Miracle-dz/UniFAR-FTUs huggingface dataset:
Performance Comparison of FBP and CS Methods on Microwave Tomography

This paper presents the investigation and comparative analysis of image reconstruction performance on microwave tomography, namely filtered back projection (FBP) and compressive sensing (CS). The investigation is carried out by processing a picture of tree trunk object with a pixel size of 128 × 128. Performance comparison are assessed using mean square error (MSE) and structural similarity index measure (SSIM) parameters. The result of image reconstruction using CS method has better MSE and SSIM with the value of 0.001 and 0.837, respectively, for smaller image pixel, while the result of using FBP method has SSIM value of 0.901.
Analysis of Voltage Dip Source Location Methods

The voltage dip is one of the prominent disturbances in power systems related to power quality. Therefore it is very important to investigate the methods which allow to determine voltage dip direction finder. In this work selected voltage dip source location methods are discussed and investigated. The analysis are performed in Matlab Simulink environment. The methods are tested using different kind of fault and different fault location. The dip direction is indicated using two selected methods based on analysis of energy and impedance variation during the disturbance. The methods are applied for the measurements aggregated in different nodes of power systems, representing supply and customer side respectively. Based on the results of the dip direction achieved by investigated methods a general conclusions are formulated about the correctness, advantages and disadvantages of the discussed methods.
Research on Geomagnetic Waveform Detection and Vehicle Identification Technology

The geomagnetic sensor system needs to meet the low power consumption and high real-time requirements of the single-chip microcomputer, which may cause the vehicle flow detection algorithm to be insensitive to high-frequency geomagnetic signals with small mean value changes. Slow vehicles, end-to-end vehicles and large-scale vehicles are also prone to false detections and other issues. This paper studies the vehicle flow detection method based on waveform, which is to perform real-time filtering on the collected geomagnetic signal waveform, dynamically adjust the threshold, calculate the magnetic field strength and its curve feature points and extract the waveform, and obtain the vehicle to be inspected through multi-intermediate state machine processing. Vehicle speed, inferred vehicle models. This study achieves higher robustness, adaptability, higher accuracy, reliability and redundancy.
Liquid Antennas: Past, Present and Future

The liquid antenna, as a new member of the antenna family, has drawn significant and increasing attention from both academia and industry due to its unique features. In this paper, a comprehensive review on this technology is presented which covers both metallic and non-metallic liquid antennas. Non-metallic liquid antennas are further divided into water-based and non-water-based liquid antennas. We first review and compare different liquid antennas and highlight the major developments in the past. Detailed discussions on state-of-the-art designs and current technical challenges are then presented, and finally the ways forward for the future are suggested. As a special feature, an in-depth review and discussion on materials for liquid antennas are provided which was not well covered in the literature in the past, important properties of selected materials are given in three comparison tables which can serve as antenna material selection references. It is shown that Galinstan is probably the best choice for metallic liquid antennas while ionic liquid materials are the preferred choice for dielectric liquid antennas. The challenges of making the liquid antenna for real-world applications are identified and discussed. It is believed that a liquid antenna implemented in radio systems is probably just around the corner.
Analyzing Eye-movements of Drivers with Different Experiences When Making a Turn

The driver’s driving experience is one of the important factors affecting his or her behaviors. Prior studies have noted the effect of driving experiences on drivers’ eye-movements when right-turning. However, related studies usually focused on the accident scenarios, for drivers’ eye-movements on daily driving when facing right-turn, the effects of drivers’ experience remain unknown. Therefore, according to design and apply a set of experiments, this paper focused on the analysis of driver’s eye-movements during the daily right-turn task to compare the differences between Experienced and Novice drivers. A total of 10 drivers were invited and be classified into two groups (Experienced and Novice) to participate in the experiments. All of the drivers are driving on the right-hand side of the road, and the steering wheel is on the left side of the vehicle. The aimed data were collected by a set of glasses type eye-tracker and be further classified into four driving vision-based AOI (Areas of Interest). The results of Mann-Whitney U-tests showed that Novice drivers have a disordered line of sight and tend to spend more attention on their right view and switch their line of sight back and forth between the AOIs. Moreover, Experienced drivers more tend to keep their view directly in front of their heads instead of using the peripheral vision. The results of this study may provide guidelines to prevent accidents in Advanced Driver Assistance Systems (ADAS) and offers useful insights for the training of new drivers.
Evaluation of Tools and Extension for Fake News Detection

