Miracle-dz/UniFAR-FTUs huggingface dataset:
A Memristor-CAM (Content Addressable Memory) Cell: New Design and Evaluation

Content addressable memory (CAM) is one kind of the associative memory; it can be used in several high-speed searching applications. In this paper, we propose a new CAM cell that employs memristors (memory resistor) as the storage element and the main part of the comparator. This presented new CAM cell involves two memristors; one is for saving the data as a storage element and the other one is used as an important part of the comparator instead of the conventional logic gate. Based on the unique characters of the memristor, we explore the new Memristor-CAM cell design to analyze the possibility to build memristor-based storage structures with lower power consumption to achieve the purpose of saving energy and decreasing the searching time.
Identifying Beginner Problems in Expressing Domain Semantics when Developing Ontologies

Ontologies as a knowledge representation method are already being applied in various areas. Therefore, this method is introduced to new developers constantly. The paper investigates possibility for overlooking ontology features that can enable users to properly represent semantics of the domain of interest. In initial research, ontology development using frames was considered and evaluation was made based on criteria connected to classes, hierarchy and attributes. Possible beginner oversights are identified. Suggestions considering chosen semantic criteria are also described.
Perceptual quality assessment of SAR image compression

Image quality assessment (IQA) is of fundamental importance for image compression applications. Traditional IQA measures for synthetic aperture radar (SAR) image compression do not consider the properties of the human visual system (HVS). Since human beings are still the final users in most SAR image applications, the objective evaluation coordinate to human perception is the most acceptable and practical IQA method. In this article, we carried out an extensive subjective quality assessment experiment in which four different SAR image compression techniques and a total of 300 test images were estimated by 100 human observers. The test result provides a straightforward comparison of these four compression methods. Then the performances of seven classical objective IQA algorithms were validated based on obtained subjective evaluations. Moreover, we propose a novel objective approach by taking into account the HVS and SAR image characteristics. Experimental results demonstrate that the proposed metric correlates well with human perception for SAR image compression.
Research on Advanced Navigation Aids System based on Augmented Reality

: Manymaritime accidentshave beencaused byhuman-error including suchthingsas inadequate watchkeeping and/or mistakesinshiphandling.Also,newnavigationalequipmenthasbeendevelopedusingITtechnologytoprovidevariousinformationfor safenavigation.Despitetheseefforts,thereductionofmaritimeaccidentshasnotoccurredtothedegreeexpectedbecause,navigational equipmentprovidestoomuchinformation,andthisinformationisnotwellorganized,suchthatusersfeelittobecomplicatedratherthan helpful. In this point ofview, the method ofrepresentation ofnavigational information is more important than the quantityofthat informationandresearchisrequiredontherepresentationofinformationtomakethatinformationmoreeasilyunderstoodandtoallow decisionstobemadecorrectlyandpromptly.Inthispaper,weadoptAugmentedReality(AR)technologiesfortherepresentationof information.ARisa3Dcomputergraphicstechnologythatblendsvirtualrealityandtherealworld. Recently,thistechnologyhasbeen widelyappliedinourdailylivesbecauseitcanprovideinformationmoreeffectivelytousers.Therefore,weproposeanewconcept,a navigationalsystembasedonARtechnology;wereviewexperimentalresultsfromaship-handlingsimulatorandfromanopenseatest toverifytheefficiencyoftheproposedsystem.
The night vision distance measurement method dedicated for mobile robots

Abstract The paper presents a vision based visual servoing system and active laser triangulation method for distance measurement. The proposed hybrid system is dedicated to mobile robot operating in difficult lighting conditions. The problems caused by the use of the video system in extremely underexposured 3D scene have been discussed and two devices performing the distance measurement together with an analysis measurements have been analyzed.
WLV: A Question Generation System for the QGSTEC 2010 Task B

This paper presents the question generation system used by the University of Wolverhampton in QGSTEC 2010 task B. We have modified our multiple-choice question generation (MCQ) system in order to generate a new type of questions as requested by this task. We have also removed several constraints from our original system in order to generate more questions. In this paper, we will describe our approach and manual evaluation results on the development data.
Subspace Representations and Learning for Visual Recognition

