Miracle-dz/UniFAR-FTUs huggingface dataset:
Design and Implementation of Convergence Telepresence System Using Smart Device

This paper presents a design and realization of 1080i Full-HD telepresence system by using commercialized mobile device and smart device. The existing telepresence system could establish Full-HD video for efficient transmission with exclusive H/W en-and de-coder and high-priced device. However, this technology realizes transmitter by using a camera of commonly-used smart phone for encoding Full-HD video, without expensive camera. Then, it realizes the video with decoder for Full-HD video by using low-price Android STB in order to output the video on large-sized screen. In addition, this technology puts various devices having totally different functions each other into one video call system by defining API (Application Program Interface) for video call, in a bid to secure efficient control structure from the combination between totally-different type of device. This paper describes general call processing system for video call, the way how to make it interwork through smart device and the way how to make it apply and realize on smart device.
Blocking in a system on a chip

With more and larger functions being implemented on a single piece of silicon, true systems on a chip are being created. At the physical level, this integration derives from progress in process technology. But from the circuit designers' viewpoint, tools and methods are less help than they might be. In effect, to construct a system on a chip means more than the integration of millions of transistors. A set of complicated and rapidly evolving technologies and standards for telecommunications, multimedia, and PCs must be mastered, too. Also, the software content of most electronic systems has been growing for several years and now often accounts for a major part of the final product and hence of the design effort. Since a system on a chip is a system, a design methodology for generating such complex ICs will frequently have to address the software as well as hardware needs. Further more, as the size and complexity of chips has grown, so too has the task of verification. Verifying the design of a chip containing a million gates of logic presents a formidable challenge of its own. The complexity of large designs calls for a shift in the design paradigm to one based on reusable, high-level building blocks. Currently, most functional blocks are created by hand and are seldom used again. Reusable blocks, though, are not enough. To deliver on the promise of more productivity and less time to market, designers need reinforcements-a methodology and tools with which to integrate the blocks efficiently, plus standards that support the creation of reusable blocks, their exchange, and their integration.
Impact of fuzzy ARTMAP match tracking strategies on the recognition of handwritten digits

Applying fuzzy ARTMAP to complex real-world problems such as handwritten character recognition may lead to poor performance and a convergence problem whenever the training set contains very similar or identical patterns that belong to different classes. To circumvent this problem, some alternatives to the network’s original match tracking (MT) process have been proposed in literature, such as using negative MT, and removing MT altogether. In this paper, the impact on fuzzy ARTMAP performance of different MT strategies is assessed using different patterns recognition problems – two types of synthetic data as well as a real-world handwritten digit data. Fuzzy ARTMAP is trained with the original match tracking (MT+), with negative match tracking (MT-), and without MT algorithm (WMT), and the performance of these networks is compared to the case where the MT parameter is optimized using a PSO-based strategy, denoted PSO(MT). Through a comprehensive set of computer simulations, it has been observed that by training with MT-, fuzzy ARTMAP expends fewer resources than other MT strategies, but can achieve a significantly higher generalization error, especially for data with overlapping class distributions. Generalization error achieved using WMT is significantly higher than other strategies on non overlapping data with complex non-linear decision bounds. Furthermore, the number of internal categories increases significantly. PSO(MT) yields the best overall generalization error, and a number of internal categories that is smaller than WMT, but generally higher than MT+ and MT-. However, this strategy requires a large number of training epochs to convergence.
Representation of multi-connected system of Fuzzy State Space Modeling (FSSM) in potential method based on a network context

The complexity of a system of Fuzzy State Space Modeling (FSSM) is the reason that leads to the main objective of this research. A multi-connected system of Fuzzy State Space Model is made up of several components, each of which performs a function. These components are interconnected in some manner and determine how the overall system operates. In this study, we study the concept of graph, network system and network projections which are the requisite knowledge to potential method. Finally, the multi-connected system of FSSM of type A namely feeder, common feeder and greatest common feeder are transformed into potential method using various method of transformation.
A Multimodal Approach for Image Annotation and Searching

Several models have been prepared for searching images which utilize different techniques. For each of new technique different outcomes are obtained which have probability to search the required image as per user requirement on the basis of query. So targeting the most probable paper makes the very low precision. The basic component here is to collect different features of the image so that searching can be made more effective. The optimization of the searching it is required that all the visual features of the image should utilize. In this paper, the visual content of image is use for annotation with multimodal approach. Proposed work shows the better result as compare to previous works.
VLSI Architecture for Variable Block Size Motion Estimation in H.264/AVC with Low Cost Memory Organization

