Miracle-dz/UniFAR-FTUs huggingface dataset:
Enhanced pid vs model predictive control applied to bldc motor

BrushLess Direct Current (BLDC) motor is a multivariable and highly complex nonlinear system. Variation of internal parameter values with environment or reference signal increases the difficulty in controlling the BLDC effectively. Advanced control strategies (like model predictive control) often have to be integrated to satisfy the control desires. Enhancing or proper tuning of a conventional algorithm results in achieving the desired performance. This paper presents a performance comparison of Enhanced PID and Model Predictive Control (MPC) applied to brushless direct current motor. The simulation results demonstrated that the PSO-PID is slightly better than the PID and MPC in tracking the trajectory of the reference signal. The proposed scheme could be useful algorithms for the system.
AN INTEGRATED EVADER DEFENDANT SCHEME FOR CLIENT CERTIFICATION PROCESS

Graphical passwords are knowledge-based authentication mechanisms where users enter a shared secret as evidence of their identity. Graphical passwords are composed with images and sketches with human memory for visual information. Improved password memorability and strength against guessing attacks are the key benefits of graphical password schemes. Captcha as graphical passwords (CaRP) is a graphical password scheme used for user authentication. CaRP is click-based graphical password where a sequence of clicks on an image is used to derive a password. Dynamic captcha challenge image is used for each login attempt in CaRP. Text Captcha and image-recognition Captcha are used in CaRP scheme. CaRP schemes can be classified into two categories as recognition based CaRP and recognition-recall based CaRP. Recognition-based CaRP seems to have access to an infinite number of different visual objects. Recognition-recall based CaRP requires recognizing an image and using the recognized objects as cues to enter a password. Recognition-recall combines the tasks of both recognition and cued-recall. Password information is transferred and verified using hash codes. Secure channels between clients and the authentication server through is Transport Layer Security (TLS). The CaRP scheme is enhanced with strength analysis and security features.
Evaluation of wind vectors observed by QuikSCAT/SeaWinds using ocean buoy data

Wind vectors observed by QuikSCAT/SeaWinds are compared with wind and wave data from offshore moored buoys. Effects of oceanographic and atmospheric parameters on the scatterometry are also assessed by using the buoy data. The QuikSCAT/SeaWinds Standard Wind Data Products (Level 2B) were collocated with the Japan Meteorological Agency (JMA), National Data Buoy Center (NDBC), and Tropical Atmosphere Ocean (TAO) buoys. Only buoys located offshore and in deep water were selected. Temporal difference and spatial separation between the QuikSCAT/SeaWinds and buoy observations were limited to less than 30 min and 25 km. Wind speeds measured by the buoys at various height above the sea surface were corrected to equivalent neutral winds at a height of 10 m. Wind speeds and directions observed by QuikSCAT/SeaWinds agree well with the buoy data. Root-mean- squared differences of the wind speed and direction are 1.02 m/s and 22/spl deg/, respectively. Dependencies of wind speed residuals on oceanographic and atmospheric parameters observed by buoys are examined using the collocated data. Weak positive correlation of the wind speed residuals with the significant wave height is found, although no significant dependence on the sea surface temperature and atmospheric stability is discernible.
Evaluation of Naïve Bayes and J48 Learning Algorithm for Text Classification

Text mining is one of the data mining applications. One of the importance text mining techniques is automatic text classification. For text classification many methods have been proposed. In this paper we implement and evaluate two text classification methods using naive bayes and J48 algorithms under two term frequency and tfidf term weighting methods. According to results, the J48 method has better performance than naive bayes in term frequency and tfidf term weighting methods. Also according to results tfidf has better performance than term frequency method in text classification. Selecting a good learning method and also term weighting method can improve final performance of text classification.
Combined Intelligent Control (CIC) an Intelligent Decision Making Algorithm

