Miracle-dz/UniFAR-FTUs huggingface dataset:
Modified Scheme of Predictive Torque Control for Three-Phase Four-Switch Inverter-Fed Motor Drive with Adaptive DC-Link Voltage Imbalance Suppression

Abstract Classical voltage space vector modulation techniques cannot be efficiently applied in four-switch three-phase voltage inverter-fed electrical drives due to a voltage offset in DC-link capacitors. The capacitor voltages imbalance is a result of a bidirectional current which flows in a phase of an electric motor that is connected to a DC-link capacitor midpoint. To overcome this problem which leads to an incorrect inverter voltage modulation or even can affect the DC-link capacitors, predictive control algorithms considering the voltage offset in DC-link capacitors have been developed. Despite the predictive methods are highly effective, they require to adjust the cost function weighting factors which is normally an inexplicit task. In this paper, an on-line tuning method of the weighting factor related to the capacitor voltages imbalance incorporated in the cost function of the predictive algorithm has been proposed. According to the proposed approach, the weighting factor is self-adjusted so that the DC-link capacitor voltages are stabilized as well as a high quality of the drive control is remained simultaneously, regardless of its operating point. The proposed strategy has been validated by using simulation model of the induction motor drive system.
The Wisdom of Networks: Matching Recommender Systems and Social Network Theories

This paper aims to analyzing the match between soci al network theories and recommender systems. Several social networ k theories provide explanations on why nodes link to each others. At the same ti , recommender systems recommend users to connect to some items according to different internal algorithms. The study identifies the theoretical mechan isms behind the main types of recommender algorithms, and specifically behind net work-based ones. Main design implications for recommender algorithms are de rived.
Unveiling High-speed Follow-up Consultation for Chronic Disease Treatment: A Pediatric Hospital Case in China

In developing countries suffering from a severe shortage of physicians, the follow-up clinical consultation of long-term chronic care becomes a high-speed collaborative work, which has to be conducted in a few minutes. Although much existing work studies how time factors affect physicians' workflows and requirements for information systems, high-speed chronic care is yet to be well investigated. This work bridges the gap by presenting a case of a pediatric hospital in China. We focus on the processes of follow-up consultations, the factors enabling physicians to complete consultation in several minutes, as well as the challenges faced by physicians and patients. Through observations and interviews, we find that physicians conduct multiple tasks (information acquisition, patient-provider communication, and medical data documentation) simultaneously to reduce the consultation duration. Adopting an information summary alternative is the key to fast information acquisition. Templates and references in EMR contribute to rapid documentation and prescription. However, multitasking brings physicians a heavy cognitive load. It also severely compresses the duration of patient-provider communication. As a result, some of the patients' needs, especially emotional ones, are neglected. Based on these findings, we discuss the characteristics and requirements of high-speed chronic care and accordingly propose design suggestions.
Communication between modems in the configuration of xpic for wireless applications

A radio communication network which comprises a plurality of radio links for communicating radio signals with orthogonal polarization. Each radio link comprises a vertical polarization communication device (11a) and a horizontal polarization communication device (11b) which share a local communication channel (11c). Each of these communication devices comprises at least one differential interface stage (21a, 21b, 31a, 31b) for communicating first data over the local communication channel (11c), based on a differential input. Each of these vertical and horizontal communication devices (11a, 11b) comprises means (27, 37) connected to the differential interface stages for communicating second data over the local communication channel by modulating a common mode of the differential interface stages.
Sentiment Analysis by Exploring Large Scale Web-based Chinese Short Text

Sentiment analysis has been a popular research topic these years. In this paper, we will pay attention to the sentimental state of college students and make corresponding sentiment analysis. In this paper, we purpose two short text sentiment analysis models based on student forum data, named hard mapping sentiment analysis model and soft mapping sentiment analysis model respectively. Hard mapping sentiment analysis obtains the polarity of each short text by Polarity Value Table of Chinese Sentimental Words. On this basis, soft mapping sentiment analysis model trains the word similarity model of Chinese words with a large amount of data from Chinese Wikipedia using word2vec and Gensim. It diminishes the judgment errors induced by the inadequate vocabulary size of the sentiment dictionary in the Hard mapping sentiment analysis. Our result shows the improvement in short text sentiment analysis of the model by using the soft mapping sentiment analysis model. The research has significant implications in the psychological guidance of college students.
The Importance of Earning Quality and Organizational Reputation to Financial Effectiveness

