Miracle-dz/UniFAR-FTUs huggingface dataset:
MICROWAVE FILTERS

Filters are two-port networks used to control the frequency response in a system by permitting good transmission of wanted signal frequencies while rejecting unwanted frequencies. Generally there are four types of filters: low-pass, high-pass, band-pass, and band-stop. Microwave filter design has been a persistent and productive field for investigation from the very beginning of microwave engineering. Nowadays, high performance filters are needed in many microwave systems. Because of the importance of microwave filters, a great deal of material on the theory and design of filters is widely available in the literature. The purpose of this chapter is to introduce the basic theory of microwave filters, to describe how to design practical microwave filters, and to investigate ways of implementing high performance filters for modern communication systems.
Digital image processing : techniques and applications in civil engineering : proceedings of a conference, Keauhou Beach Hotel, Kona, Hawaii, February 28-March 5, 1993

This proceedings, Digital Image Processing: Techniques and Applications in Civil Engineering, consists of the invited and submitted papers for the Engineering Foundation - National Science Foundation sponsored conference which was held at the Keauhou Beach Hotel, Kona, Hawaii from February 28-March 5, 1993. The conference format was configured around 4 tracks: digitizing and digital information management; morphologic operations and analysis; image interpretation and recognition; and applications. While image processing and analysis methods have been used extensively in other disciplines for some time, it is only in the past few years that the potential impact in civil engineering has been recognized. A range of topics including engineering document scanning, pavement distress assessment, site evaluation using satellite imagery, studies of crack propagation and microstructure in cement based materials, and evaluations of soil fabric are all benefiting from capabilities afforded by this technology. Summaries prepared by the track chairmen are included in the proceedings. This document provides the civil engineer with a comprehensive and up-to-date perspective for the use of digital image processing and analysis techniques in solving civil engineering problems.
Linear programming and optimizing lumber quality composition in secondary hardwood dimension mills

Abstract Linear programming has been widely applied in the secondary hardwood dimension manufacturing industries to solve the least-cost lumber grade mix problem, which refers to the search for minimal raw material costs. Most existing models are based on the assumption of a simple linear relationship between lumber grade mix and yield. However, this crucial assumption has never been verified. In this study, the results from a five-factor mixture design statistically proved that none of the cutting bills tested has a simple linear relationship between yield and different lumber grade mixes. It was observed that cutting bill characteristics and lumber quality affect the relationship between yield and lumber grades. Cutting bills that require wider and/or longer parts tend to behave non-linearly. In addition, the more dissimilar lumber grade qualities that are processed, the more likely is the occurrence of a non-linear response. The inability to predict the relationship between yield and lumber grades, coupled with the high percentage of non-simple linear relationships observed in this study, brings into question the validity of the linearity assumption applied in previous linear programming models. Further efforts are needed to construct a new least-cost lumber grade mix model that does not rely on the assumption of a simple linear relationship between lumber grade mix and yield.
Research of Eco-Compensation among Basin Cascade Hydropower Station Development and Management

Eco-compensation was involved in many subject area, and the concept and connotation of Eco-compensation were discussed from the multi-disciplinary perspective by the scholars of different research areas. Hydropower, as one kind of green energy,is an important component of the China's energy development. Owing to the delay of the cumulative effect on ecological environment caused by hydropower development, the unbalanced distribution of interests between the cascade hydropower stations, and the mass of industry and departments involved in cascade hydropower development, Eco-compensation system of the cascade hydropower development is becoming more complicated.For this reason, it is significant to analyze the environmental impact during cascade hydropower development, and to establish a full Eco-compensation mechanism for the cascade hydropower development. In this paper, the basic framework of the Eco-compensation system includes five parts: the subject, the object of compensation, compensation standards and methods of determining compensation, forms of compensation, process control of compensation, then the content of these five aspects was detailed. On this basis , the problems which should be solved urgently in the cascade development of Eco-compensation mechanisms have been advised,these discussion and analysis will provide some reference for the further research and practice．
Modulation of Motor Cortical Activities by Action Observation and Execution in Patients with Stroke: An MEG Study

