Miracle-dz/UniFAR-FTUs huggingface dataset:
Low Ranking Position Substantiation Contrivance for Wireless Sensor Networks

The information of sensors' locations is vital data for numerous requisitions in Wireless Sensor Networks (WSNs). The point when sensor nodes are deployed in adversary environments, the localization designs are susceptible to various attacks, e.g., wormhole, range enlargement attack, and etc. Therefore, sensors’ locations are not dependable and need to be verified before they can be used by location-predicated applications. Earlier verification schemes either need groupbased deployment knowledge of the sensor field, or rely upon expensive or dedicated hardware, so they cannot be used for low-cost sensor networks. In this paper, we propose a location verification system that performs location verification against malicious attacks. The verification system proposes to verify if the locations asserted by sensors are far from their factual locations beyond a certain distance. We propose probabilistic method to calculate location assurance for each sensor. They are robust against malicious attacks that are commenced throughout the verification method.
Minería de logs de una aplicación multiusuarío en línea

This project proposes to perform data mining on activity logs of an application that is linked to the data of users in a social network. The application is developed in a virtual environment and adapts the concept of "In-Game Advertising", Advertising immersed in the game in order to have a higher profile of brands and interact directly with the customer. The processing is done in a distributed way using Hadoop as a map-reduce processing platform in conjunction with Pig and cloud computing services from Amazon. The end result of this process, is a report for each brand or product, which contains basic indicators for determining the acceptability of the brand or product within the context in which the game develops. The result analysis seeks to determine the best configuration to get the reports in the most efficient and the best time possible. The structure proposed presented acceptable results, although they can be improved.
Learning visual object categories from few training examples

During visual perception of complex objects, humans fixate on salient regions of a particular object, moving their gaze from one region to another in order to gain information about that object. The Bayesian Integrate and Shift (BIAS) model is a recently proposed model for learning visual object categories that is modeled after the process of human visual perception, integrating information from within and across fixations. Previous works have described preliminary evaluations of the BIAS model and demonstrated that it can learn new object categories from only a few examples. In this thesis, we introduce and evaluate improvements to the learning algorithm, demonstrate that the model benefits from using information from fixating on multiple regions of a particular object, evaluate the limitations of the model when learning different object categories, and assess the performance of the learning algorithm when objects are partially occluded.
A Minimalist Approach to Scrambling: Evidence from Persian

This monograph provides a new analysis of so-called 'free word order' by concentrating on Persian, and is designed to contribute to the scholarship in theoretical linguistics and the study of Iranian languages. It makes available to the scholars and students in a variety of fields an analytical and in-depth analysis of a not-so-well studied language, and reveals striking parallelism between a number of genetically unrelated languages. Therefore, it provides new contributions to typological studies of natural languages and Universal Grammar.
An Introduction to English Syntax

1. Heads and modifiers 2. Constituent structure 3. Constructions 4. Word classes 5. The Lexicon 6. Clauses and sentences 7. Clauses main and subordinate 8. Clauses finite and non-finite 9. Grammatical functions 10. Syntactic linkage 11. Heads and modifiers revisited 12. Roles 13. Clauses, sentences and text 14. Grammar and semantics: aspect, tense, voice Discussion of the exercises Further reading
Aesthetic Judgment: It’s All About How Much

Making an aesthetic judgment—trying to decide which works of art are better or more valuable than others—has a long and not particularly distinguished history. The reason I say this is because although art world members (anyone either professional or amateur interested in art either for a short or long term) have freely expressed their opinions about what is good about a particular work of art, nevertheless they have had no sound or empirical justification for those opinions. As things stand today, one who contemplates making an aesthetic judgment faces something of a dilemma. On the one hand, one faces the problem of deriving aesthetic concepts from nonaesthetic concepts; this is a variation of the well-worn is/ought problem. On the other hand, one faces the problem of qualitative hedonism, which according to some critics is intellectually bankrupt. Both of these critiques of aesthetic judgment suggest that aesthetic judgment has reached an impasse, that the hope of establishing a rational foundation for the justification of aesthetic judgment is hopeless. In this article, I will first examine the dilemma, and then I will argue that there is a solution to establishing a rational foundation for aesthetic judgment; that rational foundation is to be found in the closely connected ideas of quantitative hedonism, consequentialism, and the test of time.
A 1.2GFLOPS neural network chip exhibiting fast convergence