This research was to investigate the influence of previous earning quality on present organizational reputation and next financial effectiveness. Particularly, it attempted to examine the intervenient function of current organizational reputation as well as the moderating role of previous earning quality, which have been ignored. The causal relationships were tested with multiple regression; whereas the mediating influence was tested employing the procedures for indirect significance. In addition, the moderating function was tested using the interaction analyses. The results provided statistical evidence where current organizational reputation intervenes in the causal connection from previous earning quality to subsequent financial effectiveness. The moderating role of previous earning quality in the influence of current organizational reputation on next financial effectiveness was also statistically found. The findings will help managers to make superior business decisions on the reliable level of reported earning and on the level of investment in enhancing their organizational reputation to the degree that they can obtain the best possible financial effectiveness.
Robotic Motion Planning in Uncertain Environments via Active Sensing

Perception and control are at the foundation of automation, and in recent years, we have seen growth in feasible applications including self-driving cars and smart homes. As automation moves from regulated, well-monitored locations (e.g., factories) into society, uncertainty in hardware and the environment poses a safety concern. Within this thesis, we focus primarily on uncertainty in the environment and discuss models of the environment known a priori and learned as the robot functions. The robot is tasked with moving from one location or configuration to another while minimizing the expected cost of observation and motion actions. We focus on control that guides the robot to a position/configuration or identifies that it is impossible to reach the position/configuration. We first focus on a robot creating a plan, prior to deployment, based on a known environment model. This model encodes obstacle configurations into different environmental realizations along with a probability this realization will be encountered. The robot is also provided an observation model it may use to sense the environment during the task. We show that minimizing the expected cost from start to goal within these models is NP-Hard. Therefore, we present an efficient algorithm to create a policy which can react to obstacles in real-time while maintaining safety constraints on motion. A by-product of this algorithm is a lower bound on the expected cost of an optimal policy. We compare the policy and lower bound, generated by our algorithm, against that of an optimal policy and existing research. Our focus then shifts to remove prior information about environmental obstacles. We ask the robot to complete a finite number of start to goal tasks and show the general version of this problem is PSPACE-Hard. To reduce the complexity, we develop a method that uses an arbitrary reactionary algorithm from prior work to handle unexpected obstacles. For each new environment experienced, we incrementally update the robot’s policy and show that the dependence on the reactionary algorithm is not increasing. Tests are performed on a flexible factory to demonstrate the scalability of this method.
Optimal AVR Control System using Particle Swarm Optimization

: This paper proposed a PSO with the constriction factor algorithm was used to tune PID-gains for an automatic voltage regulator (AVR) system. In the proposed approach, optimal tuning of PID-gains has very significant issue to perform the target value. Thus, a proposed algorithm has been used to get a better performance. The superiority of the PSO-PID controller is demonstrated through comparing the results with other techniques like Ziegler-Nichols method. Numerical results reveal that the PSO-PID controller has better dynamic response, fast convergence, and high-quality-solution than the other approaches based on rise and settling time of terminal voltage signal of generator.
A complete Assignment Algorithm and Its Application in Constraint Declarative Languages

An important property of answer generation strategies for functional logic programming (FLP) languages is the complete exploration of the solution space. Integrating constraints into FLP proves to be useful in many cases, as the resulting constraint functional logic programming (CFLP) offers more facilities and more efficient operational semantics. CFLP can be achieved using conditional rewrite systems with a narrowing-based operational semantics. A common idea to improve the efficiency of such operational semantics is to use specific algorithms from operations research as constraint solvers. If the algorithm does not return a complete set of solutions, the property of completeness might be lost. We present a real world timetabling problem illustrating this approach. We propose an algorithm, obtained as an integration of three known optimization algorithms for the linear assignment problem (LAP), enumerating solutions to the LAP in order of increasing weight, such that the answer generation is complete again. We show, how the narrowing process can be tailored to use this algorithm and provide an efficient way to solve the timetable generation problem.
CELL-AWARE FAULT ANALYSIS AND TEST SET OPTIMIZATION IN DIGITAL INTEGRATED CIRCUITS

