Relevant bibliographies by topics / Design Expert Software

Contents

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

Academic literature on the topic 'Design Expert Software'

Author: Grafiati
Published: 4 June 2025
Last updated: 15 July 2025

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Journal articles on the topic "Design Expert Software"

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Alben, Katherine T. "Books and Software: Design, analyze, and optimize with Design-Expert." Analytical Chemistry 74, no. 7 (2002): 222 A—223 A. http://dx.doi.org/10.1021/ac0219703.

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Thilmany, Jean. "Expert Built-In." Mechanical Engineering 123, no. 10 (2001): 70–72. http://dx.doi.org/10.1115/1.2001-oct-5.

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This article discusses the growing trend among providers of computer-aided engineering analysis tools to market different types of analysis software packages, many of them integrated with computer-aided design packages and all of them accessible to engineers without special training. Common computer software tools offer speed and ease of use to designers who must make repetitive calculations. Engineers who use analysis programs nowadays use those programs to complement their CAD software. In other words, without design there is generally no need for analysis. The reasons engineers use CAD software are usually the same much like the reasons they turn to analysis software. Analysis reduces the number of prototypes necessary and further not only reduces development costs and but also shortens the design cycle. Additionally, such an analysis can decrease the time and cost of testing both virtual and actual prototypes. By decreasing testing and prototype time, the product gets to market quicker.
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Francioni, J. M., and A. Kandel. "A software engineering tool for expert system design." IEEE Expert 3, no. 1 (1988): 33–41. http://dx.doi.org/10.1109/64.2093.

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Hays, N. "Expert User/artist Guides Software Development." IEEE Computer Graphics and Applications 17, no. 1 (1997): 6–7. http://dx.doi.org/10.1109/mcg.1997.576848.

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Zhao, Zhengyue, Tongwei Xie, Huayi Wang, and Yueyang Zheng. "Early Education Application Software Based on Artificial Intelligence VR Technology." Computational Intelligence and Neuroscience 2022 (November 25, 2022): 1–14. http://dx.doi.org/10.1155/2022/4756390.

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In order to solve the problems of restricted classroom and lack of repeated training in good curriculum, the design and development of a school life adaptation curriculum based on VR is proposed. This study identified six life adaptation themes for design and development (recognizing facial expressions, crossing the road, how to get lost, shopping, taking public transport, and job interview) and set the objectives, design principles, specific content, teaching evaluation, and other aspects of virtual reality life adaptation course. Combined with the characteristics of virtual reality, the implementation suggestions and matters needing attention are put forward. The results showed that, in the recognition of human facial expressions, 51 experts thought it was appropriate, 3 experts thought it needed to be modified, and no expert thought it was inappropriate. On the topic of crossing the road, 46 experts thought it was appropriate, eight thought it needed to be modified, and no expert thought it was inappropriate. On the theme of taking public transportation, 48 experts thought it was appropriate, 6 experts thought it needed to be modified, and no expert thought it was inappropriate. For the three major topics of how to get lost, shopping, and job interview, 2-3 experts put forward different opinions and think that the topic is not appropriate mainly because the grade arrangement is not appropriate. Conclusion. The VR-based curriculum for school life adaptation has been reviewed by experts and revised by researchers. It is scientific, interesting, and operable, solves the teaching problems of life adaptation teachers, and provides a safe, reliable, and effective practice channel for students.
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Repollu, Maddileti. "Design Expert Software Empowering Ocular Drug Delivery: Learning From Past Successes With Ocular Inserts." Chettinad Health City Medical Journal 13, no. 02 (2024): 81–91. http://dx.doi.org/10.24321/2278.2044.202433.

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Hindustan Abdul, Ahad, Anusha Golla Bala, Haranath Chintaginjala, Sai Priyanka Manchikanti, Akhil Kamsali, and Rahul Raghav Dasari. ""Equator Assessment of Nanoparticles Using the Design- Expert Software"." International Journal of Pharmaceutical Sciences and Nanotechnology 13, no. 1 (2019): 4766–22. http://dx.doi.org/10.37285/ijpsn.2020.13.1.5.

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Winarsih, S. M. Santi, and Retno Palupi. "Perancangan Prototipe Perangkat Lunak Expert System Dengan Metode Backward Chaining Untuk Membantu Proses Pemeriksaan Antenatal Di Tingkat Pelayanan Dasar." JITU : Journal Informatic Technology And Communication 4, no. 1 (2020): 1–9. http://dx.doi.org/10.36596/jitu.v4i1.226.

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Antenatal care at the Basic Service Level is defined antenatal checks will be undertaken to examine the circumstances of the mother and fetus at regular intervals, followed by an attempt correction of deviations found. The goal is to keep pregnant women can go through pregnancy, childbirth and post-partum properly and safely, and to produce a healthy baby.Procees Antenatal still done manually and is very dependent on the health workers so that the necessary software that can help this problem. The present study emphasizes the design of a prototype expert system software to assist in the level of antenatal examination of basic services.The purpose of this research is to make protitipe design software in order to help workers in antenatal care at the level of basic services.The method used in the design of a prototype expert system software that helps antenatal checks the method used in the design of a prototype expert system software to assist in the level of antenatal examination of basic services. The stages are done systematically in this study is a study phase began with a reference library to find supporters then gathered data, to identify and to determine the extent of the problem konseptualisiasi and experts involved, then formalize the knowledge base includes the manufacture of that relate to the topic, determining ie backward chaining inference method, followed by the drafting of a database, and then to design new prototype expert system software with backward chaining method that can assist antenatal examination in basic service level.
 Keywords: expert systems, antenatal, backward chaining
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Slatter, Philip E. "Cognitive emulation in expert system design." Knowledge Engineering Review 2, no. 1 (1987): 27–41. http://dx.doi.org/10.1017/s0269888900000692.

