Miracle-dz/UniFAR-FTUs huggingface dataset:
Modelling and Simulation of Adaptive Buffer Management Mechanism Using Nested Autoregressive Process-Based Mpeg-Encoded Traffic Model

Abstract High speed networks provide real-time variable bit rate (VBR) service with diversified traffic flow characteristics and quality requirements. The VBR traffic has stringent delay and packet loss requirements. The burstiness of the correlated traffic makes dynamic management highly desirable to satisfy the Quality of Service (QoS) requirements. Buffer management in queueing systems plays important role towards effective control of QoS for various types of applications. In this paper, ADaptive Partial Buffer Sharing (ADPBS) scheme for priority queueing system is proposed and analyzed. The input to the queue has been taken using auto-regressive (AR) process of order 2 for MPEG-encoded VBR video traffic. The results of simulations indicate that dynamically controlled threshold in ADPBS contributes in reducing the packet loss of different priority classes as compared with static partial buffer sharing queue and first-in first-out queue based on threshold control parameters and the traffic type.
Neural network control of shared ATM buffer

Assuming the shared buffer in ATM node with bursty input traffic, we have derived a new competitive neural network algorithm for buffer management. The algorithm is an extended version of the previous one, based on input prebuffers solution. The cell loss rate obtained is considerably lower comparing to the round-robin control in such a case. The interarrival times of output streams are considered by fractal/multifractal analysis, as well.
Parallel management of large deductive databases in a multi-processor environment

This paper describes a parallel deductive database system, built on top of Prolog. The system is based on the TOP-DOWN evaluation of logic programs. Parallelism is provided at the rule level, by transforming the query AND/OR tree into Disjunctive Normal Form. The clauses of the transformed formula are executed independently in parallel, on a transputer multi-processor machine, using the processor-farm algorithm. Both main-memory consultation and direct disk access have been implemented and tested. The measurement of the system performance shows speed improvement over the sequential Prolog interpreter, for large rule bases, but also exhibits implementation-dependent drawbacks that cause under-linear speed-up. <<ETX>>
Statistical generation of 3D facial animation models

This article reports results of a modeling system that is part of a larger project which seeks to achieve perceptually realistic animations of 3D models driven by speech. This system generates individualized animated 3D face models driven by "muscles" and compatible with MPEG-4. Our main contribution is in the use of an extensive facial database and statistical techniques to generate plausible facial models from limited data: from a single image using eigenface-like statistical recognition techniques, from descriptions (identikit) or randomly within the parameters of the population represented in the facial database. An interactive module and a muscle-based animation player are also part of the system.
FPGA-based forward and back-projection operators for tomographic reconstruction

Artifacts in computerized tomography (CT), such as metal streak effects, can also be reduced using the iterative reconstruction approach. The main issue in iterative method is the computation cost by efficient implementation of the forward and back-projection operations, which are the dominant cost in all iterative reconstruction algorithms. We designed a field programmable gate array (FPGA)-based operators for iterative forward and back-projection method to solve the artifact model. The projection method in CT reconstruction is to retrieve the volumetric image based on observed projection image and makes reconstruction errors minimize. The FPGA-based operators contain only the iterative reconstruction operations from tomographic projections, and the filtering of detector data and the geometry correction between detector and object are done by host CPU processor. For FPGA design, we used Impulse C package, C-to-FPGA tool including the use of streaming and pipelining for high performance. We evaluated the FPGA-based projection on Shepp-Logan phantom data with metal streak artifact. Simulation results show that the FPGA-based operators can reduce the computation time of iterative reconstruction, while still providing accuracy comparable to CPU or GPU-based reconstruction.
Research on the Bus Passenger Motion Vector Algorithm Based on Video Image