This digital neural network chip for use as core in neural network accelerators employs a single-instruction multi-data-stream (SIMD) architecture and includes twelve 24 b floating-point processing units (PUs), a nonlinear function unit (NFU), and a control unit (CU). Each PU includes 24 b/spl times/1.28 kw local memory and communicates with its neighbor through a shift register ring. This configuration permits both feed-forward and error back propagation (BP) processes to be executed efficiently. The CU, which includes a three stage pipelined sequencer, a 24 b/spl times/1 kw instruction code memory (ICM) and a 144 b/spl times/256 w microcode memory (MCM), broadcasts network parameters (e.g. learning coefficients or temperature parameters) or addresses for local memories through a data and an address bus. Two external memory ports and a ring expansion-port permit large networks to be constructed. The external memory can be expanded by up to 768 kW using the two ports. <<ETX>>
New Ways in Statistical Methodology: From Significance Tests to Bayesian Inference

This book, with a foreword by the outstanding philosopher of science and mathematical psychologist Patrick Suppes of Stanford University, is the outgrowth of the work developed within the Groupe Mathematiques et Psychologie, a research unit of the University Rene Descartes and CNRS (the French National Center for Scientific Research). New ways in statistical methodology are presented, which complement the familiar significance tests by new methods better suited to the researchers' objectives, in the first place, Bayesian methods. In mathematical statistics, Bayesian methods have made a breakthrough in the last few years, but those developments are still ignored by the current statistical methodology and practice. The present book is really the first one to fill this gap. This book is written for a large audience of researchers, statisticians and users of statistics in behavioral and social sciences, and contains both an analysis of the attitude of researchers toward statistical inference, and concrete proposals for improving statistical practice. The statistical consulting experience of the authors is centered around psychology and covers a broad range of subjects from social sciences to biostatistics. All methods developed by the authors are implemented in software.
User Preference Based Environment Provisioning in Cloud

Background/Objectives: The main aim of this project is to check the compatibility of the web application with the cloud service composition and to build a virtual machine (Instance) for deployment and various preferences of users (User Input). Methods/Statistical Analysis: Self configurable virtual environment is designed with openstack. User can select the server configuration from the application front end. Java layer will be used to check user pefered configuration with the images available in cloud repository. Jcloud Api will be interact with openstack to configure and start the server. Application provided by the users will be automatically deployed on the cloud server configured. Cloud service providers wants the users to provide the configuration details of server and charge them according to the configuration per hour. Proposed framework request the user to enter the cost and suggest the servers available for the cost provided. Results: Proposed framework will save more cost spent on cloud Infrastructure, since the users get their servers for the cost they specify. Moreover automated application deployment in the framework makes the application deployment on the server simple and easy.
The Starburst Rule System: Language Design, Implementation, and Applications

This short paper provides an overview of the Starburst Rule System, a production rules facility integrated into the Starburst extensible database system. The rule language is based on arbitrary database state transitions rather than tupleor statement-level changes, yielding a clear and flexible execution semantics. The rule system was implemented rapidly using the extensibility features of Starburst; it is integrated into all aspects of query and transaction processing, including concurrency control, authorization, recovery, etc. Using the Starburst Rule System, we have developed a number of methods for automatically generating database rule applications, including integrity constraints, materialized views, deductive rules, and semantic heterogeneity.
An Adaptive Fuzzy Control Approach for the Robust Tracking of a MEMS Gyroscope Sensor

In this paper, a direct adaptive fuzzy control using a supervisory compensator is designed for the robust tracking of a MEMS gyroscope sensor. The parameters of the membership functions are adjusted according to the designed adaptive law for the purpose of tracking a reference trajectory. A fuzzy controller that can approximate the unknown nonlinear function and compensate the system's nonlinearities is incorporated into the adaptive control scheme in the Lyapunov framework. A supervisory compensator is adopted to guarantee the stability of the closed loop system. Numerical simulations for a MEMS angular velocity sensor are investigated in order to verify the effectiveness of the proposed adaptive fuzzy control scheme and show that the system using the designed fuzzy controller with a supervisory compensator has better tracking performance and robustness than that using only a fuzzy control without a supervisory compensator in the presence of external disturbances.
Application Specific DWDM System Optimization for High Speed Transmission