A 1D full search variable block sizes motion estimation (VBSME) architecture is presented in this paper. By properly choosing the partial sum of absolute differences (SAD) registers and scheduling the add operations, the architecture can be implemented with simple control logic and regular workflow. Moreover, only one single-port SRAM is required to store the search area and then reduces 72.7% hardware cost of SRAM. The design is realized with TSMC 0.18mum 1P6M technology with a hardware cost of 67.6K gates. In typical working condition (1.8V, 25degC), a clock frequency of 266MHz can be achieved
Knowledge discovery from multispectral satellite images

In this paper, we propose a method to extract and reduce fuzzy IF-THEN rules from fuzzy neural systems. After training, fuzzy rules are extracted from the fuzzy neural network by backtracking along the weighted paths through the neural network. These rules are then reduced by use of a fuzzy associative memory (FAM) bank. We used this algorithm to extract classification rules from a multi-spectral satellite image. The image represents the Mississippi river bottomland. In order to verify the rule extraction method, measures such as accuracy, overall Kappa and fidelity are used. The results are presented in the paper.
Analisa Performansi Algoritma Penjadwalan Proportional Fairness Dan Log Rule Dengan Skenario Multicell Pada Sistem 3GPP LTE

Teknologi Long Term Evolution (LTE) dikembangkan dengan tujuan untuk mengurangi biaya yang dikeluarkan oleh pengguna maupun operator jasa telekomunikasi, memperluas daerah jangkauan, menambah kapasitas sistem, dan mengurangi delay. Dengan spesifikasi yang tinggi, LTE diharapkan mampu memberikan kemudahan pelanggan dalam mengakses layanan Voice over IP, Streaming, dan Video Conference. LTE diharapkan mampu memberikan layanan dengan besar throughput yang tinggi dan delay yang rendah. Padahal tidak semua user membutuhkan throughput yang sama besar namun yang dibutuhkan adalah kesesuaian pengendalian delay dan fairness index untuk setiap user dengan tetap memperhatikan batasan throughput. Untuk mendapatkan kinerja dan hasil yang maksimal tersebut pada LTE diperlukan sistem algoritma penjadwalan yang baik. Pada penelitian ini, dianalisis performansi LTE dengan parameter Delay, Packet loss, Throughput, dan Fairness Index menggunakan algoritma penjadwalan Proportional Fairness dan Log Rule pada LTE-Simulator dengan skenario menggunakan trafik VoIP, Video dan Best Effort. Hasil penelitian ini menunjukan bahwa penjadwalan algoritma Proportional Fairness lebih baik dalam menangani layanan VoIP, sedangkan algoritma Log Rule lebih baik dalam menangani layanan Video. Hal ini menandakan kedua algoritma ini sangat cocok digunakan untuk jaringan LTE dengan kondisi trafik layanan real-time, tetapi tidak untuk layanan non real-time seperti layanan Best Effort
Lexical Granularity for Automatic Indexing and Means to Achieve It

The identification and mapping of terminology from large repositories of life science data onto concept hierarchies constitute an important initial step for a deeper semantic exploration of unstructured textual content. Accurate and efficient mapping of this kind is likely to provide better means of enhancing indexing and retrieval of text, uncovering subtle differences, similarities and useful patterns, and hopefully new knowledge, among complex surface realisations, overlooked by shallow techniques based on various forms of lexicon look-up approaches. However, a finer-grained level of mapping between terms as they occur in natural language and domain concepts is a cumbersome enterprise that requires various levels of processing in order to make explicit relevant linguistic structures. This chapter highlights some of the challenges encountered in the process of bridging free to controlled vocabularies and thesauri and vice versa. We investigate how the extensive variability of lexical terms in authentic data can be efficiently projected to hierarchically structured codes, while means to increase the coverage of the underlying lexical resources are also investigated.
Tracking low elevation targets in the presence of multipath propagation

A tracking algorithm based on a measurement model of the multipath propagation effects on the elevation angle measurements is presented. This algorithm does not depend on the specific signal processing and the prevailing environmental conditions. The results of simulations based on several scenarios are presented. The signal processing model used to generate the elevation measurements of a low-flying target with multipath effects is also described. This mode incorporates a spherical Earth and finite target range in the geometry of reflection. The algorithm clearly indicates when the measurements are degraded, in which case it automatically increases the variance of the altitude estimate. >
Implementation and trade-offs of a DCT architecture using high-level synthesis

This paper presents architectural trade-offs of a time-shared implementation of a modified fast discrete cosine transform algorithm using a high-level synthesis tool. The architecture presented here allows time-sharing of operators in different stages. The overhead in control and multiplexing is minimal. A full implementation of an 8/spl times/8 2-D DCT outperforms the original pipelined architecture and a hand-crafted time-shared architecture by reducing the required area by up to 50%. It also improves the latency by up to 70%. It achieves these improvements maintaining the throughput for a 5% decrease in the required critical path timing. The complexity of the 2-D DCT used is higher than the traditional benchmarks for high-level synthesis. This paper shows the effectiveness of the synthesis tool used for large, practical algorithms.
INSUFFICIENCY TO PROVIDE SERVICES AND ITS IMPACT ON CUSTOMER BEHAVIOUR

