Relevant bibliographies by topics / System analysis tools

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'System analysis tools'

Author: Grafiati
Published: 4 June 2021
Last updated: 1 February 2022

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Journal articles on the topic "System analysis tools"

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Heines, TS. "Operating system analysis tools." Information and Software Technology 33, no. 5 (1991): 340–42. http://dx.doi.org/10.1016/0950-5849(91)90102-h.

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Taniguchi, Haruhito, Kazuyuki Tanaka, and Naoyuki Uchida. "Development of Power System Analysis Tools." IEEJ Transactions on Power and Energy 128, no. 2 (2008): 377–80. http://dx.doi.org/10.1541/ieejpes.128.377.

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Menshikova, M. A., V. V. Trubnikova, and A. V. Rumshin. "MARKETING ANALYSIS TOOLS OF STRATEGIC MANAGEMENT SYSTEM." Herald of the Belgorod University of Cooperation, Economics and Law 3, no. 76 (2019): 197–2016. http://dx.doi.org/10.21295/2223-5639-2019-3-197-206.

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Gelbard, Roy, Nava Pliskin, and Israel Spiegler. "Integrating system analysis and project management tools." International Journal of Project Management 20, no. 6 (2002): 461–68. http://dx.doi.org/10.1016/s0263-7863(01)00044-8.

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Martikáň, Anton, Andrej Czán, Michal Šajgalík, Mário Drbúl, and Tatiana Czánová. "Analysis And Design Of ADPCM System." Technological Engineering 12, no. 1 (2015): 13–15. http://dx.doi.org/10.1515/teen-2015-0003.

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Abstract In this paper, roughness characteristics as Ra and Rz are observed and their changes regarding to different tool rotation speed without feed, using carbide tool in process of hard machining. By experiments it is shown that, with higher tool revolutions and cutting speed, turning with helical cutting edge yields higher surface quality. Furthermore, during experiments it was proved that it is possible to use carbide tools in hard machining. Results of this paper show that rotational turning has a high potential to become an efficient alternative to hard turning, especially when it comes to large scale production of simple shaped parts.
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Latcovich, John, Evangelos Michalopoulos, and Bernie Selig. "Risk-based Analysis Tools." Mechanical Engineering 120, no. 11 (1998): 72–75. http://dx.doi.org/10.1115/1.1998-nov-3.

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American Society of Mechanical Engineering’s (ASME) risk-based inspection methodologies are being used to optimize and prioritize equipment overhaul and maintenance, and upgrade decisions. Hartford Steam Boiler Inspection and Insurance Co. (HSB) collaborated with ASME in developing these guidelines, and it used the ASME methodologies to develop its risk-based decision tools for steam turbine generators. The ASME Risk-Based Inspection Guidelines define five primary steps in developing risk-based programs. These are system definition, qualitative risk assessment, system assessment ranking, inspection program development, and economic optimization. In order to differentiate between turbines and generators in several types of service, the team designed a questionnaire that requires the owner or operator to identify equipment design features, monitoring capabilities, past operating and failure history, as well as current operating experience, inspection, and maintenance practices. The STRAP program is presently in the beta-testing phase, where 30 different turbines representing eight different manufacturers and three different industries have been analyzed. Full implementation of the program is expected to occur in the fall of 1998.
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Popescu, Theodor D. "MATLAB tools for control system analysis and design." Control Engineering Practice 4, no. 2 (1996): 279–82. http://dx.doi.org/10.1016/s0967-0661(96)90088-x.

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Shirmohammadi, D., W. H. E. Liu, K. C. Lau, and H. W. Hong. "Distribution automation system with real-time analysis tools." IEEE Computer Applications in Power 9, no. 2 (1996): 31–35. http://dx.doi.org/10.1109/67.491517.

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Wayne, S. F. "System design analysis and production of cutting tools." Metal Powder Report 47, no. 10 (1992): 50. http://dx.doi.org/10.1016/0026-0657(92)91894-p.

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Aar, Palak, and Aman Kumar Sharma. "Analysis of Penetration Testing Tools." International Journal of Advanced Research in Computer Science and Software Engineering 7, no. 9 (2017): 36. http://dx.doi.org/10.23956/ijarcsse.v7i9.408.

