Academic literature on the topic 'AGC SYSTEM'
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Journal articles on the topic "AGC SYSTEM"
Ullah, Kaleem, Abdul Basit, Zahid Ullah, Sheraz Aslam, and Herodotos Herodotou. "Automatic Generation Control Strategies in Conventional and Modern Power Systems: A Comprehensive Overview." Energies 14, no. 9 (April 22, 2021): 2376. http://dx.doi.org/10.3390/en14092376.
Full textDing, You Qing, and Pei Feng Wang. "Optimal Design for the Hydraulic AGC System of Thick Steel Plate Miller." Applied Mechanics and Materials 233 (November 2012): 196–99. http://dx.doi.org/10.4028/www.scientific.net/amm.233.196.
Full textTang, Junci, Tie Li, Junbo Pi, and Dai Cui. "Photovoltaic-grid control method based on self-gain system compensation." International Journal of Low-Carbon Technologies 17 (November 27, 2021): 97–101. http://dx.doi.org/10.1093/ijlct/ctab090.
Full textGwon, Han Na, and Kyung Soo Kook. "Dynamic-Model-Based AGC Frequency Control Simulation Method for Korean Power System." Energies 13, no. 19 (September 25, 2020): 5052. http://dx.doi.org/10.3390/en13195052.
Full textPotap, О. Yu, and А. V. Ivanichyk. "The accuracy of rolling thickness adjustment in conditions of high-frequency disturbances taking into account the speed of roll setting devices." Fundamental and applied problems of ferrous metallurgy 36 (2022): 299–307. http://dx.doi.org/10.52150/2522-9117-2022-36-299-307.
Full textGarg, Jitendra Kumar, Anita Khosla, and Nizamuddin Hakimuddin. "AGC of a multi sources power system with natural choice of power plants." EMITTER International Journal of Engineering Technology 7, no. 1 (June 15, 2019): 105–28. http://dx.doi.org/10.24003/emitter.v7i1.342.
Full textUllah, Kaleem, Abdul Basit, Zahid Ullah, Rafiq Asghar, Sheraz Aslam, and Ayman Yafoz. "Line Overload Alleviations in Wind Energy Integrated Power Systems Using Automatic Generation Control." Sustainability 14, no. 19 (September 20, 2022): 11810. http://dx.doi.org/10.3390/su141911810.
Full textPeng, Daogang, Yue Xu, and Huirong Zhao. "Research on Intelligent Predictive AGC of a Thermal Power Unit Based on Control Performance Standards." Energies 12, no. 21 (October 25, 2019): 4073. http://dx.doi.org/10.3390/en12214073.
Full textAdrian, J. L., C. C. Montgomery, B. K. Behe, P. A. Duffy, and K. M. Tilt. "Cost Comparisons for Infield, Above Ground Container and Pot-in-Pot Production Systems." Journal of Environmental Horticulture 16, no. 2 (June 1, 1998): 65–68. http://dx.doi.org/10.24266/0738-2898-16.2.65.
Full textSharma, Gulshan. "Optimal AGC Design for Diverse Sources of Power Generations in each Area Using Output Vector Feedback Control Technique." International Journal of Engineering Research in Africa 45 (November 2019): 99–114. http://dx.doi.org/10.4028/www.scientific.net/jera.45.99.
Full textDissertations / Theses on the topic "AGC SYSTEM"
Křivanová, Jana. "Systém vzdělávání pracovníků ve společnosti AGC Flat Glass Czech, a.s." Master's thesis, Vysoká škola ekonomická v Praze, 2011. http://www.nusl.cz/ntk/nusl-81332.
Full textGUPTA, NIDHI. "AUTOMATIC GENERATION CONTROL OF INTERCONNECTED MULTI AREA POWER SYSTEM." Thesis, DELHI TECHNOLOGICAL UNIVERSITY, 2021. http://dspace.dtu.ac.in:8080/jspui/handle/repository/18414.
Full textFrykskog, David, and Hjalmar Jonsson. "Construction of RF-link budget template for transceiver modelling." Thesis, Linköpings universitet, Fysik och elektroteknik, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-162159.
Full textFleming, Robert Swope. "The end of the Intel age." Thesis, Massachusetts Institute of Technology, 2011. http://hdl.handle.net/1721.1/67553.
Full textCataloged from PDF version of thesis.
