Miracle-dz/UniFAR-FTUs huggingface dataset:
Simulation of Vector Control for Two Double Y Shift 30° PMSMs Series-Connected System

A number of multi-phase motors can be series-connected and driven by a single inverter via the appropriate phase transformation rules, and all motors in series-connected can be independently controlled . In this paper, the working principle of two six-phase permanent magnet synchronous motor series-connected system is proposed, the vector control strategy of id=0 and the carrier-wave modulation PWM technology are adopted to make the decoupled running of the two motors. Simulation of the two motors series system is obtained based on Matlab/simulink. The feasibility of the series system is proved by analysis the independently operating of one motor when the speed of the other motor is changed.
Malicious Payload Distribution Channels in Domain Name System

Botmasters are known to use different protocols to hide their activities under the radar. Throughout the past years, several protocols have been abused and recently Domain Name System (DNS) also became a target of such malicious activities. In this dissertation, we analyze the use of DNS as a malicious payload distribution channel. To the best of our knowledge, this is the first comprehensive analysis of these payload distribution channels via DNS. We present a system to characterize such channels in the passive DNS (pDNS) traffic by modelling DNS query and response patterns. Then, we analyze the Resource Record (RR) activities of these channels to build their DNS zone profiles. Finally, we detect and assign levels of intensity for payload distribution channels by using a fuzzy logic theory. Our work is based on an extensive analysis of malware datasets for one year, and a near real-time feed of pDNS traffic. The experimental results reveal few long-running hidden domains used by Morto worm to distribute malicious payloads. We also found that some of these payloads are in cleartext, without any encoding or encryption. Our experiments on pDNS traffic indicate that our system can detect these channels regardless of the payload format. Passive DNS is a useful data source for DNS based research, and it requires to be stored in a database for historical data analysis, such as the work we present in this dissertation. Once this database is established, it can be used for any sort of threat analysis that requires DNS oriented intelligence. Our aim is to create a scalable pDNS database, that contains potentially valuable security intelligence data. We present our pDNS database by discussing the database design, implementation challenges, and the evaluation of the system.
An Improved Particle Swarm Optimization (PSO)-Based MPPT for PV With Reduced

This paper proposes an improved maximum power point tracking (MPPT) method for the photovoltaic (PV) system using a modified particle swarm optimization (PSO) algorithm. The main advantage of the method is the reduction of the steady- state oscillation (to practically zero) once the maximum power point (MPP) is located. Furthermore, the proposed method has the ability to track the MPP for the extreme environmental condition, e.g., large fluctuations of insolation and partial shading condition. The algorithm is simple and can be computed very rapidly; thus, its implementation using a low-cost microcontroller is possible. To evaluate the effectiveness of the proposed method, MATLAB sim- ulations are carried out under very challenging conditions, namely step changes in irradiance, step changes in load, and partial shad- ing of the PV array. Its performance is compared with the con- ventional Hill Climbing (HC) method. Finally, an experimental rig that comprises of a buck-boost converter fed by a custom-designed solar array simulator is set up to emulate the simulation. The soft- ware development is carried out in the Dspace 1104 environment using a TMS320F240 digital signal processor. The superiority of the proposed method over the HC in terms of tracking speed and steady-state oscillations is highlighted by simulation and experi- mental results.
Modeling and Dynamic Exploration of a Tilt-Rotor VTOL Aircraft

Abstract In this paper we introduce and study a novel model of a Tilt-Rotor VTOL aircraft. The aircraft is structured as a blended wing body equipped with a tilting rotor (the propulsion unit) that gives the vehicle the capability of vertical take off and transition to a forward flight configuration. This model captures the main features of novel tilt-rotor aircraft architectures with more challenging control and maneuvering capabilities. We introduce a complex nine degrees of freedom model of the aircraft to explore the dynamics and the maneuvering capabilities of the vehicle. We perform an analysis of the equilibrium manifold of the aircraft (namely a parametrized family of trimming trajectories) and, as main contribution of the paper, we introduce a set of optimal control based strategies to explore the trajectory manifold of the vehicle in order to generate non-stationary and highly aggressive trajectories. In particular, we provide numerical computations showing how to generate a trajectory for transitions from near hover to forward flight.
Compact tri-band bandpass filter using three stub-loaded open-loop resonator with wide stopband and improved bandwidth response

