Miracle-dz/UniFAR-FTUs huggingface dataset:
Support of packet video over ad hoc wireless networks

In a wireless ad hoc network, packets are sent from node to node in a multihop fashion until they reach the destination. In this paper we investigate the capacity of a wireless ad hoc network in supporting packet video transport. We study an ad hoc network consisting of n homogeneous video users with each of them also serving as a relay node for other users. We will quantitatively study how the effective video throughput and the resulting delivered video quality are affected by the distance between the source and destination, measured as the number of hops required for a packet to reach the destination from the source. The results indicate that appropriate video coding rate control has to be employed in order to efficiently utilize the network capacity while avoiding packet loss as the number of hops between source and destination changes.
Approaching Concept Drift by Context Feature Partitioning

In this paper we present a new approach to handle concept drift using domainspecific knowledge. More precisely, we capitalize known context features to partition a domain into subdomains featuring static class distributions. Subsequently, we learn separate classifiers for each sub domain and classify new instances accordingly. To determine the optimal partitioning for a domainwe apply a search algorithm aiming to maximize the resulting accuracy. In practical domains like fault detection concept drift often occurs in combination with imbalances data. As this issue gets more important learningmodels on smaller subdomains we additionally use sampling methods to handle it. Comparative experiments with artificial data sets showed that our approach outperforms a plain SVM regarding different performance measures. Summarized, the partitioning concept drift approach (PCD) is a possible way to handle concept drift in domains where the causing context features are at least partly known.
MIAMM - Multidimensional Information Access using Multiple Modalites

Haptic interactions add new challenges to multi-modal systems. With the MIAMM project we develop new concepts and techniques to allow natural access to multimedia databases. In the paper we give an overview of our approach, and discuss the architecture and the MMIL interface language. A short example provides a general feeling of the possible interactions.
A high performance 3-D parallel filtering algorithm using the vector radix fast Hartley transform

We present an efficient method for 3-D parallel digital filtering using a new parallel filtering algorithm based on the 3-D vector radix fast Hartley transform (3-D VRFHT). This method is suitable for high resolution/high speed image/video processing. The 3-D parallel algorithm is highly parallel and efficient as it overcomes the overhead and performance limitations of the block filtering method by eliminating the overlapping segments and boundary conditions in parallel filtering applications. It also lifts the restrictions on the input size for high performance in the block-filtering algorithm, as both the 3-D input data and impulse response of the system are segmented into smaller subsections. These subsections are independent and can be simultaneously processed. The algorithm's structure and mathematical derivation are given and the performance of the algorithm is tested and presented using a parallel processing system with 4-DSP processors.
Modeling and simulation of a non-coherent frequency shift keying transceiver using a Field Programmable Gate Array (FPGA)

Abstract : In this thesis, the principals of Software Defined Radio are demonstrated by implementing a Binary Frequency Shift Keying (BFSK) receiver-transmitter in a Field Programmable Gate Array (FPGA). After introducing the theory behind the Non- Coherent BFSK demodulation implemented at the receiver, the design of transmitter and receiver is illustrated. The design environment of choice is Mathworks Simulink and Xilinx System Generator, a dedicated library for Mathworks Simulink. The design is downloaded to a Virtex-4 FPGA. The receiver is Non-Coherent (NC) in the sense that the receiver need not know the phase of the incoming signal. A feedback circuit is responsible for both packet and bit synchronization. Also, the receiver is implemented using non-coherent match filters instead of low pass filters which would be easier, but would degrade the performance. Finally, some interesting experiences that were gained during the learning process are discussed. In Appendix A, we evaluate different technological options in implementing communication modulating techniques and Software Defined Radio. These options include Digital Signal Processors, Field Programmable Gate Arrays, General Purpose Processors and Application Specific Integrated Circuits and a comparison between these choices is made.
Divided by a Common Language: Analyzing and visualizing two-way arrays

Provides the first comprehensive overview of the theory and applications of MCA Begins with two chapters that gently introduce the method to those with less experience in the field Adopts a practical approach with many worked examples Includes applications in survey research, social sciences, marketing, health economics, and biomedical research Features software notes in each chapter, an appendix with computational details, and R programs for applying methods DIVIDED BY A COMMON LANGUAGE: ANALYZING AND VISUALIZING TWO-WAY ARRAYS, John C. Gower Introduction: two-way tables and data matrices Quantitative variables Categorical variables Fit and scaling Discussion and conclusion
Power Control Techniques for Energy Efficient Wireless Sensor Networks

