Miracle-dz/UniFAR-FTUs huggingface dataset:
LEADING NODULE INQUIRY SUPPORTED PROGRESSIVE COMMUNAL CHAIN: AN TRANSPOSE IMPATIENT PROCEDURE

This Q number has been compared comparing FS function. Q accounts for each of the sub-set feature specific sound and target clarification. This page promoted Booster to improve the performance of the current FS model. However, the result of the FS model in line with the guessing will be the uncertainty between the differences between training, especially for high data. This page highlights a new Q-statistic statistic from a given specific section as well as the direction of targeting. Therefore, Booster is advised in FS format that strengthens the Q-statistic requirement of the applied formula. An internal problem is important by choosing the best, however, the button within the original resolution can result in a sub-feature entirely, so the sound from the selected feature set can be more decisive even though the option can result in higher exposure. This page raises a Q statistic to determine the functionality of the FS formula with a workbook. This can be a hybrid measurement method to clearly illustrate the categorization and stability of specific domains. The MI classification includes a high rating. While most of the studies were conducted by population estimates, a small measure of sample samples remains a difficult task. Then boost your Booster page to choose a subset of the FS model provided.
A Novel wideband VHF antenna for impulse GPR applications

A novel wideband VHF antenna for the impulse ground penetrating radar (GPR) system at 200 MHz central frequency is presented in this article. The antenna improves the impulse GPR system for increasing ability penetration. By using the Lemniscate curve, this novel structure of the proposed antenna achieve better radiation than other bow-tie antennas. In addition, this article also proposes the UWB balanced-to-balanced (balun) transformation line is designed to feed the antenna. The balun is an important element for improving the bandwidth of the antenna. The fabrication of the antenna is only simple but also low cost with FR4 substrate and copper patch. The proposed antenna is designed and fabricated with the successful results.
Determinants of dynamic process of emerging ICT adoption in SMEs – actor network theory perspective

PurposeWhile traditional theories of information and communication technology (ICT) adoption have been deployed to study ICT adoption in the past, these theories considers ICT adoption as static and rely on conceptualising factors as variables and predicting their levels of outcome at a single decision stage. Although much has been credited to these theories, they have continuously ignored the fact that as decisions to adopt are made and challenged along the adoption process, such decision can be influenced by the same, different or combination of factors at different stages of the adoption process. This paper aims to examine ICT adoption from a dynamic process perspective and to explore the key determinants and how these differ from one stage of the adoption process to another.Design/methodology/approachQualitative method was adopted in this study. Both unstructured and semi-structured interviews were conducted in two separate stages using purposeful random sampling. Hybrid approach of thematic analysis was adopted in analysing the data.FindingsThis study develops a framework informed by actor network theory (ANT) concepts and finds that using ANT to examine the process of adoption helps to unveil the recursive nature of the process. The study reveals that the 14 determinants identified in this study influenced adoption at different stages. Factors such as ease of use, managerial time, customer focus and adoption influenced adoption at all the stages. This reveals that factors influencing ICT adoption are not static at one particular stage rather it may influence ICT adoption at different stages.Research limitations/implicationsQualitative research is often subjective and interpretive in nature, and one of the limitations is the sample used in this research. Considering the small number of interviews carried out in this study, the generalisation of finding and the framework remains to be established across a wider population. Therefore, the factors presented could be limited considering that a number of practitioners that are involved in establishing emerging ICT are numerous. Therefore, other factors are prevailing to other industries or sectors that may provide scholars another way of examining these factors. Also, the framework demonstrates that it is a valuable analytical tool for researchers to examine how and why different actors including small and medium enterprise (SME) managers act around emerging ICT.Originality/valueThis study develops a framework that revealed the interactive and recursive nature of ICT adoption and the determinants influencing the process of ICT adoption at different stages thereby advancing ICT adoption research. The study challenges researchers to always consider ICT adoption as dynamic and unpredictable instead of one-off action as factors influencing its adoption are not static rather; they vary from one stage to another.
Review on Security Issues in Wireless Sensor networks

In this current digital era Communication between two points is really sensitive matter. Every single bit of data packet is very precious. In WSN(Wireless Sensor Network) the data transmission between one node to another, sensor to sensor or one device to another device. There are real live example like healthcare system, Smartphone’s, Airplane, Military all data managed wireless so monitor the security thread and many security challenges occurs. This paper focus on security attack mechanism in Wireless Sensor Network and monitor and analyze real-time data from Varity of applications.
Simulation Research on Direct Power Control of Modular Multilevel Converters