The insurance industry is one of the most important services in the economy of any country that can bring growth and development of society. Development of the insurance industry depends on to provide appropriate services. Aim of This study is to determine the effect of insufficiency in the delivery of services and its impact on customer behavior (the study of the customers of liability insurance) in the Pars Abad. The Method of this study was descriptivecorrelational. The study sample consisted of all the customers of the insurance office of Pars Abad that the 95 persons who were randomly selected. Data gathering tool is the Basie standard questionnaire. Information obtained through test correlation and regression analysis was analyzed by using SPSS software. Results of research shown that insufficiency in the delivery of services due to the high and low emotional intelligence, personality and relationships of employees by changing customer behavior there is a significant positive relationship. Based on these results, we can conclude emotional intelligence, personality and behavior of the most important factors in changing the behavior of customers. So can be prevented insufficiency in the delivery of services by good training.
An asynchronous architecture model for behavioral synthesis

An asynchronous architecture model for behavioral synthesis is presented. The basis of the model lies in a distributed control structure consisting of multiple communicating processes. Data processing is performed by self-timed modules. Signal transition graphs (STGs) are used to specify the behavior of the control processes. By using existing synthesis procedures for STGs, circuits based on the presented architecture model are proved to be realizable and hazard-free. <<ETX>>
Generative Music from Fuzzy Logic and Probability:A Portfolio of Electroacoustic Compositions

This portfolio of thirteen recorded works was composed as an investigation into the application of generative processes to electroacoustic music, paying particular attention to the use of fuzzy logic and the rule-based constraint of chance events. These works were developed by a rolling process of program design and musical composition, focusing on two areas: the generation and transformation of large groups of sounds within a multi-dimensional parameter space for acousmatic composition (using the author’s software, Audio Spray Gun) and the real-time selection of sounds using audio descriptors, principally for live performance by instrument and electronics. Later stages of the project attempted to unite these processes in two ways: by the agent-based generation of large sound-groups for multichannel audio from live instruments or pre-recorded audio datasets and by the software generation of such groups for fixed-media composition using trajectories and transformations in ‘timbre space’. An accompanying document charts the development of these works with a programme note, technical discussion and performance records for each, along with spectrograms and scores as appropriate. It also describes the programming methods used and discusses the implications and limitations of these approaches, particularly for object-based spatial music and timbre selection.
Speed Performance Analysis and Control of DC Servomotor Using Linear & Nonlinear Controller

The speed control system is one of the interesting terms in control system engineering. Nowadays several control system algorithm have been applied in that application. PID controller is a well known controller and widely used in feedback control in industrial processes. For speed control system sometime PID controller is not accurate for this application because of non linear element present in the system. Therefore in this research the fuzzy logic controller and IMC controller is proposed to overcome the problem of PID controller. Fuzzy logic controller and IMC controller has an ability to overcome the problem of PID controller. A mathematical model of the process has been developed using real plant data and then conventional controllers, Fuzzy logic controller and IMC controller has also been designed. A comparative analysis of performance evaluation of all controllers has been done.
Research on Application of RFID Technology in Tool Identification and Information Management

In order to make the recognition efficiency and facilitate the management of tool are improved, in this paper, the RFID technology is applied in the automatic identification system of tool, the Access is used as the tool information database of background, the database management system of tool query and management is developed by the LabVIEW software, the communication protocol is compiled which based on the upper compute and lower computer of VISA, the interface design between LabVIEW and Access database is completed by using ActiveX, the rapid identification and information management of the tool is achieved.
Amorphous‐oxide TFT backplane for large‐sized AMOLED TVs

Abstract— Amorphous‐oxide thin‐film‐transistor (TFT) arrays have been developed as TFT backplanes for large‐sized active‐matrix organic light‐emitting‐diode (AMOLED) displays. An amorphous‐IGZO (indium gallium zinc oxide) bottom‐gate TFT with an etch‐stop layer (ESL) delivered excel lent electrical performance with a field‐effect mobility of 21 cm2/V‐sec, an on/off ratio of >108, and a subthreshold slope (SS) of 0.29 V/dec. Also, a new pixel circuit for AMOLED displays based on amorphous‐oxide semiconductor TFTs is proposed. The circuit consists of four switching TFTs and one driving TFT. The circuit simulation results showed that the new pixel circuit has better performance than conventional threshold‐voltage (VTH) compensation pixel circuits, especially in the negative state. A full‐color 19‐in. AMOLED display with the new pixel circuit was fabricated, and the pixel circuit operation was verified in a 19‐in. AMOLED display. The AMOLED display with a‐IGZO TFT array is promising for large‐sized TV because a‐IGZO TFTs can provide a large‐sized backplane with excellent uniformity and device reliability.
Inter-Cell Coordinated Napping (CoNap) for Energy Saving in Cellular Networks