A compact three stub-loaded open-loop resonator-based tri-band bandpass filter with better out-of-band suppression is presented. The position and length of the three stubs loaded to an open-loop resonator determine the position of the three passbands. Mathematical analysis has also been performed to calculate the resonance condition of the proposed resonator. To demonstrate the concept, two second-order filters are fabricated having three passbands centred at fo = 1.93 GHz, f 1 = 3.6 GHz, f 2 = 4.89 GHz and fo = 1.59 GHz, f 1 = 3.12 GHz, f 2 = 4.02 GHz, respectively. The fabricated filters show better 3 dB bandwidth as well. The simulation and measured results are in good agreement.
Towards integrated management decisions

Recent textbook models for management decisions and our orientation of management education are still based on a reductionist, isolationist and linear paradigm. This paper, for stimulating a perception shift, introduces a systems‐based approach. Drawing on a reconstruction of ancient Eastern wisdom, mainly Confucianism, the approach intends to integrate wuli (material‐technical), shili (psycho‐cognitive) and renli (social‐political) elements, perspectives and patterns into a differentiated/interconnected whole, as the context, content and process of management decision. Decision making conducted as such may have the potential to facilitate complementary synergy among goal‐seeking, cognitive‐learning and relationship‐maintaining approaches to management decision/education.
CBR Revision Model for Improving Cost Prediction Accuracy in Multifamily Housing Projects

For any construction project to succeed, it is very important to accurately estimate the construction cost during the project’s initial stage. This is why there has been much interest lately in cost prediction models that use case-based reasoning (CBR). It has been pointed out, however, that existing CBR-based cost prediction models may yield inaccurate results even though they could survey optimal similar cases, if the number of cases in the case base is not enough. As opposed to the existing CBR-based construction cost prediction models, this study developed a CBR revision model that reflects the “revise” phase of the CBR cycle (retrieve, reuse, revise, and retain) based on nine multifamily housing projects executed recently by “A” Housing Corporation. To verify the developed model, a case study was performed using three case projects completed by “B” and “C” Housing Corporations. The result showed that the prediction error ratio after the Revise (I) phase decreased from 97.44 to 22.58%. This model can .
Wearable Devices, Smartphones, and Interpretable Artificial Intelligence in Combating COVID-19

Physiological measures, such as heart rate variability (HRV) and beats per minute (BPM), can be powerful health indicators of respiratory infections. HRV and BPM can be acquired through widely available wrist-worn biometric wearables and smartphones. Successive abnormal changes in these indicators could potentially be an early sign of respiratory infections such as COVID-19. Thus, wearables and smartphones should play a significant role in combating COVID-19 through the early detection supported by other contextual data and artificial intelligence (AI) techniques. In this paper, we investigate the role of the heart measurements (i.e., HRV and BPM) collected from wearables and smartphones in demonstrating early onsets of the inflammatory response to the COVID-19. The AI framework consists of two blocks: an interpretable prediction model to classify the HRV measurements status (as normal or affected by inflammation) and a recurrent neural network (RNN) to analyze users’ daily status (i.e., textual logs in a mobile application). Both classification decisions are integrated to generate the final decision as either “potentially COVID-19 infected” or “no evident signs of infection”. We used a publicly available dataset, which comprises 186 patients with more than 3200 HRV readings and numerous user textual logs. The first evaluation of the approach showed an accuracy of 83.34 ± 1.68% with 0.91, 0.88, 0.89 precision, recall, and F1-Score, respectively, in predicting the infection two days before the onset of the symptoms supported by a model interpretation using the local interpretable model-agnostic explanations (LIME).
At the crossroads of the information highway: new technology directions in consumer electronics

