Miracle-dz/UniFAR-FTUs huggingface dataset:
Punctured Bit-Interleaved Coded Modulation for Mobile Satellite Communications

Fading in mobile satellite communications severely degrades the performance of data transmission. These channels are commonly modeled with non-frequency selective Rayleigh fading. For this type of channel, a new structure for a bit-interleaved coded modulation (BICM) scheme is presented and evaluated to determine its effectiveness. This scheme is referred to as punctured BICM (PBICM), in that it is based on a technique that punctures only parity bits and uses them only in the least significant bit (LSB) of a channel symbol. A trellis-coded modulation (TCM) scheme and a turbo TCM (TTCM) scheme are also discussed and evaluated for comparison with the PBICM scheme. Simulation results demonstrate that the PBICM scheme without iterative decoding is much more effective than the TCM scheme, although the TTCM scheme outperforms both, since it uses turbo decoding principles. Finally, we develop a way to decode the PBICM code through iterative principles, similar to a previously proposed approach.
Influence of service quality on consumers’ satisfaction with mobile telecommunication services in Nigeria

Using survey design, this study assessed customer satisfaction with mobile telecommunication services in Ibadan, a Nigerian municipality. A structured questionnaire, consisting of SERVQUAL dimensions of reliability, responsiveness, assurance, empathy and tangibility, was used to collect data. Convenience sampling technique was used to select 431 mobile telecommunication users to measure their satisfaction level. Collected data were analyzed using frequency and percentage distribution and Logistic Regression was used to determine if there existed any relationship between the SERVQUAL dimensions and customers’ satisfaction. Findings revealed Responsiveness, Assurance and Empathy to be significant in explaining customer satisfaction. The findings may further strengthen the position of the regulatory authorities in developing policies that will address customers’ satisfaction based on defined priorities. This study recommends that mobile operators should improve the quality of mobile services offered to customers in terms of responsiveness, assurance and empathy in order to achieve high level of customer satisfaction and brand loyalty.
Propane-1,3-diaminium bis(dihydrogenarsenate)

The title compound, (C3H12N2)[H2AsO4]2, contains a network of propane-1,3-diaminium cations and dihydrogenarsenate anions [mean As—O = 1.682 (2) A]. The crystal packing involves anion-to-anion O—H⋯O hydrogen bonds, resulting in double chains of dihydrogenarsenate tetra­hedra. Cation-to-anion N—H⋯O hydrogen bonds generate a three-dimensional overall structure. One C atom occupies a special position with twofold symmetry.
Peer Feedback: Its Quality and Students’ Perceptions as a Peer Learning Tool in Asynchronous Discussion Forums

The study examined two aspects, namely the quality of peer feedback in asynchronous discussion forum when such peer feedback is used as a formative learning tool, i.e. not for assigning grades; and students’ perceptions about the process of peer feedback. Twenty four students enrolled in higher education were involved. They were assigned two tasks. In the first task, they contributed lessons learnt about the course on the learning management system, Moodle, via the asynchronous discussion forum. Thereafter they read the comments posted by their colleagues and critiqued them.In the final task that was given at the end of the course, students wrote reflections about peer feedback process. Thus all data collected were in the form of posts. Using NVivo, the posts generated in the first task were used to examine the quality of peer feedback, while the posts generated from students’ reflection about peer feedback were used to examine students’ perceptions about peer feedback. Results indicate that peer feedback is a useful tool for formative learning as well as assessment purposes. Future research could involve a larger sample, a diverse population, and a range of other courses. DOI: http://dx.doi. org/10.11591/ijere.v2i2. 1821
The Physics of Musical Instruments

Part I: Vibrating Systems. Free and Forced Vibrations of Simple Systems. Continuous Systems in One Dimension: Strings and Bars. Two-Dimensional Systems: Membranes, Plates, and Shells. Coupled Vibrating Systems. Nonlinear Systems. - Part II: Sound Waves. Sound Waves in Air. Sound Radiation. Pipes, Horns, and Cavities. - Part III: String Instruments. Guitars and Lutes. Bowed String Instruments. Harps, Harpsicords, Clavicords, and Dulcimers. The Piano. - Part IV: Wind Instruments. Sound generation by Reed and Lip Vibrations. Lip-driven Brass Instruments. Woodwind Reed Instruments. Flutes and Flue Organ Pipes. Pipe Organs. - Part V: Percussion Instruments. Drums. Mallet Percussion Instruments. Cymbals, Gongs, Plates, and Steel Drums. Bells. - Part VI: Materials. Materials for Musical Instruments. - Name Index. - Subject Index.
MODELING AND CONTROL OF A SYNCHRONOUS GENERATOR WITH ELECTRONIC LOAD

