Miracle-dz/UniFAR-FTUs huggingface dataset:
Economic Scheduling of Combined Heat and Power Systems Using Whale Optimization Algorithm

Scheduling the Combined Heat and Power systems in the most economical manner is a very hard and complex problem. As the interconnected units in a system rise, conventional optimization techniques cannot be used for the task of optimal scheduling of the electrical generator, CHP and heat generator units. Minimization of the cost of fuel used in the CHP systems is the aim of the CHPED problem in which various operational and practical constraints are considered. The non-convex nature along with the nonlinear characteristics of the objective function makes the problem an arduous one. In this paper, the Whale Optimization Algorithm is used for the economic scheduling of CHP systems. The WOA is introduced recently which mimics how the humpback whales behave socially while existing under water. Their exploitation strategy, which is also known as the bubble net hunting strategy is used to form the base of the algorithm. A sinusoidal term for the electrical generator units is appended in the polynomial cost function to consider the valve-point loading effect. Three test systems -one small scale system with four units; one medium scale with seven units and with transmission losses; and one large scale system with forty-eight units are solved using the WOA, which helps establish the efficiency and robustness of the technique. Further, the results obtained using WOA after 100 trials are compared with the results published in existing literature using various other meta-heuristic techniques, to show the supremacy of WOA in terms of obtaining a feasible and better solution, satisfying all the constraints and better convergence characteristics.
PCC Voltage Quality Restoration Strategy of an Isolated Microgrid Based on Adjustable Step Adaptive Control

Autonomous microgrids supply power to large remote areas, where access to the grid is infeasible. The generation of these microgrids is highly dominated by renewable energy sources equipped with a storage battery. Due to the uncertainty associated with the renewables, the sustainability and reliability of supply become the prime areas of focus. The battery reduces the uncertainty during demand rise, power deficiency, and overloading with their faster response than diesel generators and microturbines. In this article, the power generation of the isolated microgrid is considered from solar and wind energy sources along with a battery. As the load decreases/increases suddenly, the point of common coupling (PCC) voltages are disturbed. So, as a remedy, a new control strategy for enhancing the voltage profile at PCC is introduced here. The improved adjustable step continuous norm adaptive control strategy filters the constituent of the load current, providing enhanced power quality and assurance of the system reliability in feeding sensitive loads. The intelligently controlled proportional integral controller enhances the speed regulation of the synchronous generator, whereas the enhanced perturb and observe technique provides the effective wind maximum power point (MPP) tracking. The load side power converter regulates the dc-link voltage and the boost converter allows the extraction of solar MPP. The batteries are deployed as the residential storage systems for backing up the power firming renewable production. Moreover, it optimizes the power flow and operation of the microgrid. It provides the required power based on fluctuating load demand. The performance improvement obtained on a laboratory developed test setup verifies the microgrid effectiveness under renewable generation variability and load alterations.
Improving Inference Latency and Energy of DNNs through Wireless Enabled Multi-Chip-Module-based Architectures and Model Parameters Compression

Performance and energy figures of Deep Neural Network (DNN) accelerators are profoundly affected by the communication and memory sub-system. In this paper, we make the case of a state-of-the-art multi-chip-module-based architecture for DNN inference acceleration. We propose a hybrid wired/wireless network-in-package interconnection fabric and a compression technique for drastically improving the communication efficiency and reducing the memory and communication traffic with a consequent improvement of performance and energy metrics. We assess the inference performance and energy improvement vs. accuracy degradation for different CNNs showing that up to 77% and 68% of inference latency reduction and inference energy reduction, respectively, can be obtained while keeping the accuracy degradation below 5% as respect to the original uncompressed CNN.
Design of Model Predictive Control to stabilize Two-Stage Inverted Pendulum

Model predictive control (MPC) defines as a controller algorithm utilizing optimal computation. The method of MPC has given numerous effect to the quality of some applications such as petrochemical plant, electronic devices, power electronics, robotics, and unmanned aerial vehicle. All of the MPC design in the literature has been successfully implemented and have given excellent performance for the systems. However, the MPC has been only designed for systems which have state variables under four variables. In this paper, an MPC method for the system that has state variables over 4 variables is proposed. The proposed MPC has been designed to stabilize two-stage inverted pendulum that has higher-order, nonlinear, very unstable, multivariable and 6 state variables. The MPC method is designed through the dynamic model of that pendulum employing Euler-Lagrange Equation. Then, the method is evaluated under several conditions to Figure out the performance using MATLAB Simulink software. The result shows that the three parameters of the system namely the parameter prediction horizon Np, the parameter tuning rw and the parameter control horizon Nc can influence the system output. The modification of Np has influenced the speed of the output system. The modification of Nc and rw has influenced the maximum of pendulum angle deviation.
Prototype Design of Smart Home System Base on LoRa