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SummaryCognitive emulation is an expert System design strategy which attempts to model System performance on human (expert) thinking. Arguments for and against cognitive emulation are reviewed. A major conclusion is that a significant degree of cognitive emulation is an inherent feature of design, but that an unselective application of the strategy is both unrealistic and undesirable. Pragmatic considerations which limit or facilitate the viability of a cognitive emulation approach are discussed. Particular attention is given to the conflict between cognitive emulation and established knowledge engineering objectives, detailed over 12 typical expert System features. The paper suggests circum-stances in which a strategy of cognitive emulation is useful.
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James, M. Neil. "Learning from History: The Reliability of Experts and Expert Systems." Advanced Materials Research 44-46 (June 2008): 15–23. http://dx.doi.org/10.4028/www.scientific.net/amr.44-46.15.

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Engineering design must be cost-effective over its complete life cycle and this necessitates a statistical approach to product and service reliability. A particular design therefore has a finite probability of failure during its lifetime and this has implications in terms of ensuring that design procedures, management of design, and operation and inspection are appropriate, effective and sufficient. Sophisticated expert system software packages have enabled wide access to rapid development to prototype and production stages. The expert knowledge encapsulated in such systems may be inadvertently used outside its intended application envelope, leading to unexpected and unwelcome failures. This paper highlights the role of failure analysis and fractography in the context of product reliability. It will present case studies illustrating typical structural reliability problems that highlight issues connected with the ‘reliability’ of experts in assessing the reasons for failure.
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Dissertations / Theses on the topic "Design Expert Software"

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Ajayi-obe, Yomi. "Expert systems in process design." Thesis, University of Strathclyde, 1989. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.293247.

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Elliman, Anthony David. "On the design of computer software to support clinical follow-up studies." Thesis, Brunel University, 1988. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.328954.

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Frost, David Philip. "The design of a natural language interface for medical expert systems." Thesis, Imperial College London, 1990. http://hdl.handle.net/10044/1/46306.

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Ben-Ahmeida, M. M. "A study of the design, reliability and knowledge structures of a multienvironmental medical expert system." Thesis, Brunel University, 1987. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.375833.

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Lawrence, Gregory Wade. "Preliminary PANSAT ground station software design and use of an expert system to analyze telemetry." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 1994. http://handle.dtic.mil/100.2/ADA280600.

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Thesis (M.S. in Astronautical Engineering and Aeronautical and Astronautical Engineer) Naval Postgraduate School, March 1994.<br>Thesis advisor(s): I. M. Ross. "March 1994." Includes bibliographical references. Also available online.
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Vinze, Ajay Shreekrishna. "Knowledge-based support for software selection in information centers: Design criteria, development issues, and empirical evaluation." Diss., The University of Arizona, 1988. http://hdl.handle.net/10150/184417.

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An information center (IC) is described as an organization designed to help end users help themselves. ICs are expected to provide several services to end users. The services can be summarized as: consultation, distribution and trouble-shooting. The research is focused on a specific consultation activity: software selection. Providing support for selection and evaluation of software for users constitutes 91.5 percent of a typical IC's daily workload. In the last decade, ICs have proved successful in managing software resources for organizations. The initial success of ICs has increased user expectations and demand for the services offered but, because ICs are considered cost centers in most organizations, there is growing pressure for them to accomplish more with fewer resources. The research hypothesis is that the knowledge and methodologies of IC consultants, concerning software selection, as well as relevant institutional policies, can be represented in a knowledge base. A knowledge-based system ICE (Information Center Expert) to assist users with software selection has been developed and evaluated in the study reported here. The development of ICE used two main design criteria: maintainability and transportability. Maintainability was defined as the ability to support frequent updating of the software supported by an IC. This is important because new software tools are introduced in the market at a very rapid rate; to stay competitive an IC must be able continually to adapt to this dynamic environment. Transportability was considered necessary to make ICE usable in many different ICs, each supporting a different set of software. The transportability feature allows different ICs to individualize the system to meet their own site-specific needs. Validation studies were conducted to test the appropriateness of the recommendations made by ICE, using "blind" validation procedures in which scenarios (in case form) were presented to consultants. The cases were selected to represent problems frequently taken to an IC. Two sets of solutions, those offered by consultants and those provided by ICE, were then presented to experts who were asked to judge the appropriateness of each solution to a case without knowing its source. To test the comparative advantages of using ICE or IC consultants to obtain assistance with software selection a laboratory experiment was conducted. A hypothetical construct called "Consultation Effectiveness" was used, which included measures for "user satisfaction" with the process, as well as measures for the "task basis" and the "recommendation basis" for evaluating a consultation session.
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Ji, Katrina Yun. "ADAP: A component-based model using design patterns with applications in E-Commerce." CSUSB ScholarWorks, 2000. https://scholarworks.lib.csusb.edu/etd-project/1694.

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Attwater, Iain James Stuart. "Development of an expert system application combining heterogeneous software to form an integrated and concurrent pressure vessel design system." Thesis, University of the West of Scotland, 1995. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.259995.

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Leidy, Frank H. "Design and development of an expert system based quality assurance module for the Dynamo Model of software project management." Thesis, Monterey, California. Naval Postgraduate School, 1989. http://hdl.handle.net/10945/25818.