Design and analysis of a system consisting of a variable-speed synchronous generator that supplies an active dc load (inverter) through a three-phase diode rectifier requires adequate modeling in both time and frequency domain. In particular, the system's control-loops, responsible for stability and proper impedance matching between generator and load, are difficult to design without an accurate small-signal model. A particularity of the described system is strong non-ideal operation of the diode rectifier, a consequence of the large value of generator's synchronous impedance. This non-ideal behavior influences both steady state and transient performance. This thesis presents a new, average model of the system. The average model accounts, in a detailed manner, for dynamics of generator and load, and for effects of the non-ideal operation of diode rectifier. The model is non-linear, but time continuous, and can be used for large-and small-signal analysis.
Extended fuzzy function model with stable learning methods for online system identification

The aim of the online nonlinear system identification is the accurate modeling of the current local input‐output behavior of the plant without using any prior knowledge and offline modeling phase. It is a challenging task for many intelligent systems when used for real‐time control applications. In this paper, we propose a novel computationally efficient extended fuzzy functions (EFF) model for system identification of unknown nonlinear discrete‐time systems. The main contributions are to introduce an effective quasi‐nonlinear model (EFF) and propose adaptive learning rates (ALR) for recursive least squares (RLS) and gradient‐descent (GD) methods. The asymptotic convergence of the modeling errors and boundedness of the parameters are proved by using the input‐to‐state stability (ISS) approach. Numerical simulations are performed for Box–Jenkins gas furnace system and a nonlinear dynamic system. The benefits of its accuracy, stability and simple implementation in practice indicate that EFF model is a promising technique for online identification of nonlinear systems. Copyright © 2010 John Wiley & Sons, Ltd.
Some new optimal control problems in UAV cooperative control with information flow constraints

Unmanned air vehicles (UAV) of the future will be more lethal and more autonomous than remotely piloted reconnaissance platforms in use today. Much progress has been made for UAV cooperative control among many open issues. In this paper, UAV cooperative control with information flow constraints is considered. Three different situations are investigated that represent communication of information between vehicles as a sequence of impulses, a bandwidth-limited signal, and a range-limited signal. Specially, here the communication of information between vehicles is considered as another control input so that the UAV cooperative control problem with information flow constraints can be formulated to be a series of generalized optimal control problems. Necessary conditions for these optimal controls are obtained and one simulation example is also provided.
Critical-Path Planning and Scheduling: Mathematical Basis

This paper is concerned with establishing the mathematical basis of the Critical-Path Method---a new tool for planning, scheduling, and coordinating complex engineering-type projects. The essential ingredient of the technique is a mathematical model that incorporates sequence information, durations, and costs for each component of the project. It is a special parametric linear program that, via the primal-dual algorithm, may be solved efficiently by network flow methods. Analysis of the solutions of the model enables operating personnel to answer questions concerning labor needs, budget requirements, procurement and design limitations, the effects of delays, and communication difficulties.
Intelligent Energy Management System for Virtual Power Plants

Wind power is the fastest growing renewable energy source with the highest share of power production in the Danish power system. Increasing wind power production also causes new challenges for the power system. One possibility to enable higher shares of wind power in the system is to build virtual power plants (VPPs). In this work, VPPs refer to wind power plants (WPPs) connected to an electrical battery energy storage system (BESS) which is in close proximity to the WPP, and both plants are able to participate in the Danish power market (ancillary service markets and day-ahead market). BESSs demonstrated to be suitable storage technologies that have been integrated in power systems worldwide in recent years. Such storage systems are underlying a fast development track and have improved over the past decades considerably. This makes an increase in the number of VPPs more likely in future. Potential investors in VPPs face several questions before and after an investment decision for a specific BESS is made. This work addresses the following questions: 1. Is a VPP a profitable investment and if so, which technology or combination of different technologies of BESSs and which size should be purchased? 2. Once the BESS is purchased and grid connected: When should the VPP submit bids to which power market and in what quantity? 3. Once the awards on the power market are announced and the latest wind power production forecast is available: How should the VPP be operated in order to face minimum penalty payments for imbalances due to, e.g. changes in wind power production? This thesis proposes a deterministic mixed-integer-linear-programming (MILP) formulation to address the above stated optimization problems. One generic (MILP) problem is formulated that can be used to address each of the above
Efficient K-Means Cluster Reliability on Ternary Face Recognition Using Angle Oriented Approach

