Miracle-dz/UniFAR-FTUs huggingface dataset:
Computational Support to Design and Fabrication of Traditional Indian Jewelry

ABSTRACTThis manuscript presents an approach to recreate traditional Indian ornamental designs and a schema to innovate the designs due to new interpretations of the traditional styles using Computer Aided Geometric Modeling. The ornamental patterns are ideally suited to computer-controlled manufacturing that can build real world artifacts from synthetic computer descriptions. The primary objective of the work is to develop mathematical models and algorithms to provide computational support to the design of traditional Indian jewelry and in the process simplifying the design methodology of complex traditional ornamental designs. The work also makes an attempt to incorporate artistic sense, traditional touch and imagination in the designs. The work is based on pattern design methods. A profile is used as the basic sketch for pattern design. A cluster is made up of profiles and the cluster type depends on the profile arrangements. For jewelry design, the patterns are implemented on the user-defined surfaces.
Health indicators in the care for neurocritical patients

This study aimed to develop indicators to evaluate the care for neurocritical patients. Methodological study for development and validation of indicators of health evaluation, conducted on the Intensive Care Unit of a large hospital. The opinionated validation method was used, where seven experts (five nurses and two doctors) participated on the content analysis through operational manual from May to August 2012. The values obtained from the expert judgment were all above 80%, in which the literature reference was above 75%. The results revealed that all the indicators were considered valid as regards the agreement percentage. Therefore, it is possible to establish reliable indicators to evaluate the proposed care and establish the quality of the service. From the theoretical prerequisites, its use will support the control of assistance quality whilst collaborates with designing intervention plans.
An analytical approach to fine tuning in CMOS wave-pipelining

Fine tuning is an integral part of a wave-pipelined design process to achieve maximum clock speed. In this paper we present analytical approaches to two main components of the fine tuning process for CMOS designs, the computation of effective load capacitance at gate outputs and the transistor sizing of the driving gates to achieve equal rise and fall delay. Comparisons with Spice simulation results are presented to show the accuracy of the proposed approach.
Une version franco-canadienne de la Physiotherapy Evidence Database (PEDro) Scale : L'Échelle PEDro

RESUME But : Effectuer une traduction franco-canadienne de la PEDro scale sous l'appellation proposee d'Echelle PEDro et examiner la validite de son contenu. Methodologie : Nous avons utilise une approche modifiee de la methodologie de validation transculturelle de Vallerand. Une traduction renversee parallele de la PEDro scale a d'abord ete effectuee a la fois par des traductrices professionnelles et des chercheurs cliniciens. Ensuite, un premier comite d'experts (P1) a examine les versions traduites et a cree la premiere version experimentale de l'Echelle PEDro. Cette version a ete evaluee par un deuxieme comite d'experts (P2). Finalement, 32 chercheurs cliniques ont evalue cette deuxieme version experimentale de l'Echelle PEDro a l'aide d'une echelle de clarte (etendue de 5 points) et ont propose les modifications finales. Resultats : Pour les differents enonces de la version finale de l'Echelle PEDro, les moyennes sur l'echelle de clarte montrent un niveau eleve puisqu'elles varient entre 4,0 et 4,7 s.
Survey on Routing in Pocket Switched Network

Pocket switched Network (PSN) is an emerging research magnet that has been attracting researchers. This paper provides an introduction to PSN and covers some of its basic features and challenges. Continuous connectivity is difficult in infrastructure independent communication. In this paper, we will see how PSN provides an effective alternative. We also explain some routing protocols that can be incorporated for effective data forwarding. This paper also discusses possible applications and areas where PSN can be effectively used and some ideas that may foster future research in PSN routing.
Towards Resolving Referring Expressions by Implicitly Activated Referents in Practical Dialogue Systems

We present an extension to a comprehensive context model that has been successfully employed in a number of practical conversational dialogue systems. The model supports the task of multimodal fusion as well as that of reference resolution in a uniform manner. Our extension consists of integrating implicitly mentioned concepts into the context model and we show how they serve as candidates for reference resolution.
Graph-based layout analysis for PDF documents