Subspace Representations and Learning for Visual Recognition Farzad Siyahjani Pervasive and affordable sensor and storage technology enables the acquisition of an ever-rising amount of visual data. The ability to extract semantic information by interpreting, indexing and searching visual data is impacting domains such as surveillance, robotics, intelligence, human-computer interaction, navigation, healthcare, and several others. This further stimulates the investigation of automated extraction techniques that are more efficient, and robust against the many sources of noise affecting the already complex visual data, which is carrying the semantic information of interest. We address the problem by designing novel visual data representations, based on learning data subspace decompositions that are invariant against noise, while being informative for the task at hand. We use this guiding principle to tackle several visual recognition problems, including detection and recognition of human interactions from surveillance video, face recognition in unconstrained environments, and domain generalization for object recognition. By interpreting visual data with a simple additive noise model, we consider the subspaces spanned by the model portion (model subspace) and the noise portion (variation subspace). We observe that decomposing the variation subspace against the model subspace gives rise to the so-called parity subspace. Decomposing the model subspace against the variation subspace instead gives rise to what we name invariant subspace. We extend the use of kernel techniques for the parity subspace. This enables modeling the highly non-linear temporal trajectories describing human behavior, and performing detection and recognition of human interactions. In addition, we introduce supervised low-rank matrix decomposition techniques for learning the invariant subspace for two other tasks. We learn invariant representations for face recognition from grossly corrupted images, and we learn object recognition classifiers that are invariant to the socalled domain bias. Extensive experiments using the benchmark datasets publicly available for each of the three tasks, show that learning representations based on subspace decompositions invariant to the sources of noise lead to results comparable or better than the state-ofthe-art.
The Discussion of Life-teaching Method about C Language under the Innovative Forms

Theory comes from life, return to life again. In view of the problems existing in the freshman about learning C language in the applied colleges, life-case teaching methods are applied to teaching C-language program. It can make students learn C language in a tangible world and find the beauty of the C language in the life. It has made the students’ ability to use knowledge to solve practical problems, at the same time, it has guided and inspired the students to find the problems, analyze the problems and solve the problem. In addition, it can cultivate students' innovative thinking and innovative ability. It complies with the requirement of era development. Keywords—C language; life teaching; applied colleges
Inquiry-based Bluetooth Parameters for Indoor Localisation - an experimental study

The ability to locate people in an indoor environment is attractive due to the many opportunities it offers to businesses and institutions, including emergency services. Although research in this area is thriving, still no single solution shows potential for ubiquitous application. One of the candidate technologies for localisation is Bluetooth owing to its support by a wide range of personal devices. This paper evaluates indoor signal measurements collected based on the Bluetooth inquiry procedure. Our goal was to establish how accurately a mobile device can be linked to the space (e.g., shop, office), in which it currently resides. In particular, we measured the Received Signal Strength Indicator and the Response Rate of an inquiry procedure for various positioning scenarios of the mobile devices. Our results indicate that the Bluetooth inquiry procedure can be successfully used to distinguish between mobile devices belonging to different spaces.
Validity-Sensitive Querying of XML Databases Extended Abstract †

We consider the problem of using XPath to query XML documents which are not valid with respect to given DTDs. If a query is formulated under the assumption that documents satisfy a DTD and a given document does not, then the query answer in this document may be different from the expected one. We propose an alternative mode of query evaluation which actively incorporates the schema into the evaluation process: If a document is invalid, all possible valid documents obtained from it by applying the minimum number of repairing operations are considered. Conceptually, the query is evaluated in each such document, and the intersection of all the results is returned to the user. We study the issue of how the computational complexity of query evaluation in our approach depends on the repertoire of the repairing operations and the syntax of the query. We describe experiments that validate our approach.
Mobile Cloud Gaming and Today's World

Mobile cloud computing is the emerging field. Along-with different services being provided by the cloud like Platform as a Service, Infrastructure as a Service, Software as a Service; Game as a Service is new terminology for the cloud services. In this paper, we generally discussed the concept of mobile cloud gaming, the companies that provide the services as GaaS, the generic architecture, and the research work that has been done in this field. Furthermore, we highlighted the research areas in this field.
Optimize Preview Model Parameters Evaluation of RANSAC

The Random Sample Consensus (RANSAC) algorithm is a popular tool for robust estimation problems in computer vision, primarily due to its ability to tolerate a tremendous fraction of outliers. In this paper, we propose an approach for optimizing the preview model parameters evaluation of RANSAC that has the benefit of offering fast and accurate RANSAC. With guaranteeing the same confidence of the solution as RANSAC, a very large number of erroneous model parameters obtained from the contaminated samples are discarded in the preview evaluation selection. And use local optimization step apply to selected models. The combination of these two strategies results in a robust estimation procedure that provides a significant speed and accuracy RANSAC techniques, while requiring no prior information to guide the sampling process.
Distributed Source Coding: Tools and application to video compression