Video-based bus passenger collection is considered to have a greater potential for counting passengers, but the difficulty lies in how to solve the problem of accurately tracking and determining the direction of the moving target under the complex state of motion. The traditional target detection algorithm, like frame subtraction and edge detection, is very difficult to deal with the situation of immediate multi-objective. Based on image preprocessing, an algorithm about intelligent video multi-target tracking and traffic statistics is designed aiming at the above-mentioned situation. The core contents in this paper includes: the grid-density clustering and line segment clustering, extraction and segmentation target connected domain that is handled to be a circular, tracking the motion vector of target feature point, finally ,achieving accurate statistics on the number of people getting on and off. Experiments show that this algorithm can effectively track more people simultaneously and the bus traffic statistical accuracy achieves the goal.
A DPLL with a Modified Phase Frequency Detector to Reduce Lock Time

130nm CMOS 공정 라이브러리를 이용하여 125MHz로 동작하는 새로운 위상 주파수 검출기 기반 DPLL을 설계하였다. 이 DPLL은 중간 주파수대 응용을 위해 지터와 록 시간을 줄이려고 전형적인 DPLL에 반전 에지 검출기를 포함하고 있다. XOR기반 반전 에지 검출기들은 출력을 보다 빨리 변화시키기 위하여 기준 신호보다 빠른 전이를 얻는데 사용된다. HSPICE 시뮬레이터는 모의실험을 위해 Cadence환경에서 사용되었다. 제안된 위상 주파수 검출기를 가진 DPLL의 성능은 종래의 위상 주파수 검출기를 가진 것의 성능과 비교하였다. 종래의 PLL은 약 0.1245 ns의 최대 지터를 가지고 록 하는데 최소 2.144 μs가 걸린 반면에, 제안한 검출기를 가진 PLL은 약 0.1142 ns의 최대 지터를 가지고 록 하는데 0.304 μs가 걸린다.
Sensing Properties of WO3 as Thin Film Prepared by PVD towards Ethanol Vapor

Three thin films were prepared by PVD starting from WO3 powder with thicknesses ( 998.7, 1620, 2240 nm ) respectively on glass substrates under limited thermal and pressure conditions, studied their I-V characteristics and calculated the sensitivity for 100 ppm of ethanol vapor adsorption (The temperature of the films have been changed from 25°C to 350°C). A comparison among them was achieved at 300 °C as an operating degree and found that the 1620 nm WO3 has more sensitivity and has more power to adsorb for ethanol vapor on it.
Objective video quality assessment method for evaluating effects of freeze distortion in arbitrary video scenes

With the development of the broadband IP networks, video distribution, streaming, and communication services over networks are rapidly becoming common. To provide these services appropriately, we must design, monitor, and manage their quality based on subjective video quality. Therefore, we need an objective quality assessment method that enables video quality to be evaluated from video characteristics easily and quickly. We have already proposed an objective video quality assessment method for freeze distortion in network video services by considering the perceptual characteristics of short freeze distortion. In this previous method, we derived the objective video quality under the assumption that all freeze lengths in the video are constant. However, it was impossible to derive objective video quality when arbitrary freeze lengths occur because of network degradation in real services. We propose an objective video quality assessment method for arbitrary freeze lengths by extending the previous method and confirm that it can estimate subjective video quality with good accuracy for real applications. The correlation coefficient between subjective and objective quality is 0.94.
Learning and researching in virtual worlds