Low-cost and low-power sensor nodes forming Wireless Sensor Networks have become suitable for a wide range of applications during recent years. These networks, due to their special characteristics, demand the implementation of energyaware techniques and simple protocols in all layers. In this paper we describe, implement and evaluate power control techniques used to reduce energy consumptions. Using a simulation tool build especially for such networks, we evaluated the performance of these techniques mainly in terms of energy efficiency. Simulation results showed that depending on channel conditions, gains up to 70% can be achieved with the power control techniques. Moreover enhanced network throughput is observed. The effectiveness of the schemes was proven to be scalable regardless of the size of the network or the data rate used.
Conversation Systems for Requirements Engineering

Requirements analysis is one of the most critical problems in information systems development. While many approaches have been proposed, it has proven difficult to bridge the semantic gap between information technology specialists and users who are familiar with the domain. In this paper a new approach to requirements analysis will be presented that uses information technology to communicate with users in natural language. The paper describes the architecture of a prototype system that is based on natural language processing technology. The goal of the system is to engage the user in a productive dialogue about information systems requirements. The system generates questions about systems requirements, parses the users’ answer and then uses the answer to generate additional questions. This approach has two main advantages: dialogues can be adapted to the level of knowledge and the expertise areas of the user. In addition each session results in a knowledge structure that provides a strong foundation for the subsequent steps in requirements specification.
Learning Progressions in Science: An Evidence-Based Approach to Reform. CPRE Research Report # RR-63.

American education policy seems poised to escalate and shift its two decade long commitment to standards and outcome-based reform. That commitment has involved a set of " grand bargains " , in which the federal government provides Title I (The " No Child Left Behind Act " or NCLB) disadvantaged education funds in return for the states' agreeing to set ambitious content standards, and define performance or " proficiency " standards associated with them that all students in the states' schools will be expected to meet by the 2013/ 2014 school year. The disadvantaged children targeted by Title I are expected to meet the same standards as all of the rest of the children in each state. In return for agreeing to hold their schools accountable for meeting these expectations, the states are left free to set their standards and their related measures of proficiency as they wish, within some broadly defined parameters. And the local school systems and schools in each state, in return for their share of the Title I/NCLB money are left free, for the most part, to choose their preferred approaches to instruction as long as they agree to be held accountable for ensuring that all their students are making adequate progress towards meeting the state's proficiency goals. So, the general form of each bargain is an agreement to reduce or forgo regulation of inputs in return for a commitment to define, and meet, outcome expectations. But, having agreed to do something they had never before tried to do—to succeed with essentially all students—schools and educators face the problem that they don't know how to meet their side of the bargain. Proponents and observers of reform claim to be shocked that some states are setting their performance standards in ways that minimize or disguise the degree to which their students are likely to fail to meet the hopes of reform. In addition, schools and teachers are resorting to approaches, such as relentless test preparation and focusing on students who are just at the edge of meeting proficiency requirements, that try to meet the letter of the bargains' requirements while leaving the more ambitious spirit of the reforms' hopes well behind, along with all too many children. Comments View on the CPRE website. e University of Pennsylvania values diversity and seeks talented students, faculty, and sta from diverse backgrounds. e University of Pennsylvania does not discriminate on …
Synthesizing Object-Background Data for Large 3-d Datasets

In this project, we implement a 3-d data synthesis tool to generate a large number of object recognition training examples by synthesis in various configurations of relatively few background scenes and object models. Inputs for our tool are 2.5-d background scenes and 3-d object models. Each background scene is comprised of a visible-light image and corresponding depth map, collected by STAIR’s video camera and high-resolution laser scanner. We demonstrate a method to quickly and automatically generate scenes of the objects placed in the background scenes. These scenes are intended to be representative of scenes STAIR would encounter in the field containing real objects, and therefore good examples on which to train a STAIR classifier for object recognition. We compare the performance of an object recognition classifier trained on examples synthesized by our method against performance when trained on actual scenes.
Evaluation of a PV Model Based on a Novel Parameter Estimation Procedure for Different Manufacturers Modules