Distributed source coding is a technique that allows to compress several correlated sources, without any cooperation between the encoders, and without rate loss provided that the decoding is joint. Motivated by this principle, distributed video coding has emerged, exploiting the correlation between the consecutive video frames, tremendously simplifying the encoder, and leaving the task of exploiting the correlation to the decoder. The first part of our contributions in this thesis presents the asymmetric coding of binary sources that are not uniform. We analyze the coding of non-uniform Bernoulli sources, and that of hidden Markov sources. For both sources, we first show that exploiting the distribution at the decoder clearly increases the decoding capabilities of a given channel code. For the binary symmetric channel modeling the correlation between the sources, we propose a tool to estimate its parameter, thanks to an EM algorithm. We show that this tool allows to obtain fast estimation of the parameter, while having a precision that is close to the Cramer-Rao lower bound. In the second part, we develop some tools that facilitate the coding of the previous sources. This is done by the use of syndrome-based Turbo and LDPC codes, and the EM algorithm. This part also presents new tools that we have developed to achieve the bounds of asymmetric and non-asymmetric distributed source coding. We also show that, when it comes to non-uniform sources, the roles of the correlated sources are not symmetric. Finally, we show that the proposed source models are well suited for the video bit planes distributions, and we present results that proof the efficiency of the developed tools. The latter tools improve the rate-distortion performance of the video codec in an interesting amount, provided that the correlation channel is additive.
SpoVNet: An Architecture for Easy Creation and Deployment of Service Overlays

Abstract This chapter describes the Spontaneous Virtual Networks architecture(SpoVNet), which eases creation and deployment of service overlays. First,we describe the requirements for supporting service overlays in today’s Inter-net. For instance, service overlays must work across heterogeneous networksand should be able to incorporate mobile and/or multi-homed users as well.Next, we describe the components of SpoVNet and how they relieve serviceoverlay programmers from several complex tasks. Finally, we illustrate theapplication of the provided SpoVNet service interface by giving an examplefor creating a service overlay for streaming videos to a group of users. Keywords: SpoVNet, overlay, network substrate, service overlays. 2.1 Introduction The Internet has become an indispensable part of daily personal and profes-sional life. It offers a growing variety of communication possibilities, e.g.,e-mail, instant messaging, web, ﬁle sharing, video and TV streaming, socialnetworks, online communities, or Internet telephony. With the growing pop-ularity of such applications, user demands increase, for example regarding
The Application of Computer Literacy Skills after Completion of the Course in the First Year

This paper investigates whether there is a difference or in fact a way in which one can ensure that the skills being taught through a computer literacy course during a student’s first year of studies are indeed retained and reused throughout their studies to ensure that the university deliver a high quality graduate who can enter the work environment without any technological disadvantages and thus breaching the gap of technologically disadvantaged and computer literate graduates. The research done for this paper does indicate that to some extent, students are retaining some of the skills they were taught during their computer literacy subjects.
Path-tracking of an autonomous vehicle via model predictive control and nonlinear filtering

To improve the stability of the autonomous vehicle for high speed tracking, a vehicle estimator scheme integrated into a path-tracking system has been proposed in this paper. Vehicle stability is related to road condition (low road adhesion, high road adhesion, and changing road adhesion) and vehicle state, thus a state observer has been preferred in this paper to estimate vehicle state and tire-road friction as a means of judging vehicle stabilization. For the approach to the estimation, an unscented Kalman filter (UKF) employing a three degrees-of-freedom vehicle model combined with a Magic Formula (MF) tire model was designed. As a widely used model control method, the multi-constraints model predictive control (MMPC) was proposed and that was then used to calculate the desired front steering angle for tracking the planned path. The performance of the MMPC controller, with the estimator, was evaluated by the vehicle simulation software CARSIM and Matlab/Simulink. The simulation results show that the designed MMPC controller with the estimator successfully performs path-tracking at high speed for the intelligent vehicle.
The Cloud Computing: A Review

The term Cloud Computing has been a long-held dream in recent technologies. Cloud computing is the effort in delivering computing resources as a service. It has been emerged as a computing which points towards achieving objectives i.e. reliable, better quality of service, and infrastructure facilities without much financial burden. This paper explains the basic terms, service models and deployment models used in cloud computing. Also, this paper involves in explaining the various research areas and issues arising in using all the service models.
Reduced complexity FPGA-based digital signal processing for adaptive beamforming

