Krampis ◽  
Changsu Dong ◽  
Bobby Laungani ◽  
...  
Keyword(s):  
Data Analysis ◽  
Low Cost ◽  
Illumina Miseq ◽  
Computer Hardware ◽  
Laboratory Equipment ◽  
Seamless Integration ◽  
Technical Data ◽  
Amazon Web Services ◽  
Next Generation Sequencing Ngs ◽  
User Friendly

Benchtop genome sequencers such as the Illumina MiSeq or MiniSeq [1], [2] are revolutionizing genomics research for smaller, independent laboratories, by enabling access to low-cost Next Generation Sequencing (NGS) technology in-house. These benchtop genome sequencing instruments require only standard laboratory equipment, in addition to minimal time for sample preparation. However, post-sequencing bioinformatics data analysis still presents a significant bottleneck, for research laboratories lacking specialized software and technical data analysis skills on their teams. While bioinformatics computes clouds providing solutions following a Software as a Service (SaaS) are available ([3]–[6], review in [7]), currently, there are only a few options which are user-friendly for non-experts while at the same time are also low-cost or free. One primary example is Illumina BaseSpace [8] that is very easy to access by non-experts, and also offers an integrated solution where data are streamed directly from the MiSeq sequencing instrument to the cloud. Once the data is on the BaseSpace cloud, users can access a range of bioinformatics applications with pre-installed algorithms through an intuitive web interface. Nonetheless, BaseSpace can be a costly solution as a yearly subscription depending on whether the user is associated with an academic or private institution, ranges in price from $999 - $4,999. Additional “iCredits” [9] might need to be purchased for frequent users that exhaust the base credit allowance as part of the subscription. Considering the reduction of computer hardware cost in recent years, a multi-core Intel Xeon server with 64 GigaByte (GB) of memory and multiple TeraByte (TB) of storage is priced less than the yearly subscription to Basespace [10], and similarly when compared to renting compute cycles from providers such as Amazon Web Services (AWS) [11]. Furthermore, the current generation of laptops usually come with 6–10 GigaBytes (GB) of memory and 1 TeraByte (TB) of storage, providing enough computational capacity to analyze data from small NGS experiments [12] that include only a few samples.

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