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Penetration testing is defined as the procedure of imposing as an attacker to find out the vulnerabilities in a system that can be used to gain access to system for malicious use. This paper provides an overview of penetration testing and list out the criteria used to select the best tools for the given purpose. It also provides a brief description of the selected tools and furthermore we compare those tools. The results of the comparison are shown in terms of graphs and tables.
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Dissertations / Theses on the topic "System analysis tools"

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Barratt, Dean M. "An analysis of system development tools." Virtual Press, 1990. http://liblink.bsu.edu/uhtbin/catkey/722786.

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The development of a software package is a complex and time consuming process. Computer Assisted Software Engineering (CASE) tools, such as Excelerator, DesignAid and SA Tools have offered an alternative to the traditional methods of system design. While the use of these design tools can lessen the burden of project management, there currently exists no systematic method for describing or evaluating existing products.This study identifies criteria for software development tools by examining three products used in a PC-based computing environment. The three software development tools studied are DesignAid version 4.0 by Nastec Corporation, SA Tools by Tekcase Corporation, and Excelerator version 1.7 by Index Technology Corporation. In order to give the "look and feel" of the products, the same design project is implemented on each of the tools. Then each product is evaluated with respect to a given set of criteria.<br>Department of Computer Science
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Papastathi, Maria. "Database management system using IDEF methodologies." Thesis, University of Salford, 1995. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.261919.

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Rai, Anurag. "Analysis and Design Tools for Structured Feedback Systems." BYU ScholarsArchive, 2012. https://scholarsarchive.byu.edu/etd/3270.

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As we begin to analyze and construct extremely complex systems, a theory for understanding and designing the underlying architecture becomes very important. To move in the direction of a precise theory of architecture, this thesis will provide some concrete tools to analyze and design complex systems with a given network structure. The first main result of this thesis analyzes the vulnerability of a system and shows that a system's vulnerability depends on its network structure. We will consider destabilization attacks acting on a single link in a system's logical interconnection structure. The concept of a vulnerable link is characterized and necessary and sufficient conditions for identifying these links are provided. The vulnerability of various system architectures are then characterized by the vulnerability of their weakest link, and it is shown that every transfer function has a completely secure architecture with no vulnerable links. The second part of this thesis focuses on synthesizing controllers with a specified network structure. It presents a new approach to distributed controller design that exploits the dynamical structure function representation of linear time invariant systems to characterize the structure of a system. The design technique sequentially constructs each link in an arbitrary controller signal structure, and the main theorem proves that either the resulting controller is stabilizing or that no controller with the desired structure can stabilize the system.
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Pongratananukul, Nattorn. "ANALYSIS AND SIMULATION TOOLS FOR SOLAR ARRAY POWER SYSTEMS." Doctoral diss., University of Central Florida, 2005. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/2565.

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This dissertation presents simulation tools developed specifically for the design of solar array power systems. Contributions are made in several aspects of the system design phases, including solar source modeling, system simulation, and controller verification. A tool to automate the study of solar array configurations using general purpose circuit simulators has been developed based on the modeling of individual solar cells. Hierarchical structure of solar cell elements, including semiconductor properties, allows simulation of electrical properties as well as the evaluation of the impact of environmental conditions. A second developed tool provides a co-simulation platform with the capability to verify the performance of an actual digital controller implemented in programmable hardware such as a DSP processor, while the entire solar array including the DC-DC power converter is modeled in software algorithms running on a computer. This "virtual plant" allows developing and debugging code for the digital controller, and also to improve the control algorithm. One important task in solar arrays is to track the maximum power point on the array in order to maximize the power that can be delivered. Digital controllers implemented with programmable processors are particularly attractive for this task because sophisticated tracking algorithms can be implemented and revised when needed to optimize their performance. The proposed co-simulation tools are thus very valuable in developing and optimizing the control algorithm, before the system is built. Examples that demonstrate the effectiveness of the proposed methodologies are presented. The proposed simulation tools are also valuable in the design of multi-channel arrays. In the specific system that we have designed and tested, the control algorithm is implemented on a single digital signal processor. In each of the channels the maximum power point is tracked individually. In the prototype we built, off-the-shelf commercial DC-DC converters were utilized. At the end, the overall performance of the entire system was evaluated using solar array simulators capable of simulating various I-V characteristics, and also by using an electronic load. Experimental results are presented.<br>Ph.D.<br>Department of Electrical and Computer Engineering<br>Engineering and Computer Science<br>Electrical Engineering
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Zhang, Yuxiang. "Analysis and improvement of teaching processes and environments with Internet-related tools." Thesis, University of Ottawa (Canada), 2006. http://hdl.handle.net/10393/27312.

