Major construction work is currently underway at Intel''s Aloha, Oregon, campus. Because of concerns about the effects that construction-generated vibration might have on adjacent ongoing microelectronics manu...
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ISBN:
(纸本)0819407577
Major construction work is currently underway at Intel''s Aloha, Oregon, campus. Because of concerns about the effects that construction-generated vibration might have on adjacent ongoing microelectronics manufacturing activities, two important steps were taken. The first of these was to establish guidelines that would be followed by the construction contractor to limit vibration disturbance. The second was to install a computer-based monitoring system that would continuously measure the vibration on the floor of the microelectronics manufacturing facility. In this way, the vibration effects of the construction activities would be monitored and adjusted, by modifying procedures, if necessary. The monitoring program is discussed in this paper. The major characteristics of the monitoring system, the placement of the transducers, and the ways in which the data were managed are described. Some typical data are shown and discussed.
The Gulf of Suez Petroleum Company (GUPCO), which has been overseeing mature offshore oil fields in Egypt since the late 1960s, seeks to harness advanced artificial intelligence (AI) technologies to optimize the manag...
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ISBN:
(纸本)9781959025733
The Gulf of Suez Petroleum Company (GUPCO), which has been overseeing mature offshore oil fields in Egypt since the late 1960s, seeks to harness advanced artificial intelligence (AI) technologies to optimize the management of its extensive field data. This initiative is centered on leveraging AI to maximize the value derived from GUPCO's substantial dataset, amassed through the drilling and operation of hundreds of producing and injecting wells, with particular emphasis on the company's two largest fields. Despite the inherent challenges and data gaps characteristic of brownfields, this dataset constitutes an invaluable yet underutilized asset, rich with potential insights. The primary objective of this project is the development of an AI-driven model designed to recommend optimal off-take strategies, identify opportunities for drilling and well interventions, and establish a scalable prototype applicable across GUPCO's broader field portfolio. Furthermore, this initiative seeks to cultivate organizational expertise in AI applications for oilfield operations. The model is founded upon a purely data-driven methodology, relying exclusively on empirically measured field variables, thereby obviating the necessity for interpretative assumptions. This extensive dataset, spanning five decades, undergoes rigorous processing through advanced fuzzy pattern recognition techniques to extract key parameters. A highly integrated system of artificial neural networks (ANNs) is employed to train, calibrate, and validate the model. To ensure robust predictive capabilities, recent data is reserved for blind validation, enabling the AI model to discern and learn concealed field patterns. Once history-matched, the model is subsequently deployed across various scenarios to forecast production, conduct sensitivity analyses, and identify optimal locations for new drilling activities. The model continuously evolves as new data is assimilated, ensuring its adaptability and reliability over t
Voltage Unbalance and voltage rise are power quality concerns for low voltage residential distribution networks due to the random location and rating of single-phase rooftop photovoltaic cells. In this paper, applicat...
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ISBN:
(纸本)9781612849720
Voltage Unbalance and voltage rise are power quality concerns for low voltage residential distribution networks due to the random location and rating of single-phase rooftop photovoltaic cells. In this paper, application of series (DVR) and parallel (DSTATCOM) custom power devices are investigated to mitigate these problems. Load flow analysis is first carried out to investigate the effects of rooftop PVs on network voltage profile. Then the effectiveness, locations and ratings of these two custom power devices are compared for urban and semi-urban networks through load flow analysis. Finally the efficacy and applicability of these devices are verified through PSCAD/EMTDC simulations.
In the large-scale high energy physics and astrophysics experiments multi-channel readout application specific integrated circuits (ASICs) are widely used. The ASICs for such experiments are complicated systems, which...
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In the large-scale high energy physics and astrophysics experiments multi-channel readout application specific integrated circuits (ASICs) are widely used. The ASICs for such experiments are complicated systems, which usually include both analog and digital building blocks. The complexity and large number of channels in such ASICs require the proper methodological approach to their design. The paper represents the mixed-signal design flow of the ASICs for high energy physics and cosmic rays experiments. This flow was successfully embedded to the development of the read-out ASIC prototype for the muon chambers of the CBM experiment. The approach was approved in UMC CMOS MMRF 180 nm process. The design flow enable to analyse the mixed-signal system operation on the different levels: functional, behavioural, schematic and post layout including parasitic elements. The proposed design flow allows reducing the simulation period and eliminating the functionality mismatches on the very early stage of the design.
The Environment For Application Software Integration and Execution (EASIE) is a methodology and a set of software utility programs developed at the NASA Langley Research Center for coordinating the use of the engineer...
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ISBN:
(纸本)9780791809341
The Environment For Application Software Integration and Execution (EASIE) is a methodology and a set of software utility programs developed at the NASA Langley Research Center for coordinating the use of the engineering design and analysis computer programs. Under user direction, EASIE controls the execution of independently developed programs and manages the flow of data to and from a common relational data base in order to accomplish design or analysis objectives. The process is highly automated. For example, a utility program generates a data dictionary, describing the contents of the data base and the various subsets of data used by the application programs. Other utilities automatically generate FORTRAN or C subroutines to link the application programs with the database or to pre- and post- process the data. EASIE is also 'user friendly,' providing 'windows' into the data base to view subsets of the data and the means to modify the data at any time. A key feature is the degree of independence it provides to the programmer and user from the details of the operating system and Data Base Management System. EASIE has been used successfully in the integration of several design systems at Langley and within the aerospace industry. This paper discusses the application of EASIE to these specific systems, emphasizing the advantages it has provided to both programmers and users. Significant improvements made as a result of these experiences will also be discussed.
The worldwide prevalence of skin cancer, particularly malignant melanoma, has greatly increased. As a consequence, optimal disease management for early diagnosis and intervention is required for improved patient progn...
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