Miracle-dz/UniFAR-FTUs huggingface dataset:
Outage-Optimal and Suboptimal Power Control for D2D Communications in SWIPT Cellular Networks With Local CSI

In this letter, we consider a downlink cellular network where a cellular user (CU) not only decodes information but also harvests energy. By reusing the spectrum resource of the CU, a device-to-device (D2D) transmitter sends its own signals to a D2D receiver. In order to protect the CU from the interference due to the D2D signals, we propose transmit power control schemes for the D2D transmission without increasing the outage probability of the CU. This is possible since the CU’s information loss due to the D2D signals can be compensated by the CU’s energy harvesting gain from the D2D signals. For asymptotic performance analysis, we provide a lower bound on the D2D outage probability. The numerical results show that the proposed schemes outperform the conventional scheme.
Wideband Beam-Switched Bow-Tie Antenna With Inductive Reflector

A wideband pattern reconfigurable bow-tie antenna on an inductive reflector is presented. The antenna consists of three bow-tie structures printed on an FR-4 substrate and controlled by six p-i-n diodes. The excited bow-tie at each operating state acts as the driven antenna, while the other bow ties act as the parasitic elements. To achieve low profile and high gain with directional radiation, a 5 × 5 metallic mesh-grid structure is designed as an inductive reflecting surface. It is located at a distance of <inline-formula><tex-math notation="LaTeX">$0.08{\lambda _0}$</tex-math></inline-formula> (where <inline-formula><tex-math notation="LaTeX">${\lambda _0}$</tex-math></inline-formula> is the wavelength at the lower operation frequency) from the radiator. The antenna is able to steer the radiation pattern at the angles −25°, 0°, and +25° in the azimuth plane. Moreover, it is capable of electronically switching polarization along the diagonal section of the antenna's surface. It has a compact size of <inline-formula><tex-math notation="LaTeX">$0.6{\lambda _0} \times 0.6{\lambda _0} \times 0.08{\lambda _0}$</tex-math></inline-formula>, measured fractional bandwidth of 37% at 0.8–1.16 GHz for tilted states, peak measured gain of 9 dBi, and maximum measured front-to-back ratio of 12 dB with ±1 dBi gain variations and ±3° peak pattern's direction variations across the whole bandwidth in all operational states.
Partial View Segmentation: A Novel Approach to the Brain Tumor Segmentation

This project proposes a novel approach Partial View Segmentation to employ the artificial neural network for the brain tumor segmentation. In contrast to the traditional method, PVS focuses on a part of each multimodal magnetic resonance image scan where brain tumor is most concentrated. The model is trained and assessed based on the public dataset, containing glioblastoma (GBM/HGG) and lower grade glioma (LGG), from Multimodal Brain Tumor Segmentation Challenge 2019. The model eventually achieves 88.15%, 58.51%, 54.11% and 57.11% accuracy for four different labels (background, the GD-enhancing tumor, the peritumoral edema, and the necrotic and non-enhancing tumor core) after 500 epochs. The model with Partial View Segmentation outperforms that with traditional 3D U-net or 2D slices method.
Estimation of an Unbalanced Grid Impedance Using a Three-Phase Power Converter

This paper proposes a real-time method for estimating an unbalanced grid impedance using a three-phase converter. In the method, a periodic single-frequency or multi-frequency excitation signal is added to the converter voltage reference. The converter measures currents and voltages at the point of common coupling. The impedance estimate is obtained from the measurements using sliding discrete Fourier transform (SDFT). The method is experimentally validated.
Infection with Basidiospores of Thanatephorus cucumeris (AG-2-3 of Rhizoctonia solani) and Development of Soybean Foliar Blight Lesions