The smart home system is a system in which there are features for controlling and monitoring household electronic equipment. The smart home application system is a combination of technology and services specific to the home environment. The main purpose of applying LoRa-based smart home system technology in this study is to monitoring room temperature and controlling electronic devices. The communication module used in this research is the LoRa Dragino 915 MHz module. The LoRa Dragino 915 MHz module is used as a communication tool between the LoRa Client and LoRa Server. The LoRa-based smart home system prototype that has built can function properly according to specifications because it can monitoring room temperature in real-time and controlling electronic devices. Also, the range of communication signals between LoRa Client and LoRa Server which is the test in this research can work at a maximum distance of 183 meters in semi-open spaces while obstructed spaced the maximum distance is lower, which is only 63 meters.
Deforestation May Trigger Black-and-Chestnut Eagle (Spizaetus isidori) Predation on Domestic Fowl

In anthropogenically transformed habitats, some birds of prey feed on domestic animals, triggering conflict between people and predators. To manage this conflict, it is important to understand the ecological circumstances associated with the predation of domestic animals. We studied variation in the diet of the endangered Black-and-chestnut Eagle (Spizaetus isidori) in four different Andean landscapes in Colombia. We analyzed 261 prey items brought to five S. isidori nests during the period when the nestlings were being raised. Domestic fowl are relatively frequent prey in the diet of S. isidori in three of the four localities studied (frequency: 9.3%–36%), representing 12.2% to 37.1% of the total biomass of prey consumed. In terms of biomass, in Ciudad Bolívar, Jardín, and Campohermoso, the sites with the greatest forest cover, mammals were the most important prey in the diet of S. isidori, while in Gachalá, the most deforested site, domestic fowl were the most important prey. We recommend that forest cover be maintained and increased to provide habitat for wild prey in the breeding territories of S. isidori using the landscape management tools best suited to the specific socioecological contexts of this eagle’s territories. We also suggest that the management of domestic fowl under controlled conditions or the use of some deterrent be examined as strategies to mitigate or prevent conflict between people and S. isidori. Socioecological research and educational programs should be carried out to increase the public’s understanding of this eagle and its benefits to the ecosystem.
Implementation of artificial frequency modulation in boundary mode power converters for EMI reduction

Reduction of EMI content of a power converter is a very important phase of the design of a commercial product. To do so, passive filtering can be used, but both the efficiency and volume constraints can be affected. Applying artificial frequency modulation techniques that spread the noise energy over a wider range of frequencies and, consequently, reducing the peak of the interfering signal is a proven approach for EMI reduction. These techniques are commonly implemented in fixed frequency converters, but the same benefits can also be achieved in variable frequency converters. This article describes the validation, implementation and verification of different techniques to obtain frequency modulation in boundary mode power converters.
Design and Analysis of Dual Stator Non-Magnetic Rotor Six-Phase Permanent Magnet Synchronous Generator for Marine Power Application

This paper deals the design and performance evaluation of a dual stator non-magnetic rotor six-phase permanent magnet synchronous generator (DSNMRSP-PMSG) for marine power application. To extract the marine power, it required a generator which have advantages like high power density, more robust and high fault tolerant capability. Due to the dual stator, non-magnetic light weight rotor and six-phase windings in both the stators the proposed generator is more suitable for above application. To design and analysis of proposed generator, finite element method (FEM) is opted for this purpose. For the FEM analysis magnetostatics and the transient mode of analysis are considered for the optimal design. For performance assessment, the transient mode of analysis is chosen. Using these modes of analysis, the evaluation of electromagnetic output such as generated electromotive force (EMF), percentage (%) THD, generated voltage vs speed, electromagnetic torque, % torque ripple and terminal voltage vs load current characteristics for generator are investigated.
Multi-Rotor Attitude Control Using Cascade-LADRC with Reduced Order LESO

Attitude control is the core part of multi-rotor control systems. In recent years, attitude controllers based on the cascade-PID control have been widely used in multi-rotor flight controllers. At the same time, active disturbance rejection control (ADRC) has also been widely used since it significantly reduces the influence of disturbance. However, for a flight controller, the amount of calculations is large, and the implementation is cumbersome. To simplify the implementation of the linear ADRC (LADRC) on a flight controller and keep the cascade closed-loop structure, which makes the system robust, this paper proposes a cascade-LADRC control system based on the reduced-order linear extended state observer (LESO) for multi-rotor attitude control systems. Through simulation, the results showed that compared with the performance of conventional methods, the proposed method can effectively suppress oscillations and improve stability.
Prototype Design of Monitoring System Base Tranceiver Station (BTS) Base on Internet of Things

