Miracle-dz/UniFAR-FTUs huggingface dataset:
A self-deleting neural network for vector quantization

Vector quantization is required the algorithm that minimizes the distortion error, and used for both storage and transmission of speech and image data. For a neural vector quantization, the self-creating neural network and self-deleting neural network and known for showing fine characters. In this paper, we improve the self-deleting neural network, and propose a generalization algorithm combining the creating and deleting neural networks. We discuss algorithms with neighborhood relations compared with the proposed one. Experimental results show the effectiveness of the proposed algorithm.
Limitations on optical free-space crossbarlike interconnection networks

Providing the required interconnections between the processors of a parallel computer is a difficult problem: latency, switching control, cost, and crosstalk effects have to be taken into account. It is widely believed that the design might be simplified if optical technology is used. However, even optical interconnections cannot cater for an unlimited number of processors. For systems with up to about 1O - 106 processors, it seems that the arrangement of the processors in space so that each can "see" the others is the limiting factor; A large part of the volume involved must stay empty for the information-bearing light beams. above that, diffraction effects and power requirements place a limit on the number of processors.
Element accessed array radar processing

Digitizing the signals from phased array at the element level is becoming more practicable through advances in technology. Adaptive beamforming schemes such as a sample matrix inversion involve inverting a covariance matrix of dimension equal to the number of spatial channels. Since with an element digitized system there can be several thousand elements it becomes impractical to invert such large matrices. This paper presents a weight computation scheme for a fully digitized system. The clutter returns are firstly range gated and then the adaptive process is broken down into a smaller cascade of stages, or domains. Attenuation of the clutter is then achieved using a spatial Wiener filter in each domain. From a simulation of an airborne radar at a high pulse repetition frequency, examples are given of adapted beampatterns and clutter output doppler spectra within each domain. By choosing alias free domains, a clutter-free output is obtained for the sidelobe clutter scenario investigated. A comparison is then given with the performance of a 32 sub-array system does not have the necessary control of the small scale order of the array weights to spatially null the clutter.
Employee Perceptions of Workplace Factors That Will Most Improve Their Performance.

Training is often the performance improvement solution of choice, yet how often does the best training not yield performance improvement? There is a growing body of evidence that indicates that many times performance improvement can be achieved faster, cheaper, and better by altering factors in the workplace than by training. This article describes an activity designed to illustrate the importance of workplace factors in improving performance and a study that demonstrates its validity. Results of the study indicate that two-thirds of the participants believed the environmental factors of information, resources, and incentives needed improving in order to enable them to improve their own performance.
The styrian juvenile obesity study (STYJOBS)

The STYrian Juvenile OBesity Study (STYJOBS) Harald Mangge, Karine Sargsyan, Stefan Pilz, Renate Horejsi, Reinhard Möller, Roumiana Dimitrova, Gisela Weihrauch, Gunter Almer, Hubert Scharnagl, Tatiana Stojakovic, Martin Borkenstein, Winfried März. Clinical Institute for Medical and Chemical Laboratory Diagnosis, Institute for Medical Chemistry, Department of Pediatrics, Medical University of Graz, Austria.
Development of an embedded system for classification of EMG signals

This article describes a methodology to create high-level algorithms, such as artificial neural networks and other pattern recognition techniques to be implemented in embedded systems. A system was developed on a DSP (Digital Signal Processor), for identification and classification of EMG signals; for this purpose the Code Composer Studio software V3.3 and Matlab package were coupled for programming the TMS320F28335 card. The aim of this study was to create a model of an artificial neural network from a previous pre-processing to be implemented on an embedded hardware with the respective network. A typical MLP (Multilayer Perceptron) Network was developed from a pre-processed data set, which were obtained through the acquisition of EMG signals. The data were validated with the discrimination technique as Principal Components Analysis (PCA), which was useful to determine the repeatability and selectivity of the measuring system. Through this application it was possible to improve the processing speed, portability and response of EMG device, which opens a wide range of possibilities for this methodology to be applied in different sectors (e.g, industry, health, etc.) and mainly as a signal classification system.
Movement Surface: A Multilevel Approach for Predicting Visitor Movement in Nature Areas