The focus of this research is to introduce the concept of combined intelligent control (CIC) as an effective architecture for decision-making and control of intelligent agents and multi-robot sets. Basically, the CIC is a combination of various architectures and methods from fields such as artificial intelligence, Distributed Artificial Intelligence (DAI), control and biological computing. Although any intelligent architecture may be very effective for some specific applications, it could be less for others. Therefore, CIC combines and arranges them in a way that the strengths of any approach cover the weaknesses of others. In this paper first, we introduce some intelligent architectures from a new aspect. Afterward, we offer the CIC by combining them. CIC has been executed in a multi-agent set. In this set, robots must cooperate to perform some various tasks in a complex and nondeterministic environment with a low sensory feedback and relationship. In order to investigate, improve, and correct the combined intelligent control method, simulation software has been designed which will be presented and considered. To show the ability of the CIC algorithm as a distributed architecture, a central algorithm is designed and compared with the CIC.
New techniques for visualization of losses due to image compression in grayscale medical still images

To evaluate the visual influence of irreversible compression on medical images, changes of the images have to be visualized. The authors have explored alternative techniques to be used instead of the usual side-by-side comparison, where the information contained in both images is perceived in a single image, preserving the context between compression errors and image structures. Thus fast and easy comparison can be done. These techniques make use of the human ability to perceive information also in the dimensions of color, space, and time. A study was performed with JPEG-compressed coronary angiographic images. Changes in the resulting images for six compression factors from 7 to 30 were scored by an observer. The results show that medically relevant changes, using the JPEG algorithm, appear between compression ratios of 7:1 and 10:1. <<ETX>>
PRECISE ANALYTICAL EXPRESSIONS FOR MECHATRONICS SYSTEMS TIME DOMAIN PERFORMANCE SPECIFICATIONS AND VERIFICATION USING MATLAB

The ultimate goal of this paper is to propose accurate analytical expressions for Mechatronics systems performance specifications, that accurately reflect the actual system performance and can be used for accurate performance specification, calculations, evaluation and verification. The derived analytical expressions are intended for research purposes as well as for the application in educational process. The proposed analytical expressions were analytically derived and verified using MATLAB software, where to
THE ATTENTION SYSTEM OF THE HUMAN BRAIN

The concept of attention as central to human performance extends back to the start of experimental psychology (James 1890), yet even a few years ago, it would not have been possible to outline in even a preliminary form a functional anatomy of the human attentional system. New developments in neuroscience (Hillyard & Picton 1987, Raichle 1983, Wurtz et al 1980) have opened the study of higher cognition to physiological analysis, and have revealed a system of anatomical areas that appear to be basic to the selection of information for focal (conscious) processing. The importance of attention is its unique role in connecting the mental level of description of processes used in cognitive science with the ana­ tomical level common in neuroscience. Sperry (1988, p. 609) describes the central role that mental concepts play in understanding brain function as follows:
Browsing Help for a Faster Retrieval

In this paper, the search engine Intuition is described. It allows the user to navigate through the documents retrieved with a given query. Several "browse help" functions are provided by the engine and described here: conceptualisation, named entities, similar documents and entity visualization. They intend to "save the user's time". In order to evaluate the amount of time these features can save, an evaluation was made. It involves 6 users, 18 queries and the corpus is made of 16 years of the newspaper Le Monde. The results show that, with the different features, a user get faster to the needed information. fewer non-relevant documents are read (filtering) and more relevant documents are retrieved in less time.
IEEE Standards for Local and Metropolitan Area Networks: Specification for 802.3 Full Duplex Operation

Superseded by IEEE Std 802.3-2002 Necessary changes and additions are made to provide for an additional, full duplex mode of operation on a speed-independent basis. Changes are made to the MAC and selected Physical Layer implementations (10BASE-T, 10BASE-FL, 100BASE-T) to support full duplex. A mechanism for pause-based flow control is also added.p> Abstract 802.3y: Changes and additions to the 100BASE-T portion of IEEE Std 802.3 are provided to specify an additional 100 Mb/s transceiver type 100BASE-T, which can support full duplex operation over two pairs of Category 3 or better cabling.
Lost in Translation: Three challenges for the collection and use of data in personal informatics