The strategy of double closed-loop vector control is commonly used for new modular multilevel converter(MMC),but this control method has the problems of too much parameters needed to be adjusted and dynamic response is unsatisfactory and so on.For these,direct power control strategy of MMC and the strategy of balancing capacitor voltage were researched.First,the method of sorting arm module voltage and adding average control signals to reference were combined.Then,the double-loop proportion regulators were used to make capacitor voltage be consistent and track the given value which made the fluctuation range of capacitor voltage to be significantly reduced.It improved the quality of converter output waveforms.Finally,the strategy of virtual flux direct power control was used for MMC.Research focused on the method of power estimation for this kind of topology.Finally,simulation research of the designed system was implemented with Matlab.The results show that the proposed methods are correct and effective.
Visual Assessment on Product Label Design Criteria Through Eye Tracking

Product label is a printed product information displayed on the product packaging. The product label designs are the combination of text and image elements. The process of designing a product label is complicated as there are various types of text and images involved. Product label designs that are less attractive wouldl affect purchasing choices. The purpose of this study is to identify the design criterias of texts and images to help consumer in their purchase selection. The study focuses on the visual assessment through eye tracking method on food and beverage product label. The eye movement observation method conducted using eye tracker device to track 6 parameters of eye movements on the product label during purchasing selection and determine 7 main text and image design criterias for food and beverage product label. The consumers were selected among university students. The study has found that the purchase selection of bread and mineral water product from the food and beverage product category are the most difficult. There are similarities in eye tracking parameters on product label visual assessment during purchasing choices. The similarities of text and image design criteria on food and beverage products label include i) shape text: uppercase and lowercase, ii) type family text: sanserif, iii) width text: condensed, iv) slope text: roman, v) weight text: bold and vi) nature image: illustration.
A Review of Urban Traffic Structure Optimization

Urban traffic structure is one of the core problems of urban traffic system and an important content in the research of urban traffic development strategy planning.This paper comparatively analyzes the development and present status of different cities in China and abroad and introduces the research emphasis of the urban traffic structure from four aspects,the urban spatial layout and traffic development mode,the relationship of urban land use and traffic structure,the traffic structure optimization model,and the competition of public transit and private traffic.Finally,based on the development characteristics of cities in China,this paper discusses how to use the foreign cities' experiences as reference,the problems of present research and development tendency.
Herd immunity estimation of flu-like disease spreading in SEIR population: The sociophysics modelling via Monte Carlo simulation on discrete-spin model

In this work, the disease spreading under SEIR framework (susceptible-exposed- infected-recovered) and agent-based model was investigated via discrete magnetic spin and Monte Carlo simulation. The defined systems were two-dimensional square-lattice-like, where the spins (representing susceptible, exposed, infected, and recovered agents) were allocated on lattice sites. Taking flu-like disease as a case study, the latent period was fixed at a quarter of infectious period. Then, the system size, the spin population density, and the infectious period were varied to observe its influence on uninfected population. In the simulation, each spin was randomly allocated on the lattice and interacted with its first and second neighbouring spins for disease spreading. The magnetization profiles, representing normalized agents in each state, were recorded. From the results, good agreement between the simulation and real spreading results was qualitatively evident. The uninfected susceptible (survivor) results can be categorized into 2 distinct phases depending on the values of infectious periods. The critical infectious period, which separates low and high survivor phases, was then extracted and power-law scaled with the population density. With this scaling formalism, one can use for specifying the overcrowd situation that conveys epidemic to pandemic, which may benefit epidemiologists and government for future health related policies issuance and deployment.
Non-invasive sensors for wound monitoring and therapy

Chronic wounds such as diabetic foot ulcers and venous leg ulcers affect in Europe more than 10 million people, a number that is expected to grow due to the aging of the population. Sensors can be a valid tool to improve the quality of healthcare for wound monitoring and management. The integration of sensor data within health information and decision support systems may allow the delivery of personalized treatments at decreased cost. The EU FP7 SWAN-iCare project is developing a negative-pressure device associated with non-invasive sensors capable to monitor some physiological parameters related to the wound status, such as pH, temperature and transepidermal water loss. These sensors will help to provide personalized therapies to patients and check the effectiveness of treatments remotely.
Contact and Tracking Hybrid Control With Impulse-Momentum Sliding Surface and Terminal Sliding Mode