Includes bibliographical references (p. 108-111).
Executive Summary - The End of the Intel Era. Today, Intel is nearly synonymous with computers. In the past thirty years nearly all personal computers and the great majority of servers have shipped with a processor based on Intel's x86 architecture, of which Intel is the dominant vendor. Yet the past few years have seen a subtle yet remarkable convergence of different industry trends that very well may topple the semiconductor giant. For the past three decades, computers have largely assumed the same shape and form, regardless of their task. Laptops, desktops, and servers have all been based on the same open modular architecture established by IBM. Yet this is not likely to be the case going forward. The past decade has seen the rise of embedded computing, perhaps best epitomized by smartphones and tablet computers. Instead of the standard PC architecture where individual components can be easily exchanged, embedded devices are typically modular designs with highly integrated physical components. Independent functional units, all designed by independent companies, are integrated onto the same piece of silicon to achieve system cost and performance targets. Instead of a standard x86 processor, each device category likely has a chip optimized for its specific application. At the same time that the form of computing is changing, we are witnessing a redistribution of where computing power resides with Cloud Computing and data centers. These have ordinarily been the province of Intel based machines, but data centers have moved from using standard off-the-shelf PCs to custom designed motherboards. Again, we are seeing a shift from the modular personal computer architecture to one that is customized for the task at hand. Another concern for Intel is that the standard metrics by which products compete are in flux. For both embedded systems and data centers, the operational costs and constraints are starting to outweigh the initial outlay costs. An example is the industry shift from overall performance to system power efficiency. Intel has been a relentless driver of processor performance, and this is a significant change of focus for its R&D divisions. Of all Intel's competitors, ARM best represents the magnitude of these challenges for Intel, and is well positioned to take advantage of all these trends. Their business model of licensing their design is well suited for a world with customized architectures, and their extensive experience in low power embedded devices has given them an advantage over Intel in processor power efficiency. Intel is heavily invested in its existing vision of the market. They have always maintained a manufacturing process advantage through tremendous investments in new foundries, and have long championed the open PC modular architecture. Time will ultimately show if Intel is capable of meeting these growing challenges. Yet it is clear that in order to do so, it must make radical changes to itself. One may ask if it is even the same company that emerges.
by Robert Swope Fleming.
S.M.in Engineering and Management
Nylander, Åsa. "Sensorfusion för ACC-System." Thesis, Linköping University, Department of Science and Technology, 2007. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-8341.
Full textGenom att fusionera (sammanföra) data från olika sensorer kan ett resultat uppnås som ger mer än de enskilda sensorerna var för sig. Här utreds vilka sensorer och sensorfusionsmetoder som kan vara aktuella att använda för Scanias adaptiva farthållare (ACC). Den adaptiva farthållaren anpassar det egna fordonets hastighet inte bara till en förinställd hastighet utan även till framförvarande fordons hastighet. Scanias ACC-system använder idag en radar för måldetektering.
Det finns ett antal algoritmer och arkitekturer som passar för sensorfusionssystem beroende på nivån hos sensordatan och användningsområdet. Minstakvadratmetoder kan användas då data ska matchas mot en fysisk modell, ofta med lågnivådata. När tillgänglig data är på den nivån att den används direkt för att fatta beslut kan sannolikhetsmetoder användas. Intelligent fusion består av kognitiva modeller som avser härma den mänskliga beslutsprocessen. Till detta passar data på hög nivå.
Två lösningar, för två olika sensoruppsättningar, har tagits fram. Båda lösningarna är uppbyggda av bayesiska nätverk. Det första nätverket fusionerar data från den befintliga radarenheten med data från en kamera som detekterar vägmarkeringar. Resultaten visar att filbyten kan upptäckas tidigare i och med fusionen. Det andra nätverket använder sig av två radarenheter, den ursprungliga samt en likadan enhet till, vilket resulterar i ett bredare synfält. Nätverket avgör vilka mål hos respektive radar som kan anses vara samma matchade mål. Informationen kan användas för att öka redundansen i systemet samt för att upptäcka mål tidigare än förut.
By fusing data from different sensors a result can be achieved that is worth more than the data from each sensor by itself. Which sensors and sensor fusion methods that could be used in Scania's adaptive cruise control system (ACC) is investigated. The ACC system adapts the vehicle's speed not only to a driver decided set speed but also to the speed of preceding vehicles. Scania's ACC system uses a radar for target detection.