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Quality assurance is a crucial function to the successful development and maintenance of a software system. Because this activity has a significant impact on the cost of software development, the cost-effectiveness of quality assurance is a major concern to the software quality manager. There are tradeoffs between the economic benefits and costs of quality assurance. Using the Dynamo model of software project management, an optimal quality assurance level and its distribution throughout a project's lifecycle can be identified. The focus of this thesis is to automated the process of identifying the optimum quality assurance level. An expert system was developed that, when interfaced with the Dynamo model, will generate the optimum quality assurance distribution for a given set of parameters. The ability of the expert system to generated more cost-effective quality assurance levels than manually achievable was shown. Keywords: Artificial intelligence; Expert systems; Quality assurance; Simulation. (kt)
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Manaf, Afwarman 1962. "Constraint-based software for broadband networks planninga software framework for planning with the holistic approach /." Monash University, Dept. of Electrical and Computer Systems Engineering, 2000. http://arrow.monash.edu.au/hdl/1959.1/8163.

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Books on the topic "Design Expert Software"

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Segura, Jason M., and Albert C. Reiter. Expert system software: Engineering, advantages, and application. Nova Science Publisher's, Inc., 2010.

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Rod, Johnson. Expert One-on-One J2EE Design and Development. John Wiley & Sons, Ltd., 2005.

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Keller, Richard. Knowledge-intensive software design systems: Can too much knowledge be a burden? NASA, Ames Research Center, Artificial Intelligence Research Branch, 1992.

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Ames Research Center. Artificial Intelligence Research Branch., ed. Knowledge-intensive software design systems: Can too much knowledge be a burden? NASA, Ames Research Center, Artificial Intelligence Research Branch, 1992.

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Lubars, Mitchell D. A knowledge-based design aid for the construction of software systems. Dept. of Computer Science, University of Illinois at Urbana-Champaign, 1986.

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Krishnamoorthy, C. S. Computer aided design: Software and analytical tools. Narosa Pub. House, 1991.

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Krishnamoorthy, C. S. Computer aided design: Software and analytical tools. Springer-Verlag, 1992.

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Seppänen, Veikko. Acquisition and reuse of knowledge to design embedded software. Technical Research Centre of Finland, 1990.

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ACM Symposium on User Interface Software and Technology (7th 1994 Marina del Rey, Calif.). UIST '94: Seventh Annual Symposium on User Interface Software and Technology : proceedings of the ACM Symposium on User Interface Software and Technology, Marina del Rey, California, November 2-4, 1994. Association for Computing Machinery, 1994.

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Gevarter, William B. The nature and evaluation of commercial expert system building tools. National Aeronautics and Space Administration, Ames Research Center, 1986.

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Book chapters on the topic "Design Expert Software"

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Miesbauer, Cornelia, and Rainer Weinreich. "Classification of Design Decisions – An Expert Survey in Practice." In Software Architecture. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-39031-9_12.

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MacCallum, K. J., and A. Duffy. "An Expert System for Preliminary Numerical Design Modelling." In Engineering Software IV. Springer Berlin Heidelberg, 1985. http://dx.doi.org/10.1007/978-3-662-21877-8_16.

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Visser, Willemien. "Planning and Organization in Expert Design Activities." In User-Centred Requirements for Software Engineering Environments. Springer Berlin Heidelberg, 1994. http://dx.doi.org/10.1007/978-3-662-03035-6_3.

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Geymayr, J. A. B., and N. F. F. Ebecken. "An Expert System for Flexible Risers Design and Applications." In Reliability and Robustness of Engineering Software II. Springer Netherlands, 1991. http://dx.doi.org/10.1007/978-94-011-3026-4_18.

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Zubkov, A. V., I. B. Mamai, S. V. Pronichkin, and A. V. Kholstov. "An Expert System for the Priorities Formation in Sustainable Development Fundamental Research." In Software Engineering Application in Systems Design. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-21435-6_73.

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Kung, David C., Hitesh Bhambhani, Riken Shah, and Gaurav Pancholi. "An Expert System for Suggesting Design Patterns — A Methodology and a Prototype." In Software Engineering with Computational Intelligence. Springer US, 2003. http://dx.doi.org/10.1007/978-1-4615-0429-0_11.

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Krivonogov, Anton Alekseevich, Yuriy Nikolaevich Philippovich, and Sergey Aleksandrovich Kesel. "Application of the Method of Expert Assessments in Determining the Level of Criticality of the Information Security Vulnerability of Smart Contracts." In Software Engineering Application in Systems Design. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-21435-6_45.

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Alam, Ashraf, and Atasi Mohanty. "Design, Development, and Implementation of Software Engineering Virtual Laboratory: A Boon to Computer Science and Engineering (CSE) Education During Covid-19 Pandemic." In Proceedings of Third International Conference on Sustainable Expert Systems. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-19-7874-6_1.

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Steinhöfel, Dominic. "Ever Change a Running System: Structured Software Reengineering Using Automatically Proven-Correct Transformation Rules." In Ernst Denert Award for Software Engineering 2020. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-83128-8_10.