One of the major difficulties in face recognition system is an in-depth pose verification problem. Face recognition is a broad area of research over the last 25 years. However, the field is highly unsolved, largely due to variations in pose, illumination and expression. In this paper, a Ternary based Angle Oriented Face Recognition algorithm is proposed. In this algorithm, the data is made into two clusters namely, Clock wise and Anti-clock wise rotations using Fuzzy method. The image is extracted using angle oriented DCT (Discrete Cosine Transform) that invokes certain normalization techniques. Face Matching is compared to the technique of k-means. Based on Image Recognition pattern, the reliability of clusters is studied using Nelson model. The experimental results are verified.
Paper Template for ParaLing'07 - Saarbrücken, Germany

This is a layout specification and template definition for the International Workshop on Paralinguistic Speech ‐ between Models and Data (ParaLing'07), which will be held in Saarbrucken, Germany, 2-3 August 2007. This template has been generated from the Interspeech 2007 templates. The format is essentially the one used for IEEE ICASSP conferences. You have to include index terms as shown below. Index Terms: speech synthesis, unit selection, joint costs
Coding of full-parallax multiview images

Autostereoscopic displays support vertical and horizontal head movements in front of the screen. Although the number of views is limited in the vertical and horizontal direction, the amount of data, which has to be stored or transmitted for these multi-view images, is huge compared to a single image. Therefore compression algorithms have to be used to remove the data redundany. In this paper, we propose a multi-level 4d-DWT to transform multi-view images. This novel approach is able to concentrate the energy of a multi-view image much better than any two-dimensional or three-dimensional transform suggested so far. Therefore much higher compression ratios can be reached. In our paper, we further focus on progressive coding of disparity maps. This approach is inevitable, because the estimated disparity map is only optimal for the target bit rate. In contrast to other approaches, a high-resolution depth map can be reconstructed at the end of the decoding process.
PARAMETERS OF AUGMENTED REALITY AND ITS USE IN EDUCATION

This article examines the issue of augmented reality and possibilities of its application in education. It briefly reports on selected results of a broader survey focused on technological, psychological, physiological and didactical aspects of the issue. It presumes that augmented reality has its unique place in technical teaching tools since it is a technological-perception concept, which in certain didactical situations creates more suitable perceptual environment than real environment itself on one hand, or virtual environment on the other. It focuses on identification of the technological-functional properties and specifics of augmented reality systems and on verification of model examples of augmented reality applications in school practice. It characterizes the course and results of empirical research project based on a descriptive case study exploring the cases of implementing selected application solutions of augmented reality into learning experience in accordance with the model of proactive action research.
Spatial Learning in Transparent Virtual Environments

Participants learned the spatial layout of a virtual building using one of two models: one with transparent walls and one with opaque walls. Learning was assessed through an object location task in which two objects from the virtual environment were presented in succession, the first object was always presented visually; the second was presented visually or acoustically. Participants judged the location of the second object relative to the first. Both accuracy and response time analyses indicated that training in the transparent model supported the formation of a survey representation of the space. Opaque training, in contrast, resulted in representations consistent with a route-based model of the space. These differences were most evident when the second object was presented acoustically, suggesting the importance of task characteristics on the determination of spatial representations.
Routing strategies in photonic networks for multiprocessor systems

The interaction of an electronic routing fabric on two optical networks, Wavelength Division Multiple Access Channel Hypercube (WMCH) and shuffle net, is studied. Electronic routing fabrics are used as an alternative to the more costly all-optical routing fabrics. Significant routing delays are introduced during multihop communication because of the speed mismatch between the optics and the electronics. Three possible routing mechanisms are described and analyzed: store-and-forward, wormhole routing, and partial wormhole routing. <<ETX>>
An Ensemble Optimization for Heart Disease Classification and Attribute Filtering

The more experience must be required for diagnosing the heart disease and it is a complex task. The Heart MRI, ECG and Stress Test etc are the numbers of medical tests are prescribed by the doctor for examining the heart disease and it is the way of tradition in the prediction of heart disease. Today world, the hidden information of the huge amount of health care data is contained by the health care industry. The effective decisions are made by means of this hidden information. For appropriate results, the advanced data mining techniques with the information which is based on the computer are used. Classification is a classic data mining task, with roots in machine learning. The classification techniques like Support Vector Machines (SVM), Naive Bayesian Theorem, Classification tree and Neural Network are used in this paper to know the classification accuracy of the techniques in the prediction of the heart disease. Feature selection methods involve generation of the subset, evaluation of each subset, criteria for stopping the search and validation procedures. The characteristics of the search method used are important with respect to the time efficiency of the feature selection methods. The following attribute filtering techniques CFS, PCA, Information gain. In this paper, we can predict that which classification algorithm can be used to predict the heart disease in earlier stage as well as the attribute filtering techniques which will be suit before the classification to reduce the dataset size and most important attributes can be selected for predicting. From this paper, we can predict that the artificial neural network and PCA filtering method will be best for predicting the heart disease using the
Middle School Hypermedia Composition: A Qualitative Case Study