There exists a number of algorithms and architectures fit for use in sensor fusion systems. Which one to use depends on the level of the data to be fused and on the field of application. Least square methods are used when matching data to a physical model, data to be used is often at a low level. When working with data at decision level, probability methods are favored. Another example is intelligent fusion, cognitive methods intending to mimic the human decision process. Suitable data is data at a high level.
Two solutions, for two different sensor sets, are proposed. Both solutions are made out of Bayesian networks. The first one fuses data from the existing radar unit with data from a camera which detects lane markings. The results show that lane changes can be detected earlier thanks to the fusion. The second network uses two radar sensors of the same kind as the first, resulting in a wider field of view. The network decides which ones of each radars targets that are the same matching targets. This information could be used to increase the redundancy of the system and to detect targets earlier.
Bredberg, Linus. "Kortdistansradar för ACC-system." Thesis, Linköping University, Department of Science and Technology, 2008. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-11290.
Full textI denna rapport redogörs för en implementering av fusion mellan kortdistanssensorer. Syftet med denna implementering är att erhålla Stop & Go-funktionalitet till den adaptiva farthållaren som idag finns som tillval i Scanias lastbilar. Adaptiv farthållning, ACC, är en funktion som automatiskt anpassar fordonets hastighet ifall detta kommer ikapp ett annat fordon som färdas långsammare än den inställda hastigheten. Scanias system använder sig idag av en långdistanssensor som ser långt men har smalt synfält. Genom att komplettera denna med kortdistanssensorer, som ser kort men brett, kan önskvärt synfält i närområdet för att säkert kunna implementera Stop & Go-funktionen uppnås. Sensorfusion bygger på principen att två eller fler sensorer som ser samma sak ger en mer korrekt bild av verkligheten än en enskild. Fusionen kan genomföras på många olika sätt. I rapporten beskrivs tre metoder övergripligt; Bayesiska nätverk, auktionsalgoritmen samt Gating. I implementeringen används gatingmetoden.
Initialt implementeras en målspårningsalgoritm med kalmanfilter. Efter uppdatering av sensormjukvaran väljs dock denna bort eftersom sensorernas interna målspårning då anses som tillräcklig. En modell med sensorfusionen och målselekteringen byggs i Simulink och programmeras sedan in i en hårdvaruenhet. Syftet med detta är att kunna utvärdera funktionen i ett prototypfordon. Inledningsvis rapporteras enbart korrelerade mål från modellen. För mer kontinuerlig målföljning, främst i kurvor, implementeras därefter en algoritm som även tar hänsyn till enskilda sensorers observationer. Dessa accpeteras dock först efter en viss valideringstid eftersom denna information har lägre konfidens än korrelerade mål.
Provkörningar visar att målföljningen fungerar väl. En stor svårighet har varit att sålla bort stillastående mål från rörliga, främst i låga farter. Detta eftersom sensorernas hastighetsangivelse har låg precision vilket medför att ett stillastående mål kan rapporteras som ett långsamt rörligt.
In this thesis report an implementation of fusion between short range radars is described. The purpose of this implementation is to obtain Stop & Go functionality for the adaptive cruise control which is offered as an option in today’s Scania trucks. Adaptive cruise control, ACC, is a feature that automatically adapts the vehicle speed if it should catch up to another vehicle moving slower than the desired set speed. For this application Scania today use a long range sensor that has a long but narrow field of view. By complementing this sensor with short range sensors, which have short but wide fields of view, the desired field of view in the short range area can be obtained. This is necessary in order to be able to safely implement the Stop & Go functionality. Sensor fusion is based on the principle that two or more sensors overlooking the same area give a more accurate impression of reality than a single one. The fusion can be conducted in several ways. In the report three different methods are briefly described; Bayesian Networks, the Auction Algorithm and Gating. In the implementation the gating method is applied.
Initially a target tracking algorithm using Kalman filter is implemented. However, after software updates in the short range sensors this algorithm is no longer used. This is because the improved tracking made internally by the sensors is considered to be sufficient, hence making an external tracking algorithm redundant. The sensor fusion and the target selection are implemented in a Simulink model which is later programmed into a hardware unit. The purpose of the latter is to be able to evaluate the functionality in a prototype vehicle. Initially, only associated targets are reported from the model. In order to obtain a more continuous target tracking, mainly while driving in curves, observations made only by single sensors are also considered. However, these measurements have lower level of confidence than the associated targets. Therefore these measurements first have to be validated for a certain period of time before they are approved.