The advent of consumer electronics dates back to the invention of the vacuum tube and its application to one of the first consumer electronics products-the radio. Since that time technology development and subsequent applications have expanded the scope of "consumer electronics. " Today, technology advances on many fronts including compression, digital signal processing, computing power, displays, communication, and software are cascading to cause a virtual explosion of new consumer electronics products, applications, and services. This paper describes "consumer electronics" within the context of the IEEE Consumer Electronics Society and explores future directions. >
Synthesis and Characterisation of Nano Silver Particle-based Magnetorheological Fluids for Brakes

Magnetorheological (MR) fluids can be used as brake friction materials subject to heat transfer properties of the fluids to dissipate the heat generated during braking action. The aim of this manuscript is to synthesise MR fluids having higher heat transfer properties than that of the conventional MR fluid. The coating of nano-silver-particles, having thermal conductivity more than five-times than that of iron particles used in the MR fluids, has been tried to enhance the heat dissipation rate of MR fluids. To perform feasibility study on usage of silver particles, three composition of MR fluids (without any silver particles, with 0.25 per cent weight and 0.50 per cent weight silver particles) were synthesised. The scanning electron microscopic photographs and EDX analysis of the iron particles have been presented. Shear strengths of all three different compositions of MR fluids were measured using magnetorheometer and the results have been plotted. The effect of silver particles on shear stress of MR fluids has been described. A flywheel-based MR brake experimental setup was developed to analyse the performance of synthesised MR fluids. ‘T’ type thermocouples were used to avail the temperature distribution of the fabricated MR brake. The results of temperature distribution of brakes containing three different compositions of MR fluids have been presented and compared.
Condições necessárias para problemas de controle ótimo discreto com restrições mistas via formalismo de Dubovitskii-Milyutin

Problemas de controle ótimo discreto (ou problemas de controle ótimo com tempo discreto) aparecem no estudo da simulação de sistemas práticos controlados onde as mudanças no estado e no controle podem acontecer em peŕıodos de tempo. No mundo real, diversos fenômenos acontecem em intervalos discretos, por exemplo, os números das importações e exportações são relatados trimestralmente. Outras aplicações podem ser encontradas por exemplo em [9]. Logo, do ponto de vista prático, o estudo de problemas de controle ótimo discreto (COD) é muito importante. Por outro lado, do ponto de vista teórico, à prinćıpio, pode-se pensar que os problemas COD não são muito relevantes porque constituem um caso particular dos problemas programação matemática. Ainda que os problemas COD possam ser reduzidos a um problema programação matemática, mesmo assim este tipo de problema tem caracteŕısticas próprias. Portanto, é razoável esperar que as condições de otimalidade (necessárias ou suficientes) para este tipo de problema também sejam formuladas de uma maneira mais particular. Por esses motivos surge a necessidade de realizar um estudo espećıfico de problemas COD (ver por exemplo [2], [4], [7], [8]). Na literatura, os problemas COD foram tratados usando as hipóteses de regularidade tipo Abadie ou MFCQ (ver por exemplo [7], [8]), onde foram consideradas restrições de contorno de igualdade ou restrições de contorno de desigualdade. Além disso, há muitos artigos tanto em programação não linear como em controle ótimo que usam a condição de posto constante (ver por exemplo [1], [5]).
A V-band quasi-optical GaAs HEMT monolithic integrated antenna and receiver front end