ed from analog level up to digital logic values at the inputs of the standard cell. The detection conditions for a cell-aware fault can be listed as one or more combinations of logic values at the inputs to the standard cell along with a corresponding stuck-at fault (for static defects) or transition fault (for delay defects) at the cell’s output that must be propagated to a circuit output for observation to occur. Some important characteristics of the cell-aware fault model are: • A test set with 100% cell-aware fault coverage targets more defects than a test set that targets stuck-at and/or transition faults because stuck-at and transition faults are a subset of a cell-aware fault list. • Because this model abstracts the analog detection conditions of the defects up to digital values at the inputs and outputs of the standard cell, ATPG algorithms can be used to generate tests for them. Unfortunately, because the cell-aware fault model introduces more faults with more stringent detection conditions than traditional fault models, such as stuck-at and transition faults, test sets that target cell-aware faults generally require more patterns, although they are significantly shorter than gate-exhaustive patterns [45], [25]. For some industrial circuits, the increase is large. For example, the authors of [41] performed experiments on 10 industrial circuits. They generated test sets that maximized the cell-aware fault coverage. They achieved an average defect coverage gain of around 5% (1% static and 4% delay). However, the number of static test patterns increased by 49% versus a stuck-at fault test set. For delay patterns, the test set increased by 70%. 2.3. Test Set Generation Generally, the methodology of test generation is classified into two categories: probabilistic and deterministic.
An investigation of vocabulary learning strategies employed by high and low English proficiency students based on selected vocabulary from a business corpus

The purposes of this study were: 1) to compile a corpus of business English in order to examine high frequency of technical vocabulary as a resource for designing a test of technical vocabulary in context and 2) to explore vocabulary learning strategies which were employed by high and low English proficiency students. The participants included 40 undergraduate students, who enrolled in the English for business course in the academic year of 2011. All of them were selected by the purposive sampling technique and were then classified into two groups: high and low English proficiency students (based on the scores obtained from the technical vocabulary test).
Block reconstruction of object image based on compressed sensing and orthogonal modulation

In this paper, a block reconstruction method of object image based on compressed sensing(CS) and orthogonal modulation is presented. Using this method, the amount of data processing can be greatly reduced due to the application of CS theory and it brings convenience for post-processing. The method can be utilized especially when we just need to reconstruct partial of a huge image, because the orthogonal basis matrix can extract the measurements of corresponding block, and then the needed partial image can be reconstructed directly instead of reconstructing the whole huge image at first. Therefore, this method can reduce the redundant computation in process of reconstruction. And the total amount of calculation is also greatly reduced. The feasibility is verified by results of an experiment, in which we use a video projector to incorporate the random measurement matrix into the system.
Forecasting tourism demand by incorporating neural networks into Grey–Markov models

Abstract Tourism demand plays a significant role in the formulation of tourism development policies by governments. While the GM(1,1) is the most frequently used grey prediction model, the Grey–Markov model has been applied to forecast tourism demand because it has advantages compared with the GM(1,1) model when the time series data fluctuate significantly. To further improve the predictive accuracy of the Grey–Markov model, two neural networks (NNs) are considered. One of the NNs is used to build an NNGM(1,1) such that the GM(1,1) does not need to determine the background value, and the other is used to estimate the degree to which a predicted value obtained from the NNGM(1,1) can be adjusted. We applied the proposed model to forecast the number of foreign tourists using historical annual data from Taiwan Tourism Bureau and China National Tourism Administration. The results showed that the proposed model outperforms other Grey–Markov models.
A scientometric analysis of diversity in HEP over the past three decades

This study addresses various aspects of diversity in high energy physics through a scientometric analysis of the literature spanning approximately three decades, from the LEP and Tevatron era to the LHC era. It concerns both fundamental physics and technological research related to high energy physics, and compares the evolution of some diversity parameters in this field with that in other research domains, such as nuclear physics and astrophysics. The data are collected from the Web of Science and are analyzed by means of econometric methods and techniques pertaining to statistical ecology.
Spatial Network k-Nearest Neighbor: A Survey and Future Directives

Nearest neighbor algorithms play many roles in our daily lives. From facial recognition to networking applications, many of these are constantly improved for faster processing time and reliable memory management. There are many types of nearest neighbor algorithms. One of them is called k-nearest neighbor (k-NN), a technique that helps to find number of k closest objects from a user location within a specified range of area. k-NN road network algorithm studies have been through various query performance discussions. Each algorithm is usually judged based on query time over few selected parameters which are; number of k, network density and network size. Many studies have claimed different opinions over their techniques and with many results to prove better query performance than others. However, among these techniques, which k-NN road network algorithm has the highest rate of query performance based on the selected parameters? In this paper, reviews on several k nearest neighbor algorithms were made through series of journal extractions and experimentation in order to identify the algorithm that achieves highest query performance. It was found that with the experimentation method, we can identify not only the algorithm’s performance, but also its design flaws and possible future improvement. All methods were tested with some parameters such as varying number of k, road network density and network size. With the results collected, Incremental Expansion Restriction – Pruned Highway Labeling method (IER-PHL) proves to have the best query performance than other methods for most cases.
Web development with JavaServer pages