Taylor and Francis CJEM_A_496169. sgm 10.1080/17439884.2010. 496169 Learning, Media and Technology 743-9884 (pri t)/1743-9892 (online) Original Article 2 10 & Francis 35 0 0 002010 J.Hu singe jhuns@vt. du This special issue was inspired by an email exchange between two colleagues about an area of research that, at the time, demonstrated promise but was still in its infancy: learning and research in 3D virtual worlds. In 2007, the editors of this issue, Aleks Krotoski and Jeremy Hunsinger, were each studying these collaborative, media-rich online communities in very different ways. Jeremy was exploring innovation in educational and research use of virtual worlds, while Aleks was examining the social psychological properties of influence in these spaces. Both had connections to the virtual world Second Life (the commercial leader at that time), developed and maintained by San Franciscobased Linden Lab. Aleks and Jeremy had met via a mutual colleague, Mia Consalvo, at the Association of Internet Researcher’s Conference in Chicago. Recognizing they were working in a complimentary area, Jeremy proposed that they work together on a project, which evolved into the Learning and Research in Second Life pre-conference workshop series, first developed for and held at Internet Research 8.0: Let’s Play in Vancouver. Building on the success of that workshop, Jeremy, with Linden Labs and Aleks’ support and the assistance of his colleagues Jason Nolan and Rochelle Mazar, held a second workshop at Internet Research 9.0 in Copenhagen. At Internet Research 10.0, organization of the Learning and Research in Second Life workshop series was extended to Kim Holmberg, Isto Huvila, and Terry Beaubois. Since that time, Jeremy has facilitated the workshop in Brisbane and other locations around the world. The outcomes of these meetings inspired this special issue, and many of the attendees offered their support to it by submitting articles, acting as reviewers, and offering advice. We extend our thanks to them.
Analysis and test of the coupling mode in the bend single-mode fiber

In this paper, we presented the results of bend loss measurements for single-mode optical fiber over wide bend radius 1mm ~ 8mm and wavelength 1530nm ~ 1565nm. The oscillations caused by the coupling between the whispering gallery mode propagating in the cladding and the buffer and the core guided fundamental mode was observed versus both bend radius and wavelength. And a good agreement between the experimental results and the theoretical numerical evaluation was obtained.
Robustness of efficient server assignment policies to service time distributions in finite‐buffered lines

We study the assignment of flexible servers to stations in tandem lines with service times that are not necessarily exponentially distributed. Our goal is to achieve optimal or near‐optimal throughput. For systems with infinite buffers, it is already known that the effective assignment of flexible servers is robust to the service time distributions. We provide analytical results for small systems and numerical results for larger systems that support the same conclusion for tandem lines with finite buffers. In the process, we propose server assignment heuristics that perform well for systems with different service time distributions. Our research suggests that policies known to be optimal or near‐optimal for Markovian systems are also likely to be effective when used to assign servers to tasks in non‐Markovian systems. © 2010 Wiley Periodicals, Inc. Naval Research Logistics, 2010
A Collaborative Filtering-based Recommendation System with Relative Classification and Estimation Revision based on Time

In the recommendation system that recommends services to a specific user by using the estimation value of other users for users` recommendation service, collaborative filtering methods are widely used. But such recommendation systems have problems that exact classification is not possible because a specific user is classified to already classified group in the course of clustering and inexact result can be recommended in case of big errors in users` estimation values. In this paper, in order to increase estimation accuracy, the researchers suggest a recommendation system that applies collaborative filtering after reclassifying on the basis of a specific user`s classification items and then finding and correcting the estimation values of the users beyond the critical value of time. This system uses a method where a specific user is not classified to already classified group in the course of clustering but a group is reorganized on the basis of the specific user. In addition, the researchers correct estimation information by cutting off the subordinate 10% from the trimmed mean of samples and then applies weight over time to the remaining data. As the result of an experiment, the suggested method demonstrated about 14.9%`s more accurate estimation result in case of using MAE than general collaborative filtering method.
Quantitative estimation of gallic acid in Triphala churnam tablet by RP-HPLC.

