Miracle-dz/UniFAR-FTUs huggingface dataset:
Study and optimization of 2D matrix arrays for 3D ultrasound imaging

3D Ultrasound imaging is a fast-growing medical imaging modality. In addition to its numerous advantages (low cost, non-ionizing beam, portability) it allows to represent the anatomical structures in their natural form that is always three-dimensional. The relativelyslow mechanical scanning probes tend to be replaced by two-dimensional matrix arrays that are an extension in both lateral and elevation directions of the conventional 1D probe. This2D positioning of the elements allows the ultrasonic beam steering in the whole space. Usually, the piezoelectric elements of a 2D array probe are aligned on a regular grid and spaced out of a distance (the pitch) subject to the space sampling law (inter-element distancemust be shorter than a mid-wavelength) to limit the impact of grating lobes. This physical constraint leads to a multitude of small elements. The equivalent in 2D of a 1D probe of 128elements contains 128x128 = 16,384 elements. Connecting such a high number of elements is a real technical challenge as the number of channels in current ultrasound scanners rarely exceeds 256. The proposed solutions to control this type of probe implement multiplexing or elements number reduction techniques, generally using random selection approaches (« spars earray »). These methods suffer from low signal to noise ratio due to the energy loss linked to the small number of active elements. In order to limit the loss of performance, optimization remains the best solution. The first contribution of this thesis is an extension of the « sparse array » technique combined with an optimization method based on the simulated annealing algorithm. The proposed optimization reduces the required active element number according to the expected characteristics of the ultrasound beam and permits limiting the energy loss compared to the initial dense array probe.The second contribution is a completely new approach adopting a non-grid positioningof the elements to remove the grating lobes and to overstep the spatial sampling constraint. This new strategy allows the use of larger elements leading to a small number of necessaryelements for the same probe surface. The active surface of the array is maximized, whichresults in a greater output energy and thus a higher sensitivity. It also allows a greater scansector as the grating lobes are very small relative to the main lobe. The random choice of the position of the elements and their apodization (or weighting coefficient) is optimized by the simulated annealing.The proposed methods are systematically compared to the dense array by performing simulations under realistic conditions. These simulations show a real potential of the developed techniques for 3D imaging.A 2D probe of 8x24 = 192 elements was manufactured by Vermon (Vermon SA, Tours,France) to test the proposed methods in an experimental setting. The comparison between simulation and experimental results validate the proposed methods and prove their feasibility.
Klasifikasi Dokumen Teks Menggunakan Metode Support Vector Machine dengan Pemilihan Fitur Chi-Square.

ARINI DARIBTI PUTRI. Text Document Classification Using Support Vector Machine Method with Chi-Square Feature Selection. Supervised by JULIO ADISANTOSO. Increasing number of documents makes people more difficult to obtain the information which they desired. This problem requires text processing techniques to organize the documents in accordance with the categories. One of which is text classification. Text classification can organize document in accordance with predefined categories automatically (supervised machine learning). One popular method of text classification is support vector machines (SVM) that tries to find the best hyperplane in the input space. This algorithm is the best classification algorithm compared with other vector space classification method, namely Rocchio, k-nearest neighbor (KNN) and decision tree. This research measures the suitability of SVM for text classification and to prove whether the SVM is able to classify the documents in a linear separable manner. The final result shows that linear kernel and polynomial kernel in the SVM test produce the same accuracy value of 96.3504% and testing the RBF kernel produces accuracy of 95.6204% for classification of text documents using chi-squared feature selection.
A Comparative Study on Between Mongolian Stop Words and English Stop Words

In this paper,we initially set the Mongolian stop words with the union entropy algorithm(union entropy,UE),and then remove Mongolian entities nouns and homographs from Mongolian stop words.finally we compare the parts of speech of English stop words and Mongolian stop wordsto determine the Mongolian stopword list.We test the Mongolian stopword list and the English stopword list on document information retrieval task.The results show that the method used in this paper to determine the Mongolian stopword list has higher accuracy in Mongolian document retrieval than the simple translation English stop words into Mongolian.
Wireless Systems Applied to e-Health: Radio-Planning, Energy Efficiency, and System Integration

