Miracle-dz/UniFAR-FTUs huggingface dataset:
Reduction of DC/DC Converters EMI Emission Using Bi- and Unidirectional QR-ZVS Topologies

Switched-mode power supplies (SMPSs) operating at high switching frequency (HSF) in the MHz range offer advantages such as improved output voltage regulation, reduced filter size and lower system cost. However, these benefits come with challenges. HSFs can lead to increased total losses, reduced efficiency and severe electromagnetic interference (EMI) emissions, due to transient current and voltage (dv/dt, di/dt). Although wide bandgap (WBG) devices - such as Gallium Nitride (GaN) and Silicon Carbide (SiC) transistors– can afford HSFs, but on the cost of greater switching losses and EMI noise, especially when opting for hard-switching pulse width modulation (PWM) converters. To address the EMI emissions, various methods have been explored, which include the use of EMI filters, the adoption of different spread-spectrum modulation methods, selecting appropriate components along with improved circuit design, and soft-switching techniques. This paper presents the use of the quasi-resonant (QR) zero voltage switching (ZVS) technique for the purpose of reducing the converter EMI noise and enhancing its efficiency, while opting for HSF up to 4 MHz with GaN-HEMT, using fixed LC resonant tank parameter.
Design of A Reconfigurable Filtering Switch with Sharp Rejection and Wide Stopband

This paper presents a reconfigurable filtering switch based on stub-loaded resonators (SLRs). The resonance conditions of SLRs are obtained using the odd-/even-mode analysis. The mechanism of the switching and reconfiguration is then described. By introducing two signals at symmetrical positions of the SLR, the excited odd mode resonance will be canceled out. Controlling the access of the terminal grounding resistors at the stub enables the detuning of the even mode resonance without affecting the odd mode circuits. In the off-state, both resonant modes are detuned, resulting in an ultra-wide stopband with exceptional isolation. A four-pole prototype is designed for validation. The prototype showcases two switchable passbands centered at 1.52 and 2.66 GHz, with the fractional bandwidth of 11.8% and 13.1% and the minimal in-band insertion losses of 1.75 and 2.28 dB, respectively. The off-state isolations are 42 dB and 20 dB for the two operating bands.
A New Variable Reluctance Memory Machine with DC Bias Magnetization Capability and Multiple Permanent Magnets

This paper proposes a new variable reluctance memory machine with DC bias magnetization capability and multiple permanent magnets. The proposed machine only has a set of windings which are not only armature windings but also the magnetization windings leading to the improvement of space utilization rate and the overall torque density. The magnetization level of low coercivity force (LCF) permanent magnet (PM) can be changed by the DC bias current which enables the proposed machine to obtain the capability of flux regulation. The topology and electromagnetic characteristics at different magnetization levels are analyzed and investigated, which demonstrates that the proposed machine has the good ability of flux regulation.
A 0.6V Beat-Frequency ADC with Processing of Oscillator Internal States for Resolution Improvement

Two main trends exist for improving integrated circuits: miniaturization and functional diversification. In this work, a design method to complement these trends, subcircuit sharing, is proposed, wherein a system is optimized by unifying subcircuits that redundantly have the same basic functionality, such as counters and oscillators, to decrease overall power consumption and circuit area. This concept is explored through the design of a Beat-frequency ADC using an All-digital PLL. The internal states of an oscillator shared between the ADC and the PLL and an oscillator unique to the ADC are analyzed to improve the resolution of a 7-bit counter. For a 1kHz, 0.1 $V_{\text{PK-PK}}$ sine wave input, an efficiency of 142.3pJ-per-sample, power consumption of $36.3 \mu \mathrm{W}$ including $9.93 \mu \mathrm{W}$ (27.4%) shared with the AD-PLL, and an ENOB improvement by 0.87 bits up to 6.39 bits versus a conventional Beat-frequency ADC were achieved.
Few-Shot Image Semantic Segmentation based on Contextual Information Encoding Strategy