Test runs indicate that the target tracking works as intended. One major difficulty has been to separate stationary targets from slow moving ones, especially in low speeds. This is due to the fact that the sensors’ speed measurements are fairly inaccurate. Therefore a stationary target could be reported as a slow moving one.
Valentin, Vinagrero Israel. "Money flows in the Internet ecosystem : strategic opportunities for telecom operators and other Internet agents in the digital age." Thesis, Massachusetts Institute of Technology, 2014. http://hdl.handle.net/1721.1/90696.
Full text61
Cataloged from PDF version of thesis.
Includes bibliographical references.
The question about where the money goes is something really interesting for all the companies in the Internet ecosystem. While there is a huge interest, no clear answers have been provided, partially because the ecosystem keeps changing. This thesis aims to answer this question by looking at how consumers spend their money in the different parts and services associated to the Internet. Besides looking at the money that consumers spend, this research also looks at the money that is in the ecosystem in things such as online advertising, which has been seen as one of the sources of revenues for many companies. Three countries have been evaluated in this thesis, to show the situation in different parts of the world. US, UK and Spain have been the chosen countries and the comparison of the results gives a very good idea of the situation in Europe and US. A quantitative analysis has been done including six main categories: wireless, wireline voice, wireline video, wireline broadband access, ecommerce and online advertising. The results show big differences in expenditures among three different countries and analyze the potential reasons. Finally, the research also aims to identify new business opportunities for telecomm operators associated to the different categories identified in the quantitative analysis. Given the current status of the Internet ecosystem, most of the business opportunities imply the creation of partnerships with Internet companies, so these recommendations could be also applicable to Internet companies.
by Israel Valentin Vinagrero.
S.M. in Engineering and Management
McBride, Claire. "Sectoral systems of innovation : assessing the effect of firm age and strategic intent on system fit." Thesis, University of Warwick, 2014. http://wrap.warwick.ac.uk/77518/.
Full textIrvin, Jeffery L. "Paradigm and praxis : seventeenth-century mercantilism and the age of liberalism /." Connect to full text in OhioLINK ETD Center, 2008. http://rave.ohiolink.edu/etdc/view?acc_num=toledo1230755671.
Full textWallstedt, Carl, and Erik Norrbelius. "Modell för dimensionering av AGV-system inom tung industri." Thesis, Högskolan i Gävle, Avdelningen för Industriell utveckling, IT och Samhällsbyggnad, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:hig:diva-14902.
Full textBooks on the topic "AGC SYSTEM"
Tom, Shanley, and MindShare Inc, eds. AGP system architecture. Reading, Mass: Addison Wesley, 1999.
Find full textGutzmann, Hans, Siegfried Kanowski, Hannelore Krüger, Roland Urban, and Luc Ciompi. Das AGP-System. Berlin, Heidelberg: Springer Berlin Heidelberg, 1989. http://dx.doi.org/10.1007/978-3-642-70566-3.
Full textGuy, William, and Thomas A. Ban, eds. The AGP System. Berlin, Heidelberg: Springer Berlin Heidelberg, 1985. http://dx.doi.org/10.1007/978-3-642-82514-9.
Full textDzatko, Dave. AGP system architecture. 2nd ed. Reading, Mass: Addison Wesley Longman, 2000.
Find full textThe age reduction system. New York: Rawson Associates, 1986.
Find full textE, Pesando James, and Brown Robert L. 1949-, eds. Canadian benefit system issues. Brookfield, Wis: International Foundation of Employee Benefit Plans, 1987.
Find full textThe space-age solar system. New York: Wiley, 1988.
Find full textNational Information & Referral Support Center (U.S.) and United States. Administration on Aging, eds. Enhancing today's I&R systems to meet tomorrow's challenges: A system improvement planning guide. [Washington, D.C.?]: National Association of State Units on Aging, National Information & Referral Support Center, 1995.
Find full textNational Information & Referral Support Center (U.S.) and United States. Administration on Aging., eds. Enhancing today's I&R systems to meet tomorrow's challenges: A system improvement planning guide. [Washington, D.C.?]: National Association of State Units on Aging, National Information & Referral Support Center, 1995.