As personal informatics tools grow in number, interpretation and interoperability of data will become increasingly important. In this paper, we share insights from our development of Estrellita, a medical tracking system for high-risk infants, and our ongoing research in the area of social media. We highlight three challenges relevant to the area of personal informatics: determining context, assumptions around “personal” use, and the social implications of representation.
An engineering approach to the simultaneous stabilisation and strong simultaneous stabilisation with D stability

The simultaneous stabilisation problem (SSP) and strong simultaneous stabilisation problem (SSSP) with the simple Hurwitz stability requirement are open problems in the control community. In this paper, an engineering approach for controller synthesis is presented, with an extension to the general D stability requirement rather than simply the Hurwitz stability requirement. The method developed permits the designer to specify a set of desired stable regions, joint or disjoint, in the complex root plane. A numerical algorithm is used to find the controller parameters such that all the roots of the closed-loop system are within the specified regions. The desired dynamic performance of the closed-loop system is controlled by the specification of the desired D-stable region. The advantages of this approach include: (1) The desired D stability region can be of any form. It can be connected or disjoint. This leads to a unified treatment of continuous and discrete systems, and consequently encompasses the Hurwitz and Schur stability regions as special cases. (2) The size of the family of plants may be finite and more than three, which is the upper bound with the available approaches. (3) Both the SSP and the SSSP can be dealt with in a unified way, although the SSSP is more complicated than the SSP. (4) The traditional PID controller tuning problem can be treated within this general framework. Examples which are harder than the previous results are provided to show the merits of this synthesis approach.
CRAWLING AJAX-BASED WEB APPLICATIONS: EVOLUTION AND STATE-OF-THE-ART

The innovation of AJAX resulted in more responsive, interactive and faster web applications due to the clever amalgamation of JavaScript, HTML, and Cascading Style Sheets (CSS). However, from the user ’ s perspective, this achievement places many challenges before web search engines. One major challenge is due to the complexities in crawling such web applications because multiple states are associated with one uniform resource locator (URL) that cause a mismatch with search model of web search engines, where a web document is uniquely identified by a single unique URL with a single state. Crawling AJAX-based web applications means giving strength and capability to web search engines so that information produced in these highly-interactive web applications is downloaded and indexed. The need here is to investigate the technicalities of AJAX that shatter the metaphor of a web page which the current web search engine utilize during crawling in order to improve the capabilities of web search engines. Although some academic tools have been developed, they produce some false positives which greatly affect the performance of web search engine. We aim to investigate AJAX and AJAX-based web applications as well as the state-of-the-art in crawling these applications along with some prominent issues, challenges and recommendations.
Face recognition based on dense correspondences

Face recognition under changing lighting conditions and facial expression are a challenging problem in computer vision. The variations in illumination and facial expressions can dramatically reduce the performance of face recognition. In this paper, an efficient method for face recognition which is robust under illumination and facial expressions variations. The core of the algorithm based on dense correspondence which we used is characterized by LBP and regional gradient between images. Our experiment on the AR databases and ORL face databases, ORL databases as a supplement in this framework. The results show that the proposed approach is not only efficient but also outperforms the comparative methods.
A mining algorithm for fuzzy weighted association rules

The association rule mining is an important research subject of knowledge discovery. Aiming at the common method of mining for attributes of quantitative type in database, we analyze the existing defects and put forward a method of applying fuzzy set theory to association rules mining. Due to the problem that each attribute's importance is different in specific purpose mining, we put forward a solution by assigning corresponding weight to attribute of different importance. Based on this idea, we put forward a mining algorithm using fuzzy weighted association rules and through the given experiment we testify the feasibility of the algorithm, and point out the existing defect of the algorithm demanding improvement in future.
On the SFDR performance of BJT RF circuits, an analytical approach