Exposing Fake news is required in today's digital era. In this paper, we discussed several ways to detect the misleading content which the general public can follow. We also provide a detailed discussion of existing tools and extension which are already available for fake news detection. We present several systems designed by researchers to fight against misinformation. Several Fact-checking websites are discussed here to help social media users verify the information present in Social-media. The public should access these tools to determine the fabricated content. This paper will help the general public to know the basic techniques for fake news identification. We ran LSTM and BI-LSTM Classifier on existing Kaggle dataset and achieved 91.51% accuracy using Bi-LSTM classifier.
Mushroom Detection and Positioning Method Based on Neural Network

In order to realize the mechanized mushroom sorting process, a detection method based on the YOLO algorithm to detect the mushrooms on the conveyor belt in real time is proposed, and then the Kalman filter is used to track the position of the mushrooms at each moment, and the mushrooms are obtained while detecting and tracking the mushrooms. The pixel coordinates of the center can be converted to obtain the world coordinates of the mushrooms according to the projection imaging principle of the monocular camera. Finally, the long-short-term memory (LSTM) network is used to predict the position of the mushrooms that may be outside the camera view. Experimental results show that this system has the advantages of good real-time performance, high positioning accuracy, and good prediction results, and can realize real-time detection and positioning of mushrooms.
Nano Power CMOS Current and Voltage Reference with Subthreshold Condition for RF-Powered systems

This article shows a complete CMOS Voltage Reference ${\mathrm {(V_{REF})}}$ centered on a topology that is self-biasing topology, storing silicon area and providing small current consumption. Temperature adjustment or compensation is accomplished through a technique of settling the transistors in subthreshold and triode(linear) region and also by appropriate setting of active load.The power supply range through which the circuit operates properly is from 600 mV to 650 mV, provides a reference voltage (VREF) of about 320 mV to 350 mV alongwith a temperature, which ranges in between -30°C and 30°C and also a normal range of temperature coefficient having value 100 ppm$/^{\circ}$C and the complete consumption of current is under 20 nA. A complete layout for the proposed circuit is also presented in this article. This efficiency leaves the voltage reference suggested for RF-powered application very appropriate.
Long-Term Characterization of a New Wide-Angle Micromirror With PZT Actuation and PZR Sensing

This work presents a long-term characterization of a newly designed microelectromechanical-system (MEMS) micromirror capable of achieving a field-of-view (FOV) of almost 94°. The process used to fabricate the device allows to combine piezoelectric (PZT) actuation and piezoresistive (PZR) sensing of the tilt angle, enabling testing under closed loop control. Consistently with the adopted design guidelines, which considered fatigue limits on the silicon springs, the tested devices are able to withstand up to 3.6 billion continuous operating cycles in an uncontrolled laboratory environment when operated in resonant mode at 500 Hz. [2020-0366]
Particle Swarm Optimization based UAV for Disaster management

In the present age of changing ecological balance due to rampant human intervention, the need for the technology which can assist humans during the natural disaster is increasing. The swarm optimization techniques have proved their significance in different fields to achieve desired results[1] [2]. Here we are trying to capitalize on the same techniques with integration of other techniques like face detection along with the object tracking algorithms to achieve a desired UAV which can aid humans during natural disasters where humans can’t reach out as promptly as these technologies can. Moreover the added advantage with swarm technology is that even if some of the UAVs fails ,the other UAVs are not affected and are able to execute the rescue work. In sense the efficacy of the entire rescue operation is not hampered.
A 4.94 ~ 5.35 GHz, 3.93 mW, 4-bit Digitally Controlled Bandpass Filter for High Speed WLAN Applications

This paper comprises a 4.94 to 5. 35 GHz digitally tuned bandpass filter based on 4-bit scheme which outputs 16 different frequencies for the corresponding bit combinations. Active inductor is employed considering several effective utilization such as area consumption and inductive tunability. Array of MOS capacitor is employed to tune inductance, finally, the center frequency. Simulated in $90 nm$ CMOS, the forward gain (S21) changes from $8.86 \sim 17.76 dB$ within the tuning range while in case of return loss $(S11)$ it is $-21.43 \sim-12.23 dB$. The DC power consumption is always kept at $3.93 mW$ and the noise Figure alters from $18.86 dB \sim 19.48$ dB. Process corner analysis, temperature sweep analysis, and Monte Carlo simulation is performed to illustrate the viability of proposed design. The compact layout shows that the BPF occupies an area of $826 \mu m^{2}$. Finally, a fair comparison has been performed with respect to other published works based on the fundamental performance parameters. The frequency range includes 5 GHz frequency spectrum which is highly preferable for today’s wireless LAN applications.
A Review of Physics Simulators for Robotic Applications