A single-chip monolithic integrated V-band folded-slot antenna with two Schottky-barrier diodes and a local oscillator source is developed as a quasi-optical receiver for the first time. The monolithic microwave integrated circuit consists of a voltage-controlled oscillator (VCO), a coplanar waveguide (CPW)-to-slotline transition, a low-pass filter, a folded-slot antenna, and a 180/spl deg/ single balanced mixer. The chip is fabricated based on the 0.15-/spl mu/m GaAs high electron-mobility transistor technology and the overall chip size is 3/spl times/1.5 mm/sup 2/. A finite-difference time-domain method solver is also developed for analyzing the embedded impedance characteristics of the folded-slot antenna to design the mixer. The chip is placed on an extended hemispherical silicon substrate lens to be a quasi-optical receiver. The performance of the receiver is verified by experimental measurements. The VCO has achieved a tuning range from 61.9 to 62.5 GHz and approximately 9.3-dBm output power. The CPW-to-slotline transition has bandwidth from 50 to 70 GHz. The mixer results in 15-dB single-sideband conversion loss and the receiving patterns of the IF power are also measured.
A lei das estatais e as diretrizes internacionais: convergências para o estado da arte em integridade, compliance e anticorrupção

Resumo Constitui objetivo deste artigo investigar a convergência das diretrizes de integridade, compliance e anticorrupção introduzidas pela Lei das Estatais, em face das melhores práticas internacionais. Adotam-se, como parâmetro de análise, as Diretrizes em Anticorrupção e Integridade para Empresas de Propriedade Estatal, publicadas pela Organização para a Cooperação e Desenvolvimento Econômico (OCDE). De natureza descritiva, o estudo articula pesquisa bibliográfica e documental e, para a consecução dos objetivos propostos, a técnica adotada envolve a análise comparativa entre o sistema de integridade, compliance e anticorrupção introduzido pela Lei das Estatais e as diretrizes estabelecidas pela OCDE. Como resultado, observou-se que a Lei das Estatais apresenta um grau de convergência considerável em vista das práticas analisadas, tendo introduzido no ordenamento jurídico brasileiro um arranjo normativo de integridade, compliance e anticorrupção que caminha em direção ao que se poderia considerar o ‘estado da arte’. No entanto, a despeito de substantivamente aderente às recomendações transnacionais, a lei ainda apresenta limitações e omissões em pelo menos três perspectivas: gestão integrada de riscos; controles internos, ética e compliance; e autonomia das estatais e de seus órgãos decisores. Os resultados da pesquisa sinalizam para uma agenda propositiva de estudos futuros voltados à investigação das alternativas de aperfeiçoamento da Lei das Estatais e do ambiente institucional brasileiro. Também sinaliza para uma agenda de estudos aplicados, devotada a investigar e compreender os desafios da implementação da lei e seus resultados concretos no universo das companhias estatais.
A Security Localization Method in Wireless Sensor Networks

In this paper, we address wireless sensor network localization problems that have high reliability in an environment where physical node destruction is possible. We propose a range-independent location algorithm called security location based on genetic algorithm (GASL) that allows sensors to passively determine their location with high reliability, without increasing the number of reference points, or the complexity of the hardware of each reference point or node. In GASL, sensors determine their location based on the optimization of select function by the reliability by aim at some reference point process location compute confirm and remainder energy and distance of node to reference point. By combining the communication range constraints imposed by the physical medium with computationally efficient cryptographic primitives that secure the beacon transmissions. We show that GASL is robust against diversified known attacks and mostly unknown attacks on WSN, such as the wormhole attack, the sybil attack, and inject misdate attack, etc. Finally, our performance evaluation shows that GASL leads to significant improvement in location accuracy and security compared with state of the art range independent location schemes.
RiIG Modeled WCP Image-Based CNN Architecture and Feature-Based Approach in Breast Tumor Classification from B-Mode Ultrasound