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AbstractLegacy systems are business-critical software systems whose failure can have a significant impact on the business. Yet, their maintenance and adaption to changed requirements consume a considerable amount of the total software development costs. Frequently, domain experts and developers involved in the original development are not available anymore, making it difficult to adapt a legacy system without introducing bugs or unwanted behavior. This results in a dilemma: businesses are reluctant to change a working system, while at the same time struggling with its high maintenance costs. We propose the concept of Structured Software Reengineering replacing the ad hoc forward engineering part of a reengineering process with the application of behavior-preserving, proven-correct transformations improving nonfunctional program properties. Such transformations preserve valuable business logic while improving properties such as maintainability, performance, or portability to new platforms. Manually encoding and proving such transformations for industrial programming languages, for example, in interactive proof assistants, is a major challenge requiring deep expert knowledge. Existing frameworks for automatically proving transformation rules have limited expressiveness and are restricted to particular target applications such as compilation or peep-hole optimizations. We present Abstract Execution, a specification and verification framework for statement-based program transformation rules on JAVA programs building on symbolic execution. Abstract Execution supports universal quantification over statements or expressions and addresses properties about the (big-step) behavior of programs. Since this class of properties is useful for a plethora of applications, Abstract Execution bridges the gap between expressiveness and automation. In many cases, fully automatic proofs are in possible. We explain REFINITY, a workbench for modeling and proving statement-level JAVA transformation rules, and discuss our applications of Abstract Execution to code refactoring, cost analysis of program transformations, and transformations reshaping programs for the application of parallel design patterns.
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Shang, Yi, Yu Chen, Hanwen Chen, Zhisen Zhu, and Yong Kang. "Intelligent Layout and Routing of Power Electronic Converters: A Technical Review and Cutting-Edge Exploration." In Lecture Notes in Electrical Engineering. Springer Nature Singapore, 2025. https://doi.org/10.1007/978-981-96-4856-6_1.

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Abstract Power electronic converters are key components in modern power systems. Due to the special characteristics such as processing power flow and operating in switching mode, the layout and routing of power electronic converters are still mainly performed manually, with a low level of automation. This paper reviews the research related to the layout and routing of the main circuits of power electronic converters, distills the core requirements, categorizes the research into traditional layout and deep learning layout methods, and analyzes the characteristics of different approaches. In addition, the paper also proposes a hierarchical layout and routing design framework that can effectively reduce the design parameter space and fully leverage the advantages of design tools such as expert knowledge, deep reinforcement learning, and traditional algorithms. Based on this algorithmic framework, the paper demonstrates the design cases of the self-developed software “Ai BuDao” in the scenario of low-power circuits, preliminarily showing the effectiveness of this design framework.
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Conference papers on the topic "Design Expert Software"

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Savell, C. T., and P. A. Decker. "Corrosion Expert Tool for Vehicle Design." In CORROSION 2002. NACE International, 2002. https://doi.org/10.5006/c2002-02156.

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Abstract This paper describes the development of an expert tool for vehicle design that assists the designer in avoiding bad design decisions, which may cause corrosion problems during the life of the vehicle. The tool is an autonomous agent installed as part of designer's CAD/CAE system. It uses an AI Expert Production System containing Rules in its Knowledge Base and an Inference Engine that compares these stored Rules with the information (Facts) provided by the designer and CAD/CAE software. An important enhancement in this system not found in most Expert Systems is an Uncertainty Processor. The Uncertainty Processor calculates the estimated uncertainty (and its precision) associated with the delivered proposed conclusion. This is accomplished by calculating the cumulative values determined by propagating and combining the estimated error and precision found in each and every Rule and Fact used in the chaining logic required in arriving at the proposed final conclusion. Also included is a Knowledge Acquisition Facility used by corrosion and vehicle design experts to load supporting knowledge and Rules into the Knowledge Base, and an on-demand Explanation Facility to detail the logic used by the system to arrive at the conclusion.
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Savell, C. Thomas, Bob Baboian, Russ Kane, et al. "Intelligent Agents for Corrosion Prevention in New Vehicle Design." In CORROSION 2003. NACE International, 2003. https://doi.org/10.5006/c2003-03218.

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Abstract This paper describes the development of an expert tool for vehicle design that assists the designer in avoiding bad design decisions, which may cause corrosion problems during the life of the vehicle. The tool is an autonomous agent installed as part of designer's CAD/CAE system. It uses a Hybrid Expert Production System containing Rules in its Knowledge Base and both an Inference Engine that compares these stored Rules with the information (Facts) provided by the designer and CAD/CAE software and a Bayesian Network for processing uncertainty in the facts and rules. An important enhancement in this system not found in most Expert Systems is an Uncertainty Processor. The Bayesian Net calculates the cumulative uncertainty determined by propagating and combining the estimated error found in each and every Rule and Fact used in the chaining logic required in arriving at the proposed final conclusion. Also included is a Knowledge Acquisition Facility used by corrosion and vehicle design experts to load supporting knowledge and Rules into the Knowledge Base, and an on-demand Explanation Facility to detail the logic used by the system to arrive at the conclusion. The model is verified by simulating the galvanic corrosion of a truck door latch during Accelerated Corrosion Testing.
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Calvarano, Mara, Domenico Condanni, and Bruno Bazzoni. "“Corrosion Intelligence”: An Application to Oil and Gas Pipelines." In CORROSION 1997. NACE International, 1997. https://doi.org/10.5006/c1997-97324.

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Abstract The transfer of sound corrosion knowledge from human experts to dedicated software tools has been individuated as a strategic activity, and, accordingly, a number of applications have been developed in recent years. This approach to corrosion, which represents a new phase, coming after those of corrosion science and corrosion engineering, has been labelled “corrosion intelligence”(1), and it matches several needs of an oil company, as: standardisation of design procedures; “capitalization” of available knowledge in programs easy to update; decentralisation of the expertise. The paper illustrates an expert system dealing with all aspects related to oil and gas pipeline corrosion, including: internal and external corrosion; material selection and corrosion control requirements; internal corrosion monitoring; coatings; cathodic protection; corrosion in transient phases; intelligent pig inspection; costs comparison. In particular, the modules for internal and external corrosion assessment are described. The general architecture of the application, based on independent expert modules, is discussed in detail and examples of results, with relevant interfaces, are shown. The expert system is also evaluated with respect to another software application for the assessment of corrosion risks.
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Bortels, Leslie. "Expert 3D Software Simulations for Cathodic Protection in Offshore and Marine Environments." In CORROSION 2009. NACE International, 2009. https://doi.org/10.5006/c2009-09516.