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Nowadays, universities and colleges seek e-learning solutions to permit students to learn at different places and times from the usual classes, and e-teaching tools to assist teachers to handle their increasing numbers of students. Inexpensive and platform-independent tools are useful to professors who want to cope with their teaching without more work and with limited resources such as people, machinery, and Internet bandwidth. To improve work processes in the educational environment, particularly in teaching quantitative, problem-solving subjects, the development, dissemination and use of Internet-related tools would be welcomed. Several Internet-related tools or projects are ongoing under Professor John C. Nash in the School of Management at the University of Ottawa. The E-tutor project to date has shown the merit of the concept of a "watch the student work" teaching method that can be (in part, at least) implemented using WWW-type tools running at low bandwidth with more than 100 students. These tools are, however, not yet organized perfectly. It is also important that their advantages and weaknesses be analyzed and placed in context with other solutions that are being developed and implemented.
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Peng, Jie. "Design and analysis of a CNC system for machining and monitoring." Thesis, University of British Columbia, 1989. http://hdl.handle.net/2429/29730.

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The development of unmanned machining systems has been a recent focus of manufacturing research. Computer Numerical Control (CNC) units, which monitor and control many tightly coupled machining tasks, are inseparable parts of the unmanned manufacturing system. This thesis addresses the detailed design and analysis of a modular CNC system for a milling machine. The feed drive control system of the machine tool is thoroughly studied. The mathematical model for the feed drive control system, which consists of a motion controller, power amplifiers and DC-servo motors, is developed and experimentally verified. A method of estimating cutting forces from current drawn by feed drive motors is developed. The viability of the current sensor as a feeding-force sensing component is illustrated and experimentally tested on the milling machine. Successful application of the current sensor to tool breakage detection in milling operation is presented. The performance of the multi-axis contouring system in precision machining is discussed. The contouring errors induced by feed drive positioning systems in CNC machine tools is investigated using the state space model of the CNC system. The influence of the cutting force on the accuracy of machining is shown to be negligible for feed drives driven by ball leadscrews. Various control strategies for the improvement of machining accuracy are tested in the simulation studies.<br>Applied Science, Faculty of<br>Mechanical Engineering, Department of<br>Graduate
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Chen, Chen. "Soft Computing-based Life-Cycle Cost Analysis Tools for Transportation Infrastructure Management." Diss., Virginia Tech, 2007. http://hdl.handle.net/10919/28214.

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Increasing demands, shrinking financial and human resources, and increased infrastructure deterioration have made the task of maintaining the infrastructure systems more challenging than ever before. Life-cycle cost analysis (LCCA) is an important tool for transportation infrastructure management, which is used extensively to support project level decisions, and is increasingly being applied to enhance network level analysis. However, traditional LCCA tools cannot practically and effectively utilize expert knowledge and handle ambiguous uncertainties. The main objective of this dissertation was to develop enhanced LCCA models using soft computing (mainly fuzzy logic) techniques. The proposed models use available "real-world" information to forecast life-cycle costs of competing maintenance and rehabilitation strategies and support infrastructure management decisions. A critical review of available soft computing techniques and their applications in infrastructure management suggested that these techniques provide appealing alternatives for supporting many of the infrastructure management functions. In particular, LCCA often utilizes information that is uncertain, ambiguous and incomplete, which is obtained from both existing databases and expert opinion. Consequently, fuzzy logic techniques were selected to enhance life-cycle cost analysis of transportation infrastructure investments because they provide a formal approach for the effective treatment of these types of information. The dissertation first proposes a fuzzy-logic-based decision-support model, whose inference rules can be customized according to agency's management policies and expert opinion. The feasibility and practicality of the proposed model is illustrated by its implementation in a life-cycle cost analysis algorithm for comparing and selecting pavement maintenance, rehabilitation and reconstruction (MR&R) policies. To enhance the traditional probabilistic LCCA model, the fuzzy-logic-based model is then incorporated into the risk analysis process. A fuzzy logic approach for determining the timing of pavement MR&R treatments in a probabilistic LCCA model for selecting pavement MR&R strategies is proposed. The proposed approach uses performance curves and fuzzy-logic triggering models to determine the most effective timing of pavement MR&R activities. The application of the approach in a case study demonstrates that the fuzzy-logic-based risk analysis model for LCCA can effectively produce results that are at least comparable to those of the benchmark methods while effectively considering some of the ambiguous uncertainty inherent to the process. Finally, the research establishes a systematic method to calibrate the fuzzy-logic based rehabilitation decision model using real cases extracted from the Long Term Pavement Performance (LTPP) database. By reinterpreting the model in the form of a neuro-fuzzy system, the calibration algorithm takes advantage of the learning capabilities of artificial neural networks for tuning the fuzzy membership functions and rules. The practicality of the method is demonstrated by successfully tuning the treatment selection model to distinguish between rehabilitation (light overlay) and do-nothing cases.<br>Ph. D.
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Raoofsheibani, Davood [Verfasser]. "Online Power System Security Analysis and State Prediction : Enhanced Power System Models and Tools / Davood Raoofsheibani." Düren : Shaker, 2021. http://d-nb.info/1240853947/34.

