Miracle-dz/UniFAR-FTUs huggingface dataset:
General-purpose Reconfigurable Functional Cache architecture

A machine that is configurable has the ability to control the run time environment to suit the task being executed. Customizing the processor hardware according to the specific requirement of various applications is an extension to the idea of reconfigurability. Reconfigurable cache architecture gives us the flexibility to dynamically alter the execution logic of a processor, customized to a specific application. Reconfigurable Functional Cache Architecture uses a dynamic resource configuration of on-chip cache memory by integrating Reconfigurable Functional Caches (RFC). The limitation of the RFC is the fact that the RFC can be customized for a couple of Multimedia and DSP based applications and cannot be utilized for real world applications. In this thesis we propose a new scheme to use the on-chip cache resources with the goal of utilizing it for a large domain of generalpurpose applications. We map frequently used basic blocks, loops, procedures, and functions, from a program on this reconfigurable cache. These program blocks are mapped on to the cache in terms of basic ALU instructions, along with the flow in terms of the dependencies between them. The cache module is configured into stages performing specific ALU instructions. Each stage behaves like a reservation station, waiting on its operands to be ready and then performing its function. The proposed broadcast mechanism is similar to the result bus, providing the result to consuming instructions and stages. Architecturally visible extra registers are added to route the input operands to the stages and read the result. In short, a program segment along with its data flow graph can be mapped on to the cache. Our scheme increases cache access time by 1.3%. Our studies with the code corresponding accounting for 12-15% of the go benchmark show a maximum of 6.5% reduction in execution time for a 16
PERFORMANCE ANALYSIS OF AODV AND DSR ROUTING PROTOCOLS FOR WIRELESS SENSOR NETWORKS

Wireless sensor networks have wide variety of applications. This paper compares the two protocols in a group of Reactive Protocols is ad hoc on demand distance vector protocol (AODV) and dynamic source routing protocol (DSR) for wireless sensor networks. By comparing and analyzing the performance of various aspects as follows: Packet sent, Packet received, Packet loss, Packet delivery ratio, Average of Throughput, and Average of Energy consumption using the Network Simulator ns-2.
Robust AC Voltage Regulation of Microgrids in Islanded Mode with Sinusoidal Internal Model

: This paper shows that the H ∞ control is an e ﬀ ective tool for electric voltage regulation. We here consider robust AC voltage regulation of microgrids in an islanded mode. When a microgrid is disconnected from a utility grid, it automatically switches to an islanded mode to provide necessary power using a battery system until the grid is recovered. In the islanded mode, it is important to regulate the electric voltage generated in the grid to track a predetermined AC voltage reference. A di ﬃ culty is that there exits unmodeled dynamics in the grid that may cause large power ﬂuctuations. To resolve this problem, we adapt the H ∞ control with a sinusoidal internal model to robust AC voltage regulation in microgrids. Simulation and experimental results conﬁrm that the proposed H ∞ control can achieve robust tracking performance.
Can hierarchical models display parallel cortical dynamics? A non-hierarchical alternative of brain language theory

Muding, Dubarry and Alario (henceforth MDA) provide in their target article (2015) a much-needed synthesis of MEG evidence related to language production. The outcome of this work is both important and surprising: Important because it allows for the first time to have an integrative view on the available data concerning the spatiotemporal dynamics of language production processes; and surprising because it highlights a sequence of brain activities which considerably diverge from the traditional way many MEG evidence in the field is reported. While most MEG studies, especially those involving picture naming (e.g., Salmelin et al., 1994; Levelt et al., 1998; Soros et al., 2003; Hulten et al., 2009; Liljestrom et al., 2009; Laakson et al., 2012), typically are cited to support a sequential, serial-like processing structure between different word production components (e.g., Indefrey & Levelt, 2004; Indefrey, 2011), the current review demonstrates that the latter is not always the optimal interpretation of the data. Instead, the data seems to support cascading and parallel dynamics underpinning speech preparation in the brain. Although I fully agree with the latter important demonstration, I do wish to comment on certain theoretical aspects of the article. In particular, I question whether it would not be more revealing to address these MEG data from the perspective of hierarchical versus non-hierarchical model architectures, rather than the serial versus cascaded/parallel processing dynamics the authors focus on.
A modification of Wu and Palmer Semantic Similarity Measure