Soybean leaves artificially inoculated with basidiospores of Thanatephoyus cucumeris (AG-2-3 of Rhizoctonia solani) developed at first, primary lesions, then, secondary lesions and eventually, irregular large-sized lesions. The germ tubes of the germinating basidiospores formed appressoria and their infection pegs penetrated into the epidermal cells. A stroma-like structure was produced within the invaded tissues. Hyphae growing radially from this structure formed circular necrotic spots (•.1mm diam.) which corresponded to the primary lesions. After further incubation in a moist chamber, hyphae from the primary lesions continued to grow on the leaf surface and hyphal tips re-entered the leaves through the stomata, causing secondary lesions with circular to irregularly shaped areas of necrosis around the primary lesions. The large-sized irregular lesions developed from additional hyphal infection through stomata. Many fruiting hymenia of the pathogen were detected on the stems of winter wheat or soybean, especially in fields where soybean was intercropped with winter wheat. The severity of the soybean foliar blight lesions caused by basidiospores increased with the delay in wheat harvest or with the increase of the soybean planting density. (Received January 18, 1995; Accepted April 10, 1995)
Skeleton-based 3D Model Descriptor and Its Application in Non-rigid Shape Retrieval

In this paper, we propose a novel skeleton-based 3D model descriptor to describe the shape of a triangular surface mesh. The main idea is to match skeleton tree by comparing the skeleton tree structure with shape surface area distribution, which is achieved in three steps as follows. First, based on the extracted skeletons of a non-rigid shape and geodesic distance computation, the center point in skeleton is defined and detected. Second, a skeleton tree is constructed based on the relationship between the center point and other discrete points in the skeleton. Finally, a correspondence between the skeleton tree and the area distribution of the non-rigid shape surface is established, and the skeleton-based descriptor is obtained. The advantages of our descriptor are three-fold: (1) scale invariance of geodesic distance and area distribution, (2) low computational complexity of geodesic distance, and (3) automatic topology repair. Experimental results demonstrate effectiveness and accuracy of our method, which is applicable to non-rigid shape comparison and retrieval.
Stability Investigation of Large-Scale PV Parks with Eigenvalue-Based Method

This paper introduces a state-space model (SSM) based framework to analyze the small-signal stability of large-scale photovoltaic (PV) parks. An improved SSM of PV inverters is proposed considering an accurate impact of the grid synchronization. Different methods are implemented to investigate the system stability, including eigenvalue distribution, participation factor and a proposed damping-resonance analysis. Based on that, the reason of an unstable resonance can be identified and the operation and control design can be optimized following a systematic approach.
CARACTERIZAÇÃO DAS AFECÇÕES PODAIS EM REBANHO DE GADO HOLANDÊS CONFINADO

Due to high prevalence and incidence of lameness disorders in dairy cattle, many research studies have been carried out in this area, and some authors concluded that they constitute the third most important cause of discard in herds. Bovine hoof affections lead to a 5-20% decrease in milk production and losses caused by secondary diseases may also occur. This study characterizes podal diseases in cattle with locomotor disorders that were reared under a freestall barn breeding system in a milk farm. A total of 66 Holstein cows of different age groups and lactation periods were evaluated. They all showed some kind of lameness. Assessment of locomotor problems aimed to identify incidence of lesions and areas affected, such as fore and hind limbs and lateral and medial claws. White line disease was the most common problem (26,3%). Other disorders included heel ulcer (20,7%), sole erosion (14,6%), interdigital dermatitis (13,6%), sole hemorrhage (8,1%), septic pododermatitis (8,1%), double sole (6,1%), interdigital hyperplasia (2,0%), and toe ulcer (0,5%). The foot conditions were found to affect hind limbs in 69,3% of the cases, and fore limbs in 30,7%. A total of 58,1% of claw problems occurred in the lateral claw and 41,9% in the medial claw.
Secure Multicast Group Communications for IoT Applications using WSN

Wireless sensor networks (WSNs) are one of the predominant backbone technologies for Internet of Things (IoTs). IoT enabled wireless sensor networks has sensor nodes and resource constrained sensor nodes are used for group communication in the form of multicasting for message deliveries rather than device-to-device communication. In order to secure the multicast group communication messages, it is essential to obtain an efficient key establishment and distribution scheme which maintains the integrity, and provides authenticity and confidentiality for the communication. This paper proposes two group key establishment and distribution protocols for secure multicast group communications between resource-constrained sensor nodes in IoT. Also, the relevance of the proposed protocols is examined based on three different performance parameters such as cost, overhead and packet loss using NS3 simulations based on different nodes.
A Z-Source based Bidirectional Series circuit Breaker for DC Application