The tremendous growth of the field of telecommunication has created increasing demand on high capacity optical communication networks. Wavelengthdivision multiplexing (WDM) techniques provide many advantages for building high capacity optical networks. Dense Wavelength Division Multiplexing (DWDM) has the same concept as WDM but the spacing between the channels in DWDM is closer than does in WDM. To satisfy the ever increasing traffic demand, and to utilize the available fiber bandwidth, a valid approach for improving the transmission capacity is to scale WDM channel spacing to high dense dimensions so as to meet the application requirements. Therefore an iterative analysis is done in this paper to obtain an optimized DWDM system in terms of data rate, channel spacing and number of channels. The simulation results have shown that the minimum channel spacing for 20 Gbps, 32 channel system need to be not less than 0.35 nm and that for a 20 Gbps, 64 channel system it should be not less than 0.4 nm. The simulation is done using OptSim 5.3 version.
Pennsylvania StreamStats--A web-based application for obtaining water-resource-related information

StreamStats is a national web-based Geographic Information System (GIS) application, developed by the U.S. Geological Survey (USGS), in cooperation with Environmental Systems Research Institute, Inc., to provide a variety of water-resourcerelated information. Users can easily obtain descriptive information, basin characteristics, and streamflow statistics for USGS streamgages and ungaged stream locations throughout Pennsylvania. StreamStats also allows users to search upstream and (or) downstream from user-selected points to identify locations of and obtain information for water-resource-related activities, such as dams and streamgages. StreamStats is implemented on a state-by-state basis to allow individual states to customize the data development and underlying data sets to address their specific needs, issues, and objectives. Pennsylvania StreamStats (fig. 1), developed in cooperation with the Pennsylvania Department of Environmental Protection, Federal Emergency Management Agency, Pennsylvania State Association of Township Supervisors, and Susquehanna River Basin Commission, can be accessed through the national StreamStats web-page portal at http://streamstats.usgs. gov. Links are provided from this web page to individual state applications, instructions for using StreamStats, definitions of basin characteristics and streamflow statistics, and other supporting information. Currently (2010), the following functions are available on Pennsylvania StreamStats (not inclusive):
Comparison Of Media Scaling Techniques For Real-Time Packet Video Transport

Scaling is a techniquc that allows for the dynamic adjustment of media s t r m s like variablc-bit-rate video to the currently available network capacity. Prcrcquisite for scaling is media scaling, i.e. a techniquc to adjust thc bandwidth of a media stream. In this paper wc analysc and compare different media scaling mechanisms for vidco transmission. The goal is a scheme that allows for rapid adaptation of thc bandwidth to a given continously changing value. Simultancosly thc optimiration of the video quality is achieved.
A low leakage single supply level shifter design for Multi Voltage Systems

In multiple supply voltage systems, while connecting a circuit working at lower supply voltage to a circuit using higher supply voltage, it is necessary to insert a level shifter circuit at each low to high boundary to make sure that it will not consume more power due to static current. In this paper, an improved single supply level shifter with low leakage and faster discharge time has been proposed. This circuit is capable of shifting a lower voltage level to a higher one by negligible amount of leakage current. Moreover, the use of single supply rail reduces the number of I/O pins by making use of lesser supply pins if the transfer is between different chips running on different supply voltages and it also notably reduces power supply routing and hence overall layout congestion by reducing one extra power supply rail used by the conventional level shifter. This circuit is designed in CMOS 90nm technology with standard threshold devices and simulation work was carried out with SPICE. The proposed circuit was capable of shifting 1V to 1.4V with a maximum frequency of 1GHz. Rigorous simulation has been carried out to validate the circuit under process and temperature variations.
Performance Analysis of Bit Error Rate in Full-Duplex Wireless Communications with Analog Cancellation Error

Recent work has shown the full duplex transmission scheme to allow nodes to send and receive in the same frequency at the same time. In this paper, we investigate the impact of analog cancellation error on the bit error rate (BER) performance of full duplex wireless communication system. Considering the transmission delay error, amplitude error and phase error of analog cancellation, we derive the analytic BER expression of binary phase shift keying (BPSK) in additive white Gaussian noise (AWGN) channel. The analysis results show that BER generally decreases with timing and amplitude error decreases for fixed signal to interference rate (SIR). Compared with the ideal analog cancellation system, the performance loss 0.3dB when the phase error is 0.0001 degree, carrier frequency is 800MHz and SIR is 100dB.
A Link-click-concept Based Ranking Algorithm for Ranking Search Results

Personalized search is an essential research area that has main goal to determine the uncertainty of query terms. In order to enhance the relevance of search results, personalized search engines form user profiles which capture the users' personal preferences and by using those preferences find out the actual goal of the input query. By using User profile we can rank the documents in a search engine according to the query which is submitted by user. A better user profiling strategy is an important and primary component in search engine personalization. In this work, we propose a scheme that supports mining a user's conceptual preferences from users' click through data resulted from web search. This discovered preference is helpful to adapt a search engine's ranking function. In the system, an absolute set of conceptual preferences is derived for a user such as the concepts extracted from the search results and the click through data. After that, a Concept-based User Profile (CUP) in other words a concept ontology tree is generated. Our system proposes a novel approach such as Link-Click-Concept based Ranking Algorithm. The proposed system considers the concept for the user profile construction and has high efficiency than the existing system.
Projection‐type integral 3‐D display with distortion compensation