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Abstract This paper presents a 3D software tool for the design and optimization of cathodic protection systems for submerged structures. It provides the corrosion engineer an intelligent tool for managing operational costs, significantly reducing expensive commissioning surveys and costly repairs, adding major value to the cathodic protection business. A Finite Element Model (FEM) is used to solve the potential model taking into account ohmic drop effects in the electrolyte and cabling and non-linear polarization behaviour at both the cathode and anode. From the resulting potential field in the seawater electrical and magentic signatures can be obtained. In this paper several examples will be presented including oil platform, ballast tank and a marine vessel for which the ICCP has been optimized in order to minimize the underwater electrical potential and corrosion related magnetic signature.
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Soper, Paul, Charles Boardman, and Kenneth Trethewey. "Using Hypermedia to Modernise Legacy Expert Systems." In CORROSION 1998. NACE International, 1998. https://doi.org/10.5006/c1998-98398.

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Abstract The idea of legacy systems which conserve some valuable parts of an outdated software system is applied to conserving the Knowledge Base (KB) engineered into an existing Knowledge-Based System (KBS) on corrosion. Preliminary work is reported on incorporating this KB into a framework which combines hypermedia and KBS technologies. The user interface to this new framework is similar to browsing on the World Wide Web. As well as browsing, the framework allows users to interrogate the corrosion KB, either to obtain advice or to generate computed links to other parts of the hypermedia. It also allows new documents, such as case studies, to be linked into the hypermedia semi-automatically. This paper outlines the main features of the end-product, some of the design details and the current progress.
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Vancoille, M. J. S., W. F. Bogaerts, M. J. Rijckaert, and K. U. Leuven. "Prime - the European Esprit Project on Expert Systems for Materials Selection." In CORROSION 1988. NACE International, 1988. https://doi.org/10.5006/c1988-88121.

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Abstract In order to cope with the challenges of the ever growing world market on Information Technology, the European Commission launched the ESPRIT programme. Within the framework of this ambitious project, our research group developed the expert system Prime which deals with material selection and corrosion prevention. This topic plays an ever increasingly important role in all major industrial branches. The application of Artificial Intelligence and the latest expert system software tools, will lead to the construction of a highly versatile and powerful aid for both material and corrosion specialists and design engineers who frequently need this kind of expertise.
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Kopliku, Ardjan, Domenico Condanni, and Alberto Bazzoni. "An Expert System to Assist Corrosion Engineers in Material Selection for Well Completion." In CORROSION 1997. NACE International, 1997. https://doi.org/10.5006/c1997-97327.

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Abstract The need for a tool that could help corrosion engineers in the time consuming task of evaluating the corrosivity of the fluids involved in the gas and oil fields, and to select the best cost-performing materials and corrosion control methods was and still is strongly felt in the oil companies. Information technology offers plenty of possibilities: the development of an expert system was judged the best way to construct such a tool because the nature of the work performed by corrosion engineers is based mainly on experience and can be simulated in an optimal manner by this type of software. The characteristics of the expert system are described. The architecture and the multidisciplinary approach used to deal with the multifaceted problem of selecting the best option for the corrosion control are discussed. The expert system evaluates, in a first module, the corrosivity of the produced fluids with respect to carbon steel; in a second module, the effect of the well design is considered (effect of flow characteristics, water wetting, etc.). In the third module, the selection of the applicable materials, each one associated to a performance index, is carried out. The fourth module evaluates the possible corrosion control methods and in three sub-modules the impact of completion fluid, stimulation acid mixtures, and galvanic coupling is estimated. A first approach to the risk analysis of the possible selections is performed in the fifth module. A cost comparison between the different solutions is performed, based on the life cycle cost method, to be able to select the optimal material/corrosion control method for well completion both from technical and economic point of view. The feedback from the continuous use of the system for a period of three years is reported and the programs for future developments are described.
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Obeyesekere, Nihal, Jonathan Wylde, and Thusitha Wickramarachchi. "Formulation of Corrosion Inhibitors Using Design of Experiment (DOE) Methods and Discovering Highly Performing Inhibitors by High Throughput Experimentation (HTE) Methods Using Critical Micelle Concentration." In CORROSION 2021. AMPP, 2021. https://doi.org/10.5006/c2021-16994.

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ABSTRACT Critical micelle concentration (CMC) is a known indicator for surfactants such as corrosion inhibitors ability to partition from two phase systems such as oil and water. Most corrosion inhibitors are surface active and at critical micelle concentration, the chemical is partitioned to water, physadsorb on metallic surfaces and form a physical barrier between steel and water. This protective barrier thus prevents corrosion from taking place on the metal surface When the applied chemical concentration is equal or higher than the CMC, the chemical is available in aqueous phase, thus preventing corrosion. Therefore, it was suggested that CMC can be used as an indicator of optimal chemical dose for corrosion control1. The lower the CMC of a corrosion inhibitor product, the better is this chemical for corrosion control as the availability of the chemical in the aqueous phase increase and therefore, can achieve corrosion control with less amount of chemical. In this work, this physical property (CMC) was used as an indicator to differentiate corrosion inhibitor performance. The corrosion inhibitor formulations were built out by using combinatorial chemical methods and the arrays of chemical formulations were screened by utilizing high throughput robotics2-4, using CMC as the selection guide. To validate the concept, several known corrosion inhibitor formulas were selected to optimize their efficacy. Each formula contained several active ingredients and a solvent package. These raw materials were blended in random but in a control, manner using combinatorial methodologies. Instead of rapidly blending a large number of formulations using robotics, the design of control (DOE) methods were utilized to constrain the number of blends. Once the formulations were generated by DOE method, using Design Expert software that can effectively explore a desired space. The development of an equally robust prescreening analysis was also developed. This was done by using the measurements of CMC with a high-throughput screening methodology. After formulation of a vast array of formulation by using Design Expert software, the products were screened for by CMC using automated surface tension workstation. Several formulations with lower CMC than the reference products were selected. The selected corrosion inhibitor formulations were identified and blended in larger scales. The efficacy of these products was tested by classical laboratory testing methods such as rotating cylinder electrode (RCE) and rotating cage autoclave (RCA) to determine their performance as anti-corrosion agents. These tests were performed against the original reference corrosion inhibitor. The testing indicated that several corrosion inhibitor formulations outperform the original blend thus validating the proof of concept.
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Petre, Marian. "Insights from expert software design practice." In the 7th joint meeting of the European software engineering conference and the ACM SIGSOFT symposium on The foundations of software engineering. ACM Press, 2009. http://dx.doi.org/10.1145/1595696.1595731.

