Miracle-dz/UniFAR-FTUs huggingface dataset:
Threshold-voltage balance for minimum supply operation [LV CMOS chips]

The difference between the threshold voltages V/sub t/ of pMOS and nMOS transistors is a critical issue in the low-voltage operation of CMOS circuits. The pMOS/nMOS V/sub t/ balancing profit is analyzed in terms of subthreshold leakage current and the performance of CMOS LSIs and the minimum supply voltage of logic circuits. Matching the pMOS/nMOS V/sub t/ improves LSI performance and reduces the lowest supply voltage by 0.15 V. We propose a new concept of body bias management that uses forward biasing, fluctuation compensating, and V/sub t/ matching technologies to resolve the issue.
Recent trends of meta-heuristics applications in power systems

Electric utilities are quite interested in operational cost saving measures. This implies that the global optimization technique is more attractive in power system operation and planning. As typical meta-heuristics, the tabu search (TS), genetic algorithm (GA) and simulated annealing (SA) have widely been adopted. TS is an extension of the hill-climbing method in a sense that TS has adaptive memory in the hill-climbing method. It is noteworthy that TS is a transition-type algorithm like chaos search. GA comes from the natural selection of genes in biology. Genetic operations improve the quality of solution in the multi-point solution search process. SA is based on the analogy of annealing of crystal or metal in heat bath. As temperature of SA parameter cools down, the solution converges. In particular, TS is more attractive due to the good performance. In this paper, applications of TS to power systems are discussed.
Towards a realtime Twitter analysis during crises for operational crisis management

Today's crises attract great attention on social media, from local and distant citizens as well as from news media. This study investigates the possibilities of real-time and automated analysis of Twitter messages during crises. The analysis was performed through application of an information extraction tool to nearly 97,000 tweets that were published shortly before, during and after a storm hit the Pukkelpop 2011 festival in Belgium. As soon as the storm hit the festival tweet activity increased exponentially, peaking at 576 tweets per minute. The extraction tool enabled analyzing tweets through predefined (geo)graphical displays, message content filters (damage, casualties) and tweet type filters (e.g., retweets). Important topics that emerged were 'early warning tweets', 'rumors' and the 'self-organization of disaster relief' on Twitter. Results indicate that automated filtering of information provides valuable information for operational response and crisis communication. Steps for further research are discussed. © 2012 ISCRAM. Environmental Systems Research Institute, Inc. (ESRI)
Analysis and encoding of speech for a parallel formant synthesizer

The authors develop a robust algorithm for formant amplitude estimation using analysis-by-synthesis techniques. The results of this study indicate the possibility of a viable alternative to the complex and time-consuming JSRU analysis procedure for the parallel formant synthesizer. The proposed amplitude estimation algorithm incorporates a more accurate software model of the synthesizer in an analysis-by-synthesis loop and reduces complexity by adopting a fixed frame rather than a pitch synchronous approach. Tests with synthetic speech have shown that essentially the same set of amplitudes can be recovered by this method, and good quality speech has been obtained by analysis of natural speech. Further refinement of the algorithm is required to treat special cases such as merged formants and to reduce the effects of occasional errors due to pitch pulse misalignment. <<ETX>>
Orthoimages of the outer walls and towers of the château de Chambord

Abstract. The château de Chambord is one of the most famous castles in the world as it is an emblem of French Renaissance architecture. It was built at the beginning of the 16th century and has been part of the UNESCO World Heritage list since 1981. The monitoring of such a monument involves the organization and visualization of data sets such as archive documents, survey data, scientific documentation, restoration reports, meteorological data, etc. This process requires the realization of a support for documentation which may be an orthoimage. A photogrammetric survey was recently performed, in the framework of the traditional fieldwork of the students in the PPMD master's degree (Specialized Master’s in Positionning, Photogrammetry and Deformation Measurement) at the French National School of Geographic Sciences (ENSG). High resolution images were taken from the ground level, using two off-the-shelf reflex cameras, equipped with a 35 mm, a 100 mm and a 200 mm focal length lens according to the needs. The MicMac software was used for the bundle adjustment, the georeferencing and the dense correlation procedures, including orthoimage calculation. Added to plane-based orthoimages, cylinder-based orthoimages were generated for the 2D representation of the outer walls of the château de Chambord including facades and towers. Fitting the 2D projection to the mean characteristics of the geometry has a promising documentation potential for GIS applications in heritage studies.
Libraries Using Evidence - eblip.net.au