To increase the flexibility and enrich the reading experience of e-book on small portable screens, a graph based method is proposed to perform layout analysis on Portable Document Format (PDF) documents. Digital born document has its inherent advantages like representing texts and fractional images in explicit form, which can be straightforwardly exploited. To integrate traditional image-based document analysis and the inherent meta-data provided by PDF parser, the page primitives including text, image and path elements are processed to produce text and non text layer for respective analysis. Graph-based method is developed in superpixel representation level, and page text elements corresponding to vertices are used to construct an undirected graph. Euclidean distance between adjacent vertices is applied in a top-down manner to cut the graph tree formed by Kruskal’s algorithm. And edge orientation is then used in a bottom-up manner to extract text lines from each sub tree. On the other hand, non-textual objects are segmented by connected component analysis. For each segmented text and non-text composite, a 13-dimensional feature vector is extracted for labelling purpose. The experimental results on selected pages from PDF books are presented.
An Update on the Distributed Vehicle Monitoring Testbed

COOPERATIVE DISTRIBUTED PROBLEM SOLVING NETWORKS ARE DISTRIBUTED NETWORKS OF SEMI-AUTONOMOUS PROCESSING NODES THAT WORK TOGETHER TO SOLVE A `SINGLE'' PROBLEM. THE DISTRIBUTED VEHICLE MONITORING TESTBED IS A FLEX- IBLE AND FULLY-INSTRUMENTED RESEARCH TOOL FOR EMPIRICALLY EVALUATING ALTER- NATIVE DESIGNS FOR THESE NETWORKS. THE TESTBED SIMULATES A CLASS OF DIS- TRIBUTED KNOWLEDGE-BASED PROBLEM SOLVING SYSTEMS OPERATING ON AN ABSTRACTED VERSION OF A VEHICLE MONITORING TASK. THERE ARE TWO IMPORTANT ASPECTS TO THE TESTBED. FIRST, IT IMPLEMENTS A NOVEL GENERIC ARCHITECTURE FOR DISTRIBUTED PROBLEM SOLVING NETWORKS THAT EXPLOITS THE USE OF SOPHISTICATED LOCAL NODE CONTROL AND META-LEVEL CONTROL TO IMPROVE GLOBAL COHERENCE IN NETWORK PROBLEM SOLVING. SECOND, IT SERVES AS AN EXAMPLE OF HOW A TESTBED CAN BE ENGINEERED TO PERMIT THE EMPIRICAL EXPLORATION OF DESIGN ISSUES IN KNOWLEDGE-BASED AI SYSTEMS. THE TESTBED IS CAPABLE OF SIMULATING DIFFERENT DEGREES OF SOPHISTICATION IN PROBLEM SOLVING KNOWLEDGE, OF PROCESSING (SIMULATED) INPUT DATA WITH VARYING AMOUNTS OF DISTRIBUTION AND AMBIGUITY, AND OF TESTING DIFFERENT MECHANISMS FOR CONTROLLING LOCAL AND NETWORK PROBLEM SOLVING (INCLUDING ORGANIZATIONAL STRUCTURING, LOCAL PLANNING, AND PARTIAL GLOBAL PLANNING). NODE CONFIGURATIONS AND COMMUNICATION CHANNEL CHARACTERISTICS CAN ALSO BE INDEPENDENTLY VARIED IN THE SIMULATED NETWORK.
Chinese chart publishing data updating technique and application

Although the production of nautical chart has developed a lot in China, there are still some defects, such as the long period of producing nautical chart, the continuous correction to the nautical chart published, and so on. On basis of analyzing Chinese chart publishing data and its updating data, this paper researches on the technique of interactively updating server chart publishing data and the technique of automatically updating client chart publishing data, which will lay the foundation for constructing the mode of printing charts on demand in China.
A capacitor-free CMOS low-dropout regulator with damping-factor-control frequency compensation

