Miracle-dz/UniFAR-FTUs huggingface dataset:
INFLUENCE OF A 6-WEEK MIXED BALLISTIC-PLYOMETRIC TRAINING ON THE LEVEL OF SELECTED STRENGTH AND SPEED INDICES OF THE LOWER LIMBS IN YOUNG FOOTBALL PLAYERS

The development of muscle power should be taken into account in soccer training. The aim of this study was to evaluate the influence of a 6-week of mixed power training on the level of the motor skills of the lower limbs of young soccer players. The training was conducted during the starting period. The study included twelve 16-18-year-old players who regularly participated in specific soccer trainings and played in regional competitions. Their basic anthropometric features were measured. The assessment of the power of the lower limbs was carried out using two jump tests: CMJ and SJ. The maximum anaerobic power was calculated and was expressed in relation to body weight and lean body mass. In addition, Drop Jump tests were performed from three different heights on the basis of which RSI reactive strength index were calculated. On completion of the training program an increase in the level of the results of all the tests was observed: SJ (cm) (cohen's d: 0.43), CMJ (cm) (cohen's d: 0.33), SJPmax (W/kg) (cohen's d: 0.43), CMJPmax (W/kg) (cohen's d: 0.30), SJPmax (W/LBMkg) (cohen's d): 0,57), CMJPmax (W/LBMkg) (cohen's d: 0,44), RSI 0,2 (cohen's d: 0,59), RSI 0,3 (cohen's d: 0,45), RSI 0,4 (cohen's d: 0,58). An additional six-week ballistic-plyometric training program, used as a supplement to the basic training plan during the start period, resulted in an increase in the motor skills of the lower limbs of young soccer players. The application of combined ballistic and plyometric training methods helps to improve the strength and speed potential of young soccer players.
Scene categorization with multiscale category specific visual words

In this paper, we propose a scene categorization method based on multi-scale category-specific visual words. The proposed method quantizes visual words in a multi-scale manner which combines the global-feature-based and local-feature- based scene categorization approaches into a uniform framework. Unlike traditional visual word creation methods which quantize visual words from the whole training images without considering their categories, we form visual words from the training images grouped in different categories then collate the visual words from different categories to form the final codebook. This category-specific strategy provides us with more discriminative visual words for scene categorization. Based on the codebook, we compile a feature vector that encodes the presence of different visual words to represent a given image. A SVM classifier with linear kernel is then employed to select the features and classify the images. The proposed method is evaluated over two scene classification datasets of 6,447 images altogether using 10-fold cross-validation. The results show that the classification accuracy has been improved significantly comparing with the methods using the traditional visual words. And the proposed method is comparable to the best results published in the previous literatures in terms of classification accuracy rate and has the advantage in terms of simplicity.
Research on G2G E-Government Information Sharing Cloud

To explore G2G e-Government information sharing mode suitable to China’s national conditions and to boost the construction process of e-Government have already become hot spots among the management informationization strategies of Chinese government. First of all, an introduction of the current situation of China’s G2G e-Government information sharing is made. Secondly, the problems faced by G2G information sharing are analyzed. Based on cloud computing technology, an information sharing cloud applied to G2G e-Government area is put forward, a comparison between information sharing cloud mode and existing sharing mode is made, after that the TDABUM general framework model of information sharing cloud and its software architecture are designed, finally strategies of coconstruction and sharing of information sharing cloud are brought forward.
Uneven clustering routing algorithm based on minimum spanning tree

The existing uneven clustering routing algorithms do not consider the optimal path selection between cluster heads and base station,which leads to unbalanced energy consumption.In order to balance energy consumption of transmission paths,this paper proposed an uneven clustering routing algorithm based on minimum spanning tree.The algorithm utilized residual energy of nodes and the distance between nodes and base station to select cluster heads,and then generated minimum spanning tree to search the optimal transmission paths,which reduced energy consumption on the transmission paths and effectively solved unbalanced energy consumption.The theoretical analysis and experimental results show that the algorithm is better than the existing Energy Efficient Uneven Clustering(EEUC) and Energy Balancing Clustering Algorithm(EBCA) in terms of the number of live nodes and energy consumption.
Development of a Network on Chip for Parallel Processing Systems