A topology of the Z-source circuit breaker which enables a power flow in both the direction with the capability to interrupt dc fault autonomously is discussed. Using the diode bridge in this concept lets the current flow in a forward as well as reverse direction. The bridge arrangement of the diode allows only a single controlled switch to respond to fault on the source as well as the load side. The proposed topology utilizes thynstor as a switch to detach the system from fault with the formation LC network which is necessary for the commutation of thyristor under fault conditions. Compared with different umdirectional series Z-source circuit breaker configuration, no additional passive components are needed. Research is done to identify the states of fault that allow the bidirectional circuit breaker to trip while working in a single-load power system. Then using the MATLAB Simulink platform, the bidirectional circuit breaker operation is assessing for both load and source-side fault.
Design and simulation of hybrid cascaded multilevel inverter

Nowadays, Multilevel inverter technologies has received a lot attention due to its superiority in high voltage and high power with low harmonics applications. Multilevel inverter technology lets in one to acquire excessive satisfactory output voltage and current waveforms. However, when the number of level increase switching element and number of dc sources increases. This issue is resolved by adopting the hybrid technology to synthesize the inverter. The present paper is dedicated to design hybrid cascaded multilevel inverter, which use less number of switching elements and dc sources without using pulse width modulation technique. To evolve the model of hybrid cascaded multilevel inverter, a simulation is achieved based totally on MATLAB/SIMULINK software.
Automatic voltage regulator design based on fractional calculus plus PID controller

In automatic Voltage regulator proportional. , integral and derivative controller (PID) used as a generic feedback controller. In this context PID controller parameters are selected in automatic voltage regulator is a new challenge for the researchers. The AVR regulates the amount of reactive power and voltage. The suggested work provides a technique known as SCA optimization (sine cosine algorithm) to tune the FOPID controller parameters. It has a very simple implementation secure convergence function and the ability to quickly adjust optimum PID controller. The characteristics of optimum FPID controller (Kp.,Ki.,KD) are selected by the novel approached sine cosine optimization technique. To analysis the performance. , it has been observed that SCA-FPID controller offer the efficiency and durability needed to increase the step response of the AVR system.
Full-Silicon 98.7% Efficient Three-Phase Five-Level 3-port UPS Architecture with Wide Voltage Range Battery based on Multiplexed Topology

This paper proposes a new three-phase Multilevel 3-port converter topology based on Multiplexed topology concept which is especially intended for high-power Uninterruptible Power Supplies (UPS) applications with wide battery voltage range and well adapted for high step-down voltage conversion ratio. Compared to other high-voltage conversion ratio Multi-Cell converters, the Multiplexed concept allows cascading power conversion stages without any intermediate filter and optimizing power density. In the studied case it will be used to transfer power between a 1200V DC source and 400V/480V AC load and grid. The proposed converter topology achieves very high efficiency, up to 98,7% in direct AC-to-AC power conversion mode using reduced number of silicon low blocking voltage semiconductor devices. The Hardware In the Loop (HIL) assessment has enabled the development of the modulation strategy and validated the performance of the converter. To validate the feasibility of the Multiplexed concept, both at the topological level and the modulation strategy, of the 5-Level Multiplexed 3-port topology for UPS applications a 100-kW hardware demonstrator featuring a volumetric power density of 3.68 kW/dm3 (60.3 W/in3) has been built.
Millimeter-Wave Broadband Substrate Integrated Magneto-Electric Dipole Arrays With Corporate Low-Profile Microstrip Feeding Structures