Northern Sydney Central Coast Health and The University of Newcastle, Australia, are proud to introduce Libraries Using Evidence – eblip.net. au , a new Australian site being developed to support library practitioners from all sectors adopt the theory of evidence-based library and information practice (EBLIP). The site will include a directory of current evidence-based research, projects and activities; a current awareness feed; a gateway to support from the international evidence-based library and information practice community; and pathways to help put the theory into practice including, the EBLIP Toolkit (October 2006) and PEBL – a Project methodology for Evidence-Based Libraries (early 2007).
Design and Implementation of an Online Brain Computer Interface System

Brain Computer Interface is the communication channel between the brain and the computer for recording of electrical activity along the scalp produced by the firing of neurons within the brain. The brain signals which are also known as Electroencephalography (EEG) can be used to direct and control some external activity. This work reports a methodology for acquisition and detection and of EEG signals, and extraction of useful information in order to differentiate the signals related to particular type of movement. A modified Common Spatial Pattern (CSP) algorithm has been used at preprocessing stage. Logarithmic transform along with the information theoretic feature extraction has also been used for feature extraction. KNN, SVM and Artificial Neural Networks are employed for classification. The proposed methodology is tested on publically available data sets and the results are found to be comparable with the published approaches.
Optimal forward link power allocation for data transmission in CDMA systems

The paper considers optimal forward link power allocation for data transmission in DS-CDMA systems. Acceptable quality voice communications in DS-CDMA can be achieved through the application of the forward error correction (FEC). Due to stringent requirements on signal delay, no retransmission is allowed in voice only systems. Highly reliable data transmission over wireless channels, however, can be achieved with hybrid automatic-repeat-request (ARQ) schemes. The average power allocated to data users then needs to be calculated as the actual link transmitted power times the average number of times that a data packet must be transmitted before it is accepted. Since a base station's total power available to mobiles is limited, there is an optimum power allocated to every data user in the cell, which maximizes the system capacity. The optimal power allocation can be described as the stochastic nonlinear programming optimization problem. Numerical results are presented to illustrate the problem. The powers allocated to data users are location dependent, but the numerical results demonstrate that the mean signal-to-interference ratio (SIR) is location independent when the optimal power allocation is achieved.
Improving parallelism in I/O systems

The problem of improving the performance of external merging in a parallel I/O system using read-ahead prefetching and disk scheduling is studied. A Markov model is developed and numerically solved for a two-disk two-run system. Larger configurations are studied using simulation. A scheduling algorithm to maximize I/O parallelism is also presented.
Fuzzy logic controller for maximum power tracking in line-commutated photovoltaic inverter scheme

The paper presents simulation and implementation of a photovoltaic fuzzy logic tracking controller. The purpose is to track the maximum available solar power in a photovoltaic array interfaced to an electric utility grid via a line-commutated inverter. The scheme shows a satisfactory performance with almost an agreement between the simulation and experimental results. <<ETX>>
Extraction Research about Parallelization of Named Entity Based on Hadoop Platform

With the era of big data approaching, data becomes more and more important. Faced with such massive amounts of data space, how to quickly identify the contents of a field that the users are interest in and extract them out, is an urgent problem to be solved. To identify the content that users are interested in, we can use NLPIR Chinese word segmentation framework for speech segmentation, and identify named entity according to part of speech tagging. For extraction, using Hadoop, parallel cluster platform based on a big data MapReduce framework, using the Hadoop Distributed File System (HDFS) for efficient data access and starting Map and Reduce tasks to extract the information of named entity. This task extracts the required information from the interactive encyclopedia and then stores them in the knowledge base. It implements the task of extracting the information data of parallelization of named entity based on Hadoop platform.
Usability Testing of a Website about Alcohol and Health:A Case Study

Many health online resources addressed to the general public lack usability and their content is frequently difficult to understand. This case study evaluates the usability and the effectiveness of information presentation of the “Alcol e Salute” website, using two methods: heuristic evaluation and user testing. The results of the usability testing analysis revealed several key weaknesses with respect both to navigation and information display. These results will be used to revise the website accordingly.
Leveraging Crowdsourcing and Human Computation to Enhance Student Learning