A 1.5-V 100-mA capacitor-free CMOS low-dropout regulator (LDO) for system-on-chip applications to reduce board space and external pins is presented. By utilizing damping-factor-control frequency compensation on the advanced LDO structure, the proposed LDO provides high stability, as well as fast line and load transient responses, even in capacitor-free operation. The proposed LDO has been implemented in a commercial 0.6-/spl mu/m CMOS technology, and the active chip area is 568 /spl mu/m/spl times/541 /spl mu/m. The total error of the output voltage due to line and load variations is less than /spl plusmn/0.25%, and the temperature coefficient is 38 ppm//spl deg/C. Moreover, the output voltage can recover within 2 /spl mu/s for full load-current changes. The power-supply rejection ratio at 1 MHz is -30 dB, and the output noise spectral densities at 100 Hz and 100 kHz are 1.8 and 0.38 /spl mu/V//spl radic/Hz, respectively.
Traffic Flow Measuring System Using Image Processing

We have developed a prototype for a traffic flow measuring system using image processing. The system measures traffic flow parameters such as vehicles' average speed and their spatial occupancy directly from road images. Its features are summarized as follows: (1) The system can stably extract the vehicles using the subtraction-spatial differentiation method and the background updating method, which considers the change ratio of the road brightness under changing surrounding conditions. (2) The system can track vehicles moving as fast as 150 km/h employing real-time gray scale image processing and parallel image features extraction of the HITACHI-IP/200 image processor. (3) In experimental applications to an expressway, the system had good accuracy in the traffic flow measurements, with errors within 10%, even under bad conditions at dusk.
Channel coding and transmission aspects for wireless multimedia

Multimedia transmission has to handle a variety of compressed and uncompressed source signals such as data, text, image, audio, and video. On wireless channels the error rates are high and joint source/channel coding and decoding methods are advantageous. Also, the system architecture has to adapt to the bad channel conditions. Several examples of a joint design are given. We especially advocate the use of rate-compatible punctured systematic recursive convolutional (RCPRSC) codes which are show to lead to a straightforward and versatile unequal error protection (UEP) design. In addition, the high-end receiver could use soft outputs and source-controlled channel decoding for even better performance.
Using the focus group approach for evaluating customers’ opinions: the experience of a Brazilian academic library

Taking the international literature in information sciences as the starting point, discusses the focus group approach and its use in the information services environment. Describes and analyses an experience with this technique in the School of Communications and Arts of the University of Sao Paulo, Brazil. Aims to demonstrate its viability for academic libraries in developing countries, arguing that it provides valuable data towards the improvement of quality in the services. Proposes the integration of this technique into library planning.
View synthesis techniques for 3D video

To facilitate new video applications such as three-dimensional video (3DV) and free-viewpoint video (FVV), multiple view plus depth format (MVD), which consists of both video views and the corresponding per-pixel depth images, is being investigated. Virtual views can be generated using depth image based rendering (DIBR), which takes video and the corresponding depth images as input. This paper discusses view synthesis techniques based on DIBR, which includes forward warping, blending and hole filling. Especially, we will emphasize on the techniques brought to the MPEG view synthesis reference software (VSRS). Unlike the case in the field of computer graphics, the ground truth depth images for nature content are very difficult to obtain. The estimated depth images used for view synthesis typically contain different types of noises. Some robust synthesis modes to combat against the depth errors are also presented in this paper. In addition, we briefly discuss how to use synthesis techniques with minor modifications to generate the occlusion layer information for layered depth video (LDV) data, which is another potential format for 3DV applications.
Parsing Streaming Network Protocols