A millimeter-wave (mm-Wave) broadband linearly polarized (LP) substrate integrated magneto-electric dipole (ME-dipole) with a low-profile microstrip feeding structure covering the 22–33 GHz band is proposed in this article. It owns a good performance, particularly in terms of bandwidth and gain flatness. Importantly, the proposed substrate integrated LP ME-dipole element can be easily expanded into a full-corporate fed array without bandwidth degradation and requiring additional dielectric substrates. Moreover, its low-profile microstrip feeding structure locating on a hybrid substrate (include a thin dielectric substrate and a bonding film) makes the antennas amenable for direct integration with mm-Wave front-end circuits. Design, fabrication, and measurement of two arrays containing <inline-formula> <tex-math notation="LaTeX">$4 \times 4$ </tex-math></inline-formula> and <inline-formula> <tex-math notation="LaTeX">$8\,\, \times \,\, 8$ </tex-math></inline-formula> ME-dipoles are carried out, respectively. The measured results agree well with the simulated ones, validating the correctness of the proposed designs. The measured results of the <inline-formula> <tex-math notation="LaTeX">$4 \times 4$ </tex-math></inline-formula> and <inline-formula> <tex-math notation="LaTeX">$8\times 8$ </tex-math></inline-formula> array antennas show that both the two prototypes exhibit a wide available bandwidth (considering |S<sub>11</sub>| < −10 dB and 3 dB gain bandwidth) of more than 44%, a cross-polarization level of lower than −35 dB, a low-profile feeding layer of only 0.227 mm, a peak gain of 19.18 and 25 dBi, respectively, etc. The exhibited performance metrics of the proposed array antennas are promising for a number of applications ranging from 5G communications, satellite communications, to automotive radars, and so on.
Autonomic Activity and Surgical Flow Disruptions in Healthcare Providers during Cardiac Surgery

Cardiac surgery represents a complex sociotechnical environment relying on a combination of technical and non-technical team-based expertise. Surgical flow disruptions (SFDs) may be influenced by a variety of sources, including social, environmental, and emotional factors affecting healthcare providers (HCPs). Many of these factors can be readily observed, except for emotional factors (i.e. distress), which represents an underappreciated yet critical source of SFDs. The aim of this study was to demonstrate the sensitivity of autonomic activity metrics to detect an SFD during cardiac surgery. We integrated heart rate variability (HRV) analysis with observation-based annotations to allow data triangulation. Following a critical medication administration error by the anesthesiologist in-training, data sources were consulted to identify events precipitating this near-miss event. Using pyphysio, an open-source physiological signal processing package, we analyzed the attending anesthesiologists' HRV, specifically the low frequency (LF) power, high frequency (HF) power, LF/HF ratio, standard deviation of normal-to-normal (SDNN), and root mean square of the successive differences (RMSSD) as indicators of ANS activity. A heightened SNS response in the attending anesthesiologists' physiological arousal was observed as elevations in LF power and LF/HF ratio, as well as depressions in HF power, SDNN, and RMSSD prior to the near-miss event. The attending anesthesiologist subjectively confirmed a state of high distress induced by task-irrelevant environmental factors during this time. Qualitative analysis of audio/video recordings objectively revealed that the autonomic nervous system (ANS) activation detected was temporally associated with an argument over operating room management. This study confirms that it is possible to recognize detrimental psychophysiological influences in cardiac surgery procedures via advanced HRV analysis. To our knowledge, ours is the first such case demonstrating ANS activity coinciding with strong self-reported emotion during live surgery using HRV. Despite extensive experience in the cardiac OR, transient but intense emotional changes may have the potential to disrupt attention processes in even the most experienced HCP. A primary implication of this work is the possibility to detect real-time ANS activity, which could enable personalized interventions to proactively mitigate downstream adverse events. Additional studies on our large database of surgical cases are underway and new studies are actively being planned to confirm this preliminary observation.
Investigating the Effect of Different Parameters on Harmonics and EMI Emissions at the Frequency Range of 0–9 kHz

