Miracle-dz/UniFAR-FTUs huggingface dataset:
Distributed hierarchical control design of coupled heterogeneous linear systems under switching networks

In this paper, the distributed hierarchical control design is investigated for cooperations of heterogeneous linear systems subjected to the switching networks, where each subgraph of switching networks is allowed to be disconnected. Each heterogeneous system contains uncontrollable states and evolves in different dimension with different dynamics. The hierarchical control framework proposed in this paper consists of distributed hierarchical controllers, which contain the upper‐layers dealing with the communication topologies and the lower‐layers dealing with the heterogeneity of the systems. Under the framework, the cooperation problem of heterogeneous linear systems is decoupled into a cooperation problem of homogeneous virtual systems in the upper‐layer and tracking problems of each single systems in the lower‐layer. These two layers are designed based on the optimal control method and the output regulation method, respectively. Under the hierarchical control framework, the leader‐following consensus of heterogeneous linear systems is achieved and the result is extended to the formation control problem. Finally, numerical examples are provided to demonstrate the effectiveness of the theoretical results. Copyright © 2016 John Wiley & Sons, Ltd.
Research and Application of Stateflow Modeling Method Based on Petri Nets

Through the control system design of conveyor robot production line,Sateflow modeling method based on Petri nets is put forward.Firstly,the system control functions are analyzed by means of Petri nets,parallel conflicts exist in the system operation sequence,then the conflicts are coordinated by the mathematical modeling method of Petri net,the security and no dead lock of the model are verified.Secondly,Petri nets model is converted into Sateflow model by means of the corresponding transformation between elements.Finally,Simulink model is constructed to simulate and analyze the control system which verifies the control logic of conveying robot production line is no dead lock,and the transition between control logic states is effective.
Bayesian Mind: Making Sense Of Probability-Based Decision Making Strategies

Bayesian probability problems are notoriously difficult for people to solve accurately. Base rate neglect refers to the hypothesis that people ignore base rate information in preference for individuating information when making these probability judgments (Kahneman & Tversky, 1973). Correct answers to base rate neglect problems often require complex Bayesian calculations involving probability information embedded within realistic event descriptions. The past research emphasis on base rate neglect responses for such problems has overlooked the fact that responses can actually vary widely across participants and within participants from one problem to the next. The verbal protocol analyses of participants’ decision making processes found in the current study revealed that participants use a variety of cognitive strategies to solve such problems. The between-participant and within-participant variability can result from simple miscalculations to difficulties with translating probability statements into numerical calculations. This translation process can be further complicated by idiosyncratic subjective interpretations of the event descriptions and a basic misunderstanding of objective probability information. The results of the current study highlight that improving an individual’s Bayesian reasoning requires the instructional procedure to be tailored to their sources of difficulties, and that individual protocol analyses could help define these instructional procedures.
Algorithms for finding maximum and selecting median on a processor array with separable global buses

A problem has been considered in which the maximum among N data should be determined by providing a global bus in a processor array. As a solution to this problem, various kinds of global bus configurations have been proposed from the viewpoint of improving the computation time. This paper considers the processor array with global buses, which includes several switching units and can be separated by the switching control from the processors. Parallel algorithms are constructed which can solve efficiently the semigroup computation such as maximum determination and the median selection problems. The computational complexity of the proposed algorithm is evaluated to indicate that the proposed method has an asymptotically desirable property. Furthermore, to verify that the separable global buses can be embedded efficiently in a VLSI chip, the area-time complexity is evaluated as a performance measure for the VLSI circuit. Comparing the result with the case of the processor arrays with the traditional global bus configuration, the proposed algorithms are shown to be more VLSI-oriented.
A Solution to the Ecological Inference Problem: Reconstructing Individual Behavior from Aggregate Data

List of Figures 1 Qualitative Overview 2 Formal Statement of the Problem Pt. II Catalog of Problems to Fix 3 Aggregation Problems 4 Non-Aggregation Problems Pt. III The Proposed Solution 5 The Data: Generalizing the Method of Bounds 6 The Model 7 Preliminary Estimation 8 Calculating Quantities of Interest 9 Model Extensions Pt. IV Verification 10 A Typical Application Described in Detail: Voter Registration by Race 11 Robustness to Aggregation Bias: Poverty Status by Sex 12 Estimation without Information: Black Registration in Kentucky 13 Classic Ecological Inferences Pt. V Generalizations and Concluding Suggestions 14 Non-Ecological Aggregation Problems 15 Ecological Inference in Larger Tables 16 A Concluding Checklist App. A Proof That All Discrepancies Are Equivalent App. B Parameter Bounds App. C Conditional Posterior Distribution App. D The Likelihood Function App. E The Details of Nonparametric Estimation App. F Computational Issues Glossary of Symbols References Index
Urban Feature Classification Technique from RGB Data using Sequential Methods