The use of simulators in robotics research is widespread, underpinning the majority of recent advances in the field. There are now more options available to researchers than ever before, however navigating through the plethora of choices in search of the right simulator is often non-trivial. Depending on the field of research and the scenario to be simulated there will often be a range of suitable physics simulators from which it is difficult to ascertain the most relevant one. We have compiled a broad review of physics simulators for use within the major fields of robotics research. More specifically, we navigate through key sub-domains and discuss the features, benefits, applications and use-cases of the different simulators categorised by the respective research communities. Our review provides an extensive index of the leading physics simulators applicable to robotics researchers and aims to assist them in choosing the best simulator for their use case.
Digital GoB-based Beamforming for 5G Communication Systems

5G is the next mobile generation and it is expected to bring massive changes in our society. Various technologies are being studied to be used with the future communication systems, two of them being the use of massive MIMO with beamforming techniques. Particularly, GoB beamforming is a digital beamforming method that has been investigated to be used with 5G systems. This paper evaluates the performance of a 5G communication system that makes use of massive MIMO embedded with GoB beamforming, in terms of BER and throughput.
Coordination Approach to Mitigate Composition Attack

Data anonymization is one of the primary techniques, which is used in privacy preserving data publishing. Numerous methods have been proposed to anonymize data sets, that are used by different organizations to publish their data sets independently. However, in actuality, a data set is infrequently isolated, and data sets published by multiple organizations may obtain a record of the same person. An individually published data set may have a small privacy risk. However, the combination of two published data sets may breach individuals’ privacy, who are common in both data sets by composition attack. A few researches have been carried out to prevent it without considering coordination among multiple organizations before data publishing. Though coordination is an excellent way to avoid such problems, organizations do not want to share their customer data sets with others. In this work, we introduce a coordination method where complete data sharing is not necessary. This will effectively overcome privacy concerns. It has been shown experimentally that the proposed technique anonymizes data set to satisfy the privacy requirement and preserves high data utility.
Proof of Beat Entrainment and its Characteristics

Beat entrainment, an active synchronization between endogenous neural oscillations and rhythm stimuli, is a key element in various research fields, including attention selection, sensorimotor synchronization, speech and music. Various studies are under way on the beat entrainment, but it is still being discussed whether this brain response only reflects regular repetition of the events, or it includes entrained oscillatory activities. Nor is the mechanism and functional role of the beat entrainment known. The purpose of our study is to present evidence that the beat oscillation is inherently formed and to propose the functions and mechanisms of beat entrainment. The experiment was conducted in a sequence with 700ms of regular sound stimulus that had an amplitude cycle of ‘strong, weak, weak’, containing some irregularly missing stimuli. Brain signal was measured using electrocorticography for epilepsy disease patients. As a result, significant neural oscillations were formed compared to the pre-stimulus section. Oscillations consist of 1.4286Hz oscillation dependent on all stimuli, as well as 0.4762Hz oscillation dependent only on strong stimuli. This demonstrate that the beat is characterized by its formation with weighting certain rhythm. The latencies of the response in each stimulus was identified differently. this can be evidence that beat entrainment is a procedure of endogenous brain response. And we suggest beat entrainment mechanism used to readjustment of beat entrainment and how brain percept different rhythm differently.
Analysis the Influence of Environmental Noise to Compressed Sensing Signal Reconstruction in Unmanned Offshore Platform

The data storage space and storage capacity of unmanned offshore platform are limited. Compressed Sensing (CS) technology can fundamentally solve this problem. However another important factor of unmanned platforms is the requirement for low emission power. From the effects of marine environment noise on the compressed sensing signal reconstruction, this thesis calculates the Signal to Noise Ratio (SNR)under different reconstruction error and different modulation method. It is concluded that, if the reconstruction error is not higher than ,the SNR is not less than 2dB when 8FSK modulation mode is used. This conclusion provides a basis for determining the transmission power of the signal source in practice.
Intuitive Visual Imagery Decoding for Drone Swarm Formation Control from EEG Signals

Many methods, such as a joystic and a head mounted display, are used to control unmanned aerial vehicles like drones, but in recent years, many studies are being conducted on electroencephalogram (EEG)-based brain-computer interface (BCI) control methods. The non-invasive BCI does not require surgery and has an excellent temporal resolution, which is advantageous for continuously understanding the intention of the user. However, when performing stimuli-based paradigms among several paradigms, there is a disadvantage in that users must constantly concentrate on watching external stimuli displayed on the monitor. Therefore, it is necessary to use an intuitive paradigm. Nevertheless, the intuitive paradigm has rarely been used to control the formation of swarm drones until now. The EEG-based brain-computer interface using intuitive paradigms includes motor imagery, visual imagery, and imagined speech. Thus, by comparing and analyzing four kinds of drone swarm formation control using visual imagery paradigm, we try to find a more efficient method for flight control of swarm drones. As a result, we found that the average of the 4-class classification performance was 76.4% and the highest accuracy was 83% between 8 and 13 Hz. From now on, this study will be a cornerstone for domestic and overseas related research.
Flexible Views without Being Held Back by Fixed Ideas is the Mother of Invention

