Miracle-dz/UniFAR-FTUs huggingface dataset:
Modeling and Simulation of PWM Line Converter feeding to Vector Controlled Induction Motor Drive and 3-Level SVM based PMSM Drive

The objective of this paper is to model and simulate a three-phase Voltage Source Pulse Width Modulation (PWM) Rectifier Based on Direct Current Control feeding an indirect vector controlled Induction Motor Drive (VCIM) and 3-Level SVM based PMSM Drive. Based on the mathematical model of PWM rectifier, the dual close loop engineering design with decoupled feed-forward control is applied in the three phase voltage source rectifier. The first objective is to realize unity power factor at the input ac mains and regulate output voltage. The second one is to realize that the above designed PWM rectifier will always give its objectives of stiff dc voltage and unity power factor irrespective of the load and its controlling methods. The types of loads, considered in this paper are to check the performance of the PWM rectifier with direct current control are resistive, VCIM and 3-Level SVM based PMSM Drive. The induction motor is taken with indirect vector control and PMSM is taken with 3-Level SVM based vector control so as to reflect the most practical aspect of the load for checking the viability of the rectifier design. The operation of Induction machine and PMSM is not disturbed the PWM rectifier objectives and operation of PWM rectifier is not interfered in to the independent operation of the vector controlled machine. Hence, the designed PWM rectifier is considered as capable of feeding the Common DC coupling point (dc bus).
ROR: rejection of outliers by rotations in stereo matching

We address the problem of rejecting false matches of points between two perspective views. Even the best algorithms for image matching make some mistakes and output some false matches. We present an algorithm for identification of the false matches between the views. The algorithm exploits the possibility of rotating one of the images to achieve some common behaviour of the correct matches. Those matches that deviate from this common behaviour turn out to be false matches. The statistical tool we use is the mean shift mode estimator. Our algorithm does not use in any way the image characteristics of the matched features. In particular it avoids problems that cause the false matches in the first place. The algorithm may be run as a post processing step on output from any point matching algorithm. Use of the algorithm may significantly improve the ratio of correct matches to incorrect matches. On real images our algorithm has improved the percentage of correct matches from an initial 20%-30% to a final 70%-80%. For robust estimation algorithms which are later employed, this is a very desirable quality since it reduces significantly their computational cost. We present the algorithm, identify the conditions under which it works, and present results of testing it on both synthetic and real images.
On the efficiency of local decoding procedures for error-correcting codes

jkatz s. olumbia.edu. Department of Computer S ien e, Columbia University. Work supported in part by a DoD NDSEG Fellowship. y lu a s. olumbia.edu. Department of Computer S ien e, Columbia University. time (or whose reading devi e is subje t to errors). For example, the data stored in musi CDs and in CD-ROMs is en oded using Reed-Solomon odes. In appli ations to data storage (and also in appli ations to data transmission) a message is typi ally divided into small blo ks, and then ea h blo k is en oded separately. This allows eÆ ient retrieval of
Activation of STAT3 by the Hepatitis C Virus Core Protein Leads to Cellular Transformation

The signal transducer and activator of transcription (STAT) family proteins are transcription factors critical in mediating cytokine signaling. Among them, STAT3 is often constitutively phosphorylated and activated in human cancers and in transformed cell lines and is implicated in tumorigenesis. However, cause of the persistent activation of STAT3 in human tumor cells is largely unknown. The hepatitis C virus (HCV) is a major etiological agent of non-A and non-B hepatitis, and chronic infection by HCV is associated with development of liver cirrhosis and hepatocellular carcinoma. HCV core protein is proposed to be responsible for the virus-induced transformation. We now report that HCV core protein directly interacts with and activates STAT3 through phosphorylation of the critical tyrosine residue. Activation of STAT3 by the HCV core in NIH-3T3 cells resulted in rapid proliferation and up-regulation of Bcl-XL and cyclin-D1. Additional expression of STAT3 in HCV core-expressing cells resulted in anchorage-independent growth and tumorigenesis. We propose that the HCV core protein cooperates with STAT3, which leads to cellular transformation.
Asynchronous circuits: an increasingly practical design solution

While ultra-deep-submicron design presents increasingly difficult challenges for standard synchronous design practices, recent research in asynchronous design techniques is making asynchronous circuits an increasingly practical alternative. These challenges include the increasing pressure for low-power, the growing challenge of predicting increasing impact of wire load and delay, and the performance penalty associated with supporting communication between different clock domains. This paper reviews the different solutions to these problems that the spectrum of existing asynchronous design techniques support. It focuses on techniques for fine-grain two-dimensional pipelining that yield ultra-high-speed at nominal power supplies and very low-energy at reduced power supplies.
Estimating coverage of radio transmission into and within buildings at 900, 1800, and 2300 MHz

