Miracle-dz/UniFAR-FTUs huggingface dataset:
Green Supplier Selection Based on DEA Model in Interval-Valued Pythagorean Fuzzy Environment

The green supplier selection has gradually become a hot topic around the world. To achieve the purpose of optimal decision-making, it is of great importance to process the imprecise and ambiguous information that may exist in the evaluation and selection of green suppliers. In the present article, first, converting the imprecise and ambiguous information into interval-valued Pythagorean fuzzy numbers (IVPFNs) through the Likert scale. Then, using the interval-valued Pythagorean fuzzy weighted average (IVPFWA) operator and multiplicative theory to introduce the IVPFNs into the non-radial SE-BCC model of Data Envelopment Analysis (DEA), we developed the DEA model in the interval-valued Pythagorean fuzzy environment. Later, ranking all decision-making units (DMUs) to be evaluated and selecting the best of them. Moreover, The proposed model can not only deal with the case where the quantitative indicators are interval-valued numbers, but also solve the problem of qualitative analysis in the evaluation process. Finally, a numerical example of green suppliers selection is provided to demonstrate the feasibility and usefulness of the model.
Algorithm of Graph Planarity Defenition for Improving the Quality of the Very Large Scale Integrations Circuits Tracking

Locating graph vertices on a plane problem is considered in this paper. This problem is directly related to the engineering problem arising in a very large-scale integrated circuits topology design. This task is relevant because it determines such important indicators as the quality of design engineering and the cost of very large-scale integrated circuits production. It includes a certain set of modules placement on a plane, as well as the chains that must connect the designed crystal’s modules. The topologic drawing is required to obtain a flat image of the scheme or its parts. In this regard, the projected scheme is often represented as a graph model, which vertices correspond to the designed very large integrated circuits modules, and the edges - to the modules connections. After graph construction, in practice designers often face another task - the planarity graph definition. If the graph is planar, then all the edges can be positioned on a plane, respectively, and all the projected scheme connections can be placed on one projected crystal layer. If the graph is not planar, then some connections of the scheme are transferred on the other layers.This paper considers the algorithm for determining the graph planarity. The novelty of this approach lies in the fact of quantum algorithm and the genetic search algorithm hybridization. There are fairly simple algorithms of graph planarity definition, if it contains a Hamiltonian cycle. However, the task of finding the Hamiltonian cycle in the graph is NP hard. In this regard, the work proposed a quantum search algorithm for finding the Hamiltonian cycle in a graph, which is a modification of the Grover algorithm. The genetic search algorithm is used when the Hamiltonian cycle is not found in the graph. Since the genetic algorithm work quality strongly depends on the parameters choice, the proposed method fundamental difference is the use of special indicators to analyze the further use of the genetic algorithm operators in the evolutionary adaptation unit. Experimental results have shown developed method effectiveness for solving the classical problem of determining the graph planarity and reducing the total algorithm operating time, using special population degradation degree indicators.
A high-isolation eight-way Power Combiner

A high-isolation eight-way power combiner is proposed in this paper. It is constructed by cascading three-stage power combiners in series. Its high isolation and low return loss characteristics are realized by the lumped isolators, side isolated network, and resistive septum. The eight-way power combiner is substantially a 17-port mode network. It consists of eight input ports, eight matching ports, and one output port. The mode network matrix cascade computation clearly reveals its working mechanism. Based on the 17-port network, an eight-way power combiner is realized with eight matching ports connected to loads. The model has been constructed and simulated in Hfss software. Simulation shows that from 8 to 10 GHz, the return loss is greater than 20 dB, the isolation is greater than 20 dB, and insertion loss is less than 0.15 dB. Its cross-section areas are approximately 0.3 λ×1.5 λ for the central frequency of 9 GHz. It is suitable for the integration of high power amplifiers.
Miniaturized Lumped Coupler with Low Frequency Signals Suppression

A miniaturized low temperature co-fired ceramic (LTCC) coupler using lumped-elements with low frequency signals suppression is fabricated and verified. The proposed structure achieved significant circuit size reduction using 3D spiral inductors and vertical interdigital capacitors (VICs). The overall size of the coupler is only 8 × 8 × 1 mm. Electromagnetic (EM) – simulated S11, S21, S31 and S41 are better than −26, −2.7, −3.1 and -26 dB at 200 MHz, respectively. Moreover, 40 dB suppression at the half center frequency (50 MHz) is obtained.
A Millimeter-Wave On-Chip Bandpass Filter with All-Pole Characteristics