1In recent years, remarkable advancements have been achieved in the field of image semantic segmentation through the utilization of deep convolutional neural networks (CNNs). Nevertheless, the development of semantic segmentation is hindered by the requirement of a substantial amount of intensively labeled training samples in conventional deep learning networks. The objective of few-shot semantic segmentation is to accurately segment objects within a target class using a limited number of annotated images for learning. Currently, most methods in the few-shot segmentation field are highly sensitive to target categories, meaning that they have weak generalization ability and that segmentation results can vary greatly across different categories. Furthermore, a common drawback among many of these methods is the underutilization of the semantic information available in the support set, leading to suboptimal segmentation performance. To overcome these challenges, we introduce a novel strategy for encoding contextual information in our paper, specifically designed for few-shot image semantic segmentation. First, we propose a metric network to obtain prototype representations of feature classes from the supporting images. Furthermore, we introduce a novel Contextual Advanced Semantic Extraction (CASE) module to learn the trade-off between depth, width, and resolution. To mitigate the detrimental effects of foreground-background class imbalance, we also put forth a hybrid loss strategy as an additional contribution.
An Information Filter for Efficient Attitude Estimation of Fixed-Wing Unmanned Aerial Vehicle

The autonomous control of unmanned aerial vehicles depends on stable and precise attitude estimation. An important system for unmanned aerial vehicle attitude estimation is the Attitude Heading Reference System (AHRS), which uses an inertial measurement unit and a magnetic sensor as measurement sensors. An attitude heading reference method based on information filter is presented to address the issue of the Attitude Heading Reference System’s low accuracy, which is brought on by the nonlinear attitude model of the fixed-wing unmanned aerial vehicle. Simulated results based on the Federal Aviation Administration’s (FAA) X-Plane 11 simulator, which is approved for subsonic terrestrial flight, are used to evaluate the method’s performance in comparison to an Extended Kalman Filter (EKF)- based AHRS. The findings suggest that a microcontroller can perform well in real-time at a reasonable computational cost.
Improved Malnutrition Classification: A Grey Wolf Optimization-Based Feature Selection Approach with Random Forest Model

Malnutrition remains a critical health issue, especially among children, necessitating an effective and accurate classification model for early identification and intervention. In response to this challenge, this research proposes a novel approach for feature selection using the Grey Wolf Optimization (GWO) algorithm in the context of the Random Forest (RF) model. This study aims to enhance the accuracy of malnutrition classification by optimizing feature selection, considering varied configurations of Search Agent (SA) in the GWO algorithm. Comparative evaluations are conducted with different SA settings (SA=5, SA=20, SA=50) to assess their impact on the performance of the RF model. The results indicate that the proposed model, especially with SA=50, outperforms other configurations, achieving a significant accuracy improvement of 74%. These findings underscore the importance of optimal feature selection in enhancing the classification accuracy of the RF model for malnutrition, providing valuable insights for early detection efforts and targeted interventions.
Back to goodwill amortisation and the ﬁnancial performance of public and private ﬁrms in Spain

We take advantage of the change in goodwill regulation in Spain after 2016, to contribute with a comprehensive analysis of a scenario barely studied in the recent literature: the inverse transition from goodwill impairment to the systematic amortisation of goodwill. Using a database with the individual ﬁnancial statements of all Spanish non-ﬁnancial ﬁrms, both listed and non-listed, with positive goodwill on balance, we contribute in two instances. On the one hand, we seek to obtain evidence of whether managers behaved opportunistically during the impairment regulation period using a test of the determinants of goodwill impairment recognition. On the other hand, through a differences-in-differences approach against a sample of 4,000 control ﬁrms, we test the differential impact of the change in regulation on the return on assets of those ﬁrms with goodwill in their balances. Our results are in line with extant research suggesting that the systematic amortisation of goodwill paired with a periodic impairment test limits earnings management practices and help investors assess the economic performance of a ﬁrm.
A Multiple Marker Design for Precision and Redundant Visual Landing in Drone Delivery