In this chapter, the impact of radio-planning strategies, transceiver electronic design, and overall wireless system planning will be discussed. By following a complete approach, from physical layer limitations derived from radiopropagation losses to transceiver requirements and the functional elements of the overall wireless system, performance of such wireless systems applied in e-health environments is increased. The ContEntS Introduction 226 Characterization of Radio Wave Propagation 227 Wireless Systems Design for Health Monitoring 233 System Architecture 234 Analog Front-End 235 Analog-to-Digital Conversion 237 Low-Power Receivers 238 Low-IF Receiver 239 Zero-IF Receiver 240 Examples of Wireless Systems Applied to AAL 241 HOLTIN Service 242 Technological Platform 243 Functional Description 244 Alarm Notifications and Messages 245 Standardization in uHealth Services 246 ISO/IEEE 11073 Standard for Personal Medical Devices 246 Implementation in Wearable Medical Devices 248 Integration of AAL in the Home Environment 249 Building Energy Management Systems 250 Home Care Systems 250 Sensor Network 252 Impact of BEMSs and HCSs in Assisted Living 253 Conclusions 256 References 256 © 2015 by Taylor & Francis Group, LLC 226 Ambient Assisted Living fundamental loss mechanisms for radiopropagation will be described, as well as the models employed to analyze them. The elements of transceiver architecture and the challenges in order to reduce power consumption will be described. The practical example of a functional wireless HOLTIN system is described, as well as the main trends in building automation technologies, giving a complete overview of the elements within wireless systems applied to e-health scenarios. KEy WordS: wireless systems, wireless body area networks, radioplanning, energy efficient electronics.
Penggunaan rangka kepermimpinan pengetua di Johor

Kepemimpinan pengetua merupakan elemen penting dalam menentukan keberkesanan sekolah sejajar dengan peranan pengetua sebagai pentadbir, pengurus dun berakauntibiliti terhadap kejayaan sekolah khasnya di bl.dang akademik dun ko-kurikulum. Tujuan utama kajian ialah mengkaji orientasi kepemimpinan pengetua di negeri Johor. Secara spesiflknya, kajian kualitatif Lelah dirangka untuk mengenal pasti penggunaan rangka kepemimpinan utama pengetua ketika mengurus dun mentadbir berdasarkan kepada jenis sekolah. Kajian ini menggunakan model rangka kepemimpinan oleh Holman dun Deal (1992, 1997) yang terdiri rangka kepemimpinan struktural, rangka kepemimpinan sumber manusia, rangka kepemimpinan simbolik dun rangka kepemimpinan politik. Seramai 6 orang pengetua dart. 35 buah sekolah mewakili enam jenis sekolah iaitu Sekolah Menengah Teknik, Sekolah Berasrama Penuh, Sekolah Menengah Kebangsaan Agama, Sekolah Menengah Kebangsaan Bandar, Sekolah Sukan Malaysia dun Sekolah Menengah Kebangsaan Luar Bandar Lelah ditemu bual dun dicerap untuk mendapatkan gambaran bagaimana rangka kepemimpinan yang dilaksanakan dun digunakan ketika mentadbir, memimpin dun menguruskan sekolah. Penganalisisan data menggunakan pakej NUDI*ST dun penentuan kebolehpercayaan data dilaksanakan dengan menggunakan m.lai pekali persetujuan Kappa Cohen. Dapatan kajian mendapati pengetua menggunakan semua empat rangka kepemimpinan ketika menguruskan sekolah berdasarkan situasi namun rangka kepemimpinan digunakan datum keperluan dun konteks yang berbeza-beza. Akhir sekali, pengetua haruslah menggunakan orientasi kepemimpinan yang sesuai dengan jenis sekolah yang dipimpin datum usaha melahirkan guru yang berkomitmen tinggi dun dinamik.
Summary of the Honeynet and Entrapment Defense Technology