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Bell, Alison. "An ergonomic analysis of vacuum cleaning tasks using observational risk assessment tools." School of Health Sciences - Faculty of Health & Behavioural Sciences, 2008. http://ro.uow.edu.au/theses/126.

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This research thesis examined the risk of upper limb musculoskeletal disorders for cleaning workers while performing vacuum cleaning tasks in the normal course of their employment. The cleaning workers in this study were from three sectors of the workforce – government schools, hospitality and commercial office space. The vacuum cleaning tasks were divided into those performed with a back pack style vacuum cleaning machine and those using a canister/barrel machine. Three observational risk assessment tools were selected to measure the risk of these tasks to cleaning workers. The selected tools were the Manual Tasks Risk Assessment Tool (ManTRA) version 2.0; the Quick Exposure Check (QEC) (Li & Buckle, 1998); and the Rapid Upper Limb Assessment tool (RULA) (McAtamney & Corlett, 1993). Results of this thesis study demonstrated that vacuum cleaning is a risk to the musculoskeletal health of cleaning workers, with some variation between the tool ratings, reflecting the specificity and/or sensitivity of each tool. Differences were found between the three cleaning sectors in terms of overall risk posed by vacuum cleaning tasks. The sector with the greatest risk was found to be the government school cleaners, followed by the hospitality and then commercial office space cleaning sectors. The ‘risk experience’ difference between the sectors cannot be attributed only to vacuum cleaner characteristics, but also, the environment and length of shift worked by the cleaning staff. Further research is required to determine the difference in risk exposure between the two types of vacuum cleaner (back pack and canister).
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A, Asif Farazee M. "Circular Manufacturing Systems : A development framework with analysis methods and tools for implementation." Doctoral thesis, KTH, Maskin- och processteknologi, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-207470.

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The society today lives on the philosophy of ‘take-make-use-dispose.’ In the long run, this is not sustainable as the natural resources and the waste carrying capacity of the earth are limited. Therefore, it is essential to reduce dependency on the natural resources by decoupling the growth from the consumption. In this venture, both the society and the manufacturing industry have a vital role to play. The society needs to shift towards Circular Economy that rests upon the philosophy of ‘take-make-use-reuse’ and the manufacturing industry has to be a major stakeholder in this shift. Despite being proven to be both economically and environmentally beneficial, successful examples of circular systems are few today. This is primarily due to two reasons; firstly, there is a lack of systemic and systematic approach to guide industries and secondly, there is a lack of analysis methods and tools that are capable of assessing different aspects of circular manufacturing systems. Taking on to these challenges, the objective of this research is to bring forward a framework with methods and decision support tools that are essential to implement circular manufacturing systems. The initial conceptual framework with the systemic approach is developed based on extensive review and analysis of research, which is further adapted for industrial implementation. Systematic analysis methods, decision support and implementation tools are developed to facilitate this adaptation. This development has been supported by four cases from diverse manufacturing sectors. Behind each decision support tool, there are analysis methods built upon mainly system dynamics principles. These tools are based on simulation platforms called Stella and Anylogic. Among other things, these tools are capable of assessing the performance of closed-loop supply chains, consequences of resource scarcity, potential gains from resource conservation and overall economic and environmental performance of circular manufacturing systems.<br><p>QC 20170522</p><br>ResCoM: Resource Conservative Manufacturing- transforming waste into high value resource through closed-loop product systems
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Books on the topic "System analysis tools"

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Ostroff, Aaron J. Integrated tools for control-system analysis. National Aeronautics and Space Administration, Office of Management, Scientific and Technical Information Division, 1989.