This study presents two new approaches based on Weighted Contourlet Parametric (WCP) images for the classification of breast tumors from B-mode ultrasound images. The Rician Inverse Gaussian (RiIG) distribution is considered for modeling the statistics of ultrasound images in the Contourlet transform domain. The WCP images are obtained by weighting the RiIG modeled Contourlet sub-band coefficient images. In the feature-based approach, various geometrical, statistical, and texture features are shown to have low ANOVA p-value, thus indicating a good capacity for class discrimination. Using three publicly available datasets (Mendeley, UDIAT, and BUSI), it is shown that the classical feature-based approach can yield more than 97% accuracy across the datasets for breast tumor classification using WCP images while the custom-made convolutional neural network (CNN) can deliver more than 98% accuracy, sensitivity, specificity, NPV, and PPV values utilizing the same WCP images. Both methods provide superior classification performance, better than those of several existing techniques on the same datasets.
C5: Cloned Concurrency Control That Always Keeps Up

Asynchronously replicated primary-backup databases are commonly deployed to improve availability and offload read-only transactions. To both apply replicated writes from the primary and serve read-only transactions, the backups implement a cloned concurrency control protocol. The protocol ensures read-only transactions always return a snapshot of state that previously existed on the primary. This compels the backup to exactly copy the commit order resulting from the primary's concurrency control. Existing cloned concurrency control protocols guarantee this by limiting the backup's parallelism. As a result, the primary's concurrency control executes some workloads with more parallelism than these protocols. In this paper, we prove that this parallelism gap leads to unbounded replication lag, where writes can take arbitrarily long to replicate to the backup and which has led to catastrophic failures in production systems. We then design C5, the first cloned concurrency protocol to provide bounded replication lag. We implement two versions of C5: Our evaluation in MyRocks, a widely deployed database, demonstrates C5 provides bounded replication lag. Our evaluation in Cicada, a recent in-memory database, demonstrates C5 keeps up with even the fastest of primaries.
Experimental Study of a Steady State Flow in a Thermosyphon Loop System

The influence of some parameters on thermosyphon flow are observed and studied. The flow rate in a thermosyphon loop is measured using dye-injection. Measurements indicated that in addition to the influence of the temperature rise and the thermal head, the flow rate is also strongly dependent on the fluid inlet temperature. A simplified theoretical analysis is used to relate the various parameters in actual operation to determine the fluid flow rate or velocity. The results in general is represented by a correlation in the form of Re=A (Gr)B. This relation can be useful in simplifying simulation models for natural circulation solar collectors. The deviation observed between the theoretical prediction and the experimental results is narrowed by accounting for kinetic energy dissipation and a correction of fluid properties.
Substrate Integrated Waveguide Multiband Bandpass Filters and Multiplexers

The implementation schemes and techniques of substrate integrated waveguide (SIW) multiband bandpass filters (BPFs) and multiplexers are examined and summarized in this article. A comprehensive overview of technical approaches and diverse design methodologies are briefly described, basically embracing numerous schemes such as shunting, multimode resonator, multimode-shunting hybrid, and splitting structures.
The Environmentally Educating Teacher: Synthesis of an Implementation Theory for Pre-service Courses

ABSTRACT This paper sets out to establish a tentative implementation theory which can inform the work of teacher educators working with novice (student) teachers in their initial professional development related to environmental education. The paper begins with an exploration of the problem of how to encapsulate environmental education within pre-service programs by looking at attempts over the years to encourage and stimulate the professional development of the environmentally educated teacher through pre-service programs. The paper then reports on research carried out by the method of deliberative inquiry which examined the work of two environmental education initiatives: the OECD-funded ENSI project, a co-operative curriculum development program based in primary and secondary schools; and the European Union-funded EEITE program, a development initiative based in universities offering pre-service courses in eleven European Union member states. The paper discusses how ENSI'S aims and guiding principles and EEITE'S organizing principles, key elements and program characteristics were considered and a tentative implementation theory established. This theory, it is argued, constitutes a criterial framework of process skills and values which can inform and guide the inclusion of environmental education within pre-service teacher education programs. The paper ends with a call for a critique of the theory presented.