We have developed a network (called TPNET) which is adaptable for any parallel processing systems. It consists of several core processors and a router. A process element in a parallel processing system is a processor called TPCORE2, which has been developed by the authors’ group. Since this core processor can execute full set of the transputer instruction set, we can describe a software system using the parallel processing language occam. Occam is based on theoretically a model called Communicating Sequential Processes (CSP). If a parallel system can be described in occam language, and work fine, it will be regarded as free from any deadlocks or livelocks which will be intrinsically hidden in a parallel system. We can construct simply a secure parallel processing system in this way. Each processor can be connected to a router, and we can achieve a dynamic configuration of the network topology by controlling the router. The basic communication protocol in TPNET is IEEE 1355. An assured and efficient network can be constructed despite the structural simplicity of the protocol. With characteristics discussed above and with an efficient interrupt processing system in TPCORE2, we propose this TPNET as a basic framework for high performance embedded systems used widely in various industrial fields.
Jitter transfer analysis of tracked oversampling techniques for multigigabit clock and data recovery

Bang-bang controlled clock-recovery is widely used in serial link applications as it offers ideal matching between the timing and data samplers and is amenable to fast digital implementation. However, the bang-bang phase detection discards the magnitude information of the timing error and results in inconsistent loop dynamics that vary with the input-noise characteristics. This paper analyzes the jitter-dependent behavior of the tracked oversampling clock-recovery loop, by introducing the concept of effective phase detector gain. Three methods to stabilize the loop bandwidth against jitter variation are described and compared: adapting the loop gain, increasing the oversampling ratio, and adjusting the sampling points. The analyses are then verified with the jitter transfer characteristics obtained from time-step behavioral simulation.
A novel approach to network router/bridge for nationwide intranet

Intranets have been receiving much more attention due to the success of the WWW. There is an increasing demand for intranets that offer higher speed, higher throughput, and stronger security at low cost. This paper points out the problems of constructing a nationwide computer network and proposes the cut-through ATM-based forwarding engine and a new network configuration concept that acts as a large router/bridge.
Hysteresis in floating-body PD/SOI CMOS circuits

In this paper the hysteretic (history-dependent) propagation gate delay of floating-body (FB) partially depleted (PD) SOI CMOS circuits is investigated. The change in gate propagation delay with time is examined with no preconditioning of the floating-body. The simulation-based analysis includes the sensitivity of the hysteresis to supply voltage, Wp/Wn (beta ratio), duty cycle, slew rate, output load, and initial state of the circuit. Basic physical mechanisms underlying the hysteretic circuit behavior are examined. The results identify the main contributors and general trends of hysteresis in FB PD/SOI circuits. The insight gained can ultimately be incorporated into conventional circuit timing tools. The results also reveal a circuit sizing methodology to minimize the hysteresis effects in circuits using PD/SOI technology.
Cellular Digital Packet Data CDPD

Cellular Digital Packet Data (CDPD) is a technology that provides digital packet-switched data services through standard analog cellular channels. CDPD is implemented as an overlay to existing cellular networks allowing data to be sent in packets during idle times on the cellular voice channels. This overlay implementation makes use of existing cellular infrastructure, simultaneously transmitting voice and data from the same device. A cellular communication network has significant advantages over its wireline counterparts. Mobility and ease of use are two particularly attractive features to a large population of field employees. Based upon well known world standards, CDPD will provide connectivity anywhere anytime-a true realization of the well sought dream of having "information at your fingertips". <<ETX>>
Shorter table ATA evaluation of elementary functions in single precision

In this paper a slightly modification is proposed to the original Wong and Goto’s ATA method for the computation of elementary functions in IEEE 754 single precision. The identification of a trade-o leads to the proposition of a dierent chunk of the mantissa that in turn brings a reduction in the length of the tables. Results are reported for usual elementary functions based on exhaustive simulations. A mixed framework including VHDL and Matlab R is used for those simulations.
The effects of multi-component Intervention based on Functional behavioral assessment on the attack behavior and alternative behaviors with Autism Spectrum disorder student

The purpose of this study is to investigate the effects of multi-component intervention based on functional behavioral assessment on the attack behavior and alternative behaviors of Autism Spectrum disorder student. The research subjects are students who attend high school in a special school and who show attack behavior to their peers in the class. This study used multiple baseline design across settings, and it is based on the systematic functional behavioral assessment of the targeted students to understand the functions of problem behaviors and conducted multi-component interventions including antecedent and setting events, alternative behavior instruction, consequences. As a result of the study, multi-component intervention based on functional behavioral assessment decreased the incidence of attack behavior and increased the incidence of alternative behaviors. In the maintenance period after intervention, the frequency of attack behavior decreased and the frequency of alternative behavior increased. Based on the results of the study, we discussed the factors affecting the problem behaviors and alternative behaviors of students with autism spectrum disorder related to characteristics of the student, mediation, and previous studies.
Mundtlig sprogfærdighed i tysk og fransk: et oplagt udviklingsområde