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Ostroff, Aaron J. Integrated tools for control-system analysis. National Aeronautics and Space Administration, Office of Management, Scientific and Technical Information Division, 1989.

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Fertuck, Len. Systems analysis and design with CASE tools. Wm. C. Brown, 1992.

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Systems analysis and design with CASE tools. Wm. C. Brown Publishers, 1991.

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Spurr, Kathy. CASE: Methods and tools. Prentice Hall, 1990.

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C, Hanselman Duane, ed. MATLAB tools for control system analysis and design. Prentice Hall, 1994.

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C, Hanselman Duane, ed. MATLAB tools for control system analysis and design. Prentice-Hall International, 1994.

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Hanselman, Duane C. MATLAB tools for control system analysis and design. 2nd ed. Prentice Hall, 1995.

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C, Hanselman Duane, ed. MATLAB tools for control system analysis and design. Prentice Hall, 1994.

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1930-, Kuo Benjamin C., ed. MATLAB tools for control system analysis and design. 2nd ed. Prentice Hall, 1995.

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Book chapters on the topic "System analysis tools"

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Xu, Jun. "Case Study: Benchmarking Tools." In Block Trace Analysis and Storage System Optimization. Apress, 2018. http://dx.doi.org/10.1007/978-1-4842-3928-5_5.

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Eickhoff, Jens. "Simulation Tools for System Analysis and Verification." In Simulating Spacecraft Systems. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-01276-1_3.

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Cheng, Jiamin, Lei Chen, Ping Cui, Kailiang Zhang, and Yuan An. "Stability Analysis of Communication System Under Certain Session Arrival Rate." In Simulation Tools and Techniques. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-72792-5_59.

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Corby, B., and H. Alaiwan. "Failure Data Analysis of a Computer System." In Modeling Techniques and Tools for Computer Performance Evaluation. Springer US, 1989. http://dx.doi.org/10.1007/978-1-4613-0533-0_24.

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Hsiung, Pao-Ann, Farn Wang, and Yue-Sun Kuo. "Scheduling System Verification." In Tools and Algorithms for the Construction and Analysis of Systems. Springer Berlin Heidelberg, 1999. http://dx.doi.org/10.1007/3-540-49059-0_2.

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Ehrenberger, Wolfgang D. "Use of Software Reliability Tools in Information System Failure Analysis." In Information Systems: Failure Analysis. Springer Berlin Heidelberg, 1987. http://dx.doi.org/10.1007/978-3-642-83091-4_25.

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Amyot, Daniel, Hanna Farah, and Jean-François Roy. "Evaluation of Development Tools for Domain-Specific Modeling Languages." In System Analysis and Modeling: Language Profiles. Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11951148_12.

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Lopez, M. Graham, Oscar Hernandez, Reuben D. Budiardja, and Jack C. Wells. "CAASCADE: A System for Static Analysis of HPC Software Application Portfolios." In Programming and Performance Visualization Tools. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-17872-7_6.

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Granat, J., T. Kręglewski, J. Paczyńiski, A. Stachurski, and A. P. Wierzbicki. "A modular system of software tools for multicriteria model analysis." In System Modelling and Optimization. Springer US, 1996. http://dx.doi.org/10.1007/978-0-387-34897-1_43.

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Gonzalez-de-Aledo, Pablo, and Pablo Sanchez. "FramewORk for Embedded System verification." In Tools and Algorithms for the Construction and Analysis of Systems. Springer Berlin Heidelberg, 2015. http://dx.doi.org/10.1007/978-3-662-46681-0_36.

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Conference papers on the topic "System analysis tools"

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V.Gopal, Ram, and Aymeric P. Rousseau. "System Analysis Using Multiple Expert Tools." In SAE 2011 World Congress & Exhibition. SAE International, 2011. http://dx.doi.org/10.4271/2011-01-0754.