Computing performance and algorithms have advanced signicantly in recent decades; however, there are still challenges that computers cannot solve easily (or at all) such as visual puzzles, tasks requiring creativity, and educational pedagogy development. In this work, we present a crowdsourcing approach to help educators generate, test, and improve quiz and test questions by developing a collaborative, net- worked game, which enhances student learning. Crowdsourcing algorithms coordinate human ingenuity and computing scalability to perform complex tasks that neither humans nor computers could accom- plish alone. Our `Brains and Bets' application automatically generates quiz questions from any block of text, uses the questions in a distributed game environment, and uses crowdsourcing to collect statistics and feedback on the questions to gain insight into quiz question quality. One of the challenges of using player feedback to guide quiz question generation is due to the human aspect of this project since there can be inconsistencies with the feedback that the players provide. This paper describes the Brains and Bets design and architecture as well as the methods of utilizing the program for crowdsourcing quiz question generation. The paper also presents an experimental test of current computer science students and the feedback given. In the future, this project will be updated and rened as an educational tool for professors and students in addition to the renement of English linguistics recognition.
Applying a novelty filter as a matching criterion to Iris recognition

Currently there is an increasing demand for human-recognition systems using Iris as a pattern for representing a person's identity. A typical Iris recognition system is composed of four steps: image acquisition, iris segmentation, feature extraction and matching. This paper focuses on the matching step. Particularly, it is proposed a new method of iris matching, the Novelty Filter, tailored to compare real-valued feature vectors instead binary feature vector. The validation of the new matching measure proposed was done considering two utilization modes of the biometric system: verification mode and identification mode. According to the experimental results the novelty filter can be an exemplary technique for matching iris patterns.
DO THE PROCESSING OF ARABIC NUMBERS AND NUMBER WORDS DIFFER IN TASKS OF MAGNITUDE

Virtually all numbers that people experience in everyday life appear either as Arabic numerals or as verbal names. The two notations may engender different kinds of processing. In order to tap them, an Arabic number and a number word appeared on a trial, and the observer's task was to decide if the Arabic number was larger or smaller than a standard. In a complementary condition, the relevant number for comparison was the number word. Comparisons with Arabic numbers were free of interference from the irrelevant number words. In contrast, the comparisons of number words were affected by the irrelevant Arabic numerals. This pattern of results supports Dehaene's (1992) triple code model by which Arabic but not verbal numerals have privileged access to an analog-magnitude representation .
Java reflection in action

Preface 1 A few basics 2 Accessing fields reflectively 3 Using dynamic loading and reflective construction 5 Call Stack Introspection 6 Using class loaders 7 Reflective Code Generation 8 Design Patterns 9 Performance 10 Looking forward A Reflection and Metaobject Protocols B Hello World Program C UML Glossary References Index
Implementation of PI Controller for 4ф Srm Drive Using TMS320F28335

This paper presents the experimental investigation of DSP based 4Ф Switched Reluctance Motor (SRM) Drive. SRM is a doubly-salient, singly-excited machine and having very simple construction, has a low inertia and allows an extremely high-speed operation. The control system of SRM is highly complex due to non linear nature. In such a system for implementing control algorithm needs high speed processor. In this work TMS320F28335 DSP processor is used to implement the inner loop PI current controller and outer loop PI speed controller. The TMS320F28335 is highly integrated, high performance solution for challenging control applications. The various experimental tests are carried out in 1 HP 4Ф SRM. The experimental results are reported in order to verify the steady state, transient and robustness performance of the controller.
Modeling Routines and Organizational Learning. A Discussion of the State-of-the-Art

This paper presents a critical overview of some recent attempts at building formal models of organizations as information-processing and problem-solving entities. We distinguish between two classes of models according to the different objects of analysis. The first class includes models mainly addressing information processing and learning and analyzes the relations between the structure of information flows, learning patterns, and organizational performances. The second class focuses on the relationship between the division of cognitive labor and search processes in some problem-solving space, addressing more directly the notion of organizations as repositories of problem-solving knowledge. Here the objects of analysis are the problem-solving procedures which the organization embodies. The results begin to highlight important comparative properties regarding the impact on problem-solving efficiency and learning of different forms of hierarchical governance, the dangers of lock-in associated with specific forms of adaptive learning, the relative role of “online” vs. “offline” learning, the impact of the “cognitive maps” which organizations embody, the possible trade-offs between accuracy and speed of convergence associated with different “decomposition schemes”. We argue that these are important formal tools towards the development of a comparative institutional analysis addressing the distinct properties of different forms of organization and accumulation of knowledge.
An auto-backgate-controlled MT-CMOS circuit