Analysing captured Internet data is difficult. If one wishes to explore the content of application streams, one must defragment IP datagrams, and then reconstruct TCP streams, before parsing the application stream itself. Surprisingly, there are no tools in existence the provide a programmatic interface for this task, while existing tools are difficult to extend. This thesis focuses on the hardest part of stream reconstructing: parsing application streams. RFC-specified application streams often contain constructs that are difficult to handle using standard parsing methods. We propose a machine-readable grammar for specifying stream protocols, and develop a parser generator to build parsers for network monitors. Our grammar is compatible with the grammar used to describe existing protocols, meaning that minimal work is required to convert existing specifications to our new format. In doing so, we propose that network analysis climb the protocol stack, from the physical and transport layers where it is today, to the application layer.
An investigation on capacity versus guard-bands in the TDD mode of UMTS

The UMTS terrestrial radio access (UTRA) is composed of a frequency division duplex (UTRA-FDD) mode and a time division duplex (UTRA-TDD) mode. In UTRA-TDD the uplink and downlink are on the same carrier frequency. This creates additional interference scenarios, to be precise: MS/spl hArr/MS and BS/spl hArr/BS interference. Since power leakage between adjacent carriers cannot be avoided this inherent property of TDD has an impact on adjacent channel interference (ACI) and thus on cell capacity. The power leakage results from transmitter mask imperfections and non-ideal receiver filters. From interference power measurements using a 7th and a 9th order Butterworth receiver filter the relationship between carrier spacing and adjacent channel interference power ratio (ACIR) is established This relationship is used to find the best carrier spacing in UTRA-TDD considering several cell deployment scenarios. It is found that the ACIR must be greater than 30 dB, but the capacity gains from an ACIR greater than 40 dB converge rapidly.
Trending Tech Services: Metadata use in Everyday Situations: What Does it Mean for Libraries?

Libraries have a long history of designing information services that meet the needs of a wide range of information consumers. The growing use of digital documents both as part of our information community's everyday lives as well as in more formal library contexts poses new challenges in these information services as well as new opportunities to connect with patrons who possess advanced information literacies or fluencies with regards to these documents. In this column the author explores a method for identifying and planning services for patrons who possess these literacies within the context of metadata-rich systems. The author also explores the implications on common metadata services given this new framework.
Computational Approach to Color Overlapped Integral Imaging for Depth Estimation

A computational approach to depth estimations using a color over lapped integral imaging system is presented. The proposed imaging system acquires multiple color images simultaneously through a single lens with an array of multiple pinholes that are distributed around the optical axis. This paper proposes a computational model of the relationship between the real distance of an object and the disparity among different color images. The proposed model can serve as a computational basis of a single camera-based depth estimation.
Canine Theriogenology for Dog Enthusiasts: Teaching Methodology and Outcomes in a Massive Open Online Course (MOOC)

ABSTRACT A massive open online course (MOOC) in canine theriogenology was offered for dog owners and breeders and for veterinary professionals as a partnership between the University of Minnesota and Coursera. The six-week course was composed of short video lectures, multiple-choice quizzes with instant feedback to assess understanding, weekly case studies with peer evaluation to promote integration of course materials, and discussion forums to promote participant interaction. Peak enrollment was 8,796 students. The grading policy for completion was strict and was upheld; completion rate for all participants was 7.5%. About 12% of participants achieved a grade of over 90% in the course, with those who had any deficiency mostly missing one quiz or assignment. Ninety-nine individuals were enrolled in a for-cost, credentialed pathway, and 50% of those individuals completed all required course components. Pre- and postcourse surveys were used to demonstrate that learning objectives were met by the participant.
Google Scholar Author Citation Tracker: is it too little, too late?

Purpose – Seven years after the release of Google Scholar in 2004, it was enhanced by a new module, the Google Scholar Author Citation Tracker (GSACT), currently a small subset of the complete Google Scholar (GS) database. The aim of this paper is to focus on this enhancement.Design/methodology/approach – The paper discusses the Google Scholar Author Citation Tracker, its features, potential benefits and problems.Findings – GSACT allows registered users to create and edit their scientific profiles and some bibliometric indicators, such as the h‐index, total citation counts, and the i10 index. These metrics are provided for the entire academic career of authors and for the most recent five‐year period. The new module also offers some long overdue essential options, such as sorting result lists of the documents by their publication year, title, and the citations receivedOriginality/value – The paper shows that, at present, GSACT may be too little, too late. However, with an extension of the current clean‐up.
Web client for PostGIS—the concept and implementation