A simple analytical approach for nonlinear distortion in RF bipolar circuits is utilized in the evaluation of spurious free dynamic range (SFDR) in BJT circuits. Simple closed-form expressions can predict the critical bias conditions corresponding to minimum or maximum SFDR. This method is applied to low noise amplifier (LNA) and single balanced mixer (SBM) circuits to study and optimize the dynamic range. The proposed method can predict the dynamic range with less than 10% error in most cases. The validity of this technique is examined by comparing the results of SPICE simulations to the calculations of the proposed method under different operating conditions.
Analysis of the energy latency trade-off in wireless sensor networks

Wireless Sensor Networks (WSNs) haben im letzten Jahrzehnt eine erhebliche Aufmerksamkeit erlangt. Diese Netzwerke zeichnen sich durch begrenzte Energieressourcen der Sensorknoten aus. Daher ist Energieeffizienz ein wichtiges Thema in Systemdesign und -betrieb von WSNs. Diese Arbeit konzentriert sich auf grosflachige Anwendungen von WSNs wie Umwelt- oder Lebensraumuberwachung, die in der Regel den Ad-hoc-Einsatz von Knoten in grosen Anzahl erfordern. Ad-hoc-Einsatz und Budgetbeschrankungen hindern Entwickler an der Programmierung der Knoten mit zusatzlichen Informationen wie beispielsweise Routingtabellen, Positionskoordinaten, oder Netzwerkgrenzen. Um diese Informationen zu beschaffen, ist es ublich verschiedene Initialisierungsschemen mit erheblichen Auswirkungen auf den Energieverbrauch und den Programmieraufwand zu implementieren. In Anbetracht dieser Beschrankungen ist ein neues Paradigma fur die Initialisierung und den Betrieb von WSNs notwendig, das sich durch einfachen Einsatz und minimalen Energieaufwand auszeichnet. In dieser Arbeit nutzen wir Sink-Mobilitat, um den Initialisierungsoverhead und den operativen Overhead zu reduzieren. Unser erster groser Beitrag ist ein Boundary Identification Schema fur WSNs mit dem Namen "Mobile Sink based Boundary Detection" (MoSBoD). Es nutzt die Sink-Mobilitat um den Kommunikationsoverhead der Sensorknoten zu reduzieren, was zu einer Erhohung der Laufzeit des WSN fuhrt. Auserdem entstehen durch das Schema keine Einschrankungen in Bezug auf Nodeplacement, Kommunikationsmodell, oder Ortsinformationen der Knoten. Der zweite grose Beitrag ist das Congestion avoidance low Latency and Energy efficient (CaLEe) Routingprotokoll fur WSNs. CaLEe basiert auf der virtuellen Partitionierung eines Sensorsbereich in Sektoren und der diskreten Mobilitat der Sink im WSN. Unsere Simulationsergebnisse zeigen, dass CaLEe, im Vergleich zum derzeitigen State-of-the-art, nicht nur eine erhebliche Reduzierung der durchschnittlichen Energy Dissipation per Node erzielt, sondern auch eine geringere durchschnittliche End-to-End Data Latency in realistischen Szenarien erreicht. Daruber hinaus haben wir festgestellt, dass kein einziges Protokoll in der Lage ist, eine Best-Case-Losung (minimale Data Latency und minimale Energy Dissipation) fur variierende Netzwerkkonfigurationen, die beispielsweise mithilfe der Parameter Kommunikationsbereich der Nodes, Nodedichte, Durchsatz des Sensorfelds definiert werden konnen, bieten. Daher ist der dritte Hauptbeitrag dieser Arbeit die Identifikation von (auf unterschiedlichen Netzwerkkonfigurationen basierenden) „Operational Regions“, in denen einzelne Protokolle besser arbeiten als andere. Zusammenfassend kann man sagen, dass diese Dissertation das klassische Energieeffizienzproblem der WSNs (Ressource-begrenzte Knoten) aufgreift und gleichzeitig die End-to-End Data Latency auf einen annehmbaren Rahmen eingrenzt.
A digital image-rejection sub-system for low-IF receivers