Investigations of propagation into and within buildings at 900, 1800, and 2300 MHz have been undertaken, using buildings both in the University of Liverpool precinct and in the commercial center of the city of Liverpool, United Kingdom. The emphasis of this article is the modeling of radio transmission into buildings that uses the measured penetration loss values in order to adjust the propagation models developed for the outside areas, and the modeling of radio transmission within buildings, starting with the simple distance-power law. Those models are very useful for economical reasons and are sufficiently fast for rapidly estimating coverage regions. However, more accurate models have been developed from experimental results, and are presented. For those more precise models to work properly, it is necessary to know the environment and all the variables that may influence the propagation of the radio signals.
An alternate military strategy for the War on Terrorism

Abstract : Alternate Military Strategy for the War on Terrorism calls for addressing the war as a global insurgency. Addressing the war on terrorism as a Global Insurgency provides an alternative strategic framework for prosecuting the campaign. This study is intended to determine the utility of analyzing the war on terrorism using an insurgency/counterinsurgency conceptual framework. Additionally, the recommendations can be applied to the strategic campaign, even if it is politically unfeasible to address the war as an insurgency. The first half of the study is intended to provide a thorough understanding of Dr. McCormick's COIN model. This is done by, first, providing an overview of the model and, second, applying the model to a historical case. The second half of the study addresses the war on terrorism. The COIN model is applied to the war on terrorism based on the al Qaeda Network and the United States vision and mission for the conflict. Conclusions from the analysis are broken down into ten recommendations for the U.S. strategic framework for approaching the war. The final chapter addresses the utility provided by the insurgency/counterinsurgency framework as applied to the war on terrorism.
Efficient connection management solution in high-speed networks

Poor data locality in high-speed networks leads to more memory accesses of connection management, which limits the throughput performance. In view of the above problem, this paper analyzed the process of connection management and access in detail, and put forward the efficient connection management solution to improve throughput on FPGA platform. This solution takes full advantage of the structural characteristics of SDRAM. By controlling access requests, it can make adjacent access requests access different banks, which can reduce hardware resource conflicts, shorten the time interval between access requests and improve throughput. In order to reduce the complexity of control, we selected multiple slots hash table as the data structure for connection management. Simulation results show that this solution shorten the time interval by about 71.4%.
Task Scheduling Algorithm in Cloud Computing Environment Based on Cloud Pricing Models

The Cloud Computing is a most widely spreading platform for executing tasks using virtual machines (VMs) as processing elements. Therefore, implementing HPC using Cloud Computing is considered a powerful approach by isolating tasks, reducing execution time, as well as, price, and satisfying load balance. In this paper, an enhancement task scheduling algorithm on the Cloud Computing environment has been introduced to reduce the make-span, as well as, decrease the price of executing the independent tasks on the cloud resources. The principles of the algorithm is based on calculating the total processing power of the available resources (i.e., VMs) and the total requested processing power by the users' tasks, then allocating a group of users' tasks to each VM based on the ratio of its needed power relative to the total processing power of all VMs. The power of VMs has been defined based on Amazon EC2 and Google pricing models. To evaluate the performance of the enhancement algorithm, a comparative study has been done among this enhancement algorithm, the default FCFS algorithm, and the existed GA, and PSO algorithms. The experimental results show that the enhancement algorithm outperforms other algorithms by reducing make-span and the price of the running tasks.
Output specific efficiencies: The case of UK private secondary schools

Based on regularly published data we quantitatively assess the efficiency of UK secondary, private schools in providing quantity vs. quality of graduates on a per output basis. In economic terms the primary question is whether indeed an increase in the quantity of graduates with the observed inputs would be associated with a deterioration of average quality of graduates. The estimation framework is a new, statistically enriched type of Data Envelopment Analysis as detailed in Gstach (2002) to account for output-specific efficiencies. The results indicate that quantity clearly dominates quality as performance distinguishing criteria amongst sample schools, i.e. on average quantity efficiency is low while quality efficiency is high. The results also provide evidence that the abilities of schools to provide quantity resp. quality are positively correlated. These findings indicate considerable scope for increasing the number of graduates without sacrificing average graduation quality through improved school management. (author's abstract)
A Depth-Dependent Fusion Algorithm for Enhanced Reality Based on Binocular Vision

As one of the pivot techniques in enhanced reality the fusion of virtual and real scene image often happens intwo ways, either to incorporate a real object into a virtual environment, or to incorporate a virtual object into a real scene. Most of the conventional methods for the fusion are conducted at the image level, which fails to handle three-dimensional objects. In this paper, a novel depth-dependent algorithm for the fusion of virtual and real scene image in enhanced reality based on binocular vision will be proposed. The algorithm simulates the human observation process, and computes the spatial position of an image pixel by means of binocular parallax. With the assistance of object recognition techniques, the depth computation results will then be utilized to determine the spatial position of the object in the observation coordinate frame. The fusion is consequently implemented by positioning the object of interest at the right position and establishing the depth relationship withother objects in the scene. Experiment results demonstrate that the proposed algorithm is both valid and effective to achieve a high quality fusion for an enhanced reality application.
Visualization and Virtual Screening of the Chemical Universe Database GDB-17