• Power efficiency (PE) or energy efficiency (EE) has become one of the important metrics of cellular communication systems [1], [2]. • Base station (BS) is a major power consumer in the wireless network, i.e., more than 50% of the whole network power is consumed at BSs. • Hence, the network power/energy consumption can be effectively reduced by reducing the power/energy consumption of the BS.
ANFIS synthesis by hyperplane clustering

Adaptive neuro-fuzzy inference systems (ANFIS) are one of the most popular types of fuzzy neural networks. An usual approach to the synthesis of ANFIS networks is based on clustering a training set of numerical examples of the unknown mapping to be approximated. Several different clustering procedures can be adopted for this purpose, but most of them are affected by serious drawbacks. We propose a novel clustering approach in order to overcome these problems. It determines directly the consequent part of ANFIS rules; successively, the fuzzy antecedent part of each rule is determined by using a Min-Max classifier. The resulting ANFIS architecture is optimized by means of a constructive procedure, which we further propose in the paper. It allows us to determine automatically the optimal number of rules by applying well-known results of learning theory. Simulation tests and comparison with other techniques are discussed in order to prove the validity of the proposed approach.
Tracking spectral resonances

An adaptive filter approach that tracks the time-varying parameters of the vocal tract and updates the parameters during the glottal closed phase interval can reduce the formant estimation error. The authors describe three adaptive algorithms for estimating time-varying vocal track parameters: weighted recursive least squared (WRLS), WRLS with variable forgetting factor (WRLS-VFF), and weighted least squared lattice (WLSL). A recursive equation to update the forgetting factor in the WRLS-VFF algorithm is derived, and experimental results for both synthetic and real speech for the above algorithms are given. Results show that the WRLS-VFF algorithm offers a more accurate formant estimation and a faster formant tracking ability than either the WLSL or the WRLS algorithm. <<ETX>>
Scientific Data Management Challenges in High-Performance Visual Data Analysis

Author(s): Bethel, E. Wes; Childs, Hank; Mascarenhas, Ajith; Pascucci, Valerio; Prabhat | Abstract: Visualization is a highly data intensive science: visualization algorithms take as input vast amounts of data produced by simulations or experiments, and then transform that data into imagery. It turns out, as we shall explore in this chapter, that visualization reveals a somewhat different view of scientific data management challenges than are examined elsewhere in this book. For example, a data ordering and storage layout that works well for saving data from memory to disk may not be the best thing for subsequent visual data analysis algorithms. This chapter will present four broad topic areas under this general rubric: (1) a view of SDM-related issues from the perspective of implementing a production-quality, parallel capable visual data analysis infrastructure; (2) novel data storage formats for multi-resolution, streaming data movement, access and use by post-processing tools; (3) data models, formats and APIs for performing efficient I/O for both simulations and post-processing tools, discussion of issues and previous work in this space; (4) how combining state-of- the-art techniques from scientific data management and visualization enables visual data analysis of truly massive datasets.
A visual solution to modular neural network system development

In this paper, a visual software tool (called MNN-CAD) for modular neural network system development is introduced. Its major functionalities such as constructing, training and testing a modular system are described. Its open-structure implementation is explained. Finally, the application of MNN-CAD in an automotive occupant spatial sensing problem is presented.
Characterization of opens in logic circuits

We present an algorithm for extracting opens in rectilinear circuit layouts using a plane-sweep technique. An implementation of the algorithm is used to characterize realistic opens in combinational circuit layouts. The occurrence of three types of opens possible in standard cells is examined. The number of single and multiple stuck-at faults due to opens in benchmark circuits is determined, assuming that floating nodes cause stuck-at faults. The distribution of open critical area between cells and routing, and between circuit layers is measured for the benchmark circuits. <<ETX>>
Watch-grab-arrange-see : thinking with motion images via streams and collages

Filmmakers experience a creative reverie seldom enjoyed by novices. That reverie comes as one pieces together thoughts embodied in motion images. This thesis borrows the manipulation of motion images from editing for the purposes of viewing. It suggests a collection of tools for grabbing elements from video streams and for manipulating them as a way of critical viewing. Motion images are usually conveyed sequentially. The tools suggested here allow a viewer to transfer from sequential image streams to collages of parallel images. The video streamer presents motion picture time as a three dimensional block of images flowing away from us in distance and in time. The streamer's rendering reveals a number of temporal aspects of a video stream. The accompanying shot parser automatically segments any given video stream into separate shots, as the streamer flows. The collage provides an environment for arranging clips plucked from a sequential stream as associations of parallel elements. This process of arranging motion images is presented as an engaging viewing activity. The focus is on viewing utensils, but these tools provide an alternative perspective to video elements that also has bearing on editing.