This research is purposed to build a prototype of Base Transceiver (BTS) Monitoring System based on Internet of Things where in a BTS is installed 5 main sensors as parameter for BTS to be real time monitored. Those parameters are: voltage source on BTS is installed with ZMPT101B sensor. Battery voltage on BTS is intalled with DC voltage sensor. BTS door is installed with MC38 sensor. Cable on BTS is installed with SW420 sensor, and BTS room temprature is intalled with DHT22 sensor. All sensors is controlled by Arduino which installed with Ethernet to send data into sensors. Server itself is using Rasberry Pi which installed by NodeRed application to input MQTT as database transceiver to MySQL. MySQL acted as webserver, so data can be displayed on web interface as output for sensors. Sensors quality is also test and compared using calibrated standard measurement device and output of every sensors are examined. Output of ZMPT101B has an error rate of 0,15%, voltage DC 12% of error rate, DHT22 0.46% error rate, MC38 sensors sensitivity speed of 1,3 second and SW420 has sensitivity speed of 1,42 second. Output on website has 3 menu, which are dashboard display, chart display, and data history display as latest data stored in web interface.
Ab-initio Study of Magnetically Intercalated Tungsten Diselenide

We theoretically investigate the effect of intercalation of third row transition metals (Co, Cr, Fe, Mn, Ti and V) in the layers of WSe2. Using density functional theory (DFT), we investigate the structural stability. We also compute the DFT energies of various magnetic spin configurations. Using these energies, we construct a Heisenberg Hamiltonian and perform a Monte Carlo study on each WSe2 + intercalant system to estimate the Curie or Néel temperature. We find ferromagnetic ground states for Ti and Cr intercalation, with Curie temperatures of 31K and 225K, respectively. In Fe-intercalated WSe2, we predict that antiferromagnetic ordering is present up to 564K. For V intercalation, we find that the system exhibits a double phase transition.
DQ-axis Synchronous Reference Frame based P-Q Control of Grid Connected AC Microgrid

A simple real and reactive power (P-Q) control method based on synchronous reference DQ-axis frame theory for a grid-connected AC microgrid has been proposed in this paper which was validated using real time simulation tool real time digital simulator (RTDS). The proposed control method consisted of two control loops where proportional integral (PI) controllers have been used at the outer real and reactive power control loops to produce reference d-axis and q-axis currents respectively. Then, dq frame currents are controlled in inner closed loop using PI controllers to produce the reference voltage for generating appropriate control signals. The effectiveness of the proposed P-Q controller has been verified for the cases like load change, solar irradiation change and by changing both solar irradiation and load. Outcome of the simulation study has demonstrated the efficacy of the proposed DQ-axis synchronous reference frame based P-Q controller for real-time operation of grid-connected AC microgrid.
Multiphysics Condition Monitoring Technique for Reliability Assessment of Wide Bandgap-Based Power Modules in Electric Vehicle Application

Comprehensive and accurate reliability assessment can address the existing design challenges in using wide bandgap-based semiconductor technology in new power electronic applications such as electric vehicles. Condition monitoring technique is a common approach for evaluating switch health by analyzing the changing trend of some specific switch parameters. Due to the basic differences between wide bandgap-based and silicon-based power modules, applying the existing condition monitoring approaches does not lead to the expected accuracy in circuits using wide bandgap devices. Considering the existing limitations in electrical parameters-based condition monitoring approaches, a multiphysics condition monitoring technique is proposed in this paper. Complete profiles of switch operational parameters have been employed in an iterative process in order to obtain junction temperature of the switch as the main failure indicator. The effect of thermal, electrical, and magnetic physics are considered to have a more accurate junction temperature assessment. Weibull-Arrhenius lifetime model is employed to assess the switch lifetime based on the real-time switch parameters. The proposed multiphysics condition monitoring approach is simulated for a case study of electric vehicle application (Toyota Prius 2010 DC/DC converter system). In the developed simulation platform, COMSOL, PLECS, and MATLAB are employed as the thermal and magnetic analyzer, circuit analyzer, and reliability assessment center respectively.
Estimation of Molten Steel Surface Shape in Continuous Casting Mold using Kalman Filter

We propose a Kalman filter-based method to estimate the molten steel surface shape in a continuous casting machine mold. The state-space equations are derived from the surface wave model expressed as the sum of sinusoidal basis functions, and the expansion coefficients of the basis functions are estimated from height information measured by level meters at some points of the mold. The effectiveness of the developed method was verified by demonstration experiments that used a mold water model device.
Time and cost reduction in the production chain of construction projects through collaborative computer systems