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Yang, Shunkun. "Bayesian Network Based Software Diagnosis Expert System." In 2012 Second International Conference on Intelligent System Design and Engineering Application (ISDEA). IEEE, 2012. http://dx.doi.org/10.1109/isdea.2012.533.

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Reports on the topic "Design Expert Software"

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Paynter, Robin A., Gaelen P. Adam, Allison Hedden-Gross, Claire Twose, and Christiane Voisin. Systematic Review Search Strategy Development Tools: A Practical Guide for Expert Searchers. Agency for Healthcare Research and Quality (AHRQ), 2025. https://doi.org/10.23970/ahrqepcwhitepapersearch.

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Background. The explosive growth in the number of original biomedical research publications and subsequent systematic reviews has driven the increase in the number of software tools created to automate many of the processes involved in the conduct of systematic reviews, particularly search strategy design and execution. However, this growth in software tools has not been accompanied by a systematic approach for providing expert review of these tools and their utility in supporting search strategy development. Objectives. Our goal was to provide practical guidance and information about automation tools for literature searching by conducting a descriptive comparative analysis of the free search strategy tools listed on the Systematic Review Toolbox1,2 (SR Toolbox) website. We plan to make our analysis freely available through web-based distribution. Methods. Our search expert panel is composed of five biomedical librarians currently active in the Agency for Healthcare Research and Quality (AHRQ) Effective Health Care Program Evidence-based Practice Centers (EPC). After screening, members of our expert panel dual reviewed included tools based on these criteria with any assessment disagreements resolved via consensus. Further, we categorized each tool by search-process step; tools could be applicable to more than one step. Results. Search strategy tools were identified from the SR Toolbox website. Of the 102 total tools listed on their search software webpage (initial search September 2021 N=78; update search February 2023 N=24 new tools), we determined 21 to be search strategy development tools and eligible for review. Based on our expert review, we found the preponderance of the 21 chosen tools are designed for the initial strategy development steps (i.e., scoping, keyword/phrase, and subject term discovery), though there are tools in most steps, except for strategy logic evaluation. From our review score sheets, we created a table of tools, arranged them by search process step, and rated their performance across our key criteria. Conclusion. We created what we believe is a quick and intuitive guide for expert searchers that organizes the tools by search strategy development phase, evaluates key features, and provides advice on how to use the tool effectively.
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Vakaliuk, Tetiana A., Olha V. Korotun, and Serhiy O. Semerikov. The selection of cloud services for ER-diagrams construction in IT specialists databases teaching. CEUR Workshop Proceedings, 2021. http://dx.doi.org/10.31812/123456789/4371.

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One of the main aspects of studying databases in higher education institutions by future IT specialists is database design and software product development. This, in turn, is the most important problem of the developer’s interaction with the customer. To facilitate the process of database design, ER-diagrams are used, which are based on the concepts of “Entity” and “Relationship”. An ER diagram allows you to present a database in the form of visual graphical objects that define a specific subject area. The article considers the available cloud services for the construction of ER-diagrams for learning databases of future IT specialists and their selection the method expert evaluation. For this purpose, the criteria and indicators for the selection of cloud services for the construction of ER-diagrams of databases by future information technology specialists have been determined. As a result, it was found that the cloud services Dbdesigner.net and Lucidchart are the most convenient to learn. It is determined that for a teacher of a higher education institution the use of cloud services is an opportunity to use licensed software in education without additional costs.
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Kolgatina, Larisa, Lyudmyla Bilousova, and Oleksandr Kolgatin. Pedagogical diagnostics with use of computer technologies. CEUR-WS, 2013. http://dx.doi.org/10.31812/123456789/3222.

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The technology of the automated pedagogical diagnostics is analysed. The testing strategy, oriented for pedagogical diagnostics purpose, and grading algorithm, which corresponds to Ukrainian school grading standards, are suggested. "Expert 3.05”software for automated pedagogical testing is designed. The methods of administration of the database of the test items are proposed. Some tests on the mathematical topics are prepared with "Expert 3.05". The approbation of these tests in the educational process of Kharkov National Pedagogical University named after G.S.Skovoroda is analysed.
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DSC-MRI Consensus QIBA Profile. Chair Ona Wu, Mark Shiroishi, and Leland Hu. Radiological Society of North America (RSNA)/Quantitative Imaging Biomarkers Alliance (QIBA), 2020. https://doi.org/10.1148/qiba/20201022.