As various portable systems get popular, the reduction of the power dissipation in LSIs is becoming more essential. The scaling down of both the supply voltage and threshold voltage is effective in reducing the power without a serious degradation of operating speed. The static leakage current, however, enlarges the power in the sleep period when the LSI is not operating. To avoid such undesirable leakage, two methods have been reported recently. One is the multi-threshold (MT) CMOS which utilizes dual threshold voltages for both p- and n-channel transistors. This method, however, requires some means of holding the latched data in the sleep period, which increases the design complexity and the chip area. The other is the variable-threshold (VT) CMOS which controls the backgate bias to increase the threshold voltage of transistors during the sleep period. Although it holds the latched data, it requires a triple-well structure and an additional circuit to control the substrate bias. We propose an auto-backgate-controlled MTCMOS (ABC-MT-CMOS) circuit that holds the latched data in the sleep period with a simple circuit. In this paper, we present the circuit, the layout method and the application of the circuit to a 32-bit RISC microprocessor.
Beyond Usability: An Alternative Usability Evaluation Method, PUT-Q2

Usability can be thought of as a measure or degree to which a system satisfies the needs of the human. Usability is a quality inherent to any given system, which assists in determining the efficiency, effectiveness and satisfaction levels of those involved in the interaction. Everyday we are bombarded with interactions and experiences that shape our thoughts, values, and judgments as well as test our limits of interaction with technology. These interactions have progressed at such an intense pace that humans have become practically slaves to technological innovation. Humans are forced to conform with needs of technology, rather then technology conforming to human needs. This fact must be rectified and becomes the primary focus of this thesis. Current models in usability evaluation methods (UEMs) analyze the quantitative data collected during testing. These statistical studies provide insight into limited aspects of usability, and most overlook human dimensions, including perception and affective responses; thus leaving a glaring pitfall in the overall analysis of system usability. By analyzing a new qualitative channel of data, this research attempts to explain these human-dimensional factors. Up to this point no evaluation model has been largely accepted which attempts to fuse both qualitative and quantitative data. This research proposes an alternative UEM, incorporating both qualitative and quantitative data, called the Perception and Usability Testing combining Qualitative and Quantitative data, or PUT-Q2. This new usability evaluation method presents complex qualitative and quantitative data in graphical visualizations and matrices that assist the usability expert in uncovering additional correlations and usability issues with their system.
Study on MIMO-based spectrum sharing with stream allocation error

: In order to achieve more eﬃcient overall spectrum utilization, it is possible to employ cognitive beamforming for secondary spectrum access. An important issue in such spatial spectrum sharing techniques is protecting the primary user from interference which arises due to estimation errors when the secondary users try to locate the available transmit opportunities. In this paper, we investigate the issue of primary user protection when the secondary user allocates too many spatial streams for the secondary transmission. We provide analysis for the interference power statistics and take advantage of the moment matching method in order to obtain an expression for the interference power that is tractable for practical analysis. In addition, we propose a protection constraint which limits the resulting interference and protects the primary user in terms of interference outage probability. We also show the achievable transmit power for the secondary user which can satisfy the protection constraint.
24.2: 10bit Source Driver with Resistor‐Resistor‐String Digital to Analog Converter

A 10bit gray scale source driver using resistor‐resistor‐string digital to analog converter(RR‐DAC) is proposed for small chip area TFT‐LCD source driver. The 10bit RR‐DAC consists of 8bit resistor‐string DAC and 2bit resistor‐string DAC without intermediate unity gain buffer to isolate parallel‐connected resistor‐string. The chip area of proposed 10bit source driver with RR‐DAC is increased 29% of that of the 8bit source driver.
Book Review: Structural Analysis of Discrete Data with Econometric Applications

a comprehensive treatment of response quality (or even response consistency) issues to the extent that it omits issues such as motivation and salience. However, the context and meaning question on which it focuses is a fascinating issue, one that has been underresearched in the past but is receiving increasing attention (for example, the 1982 conference of the American Association for Public Opinion Research featured a plenary session talk entitled, "Is Item Order the Quota Sampling of the '80s? "). More important, the question of context and meaning is a central issue in how social research should be practiced. Response inconsistency is a convenient setting in which to study the issue because inconsistency reveals a context-dependent inferential process. However, contextually based meaning applies to other situations where it is not revealed by inconsistency. Demand characteristics, for example, can be viewed as stable results of an inference process in which research participants interpret the research environment and their place in it. This sort of stable context dependence is an important element of some criticisms of laboratory experiments as a vehicle for studying social behavior. The chapters in this book are diverse, well written, and jointly cohesive enough to prompt thinking about issues beyond the immediate subject of response consistency. They also provide theoretical and empirical background varied enough to enrich the thinking of researchers directly concerned with response consistency. For these reasons, the time spent reading this brief (100 pages) book should be time well spent for almost any social researcher.