-Context-aware applications are intended to facilitate the adaptation of services in a pervasive computing system. The semantic similarity between contexts and the application of a semantic similarity measure as a mechanism for service adaptation are topics that have yet to be thoroughly explored in the literature. The most developed semantic similarity measures are those applied to the ontological / taxonomic representation of the context. The Wu and Palmer semantic similarity measure is one of these measures that is characterized by its simplicity and high performance, but it can give inaccurate results because two concepts in the same hierarchy of an ontology may show a lower similarity than two concepts belonging to different hierarchies. In this work, we present a modification to improve the accuracy of this measure.
A Study on the Status and Future Directions of IT Convergence Policy by the Ministry of Food, Agriculture, Forestry and Fisheries in Korea

Research and technology has been transforming the agriculture to agribusiness which encompasses all operations with all the connections from faming per se, to man-ufacture & distribution of production supplies and farm commodities. Further, with the revolutionary development of information technology in the last two decades, we cannot talk about agribusiness process alone without considering the information technology embedded in the artifact, process, and structure. Despite the emergence of precision agriculture (PA) which is supported by IT based innovations which can not only improve efficiency in farming operations but also contribute to environmental sustainability, the adoption of IT among farmers and in agriculture industry are rather low than expected. Thus, Korean government has been seeking to converge IT into food, agri-culture, forestry and fisheries to improve the competency of the agribusiness, and much progress has been made.
Efficient Processing of Queries and Assertions about Qualitative and Quantitative Temporal Constraints

A critical problem for managers of temporal information is the treatment of assertions and of complex types of queries because in many cases the treatment could involve reasoning on the whole knowledge base of temporal constraints. We propose an efficient approach to this problem. First, we show how different types of queries can be answered (in a complete way) in a time polynomial in the dimension of the query and independently of the dimension of the knowledge base. Second, we provide an efficient (and complete) procedure to deal with sessions of interleaved assertions and queries to the knowledge base. We provide both analytical and experimental evaluations of our approach, and we discuss some application areas.
Rule Optimization of Web-Logs Data Using Evolutionary Technique

Web usage mining can extract useful information from Weblogs to discover user access patterns of Web pages. Web usage mining itself can be classified further depending on the kind of usage data. This may consider Web server data, application server data, or application level data. Web server data corresponds to the user logs that are collected at Web servers. Some of the typical data collected at Web server are the URL requested, the IP address from which the request originated, and timestamp. Weblog data is required to be cleaned, condensed, and transformed in order to retrieve and analyze significant and useful information. This chapter analyzes access frequent patterns by applying the FP-growth algorithm, which is further optimized by using Genetic Algorithm (GA) and fuzzy logic.
Cognitive Ad Hoc Network Dynamic Spectrum Access Channel Strategy

This article is based on the existing dynamic channel access strategy, proposes a cognitive MAC layer channel access strategy. First of all, from the physical layer of cognitive radio spectrum detection technology to detect the idle spectrum, provide cognitive users can access channel; Second, in the network, their cognitive users maintain a realtime update list of channel state, this strategy according to channel state list to find two cognitive users need communication overlapping channels are available, and calculate the overlapping each sum of the available channel utilization rate of the primary user; Finally choose the utilization ratio of the sum of the minimum channel for data transmission, improve the data channel available transfer time. The simulation results show that the strategy under the condition of without affecting the main user communication can make the cognitive users to make full use of the authorized spectrum, improve the network throughput.
Classification of heart sound signals using autoregressive model and hidden markov model

This study presents a Computerised Heart Diagnostic System (CHDS) for classifying the different types of heart sounds. A major part of cardiac diagnosis consists of cardiac auscultation. In this study, we developed a simple model, which generates signals for heart sounds. This model could help in identifying the features for assisting in cardiac diagnosis. Additionally, we have also developed a new framework for the CHDS system, which is based on different features of Autoregressive (AR), Mel Frequency Cepstrum Coefficient (MFCC), and Hidden Markov Model (HMM). This system assists in data segmentation, data acquisition, and the time-frequency data transformation, which are generally applied in the AR and the MFCC models in the form of dependable traits. Moreover, this system helps in studying the cardiac auscultation analytically and it helps in monitoring and analysing the complex signals, which represent the heart murmur sounds. Furthermore, the system contains various steps related to data segmentation, signal pre-processing, and steps for pattern recognition. In this study, we have applied many HMM models along with carrying out various experiments for the testing of our model. One major advantage of this system is the fact that it can measure the heart sound signals from several points instead of focusing on a single point. In our study, we have observed that a multi-point heart position provides better and more sensible results as it reflects closely the way the physician examines the subject; listening to the various location before deciding where the targeted sound is best heard. This major issue is not taken into account in most study in this area when designing an automated heart sound analysis system.
RAM-search algorithms for nonlinear ISI cancellation in magnetic recording

