1,919 research outputs found

    Simulation verification techniques study

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    Results are summarized of the simulation verification techniques study which consisted of two tasks: to develop techniques for simulator hardware checkout and to develop techniques for simulation performance verification (validation). The hardware verification task involved definition of simulation hardware (hardware units and integrated simulator configurations), survey of current hardware self-test techniques, and definition of hardware and software techniques for checkout of simulator subsystems. The performance verification task included definition of simulation performance parameters (and critical performance parameters), definition of methods for establishing standards of performance (sources of reference data or validation), and definition of methods for validating performance. Both major tasks included definition of verification software and assessment of verification data base impact. An annotated bibliography of all documents generated during this study is provided

    Integrating CLIPS applications into heterogeneous distributed systems

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    SOCIAL is an advanced, object-oriented development tool for integrating intelligent and conventional applications across heterogeneous hardware and software platforms. SOCIAL defines a family of 'wrapper' objects called agents, which incorporate predefined capabilities for distributed communication and control. Developers embed applications within agents and establish interactions between distributed agents via non-intrusive message-based interfaces. This paper describes a predefined SOCIAL agent that is specialized for integrating C Language Integrated Production System (CLIPS)-based applications. The agent's high-level Application Programming Interface supports bidirectional flow of data, knowledge, and commands to other agents, enabling CLIPS applications to initiate interactions autonomously, and respond to requests and results from heterogeneous remote systems. The design and operation of CLIPS agents are illustrated with two distributed applications that integrate CLIPS-based expert systems with other intelligent systems for isolating and mapping problems in the Space Shuttle Launch Processing System at the NASA Kennedy Space Center

    EXODUS: Integrating intelligent systems for launch operations support

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    Kennedy Space Center (KSC) is developing knowledge-based systems to automate critical operations functions for the space shuttle fleet. Intelligent systems will monitor vehicle and ground support subsystems for anomalies, assist in isolating and managing faults, and plan and schedule shuttle operations activities. These applications are being developed independently of one another, using different representation schemes, reasoning and control models, and hardware platforms. KSC has recently initiated the EXODUS project to integrate these stand alone applications into a unified, coordinated intelligent operations support system. EXODUS will be constructed using SOCIAL, a tool for developing distributed intelligent systems. EXODUS, SOCIAL, and initial prototyping efforts using SOCIAL to integrate and coordinate selected EXODUS applications are described

    Auditing in common computer environments; Auditing procedure study;

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    https://egrove.olemiss.edu/aicpa_guides/1039/thumbnail.jp

    Centralized Database for Laboratory Test: A Case Study Of Oil Refinery

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    أن إدارة البيانات موضوع مهم في إدارة المعلومات و يمكن أعتمادها كمصدر من المصادر المعتمدة في المصانع والمصافي , حيث يمكن استخدام البيانات الصحيحة وذات الصلة كمصدر للمعلومات القيمة فيها و أتخاذ القرارت السليمة في العمل بناء عليها.و يعتبر نظام قاعدة البيانات الخيار الأفضل لأدارة البيانات بشكل كفوء.في مصافي النفط يكون للمختبرات دور مساند للعملية التشغيلية و يوفر للعاملين المعرفة المطلوبة لضمان السيطرة على الظروف التشغيلية للوحدات التشغيلية. . يمكن النظر الى النتائج المختبرية التي تجرى على نماذج النفط الخام الداخل لوحدة تكرير النفط الخام و المشتقات النفطية الوسطية و النهائية للوحدات التشغيلية في مصفى النفط كمصدر معتمد من ضمن المصادر فيه , و يتم ذلك بتخزينها كبيانات في قاعدة بيانات مركزية منصبة على شبكة إنترانت ذات نظام عميل -خادم. و بذلك تتم أدارة هذه البيانات بشكل كفوء بأستخدام الأنترانيت كشبكة خاصة مع قاعدة بيانات مركزية في مصفاة للنفط . و هذا سوف يوفر تبادل آمن وسريع للمعلومات داخل مصفاة النفط، ويؤدي الى تحسين إنتاجية الموظفين، وإدارة الوقت، والحد من العديد من المصروفات الإدارية، ويمكن أن تصمم شبكة الأنترانيت وفقا لاحتياجات المصفاة وان تخضع إلى السياسات الداخلية للمصفاة ، ثم أنها رخيصة التنفيذ والتشغيل. كذلك يتمكن العاملين في المصفى المرخصين العملاء من الوصول إلى قاعدة البيانات المركزية والأطلاع على هذه البيانات (النتائج المختبرية) باستخدام أجهزة الكمبيوتر الخاصة بهم في أماكن عملهم , وهذا سيوفر لهم الوقت ويمنحهم القدرة على اتخاذ القرار الصحيح المطلوب بسرعة لحل المشاكل التشغيلية الخطرة في الوحدة التشغيلية  ويؤدي إلى تحسين السيطرة النوعية و مراقبة الجودة في العملية التشغيلية في مصفاة النفط.The data management can be considered as an important subject in information management. The correct and relevant data can be used as a source of valuable information in organization like factories and refineries, and by good management of this data the right decision can be take. The database system is considered as the best choice to manage data efficiently. In oil refinery the laboratories will support the operational processing and provide the employees with knowledge to control the operational condition of unit operation. These laboratories results can be considered as a resource of information in oil refinery and stored in centralized database of client-server system installed on intranet. Using intranet as a private network with central database in oil refinery will provide secure and speed sharing of information within oil refinery, improve employee's productivity, time management, reduce many of the administrative expenses, it can be designed according to the needs of refinery and is subject to internal policies, at last it is cheap to be implemented and run. The authorized employees can access central database and see these laboratories results by using their clients' computers; this will save time and  give them the ability to take required right decision quickly in the operation unit and lead to improve quality control on the operational process in oil refinery

    Space station data system analysis/architecture study. Task 2: Options development, DR-5. Volume 2: Design options

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    The primary objective of Task 2 is the development of an information base that will support the conduct of trade studies and provide sufficient data to make key design/programmatic decisions. This includes: (1) the establishment of option categories that are most likely to influence Space Station Data System (SSDS) definition; (2) the identification of preferred options in each category; and (3) the characterization of these options with respect to performance attributes, constraints, cost and risk. This volume contains the options development for the design category. This category comprises alternative structures, configurations and techniques that can be used to develop designs that are responsive to the SSDS requirements. The specific areas discussed are software, including data base management and distributed operating systems; system architecture, including fault tolerance and system growth/automation/autonomy and system interfaces; time management; and system security/privacy. Also discussed are space communications and local area networking

    Space station data system analysis/architecture study. Task 2: Options development, DR-5. Volume 3: Programmatic options

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    Task 2 in the Space Station Data System (SSDS) Analysis/Architecture Study is the development of an information base that will support the conduct of trade studies and provide sufficient data to make design/programmatic decisions. This volume identifies the preferred options in the programmatic category and characterizes these options with respect to performance attributes, constraints, costs, and risks. The programmatic category includes methods used to administrate/manage the development, operation and maintenance of the SSDS. The specific areas discussed include standardization/commonality; systems management; and systems development, including hardware procurement, software development and system integration, test and verification

    Graduate Catalog Center for Computer and Information Sciences

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