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Davis, C., and Y. Zhang. "Expert system tools applied to power system analysis." In [1992] Record of Conference Papers Industry Applications Society 39th Annual Petroleum and Chemical Industry Conference. IEEE, 1992. http://dx.doi.org/10.1109/pcicon.1992.229306.

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Denezhkina, Irina, and Sergey Zadadaev. "Testing statistical hypotheses with the use of visualization tools in RStudio." In System analysis in economics – 2018. Prometheus publishing house, 2018. http://dx.doi.org/10.33278/sae-2018.eng.150-152.

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FORBES, ALISTAIR B. "MEASUREMENT SYSTEM ANALYSIS AND STATISTICAL PROCESS CONTROL." In Advanced Mathematical and Computational Tools in Metrology. WORLD SCIENTIFIC, 2006. http://dx.doi.org/10.1142/9789812774187_0015.

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Ahim, M. A. H. "Power system analysis using SKM power tools." In 7th Brunei International Conference on Engineering and Technology 2018 (BICET 2018). Institution of Engineering and Technology, 2018. http://dx.doi.org/10.1049/cp.2018.1595.

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Song, Fengming, and Ping Liang. "Decision support system for capital investment risk analysis." In Optical Tools for Manufacturing and Advanced Automation, edited by Bruno Bosacchi and James C. Bezdek. SPIE, 1993. http://dx.doi.org/10.1117/12.165036.

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Lacey, Gerard, Ronan Waldron, Jean-Marc Dinten, and Francis Lilley. "Flexible multisensor inspection system for solder-joint analysis." In Optical Tools for Manufacturing and Advanced Automation, edited by Bruce G. Batchelor, Susan Snell Solomon, and Frederick M. Waltz. SPIE, 1993. http://dx.doi.org/10.1117/12.150293.

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Nordlund, Mats. "Applications of system theories and AI tools in aircraft design." In 5th Symposium on Multidisciplinary Analysis and Optimization. American Institute of Aeronautics and Astronautics, 1994. http://dx.doi.org/10.2514/6.1994-4324.

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Vosniakos, G. C., A. Daskalopoulos, and N. Straggas. "A Web-Based Integrated Cutting Tool Management System." In ASME 7th Biennial Conference on Engineering Systems Design and Analysis. ASMEDC, 2004. http://dx.doi.org/10.1115/esda2004-58421.

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Tool management functions cover tool system elements for assembly, operating conditions for process planning and NC programming, tuning operation execution on the machine, calculation of remaining tool life for planning tool changes, number of tools in stock, supplier terms for ordering and average utilization of tools over time for production planning. A database system was constructed catering for network access by being written as a web application. The system’s practical use is demonstrated by several typical scenarios of use.
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Rodríguez, Luis F., Haibei Jiang, Scott Bell, and David Kortenkamp. "Testing Heuristic Tools for Life Support System Analysis." In International Conference On Environmental Systems. SAE International, 2007. http://dx.doi.org/10.4271/2007-01-3225.

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Reports on the topic "System analysis tools"

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Hodge, Ernest S., and Marvin R. Glickstein. Thermal System Analysis Tools (TSAT). Defense Technical Information Center, 2002. http://dx.doi.org/10.21236/ada404721.

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De Jong, K., J. clever, J. V. Draper, B. Davies, and A. Lonks. System analysis: Developing tools for the future. Office of Scientific and Technical Information (OSTI), 1996. http://dx.doi.org/10.2172/224300.

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R. L. Bierbaum, R. F. Billau, J. E. Campbell, et al. Final report on LDRD project: Simulation/optimization tools for system variability analysis. Office of Scientific and Technical Information (OSTI), 1999. http://dx.doi.org/10.2172/751050.

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Williams, Dean N. 2014 Earth System Grid Federation and Ultrascale Visualization Climate Data Analysis Tools Conference Report. Office of Scientific and Technical Information (OSTI), 2015. http://dx.doi.org/10.2172/1182238.

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REPINA, EVGENIYA. STATISTICAL TOOLS IN THE STRATEGIC ANALYSIS OF THE DEVELOPMENT OF SOCIO-ECONOMIC SYSTEM OF THE MUNICIPALITY. Science and Innovation Center Publishing House, 2020. http://dx.doi.org/10.12731/2070-7568-2020-1-2-100-113.

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Al Hosain, Nourah, and Alma Alhussaini. Evaluating Access to Riyadh’s Planned Public Transport System Using Geospatial Analysis. King Abdullah Petroleum Studies and Research Center, 2021. http://dx.doi.org/10.30573/ks--2021-dp10.

