Miracle-dz/UniFAR-FTUs huggingface dataset:
Multi-Sourced Monitoring Fusion Diagnosis for Rotating Machinery Faults

In this study, a novel fusion diagnosis method for rotating machinery faults is proposed using multi-sourced monitoring data constituted by vibration signals and infrared images. This method consists of multi-sourced monitoring data capturing, data preprocessing and multi-stream convolutional neural network (CNN) based end to end fault diagnosis. As the core of the method, multi-stream CNN integrates feature learning, feature fusion and fault classification into one body, which has two advantages. (1) One is that it can directly process raw multi-sourced monitoring data and learn fault-sensitive features even if the data have completely different formats, which free us from the burdensome signal/image processing and artificial feature extraction. (2) The other is that it can adaptively fuse multi-sourced monitoring data in the feature level, which is propitious to remove the redundant features and preserve complementary information. The proposed method is validated by experimental studies on a rotor test bed, and the results confirm that the proposed method is more effective than other methods
Ultrasound-Enhanced Delivery of an Aptamer-Doxorubicin Conjugate to Breast Cancer Cells

When treating cancer with chemotherapy, serious side effects are caused by the inability of the drug to be solely delivered to the tumor. As a result, a portion of the drug agents is inevitably delivered elsewhere and destroy normal cells. We report the first results on combining ultrasound with an aptamer–doxorubicin conjugate to treat cancer cells. Enhancement of therapeutic effects combined with a reduction in side effects indicates the potential of this approach. Although many studies have noted that ultrasound can enhance drug delivery, ultrasound has not addressed the goal of reducing side effects. To both reduce side effects and enhance the efficiency of killing cancer cells, this study mainly uses a specially targeted aptamer conjugated to the anticancer drug doxorubicin (DOX), which was applied in combination with ultrasound for cancer treatment. We also compared the results between cancer and normal cell lines to explore the targeting effect of the aptamer. Both breast cancer cells (MCF-7) and breast cells (MCF-10A) were used for the experiments. The results show that the aptamer conjugated to an anticancer drug can be used to target cancer cells and ultrasound can enhance drug delivery. This method can significantly reduce the side effects of the anticancer drug and achieve favorable therapeutic effects.
Smart Parking System for Monitoring Cars and Wrong Parking

The parking problems are so many in this time because many people own cars are increasing and Lack of space, there are many solutions for some issues, but some of these solutions still have issues, such as cost it is a big problem and the numbers of sensors in one park. This paper proposes a simple method of smart parking system that monitoring cars and wrong parking. We are sing skills to deal with some small pieces such as Arduino, Ultrasonic sensor, PIR motion sensor and Nexion display to display the results. The primary goal of this paper to solve one of the problems that a lot of people suffered the wrong parking, by making the parking smart and with it we will reach the ideal efficiency without the high cost or many sensors in one park. The smart parking system takes a signal from three Ultrasonic sensors in a Moving Arduino, the Moving Arduino analysis the signal and Convert the signal to code, then send the code by using a wireless radio frequency to the Fixed Arduino. The Fixed Arduino will display it using Nextion display touch screen telling us the results. If any problem on the parking car like wrong park the display will show us a green car and red line, a vacant park will be a black car and correctly park will be a green car. After making the prototype and testing the model we find that the result is 95% correctly with 5% mistake because the model and the objectives was small in our point of view.
Exploring gene expression levels in Pancreatic Ductal Adenocarcinoma (PDAC) using RNA-Seq data

In recent years, genome research has been revolutionized because of next-generation sequencing (NGS) technologies, and especially, RNA Sequencing has become an extensively used technology for profiling gene expression. Most commonly the objective of RNA-Seq profiling is the identification of up- regulated as well as down-regulated genes or analysis of molecular pathways that are differentially expressed (DE) between two or more biological samples. RNA Sequencing has emerged as an effective alternative of microarrays. Pancreatic Ductal Adenocarcinoma (PDAC) is the most common type of lethal pancreatic cancer. Particularly, in PDAC there is a great intra tumor distinction in the degree of differentiation, due to this there is a distinct sensitivity to the treatment of Low- and High- Grade PDAC cells, which is a major reason for the resistance to chemotherapy.
Design of Symlet Wavelet based Illumination Normalization Algorithm and its Comparison with other Relevant Algorithms

Image processing techniques may be used for enhancing edges, boundaries, contrast, etc. of an image through accentuation or sharpening process. Many algorithms are available to normalize illumination impact for different image processing applications. In this contribution, we conduct a comparative study on four different types of illumination normalization algorithms. They are based on discrete wavelet, logarithmic total variation with primal dual algorithm, histogram equalization technique, and morphological operation. In order to obtain better enhancement of image by using discrete wavelet based illumination normalization algorithm, selection of the particular wavelet is very important. Use of histogram equalization function in image preprocessing with other algorithms enhances the overall performance of face detection. This paper illustrates performance of different illumination normalization algorithms in Viola-Jones face detection system based on the extended Yale B database.
A Wearable Wrist-Band with Compressive Sensing based Ultra-Low Power Photoplethysmography Readout Circuit

In this paper, we present our efforts towards packaging of a novel compressive sampling (CS) based ultra-low power photoplethysmography (PPG) application-specific integrated circuit (ASIC) into a wearable form factor. The system comprises of a custom PPG analog front-end circuit, integrated with a digital back-end to enable CS, and a commercial off-the-shelf (COTS) system-on-chip (SoC) for Bluetooth Low Energy (BLE) based wireless data transfer. The ASIC consumes $172 [\pmb \mu \mathrm{W}$ power to extract heart rate from the sparse PPG signal where the whole system consumes 1.66 mW power for continuous streaming of heart rate data over the COTS BLE radio. This work presents the first ever demonstration of a CS based PPG ASIC in wrist-band form factors and paves our way towards deploying and evaluating this custom PPG ASIC in future clinical studies. The modular architecture of the wristband platform allows for incorporation of other sensors for future correlated sensing studies between health and environment.
Delayed Output Feedback Control for Gait Assistance and Resistance Using a Robotic Exoskeleton