Find full textUnited States. National Aeronautics and Space Administration., ed. Arcjet system integration development. [Washington, DC]: National Aeronautics and Space Administration, 1994.
Find full textBook chapters on the topic "AGC SYSTEM"
Shankar, Ravi, Utkarsh Raj, and Anjali Singh. "ISA-Based PI + FODN AGC of Multi-source System." In Lecture Notes in Electrical Engineering, 113–21. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-5546-6_10.
Full textAkshay, Rachakonda Shri Rama, and Rajesh Joseph Abraham. "AGC in a Deregulated Interconnected Power System with STATCOM and Energy Storage System." In Lecture Notes in Electrical Engineering, 277–87. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-9008-2_26.
Full textGanthia, Bibhu Prasad, Anita Pritam, Krishna Rout, Siddhartha Singhsamant, and Jayashree Nayak. "Study of AGC in Two-Area Hydro-thermal Power System." In Advances in Power Systems and Energy Management, 393–401. Singapore: Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-4394-9_39.
Full textGorripotu, Tulasichandra Sekhar, Rabindra Kumar Sahu, and Sidhartha Panda. "Application of Firefly Algorithm for AGC Under Deregulated Power System." In Computational Intelligence in Data Mining - Volume 1, 677–87. New Delhi: Springer India, 2014. http://dx.doi.org/10.1007/978-81-322-2205-7_62.
Full textAyyarao, Tummala S. L. V., L. Venkata Sureshkumar, and D. Vijaya Kumar. "Support Vector Machine-Based Dynamic Cyber-Attack Detection in AGC System." In Lecture Notes in Electrical Engineering, 343–55. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-15-8439-8_28.
Full textHe, Hongliang. "Research and Design of Computer AGC Control System in Hydropower Plant." In Advances in Intelligent Systems and Computing, 838–46. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-00214-5_104.
Full textSaini, Rita, Girish Parmar, Rajeev Gupta, and Afzal Sikander. "SFS/PI Approach for AGC of Two Area Interconnected Thermal Power System." In Lecture Notes in Electrical Engineering, 91–102. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-5089-8_9.
Full textMishra, Dillip K., Tapas Kumar Panigrahi, Asit Mohanty, and Prakash K. Ray. "Integrating Concentrating Solar Plant-Based System in Multi-area AGC Using LabVIEW." In Information and Communication Technology for Competitive Strategies, 675–86. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-0586-3_66.
Full textSaha, Debdeep, Rajesh Panda, and Bipul Kumar Talukdar. "AGC Based Market Modeling of Deregulated Power System Employing Electric Vehicles and Battery Energy Storage System." In Computational Intelligence in Pattern Recognition, 458–68. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-3089-8_44.
Full textGorripotu, Tulasichandra Sekhar, Halini Samalla, Ch Jagan Mohana Rao, Ahmad Taher Azar, and Danilo Pelusi. "TLBO Algorithm Optimized Fractional-Order PID Controller for AGC of Interconnected Power System." In Soft Computing in Data Analytics, 847–55. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-0514-6_80.
Full textConference papers on the topic "AGC SYSTEM"
Guo, Jiaren, Xiting Wang, Ying Xu, Hang Li, and Shiguo Jiang. "Intelligent decoupling in AGC-AFC system based on CMAC model." In 2013 25th Chinese Control and Decision Conference (CCDC). IEEE, 2013. http://dx.doi.org/10.1109/ccdc.2013.6561296.
Full textMahasathyavathi, M., B. Ambika, and N. Kamaraj. "Agc For Multisource Deregulated Power System." In 2018 National Power Engineering Conference (NPEC). IEEE, 2018. http://dx.doi.org/10.1109/npec.2018.8476743.
Full textMiao, Jiangtao, Xiaolan Yao, Jiaxin Zhang, and Siwei Yang. "Application of ADRC in hydraulic AGC system." In 2014 33rd Chinese Control Conference (CCC). IEEE, 2014. http://dx.doi.org/10.1109/chicc.2014.6896021.
Full textCao, Qipeng, Lei Chen, Faqi Yan, Wei Xiong, Chunming Wang, and Yiwei Zhang. "Research on AGC Assessment Criteria’s Adaptability." In 2018 International Conference on Power System Technology (POWERCON). IEEE, 2018. http://dx.doi.org/10.1109/powercon.2018.8601858.