Action observation therapy has recently attracted increasing attention; however, the mechanisms through which action observation and execution (AOE) modulate neural activity in stroke patients remain unclear. This study was aimed at investigating the effects of action observation and two types of AOE on motor cortical activations after stroke using magnetoencephalography. Twenty patients with stroke and 20 healthy controls were recruited for the collection of data on the beta oscillatory activity in the primary motor cortex (M1). All participants performed the conditions of resting, observation only, and video observation combined with execution (video AOE). Stroke patients performed one additional condition of affected hand observation combined with execution (affected hand AOE). The relative change index of beta oscillations was calculated, and nonparametric tests were used to examine the differences in conditions. In stroke patients, the relative change index of M1 beta oscillatory activity under the video AOE condition was significantly lower than that under the observation only and affected hand AOE conditions. Moreover, M1 cortical activity did not significantly differ under the observation only and affected hand AOE conditions. For healthy controls, the relative change index under the video AOE condition was significantly lower than that under the observation only condition. In addition, no significant differences in relative change indices were found under the observation only and video AOE conditions between the 2 groups. This study provides new insight into the neural mechanisms underlying AOE, which supports the use of observing videos of normal movements during action observation therapy in stroke rehabilitation.
Short‐term water demand forecast modeling techniques—CONVENTIONAL METHODS VERSUS AI

A variety of forecast modeling techniques, from conventional techniques such as regression and time series analyses to relatively new artificial intelligence (AI) techniques such as expert systems and artificial neural networks (ANNs), were investigated for use in short‐term water demand forecasting. Daily water demand, daily maximum air temperature, and daily total rainfall data from Lexington, Ky. , for 1982–92 were used to develop and test several forecast models. The performance of each model was evaluated using two standard statistical parameters. On the basis of the measured statistical parameters, the AI models outperformed the conventional models. Both expert system and ANN technologies should be further explored by water utility engineers and managers because these techniques have the potential to enhance the operational performance of various water supply and delivery systems.
Workflow Modeling: Tools for Process Improvement and Application Development

From the Publisher: If you're looking to create new workflow systems or redesign existing business processes for your enterprise, look no further than this concise, new hands-on book. Providing proven techniques for identifying, modeling, and redesigning business processes, and explaining how to implement workflow improvement, this book helps you define requirements for systems development or systems acquisition. By showing you how to build visual models for illustrating workflow, the authors help you to assess your current business processes and see where process improvement and systems development can take place. This book brings the two distinct disciplines of management and information technology together especially for high-tech professionals who need to improve the way work gets done to maintain a competitive edge. Addressing such hot topics as enterprise resource planning (ERP) applications and enterprise application integration (EAI), you learn how to manage these complex, new schemes not as technology-based changes, but as the process redesign projects they truly are. Plus, understanding process workflow modeling allows you to get a better handle on implementing a complete business process for successful e-commerce initiatives. Filled with real-world examples and practical techniques, you get a seamless methodology for process redesign and information systems development that integrates use-case analysis and process workflow modeling to easily span the gap between management and IT. What's more, the visual modeling you learn from this book shows you not only how to improve your enterprise, but where trouble spots might occur and how to avoid common pitfalls. What'smore, because the book is structured as an on-the-job guide, you don't have to read it all before getting started. It features clear summaries, project checklists, and other aids that make it a logical guide to keep on your reference shelf and put to use every day.
Closed-form Development Of A Family Of Higher Order Tetrahedral Elements Through The Fourth Order

CLOSED-FORM DEVELOPMENT OF A FAMILY OF HIGHER ORDER TETRAHEDRAL ELEMENTS THROUGH THE FOURTH ORDER Sara Elizabeth McCaslin, PhD. The University of Texas at Arlington, 2008 Supervising Professor: Kent Lawrence This research is concerned with the development and implementation of a family of tetrahedral elements through the fourth order. The straight-sided tetrahedral elements are developed in closed-form. This work investigates the efficiency of closedform implementation of stiffness matrices and error estimators compared to numerical implementation. An additional objective is the compaction of closed-form source-code files which require as little storage space as possible, a more pronounced requirement at high p-levels. For the straight-sided elements through p-level 4, the stiffness matrix, equivalent nodal load vectors, and error estimators (based on nodal averaging) are developed using closed-form equations obtained through the use of a computer algebra iv system. The stiffness matrix and error estimators are also implemented using numerical integration so that a timing comparison between the numerical and the closed-form approaches could be performed. The curved-sided elements, including the stiffness matrix, equivalent nodal load vectors, and error estimators are also implemented using Gaussian quadrature only. A test conducted on a model of all curved-sided elements is used to verify that the elements are working correctly. Results indicate that the closed-form implementation solutions are comparable to the numerical solutions. For all p-levels the closed-form stiffness matrix is more efficient by a factor of at least 4 when compared with numerically integrated elements.
Probabilistic Performance Assessment of Retrofitted Skewed Multi Span Continuous Concrete I-girder Bridges