Advancements in FPGA technology have permitted near real-time signal processing. To achieve real-time signal processing one can consider reduced complexity algorithms. An important component of many modern signal processing algorithms is calculation of the signal autocorrelation matrix. Instead of calculating the conventional autocorrelation, we propose to use the complex hybrid-sign and the quadruplex algorithms introduced by Jacovitti (1987) and Sullivan et al. (1995), respectively. The accuracy of these algorithms is of concern especially in applications which are resolution sensitive. In particular, we consider the effect of the hybrid and quadruplex approximations on the direction of arrival (DOA) estimate produced by beamforming. We show that the variance of the DOA estimate approaches the theoretical estimate predicted by Sullivan for low S/N ratio. At high S/N ratio, the bias and variance of the quadruplex estimate are actually better than the conventional method.
Concordance of Private and Public Interests: Dynamic Graph Representation, Identification and Simulation Modeling

A universal approach to the description of dynamics of complex systems, identification of their models, and finding the solutions by means of computer simulation is proposed (on the example of CPPI-models). The dynamic graph balance models permit to reflect in a convenient visual form the main matter-energetic processes of real-world systems dynamics. Computer simulation is proposed to use both for solving of complex game theoretic problems and for their identification. An idea of representative scenarios is developed in this frame. A special computer software should be devel-oped for the implementation of the method.
An Extensible Healthcare Context Engine Based on Smart Phones

Population aging problem has become a severe challenge worldwide and will become even severer in the near future. Meanwhile the technology of smart phones and various sensors is developing by leaps and bounds in the last few years. In order to help people who have difficulty in living independently, especially the senior citizens and facilitate efficient use of these sensors, it is worthwhile to explore the possibility of making use of smart phones to manage these sensors and provide valuable information. In this paper, a context engine run on the Android platform is introduced. The context engine targets healthcare usage, collecting healthcare related information from three kinds of sensors: ambient sensors, wearable sensors, and embedded sensors, with the attention of providing real time reminders, sharing information to other applications and recording the user's daily life. Experiment result shows that average accuracy of reminders can reach 82% in user’s daily life within the context engine. The results are expected to be improved with more sensors and more accurate sensors involved in the system. Compared to other similar work, this context engine focuses on the mobile platform that can cover most of user’s time in daily time while maintaining portability.
Network-on-Chip: A State-of-the-art Review

Large scale System-on-Chip (SoC) has been enabled by the scaling of microchip technologies. As data intensive applications have emerged and processing power has increased, the threat of the communication components on single-chip systems introduced network on chip (NoC). NoC provides the concept of interachip communication. In this paper a study treats an outstanding concept for system-on-chip communication introduced as communication network on-chip (NoC). This paper includes the NoC basics, network topology, relevant research issues and different abstraction levels.
An epigenetic view on alternative splicing

Genome-wide analysis indicate that alternative splicing of mRNA precursors (premRNAs) affects the vast majority of human genes. Alternative splicing provides a fundamental mechanism to increase transcriptome complexity, allowing the production of two or more mRNA variants that often encode proteins with different, sometimes opposite functions. Its importance is underscored by the observation that misregulated alternative splicing can lead to human diseases. Pre-mRNA splicing has long been known to be regulated by cis-acting sequence elements and trans-acting protein factors. In higher eukaryotes, it mostly occurs co-transcriptionally so that it is not surprising that a role for chromatin and epigenetic factors in the regulation of exon inclusion is now emerging. In this review, we will discuss the most recent findings on the roles played by chromatin structure on the modulation of the cotranscriptional splicing reactions. In particular, we will focus our attention on how the modulation of the transcribing RNA polymerase II, the changes in nucleosome architecture and the presence of different histone modifications contribute to the regulation of the splicing process.  Corresponding author: Silvia M.L. Barabino, Department of Biotechnology and Biosciences, University of Milano-Bicocca, Piazza della Scienza, 2, I-20126 Milano, Italy, Phone: +39-02-6448 3352, Fax: +39-02-6448 3569, E-mail: silvia.barabino@unimib.it. No part of this digital document may be reproduced, stored in a retrieval system or transmitted commercially in any form or by any means. The publisher has taken reasonable care in the preparation of this digital document, but makes no expressed or implied warranty of any kind and assumes no responsibility for any errors or omissions. No liability is assumed for incidental or consequential damages in connection with or arising out of information contained herein. This digital document is sold with the clear understanding that the publisher is not engaged in rendering legal, medical or any other professional services. Gabriele A. Fontana, Aurora Rigamonti and Silvia M. L. Barabino 70
Neural Networks for Intelligent Signal Processing (Series on Innovative Intelligence, Vol. 4)

Imagine that you get such certain awesome experience and knowledge by only reading a book. How can? It seems to be greater when a book can be the best thing to discover. Books now will appear in printed and soft file collection. One of them is this book neural networks for intelligent signal processing series on innovative intelligence vol 4. It is so usual with the printed books. However, many people sometimes have no space to bring the book for them; this is why they can't read the book wherever they want.