- This research produces a fully feature classification technique from RGB image. The proposed classification technique makes a combination from different segmentation methods to classify all features in urban areas. RGB color channels are used to produce two color invariant images. The first one is produced using blue and green color channels for vegetation areas identification. The color invariant image is segmented into two clusters; one of them represents vegetation areas. The second color invariant image is produced using all RGB color channels. Otsu segmentation technique is applied to detect shadows areas as one of the resulting clusters. However, color space is not suitable for detecting roads and buildings. Consequently, it is transformed into two other color spaces. Luminance color channel is extracted from first color space, and hue and saturation color channels are extracted from the other one. This is followed by global color thresholding technique on these color channels individually and together to detect roads, sandy or unhealthy vegetation areas. The remaining features of the original RGB image of urban area of study are classified as buildings. The investigated technique is automated and suitable for all urban areas from high resolution RGB images captured by digital cameras or satellite imaging sensors. This technique is performed exceptionally when there are high distinguishable texture properties for different features. It will be shown that, in case of existing texture similarity properties of different features, it is recommended to use additional information such as spatial data to be able to classify them efficiently.
Multiple‐taper spectral analysis of terrestrial free oscillations: part I

We present a new method for estimating the frequencies of the Earth's free oscillations. This method is an extension of the techniques of Thomson (1982) for finding the harmonic components of a time series. Optimal tapers for reducing the spectral leakage of decaying sinusoids immersed in white noise are derived. Multiplying the data by the best K tapers creates K time series. A decaying sinusoid model is fit to the K time series by a least squares procedure. A statistical F-test is performed to test the fit of the decaying sinusoid model, and thus determine the probability that there are coherent oscillations in the data. The F-test is performed at a number of chosen frequencies, producing a measure of the certainty that there is a decaying sinusoid at each frequency. We compare this method with the conventional technique employing a discrete Fourier transform of a cosine-tapered time-series. The multiple-taper method is found to be a more sensitive detector of decaying sinusoids in a time series contaminated by white noise.
Statistical Model Validation for Reliable Design of Engineering Products

ix Chapter 1: Introduction . 1 1.1 Background and Motivation . 1 1.2 Research Thrusts and Contributions . 3 Chapter 2: Literature Survey . 6 2.1 Model Verification and Validation History . 6 2.2 Deterministic Model Validation . 7 2.3 Statistical Model Validation . 10 2.4 Model bias characterization . 14 2.5 Limitations of the State-of-the-Art . 16 Chapter 3: Copula-based Model Bias Characterization . 18 3.
Extending Morris method: identification of the interaction graph using cycle-equitable designs

The paper presents designs that allow detection of mixed effects when performing preliminary screening of the inputs of a scalar function of d input factors, in the spirit of Morris' Elementary Effects approach. We introduce the class of -cycle equitable designs as those that enable computation of exactly c second-order effects on all possible pairs of input factors. Using these designs, we propose a fast Mixed Effects screening method, that enables efficient identification of the interaction graph of the input variables. Design definition is formally supported on the establishment of an isometry between sub-graphs of the unit cube equipped of the Manhattan metric, and a set of polynomials in on which a convenient inner product is defined. In the paper we present systems of equations that recursively define these -cycle equitable designs for generic values of , from which direct algorithmic implementations are derived. Application cases are presented, illustrating the application of the proposed designs to the estimation of the interaction graph of specific functions.
Exact Cellular Decomposition of Closed Orientable Surfaces Embedded in R3.

We address the task of coverin,q a closed orientable surface embedded in iR3 without any prior information about the surface. For applications such as paint depo­ sition, the effector (the paint atomizer) does not explic­ itly cover the target surface, but instead covers an off­ set surface - a surface that is a fixed dis tance away from the target surface. Just as Canny and others use critical points to look for changes in connectivity of the free space to ensure completeness of their roadmap al­ gor'ithms, we use critical points to identify changes in the conne ctivity of the offset surface to ensure full sur­ face coverage. The main contribution of this work is a method to construct unknow n offset surfaces using a procedure, also developed in this paper, to detect critical points.
Windows Security:The gradual improvement of SEH mechanism