The unique dynamic response of skewed bridges causes them to experience more noticeable damage compared to straight bridges during seismic events. The effectiveness of different retrofit strategies on the fragility of skewed bridges can change with the skew angle. This article assesses the impact of skew angle and various retrofit strategies on the fragility of multi span continuous concrete I-girder bridges. The results indicate that the level of effectiveness of a retrofit strategy is highly dependent on the skew angle and damage state of interest and an appropriate retrofit strategy should be chosen based on the vulnerability of the components.
Summary of the SRS Severe Accident Analysis Program, 1987--1992

The Severe Accident Analysis Program (SAAP) is a program of experimental and analytical studies aimed at characterizing severe accidents that might occur in the Savannah River Site Production Reactors. The goals of the Severe Accident Analysis Program are: To develop an understanding of severe accidents in SRS reactors that is adequate to support safety documentation for these reactors, including the Safety Analysis Report (SAR), the Probabilistic Risk Assessment (PRA), and other studies evaluating the safety of reactor operation; To provide tools and bases for the evaluation of existing or proposed safety related equipment in the SRS reactors; To provide bases for the development of accident management procedures for the SRS reactors; To develop and maintain on the site a sufficient body of knowledge, including documents, computer codes, and cognizant engineers and scientists, that can be used to authoritatively resolve questions or issues related to reactor accidents. The Severe Accident Analysis Program was instituted in 1987 and has already produced a substantial amount of information, and specialized calculational tools. Products of the Severe Accident Analysis Program (listed in Section 9 of this report) have been used in the development of the Safety Analysis Report (SAR) and the Probabilistic Risk Assessment (PRA),more » and in the development of technical specifications for the SRS reactors. A staff of about seven people is currently involved directly in the program and in providing input on severe accidents to other SRS activities. « less
A Novel Multi-Objective Evolutionary Algorithm for Portfolio Selection

Portfolio selection is a problem arising in finance and economics. While its basic formulations can be efficiently solved using linear or quadratic programming, its more practical variants have to be tackled by heuristics in many cases. In this work, both portfolio return and risk factors need to be considered, so it is abstracted as a multi-objective 0/1 knapsack problem and solved by a novel multi-objective evolutionary algorithm based on SPEA2. Experimental results show that the multi-objective optimization to solve the portfolio problem can better reveal the relationship between benefits and risks, to provide investors with a better basis for decision making.
Simulation of people＇s evacuation in tunnel fire

模拟模型 Tunev (隧道撤退) 在隧道火为 people'sevacuation 被开发。 它包含人们的行为的反应的简单数据库和隧道 fire-proofing 的结构特征参数。 模型能被用来推测开火的在各种各样的场面的全部的撤退时间发生在隧道的不同地点。 把软商品 CFD 与火模拟相结合 - POENICS3.5， Tunev 模型能被用来危险来计算火时间；由与这些二种时间作比较，估计撤退，和撤退过程的安全能被用来也有动态演示。 Tunev 模型能被用来在隧道为人预言安全撤退的可靠性的模拟结果表演为人的安全逃跑计划发射并且提供参考书。 模型的一些相关概念被描述并且一个典型隧道盒子的撤退模拟，我。 e。 XuefengMountain 隧道被使用这个模型执行。 并且模型的确认和实际申请也被描述。
Enhanced CORDIC Based Rotator Design for Sinusoidal Transforms

Transforms play an important role in conversion of information from one domain to the other. To be more specific transforms like Discrete Fourier transform (DFT) and Discrete Cosine transform (DCT) helps us to migrate from one time domain to frequency domain based on the basis function selected. The basis function of the every sinusoidal transform carries out a circular rotation to convert information from one domain to the other. There are applications related to communication which requires this rotation into the hyperbolic trajectory as well. Multiplierless algorithm like CORDIC improves the latency of the transforms by eliminating the number of multipliers in the basis function. In this paper we have designed and implemented enhanced version of CORDIC based Rotator design. The Enhanced version is simulated for order 1 to order 36 to emphasize on the results of the proposed algorithm. Results shows that the enhanced CORDIC rotator design surpasses the Mean square error after the order 18 compared to standard CORDIC. Unified CORDIC also can be implemented using the said algorithm to implement different three trajectories.
Transmit Signal Design for MIMO Radar and Massive MIMO Channel Estimation