This paper presents a millimeter-wave on-chip bandpass filter (BPF) with all-pole characteristics. It is believed to be the first time that an all-pole frequency response has been successfully implemented by using a standard 0.13-µm Silicon-Germanium (SiGe) technology. To further demonstrate the feasibility of using this approach in practice, the designed resonator is fabricated. The measured results show that the BPF has an insertion loss of 2.2 dB at the center frequency of 31 GHz. The return loss is better than 10 dB from 26.5 GHz to 37.5 GHz. In addition, the out-of-band suppression of this filter is superior, which is better than 20 dB beyond 50.6 GHz. The chip size, excluding the pads, is only 0.091 × 0.268 mm2.
A Novel Strip-Line Hybrid Triple-Mode SIW Filter

In this paper, a triple-mode SIW resonator based on the SIW rectangular cavity and strip-line hybrid structure are proposed. The proposed triple-mode SIW cavity excites three frequency-tunable resonant modes. A filter based on the proposed triple-mode resonator is simulated and fabricated. The filter has high out-of-band rejection and sharp skirt selectivity due to two close band transmission zeros. In addition, the operating bandwidth of this filter can be controlled by changing the length of the trip-line and the position of the perturbed metallic vias. Finally, the simulated and measured results are presented and compared to verify the design method.
Data Analytics Platform for the Optimization of Waste Management Procedures

Today, the use of IoT devices, the inter-connectivity of machines and systems, and the development of novel analytic algorithms which are main characteristics of Industry 4.0 are also transferred to other domains connected to the industrial one. The advances on industrial domain have impact on waste management one as these domains are strictly connected. The connection with sensors on industrial partners premises, the big data availability and the significant advances on data analytics, enable the waste management companies to smarten their domain and automate many of their solutions and processes. In this work, we present a data analytics platform for the optimization of waste management procedures. By using this platform, a waste management company is able to monitor and analyze sensors data from industrial partners bins and optimize its planning based on different analytic tools and historical data. Besides the platform description, special focus is given on data analytics algorithms and methods.
Dipole Array Loaded Substrate Integrated E-plane Horn Antenna With Improved Radiation Performance

In this paper, a dipole array loaded substrate integrated E-plane horn antenna is designed. The substrate integrated horn and the loaded dipole array are respectively integrated in different layers of the substrates, and work together to improve the radiation characteristics of the overall antenna. A wide impedance bandwidth of 44% for |S11| < -10 dB (from 26-40 GHz) is obtained. In addition, the proposed antenna has improved radiation patterns with cross polarization below -30 dB, low backward radiation and a gain up to 12dBi over the entire operating band.
Robust Synchronisation of Multi-Agent Systems using the Parameter Space Approach

In Multi-Agent Systems (MAS) one central goal is to come up with controller parameters, which synchronise the agents depending on the communication structure. The parameter space approach (PSA) on the other hand calculates analytically all parameter sets, for which a linear system performs stably. In this paper the PSA is extended toward application to MAS, to derive the set of all synchronising controller parameters. In doing so, the communication structure is exploited in such a way, that calculation time is greatly reduced. In addition, changes in the communication structure can be addressed in terms of a robust choice of the synchronising controller parameters. The practical example of platooning vehicles illustrates the effectiveness of the approach in simulation.
Smart Nonlinear Energy Harvesting

The possibility to take advantage of external and not deterministic vibrations is of great interest in the modern research including sensing elements and transducers. In particular piezoelectric transducers arouse interest in the international community with particular emphasis in the area of measurements and metrology; in fact the literature presents several examples of transducers based on piezoelectric materials but, very often, focusing the attention on a specific prototype able to save energy by using the active material (transducer for energy harvesting) or suitable to perform measurements (sensor) and to transmit the data by using an active circuit. Authors already addressed the idea of smart harvesting where the kinetic energy coming from the environment can be used as input source of a piezoelectric transducer which is able to harvest the vibrational energy, to perform measures of vibrations and, at the same time, it is also suitable to transmit data through an optical system without the adoption of active conditioning architectures. In this paper a suitable nonlinear configuration will be investigated in order to demonstrate its advantage in presence of wideband mechanical energy. Comparison as respect linear oscillator will be here conducted and an experimental campaign will confirm the suitability of the proposed method.
A Compact, Uniplanar Vivaldi Antenna with an Embedded CPW Feed

A novel designed, compact uniplanar Vivaldi antenna for microwave imaging is proposed in this paper. With its broad bandwidth and end-fire radiation performance, it is especially suitable for microwave imaging systems. In the proposed antenna, a novel feed structure is proposed. A CPW feed is embedded into the Vivaldi patches, which ensures the whole structure to be compact and simple. The Vivaldi patches leads to wide bandwidth, high gain and very good front to back ratio compared to conventional antennas. The bandwidth is about 14.9 GHz (1.2 - 16.1 GHz) in terms of the 10dB return loss. Gain of the antenna is 7.0 dBi, and the front-to-back ratio is 16 dB.
Cognitive Game for OCD Effects Minimisation Using IoT