The chemical universe database GDB-17 contains 166.4 billion molecules of up to 17 atoms of C, N, O, S, and halogens obeying rules for chemical stability, synthetic feasibility, and medicinal chemistry. GDB-17 was analyzed using 42 integer value descriptors of molecular structure which we term "Molecular Quantum Numbers" (MQN). Principal component analysis and representation of the (PC1, PC2)-plane provided a graphical overview of the GDB-17 chemical space. Rapid ligand-based virtual screening (LBVS) of GDB-17 using the city-block distance CBD(MQN) as a similarity search measure was enabled by a hashed MQN-fingerprint. LBVS of the entire GDB-17 and of selected subsets identified shape similar, scaffold hopping analogs (ROCS > 1.6 and T(SF) < 0.5) of 15 drugs. Over 97% of these analogs occurred within CBD(MQN) ≤ 12 from each drug, a constraint which might help focus advanced virtual screening. An MQN-searchable 50 million subset of GDB-17 is publicly available at www.gdb. unibe.ch .
The Implicit Association Test as a measure of implicit consumer attitudes

This article reports two experiments that sought to determine if the Implicit Association Test (IAT; Greenwald, McGhee, & Schwartz, 1998), a method for assessing strengths of automatic associations, can be applied to measure consumer attitudes. The first experiment compared implicit attitudes toward juices and sodas. Analysis revealed significant correlation between IAT-measured implicit attitudes and D. Maison ✉ , Department of Psychology University of Warsaw 5/7 Stawki PL–00183 Warsaw Poland Tel. : +48 22 / 531 78 27 Fax: +48 22 / 831 91 93 dominika@sci.psych.uw.edu. pl A. G. Greenwald Department of Psychology University of Washington Box 351525 207 Guthrie Seattle, WA 98195–1525 USA Tel. : +1 206 / 543 7227 Fax: +1 206 / 685 3157 agg@u.washington. edu R. Bruin Medical Data Management 1 Sengera Cichego PL–02790 Warsaw Poland Tel. : +48 22 / 645 77 33 ralph.bruin@mdmworld.com Received: 07.11. 2000 Accepted: 18.01. 2001 ORIGINAL PAPER © Blackhorse Publishing, 2001 explicit measures of attitudes and behavior toward these product categories. The second experiment investigated implicit attitudes of female Ss toward low calorie products and high calorie products. The IAT attitude measure correlated with dieting activity: Ss who had eating habits restricting high calorie food intake showed implicit attitudes favoring low calorie products. a000000000 Introduction During the last 20 years, social psychologists have increasingly appealed to automatic processes (Greenwald & Banaji, 1995; Bargh, 1996; Pratto, 1994; Bargh, Chaiken, Govender & Pratto, 1992; Bargh, 1989) in understanding social judgment and behavior. Associated with this trend is the increasing use of reaction time as an indicator of automatic or implicit processes (Bargh, 1996; Zarate & Smith, 1990; Lalonde & Gardner, 1989; Fazio, Sanbonmatsu, Powell & Kardes, 1986; Gaertner & McLaughlin, 1983). One method of researching automatic processes that has become very popular over the last 5 years is the Implicit Association Test (Greenwald et al. 1998; Dasgupta, McGhee, Greenwald, Banaji, 2000; Brendl, Markman, Messner, 2001). The method consists of doing a computerized categorization task. The task lets Ss categorize stimuli into four different categories: two contrasted target concept categories (in the study of Greenwald et al., 1998, experiment 1, flowers and insects), and two contrasted attribute categories (pleasant and unpleasant). The categorization task consists of presenting the Ss with a stimulus which the Ss are to categorize quickly in one of two groups (presented as labels on the left and on the right of the computer screen). Polish Psychological Bulletin 2001;32(1):DOI://10.1066/S10012010002
3-D Volumetric Evaluation of Human Mandibular Growth

Bone growth is a complex process that is controlled by a multitude of mechanisms that are not fully understood.Most of the current methods employed to measure the growth of bones focus on either studying cadaveric bones from different individuals of different ages, or successive two-dimensional (2D) radiographs. Both techniques have their known limitations. The purpose of this study was to explore a technique for quantifying the three dimensional (3D) growth of an adolescent human mandible over the period of one year utilizing cone beam computed tomography (CBCT) scans taken for regular orthodontic records. Three -dimensional virtual models were created from the CBCT data using mainstream medical imaging software. A comparison between computer-generated surface meshes of successive 3-D virtual models illustrates the magnitude of relative mandible growth. The results of this work are in agreement with previously reported data from human cadaveric studies and implantable marker studies. The presented method provides a new relatively simple basis (utilizing commercially available software) to visualize and evaluate individualized 3D (mandibular) growth in vivo.
The Politics of Free Trade Agreements