Drone delivery has been one of the promising applications of drones in real life. Precision Landing is an important mission to deliver the package to the customer’s place. Visual marker has been studied to provide accuracy in pose estimation during landing based on a downward camera since GPS localization may be disrupted at low altitude due to high building occlusions. However, there are still some remaining issues of previous visual marker design such as the trade-off between detection altitude and marker size, lack of redundancies, weakness to motion blur, occlusions on the landing pad and possible issues related to the utilization of a single marker family. This paper proposed a multiple marker design for precision and redundant visual landing combining multiple types of marker families: Whycon, Aruco and AprilTag. The design and respective algorithms to detect multiple markers on the design have been evaluated in both photo-realistic simulation and practical environments. A smooth and precise trajectory for visual landing is successfully performed from the altitude of 25 m even in the case of occlusions or possible issues happened with one of the marker detector algorithms.
An Efficient Computational Performance Analysis Method for CGRA-based Deep Learning Accelerator

With the rapid advancement of deep learning technology and the Internet of Things (IoT), new applications are continuously emerging, such as image classification and object tracking, which require deployment on edge computing devices. These applications pose higher demands on computational complexity, latency sensitivity, and rapid iterative updates, while also challenging the energy efficiency and flexibility of edge computing devices. In previous research, we have observed that Coarse-Grained Reconfigurable Architecture (CGRA) maintains flexibility post-fabrication and achieves energy efficiency ratios close to ASICs, making it suitable for designing low-power, high-performance edge computing chips. As a result, research on CGRA-based deep learning accelerators has been steadily increasing. To rapidly assess the performance bottlenecks of CGRA in accelerating compute-intensive regions of deep learning applications and provide guidance for specific hardware designs before undertaking CGRA design, we propose a CGRA-based theoretical analysis method. This method enables quick evaluation of CGRA’s computational performance under deep learning workloads. Through experimentation, we have demonstrated that our theoretical analysis method is effective and can be used to guide CGRA-based accelerator designs.
A Circularly Polarized Reconfigurable Antenna with a Simple ±45° Harpoon-Shaped Feeding Microstrip Line

This paper introduces a slot-loaded patch antenna with reconfigurable circularly polarized states. The proposed antenna consists of a radiator with an open circular slot located in the upper layer of the substrate and a simple ±45° harpoon-shaped feeding microstrip line on the bottom layer. In order to achieve circular polarization, we introduce a perturbation into the slot. With regard to the feeding line, a ±45° harpoon-shaped microstrip line is proposed to achieve polarization reconfiguration. There are two insertions of two PIN diodes in the feeding line. Right-handed circular polarization (RHCP) and left-handed circular polarization (LHCP) states can be achieved by controlling the PIN diodes in their ON and OFF states. The proposed antenna has been designed, fabricated, and tested to demonstrate the concept. The results demonstrate the success of the polarization reconfigurable capability. In addition, a wide impedance bandwidth of 2.08 to 3 GHz and an axial-ratio bandwidth of 2.32 to 2.54 GHz are realized.
Fully Monolithic 1A Thermoelectric Cooler Controller with 90% Efficiency

A fully monolithic thermoelectric cooler (TEC) controller is designed and implemented to provide fixed as well as pre-programmed DC voltage to the TEC in 65 nm CMOS technology with $\mathrm{V}_{D D}$ of 1 V. The on-chip controller incorporates linear and pulse width modulation (PWM) drivers, connected to form an H-bridge driver circuitry. The bridge circuit drives the TEC module with an efficiency of 90%. The proposed monolithic controller includes an on-chip PWM filter to eliminate the output voltage ripple within 1% of $\mathrm{V}_{D D}$. The filtering inductor in the feedback loop is designed using the transconductance-capacitance $\left(\mathrm{G}_{m} \mathrm{C}\right)$ based network to obtain the required inductance of 67 mH and quality factor of 6.9 K. The simulation results exhibit a maximum output current of $1 \mathrm{~A}$ for a temperature range of −20°C to +100°C with $2 \mu \mathrm{A}$ and 0.01% of mean deviation over 6$\sigma$ in a case of output current and efficiency, respectively.
Exploring Gate-Diversity Enabled by Reconfigurable Memristive Technology