We discuss two algorithms for mitigating the deleterious effects of nonlinear intersymbol interference (ISI) in PR4- and EPR4-equalized magnetic recording channels. We call them RAM-search algorithms as they borrow the idea of employing a RAM (random access memory) from the RAM-DFE, and because they involve a search. The algorithms have been devised to circumvent the error propagation problem that arises in making tentative decisions in ISI cancellers used together with partial response signaling. Adopting a simple partial erasure model for the magneto-inductive head and a third-order polynomial model for the magneto-resistive head to represent the nonlinear distortion, we show that improvements of about 3 dB are possible.
Real-Time Knowledge Map Services on National R&D Data

The National Science & Technology Information Service (NTIS) provides knowledge map services with an integrated information of national R&D information and science & technology information. In order to solve the request of the users in real time, this paper presents a real-time knowledge map service that retrieves and aggregates the needed data and creates the map services on the fly. To select and aggregate the needed information on the fly, we used the slice and dice method, which is one of the most widely used methods in data warehousing and on-line analytical processing (OLAP) approach. In addition, we show some examples of knowledge map services, which analyze and visualize the status and the topic-trend of the national R&D information based on the real-time data selection and aggregation. Knowledge Map; Map Service; NDSL-NTIS; Real-Time Analysis ; Slice and Dice
Development of a User Model Evaluation Technique for Hypermedia Based Interfaces

The model underlying the interface and its interpretation by the user is a key element of successful interface usage (Chignell and Hancock, 1986; Norman, 1986). Some of the critical characteristics of the system model that determine its effectiveness are: 1) the proximity between the user's model and the system model, 2) how well the system model is matched to its application, and 3) how easily the system model lends itself to navigation through the interface. Several interesting issues arise from studying these system model characteristics. One of these is how the system model can be built in order to meet the needs of all users. Ideally, a system model must be flexible to meet the requirements of users from varied knowledge bases and computing experience, yet must be specific enough to perform its function in an efficient manner.
Programming in Scala: Updated for Scala 2.12

Scala is an object-oriented programming language for the Java VirtualMachine. In addition to being object-oriented, Scala is also afunctional language, and combines the best approaches to OO andfunctional programming.In Italian, Scala means a stairway, or steps. Indeed, Scala lets you step up to a programming environment that incorporates some of the best recent thinking in programming language design while also letting youuse all your existing Java code.Artima is very pleased to publish a new edition of the best-sellingbook on Scala, written by the designer of the language, Martin Odersky.Co-authored by Lex Spoon and Bill Venners, this book takes astep-by-step tutorial approach to teaching you Scala. Starting with thefundamental elements of the language, Programming in Scala introducesfunctional programming from the practitioner's perspective, anddescribes advanced language features that can make you a better, moreproductive developer.
Topolog yPreservin gan dControlle dTopolog ySimplifying Multiresolutio nIsosurfac eExtraction

Multiresolution methods are becoming increasingly important tools for the interactive visualization of very large data sets. Multiresolution isosurface visualization allows the user to explore volume data using simplified and coarse representations of the isosurface for overview images, and finer resolution in areas of high interest or when zooming into the data. Ideally, a coarse isosurface should have the same topological structure as the original. The topological genus of the isosurface is one important property which is often neglected in multiresolution algorithms. This results in uncontrolled topological changes which can occur whenever the level-of-detail is changed. The scope of this paper is to propose an efficient technique which allows preservation of topology as well as controlled topology simplification in multiresolution isosurface extraction. CR Categories: G.1. 2 [Numerical Analysis]: Approximation— Approximation of Surfaces and Contours I.3. 5 [Computer Graphics]: Computational Geometry and Object Modeling—Curve, surface, solid, and object representations
THE USE OF EYE TRACKING TO ASSESS THE USABILITY OF UNIVERSITY WEBSITE

Websites, nowadays, are used not only as a sales method and information tool, but also as a communication tool. Almost every company has a website. Universities and colleges understand their strength, too. In this article, we describe theory of usability of university website and one of the usability testing methods—eye tracking. We use eye tracking to assess the usability of University of Žilina website. We present and use different analysis: Scan Path and Focus map. We identify many usability problems whose removal will help to create new pages and, thus, increasing their effectiveness.
Off-Policy Reinforcement Learning with