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The King Abdulaziz Project for Public Transport in Riyadh city is one of the world’s largest urban transit systems being developed. The project aims to meet the demands of the city’s growing urban population while reducing traffic congestion, heavy private car dependence and air pollution. The performance of any public transport system largely depends on its accessibility. Therefore, this study evaluates the populations’ access to Riyadh’s public transport stations using network analysis tools based on geographic information systems.
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Filmer, Deon, Ezequiel Molina, and Waly Wane. Identifying Effective Teachers: Lessons from Four Classroom Observation Tools. Research on Improving Systems of Education (RISE), 2020. http://dx.doi.org/10.35489/bsg-rise-wp_2020/045.

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Four different classroom observation instruments—from the Service Delivery Indicators, the Stallings Observation System, the Classroom Assessment Scoring System, and the Teach classroom observation instrument—were implemented in about 100 schools across four regions of Tanzania. The research design is such that various combinations of tools were administered to various combinations of teachers, so these data can be used to explore the commonalities and differences in the behaviors and practices captured by each tool, the internal properties of the tools (for example, how stable they are across enumerators, or how various indicators relate to one another), and how variables collected by the various tools compare to each other. Analysis shows that inter-rater reliability can be low, especially for some of the subjective ratings; principal components analysis suggests that lower-level constructs do not map neatly to predetermined higher-level ones and suggest that the data have only a few dimensions. Measures collected during teacher observations are associated with student test scores, but patterns differ for teachers with lower versus higher subject content knowledge.
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Williams, Dean N. 3rd Annual Earth System Grid Federation and 3rd Annual Earth System Grid Federation and Ultrascale Visualization Climate Data Analysis Tools Face-to-Face Meeting Report December 2013. Office of Scientific and Technical Information (OSTI), 2014. http://dx.doi.org/10.2172/1124881.

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Torres, Marissa, Norberto Nadal-Caraballo, and Alexandros Taflanidis. Rapid tidal reconstruction for the Coastal Hazards System and StormSim part II : Puerto Rico and U.S. Virgin Islands. Engineer Research and Development Center (U.S.), 2021. http://dx.doi.org/10.21079/11681/41482.

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This Coastal and Hydraulics Engineering Technical Note (CHETN) describes the continuing efforts towards incorporating rapid tidal time-series reconstruction and prediction capabilities into the Coastal Hazards System (CHS) and the Stochastic Storm Simulation System (StormSim). The CHS (Nadal-Caraballo et al. 2020) is a national effort for the quantification of coastal storm hazards, including a database and web tool (https://chs.erdc.dren.mil) for the deployment of results from the Probabilistic Coastal Hazard Analysis (PCHA) framework. These PCHA products are developed from regional studies such as the North Atlantic Coast Comprehensive Study (NACCS) (Nadal-Caraballo et al. 2015; Cialone et al. 2015) and the ongoing South Atlantic Coast Study (SACS). The PCHA framework considers hazards due to both tropical and extratropical cyclones, depending on the storm climatology of the region of interest. The CHS supports feasibility studies, probabilistic design of coastal structures, and flood risk management for coastal communities and critical infrastructure. StormSim (https://stormsim.erdc.dren.mil) is a suite of tools used for statistical analysis and probabilistic modeling of historical and synthetic storms and for stochastic design and other engineering applications. One of these tools, the Coastal Hazards Rapid Prediction System (CHRPS) (Torres et al. 2020), can perform rapid prediction of coastal storm hazards, including real-time hurricane-induced flooding. This CHETN discusses the quantification and validation of the Advanced Circulation (ADCIRC) tidal constituent database (Szpilka et al. 2016) and the tidal reconstruction program Unified Tidal analysis (UTide) (Codiga 2011) in the Puerto Rico and U.S. Virgin Islands (PR/USVI) coastal regions. The new methodology discussed herein will be further developed into the Rapid Tidal Reconstruction (RTR) tool within the StormSim and CHS frameworks.
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Jensen, Robert R., Steven A. Benson, and Jason D. Laumb. ADVANCED POWER SYSTEMS ANALYSIS TOOLS. Office of Scientific and Technical Information (OSTI), 2001. http://dx.doi.org/10.2172/788727.

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