I denne artikel er der fokus på den mundtlige sprogfærdighed i sproguddannelserne i tysk og fransk, med udgangspunkt i studieordninger og de studerendes oplevelse af undervisningen. Artiklen bygger på en undersøgelse af andet fremmedsprog i Danmark fra grundskole til universitetsuddannelser (Andersen & Blach 2009). Der indgår 65 spørgeskemabesvarelser fra studerende på Aarhus Universitet samt inter- view med tre undervisere (U1, U2 og U3) i mundtlig sprogfærdighed, svarende til den samlede undervisergruppe i efteråret 2008 på Aarhus og Københavns univer- siteter. [. ]
Multi-user decision-feedback space-time processing with partial cross-feedback connectivity

This paper investigates space-time receiver architectures in multi-user wireless systems where optimal idealized (infinite-length) space-time filtering is applied to minimize the mean-square error. Both feedforward, decision-feedback and cross-decision feedback filters are employed; it follows that not only does the system eliminate the post-cursor ISI (intersymbol interference) but also some portion of the post-cursor CCI (co-channel interference). Such a receiver is most useful in the context of an SDMA (space division multiple access) system since the base station then has readily available knowledge on the decisions of the in-cell co-channel interfering signals. However, significant CCI is also received from outside the cell for which there is normally no decision information available. Therefore, in-cell and out-of-cell co-channel interferers will be treated differently by the receiver since no cross-feedback filter can be implemented for the out-of-cell signals. Our analysis leads to a closed-form expression for the minimum achievable MSE (mean-square error) for both fully- and partially-connected cross-decision feedback systems (XDF). Numerical results compare the performance of XDF systems with standard space-time DF and linear processing as well as the matched-filter bound.
Software specifications metrics: a quantitative approach to assess the quality of documents

Following the development of system requirements, the software specifications document consists of a definition of the software product. Each of the following phases of design, coding, and integration/testing transforms the initial software specifications into lower levels of machine implementable details until the final machine processable object code is generated. Therefore, the completeness, readability and accuracy of the software specification directly influences the quality of the final software product. A waterfall development model is not assumed. It is assumed however, that software specifications are kept "alive" and relevant. The purpose of the article is to provide a methodology for deriving quantitative measures of the quality of the software specifications document. These measures are designed to complement good engineering judgment that has to be applied in order to judge the quality of a software specifications document. Quantitative measures (i.e., metrics) will help reveal problem areas in various dimensions of quality characteristics. We focus on completeness, readability and accuracy. The methodology is presented with real life examples.
Rapid recovery from transient faults in the fault-tolerant processor with fault-tolerant shared memory

The Draper fault-tolerant processor with fault-tolerant shared memory (FTP/FTSM), which is designed to allow application tasks to continue execution during the memory alignment process, is described. Processor performance is not affected by memory alignment. In addition, the FTP/FTSM incorporates a hardware scrubber device to perform the memory alignment quickly during unused memory access cycles. The FTP/FTSM architecture is described, followed by an estimate of the time required for channel reintegration. <<ETX>>
Effective Estimation Software cost using Test Generations

In software engineering, we have many problems particularly with software cost estimation and the assessment of the evaluation model. Software cost estimation mainly depends on two factors which are the estimation consistency and estimation accuracy. These are very much important to the perfect development of the software without any drawbacks to it. In the past there have been many models and techniques that have failed to give the correct software estimation that really challenges the all factors of perfect software in this paper we use software requirement specification but we were not getting the accurate results that are helpful for developing of perfect software that is having perfect cost estimation. So we introduce the Automated Test-Data Generation Techniques method that gives us the desired results which will be helping us to know the software cost estimation very much accurately and also estimate consistently.
Collins COBUILD dictionary of idioms

This new second edition of the Collins COBUILD Dictionary of Idioms offers in-depth treament of the most important idioms in current British and American English This new second edition of the Dictionary of Idioms offers in-depth coverage of the most important idioms in English, and provides additional information about their frequency, contexts, meanings, and usage. Thousands of examples from the Bank of English have been used to illustrate clearly how the idioms are used in the language today. New to this edition is fascinating information about the origins of hundreds of idioms, essential for learners wishing to gain a fuller understanding of the language. Clearly laid-out and easy-to-use, the Collins COBUILD Dictionary of Idioms will prove to be fascinating and invaluable to teachers and learners of English at all levels.
Nonlinear distance and cruise control for passenger cars