Smart homes using IoT devices for resident monitoring and/or appliances metering, aim to optimise the home environment and provide assistance to health practitioners, when it comes to the elderly or people with certain diseases. Recently, research has moved towards integrating sensory outputs other than visibility and audio, with sensors aiming to mimic all five senses of the human. In this paper, we take onboard an IoT installation scenario with cameras, RFID tags and an electronic nose to capture repetitive behaviors of home residents suffering from Obsessive Compulsive Disorder (OCD) episodes. We propose the setup of such an IoT system, which utilises visible, movement and smell sensors. We devise an OCD metric to classify the behavior of the resident and we give a Hidden Markov Model (HMM) algorithm to classify and predict the behavior based on the metric. Finally, when OCD behavior is identified, we provide a game-theoretic algorithm for the patient to play, in order to minimise the OCD intrusive thoughts.
A Virtual Force Interaction Scheme for Monitoring Complex Unknown Environments by Autonomous Mobile Robots

In this paper, a task of monitoring complex unknown environments by a large group of autonomous robotic agents is tackled, where it aims to find a final deployment of agents with good distribution and a large area of coverage. A novel Virtual Force Interaction Scheme (VFIS) among agents and an environment is proposed to accomplish the task. In addition to the virtual repulsive force exerted on agents for local exploitation, a new type of virtual force, vortex force, is firstly introduced for better exploration of the whole environment. In VFIS, each agent consecutively updates its position according to the varying virtual forces it bears and the final distribution is obtained after some iteration. The designed scheme has been validated in a series of experiments with different configurations successfully. Furthermore, the new structure particle swarm optimization is utilized for finding more efficient, obstacle-free trajectories from the initial positions to the final distribution after VFIS is applied.
A 71 GHz 3-Stage Rectifier with 8% Efficiency

This paper presents a 71 GHz fully on-chip 3-stage inductor-peaked rectifier in 65-nm CMOS technology. The multistage rectifier is the bottleneck in realizing on-chip wireless power receivers. In this paper, sensitivity and efficiency problems of the mm-wave rectifier are discussed and a 3-stage inductor-peaked rectifier structure is proposed and realized. By cascading inductor-peaked rectifiers with optimized layout, the measured rectifier provide 1 V output voltage with 5 dBm input power at 71 GHz, it also reaches 8% efficiency with 720 µA current load. Compared to previous work of 45 GHz rectifier with 1.2% efficiency [1] and 62 GHz with 7% efficiency [2], this work provides higher efficiency and higher output voltage for mm-wave wireless power receivers.
Simultaneous Design of Power Flow and Controller to Enhance Damping Performance of Power Systems *

In this paper, we address a problem of enhancing damping performance of power systems. The performance enhancement is achieved by simultaneous design of the power flow and controllers. The power flow design problem is formulated as parameter design in the parameter-dependent power system model. We propose a solution method to the parameter design, which is based on iteratively solving linear matrix inequalities. In order to further improve the damping performance of the power system, controller design is combined with the parameter design.
Subspace and Coordinate Transformation for Boolean Control Networks using Binary Logic

Based on binary logic, this study presents a new framework to analyze the dynamics of Boolean control networks (BCNs) and investigates the basic problem of state-space approach without using the semi-tensor product (STP). The logical form of BCNs is transformed into a discrete-time bilinear system by resorting to Khatri-Rao product and Boolean minterms. This certainly reduces the computational efforts compared to the STP based method. Subspace and regular subspace of a Boolean state-space are defined for BCNs. Necessary and sufficient conditions for the existence of a regular subspace are presented. Further, a general procedure is given to obtain the logical coordinate transformation. On the same lines, output-friendly subspace is also defined. At last, suitable examples are given to illustrate the validity and benefits of the presented results, and application outlook of this framework.
Entropy of Controller Movements Reflects Mental Workload in Virtual Reality

Virtual Reality can impose cognitive demands on users and influence their task performance. These cognitive demands, however, have been difficult to measure precisely without inducing breaks of presence. Based on findings in psychological science on how motion trajectories reflect underlying cognitive processes, we investigated entropy (i.e. the degree of movement irregularity) as an unobtrusive measure of mental workload. Entropy values were obtained from a time-series history of controller movement data. Mental workload is considered high over a given time interval, when the measured entropy is high as well. By manipulating the difficulty of a simple rhythm game we could show that the results are comparable to the results of the NASA-TLX questionnaire, which is currently used as the gold standard in VR for measuring mental workload. Thus, our results pave the way for further investigating the entropy of controller movements as a precise measurement of mental workload in VR.
Reduction of the 6th and 12th Harmonic in the Torque Ripple of a Salient Pole Synchronous Reluctance Machine