Duly, Andrew Jason Ph.D., Purdue University, December 2013. Transmit Signal Design for MIMO Radar and Massive MIMO Channel Estimation. Major Professors: David J. Love and James V. Krogmeier. The widespread availability of antenna arrays and the capability to independently control signal emissions from each antenna make transmit signal design increasingly important for radar and wireless communication systems. In the first part of this work, we develop the framework for a MIMO radar transmit scheme which trades off waveform diversity for beampattern directivity. Time-division beamforming consists of a linear precoder that provides direct control of the transmit beampattern and is able to form multiple transmit beams in a single pulse. The MIMO receive ambiguity function, which incorporates the receiver structure, reveals a space and delay-Doppler separability that emphasizes the importance of the transmit-receive beampattern and single-input single-output (SISO) ambiguity function. The second part of this work focuses on channel estimation for massive MIMO systems. As the size of arrays increase, conventional channel estimation techniques no longer remain practical. In current systems, training sequences probe wireless channels in orthogonal directions to obtain channel state information for block fading channels. The training overhead becomes significant as the number of transmit antennas increases, thereby creating a need for alternative channel estimation techniques. In this work, we relax the orthogonal restriction on the sounding vectors and introduce a feedback channel to enable closed-loop sounding vector design. A probability of misalignment framework is introduced, which provides a measure to sequentially design sounding vectors.
A Novel Method for Conflict Data Fusion Using an Improved Belief Divergence Measure in Dempster–Shafer Evidence Theory

Dempster–Shafer (D-S) evidence theory plays an important role in multisource data fusion. Due to the nature of the Dempster combination rule, there can be counterintuitive results when fusing highly conflicting evidence data. To date, conflict management in D-S evidence theory is still an open issue. Inspired by evidence modification considering internal indeterminacy and external support, a novel method for conflict data fusion is proposed based on an improved belief divergence, evidence distance, and belief entropy. First, an improved belief divergence measure is defined to characterize the discrepancy and conflict between bodies of evidence (BOEs). Second, evidence credibility is generated to describe the external support based on the complementary advantages of the improved belief divergence and evidence distance. Third, belief entropy is utilized to quantify the internal indeterminacy and further determine evidence weight. Lastly, the classical Dempster combination rule is applied to fuse the BOEs modified by their credibility degrees and weights. As the results of numerical examples and an application show, the proposed divergence measure can overcome the invalidity of the existing measures in some special cases. Additionally, the proposed fusion method recognizes the correct target with the highest belief value of 98.96%, which outperforms other related methods in conflict management. The proposed fusion method also displays better convergence, validity, and robustness.
Statystyczna analiza zmienności obciążeń w sieciach rozdzielczych

This paper presents application statistical analysis to the electrical load modeling clustering of load profiles in different part of system was used to classify the substations. Simulation studies have been performed to demonstrate the efficiency of the proposed scheme and an effect of different parameters on its accuracy on the basis of actual data obtained at distribution system substations. To verify the proposed method of load estimation the measurements of daily energy consumption and daily load at selected distribution substations in Bialystok Power Distribution Utility Co. were made in 365 days. Simulation studies have been performed to demonstrate the efficiency of the proposed scheme and an effect of different parameters on its accuracy on the basis of actual data obtained at distribution system substations.
Probabilistic on-line transportation problems with carrying-capacity constraints

This thesis presents new insights and techniques for the analysis and design of autonomous or technology-assisted ("intelligent") transportation systems. The focus is on cooperative, on-line planning and control, of a fleet of transport vehicles with limited carrying capacity, where new transportation demands enter the system in real time. The study extends an existing probabilistic framework which has provided numerous insights about vehicle scheduling and routing problems since its inception. Additionally, the thesis provides algorithms and new probabilistic cost bounds, for optimal bipartite matchings between large sets of random points and optimal stacker crane tours through large sets of random demands. A recurrent theme of the thesis is that capacity-constrained vehicles must drive passenger-less, inescapably, for some positive fraction of time (in almost any practical setting). Moreover, under probabilistic modelling for the uncertainty of demand, one can predict the aforementioned fraction precisely, using strong Laws of Large Numbers arguments; it relates to a quantity known as the Earth Mover's distance (EMD), described by a fundamental problem in transportation theory. Since the existence of an unavoidable extra cost term has significant implications, e.g., for operational budgets of shared-vehicle systems, the results illuminate a phenomenon whose neglect could prove an unfortunate oversight. To the author's knowledge, this connection of the EMD to on-line vehicle routing is novel. The thesis also provides a new study of the practical considerations imposed by the "street rules" ubiquitous among ground-based transport problems. A new efficient algorithm for the Bipartite Matching problem for points on a roadinap is given. Also given is a new explicit formulation of the EMD on road networks; very few explicit formulas for EMDs have been known previously. Thesis Supervisor: Emilio Frazzoli Title: Professor of Aeronautics and Astronautics, MIT