A methodology for designing an automated vehicle longitudinal velocity and distance controller is presented and applied to an automobile. nonlinearities. The controller consists of a three layer structure. In the first layer a linearization of the nonlinearities is done in order to achieve a simplified structure for controller design purposes. With respect to changes in the typical vehicle parameters-mass and aerodynamical drag-an adaptive controller structure is used and these parameters are estimated by a recursive least squares algorithm. Based on classical controlling techniques a linear acceleration controller is developed in the middle layer. A fuzzy controller is applied in the upper layer. This controller based on the linguistic description of comfort demands. Additionally a neural network is used in this layer instead of the fuzzy system. The complete structure is used in two different series fabricated vehicles and experimental results are shown for highway traffic and also for stop-go traffic on highway congestions. Additionally a neural network is trained by measurement data as a second approach to describe the comfort demands.
Bases bioquímicas y neurobiológicas de la adicción al alcohol

Los ultimos avances neurocientificos han permitido profundizar en la fisiopatologia del alcoholismo a nivel bioquimico y celular. Actualmente se sabe que los efectos agudos del etanol estan fundamentalmente mediados por su interaccion con neurotransmisores aminoacidos (primordialmente en los receptores GABAA y NMDA), asi como cambios paralelos en determinadas aminas como la dopamina y la noradrenalina. Las respuestas neuroadpatativas en los receptores de aminoacidos subyacen probablemente en componentes importantes del sindrome de abstinencia, contribuyendo a la muerte neuronal que se encuentra en el alcoholismo cronico. Aunque no estan tan bien comprendidas, las propiedades reforzadoras del etanol parecen estar mediadas fundamentalmente por la activacion de receptores GABAA, la liberacion de peptidos opioides, la interaccion con receptores nicotinicos y la liberacion indirecta de dopamina.
The 'Logic Assurance (LA)' system-a tool for testing and controlling real-time systems

The LA system combines the testing, debugging, monitoring and control of real-time systems. It is capable of improving a system's reliability and development productivity. This is achieved by enabling the developer to describe parts of the specification with logic and temporal logic assertions. The assertions are automatically compared to the actual behavior of the system under development (SUD), and its environment information about the SUD's behavior is represented by informative events and states. This information is transferred to LA from different resources by using special directives inserted inside the code (an approach we call 'informative box'). When an assertion is violated, an informative message is given so that bugs can be detected and focused on. In addition to the message, a user function can be called. This can be used for real-time control and monitoring, either while testing the system or after it has already been launched. The informative box method enables one to perform smart, pin-pointed tests and temporal tests, neither of which can be performed by using standard black-box techniques. This is why LA can assist in the testing and integration of real-time embedded systems, reactive systems, and particularly in the testing of multiprocessor systems running cooperative processes. Considerable time and effort can be saved by using LA throughout the development process. Moreover, it has the capability to detect erroneous situations that otherwise would be more difficult to notice, as was proven when it was used to handle several communication protocol simulations.
Wideband beamforming using fan filter

A novel approach to wideband beamforming using FIR (finite impulse response) fan filters is presented. The method is based on two-dimensional filtering for the outputs of a linear array of sensors. To beamform in the broadside of the array, a symmetrical 90 degrees /n filter is employed. The filter in which the angle of fan is more acute can form the narrower beam over the full band while the order of the filter becomes higher. To beamform in the direction along the array, an asymmetrical 45 degrees fan filter is used. As aliasing occurs in this beamforming, the band which is available is limited a little in width. A general implementation of the FIR fan filter beamformer is given as the parallel connection of one-dimensional FIR filters. <<ETX>>
Location of Semi-Obnoxious Facilities

Facility location models in the literature usually consider the facility to be either purely attractive, and then seek the facility locations minimizing the overall transportation costs, or purely undesirable, and then seek the sites minimizing some social cost such as the environmental impact caused. When facilities, although necessary for the community, also have some negative impact on the population or the environment — pollution, noise, risk of accidents, etc. — these two contradicting aspects should be taken into account simultaneously. This leads to models which are more realistic, but are usually also much less tractable from a computational viewpoint. In this note we present a critical overview of the mathematical methods commonly used in this emerging field.
Analysis and Comparison of Different Image Denoising Techniques- Review

Image denoising is the process of recovering the underlying clean image from an observation that has been corrupted by various noises. Due to the fact that image quality is critical for later high-level applications (e.g., object detection), denoising is a very popular topic in the image processing field. This paper presents the comprehensive study that serves as a good reference and stimulates new research ideas in image denoising
A Combining Rate Adaptation Scheme of Channel Coding and Network Coding in None-relay Downlink Wireless System

We propose rate adaptation in the entire downlink process of transmission in channel-network combining coding systems. In current literatures, rate adaptation is discussed in channel coding or network coding separately and in traditional channel-network combining coding cases, network coding rates are generally 1. This paper is based on a one-source multi-destination wireless downlink communication system and a novel scheme of rate adaptation is applied. Our scheme of adaptation works between channel coding rate and network coding rate and its influence on system performance, which is given in form of simulation in the last chapter of this paper, shows that it works well for deducing system BER.