A RP-HPLC assay method has been developed and validated for the estimation of gallic acid. Chromatography was carried on C18 column (250 mm x 4.6 mm I.D., 5 μm) by isocratic elution utilizing a mobile phase of acetonitrile and water containing 0.01 % v/v ortho phosphoric acid (in the ratio of 80: 20% v/v) with UV detection at wavelength 270 nm at the flow rate 1mL/min. The proposed method was validated for sensitivity, specificity, linearity, accuracy, precision, ruggedness, robustness and solution stability. The response of the drug was linear in the concentration range of 20-120 μg/mL. Limit of detection and limit of quantification was found to be 6.13 μg/mL and 18.57 μg/mL respectively. The % recovery ranged within 98-102%. Method, system, interday and intraday precision were also found to be within the limits of acceptance criteria. Method was found to be rugged when analysis was carried out by different analyst. The proposed method is rapid, simple and also it can be applied for the routine analysis of herbal formulations.
ICT and change in UK public libraries: does training matter?

A consideration of the implications of technological change for public library staff and managers in the UK is based on the selected results of a literature review. Recent developments affecting the growth of information and communication technology (ICT) in public libraries provide a context against which research into the effects of automation, the introduction of ICT in a variety of library environments and into society generally, are explored. The value of attitudes to ICT are questioned noting that attitudes are often seen as being important in determining the successful implementation of ICT in libraries. Training is suggested as an appropriate means of enabling staff to cope effectively with technological change. Successful training needs to appreciate that staff have different needs and so prefer different training methods. Resistance is also viewed as a natural response to change that managers should note and attempt to understand, if and when it occurs.
Study on the Digital Storytelling Types and Characteristics of Fashion Designer Brands

1) The purpose of this research is to systemize the fashion digital storytelling by analyzing the communication method and its elements, and extracting the characteristics and processes of digital storytelling. Based on the previous study on the characteristics and types of storytelling the following things have been researched: 1) the process of digital storytelling in the communication process, 2) the concept and the feature of the academia of digital storytelling 3) storytelling in the document research. On the groundwork of the document research, we were able to sort out the various types, and formed a system of the features in the fashion digital storytelling cases, mainly in the four collections (Milan, Paris, London, New York) from 2000's to recent years of 2010. The types of fashion digital storytelling are episode type, narrative type, and creative type. The characteristics of each of the types are as follows. Firstly, the episode type communicates through the digital media based on the information or fact of the fashion designer brand. Secondly, narrative type communicates with the consumers using previous literature or an existing idea of the original cultural form that is rearranged in digital story expressed by the digital media. Lastly, creative type makes the designer's and consumer's susceptibility and creativity communicate through the newly made story, which expresses the unique originality of the designer. It seems that the cases and studies of using the fashion digital storytelling will increase because of its short history and lack of the case study. Fashion designer brands will show their brand image using the digital storytelling because they are able to better express originality, creativity and imagination of the fashion designer, which were factors that could not be conveyed through fashion alone.
A Word Sense Disambiguation System Using Modified Naive Bayesian Algorithms for Indonesian Language

It is common that a word in any natural language has often more than one meaning/sense.A word sense disambiguation(WSD)system is designed to determine which one of the senses of a polysemous word is invoked in a particular context around the word.We propose methods to disambiguate senses of polysemous words by using Naive Bayesian classifier method.A few sets of experiment data were taken from Kompas daily newspaper homepage and used for the system construction.We modified the original algorithm of Naive Bayesian method to apply it to the Indonesian language analysis.The experiments showed that our system achieved good accuracies(73-99%).
Effect of HPBW on channel capacity in near-field MIMO system

: Considering the very short distance between transmitter and receiver in the near-ﬁeld MIMO system, the impact of the radiation pattern of each antenna element is not neglectable. In this paper, the dual-dipole arrays are utilized to investigate the eﬀect of HPBW (half-power beamwidth) on channel capacity. The HPBW can be changed by varying the internal distance between two dipoles in one element. With a proper HPBW of the antenna element, the channel capacity of a dual-dipole array is improved obviously from a conventional dipole array. And the optimum HPBW is found to be approximately 50 ◦ .
A Steiner tree construction for VLSI routing