The movement of visitors in nature areas is influenced by a variety of factors that consist of aggregated characteristics such as the average number of visitors to a park, different types of visitors, and their typical destinations, as well as individual characteristics of an individual vistor's expectations, motivations, activities, duration of stay, and trip itineraries. Therefore, it is important to simulate an overall picture of a visitor movement (macroscopic level) according to his individual physical mobility and cognitive capabilities (microscopic level). Most recreational simulation models have been developed to deal with one specific level in particular. In this paper we describe an integrated multilevel modelling approach for the prediction of visitor movement in nature areas. At the macroscopic level, a visitor movement is represented by a movement surface which follows the analogy of the flow of water in gravity models. In contrast, our model also belongs to the microscopic category, where visitors interact with their movement surface by making a sequence of decisions according to utility measures, which in turn generates their individual trajectories. The model was implemented for the simulation of the visitor movements within the Dwingelderveld National Park, which is located in the northern part of the Netherlands. Finally, the main outcomes and limitations of such a modelling approach are discussed.
The optimization of bandlimited systems

Bandlimited functions play important roles in the design of signal transmission systems; antennas; digital, analog, and optical filters; tapered transmismon lines, etc. The basic problem arising in all the above-mentioned applications consists in approximating a given nonbandlimited response with a bandlimited system function. This paper presents 1) a unified treat-merit of the mathematical properties of bandlimited system functions; 2) analytical and numerical methods for the optimization of bandlimited systems; and 3) the application of the theoretical results to practical engineering problems.
Topology Optimization of a Compliant Gripper Using Hybrid Simulated Annealing and Direct Search

The present work introduces a new methodology for solving the topology optimization problem of a compliant gripper. A hybrid optimization technique is developed using simulated annealing as a random search method, while the simplex method (Nelder-Mead) is used as a direct search method. A new modified technique of motion from one search point to another based on the discrete nature of adding and/or removing a structural member is proposed. The traditional continuous simulated annealing technique is used to find the members’ heights. A discrete uni-variant search method is adopted following the simulated annealing and before the simplex method. This corresponds to about 14% of the number used in the old method and in the previous work in the literature, and about 86% of the optimization time is saved. The optimum design of a compliant mechanism is conducted for maximum flexibility and stiffness using the developed hybrid optimization technique.Copyright © 2003 by ASME
Mental Fitness for Life: Seven Steps to Healthy Aging (review)

RÉSUMÉ Cet ouvrage, qui s'adresse aux personnes âgées, présente un programme favorisant le fonctionnement mental optimal. Parmi les sujets abordés on retrouve l'instauration d'objectifs, la pensée constructive, la créativité, l'apprentissage et la mémoire, et l'affirmation de ses opinions. En général, il promeut une disposition de vie caractérisée par l'optimisme, la flexibilité mentale, la confiance en soi, et l'humour. Ce livre communique son message avec enthousiasme et dans un langage accessible au grand public. De nombreux exemples, des citations de même que des exercices stimulants facilitent la progression dans le programme et l'application des conseils formulés. Même s'il contient quelques simplifications et exagérations, ce livre est fortement recommandé non seulement pour les personnes âgées mais aussi pour les éducateurs, les professionnels de la santé, et les étudiants de toutes les disciplines de la gérontologie.
Double Star Embedded Clustering Algorithm for Wireless Ad Hoc Networks Using Ranking

Abstract Clustering of mobile ad hoc network (MANET) is an important concept, which partitions node set into many classes such that each class has some structural property. In literature, there are many papers available, which are due to star topology clusters. In this paper, a new concept of k-hop double star embedded clustering is introduced, in which each cluster has a master, a proxy and two types of slaves. The slaves in the cluster are adjacent to either the master or the proxy or both and themselves. Clearly, this type of partition of the network will induce less number of clusters than the star clustering. Extending the concept of ranking of nodes done by authors in T.N. Janakiraman and J. Janet Lourds Rani, An efficient k-hop weighted domination clustering algorithm for mobile ad hoc networks using ranking, IEEE Proceedings of the International Conference on Computational Intelligence and Multimedia Applications 2007 (ICCIMA ’07) based on the signal strength, in this paper, the edges are also ranked based on reliability of having more number of common nodes and four-con-cyclic neighbours to the end vertices of the edges. Comparing to star clusters, it is clear that this procedure produces lesser number of clusters and also with increasing reliability. Clearly, the double star embedded cluster of the given network must have a sub graph, which is a double star having a master and a proxy as a central pair of nodes.
Terahertz Technology For Military Applications

The ability to detect and identify objects hidden behind barriers is one of the core features THz technology can offer. In today’s security environments the ability to identify threats like hidden weapons, body-worn explosives are a strong operational need. Also detecting these threats at longer ranges are more crucial in security portals. With its capacity in penetrating on a lot of dielectric material and non-polar liquids THz technology can offer cross-barrier vision ability. THz spectral imaging technology is also offering a fingerprint characteristics by identifying the composition of objects. By being non-ionizing THz technology does not represent health hazards for living tissue or humans as X-rays do.
ELEMENTS OF THEORETICAL NET-LINGUISTICS. PART 2: PHONOLOGICAL NETS