This paper provides an examination of an emerging class of security mechanisms often referred to as networked trap and entrapment, honeypot or honeynet, gives an overview of the various technologies and application mode, analyses their suitability within various network environments, discusses the networked trap and entrapment systems advantages and disadvantages, including the outlook of the future.
FORMULATION AND SOLUTION OF A MULTI-COMMODITY, MULTI-MODAL NETWORK FLOW MODEL FOR DISASTER

This paper presents a formulation and two solution methods for a very complex logistical problem in disaster relief management. The problem to be addressed is a large-scale multi-commodity, multi-modal network flow problem with time windows. Due to the nature of this problem, the size of the optimization model which results from its formulation grows extremely rapidly as the number of modes and/or commodities increase. The formulation of the problem is based on the concept of a time-space network. Two heuristic algorithms are proposed. One is a heuristic which exploits an inherent network structure of the problem with a set of side constraints and the other is an interactive fix-and-run heuristic. The findings of the model implementation are also presented using artificially generated data sets.
Hybrid PSO-ACO technique to solve multi-constraint economic load dispatch problems for 6-generator system

Abstract This paper presents a new hybrid soft computing approach in solving typical economic load dispatch (ELD) problem by combining two widely used meta-heuristic techniques, namely particle swarm optimization (PSO) and ant colony optimization (ACO). Though PSO has been popularly used in ELD problems for its flexibility, robustness, and fast convergence, it often produces not so good solution due to premature convergence to local optima. ACO, on the other hand, popular for its good global exploration feature, strikes a fine balance between local and global search for optimum solution when combined with PSO. This aspect has been exploited for the first time by applying a customized combination of PSO and ACO in finding solution for both convex and non-convex ELD problems with smooth and non-smooth cost functions (i.e. with and without valve-point loading) and multiple constraints like generator capacity, transmission loss, ramp rate limits, and prohibited operating zones. This paper showcases the results of different test cases for the proposed approach implemented in a simulated 6-generator thermal power system; the results validate the effectiveness and superiority of PSO–ACO when compared with few other hybrid approaches and pure PSO and ACO approaches under similar test conditions. Considering the quality of solution including convergence characteristics, power loss, and total generation cost, PSO–ACO emerges as a viable alternative for solving ELD problems in a real power generation scenario.
REVIEW PAPER ON BIG DATA USING HADOOP

Big data is a combination of big and complex data sets that have the vast volume of data, social media analytics, data management efficiency, real-time data. Big data analytics is the procedure of study huge amounts of data. Big Data is represent by the dimensions volume, variety, velocity and veracity . For big data processing there is a method which is called Hadoop which uses the map reduce paradigm to process the data.
Modern electric, hybrid electric, and fuel cell vehicles : fundamentals, theory, and design