While memristive devices are highly attractive as memory cells, they are also capable of performing computations, paving the way to futuristic in-memory computing architecture. Several memristive logic families have been proposed, and approaches to map gate-level logic circuits to such memristive implementations have been introduced. In this paper, we focus on the CRS logic family that offers several advantages compared to the more often considered IMPLY and MAGIC families. A central feature of CRS is the ability of one physical memristive device to realize varying logic gates over several clock cycles. Our method computes a schedule, i.e., an assignment which logic gate of a given circuit is executed on which memristive device during which clock cycles. Using an optimal MaxSAT model, it can minimize the resulting schedule’s duration (depth), the cost of the used memristors, or the cost of additional cache register cells, while satisfying all dependencies needed for correct computation. In addition to results of the scheduling procedure itself, we report a physical experiment that demonstrates one of the schedules and discuss the energy benefits of the CRS family.
Spin-Decoupled Polarization-Preserving Transmit-Array Antenna for Mm-Wave Wireless Systems

Here, we demonstrate a spin-decoupled polarization-preserving transmitarray antenna (TA) for millimeter-wave applications. The TA can independently manipulate the LHCP and RHCP wavefront while the output polarization is maintained. This feature differentiates the design from state-of-the-art works using Pancharatnam-Berry (PB) phase. To demonstrate, the TA that can achieve LHCP and RHCP independent high-directive beam steering is demonstrated.
Dual-Channel Models for Polarization-Insensitive & High-Isolation Microwave Power and Data Delivery

In this research, dual polarization-insensitive and high-isolation channels are modeled for simultaneously wireless power and data transmission, whose structure is proposed with an integration of dual-linearly-polarized (DLP) antennas and hybrid couplers symmetrically positioned at transmitting (TX) and receiving (RX) terminals. Four port S-parameters of dual TX and RX DLP antennas are derived under a polarization tilt (i). By cascaded with two hybrid couplers, another 4-port network can be established, which facilitates dual channels $(P_{1}\leftrightarrow P_{3},\ P_{2}\leftrightarrow P_{4})$ for polarization-insensitive and high-isolation microwave power and data delivery. The S-parameter results at 0°, 30° and 75° tilt angles of the model shows that dual channel with polarization-insensitive and high-isolation is established. ADS simulation at a specific condition for polarization tilt of $\varphi$ = 0° is conducted to validate effectiveness of the proposed dual-channel models.
Iron Loss Analysis of Permanent Magnet Motor in High-Temperature and High-Pressure Environment Based on Structure-Activity Relationship Between Materials and Environment

The work presents an accurate iron loss analysis method for permanent magnet motor in high temperature and high pressure environment. The proposed method fully takes into account the relationship between materials and environment. Furthermore, the method. This method is proposed by improving the existing iron loss calculation formula based on fully understanding the influence of high-temperature and high-pressure environments on the characteristics of soft magnetic materials. In order to verify the accuracy of the proposed method, the results obtained from the proposed method are compared with the experimental results. The method shows sufficient accuracy to fully reflect the influence of environment on iron loss of motor for high-temperature and high-pressure motor.
Sources of Information Diffusion and Adoption of Agricultural Technologies: Evidence from Cambodia

Agricultural development remains a central component of rural economic development policies in Cambodia, but empirical studies on the association between access to agricultural extension services and adoption of agricultural technologies remains limited. This study uses the Cambodia Inter-Censal Agriculture Survey (CIAS) 2019 to investigate potential causal relationships between access to agricultural extension services and propensity of adopting agricultural technologies among rural farm households, including an effort to disentangle the channels through which information about new technologies could be diffused. Empirical results from instrumental variable (IV) regression show that access to agricultural extension services remains crucial to promote adoption of new technologies among farmers. However we also observe that peers and traders are important channels through which information about new technologies may be diffused, especially under resource-scarce conditions. Hence, policies and development strategies seeking to promote the adoption of agricultural technologies in Cambodia should prioritize both current extension models as well as the strengthening of social networks and relationships among farmers, traders and other actors in the agricultural value chain.
Design of a 2-Bit Metal-Graphene Hybrid Reconfigurable Reflectarray at THz Frequencies