Full textAbraham, Rajesh Joseph, D. Das, and Amit Patra. "AGC of a hydrothermal system with SMES unit." In 2006 IEEE GCC Conference. IEEE, 2006. http://dx.doi.org/10.1109/ieeegcc.2006.5686181.
Full textZhao, Liye, Changjun Li, and Hongbao Li. "Reference Level Optimization for AGC in OFDM System." In 2010 6th International Conference on Wireless Communications, Networking and Mobile Computing (WiCOM). IEEE, 2010. http://dx.doi.org/10.1109/wicom.2010.5600182.
Full textRasolomampionona, D. D. "A modified power system model for AGC analysis." In 2009 IEEE Bucharest PowerTech (POWERTECH). IEEE, 2009. http://dx.doi.org/10.1109/ptc.2009.5281946.
Full textDar, S. Zahid Nabi, and Shailendra Baraniya. "Application of Ultrabattery to AGC of Power System." In 2021 2nd International Conference for Emerging Technology (INCET). IEEE, 2021. http://dx.doi.org/10.1109/incet51464.2021.9456306.
Full textWu Wen-Bo, Jia Yu-Fu, and Gao Chuang. "A novel single-neuron smith-predictive AGC system." In 2010 International Conference on Computer Application and System Modeling (ICCASM 2010). IEEE, 2010. http://dx.doi.org/10.1109/iccasm.2010.5622699.
Full textXiang, Xingyu, Zhonghai Wang, Dan Shen, Genshe Chen, and Khanh Pham. "A Smart Hybrid AGC Scheme for Satellite System." In 2020 IEEE Aerospace Conference. IEEE, 2020. http://dx.doi.org/10.1109/aero47225.2020.9172548.
Full textReports on the topic "AGC SYSTEM"
Wang, Wenbo, Xin Fang, Hantao Cui, Jinning Wang, Fangxing Li, Yijing Liu, Thomas Overbye, Mengmeng Cai, and Chris Irwin. Cyber-Physical Dynamic System (CPDS) Modeling for Frequency Regulation and AGC Services of Distributed Energy Resources. Office of Scientific and Technical Information (OSTI), August 2022. http://dx.doi.org/10.2172/1882191.
Full textRoss, James H. Automated Arc Welding System. Fort Belvoir, VA: Defense Technical Information Center, March 1991. http://dx.doi.org/10.21236/ada232890.
Full textCiardullo D. J. and J. Brennan. THE AGS BPM SYSTEM UPGRADE. Office of Scientific and Technical Information (OSTI), January 1995. http://dx.doi.org/10.2172/1151318.
Full textKern, G. System and Battery Charge Control for PV-Powered AC Lighting Systems. Office of Scientific and Technical Information (OSTI), April 1999. http://dx.doi.org/10.2172/5939.
Full textGrauer and Chapman. L52330 Development of an Active Air Control System. Chantilly, Virginia: Pipeline Research Council International, Inc. (PRCI), March 2012. http://dx.doi.org/10.55274/r0010447.
Full textHseuh H. C., A. Feltman, W. Zhang, and J. Gabusi. The AGS Cold Cathode Gauge System. Office of Scientific and Technical Information (OSTI), July 1987. http://dx.doi.org/10.2172/1151191.
Full textLawson and Thompson. L52100 Hot-Spot Protection for Impressed Current Systems. Chantilly, Virginia: Pipeline Research Council International, Inc. (PRCI), September 2003. http://dx.doi.org/10.55274/r0010153.
Full textBaader, Franz, and Marcel Lippmann. Runtime Verification Using a Temporal Description Logic Revisited. Technische Universität Dresden, 2014. http://dx.doi.org/10.25368/2022.203.
Full textSyphers, M. J., L. Ahrens, W. van Asselt, and J. M. Brennan. The AGS {gamma}{sub t}-jump system. Office of Scientific and Technical Information (OSTI), September 1994. http://dx.doi.org/10.2172/10194866.
Full textWelch, K., H. Hseuh, and J. Tuozzolo. SOME COMMENTS ON THE AGS VACUUM SYSTEM. Office of Scientific and Technical Information (OSTI), October 1987. http://dx.doi.org/10.2172/1151199.
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