This paper presents the evolution of the single diode five parameters model for different manufacturer's modules. Also a novel procedure is improved to estimate the parameters of a PV model. The proposed procedure proposes an easy and accurate alternative approach to predict the current-voltage characteristics of a photovoltaic (PV) system. The proposed procedure is used the Newton-Raphson method based on simplified method to calculate the parameters of a PV system . The initial values of these parameters are estimated by using the simplified method to prevent a bad starting point which can compromise the convergence of the Newton-Raphson’s method. Also the proposed equations which are used to calculate these parameters of a PV system, allow one to calculate it's without relying on the experimental I-V curve to determine the parameters of a PV system as usually reported in literature. The proposed procedure takes the temperature dependence of the cell dark saturation current into consideration. The proposed procedure is used to calculate the parameter of different manufacturer panel models, which is able to predict the panel behaviour in different temperature and irradiance conditions, is built and tested. Nomenclature STCStandard Test Conditions (Eref =1000 W/m2, Tref=25 °C, spectrum AM1.5). Io Dark saturation current in STC. RshPanel parallel (shunt) resistance. Isc Short-circuit current in STC. Vmpp Voltage at the Maximum Power Point (MPP) in STC. Pmpp Power at the MPP in STC. Kv Temperature coefficient of the open-circuit voltage. qElectron charge. ns Number of cells in series. Iph the photo-generated current in STC. Rs Panel series resistance. A Diode quality (ideality) factor. Voc -Open-circuit voltage in STC. Impp Current at the MPP in STC. KiTemperature coefficient of the short-circuit current. Vt Junction thermal voltage. TCell Temperature, in Kelvin. VThe voltage appearing at the cell terminals.
Pattern Discovery in Biomolecular Data: Tools, Techniques, and Applications

From the Publisher: Finding patterns in biomolecular data, particularly in DNA and RNA, is at the center of modern biological research. These data are complex and growing rapidly, so the search for patterns requires increasingly sophisticated computer methods. Pattern Discovery in Biomolecular Data provides a clear, up-to-date summary of the principal techniques. Since pattern searches often benefit from multiple approaches, the book presents methods in their purest form so that readers can best choose the method or combination that fits their needs. This volume will be invaluable for all workers in genomics and genetic analysis, and others whose research requires biocomputing.
Sequential Parameter Optimization An Annotated Bibliography

This report collects more than one hundred publications related to the sequential parameter optimization, which was developed by Thomas Bartz-Beielstein, Christian Lasarczyk, and Mike Preuss over the last years. Sequential parameter optimization can be described as a tuning algorithm with the following properties: (i) Use the available budget (e.g., simulator runs, number of function evaluations) sequentially, i.e., use information from the exploration of the search space to guide the search by building one or several meta models. Choose new design points based on predictions from the meta model(s). Rene the meta model(s)) stepwise to improve knowledge about the search space. (ii) Try to cope with noise by improving condence. Guarantee comparable condence
Construction and first evaluation of a newly developed tactile Shear Force Display

At present, tactile displays are constructed either as shape or vibrotactile displays. While shape displays render the shape of objects to the skin, vibrotactile devices display high frequent but small amplitude patterns of forces. Existing tactile displays of both types base on an array of small pins, which move normal to the contact surface. That is, the pins create a pattern of indentation into the skin. Usually, the devices are applied to the human finger pad. However, in order to produce a realistic tactile impression of the environment it is probably as important to provide forces lateral to the human skin, so called shear forces. This is particularly reasonable when considering perceptions evoked by movements of the skin relative to the environment, e.g. when stroking with the finger across a surface. We aim at technically realizing a third type of tactile display which can provide shear forces. The poster presents the prototype of a shear force display for the finger tip and a first psychophysical evaluation. In order to explore whether the stimuli produced by the display are appropriate for human perception we studied in a first step discrimination performance of humans for distinguishing between different directions of pin movement. This basic psychophysical knowledge that so far did not exist because the technology was not yet available will in return be used to improve the design of the display.
Digital libraries in the knowledge era: Knowledge management and Semantic Web technologies

Purpose – The aim of this paper is to introduce the special issue on the Semantic Web. Intensive research has been undertaken worldwide in research centres and several achievements have been accomplished towards the ultimate objective: the expression and the exploitation of humanity's collective knowledge.Design/methodology/approach – A multi‐fold strategy for the preparation of this special issue was deployed. Given the special characteristics, a balanced mix of introductory papers to the topic, and also advanced research papers at the leading edge of Semantic Web evolution, were selected.Findings – The paper summarizes the articles of the issue and also provides help in understanding the Semantic Web Roadmap of Digital Libraries.Originality/value – Introduces the papers in the special issue.
Digital Implementation of DSVPWM Control for EV fed through Impedance Source Inverter

In this paper, a new space vector modulation technique is proposed for speedcontrol of Induction Motor using Z-source inverter powered by a low voltage DCsource. The zero states of conventional space vector modulation is used for boosting the DC link voltage to the required level. The proposed SVM techniqueestimates the required shoot through period of the Z-source inverter to maintainthe DClink voltage constant at the desired level through capacitor voltage control.A 32 bit DSP (TMS320F28335) is used to implement the proposed space vectormodulation method. The power structure and the modulation technique is wellsuited for electric vehicle application.
Nested default reasoning for user modeling