In this paper, we present a method for approximate RL using GPs that has provable convergence guarantees in the off- policy setting. More specifically, a model-free off-policy ap- proximate reinforcement learning technique, termed as GPQ, that uses a GP model to approximate the value function is presented. GPQ does not require a planner, and because it is off-policy, it can be used in both online or batch settings even when the data is obtained using a safe or exploratory policy. In addition, we present an extension of GPQ that uses a heuristic exploration strategy based on the GPs inherent measures on predictive confidence. In addition to presenting the GPQ framework, sufficient conditions for convergence of GPQ to the best achievable optimal Q-function given the data (Q ∗ ) are presented in the batch and online setting, and it is shown that these properties hold even if new features are added or less-important features removed to maintain computational feasibility. Our work also contributes to off- policy approximate RL in general, because unlike other recent papers on off-policy RL with fixed-parameter linear function approximation (4, 11−13) , our approach allows the basis func- tions to be automatically identified from data. Furthermore, our condition for convergence reveals why in the batch case GPQ or kernel base fitted Q-Iteration (3) could lead to divergence in the worst case, and how the divergence can be prevented by tuning a regularization-like parameter of the GP. A practical online implementation of this framework that makes use of a recent budgeted online sparse GP inference algorithm (14) is empirically demonstrated, and it is theoretically shown how the sparsification affects GPQs performance in the batch case. Our theoretical and empirical results show off-policy RL using a GP provides provable convergence guarantees and competitive learning speeds.
Corporeality of Music and Sound Sculpture

This article aims to sketch a theory of sound sculpture, one that would explain the variety of forms this artistic practice might take on and define it in relation to other art forms. My hypothesis is that in order to do this we must focus on the traits of sound sculpture connecting it to music rather than on those separating the two. A useful instrument to analyse this connection is Harry Partch’s concept of corporeal music. In contrast to Western classical music, which he viewed as abstract and devoid of life, Partch envisioned a music that would emphasise the physicality of sound-making and engage the listener on a more visceral level. Investigating a number of works from all parts of the sound sculpture spectrum, I argue that all the various practices that comprise the art form present the core traits of Partch’s musical ideal (physicality of music, audience engagement, and unity of the sonic and the visual) to a substantial extent. Analysing sound sculpture in light of its connection to music brings to the fore a number of musical issues for which this new art form provides a new perspective. Among these are the agency of the composer and the listener, the function and nature of a score, as well as the role of technology in music-making. These issues, along with the general idea of corporeality of music, compose a discourse that transcends the boundaries of different subgenres of sound sculpture, allowing for theorisation of the art form as a whole.
Acoustic–Phonetic Analysis for Speech Recognition: A Review

ABSTRACT This paper reviews the literature related to the acoustic–phonetic analysis of speech and the speech recognition approaches that use these types of knowledge. At first, acoustic–phonetic cues that are important for recognition of different sound units are presented. This include description of the acoustic–phonetic events, literature related to analysis and automatic detection of the events, and significance of the events in automatic speech recognition. Next, different speech recognition approaches are discussed and the literature related to the use of acoustic–phonetic knowledge by these approaches are reviewed. Finally, different approaches are compared and a framework suitable for recognition of phones present in syllable-like units is proposed.
Coordination In Large Agile Projects

Faced with rapid changes in technology and business environments, more and more information technology (IT) practitioners and researchers are advocating agile methods, which aim to increase customer satisfaction, eliminate waste, accelerate the development process, and lower defects rates. Agile methods, which initially were aimed at small projects, face several challenges when applied to large software projects, however. Concentrating on the challenges of coordinating large agile projects, this study identifies three dimensions of coordination--decision-making structure, communication, and control—and proposes a research framework and a set of propositions to address coordination challenges in large agile projects. Three published case studies are used to illustrate and strengthen the propositions
Wireless e-Notice Board with text to audio conversion

This paper describes the improvements that can be brought in the current method of displaying a notice by use of wireless transmission techniques. The paper puts forth a display device which is controlled through an arduino microcontroller. The arduino receives input in the form of text from a SIM-300 GSM module from an authorized user. The text is displayed on Video Graphics Array (VGA) display device by interfacing the arduino controller with MicroVGA. This text can also be made available in audio form by using a text to speech converter like EMIC2
Description and recognition of curved objects

The author presents an approach to the approximation of curves for the description and recognition of curved objects. One needs only to make a rotation and a scaling respectively to a circular arc to find the longest arc of the approximation of the part of a curve which might contain linear segments. As all points in the curve are independent from each other in computing, it is easy to use a parallel algorithm for fast computing. Experiments on several high resolution tactile images show the algorithm behaves well. This method can also be extended to the recognition of occluded curved objects. <<ETX>>