Flexible Views are most important way of thinking. If you do not forget it, you can challenge anything developing not only technologies but also societies at Antenna and Propagation. Why do you need to think about the sex and age of people who invented excellent technologiesƒ Quality of technologies is an only thing you need to pay attention. In this paper, I would like to discuss the importance of the flexible view based on my experiences as a woman in engineering and my knowledge about design of planar antenna at millimeter waves.
College Students' Use of Smart Teaching Tools in China: Extending Unified Theory of Acceptance and Use of Technology 2 with Learning Value

The combination of smart teaching tools and traditional calssroom is a new model for teaching in major universities. This study took the Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) as a reference and developed an extended model by transforming the ‘price value’ into ‘learning value’, since smart teaching tools is a free application, with no economic cost to college students but with learning value. The model put forward by this paper also included the interrelations between the explanatory variables postulated in the UTAUT2, an issue that was not considered in its original formulation. A quantitative research approach was employed by utilizing a questionnaire to collect data from college students who were users of smart teaching tools. The results suggested the significant influence of performance expectancy, facilitating conditions, learning value and habit on college students' intention towards smart teaching tools and also confirmed the influence of behavioral intention on use behavior. Additionally, the results supported the existence of interrelations between the explanatory variables. The results of the study are instructive for teachers to effectively guide students to use smart teaching tools and can improve teaching effect better.
Research on Network Malicious Behavior Analysis Based on Deep Learning

With the rapid development of the Internet, the methods of Cyber Attack have become more complex and the damage to the world has become increasingly greater. Therefore, timely detection of malicious behavior on the Internet has become an important security issue today. This paper proposes an Intrusion Detection System based on deep learning, applies Bidirectional Long Short-Term Memory architecture to the system, and uses the UNSW-NB15 data set for training and testing. Experimental tests show that the Intrusion Detection System can effectively detect the known or unknown malicious behavior of the network under the current network environment.
Compact Dual-Strip Coupled Dual-Patch Antenna for Millimeter-Wave AiP Applications

A millimeter-wave (mm-wave) dual-strip coupled dual-patch antenna is proposed, which is achieved by high density interconnect antenna-in-package process. The dual patches and dual strips are closely placed on the same layer and produce two resonances with broadside radiation and x-direction polarization. Compared with the state-of-the-art single-layer patch antennas, the proposed antenna can achieve both compact radiator size and wide bandwidth, which is useful to form mm-wave array. Furthermore, the antenna radiator and the feedline are separated by the antenna ground to decrease the interaction from radio frequency components in the active system. Characteristic mode analysis method is utilized to analyze the antenna element to reveal the modal behavior of the proposed antenna. For demonstration, a prototype of 2 × 4 array is fabricated, which has the antenna element size of 0.36 × 0.37 × 0.05 λ03 (λ0 is the operating wavelength at 26 GHz in free space), the 10 dB impedance matching bandwidth of 20.6% (22.7–27.9 GHz), and the peak gain of 14.2 dBi.
Satellite Attitude Tracking Decision Method based on Deep Deterministic Policy Gradient for Moving Target Observation

Space-based observation for moving targets has the advantages of global area, which can effectively compensate for the ground-based and air-based observation methods limited by land and airspace. However, the unknown and variability of target motion makes it difficult for satellites to make decisions and adjust their attitude in real-time to track the target. Aiming at this problem, an attitude tracking decision method based on deep deterministic policy gradient is proposed in this paper. Considering the control torque saturation and space pointing constraint, a satellite attitude tracking decision model is established and the optimization objective is designed. Then, the deep deterministic policy gradient method is used to solve this optimization problem, and the action value network and policy network is trained by transfer learning to accelerate the training process of whole model. Finally, simulation results show that the proposed method is capable of tracking the moving target autonomously and effectively.
Copper oxide field-effect transistor fabricated by sol-gel method

Metal oxides are a group of materials which are in consideration for the implementation in specific electronic devices. Many elements that belong in this group of materials, show semiconductor like behaviour, and are thought to be an adequate successor for standard amorphous silicon. One group of metal oxides is partly ignored, the copper oxides. These oxides have p-type semiconductor like behaviour. It has been shown that it is possible to fabricate electric devices using these materials, but many describe the preparation of a transistor-based on cuprous oxides. Here we focus on the fabrication of cupric oxide layers using a solution-process technique known as sol-gel and subsequent preparation of field-effect transistor with gold and aluminium contacts.