During a six-month naturalistic study, the author conducted an ethnographic examination of a seventh grade hypermedia unit. Beginning with the global question, “In what ways are computers used to support the education of middle school students? ” the researcher coded and analyzed observations, interviews and projects. Three themes emerged: the seventh graders’ understanding of electronic conventions, their ability to demonstrate awareness of audience, and the curricular communication climate in the school. The fact that students were developing signifi cant compositional skills in the computer lab, went unnoticed by the literacy teachers. The potential for better and more integrated core discipline learning cannot be reached by perpetuating the traditional isolation of computer skills. This study carries implications not only for computer technology teachers but also for curriculum directors, administrators and college of education faculty members.
Create a publication database for enhancing research visibility

Abstract: In a competitive research landscape, researchers can no longer afford to just publish and hope for receiving impact. To leave a mark, researchers have to take their impact into their own hands. Researchers need to keep all of their scholarly output in a database, to share through academic social networking sites. Researchers also, should create a "permalink" for each of their publications. A "permalink" is a stable, permanent (or persistent) link to an online journal article or subscription resource, that can be accessed from any computer at any time. It is often different to the URL that appears at the top of your browser the link displayed there may be session dependent, and will only work for a particular person in a particular time period. This presentation provides guidelines on how to create a publication database for enhancing research visibility and citations. In a competitive research landscape, researchers can no longer afford to just publish and hope for receiving impact. To leave a mark, researchers have to take their impact into their own hands. Researchers need to keep all of their scholarly output in a database, to share through academic social networking sites. Researchers also, should create a "permalink" for each of their publications. A "permalink" is a stable, permanent (or persistent) link to an online journal article or subscription resource, that can be accessed from any computer at any time. It is often different to the URL that appears at the top of your browser the link displayed there may be session dependent, and will only work for a particular person in a particular time period. This presentation provides guidelines on how to create a publication database for enhancing research visibility and citations.
Fuzzy neural traffic control and forecasting

Fuzzy systems can be used to represent human knowledge. Traffic technology is a science where this property of fuzzy logic can be very well adapted because it is hard to make mathematical models due to human influences and complex connections between input parameters. One example of the use of fuzzy logic in traffic control is in highway speed control systems. The goal is to optimally use the highway. We first describe a fuzzy system for traffic flow control and incident recognition that has been in use for some time. Another example that we describe is fuzzy logic in forecasting whether a particular parking garage is full or not. We describe the input parameters and the structure of the fuzzy system. Furthermore, we show how neural networks can be used to improve the performance of the system. <<ETX>>
Analysis of on-chip spiral inductors using the distributed capacitance model

The characteristics of on-chip inductors such as the S parameter, the quality factor (Q), and the self-resonant frequency (f/sub SR/) can be determined by its series inductance, equivalent capacitance, and series resistance. In this paper, the distributed capacitance models have been developed to predict the equivalent capacitances of the on-chip spiral inductors such as planar and stacked inductor. Based on the equivalent capacitances formulas, a simple accurate methodology is proposed to build a compact model to predict the behaviors of on-chip inductors. A large amount of inductors have been implemented in 0.25-/spl mu/m and 0.35-/spl mu/m CMOS processes to demonstrate the prediction accuracy.
Big data analysis for metagenomics

Metagenomics is a rapidly growing field of research. Novel organisms are discovered at a blazing pace, and the commercial uses of these organisms are just beginning to be discovered, helped by the development of new sequencing machines, which produce massive amounts of sequencing data. This has spawned a need for effective processing and storage solutions. In this paper, we provide a short introduction to the field of metagenomics and some of the computer science challenges this field faces due to the large amount of data to be analyzed, as well as some possible tools and techniques to handle the big data challenges. We present a metagenomics pipeline developed at the University of Tromso, provide a scalability analysis showing potential problems like storage and fault tolerance, and we provide some suggestions to achieve scalability required for production use.
Mapping the Antarctic ice sheet margin and grounding zone for change detection

We have undertaken mapping of the ice sheet margin and grounding zone in East Antarctica using Landsat TM and ERS SAR images in order to establish an accurate baseline for the detection of future change. As part of this work we have implemented a computer-aided edge-following algorithm to provide an objective and consistent mechanism for analysis of different images. Accurate geocoding of the images is achieved with sparsely distributed ground control points and a transformation of the images which preserves their inherent geometric properties and internal positioning accuracy. An initial comparison with published maps has identified significant changes in several large ice shelves.