The control system proposed in the paper is motivated by robotic testing of prosthetic legs, where a test robot is used to emulate the mechanics of walking. Previously, robust trajectory tracking of walking profiles was used on the test robot’s hip axes, both for swing and stance phases. For the stance phase, a tracking controller does not reproduce the dynamics of weight transfer and release during the swing-stance transitions of human walking. To address this problem, a novel contact mode controller is proposed which allows the test robot to emulate weight transfer and momentum exchange in the stance phase. The swing phase controller is still designed for tracking, but introduces a fast terminal sliding mode controller for rapid convergence to reference swing trajectories with small chattering. This paper introduces the concept of an impulse-momentum sliding surface and develops the control system for a one-degree-of-freedom electromechanical system moving in a vertical axis. A simulation study and a successful real-time implementation are described that illustrate the practical validity of the concept, which can be used in conjunction with more realistic walking models.
Wavelet representation for transient travelling waves

The fault characteristics of transient travelling waves are described using the dyadic discrets wavelet transform (DDWT) to present the travelling waves. Representations of DDWT modulus maxima are given for four kinds of travelling waves: voltage travelling waves, current travelling waves, forward and backward travelling waves. The magnitude of DDWT modulus maxima signifies magnitude of these travelling waves, and the polarity of DDWT modulus maxima signifies polarity of these travelling waves. The representation sets up a base for travelling waves analysis, fault detection, fault location and travelling waves based protection.
Design of mini SPR biochemical sensor

Summarized the characteristics of surface plasmon resonance(SPR) biochemical sensor and its trend of miniaturization.Also introduced a type of mini SPR biochemical sensor MiniSPR-2005.Experiments results show the instrument has good performance.Its sensitivity reaches approximately 5.4×10~(-5) RIU.In the end,some aspects which needed to improve on are discussed.
Real-time Stereo Visual Servoing Control of an Eight-Rotors Rotorcraft

—This paper presents a visual feedback control of a small UAV using image-based visual servoing with stereo vision. In order to control the orientation and the position of ﬂ ying robot with respect to an object or target well de ﬁ ned, we propose to use a navigation system based on binocular vision system combined with inertial sensors. This combination of sensors, allows us to get a complete characterization of the state of aerial vehicle. It means, using the stereo vision system we are able to estimate the UAV 3D position, while from the inertial sensors we can obtain the orientation of rotorcraft. Real time experiences are developed to validate the performance of navigation system proposed.
Bitstream Switched-Mode Transmitters for High-Efficiency Power Amplifiers

Author(s): Song, Yonghoon | Advisor(s): Wang, Yuanxun E | Abstract: Switched-mode RF power amplifiers (PAs) under bitstream modulations such as bandpass or envelope delta-sigma modulations have received increasing attentions over the past years. They have been proposed to overcome a trade-off between linearity and efficiency with an idea to discretize analog envelope from a complex modulation signal into discrete driving points for high efficiency operation. Such amplifiers offer enhanced efficiency under power back-off conditions with pulse train waveforms yet maintain linearity in amplification through digital coding and modulations. The quantization noise generated during a discretization process, however, is a challenge to be rejected properly and restore desired signal.This work presents a switched-mode PA based on the pulsed load modulation (PLM) technique with multi-level envelope delta-sigma modulation (EDSM) to realize broadband efficient amplification of non-constant-envelope signals. PLM technique modulated load impedance to be optimized for dynamic power range and maintained optimum efficiency over 6 dB back-off. Multi-level EDSM introduced additional transition levels and reduced quantization noise power with improved signal to noise ratio.In addition, active noise filtering scheme is proposed with a potential to replace an external high-Q passive bandpass filter in delta-sigma modulation. Multiple PA units were driven by identical signal with different phase. Challenged quantization noise power was suppressed by multi-path combining filtering.The proposed transmitters were demonstrated at X-band using GaN devices. Both 2-level and 3-level EDSM techniques were tested and compared. Two channel active noise filtering is also presented with regard to their quantization noise levels and power efficiencies.
Ultrasonic Signal De-noising Based on Wavelet Entropy and Inter-Scale Correlation

In this paper, we proposed an adaptive threshold de-noising method by combining wavelet entropy and inter-scale correlation. Different from the traditional wavelet threshold based de-noising methods, our method can be divided into three steps. First, we decompose the noisy signal by using discrete wavelet transform (DWT), calculate the value of inter-scale correlation of the decomposed wavelet coefficients, and delete the high frequency coefficients which are smaller than the value of inter-scale correlation. Secondly, we equally divide the processed high frequency coefficients into several subintervals, calculate the wavelet entropy of each subinterval, and decide the threshold of high frequency coefficients by combining wavelet entropy and adaptive threshold rules. Finally, we de-noise the high frequency coefficients by using logarithmic smoothing threshold function, and reconstruct the ultrasonic signal. Experiment results have shown that the proposed method is better than some other de-noising methods in terms of SNR (signal noise ratio) and SDR (signal distortion ration).
Education through Cyberspace in Pakistan: Retrospect and Prospect