SEH(Structured Exception Handling) , a mechanism which is provided by Windows operating system to handle errors or exceptions. However, because of the limitations in SEH 's design, the attacker can make use of SEH exception handling chain to sucessfully attack the system when there is a buffer overflow bug. Therefore, changes of SEH implementation mechanism were made in accordance with different versions of Microsoft Windows operating system. As a result, two improved mechanisms-SafeSEH and SEHOP appeared. Nevertheless, different degrees of defects still exist in these improved mechanisms. This paper provides a profound research on the implementation of and security defects in different versions of the SEH mechanisms through technologies afforded by Microsoft, such as GS, ASLR. Also provided are some improvement advices of the corresponding security defects.
A Wavelet-based Approach to Electrocardiogram (ECG) and Phonocardiogram (PCG) Subject Recognition

A Wavelet-based Approach to Electrocardiogram (ECG) and Phonocardiogram (PCG) Subject Recognition Seyedeh Zahra Fatemian Master of Applied Science Graduate Department of Electrical and Computer Engineering University of Toronto 2009 This thesis studies the applicability of two cardiac traits, the electrocardiogram (ECG) and the phonocardiogram (PCG), as biometrics. There is strong evidence that cardiac electrical activity (ECG) embeds highly distinctive characteristics, suitable for applications such as the recognition of human subjects. On the other hand, having the same origin with the ECG signal, it is believed that the PCG signal conveys distinctive information of an individual which can be deployed in biometric applications. Such recognition systems traditionally provide two modes of functionality, identification and authentication; frameworks for subject recognition are herein proposed and analyzed in both scenarios. Moreover, the expression of the cardiac signals is subject to alternation with heart rate and noise components. Thus, the central consideration of this thesis is the design and evaluation of robust recognition approaches that can compensate for these effects. A recognition system based on each, the ECG and the PCG, is developed and evaluated. Furthermore, a fusion of the two signals in a multimodal biometric system is investigated.
Real Time, Visual Output Simulation - a New Process Tool for Construction Planners and Managers

We live in an era of major technological change and day by day we are presented with new technical tools and products. The construction industry is not immune from such change and recent advances, particularly in the area of computer technology, are bringing with them new opportunities for improving existing building practices and management methods. One very significant new technology that is in the process of emerging in the 1990's is that of advanced real-time computer graphics and low cost, real-time, data visualisation technology. When this new graphics technology is coupled with traditional engineering simulation methods a number of significant technical possibilities emerge as to better ways to approach old problems. It is the author's contention that purposeful and creative application of this new technology has the potential to significantly increase process efficiency and effectiveness within the building and construction industry and to assist in reducing the time taken to realise physical facilities.
A Hybrid Game Contents Streaming Method to Improve Graphic Quality Delivered by Cloud Gaming

In gaming industry, Cloud Gaming is a new form of gaming service on trend trying to serve millions of players around the world with novel gaming experience. It aims to provide high-quality gaming service at any device, including thin clients which are incapable of handling high-definition gaming softwares. Players are only required to use any device that can connect to cloud servers for receiving streaming data through network and display game contents. Ideally Cloud Gaming is a promising service of providing novel gaming experience but in reality, various technological barriers make Cloud Gaming not comprehensively feasible for every type of game, such as first person shooting game which requires fast responsiveness. In addition, most existing cloud service, which streams encoded video sequence back to the client, is difficult to catch up with the rising demands for graphic quality. In this thesis, the proposed hybrid game contents streaming method aims at improving graphic quality delivered from Cloud Gaming. Game contents streamed from cloud server are split into two parts, as one part is streamed as video sequence. Another part, which is streamed as graphic commands, is for rendering job to be performed at the client side. The locally rendered game contents are then displayed accordingly together with the contents streamed as video sequence. By taking the advantage of distributing rendering operation, the combined computing power is expected to produce better graphic quality. ∗Master’s Thesis, Department of Information Systems, Graduate School of Information Science, Nara Institute of Science and Technology, NAIST-IS-MT1351203, February 5, 2015.
Anticancerous Potentiality of in vivo Grown Twigs and in vitro Generated Plantlets of Endangered Oroxylum indicum (L.) Vent