This paper investigates in-phase/quadrature phase (I/Q) imbalances between the input paths of low intermediate frequency (IF) receiver. The imbalances exist along signal paths in subsystems such as the mixer and result in the image interference aliasing into the desired signal band, thus increasing the image-reject ratio (IRR) and degrading the performance of the receiver. This paper presents a new topology with digital complex sampling technique for the I/Q mismatch cancellation and gives the simulation result in MATLAB.
Algorithm Design of Global Point Cloud Registration Based on BSP Model

Registrations of multi-angle point cloud involve enormous point cloud data, complicated and heavy computation. Previous non-parallel method is strong computing resources demanding and low performance of point cloud global registration. Bulk Synchronous Parallel Computing Model (BSP) processes the data with a parallel computing method, which can be applied to huge computation such as point cloud data processing. We design a point cloud global registration algorithm base on BSP model and build a Hama parallel computing cluster with average PCs. The results of four engineering examples show that the registration algorithm base on BSP model reduces computing resources requirements, accomplishes global registration with acceptable accuracy and improves the efficiency of registration. The Hama computing cluster we built is implementation simplicity and ease of point cloud processing. The improvement thought and implementation method can extend to other point clouds processing like filters, rendering, modeling and so on.
A COMPARATIVE REVIEW OF DWT AND SURF FOR RETRIEVING IMAGE DATA ON A LARGE SCALE

The advent of digital era and advancement in the field of imaging technology has increased the amount of images present in the domain to billions. More and more images are created every moment through one source or the other. It is highly inconvenient in such a case to search for a few images of our interest. It is in such a scenario that image search algorithms gain prominence. Research is highly focused on improving the efficiency and ability of algorithms to handle large datasets as well as minimizing the time for searching a query drastically. Bag of Words model is the approach employed by almost every state of the art method. Algorithms work by detecting the most distinguishing feature in an image, representing it in compact form and matching it with features in other images. Accuracy of the result depends on how well the features are detected, extracted and matched. This paper presents two different methods for content based image retrieval: Discrete Wavelet Transform (DWT) and Speeded Up Robust Features (SURF). DWT employs decomposition of an image by wavelets while SURF represents an image in scale space by blurring and using box filters. In this paper we look into detail of how the mechanism of image search is achieved by both the methods.
Alignement d'interférence Opportuniste avec des Terminaux Multi-antennes

We describe a non-cooperative interference alignment (IA) technique which allows an opportunistic multiple input multiple output (MIMO) link to harmlessly co-exist with another (primary) MIMO link in the same frequency band. Our technique exploits the fact that the primary link is power-limited and aims to maximize its data rate by using a water-filling power allocation scheme. Hence, it is possible to find unused spatial directions which can be recycled by an opportunistic link. We provide both the signal processing scheme to perform interference alignment and the power allocation scheme which maximizes the data rate of the opportunistic link. We study the capacity of the system in the regime of large number of antennas. This analysis leads us to the conclusion that depending on the signal to noise ration (SNR) of both systems and the ratio between the transmit and receive antennas, the opportunistic transmitter might achieve data rates of the same order of the primary system.
Pragmatics as a facilitator for child syntax development

Early research on the development of children’s syntax did not include the pragmatic context in describing syntactic changes. Halliday, in a case study, was the first to make the connection of form and function. Studies of larger samples from the standpoint of communicative function, using films, were separate from studies of syntactic development. Both with pronouns and temporal and causal clauses, the pragmatic context of situation and speech acts appear to provoke or facilitate either creative new uses or advancement of skills. It is crucial to do systematic pragmatic sampling at several levels of context in studying syntactic development.