Dynamic content -- personalized, customized, and up-to-the-minute -- is a key component of site development on the World Wide Web today. Java Server Pages (JSP) is a new server-side technology for generating dynamic content in Web pages and other on-line applications. This guide to JSP covers all aspects of development and includes comparisons to similar dynamic content systems such as CGI, Active Server Pages, Cold Fusion, and PHP. Included is a discussion of the use of component centric design via Java Beans and custom tag libraries for separating the presentation of dynamic data (the layout, look, and feel) from its implementation (the code that generates it).
Adaptative Saliency for Logo Spotting

In this paper, we propose a method for logo detection in color documents based on saliency algorithm. The proposed method relies on specific definition of logo in color documents, and adaptation of one of the most reliable and tunable salient algorithm. We classically used intensity, color and orientation features but also a specific map that represents statistical location of logo generated by groundtruth obtained from Tobacco800 database. Experiments have been performed on a dataset of 1290 documents.
Modelling and Simulation of the IR-Drop phenomenon in integrated circuits

Scaling technology in deep-submicron has reduced the voltage supply level and increased the number of transistors in the chip, increasing the power supply noise sensitivity of the ICs. Excessive power supply noise affects the timing performance increasing the gate delay and may cause timing faults. Specifically, power supply noise induced by the currents that flow through the resistive parasitic elements of the Power Distribution Network (PDN) is called IR-Drop. This thesis deals with the modelling and simulation of logic circuits in the context of IR-drop. An original algorithm is proposed allowing to perform an event-driven delay simulation of the logic Block Under Test (BUT) while taking into account the whole chip IR-drop impact on the simulated block. To do so, we develop accurate and efficient electrical models for the currents generated by the switching gates, the propagation of the current draw through the PDN and the gate delays. First, the pre-characterization process for the dynamic currents, static currents and gate delays is described to generate a gate library. Then, another pre-characterization procedure is suggested to estimate the current distribution through the resistive PDN model. Our models are implemented in a first version of the simulator by the University of Passau in the context of a project collaboration. In addition, the impact of the parasitic capacitive elements of the PDN is analyzed and a procedure to derive the current distribution in a resistive-capacitive PDN model is proposed.
EFFECTIVENESS OF ELEMENTS PERIODIC TABLE INTERACTIVE MULTIMEDIA IN NGUYEN TAT THANH HIGH SCHOOL

The result of observation and interview shows that the learning process in Nguyen Tat Thanh High School was going fun and everyday teacher used different method of learning, sometimes teacher also made a worksheet for students, but the power point presentation media that teacher used did not show the interaction between media, teacher and students. Also there were unnecessary pictures on the power point that could distract students focus and the colour combination was not suitable. This research aimed to develop an interactive multimedia and know its feasibility and effectiveness. This study had significance to develop an alternative instructional multimedia in an education game way so could increase students motivation and learning outcome. The design of this research was Research and Development with ADDIE model. The data of this research were obtained from validation result from media expert and instructional expert, students response at small scale test, post test result and students response at large scale test. The score of validation result for the media expert was 96 categorized as very feasible and for the instructional expert was 62 categorized as feasible. Small scale test result showed that students gave very good response with 69.97 score. Students post test gave effective result with classical completeness 61.76% and very good response with 68.5 score. It can be concluded that the elements periodic table interactive multimedia was feasible and effective to be used in learning process, and have very good response from the students as users.DOI: https://doi.org/10.24071/ijiet.2018. 020101
Survey of the state of P2P file sharing applications

Recent improvements in Internet access have been accompanied by a dramatic spread of peer-to-peer (P2P) applications. P2P file sharing is affecting telecommunications carriers, copyright holders, and other areas of society. Since P2P applications do not employ servers to transfer files, it is difficult to gather traffic information on a large scale. This article presents i) techniques for measuring P2P file-sharing application traffic by collecting packets using a modified application and ii) measurement results for a Gnutella network. It also examines the current scope of P2P file sharing and the types of files that are shared. Survey of the State of P2P File Sharing Applications Special Feature † NTT Information Sharing Platform Laboratories Musashino-shi, 180-8585 Japan E-mail: ooi.keita@lab.ntt. co.jp