The pharmacological and cytotoxicity evaluation of natural products, extracted from endangered medicinal plants have been reported in several cases. In the present study an attempt was made to evaluate the ethanol extract of both in vivo grown twigs and in vitro generated plantlets of Oroxylum indicum (L.) Vent. with respect to cytotoxicity against human cervical cancer SiHa cells and liver hepatocellular HepG2 cells. MTT assay measured the level of cytotoxicity of ethanol extract of both samples of in vivo and in vitro sources. In later case, plant tissue culture techniques were employed to raise in vitro generated plantlets, for which the nodal regions of in vitro seedling were taken as explants. MS medium, supplemented with BAP (2.5 μg ml) proved better than 2,4-D for shoot initiation. Such differentiated shoots on transfer into half strength MS media with IBA (0.5 μg ml) resulted into rooted plantlets and were exposed for ethanol extraction after 35 days incubation in acclimatizer room. The dose dependent cytotoxic effect of ethanol extract of in vivo sample in case of SiHa and HepG2 cells on extrapolation resulted into IC50 at 440 and 480 μg ml, respectively whereas in case of in vitro samples, the IC50 for SiHa and HapG2 cells was deducted at 530 and 550 μg ml, respectively. Thus, it was confirmed that the cytotoxic effect of natural products of O. indicum was more vigorous by 15% in field plants as compared to tissue culture generated plantlets and such difference could be possibly attributed to the changed habitat. The effect of extract on dying cells was further confirmed when apoptosis was measured by DNA fragmentation on agarose gel.
Recognition using Depth Sensors

In this work, we propose an online handwriting solution, where the data is captured with the help of depth sensors. User writes in air and our method recognizes it online in real time using a novel representation of features. Our method uses an efficient fingertip tracking approach and reduces the necessity of pen-up/pen-down switching. We validate our method on two depth sensors, Kinect and Leap Motion Controller. On a sample dataset collected from 20 users, we report an accuracy of 97.59% for character recognition. We also demonstrate how this system can be extended for lexicon recognition with reliable performance. We have also prepared a dataset containing 1,560 characters and 400 words with the intention of providing common benchmark for air handwriting character recognition and allied research.
Measuring the Impact of Day Activities as an Instrument for Recovery for People with a Serious Mental Illness? Defining the Concepts to Come to a User’s Perspective

Introduction The theoretical framework The driving force behind this research idea are the current funding cuts within mental health services instigated by municipal councils in Belgium and in the Netherlands that have an effect on the availability of day activity services, raising the possible question if the lack of services has an effect on the recovery process of people with a serious mental illness.
Early time-series classification with reliability guarantee.

We consider the early classiﬁcation of (incomplete) time-series data given a complete time-series training set. The early classiﬁcation problem arises naturally when test sample data is collected over time, or when costs must be incurred to collect the data. For example, for missile defense, it is important to determine the target type long before it reaches its target. A practical goal is to assign a class label as soon as enough data is available to make a good decision. This objective is formalized through the notion of reliability—the probability that a label assigned to the early, incomplete data matches that assigned to the complete data, and we propose a method to classify incomplete data only if a user-speciﬁed reliability threshold is met. Our approach models the complete data as a random variable whose distribution is dependent on the current incomplete data and the training data. The method differs from standard strategies in that our focus is on determining the reliability of the early classiﬁcation decision, not only the accuracy. Proposed methods are tested on a set of open-domain time-series datasets; where the goal is to classify the time-series as early as possible while still guaranteeing that the reliability threshold is met.
L G ] 2 0 Ju n 20 19 Learning to Collaborate in Markov Decision Processes

We consider a two-agent MDP framework where agents repeatedly solve a task in a collaborative setting. We study the problem of designing a learning algorithm for the first agent (A1) that facilitates successful collaboration even in cases when the second agent (A2) is adapting its policy in an unknown way. The key challenge in our setting is that the first agent faces non-stationarity in rewards and transitions because of the adaptive behavior of the second agent.
IDENTIFICATION, UTILIZATION, AND ECONOMIC IMPACT OF MAIZE GERMPLASM TOLERANT TO LOW LEVELS OF PHOSPHORUS AND TOXIC LEVELS OF EXCHANGEABLE ALUMINUM IN

A historical review of research and development related to the identification, utilization and economic impact of maize germplasm adapted to acid soils at EMBRAPAICNPMS is presented. Methods to identify tolerant germplasm and to select segregating materiaIs, through field experiments in acid and fertile soils and screening in nutrient soIution are discussed. Results of research including inheritance for aluminum tolerance and development of high yielding tolerant hybrids are presented. AIso, results of phosphorus efficiency related to root deveIopment, internaI accumulation of P and kinetics of absorption of P and N are discussed. The experience accumulated in this research program has shown that adaptation to acid soils can be associated, in the same . ' genotype with high yield potential and yield stability, as a result of tolerance to AI toxicity and improved P use efficiency. This program has generated severa I commercial cultivars which have been successfuly utilized in a large area of Brazil. The knowledge and experimental germplam generated are aIso valuable resources which are being used to support basic studies of mechanisms . ~ of tolerance to aluminum and nutrient use efficiency. A better understanding of these mechanisms will help the development of novel strategies for selection and improved cultivars in the future.