Phonological rule systems are usually interpreted as systems of symbolic feature manipulation. They are here reinterpreted as networks of interacting neuronal modules realizing a signal flow between morphological and lexical nets and nets activating the muscles of the articulation tract. The essay is to be understood as an exercise introducing linguists to expressing their structures in terms of signal processes in neuronal nets and not yet as an empirical hypothesis about the actual structures of the brain.
A Design of the Model for Smart Home Gateway

A gateway is needed to control the smart devices at home. However, how to maintain or obtain the devices and form a mesh or tree shape topologies is still a question. There should be a model to form the architecture for the smart home objects. In this paper a multi-hop routing mechanism is proposed for smart home object and the algorithms are put forward for the smart objects to send and forward data packages to the gateway. The experiments show that the routing algorithm is practical and suitable for the home network. Keywordsmulti-hop, routing, gateway, 6LoWPANs
Properties of Interconnection on Silicon, Sapphire, and Semi-Insulating Gallium Arsenide Substrates

Interconnection capacitances and inductances on oxide-passivated silicon, sapphire, and semi-insulating gallium arsenide substrates were calculated and compared. The results showed that, including coupling effects, the capacitances on insulating substrates are lower only at large Iinewidths, but become comparable to values on silicon substrates at linewidths below 2.5 /spl mu/m. The frequency-dependent nature of inductances on silicon substrates was reviewed. The results indicated that, at frequencies where most digital integrated circuits operate, silicon substrates can be treated as a lossless medium. Hence, inductances on silicon substrates can be calculated by the same means as on insulating substrates. The propagation delay of an interconnection resulting from using different substrates was also evaluated. It can be shown that for VLSI development the choice of substrates is not nearly as critical as the problem of series resistance of an interconnection.
Analysis of transients affecting the selection of hopping rate for FH/CPFSK systems

The authors consider certain aspects of the implementation of frequency-hopped continuous-phase frequency-shift-keying (FH/CPFSK) systems. The issues considered include the selection of a hopping rate, emissions control measures and hop transient effects, and synchronization requirements. The effect of synthesizer switching transients on the emitted signal spectrum and the receiver IF signal between hops is analyzed. It is shown that the intermediate frequency filter of the receiver will reject most of the transient harmonics due to synthesizer switching and mismatches between transmitter and receiver synthesizer switching times. Consequently, guard times at the beginning and end of a hop of approximately one data-symbol period each are required to avoid corruption of the data by the phase transient. <<ETX>>
Finding events automatically in continuously sampled data streams via anomaly detection

This paper offers an approach to detecting unspecified anomalies and events in unspecified data streams. The underlying technology is spectrum independent and also does not depend on correlated pixels or other data to achieve accurate event detection and extraction in highly robust environments. The technical approach presented here uses a network of simple building-block equations to predict the non-event data and thereby present subtle sub-streams to a detection model as potential events of interest. The prediction model is automatically created from sequential observations of the data stream. Once model construction is complete, it continues to evolve as new samples are taken. Each sample value that is sufficiently different from the model's predicted value is postulated as an event. A subsequent detection model uses a simple set of rules to improve the prediction model's ability to more outliers. We review the theory of the model and its application in two demonstrations: intruder detection in a robust video scene and voice detection in a noisy audio signal. These demonstrations are coupled to a notional concept of operation that emphasizes the spectrum-independence of this approach and its integration with other processing requirements such as target recognition and tracking. The primary benefit of this technique is its ability to process large data volumes for obscured or buried information within highly active environments. The fully automated nature of this technique helps mitigate manning shortfalls typically associated with sorting through large volumes of surveillance data using trained analysts. Our approach enables an organization to perform automated cueing for these analysts so that they spend less time examining data where nothing of interest exists. This maximizes the value of skilled personnel by using them to assess data with true potential. In this way, larger data volumes could be processed in a shorter period of time leading to a higher likelihood that important events and signals will be found, analyzed, and acted upon.
A REVISED END USER COMPUTING SATISFACTION INSTRUMENT FOR THE INFORMATION ERA: AN EXPLORATORY STUDY

Advances in new information technology over the past decade have changed the end-user computing environment tremendously. This article analyzes changes in information technology and their impacts on the end-user computing environment. Doll and Torkzadeh (1988) developed an instrument for measuring end user computing satisfaction (EUCS). This research proposes that additional components including perceived system stability, perceived attractiveness of interface, perceived data security and perceived data compatibility should be included in any measurement of EUCS. The research plans to test the validity of the current and revised EUCS instrument.
Control of a container crane: fast traversing, and residual sway control from the perspective of controlling an underactuated system