PostgreSQL with PostGIS extension plays one of the major roles in many complex GIS frameworks. There exist many possibilities how to access such data storage, but most of them might be seen as not simple for new users. In this paper we would like to introduce the concept of the implementation of a web based PostGIS client application. The main emphasis of described solution is placed on simplicity and straightforward approach for visualisation of general SQL queries.
SCANAL-a program for the computer-aided analysis of switched-capacitor networks

An efficient computer method for the analysis of switched-capacitor networks is presented. Computations of the frequency response and sensitivity analysis are feasible for 2-phase SC networks with ideal switches, capacitors, ideal op amps and any type of controlled source with constant gain. The discrete Fourier transform is used to obtain the polynomial coefficients of the network functions. The method used is based on a combination of the direct implemtation of equivalent circuits and the modified nodal analysis technique. The program is illustrated by two practical examples.
Intention to Use Biometric Systems

This study set out to investigate the critical factors that determine user intention to use a biometric system. We integrated previous research in the technology acceptance and biometric engineering literatures and identified six important factors: Perceived System Security, Perceived False Acceptance rates, Perceived False Rejection rates, Perceived System Invasiveness, System Trust and Facilitating Conditions. Eleven hypotheses were developed regarding the six factors to formulate direct and indirect influences of the six factors in a biometric intention-to-use model. The results support the eleven hypotheses and validate the model, which has an average variance explained of 31.1%. The contributions of the paper are discussed and future research directions are suggested.
The software product evaluation database-supporting MEDE-PROS

The growing demand for services of software product evaluation at the CTI in recent years has sustained the motivation for research and development aimed at building an environment for software product quality evaluation-AAPQS ("Ambiente para Avaliaco de Qualidade de Produto de Software"). To provide effective support for the application of an evaluation method, the AAPQS is based on the evaluation database which stores all data concerning software product evaluations. The evaluation database is described and examples of its utilization are presented.
An Energy-Efficient QoS Routing Algorithm for Wireless Sensor Networks

For effective routing in wireless sensor networks many routing protocols have been implemented. However, transmission of data requires both energy and QoS efficient routing in order to ensure efficient usage of the sensors and effective access to the gathered measurements. An energy-efficient QoS routing algorithm for sensor networks is proposed which can also run efficiently with best-effort traffic. The algorithm finds a least-cost, delay-constrained path for realtime data in terms of link cost that captures nodes’ energy reserve, transmission energy, error rate and other communication parameters. Moreover, the throughput for non-real-time data is maximized by adjusting the service rate for both real-time and non-real-time data at the sensor nodes by using two different calculation. Simulation results have demonstrated the effectiveness of our approach for different metrics.
Context Awareness Model using the Improved Google Activity Recognition

Activity recognition technology is gaining attention because it can provide useful information follow user’s situation. In research of activity recognition before smartphone’s dissemination, we had to infer user’s activity by using independent sensor. But now, with development of IT industry, we can infer user’s activity by using inner sensor of smartphone. So, more animated research of activity recognition is being implemented now. By applying activity recognition system, we can develop service like recommending application according to user’s preference or providing information of route. Some previous activity recognition systems have a defect using up too much energy, because they use GPS sensor. On the other hand, activity recognition system which Google released recently (Google Activity Recognition) needs only a few power because it use ‘Network Provider’ instead of GPS. Thus it is suitable to smartphone application system. But through a result from testing performance of Google Activity Recognition, we found that is difficult to getting user’s exact activity because of unnecessary activity element and some wrong recognition. So, in this paper, we describe problems of Google Activity Recognition and propose AGAR(Advanced Google Activity Recognition) applied method to improve accuracy level because we need more exact activity recognition for new service based on activity recognition. Also to appraise value of AGAR, we compare performance of other activity recognition systems and ours and explain an applied possibility of AGAR by developing exemplary program.