Suppose that an opportunity arises for two countries to negotiate a free trade agreement (FTA). Will an FTA between these countries be politically viable? And if so, what form will it take? We address these questions using a political-economy framework that emphasizes the interaction between industry special interest groups and an incumbent government. We describe the economic conditions necessary for an FTA to be an equilibrium outcome, both for the case when the agreement must cover all bilateral trade and when a few, politically sensitive sectors can be excluded from the agreement.
Past and future of prophylactic ablation of the cervical squamocolumnar junction

HPV vaccination has the potential to prevent the vast majority of cervical cancer cases but cervical cancer screening remains the only prevention strategy in adult unvaccinated women. The range of primary screening tests has expanded to include, in addition to cytology, visual inspection with acetic acid (VIA) and HPV-testing. HPV-testing has the best sensitivity and negative predictive value, and a low-cost HPV test may make large-scale high-quality cervical cancer screening possible in low- and medium-income countries (LMICs). However, on account of its low specificity, HPV-testing would impose the additional burden of triaging HPV+ women using cytology, colposcopy, VIA, or other not yet affordable tests. If minimally invasive treatments that have proven efficacious in HPV+ women with cervical intra-epithelial (CIN) grade 2 and 3 lesions also reduced future cervical cancer risk in lesion-free HPV+ women, the treatment of all HPV+ women would become attractive in LMICs in which screening should be performed as infrequently as possible. In the pre-mass screening era, gynaecologists widely practiced prophylactic ablation of the columnar epithelium visible on the ectocervix (ectopy) and squamocolumnar junction (SCJ) in the hope of preventing cervical cancer. Favourable outcomes were reported, especially from Finland, but conclusive results were not reached on account of weaknesses in the study methods. Indirect support for prophylactic ablation is provided by the hypothesis that some cells of embryonic origin derived from the SCJ are the source of high-grade CIN and cervical carcinoma, and that they do not regenerate after SCJ ablation. SCJ cell elimination may avoid neoplastic transformation though not HPV reinfection. Randomised controlled trials are gold-standard, but if not feasible, an evaluation of the impact of prophylactic ablation could be done in the framework of large HPV-based screening programmes. Careful follow-up of lesion-free HPV+ women would provide much needed information on the risk-to-benefit ratio of prophylactic ablation.
Symbol grounding for symbolic robot commands based on physical properties

One long term goal of artificial intelligence research is the development of robot systems, which have approximately the same cognitive, communicational, and handling abilities like humans. For instance, a human-like communication requires an intuitive and symbolic user interface. Since actual robot control systems typically consist of subsymbolic interfaces, the robot must be able to extract subsymbolic information from given symbolic instructions. This requires the grounding of information and the utilizing of appropriate sensors and components. In this work, we describe the grounding of symbols based on physical properties, since we describe executable actions in form of physical effects in our system [1].
Which Globular Clusters Contain Intermediate-Mass Black Holes?

It has been assumed that intermediate-mass black holes (IMBHs) in globular clusters can only reside in the most centrally concentrated clusters, with a so-called core-collapsed density profile. While this would be a natural guess, it is in fact wrong. We have followed the evolution of star clusters containing IMBHs with masses between 125 ≤ MBH ≤ 1000 M☉ through detailed N-body simulations, and we find that a cluster with an IMBH, in projection, appears to have a relatively large "core" with surface brightness only slightly rising toward the center. This makes it highly unlikely that any of the "core-collapsed" clusters will harbor an IMBH. On the contrary, the places to look for an IMBH are those clusters that can be fitted well by medium-concentration King models. The velocity dispersion of the visible stars in a globular cluster with an IMBH is nearly constant well inside the apparent core radius. For a cluster of mass MC containing an IMBH of mass MBH, the influence of the IMBH becomes significant only at a fraction 2.5MBH/MC of the half-mass radius, deep within the core, where it will affect only a small number of stars. In conclusion, observational detection of an IMBH may be possible, but will be challenging.
Secondary control of microgrids based on distributed cooperative control of multi-agent systems

This study proposes a secondary voltage and frequency control scheme based on the distributed cooperative control of multi-agent systems. The proposed secondary control is implemented through a communication network with one-way communication links. The required communication network is modelled by a directed graph (digraph). The proposed secondary control is fully distributed such that each distributed generator only requires its own information and the information of its neighbours on the communication digraph. Thus, the requirements for a central controller and complex communication network are obviated, and the system reliability is improved. The simulation results verify the effectiveness of the proposed secondary control for a microgrid test system.