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The goal of a QIBA Profile is to help achieve a useful level of performance for a given biomarker. Profile development is an evolutionary, phased process; this Profile is in the Public Comment Resolution Draft stage. The performance claims represent expert consensus and will be empirically demonstrated at a subsequent stage. Users of this Profile are encouraged to refer to the following site to understand the document’s context: http://qibawiki.rsna.org/index.php/QIBA_Profile_Stages. The Claim (Section 2) describes the biomarker performance. The Activities (Section 3) contribute to generating the biomarker. Requirements are placed on the Actors that participate in those activities as necessary to achieve the Claim. Assessment Procedures (Section 4) for evaluating specific requirements are defined as needed. Conformance (Section 5) regroups Section 3 requirements by Actor to conveniently check Conformance. This QIBA Profile, Dynamic-Susceptibility-Contrast Magnetic Resonance Imaging (DSC-MRI), addresses the measurement of an imaging biomarker for relative Cerebral Blood Volume (rCBV) for the evaluation of brain tumor progression or response to therapy. We note here, that this profile does not claim to be measuring quantitative rCBV due to lack of existing supporting literature; it does provide claims for a biomarker that is proportional to rCBV, which is the tissue-normalized first-pass area under the contrast-agent concentration curve (AUC-TN). The AUC-TN therefore has merit as a potential biomarker for diseases or treatments that impact rCBV. This profile places requirements on Sites, Acquisition Devices, Contrast Injectors, Contrast Media, Radiologists, Physicists, Technologists, Reconstruction Software, Image Analysis Tools and Image Analysts involved in Site Conformance, Staff Qualification, Product Validation, Pre-delivery, Periodic QA, Protocol Design, Subject Handling, Image Data Acquisition, Image Data Reconstruction, Image QA, Image Distribution, Image Analysis and Image Interpretation. The requirements are focused on achieving known (ideally negligible) bias and avoiding unnecessary variability of the of the AUC-TN measurements. The clinical performance is characterized by a 95% confidence interval for the AUC-TN true change (Y2-Y1) in enhancing tumor tissue (𝑌−𝑌)±1.96× (𝑌×0.31) +(𝑌×0.31) and in normal tissue (𝑌−𝑌)±1.96× (𝑌×0.40) +(𝑌×0.40), where Y1 is the baseline measurement and Y2 is the follow-up measurement. These estimates are based on current literature values but may be updated based on future studies (see Section 2.2 for details). This document is intended to help clinicians basing decisions on this biomarker, imaging staff generating this biomarker, vendor staff developing related products, purchasers of such products and investigators designing trials with imaging endpoints. Note that this document only states requirements to achieve the claim, not “requirements on standard of care.” Conformance to this Profile is secondary to properly caring for the patient. QIBA Profiles addressing other imaging biomarkers using CT, MRI, PET and Ultrasound can be found at qibawiki.rsna.org.
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Furman, Burford, Laxmi Ramasubramanian, Shannon McDonald, et al. Solar-Powered Automated Transportation: Feasibility and Visualization. Mineta Transportation Institute, 2021. http://dx.doi.org/10.31979/mti.2021.1948.

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A solar-powered automated transportation network (ATN) connecting the North and South campuses of San José State University with three passenger stations was designed, visualized, and analyzed in terms of its energy usage, carbon offset, and cost. The study’s methodology included the use of tools and software such as ArcGIS, SketchUp, Infraworks, Sketchup, Rhinoceros, and Autodesk 3DS Max. ATN vehicle energy usage was estimated using data from the university’s Park &amp; Ride shuttle bus operation and by modeling with SUMOPy, the advanced simulation suite for the micro-traffic simulator SUMO. The energy study showed that an extensive solar photovoltaic (PV) canopy over the guideway and stations is sufficient for the network to run 24/7 in better-than-zero net-metered conditions—even if ridership were to increase 15% above that predicted from SJSU Park &amp; Ride shuttle data. The resulting energy system has a PV-rated output of 6.2 MW, a battery system capacity of 9.8 MWh, and an estimated cost of $11.4 million USD. The solar ATN also produces 98% lower CO2 and PM2.5 emissions compared to the Park &amp; Ride shuttle bus. A team of experts including urban planners, architects, and engineers designed and visualized the conceptual prototype, including a comprehensive video explaining the need for solar ATN and what a typical rider would experience while utilizing the system. This research demonstrates both benefits and challenges for solar-powered ATN, as well as its functionality within the urban built environment to serve diverse San José neighborhoods.
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Głąb, Tomasz, Jarosław Knaga, Tomasz Zaleski, Paweł Dziwisz, Jan Gluza, and Dariusz Glanas. Determination of soil particle size distribution using computer analysis of microscopic images. Publishing House of the University of Agriculture in Krakow, 2025. https://doi.org/10.15576/repourk/2025.1.3.

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The project aims to develop a prototype device for determining the texture of soils and mineral deposits. The innovation of the designed solution consists in a significant reduction in the time of composition analysis with the possibility of any division into granulometric groups and the complete automation of the measurement from the moment the sample is introduced into the apparatus until the result is obtained. As part of the project, industrial research and experimental development are planned to be divided into the following stages: 1. Development of the measuring system. 2. Development of the structure and construction of device prototypes. 3. Development of the construction of the measuring system 4. Development of a mathematical model for processing data from the measuring system. 5. Preparation of software for device control and data recording. 6. Making the final prototype of the device. 7. Test tests of the final version of the device. The research will be conducted by a research consortium consisting of the project leader, i.e. Aumatic sp. z o.o. and the University of Agriculture in Krakow. The developed product will be intended for sale both on the domestic market and for export. Due to the number of entities potentially interested in the apparatus and the financial possibilities of potential recipients, the largest market should be developed countries (e.g. EU countries, USA, Canada, etc.). The main target groups of clients were: 1. Scientific institutions (universities, research institutes). 2. Institutions and enterprises performing analyzes for the needs of precision farming. 3. Chemical and Agricultural Stations. 4. Ceramic clay mining plants. 5. Manufacturers of ceramic products. 6. Laboratories conducting geotechnical tests for the needs of construction. 7. Laboratories carrying out environmental tests in the field of soil quality. 8. Provincial Inspectorates for Environmental Protection, Regional Directorates for Environmental Protection
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Hsieh, Patrick, Eric Apaydin, Robert G. Briggs, et al. Diagnosis and Treatment of Tethered Spinal Cord. Agency for Healthcare Research and Quality (AHRQ), 2024. http://dx.doi.org/10.23970/ahrqepccer274.