Due to the increasing use of fast switching semiconductors, emissions affected by the Adjustable Speed Drives (ASDs) are entering the new frequency range of 2–150 kHz. Emissions at this new frequency range are categorised into 2–9 and 9–150 kHz ranges among the standardization communities. Consequently, designing new filters for theses frequency ranges is of the determined efforts by ASD manufacturers. In this paper, essential factors impacting on the filter design in ASDs for 0–2 kHz and the new frequency range of 2–9 kHz are investigated. Non-linear effects of DC link filter on low order harmonic emissions of 0–2 kHz is investigated to understand how the existing filters can comply with the emerging standard of 2–150 kHz. Moreover, a system model is presented to predict the effects of cables and Electromagnetic Interference (EMI) filter parameters on resonances at the frequency range of 2–9 kHz.
An IoT Smart Lighting System for University Classrooms

This research is the development of an IoT based controller device with a cloud-based system to switch, manage, and monitor the lights of university classrooms. The project output shall aid the problem in the operation of lights from unnecessary energy consumption to save energy. The researchers used a NodeMCU V3 with Wi-Fi capabilities together with a Passive-Infrared Sensor to detect room occupancy and a Relay Switch to operate the switching of lights to create the controller device. The controller device can run using the web and mobile applications over the internet using AJAX. The developed applications not only serve as a controller but a management system to set appropriate schedules for class hours, a monitoring system that indicates the length of usage and the total amount of energy consumed from lights. The management can set class schedules to allow the room to operate the lights on a given period if there are occupants in the room. Failure to occupy the room even with a set schedule, the lights will not turn ON, thus reducing excess energy consumption. Furthermore, lights can still be controlled over a separate remote network through the applications even beyond the given schedule.
TSN-based Converged Industrial Networks: Evolutionary Steps and Migration Paths

The digitalization of production is a strategic goal in the automation industry, though visions and industrial reality remain far apart. A key issue is that today’s segmented communication architecture based on fieldbus networks does not fulfill the future requirements. Converged networks connecting IT and OT systems while maintaining deterministic guarantees for real-time communication are required instead. Time Sensitive Networking (TSN) in the context of IEEE 802.1 Ethernet is a key enabling technology for converged networks. The transition from current communication architectures towards converged networks will not be a disruptive change, but rather an evolutionary process involving many steps. In this paper, an analysis of different dimensions of this transition process and their evolutionary steps is presented. Potential migration paths from current to future production architectures and resulting intermediate brownfield scenarios are identified and analyzed with a focus on their communication architectures.
The Evolving Role of Forest Inventory and Analysis Data in Invasive Insect Research

Enabled by humans’ ever-expanding trade and travel networks, invasive alien species are crossing borders worldwide at alarming rates (Haack 2006; Haack and Rabaglia 2013; Hulme 2009; Kaluza et al. 2010; Koch et al. 2011; Liebhold et al. 2006; Lodge et al. 2006; Perrings et al. 2005; Pysek and Richardson 2010; Tatem 2009; Westphal et al. 2008). An astonishing 50,000 + non-native species have been introduced into the U.S. either accidentally or purposefully, and approximately 4,500 of those introductions have been arthropods (Pimentel et al. 2005). Furthermore, new establishments of non-native species (arthropods and others) continue to accumulate rapidly, at an average of six per year in California and 15 per year in both Hawaii and Florida (Center for Invasive Species Research 2014). In the mid-1990s, it was estimated that some 360 introduced insect species had become established in U.S. forests (Liebhold et al. 1995; reviewed by Moser et al. 2009). According to one estimate, about 30% of those introduced species have since become major forest pests (Pimentel et al. 2005). In a more recent study, Aukema et al. (2010) generated a list of 455 non-indigenous forest pests that had become established in the U.S. as of 2006. A few examples of high-impact forest insect pests include the beech scale [ Cryptococcus fagisuga Lindinger (Hemiptera: Eriococcidae)], which is associated with beech bark disease; the European gypsy moth [ Lymantria dispar Linnaeus (Lepidoptera: Erebidae)], which feeds on hundreds of plant species, …