In this paper, a metal-graphene reconfigurable reflectarray antenna (RRA), which can realize dynamic beam deflection during 137.5-142.5GHz with high gain is designed. The reflection element is composed of a silicon substrate and a metal-graphene patch with a dimension of 0.8mm×0.8mm (0.37λ×0.37λ). The reflection amplitude is kept within −0.7dB, and the reflection phase covers a range of 360° with 2-Bit accuracy. A pyramidal horn antenna is used as the spatial normal feed. The array consists of 19×19 reflection elements (7.1λ×7.1λ), and can achieve multiple beam directions in the range of -60° to 60°, with mainlobe more than 18.20 dB and SLL lower than -9.69 dB. The proposed reflectarray provides a feasible way for the design of sub- THz tunable smart reflectarrays.
The Virtual-Impedance-Based Transient Oscillation Suppression of Multiple Grid-Forming Converters Under Superconducting Transmission

With the fast development of superconducting material, the superconducting transmission in modern power system is becoming a promising objective. Besides, the power electronics converter plays an important role in the modern power system. The grid-forming converter has been proposed to mimic the behavior of synchronous generator for the operation of modern power system. However, due to the zero electrical resistance of superconducting transmission, the interaction among different grid-forming converters may cause the transient power oscillation. To suppress the transient power oscillation among multiple grid-forming converters, a virtual impedance control schemes in grid-forming converters is proposed in this paper. The feasibility of the proposed virtual impedance is validated in the simulation.
Implementation of Support Vector Machine Method for Customer Segmentation

The rapid development of the business world in this modern era causes companies to face tight business competition in these competitive markets. Especially in terms of meeting consumer needs and requirements. To survive and keep up with the competitors, companies need to scheme special planning to win the market and one of them is by implementing a marketing mix which consists of Product, Price, Distribution and Promotion elements. By conducting marketing segmentation, the marketing process will become more directed and accurate so that the company’s resources can be used effectively and efficiently. So, in this study, the Support Vector Machine algorithm will be implemented to classify existing market segments with 541.909 transaction data obtained through the Kaggle website by labeling the data from 0 to 4 for five different customer segments. The results obtained from the application of the Support Vector Machine algorithm to classify consumer segments using 80% of training data and 20% of testing data managed to provide an accuracy rate of 96%.
Evaluation Of Flux-barriers For Synchronous Reluctance Motors

This paper introduces two distinct methods for enhancing the electromagnetic torque and output power of synchronous reluctance motors (SynRMs). These approaches are developed by taking into account two specific motor models: SynRM 1 with equal geometry flux barriers and SynRM 2 with optimized geometry flux barriers. In the SynRM 1, all the flux-barriers have the same bridge thickness, outer thickness, inner thickness; The number of flux-barriers is considered. In the SynRM 2, the optimal number of flux-barriers is selected from the SynRM 1. By changing the geometry of the flux-barriers, the motor’s design is enhanced to minimize torque ripple, leading to smoother operation and improved performance. Next, a finite element technique is applied to calculate and simulate electromagnetic parameters, such as the flux density, average torque and output power. As a result of the analytical modeling, the SynRM is designed with 4 flux-barriers and different geometries of flux-barrier to improve the torque ripple and torque characteristic of SynRM motor.
Torwards Variability Immune Scalable FeFET-based Macros for IMC DNN Accelerators

This paper explores the influence of the drain current variation in crossbars of different scaled FeFET devices for IMC macro design. Several methods are proposed to mitigate the increased device variability in highly scaled memory devices by improvements on circuit, architectural, and algorithmic levels to reduce the associated accuracy loss. The efficiency of these new techniques is demonstrated on various relevant image classification benchmarks.