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Objectives. To summarize the evidence regarding diagnosis, prophylactic treatment, symptomatic treatment, and repeat surgery of tethered spinal cord. Data sources. We searched PubMed®, Embase®, CINAHL, Web of Science, SCOPUS, clinicaltrials.gov, ICTRP, Cochrane Database of Systematic Reviews, PROSPERO, ECRI repository, G-I-N, MagicApp, and ClinicalKey from inception to March 2024; reference-mined reviews; and contacted research authors. Review methods. The review followed a detailed protocol and was supported by a Technical Expert Panel. Systematic review software (DistillerSR) was utilized for all screening and data extraction tasks. Citation screening was facilitated by machine learning; two independent reviewers each screened full text citations for eligibility; one literature reviewer extracted data and a methodologist checked for accuracy. Risk of bias assessments focused on key sources of bias for diagnostic and intervention studies. We conducted strength of evidence (SoE) and applicability assessments for key outcomes. The protocol for the review has been registered in PROSPERO (CRD42023461296). Results. Searches identified 6,285 citations; 2,005 were obtained as full text. In total, 103 studies met inclusion criteria, with an additional 355 case series providing additional information. We found the strongest evidence for accuracy of MRI in diagnosing tethered spinal cord. Specifically, studies indicated this modality has medium to high diagnostic sensitivity and specificity (moderate SoE). A small number of existing studies suggested benefits of prophylactic surgery, but it was also associated with complications such as surgical site infection (low SoE). A larger body of evidence evaluated various treatments for symptomatic patients, with the majority focused on surgical detethering. Studies reported improvement of neurological status after surgical detethering (low SoE), but it was also associated with post-operative complications such as cerebrospinal fluid leakage (moderate SoE). A very small body of evidence exists for revision detethering and spinal column shortening for repeat surgery (low or insufficient SoE for all outcomes). Across diagnosis, prophylactic treatment, symptomatic treatment, and repeat surgery there was insufficient evidence for multiple key outcomes (e.g., over- or undertreatment, clinical impact of diagnostic modalities, ambulation or quality of life outcomes) and thus no evidence statements could be derived. Conclusions. The evidence base for the diagnosis and treatment of tethered spinal cord is limited, with few exceptions (use of MRI or ultrasound for diagnosis, surgical detethering improving neurological status in symptomatic patients, complications associated with open detethering surgery) and would benefit from stronger study designs that include tool evaluations reporting diagnostic performance and treatment studies with concurrent comparator.
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Peterson, Bradley S., Joey Trampush, Margaret Maglione, et al. ADHD Diagnosis and Treatment in Children and Adolescents. Agency for Healthcare Research and Quality (AHRQ), 2024. http://dx.doi.org/10.23970/ahrqepccer267.

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Objective. The systematic review assessed evidence on the diagnosis, treatment, and monitoring of attention deficit hyperactivity disorder (ADHD) in children and adolescents to inform a planned update of the American Academy of Pediatrics (AAP) guidelines. Data sources. We searched PubMed®, Embase®, PsycINFO®, ERIC, clinicaltrials.gov, and prior reviews for primary studies published since 1980. The report includes studies published to June 15, 2023. Review methods. The review followed a detailed protocol and was supported by a Technical Expert Panel. Citation screening was facilitated by machine learning; two independent reviewers screened full text citations for eligibility. We abstracted data using software designed for systematic reviews. Risk of bias assessments focused on key sources of bias for diagnostic and intervention studies. We conducted strength of evidence (SoE) and applicability assessments for key outcomes. The protocol for the review has been registered in PROSPERO (CRD42022312656). Results. Searches identified 23,139 citations, and 7,534 were obtained as full text. We included 550 studies reported in 1,097 publications (231 studies addressed diagnosis, 312 studies addressed treatment, and 10 studies addressed monitoring). Diagnostic studies reported on the diagnostic performance of numerous parental ratings, teacher rating scales, teen/child self-reports, clinician tools, neuropsychological tests, EEG approaches, imaging, and biomarkers. Multiple approaches showed promising diagnostic performance (e.g., using parental rating scales), although estimates of performance varied considerably across studies and the SoE was generally low. Few studies reported estimates for children under the age of 7. Treatment studies evaluated combined pharmacological and behavior approaches, medication approved by the Food and Drug Administration, other pharmacologic treatment, psychological/behavioral approaches, cognitive training, neurofeedback, neurostimulation, physical exercise, nutrition and supplements, integrative medicine, parent support, school interventions, and provider or model-of-care interventions. Medication treatment was associated with improved broadband scale scores and ADHD symptoms (high SoE) as well as function (moderate SoE), but also appetite suppression and adverse events (high SoE). Psychosocial interventions also showed improvement in ADHD symptoms based on moderate SoE. Few studies have evaluated combinations of pharmacological and youth-directed psychosocial interventions, and we did not find combinations that were systematically superior to monotherapy (low SoE). Published monitoring approaches for ADHD were limited and the SoE is insufficient. Conclusion. Many diagnostic tools are available to aid the diagnosis of ADHD, but few monitoring strategies have been studied. Medication therapies remain important treatment options, although with a risk of side effects, as the evidence base for psychosocial therapies strengthens and other nondrug treatment approaches emerge.
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