Environmental Impact and History of Modern Transportation Air Pollution Global Warming Petroleum Resources Induced Costs Importance of Different Transportation Development Strategies to Future Oil Supply History of EVs History of HEVs History of Fuel Cell Vehicles Fundamentals of Vehicle Propulsion and Brake General Description of Vehicle Movement Vehicle Resistance Dynamic Equation Tire-Ground Adhesion and Maximum Tractive Effort Power Train Tractive Effort and Vehicle Speed Vehicle Power Plant and Transmission Characteristics Vehicle Performance Operating Fuel Economy Brake Performance Internal Combustion Engines 4S, Spark-Ignited IC Engines 4S, Compression-Ignition IC Engines 2S Engines Wankel Rotary Engines Stirling Engines Gas Turbine Engines Quasi-Isothermal Brayton Cycle Engines Electric Vehicles Configurations of EVs Performance of EVs Tractive Effort in Normal Driving Energy Consumption Hybrid Electric Vehicles Concept of Hybrid Electric Drive Trains Architectures of Hybrid Electric Drive Trains Electric Propulsion Systems DC Motor Drives Induction Motor Drives Permanent Magnetic BLDC Motor Drives SRM Drives Design Principle of Series (Electrical Coupling) Hybrid Electric Drive Train Operation Patterns Control Strategies Design Principles of a Series (Electrical Coupling) Hybrid Drive Train Design Example Parallel (Mechanically Coupled) Hybrid Electric Drive Train Design Drive Train Configuration and Design Objectives Control Strategies Parametric Design of a Drive Train Simulations Design and Control Methodology of Series-Parallel (Torque and Speed Coupling) Hybrid Drive Train Drive Train Configuration Drive Train Control Methodology Drive Train Parameters Design Simulation of an Example Vehicle Design and Control Principles of Plug-In Hybrid Electric Vehicles Statistics of Daily Driving Distance Energy Management Strategy Energy Storage Design Mild Hybrid Electric Drive Train Design Energy Consumed in Braking and Transmission Parallel Mild Hybrid Electric Drive Train Series-Parallel Mild Hybrid Electric Drive Train Peaking Power Sources and Energy Storages Electrochemical Batteries Ultracapacitors Ultra-High-Speed Flywheels Hybridization of Energy Storages Fundamentals of Regenerative Breaking Braking Energy Consumed in Urban Driving Braking Energy versus Vehicle Speed Braking Energy versus Braking Power Braking Power versus Vehicle Speed Braking Energy versus Vehicle Deceleration Rate Braking Energy on Front and Rear Axles Brake System of EV, HEV, and FCV Fuel Cells Operating Principles of Fuel Cells Electrode Potential and Current-Voltage Curve Fuel and Oxidant Consumption Fuel Cell System Characteristics Fuel Cell Technologies Fuel Supply Non-Hydrogen Fuel Cells Fuel Cell Hybrid Electric Drive Train Design Configuration Control Strategy Parametric Design Design Example Design of Series Hybrid Drive Train for Off-Road Vehicles Motion Resistance Tracked Series Hybrid Vehicle Drive Train Architecture Parametric Design of the Drive Train Engine/Generator Power Design Power and Energy Design of Energy Storage Appendices Index
Autonomous Mobile Robots

Mobile robots range from the teleoperated Sojourner on the Mars Pathfinder mission to cleaning robots in the Paris Metro. Introduction to Autonomous Mobile Robots offers students and other interested readers an overview of the technology of mobility—the mechanisms that allow a mobile robot to move through a real world environment to perform its tasks—including locomotion, sensing, localization, and motion planning. It discusses all facets of mobile robotics, including hardware design, wheel design, kinematics analysis, sensors and perception, localization, mapping, and robot control architectures. The design of any successful robot involves the integration of many different disciplines, among them kinematics, signal analysis, information theory, artificial intelligence, and probability theory. Reflecting this, the book presents the techniques and technology that enable mobility in a series of interacting modules. Each chapter covers a different aspect of mobility, as the book moves from lowlevel to high-level details. The first two chapters explore low-level locomotory ability, examining robots’ wheels and legs and the principles of kinematics. This is followed by an in-depth view of perception, including descriptions of many “offthe-shelf” sensors and an analysis of the interpretation of sensed data. The final two chapters consider the higher-level challenges of localization and cognition, discussing successful localization strategies, autonomous mapping, and navigation competence. Bringing together all aspects of mobile robotics into one volume, Introduction to Autonomous Mobile Robots can serve as a textbook for coursework or a working tool for beginners in the field.
Realism or non-realism: Design of learning spaces in Second Life

The designs of learning spaces in 3D virtual worlds such as Second Life can have widely different degrees of visual realism. For example, it could be a replica of a university’s real-life campus or a fantasy space with undersea areas and airships. At the Open University in the UK, we are investigating the relationship between the visual realism of the learning space design, design of pedagogical activities, and learner engagement. In this presentation, based on our empirical research involving educators, designers and students, we will present key guiding principles for designing learning spaces in 3D virtual worlds and specifically the issues of realism and fantasy that need to be considered. We hope that the guidance and recommendations from our research will support educators and designers to design learning spaces that foster students’ socialisation, informal learning, collaboration, and creativity.
Design of Cost-Efficient Interconnect Processing Units

Written by leading experts in the field, Design of Cost-Efficient Interconnect Processing Units: Spidergon STNoC comprehensively examines the current state-of-the-art and future trends in multiprocessor system-on-chip (MPSoC), in particular network-on-chip (NoC) design. Incorporating simple methods with easy-to-understand examples, this book considers a wealth of important theoretical and practical topics, such as technological deep sub-micron effects, generic NoC components, topological properties, embeddings of common communication patterns, and system-level design. A complementary CD-ROM features a practical NoC training approach based on the award-winning OCCN environment.
Application of modified current-mode one-cycle control in a linear-assisted DC/DC regulator