Proposes a parallel, analog approach for the construction of a minimum rectilinear Steiner tree (MRST), which intuitively shrinks a bubble around the pins of the signal net until a Steiner tree topology is induced. This method maps well to parallel neural-style architectures, as well as to fairly generic two-dimensional array topologies. The author describes the basic approach along with extensive preliminary simulation results which show better performance than existing MRST approaches (i.e., almost 10% average improvement over minimum spanning tree cost). The result is of practical interest for VLSI CAD applications, and is an instance where an analog heuristic for an NP-complete problem outperforms existing combinatorial methods, both in time complexity and average-case performance. <<ETX>>
Research of Building Secure VPN Network Mode Based on Application Layer

On the basis of analyzing VPN network's flaw, designed and implemented a secure and reliable VPN networking model. The model adopts VPN over HTTP protocol and Kerberos to ensure the secure of identification authentication and data transmission. Finally, the paper gives the main algorithm and workflow of the model's Server and Client. Test results demonstrate that, this model has better performance in Maximum number of connection, throughput of system, data encryption, etc. The model suites to the needs of Network Development, has a very good application prospects on secure transmission of the remote.
Resource sharing among agricultural libraries in Malaysia

Investigates resource sharing activities undertaken by agricultural libraries in Malaysia. It was found that resource sharing was basically limited to interlibrary lending and document delivery activities. On the average, each scientist from the participating research institutions made 1.25 document delivery and interlibrary loan requests per annum. Nearly 74 percent of these requests were met from local libraries. The participating libraries preferred to make their overseas document delivery requests to the BLDSC. Only a limited resource sharing activity was observed between the participating libraries and libraries in the ASEAN region. Heads of the participating libraries were in favour of a “loose” resource sharing scheme where it should be at their discretion to decide with whom to share their resources and at what level. The study offers several suggestions for improving resource sharing activities among agricultural libraries in Malaysia.
A combined prediction system for handoffs in overlaid wireless networks

A hierarchical prediction mechanism which combines two prediction techniques, namely signal strength and next-cell prediction, for handoffs in future personal communication systems is proposed. The signal strength prediction is based on the least mean square (LMS) adaptation algorithm and next-cell prediction is based on mobility patterns. Results show a significant reduction in mean number of handoffs under maximum availability of channels. The goodness of prediction is highly mobile dependent and the algorithm can be extended to any number of base stations. The approach is unique, since it involves equal assignment probability to base stations, depending on their availability. This combined prediction system provides an overall better performance compared to the signal strength based prediction algorithm.
CG2Real: Improving the Realism of Computer Generated Images using a Collection of Photographs

Computer-generated (CG) images have achieved high levels of realism. This realism, however, comes at the cost of long and expensive manual modeling, and often humans can still distinguish between CG and real images. We introduce a new data-driven approach for rendering realistic imagery that uses a large collection of photographs gathered from online repositories. Given a CG image, we retrieve a small number of real images with similar global structure. We identify corresponding regions between the CG and real images using a mean-shift cosegmentation algorithm. The user can then automatically transfer color, tone, and texture from matching regions to the CG image. Our system only uses image processing operations and does not require a 3D model of the scene, making it fast and easy to integrate into digital content creation workflows. Results of a user study show that our hybrid images appear more realistic than the originals.
Electromagnetic characteristics of a thick monopole antenna with dielectric loading

The effect of dielectric loading on the electromagnetic radiation characteristics of thick monopole antennas is investigated. A surface integral equation formulation for a dielectric-loaded thick monopole antenna modeled as a body of revolution is presented. The surface integral equations were solved via the method of moments for the unknown surface current distributions. The numerical data were verified by comparison of the results for input impedance with data available in the literature and with measured data for different configurations. The effects of loading on the input impedance, bandwidth, and beamwidth are considered for antennas mounted on both infinite and finite ground planes. Loads of various shapes and dielectric constants are investigated. Numerical results are presented for various conical and wire monopoles loaded with dielectrics which may partially or completely cover the conducting surface of the antenna. <<ETX>>