Nowadays it is very important the efficiency and effectiveness of the processes included in each of the production chains of a construction project, since in this way the scope of the project can be successfully completed, otherwise it may impact directly on its cost and time. This condition has required to subcontract a percentage of the total of the chains, because it offers benefits such as reducing the risk of production and improving cost due to the high specialization of these companies. However, outsourcing has generated new problems in the production chain, like the interaction and information transfer, which affects the project through the introduction of waiting times and added costs for conflict solution. For this reason, many companies seek to select computer tools whose data reporting is effective for all the project stakeholders, and also have the ability to interact in real time to accelerate the communication process. In this context, this research aims to present a dynamic and integral methodology to manage the production chains implemented in residential buildings through the application of Building Information Modeling (BIM) tools and Enterprise Resource Planning (ERP) tools. The result shows a significant reduction in time and also in cost associated with waiting and resolving conflicts in the projects evaluated.
FEM based Assessment of Winding Inter-Tum Fault Indicators in Line Connected Induction Motors

The paper aims at the definition of proper indicators for the effective detection of stator inter-turn faults in line connected induction motors. The procedure uses a finite element model related to a standard medium rated motor, tuned taking into account both magnetic saturation and the actual winding scheme. After the experimental check with reference to different load conditions, multiple fault indicators are evaluated by elaborating the motor current components. The same model predicts the effects of asymmetric voltage supply on the current harmonics to prevent misleading fault detection. Moreover, a relation between fault severity and the experimental setup to reproduce similar current asymmetries as in the actual fault condition has been examined. On this basis, some measurements have been carried out, enabling to have a broad check on the fault indicator effectiveness.
Multiple Trajectories Generation to Realize Stable Flight of Kites in Airborne Wind Energy System

Although kites are expected to be useful for airborne wind energy systems, their autonomous control is remaining as a difficult problem. In some research, stability was verified around limit cycles and that was adapted to the kite control problem. However, the local stability around only one limit cycle can be verified with such solutions. In this paper, in order to operate kite more stably, multiple trajectories are generated by optimal control, and feedback controllers are designed for each trajectory. A closed trajectory is generated as the reference trajectory. Other surrounding trajectories are generated to converge at points on the reference trajectory. Feedback gain is obtained by time-varying linear quadratic regulator and stability verified area with such controller is computed. The effect of multiple trajectories on the stability is confirmed by simulation, and the direction of method extension is discussed.
Robust Controller Placement Based on Load Balancing in Software Defined Networks

To further improve Software Defined networks performance, robustness and load balancing, it is valuable to determine how to optimally deploy controllers against links failure. In this paper, we model the robust controller placement (RCP) optimization problem with an integer linear programming, termed RCP_ILP, which optimally places the least controllers to meet the robustness and load balancing. The novelty of our model is taking into controller coverage probability, network transmission efficiency and Gini coefficient of controller loading at the cost of least controllers. To reduce the computational complexity for the optimal configuration, we propose a heuristic RCP algorithm. The extensive simulations conducted with real network topologies show that the heuristic RCP algorithm improves the robustness and load balancing of SDNs against links failure.
Motion Kinematics Analysis of a Horse Inspired Terrain-Adaptive Unmanned Vehicle With Four Hydraulic Swing Arms

All terrain vehicles (ATV) perform tasks in unstructured environments where the advanced adaptive ability of rigid terrain has become a key factor. In this article, we propose a novel horse inspired all terrain eight-wheeled vehicle with four swing arms for transportation in the mountain battlefield. The mechanism structure and system configuration of the ATV are designed based on the horse leg kinematics analysis. In order to analyze the obstacle surmounting strategy of the ATV, the kinematics model and the center of gravity of the ATV are represented. A model reference adaptive control method is proposed for the hydraulic attitude control system. Then the model for obstacle surmounting is proposed for dynamics performance and geometric kinematics. Additionally, the simulation is executed in Adams to verify the analysis and strategy. Finally, the experiment is demonstrated for climbing a vertical wall, which is a challenging and typical terrain of the mountain battlefield.
Performance Analysis of FinFET based 2:1 Multiplexers for Low Power Application

In this paper, a comparison is made between FINFET based Gate Diffusion Input (GDI) and Pass Transistor (PT) based 2:1 Multiplexers in terms of delay, average power dissipation, and Power delay product (PDP). Both the multiplexers are designed using an 18nm technology node and functional at 0.8V supply voltage. GDI based mux consumes very less power dissipation of 46.69nW, which is 46.04% lesser than the PT based Mux. If the user requirement is of fast operation than GDI based Mux meets the criteria. It takes 2.11ps to pass the signal at the output, which is 4.3 times faster than PT based Mux. PDP of GDI and PT based Mux is 0.143aJ and 0.755aJ. Additionally, GDI based Mux demonstrates better performance with 3.15nW power dissipation. The multiplexers can be used in many combinational circuits, therefore, if the performance of the multiplexer is improved, the complete circuit is bound to give better performance.