Abstract— Our research is aimed at developing a spatial‐imaging‐type integral three‐dimensional (3‐D) display based on an integral photography method using an extremely high‐resolution projector. One problem with the projection‐type integral 3‐D display is that geometrical distortion in projected elemental images causes spatial deformation of the displayed 3‐D image. In this study, a general relationship between the geometric distortion of elemental images and the spatial deformation of reconstructed 3‐D images were analyzed. A projection‐type integral 3‐D display with a distortion compensator which corrects the geometrical distortions of projected images in real‐time have been developed. The deformation of the displayed 3‐D images was significantly reduced by the distortion compensation, and the displayed 3‐D images had a resolution of 182 (H) × 140 (V) pixels and a viewing angle of 24.5°.
Learning Style Classification Based on Student's Behavior in Moodle Learning Management System

In learning field, each student has his own learning style that affects his way of get, process, understand and percept information. Determining the learning style of students enhances the performance of learning process. Two methods are commonly used to acquire student's learning style: static by questionnaire and dynamic by tracing student's navigation on e-learning environment. In this paper, a new approach to classify students dynamically depending on their learning style was proposed. This approach was experimented on 35 students for Data Structure online course created using Moodle. By extracting students' behavior, data from Moodle log, the learning style for each student was identified according to Felder and Silverman model. Also, learning style based on the behavior have been compared with a quiz results conducted at the end of the course. Receiver operating characteristic (ROC) curve have been used to evaluate the quality of classification results comparing with quiz results. Good results with average accuracy of 76% are achieved. Students' data have been divided into four training and testing sets with different splitting ratio. Different testing accuracy values are obtained for the different ratios using each dimension of Felder-Silverman learning style model (FSLSM).
User‐controlled design and collaboration

At the heart of a user‐centered system for studying, practicing, creating, and teaching engineering design; in collaboration with instructors and other students and across a fiber‐optic network; and with access to extensive and ever‐expanding sets of digitally stored databases is a user notebook. This article describes the notebook under development, argues the specific attributes of its various tools for the single user to command, and illustrates the anticipated use of the notebook as the center of a computer “creation‐station. ”
Frustum Casting for Progressive, Interactive Rendering

Efficient visible surface determination algorithms have long been a fundamental goal of computer graphics. We discuss the well-known ray casting problem: given a geometric scene description, a synthetic camera, and a viewport which discretizes the camera film plane into pixels, ray casting identifies the visible surface at each pixel, i.e., that scene primitive which is first encountered by an eye ray directed through the pixel center. Interactive rendering systems have not ordinarily been based on ray casting, due to its computational cost. Instead, the dominant method for achieving interactive rendering is hardware-assisted rasterization and depth buffering of polygons, often produced by static or dynamic tesselation of higher-level objects. Modern polygon rasterization architectures are extremely powerful, having undergone an extensive development path. Several trends indicate, however, that alternatives to polygon rasterization and depth buffering deserve examination in the design of future interactive rendering systems. The first trend is the number and breadth of proposed algorithmic and hardware methods to lessen transformation, rasterizer and depth buffer load while viewing models of high complexity. A second, related trend is that geometric models are, increasingly often, larger than ordinary physical memories, lending greater importance to memory coherence considerations. Finally, general purpose processors have grown very powerful, enabling flexible, dynamic retargeting of computational resources to differing subtasks while maintaining responsiveness. A rendering system based on such processors could have significant advantages over dedicated hardware. In light of the above, we explored an alternative, general rendering architecture based on ray casting. In seeking to build an interactive software ray caster, we studied existing visible surface algorithms. Combining three such algorithms, we synthesized frustum casting, a novel algorithm for per-pixel visible surface identification in general scenes. The algorithm samples discretely, but operates in object space, and is exact and efficient. We demonstrate a prototype software renderer based on frustum casting, which achieves interactivity through ``just-in-time'''' sampling, and progressive image improvement through deferral of intersection and shading operations. Frustum casting well addresses the technological trends listed above. We believe that it and other ray-based rendering methods may be practically incorporable by designers of future high-performance rendering architectures.