Linear-assisted DC/DC converters are structures that allow to take advantages of the two classic alternatives in the design of power supply systems: Voltage linear regulators (classic NPN topology or LDO -low dropout-) and switching DC/DC converters. This paper shows the proposal of a modified current-mode one-cycle control for linear-assisted DC/DC converters. The modified current-mode one-cycle control technique is proposed in order to obtain the duty cycle of the linear-assisted converter switch. The proposed structure can provide an output with suitable load and line regulations. The paper shows the design of the proposed modified current-mode one-cycle linear-assisted regulator and simulation results that validate the aforementioned proposal.
A QoS-Guaranteed and Distributed Model for Web Service Discovery

How to dynamically select,bind and invoke Web service that can best meet the requirements of service consumer is an ongoing research topic in Web services community.In this paper,a QoS-Guaranteed and distributed mechanism of Web service discovery is proposed,which supports Web service discovery with QoS constraints and enhances the QoS of service discovery system.First,a novel three-dimensional QoS model of Web service is introduced,and a Web service-selecting algorithm is proposed based on the novel model.Second,the implementation model of UDDI(universal description,discovery,and integration)specification is improved by integrating the service-selecting algorithm based on QoS constraints.Third,an unstructured peer-to-peer network of UDDI with an informed routing protocol based on Bloom Filters is proposed,and an extended Kautz graph is used as the logical topology of this network.The experimental results show that the new mechanism for Web service discovery possesses higher recall rate,query response rate,and better load balance.Furthermore,the results for QoS of the selected Web service can satisfy the requirements of service consumers.
Physical-Layer Key Generation Supported by RECAP Antenna Structures

—Physical-layer key generation makes use of the reciprocity of wireless time-division duplex (TDD) channels. Both transmission directions experience the same channel, apart from independent noise and quantization effects. The randomness of a mobile channel ensures a certain regeneration rate of keys. Reconﬁgurable antennas, so-called RECAPs, offer a possibility to also provide randomness in the extreme case when both transmitter and receiver are not moving, even have a line-of-sight connection. RECAP structures and the steps for obtaining a reliably identical and secure key on both sides are discussed.
Design and Implementation of Non-stop Toll Collection System for Parking Lot Based on Mobile Intelligent Terminal

This paper firstly discusses the low efficiency of current toll collection ways, then leads to a non-stop toll collection system and describes its architecture, after that the paper introduces the non-stop toll collection system in detail, and shows how the reliability and robustness of this system is ensured. Also, the test cases are showed, from which we can draw conclusion that this toll collection system can apparently improve the efficiency of current intelligent parking lot systems.
The Clustering of Large Scale E-Learning Resources

With the pervasion of the Internet, e-learning is more and more popular, which provides a brand new way for people to learn without attending face-to-face class. With e-learning, the student and the teacher use online technology to interact, which profits from a combination of techniques including computer networks, multimedia, content portals, digital libraries, search engines, etc. The worldwide e-learning industry is estimated to be worth over 38 billion euros according to conservative estimates. With the prevalence of e-learning, the amount of learning resources also grows exponentially, which makes it not feasible to access them only by clicking links. Thereby, an effective ABSTRACT
LA TEORÍA DE LOS CONJUNTOS APROXIMADOS PARA EL DESCUBRIMIENTO DE CONOCIMIENTO

La Teoria de los Conjuntos Aproximados (RST) abrio una nueva direccion en el desarrollo de teorias sobre la informacion incompleta y es una poderosa herramienta para el analisis de datos. En esta investigacion se demuestra la posibilidad de usar esta teoria para generar conocimiento a priori sobre un conjunto de datos. Se desarrolla una propuesta para caracterizar a priori conjuntos de entrenamiento, usando medidas de estimacion de la RST. La propuesta ha sido estudiada experimentalmente usando bases de datos internacionales y se han obtenido resultados satisfactorios.