The present study was designed to highlight some positive and impressive contributions of virtual university in Pakistan. For this purpose relevant material was reviewed and on the basis of some facts future needs and demands of education through cyberspace was suggested. Some of the suggestions were: Virtual University may launch proper advertisement series to create awareness about e-learning in Pakistan. Virtual University may improve the physical and human resources to attract better and capable students in the system.
Representation Degree Zero

“Conventionally, of course, drawing is an active process which leaves a trail of carbon on the paper. With a computer sketch, however, any line segment is straight and can be relocated by moving one or both of its end points. ” [Sutherland 1963, p. 102]. With these surprisingly laconic words, the twenty-five-year-old Ivan Sutherland described, in his doctoral thesis [1], the most obvious difference between a traditional drawing and an electronic graphic document. Creator of the first interactive design system to be made public, called Sketchpad, presented precisely in the abovementioned thesis, and the first man to have drawn luminous lines on a monitor, he posed questions that have not yet been fully resolved even today, more than fifty years after that earliest act. Is it possible, in fact, to call this new iconic artifact with the same name by which an object drawn by hand has been defined? Sutherland answered in the abovementioned chapter that he had significantly entitled Drawing vs. moving: “[…] there is no state of the system that can be called ‘drawing’. ” (read more)
Análise de Aprendizagem a partir de Códigos-Fontes e uma Proposta de Seleção Automática de Métricas de Avaliação

Este trabalho apresenta uma revisão de soluções automatizadas de análise da aprendizagem de programação a partir de códigos-fontes. Estendendo as propostas apresentadas nesse estudo, propomos uma estratégia tecnológica de análise quantitativa da aprendizagem de programação a partir de informações de códigos-fontes mapeadas em um cluster de métricas de software correlacionadas acima de um índice. A contribuição desta proposta para a aprendizagem de programação é auxiliar o trabalho de avaliação de professores de programação para que melhor compreendam as dificuldades de aprendizagem de seus alunos e reconheçam, a partir de um conjunto representativo de variáveis, as dificuldades de aprendizagem e habilidades de programação.
Distributed coordination control of hybrid energy resources for power sharing in coupled hybrid DC/AC microgrid using paralleled IFCs/ILCs

This study proposes flexible controllers for the interlinking converter (ILC) and interfacing converters (IFCs) used in coupled hybrid AC/DC microgrids (HMGs). Proposed controllers are specifically designed for the multiple stacked bidirectional DC–AC ILCs/IFCs based microgrid outlays, to omit the droop power flow and system stability issues. The ILC and IFC grid supportive converter controllers focus on the wide-spread AC/DC bus parameters control for both DC and AC bus voltage regulation and superfluous power sharing while operating in the grid forming and feeding modes. Proposed controllers minimise the need for the controller parameter tuning as opposed to the conventional controllers used in zonal HMG systems. This makes the system stable for a much wider operating conditions as opposed to the widely used higher-order PLL integrated PQ and dq 0 control algorithms. The proposed HMG also integrates the centralised battery energy stack through bidirectional dual active bridge DC–DC converter for achieving the high-power transfer efficiency and omitting the isolation issues between medium-voltage and low-voltage DC buses. The HMG system performance is evaluated using the simulation studies for various strategical operational modes. Further, the proposed controllers have also been tested individually on experimental platform.
Semantics-Aware Privacy Risk Assessment Using Self-Learning Weight Assignment for Mobile Apps

Most of the existing mobile application (app) vetting mechanisms only estimate risks at a coarse-grained level by analyzing app syntax but not semantics. We propose a semantics-aware privacy risk assessment framework (SPRisk), which considers the sensitivity discrepancy of privacy-related factors at semantic level. Our framework can provide qualitative (i.e., risk level) and quantitative (i.e., risk score) assessment results, both of which help users make decisions to install an app or not. Furthermore, to find the reasonable weight distribution of each factor automatically, we exploit a self-learning weight assignment method, which is based on fuzzy clustering and knowledge dependency theory. We implement a prototype system and evaluate the effectiveness of SPRisk with 192,445 normal apps and 7,111 malicious apps. A measurement study further reveals some interesting findings, such as the privacy risk distribution of Google Play Store, the diversity of official and unofficial marketplaces, which provide insights into understanding the seriousness of privacy threat in the Android ecosystem.