In this paper the sway-control problem of a container crane is investigated. The control loop is divided into two stages. The first stage is a modified time optimal control for trolley traversing. The velocity command for trolley traversing consists of three components; a reference velocity and two feedback signals for compensating the deviations of trolley and sway angle from their desired trajectories. For trolley's exact positioning the trolley dynamics is identified via an error equation identifier structure. The second stage is a nonlinear residual sway control that starts at the end of first stage. The control design for the second stage is investigated from the perspective of controlling an underactuated system, and the control law combines the feedback linearization and variable structure control.
Scenario generator for qualitative simulation system

A qualitative simulation system has been developed for understanding the behavior of a system modeled by a structural model. In decision making, it is necessary to understand the influence flow, namely how the model derives the behavior of the concerning node in the model rather than the behavior of each node. This paper presents a mechanism of scenario generating for explaining the influence flow to the concerning node. The mechanism consists of the following processes: 1) by tracing the structural model, all paths from the input node, which triggers the initial change of the system, to the concerning node are derived, and using similarity of behavior, the influence flow to the concerning node is selected out of all paths; 2) important nodes are selected according to the type of nodes; and 3) the scenario document is generated along the selected flow using the sentence template and the word dictionary.
A Bank of Finite Memory Filters for Fault Detection and Adjusting Detection Latency

This paper proposes a new fault detection scheme using a bank of finite memory filters for discrete-time dynamic systems with multiple sensors. In the proposed scheme, fault detection is carried out by testing the consistency of two filtered estimates, which are obtained from the primary estimation filter and the auxiliary estimation filter using a bank of finite memory filters, respectively. Detection latency is considered as one of important performance criteria and focus on the improvement of detection latency even for high threshold value. Through extensive computer simulations for the F-404 engine system, it is shown that detection latency can be adjusted by the window length. Simulation results show that the trade-off between the fast detection performance and the noise-suppressing estimation performance should be needed for the proposed fault detection scheme in real applications.
Symptom Frequency, Intensity, and Distress in Patients with Lower Limb Lymphedema.

BACKGROUND Patients with lower limb lymphedema experience symptoms of pain, swelling, tightness, and heaviness in their legs. Less is known of the intensity and distress associated with these symptoms. This study sought to identify and compare the symptoms and the level of intensity and distress associated with symptoms by type of lymphatic disruption. METHODS AND RESULTS A cross-sectional design was used. Patients completed an online survey that included: a demographic form, the Lymphedema Symptom Intensity and Distress Survey-Leg, and an open-ended question. The most prevalent symptoms were swelling, concerns about looks, heaviness, tightness, fatigue, and reduced physical activity. Statistically significant differences were found among groups in coldness in legs (χ(2) (df=3) = 9.0, p = 0.03), lack of confidence in self (χ(2) (df=3) = 10.6, p = 0.014), and feeling less sexually attractive (χ(2) (df=6) = 12.6, p = 0.049). Group differences were also observed in the intensity of heaviness (χ(2) (df=3) = 9.11, p = 0.03), numbness, (χ(2) (df=3) = 10.66, p = 0.014), achiness (χ(2) (df=3) = 12.40, p = 0.006), skin flakiness (χ(2) (df=3) = 13.22, p = 0.004), and lack of interest in sex (χ(2) (df=3) = 8.95, p = 0.030). Statistically significant group differences were not found in distress related to symptoms. CONCLUSIONS Despite the number of symptoms reported by patients with lower-limb lymphedema, only a few statistically significant differences in symptoms and level of intensity were observed by type of lymphatic disruption. No statistically significant group differences were found in the distress level associated with any of the symptoms.
Gain/phase margin design with first order controllers

The problem of determining all first order controllers (C(s) = x/sub 1/s+x/sub 2//s+x/sub 3/) that stabilize a fixed plant Po(s) has been recently solved in [R.N. Tantaris et.al., Proceeding of The 10th Mediterranean Conference on Control and Automation, Lisbon, Portugal, July 9-12, 2002]. In the present paper we extend this solution to the problems of simultaneously stabilizing the continuum of plants a) KPo(s) with K lying in a prescribed interval and b) e/sup j/spl theta// Po(s) with /spl theta/ lying in a known interval. Our solution answers the question of when prescribed gain and phase margins can be attained, for the given plant, with first order controllers and when possible, gives the complete set attaining specifications. It is shown how such sets can then be used to obtain prescribed target closed loop transfer functions within specified tolerances. Examples are given for illustrations.