In this paper a reduction method for torque-ripple is evaluated. Synchronous reluctance motors (SynRM)combine highly efficient operation with low initial costs of the drive system. The disadvantage of the used salient pole rotor structure is that a strong torque-ripple could occur. To deal with this unwanted torque harmonics the classical mathematical model of the SynRM has to be enhanced. With this extended model a torque-ripple suppression method was developed which does not require detailed information of the system. These theoretical approaches were experimentally tested on a prototype to verify the performance of the enhanced drive system.
Real-time Animation and Motion Retargeting of Virtual Characters Based on Single RGB-D Camera

The rapid generation and flexible reuse of characters animation by commodity devices are of significant importance to rich digital content production in virtual reality. This paper aims to handle the challenges of current motion imitation for human body in several indoor scenes (e.g., fitness training). We develop a real-time system based on single Kinect device, which is able to capture stable human motions and retarget to virtual characters. A large variety of motions and characters are tested to validate the efficiency and effectiveness of our system.
Parkinson’s disease and Levodopa effects on muscle synergies in postural perturbation

Assessing effects of neurodegenerative disorders, such as Parkinson’s disease (PD), on muscle activation for maintaining balance is a research topic of interest to clarify the pathophysiology of postural instability. This study aims to a deeper insight into pathophysiological mechanisms associated with balance disorders in PD patients, under and not under dopaminergic treatment, through muscle synergy analysis. Ten patients with PD and ten age-matched healthy subjects were exposed to external perturbations around the vertical axis (yaw perturbations). PD patients were evaluated twice, both under their usual dopaminergic therapy (ON) and after a medication washout period of 12 hours (OFF). Two different external perturbations were provided using the RotoBit1D. Muscle activities of 12 bilateral muscles of the upper body were gathered through surface electromyography. To extract muscles synergies, the Non-Negative Matrix Factorization was performed and the Variability Account For was used to assess the minimum Number of Synergies (NoS). Mean, standard error and Coefficient of Variability (CoV) of the total Variability Account For (tVAF) for synergies from 1 to the maximum NoS found were considered. No statistical differences were found considering the NoS that ranged from 2 to 7 among all participants. Statistical differences were found in the tVAF between PD patients and healthy subjects. No statistical differences were found between PD patients OFF and ON state of therapy for all NoS. Finally, the minimum NoS of PD strongly correlated with specific clinical evaluation scores, such as cognitive function and bradykinesia. These findings unveiled poor balance control strategies in PD patients, depending on cognitive and motor impairment and not responding to dopaminergic treatment.
Vibro-tactile Feedback for Real-world Awareness in Immersive Virtual Environments

In immersive virtual environments (IVE), users' visual and auditory perception is replaced by computer-generated stimuli. Thus, knowing the positions of real objects is crucial for physical safety. While some solutions exist, e. g. , using virtual replicas or visible cues indicating the interaction space boundaries, these are limiting the IVE design or depend on the hardware setup. Moreover, most solutions cannot handle lost tracking, erroneous tracker calibration, or moving obstacles. However, these are common scenarios especially for the increasingly popular home virtual reality settings. In this paper, we present a stand-alone hardware device designed to alert IVE users for potential collisions with real-world objects. It uses distance sensors mounted on a head-mounted display (HMD) and vibro-tactile actuators inserted into the HMD's face cushion. We implemented different types of sensor-actuator mappings with the goal to find a mapping function that is minimally obtrusive in normal use, but efficiently alerting in risk situations.
Design of a 38 dBi Slot Array on Gap Waveguide at 140 GHz

In this paper, a cavity-backed full-corporate feed slot array antenna based on ridge gap waveguide at 140 GHz is presented. In order to fabricate the proposed slot array by computerized numerical control (CNC) milling technology, the length of metallic pins is selected as large as possible. Since the full-corporate feed networks are very dense, and only one row of metallic pins is required to isolate the coupling effect between any two neighbored distribution networks. In the work, height value of the bed nails are well selected so that the mutual coupling are below -20 dB. The simulated results show that the proposed array antenna has an input impedance bandwidth of 11% better than -10 dB. The bandwidth covers 135-150 GHz frequency band. The simulated gain is higher than 38 dBi over 135-150 GHz.
Geometric Tracking Control of Aerial Robots Based on Centroid Vectoring

This paper focuses on presenting the concept of geometric tracking control for an unmanned aerial vehicle (UAV) based on variations in center of gravity (CoG). The proposed UAV model has the ability to exploit its dynamic CoG as a means of stabilization and control. A mathematical model of such a system is used as a base for developing the nonlinear geometric tracking controller on the special Euclidean group SE(3). Finally, two unique UAV models, presented with a trajectory tracking problem, are simulated in a realistic simulation environment. Performance of the selected control terms is analyzed based on relevant simulation results.