A model of how a computer user reasons is important for effective human/computer communication. At least two distinct levels of reasoning are involved when modeling a user: the computer system reasons about the user, and the user reasons about the domain of discourse. More levels are needed to model users who are reasoning about other agents. For accuracy and flexibility, each level of reasoning should incorporate reasoning by default as well as by deduction. Default reasoning by the system enables making assumptions about the user in case the system has incomplete knowledge. Reasoning about defaults of a user enables the system to avoid misleading the user. This thesis develops tools for reasoning by default about users who reason by default. These tools are based on Theorist, which defines explanations in terms of facts and defaults. The tools incorporate distinct levels of reasoning by having both the system and the user reason according to Theorist. Nested Theorist (NT) is a simple tool that allows default reasoning on arbitrarily-many levels. NT is expanded in two ways: Prioritized Nested Theorist (PNT) uses defaults of different priority levels to give the system's default more power and to help remove multiple extensions. Limited Nested Theorist (LNT) permits the system to reason about limitations of a user's reasoning ability. In LNT, the system assumes that the user is able to draw an inference. These assumptions can be blocked if the user's reasoning resources are limited in some way. These tools are implemented using a general technique that allows a reasoning procedure to operate on many levels. Given a single-level meta-interpreter of a reasoning procedure, an algorithm translates this meta-interpreter into an interpreter that works on multiple levels. Computational overhead is removed via program transformation. (Included is a novel implementation of Prioritized Theorist.) Several examples taken from user modeling and speech act theory illustrate how these tools are useful as a general framework for user modeling. Comparisons with related work regarding logical omniscience, metareasoning, and default reasoning illustrate the advantages obtained by tools with defaults on distinct levels.
Assignment-space exploration approach to testable data-path synthesis for minimizing partial scan registers

In this paper, we present an assignment-driven approach to data-path synthesis for area-efficient partial scan testability. The method basically adopts branch-and-bound strategy for exploring assignment solution space as a backbone task, and the lower bound estimates of the scheduling length, the number of scan registers and area are used for pruning. Algorithms for lower bound estimation of the number of scan registers and selection of scan registers as a leaf task are mainly demonstrated in this paper, while the assignment-driven scheduling is relegated to a previous paper.
Conceptual representation for image processing algorithms: hybridation of concepts

The field of knowledge sharing designed from conceptual specifications-ontologies and the field of logical modeling of goal achievement have an impact on processing design by using image data explanations, from sensors to physics which deals with the real world. We report in this paper some illustratioons and preliminary models dealing with the enhancement of relations which exist between conceptualization and image processing (IP). In this framework, the paper focuses on elementary models which are in correspondence with categories of IP objects, functions, and properties. The aim of this approach is to formalize conceptual domains from conceptual specifications (ontologies) and use these conceptual models in order to guarantee the adequacy between domains, and to establish a taxinomy of each domain.
Olden: parallelizing programs with dynamic data structures on distributed-memory machines

The goal of the Olden project is to build a system that provides parallelism for general-purpose C programs with minimal programmer annotations. We focus on programs using dynamic structures such as trees, lists, and DAGs. We describe a programming and execution model for supporting programs that use pointer-based dynamic data structures. The major differences between our model and the standard sequential model are that the programmer explicitly chooses a particular strategy to map the dynamic data structures over a distributed heap, and annotates work that can be done in parallel using futures. Remote data access is handled automatically using a combination of software caching and computation migration. We provide a compile-time heuristic that selects between them for each pointer dereference based on programmer hints regarding the data layout. Also, we provide a new local-knowledge coherence mechanism for the cache that outperforms traditional invalidation methods on our benchmarks. The Olden profiler allows the programmer to verify the data layout hints and to determine which operations in the program are expensive. We have implemented a prototype of Olden on the Thinking Machines CM-5. We describe our implementation and report on experiments with eleven benchmarks.
The research on video signal electromagnetic radiation of computer based on near-field testing data

Computer circuits are very complex and there are various signals in them. A computer can radiate electromagnetic waves when working. Some of these radiations may result in computer information leakage. A video signal electromagnetic radiation model is set up based on near zone testing data, and the far zone video electromagnetic radiation is estimated using computational electromagnetics. Furthermore, it is proposed to investigate noise in the propagation path using the FDTD method, and the noise is modeled as a stochastic process rather than determined variables. Thus, the time-variant characteristic of noise in the propagation path is studied. Then, electromagnetic radiation with 16 dB degrees is simulated. Lastly, the recovered word images are given, after the video electromagnetic information leakage is processed through synchronization, correlated filtering, phase locking, recognition and reconstruction technology, etc. The characteristics of information leakage are studied and discussed.