In this study, we propose an interaction control framework for gait assistance and resistance using a robotic exoskeleton. We define a smoothed state variable that represents joint angle movements while walking. Furthermore, a self-feedback controller is designed with the delayed output state. By applying an appropriate time-delay and positive or negative feedback gain to the state variable, we can generate assistive or resistive torque stably without any gait phase or environment recognition. The time-delayed self-feedback controller reflects the movement of the wearer's joints at every moment of control, thereby stably coping with sudden task transitions (e.g., walk–stop–walk, forward–backward walking) as well as walking speed or environment changes. Case studies involved gait assistance with a knee exoskeleton and gait assistance and resistance with a hip exoskeleton. We performed various preliminary tests including metabolic energy measurements and a comparison of the positive or negative power of the generated torque profiles. The results show the flexibility and effectiveness of the proposed interaction control method for gait assistive or resistive training.
Cooperative Relaying Network Under SWIPT MIMO System

Energy harvesting (EH) using simultaneous wireless information and power transfer (SWIPT) is an attractive solution in the context of enhancing the battery life of wireless devices for entirely reliable communication systems. Strong signal power can increase the power transfer. However, it also creates more interference in transmitting information, causing the realization of the SWIPT as a challenging problem. In this paper, SWIPT with multi-input-multi-output (MIMO) is considered for two users based on the precoding design. The source node (SN) will send the information and energy concurrently to the relay node (RN) in the first time phase within the SWIPT framework. Then the RN will reassemble the received signal and self-signal based on the decode and forward (DF) relaying protocol in the second time phase. Our target is to increase the EH at the RN under the data rate constraint of the SN and to maximize the data rate and downlink signal-to-interference-plus-noise-ratio (SINR) of the secondary user under the conditions to satisfy the quality of service (QoS) of the first user. Semidefinite relaxation (SDR) and Charnes-cooper transformation techniques are used to solve the nonconvex optimization problem. To support both the optimization problems CVX is premeditated, which is an efficient tool to solve convex and semidefinite programming (SDP) problems.
Using the Surface Impedance Model to Analyze Plasmonic Modes of a Circular Single Wire at Terahertz and Optical Frequencies

At optical frequencies metals are penetrated by electromagnetic fields and interact with the incident waves like lossy dielectrics with negative index. Therefore, a single metallic wire can make a waveguide to convey the optical waves. This characteristic entails considering the field distributions inside the metallic single wire for correct analysis of plasmonic waves. The surface impedance technique relaxes this condition by modeling the interior fields with surface impedance. The accuracy of this method as well as its domain of validity is studied by comparing it with two other well-known techniques namely analytical solution and the method of moment (MoM). It is shown that the surface impedance model can be accurate at terahertz and infrared frequencies when the field distributions in exterior domain are desired.
Joint Single Relay and Jammer Selection for Physical Layer Security Enhancement in Internet of Things

Internet of Things (IoT) plays a significant role in facilitating our work and making ease the life of human, for the reason that it can connect a lot of embedded devices to deal with many complicated and difficult tasks. However, security of IoT is more concern because every device is connected through internet network, and eavesdroppers are ready to steal or even uncover our private data. Therefore, in this paper, we propose joint single relay and jammer selection (JSRJS) to enhance the physical layer security (PLS) of IoT. Moreover, outage probability (OP) and intercept probability (IP) as well as the system tradeoff performance (STP) for JSRJS under Nakagami-m fading channel are analyzed, and OP、IP as well as STP of JSRJS are all compared with that of the pure single relay selection (SRS), respectively. Simulation results show that the OP of JSRJS is the same as that of SRS, while the IP of JSRJS is always better than that of SRS. In addition, the STP for JSRJS is also more perfect than that of SRS. Besides, as the number of relay nodes increases, the STP of these two approaches both improve notably.
An approach for host based botnet detection system

Most serious occurrence of modern malware is Botnet. Botnet is a rapidly evolving problem that is still not well understood and studied. One of the main goals for modern network security is to create adequate techniques for the detection and eventual termination of Botnet threats. The article presents an approach for implementing a host-based Intrusion Detection System for Botnet attack detection. The approach is based on a variation of a genetic algorithm to detect anomalies in a case of attacks. An implementation of the approach and experimental results are presented.
Gain enhanced mmWave pattern reconfigurable Quasi angled dipole with minimal DNG loading

A pattern reconfigurable uniplanar quasi dipole antenna with a pattern bandwidth of 10% for both the switching states is proposed at 28 GHz. Due to low gain of the proposed element, metamaterial unit cells are integrated onto the radiating plane of the antenna. The unit cell is designed for optimal patterns. Gain enhancement of the proposed pattern reconfigurable quasi angled dipole is achieved in end-fire by minimal loading of the DNG unit cells to improve isolation between the switching states. Two switching states of the antenna is achieved with beams at −24° and +26° and corresponding beamwidths of 38° and 40° with an isolation of more than 10 dB between states. The gains for both the switching states has been increased by an amount upto 3.5 dB within 27–30 GHz band. The proposed antenna with and without integrated metamaterial unit cells is characterized.
Effective Strategies for Improving Mobility Efficiency and Keeping Numerical Superiority in AI Worldcup

AI technologies have been a revolution for computer vision. With AlphaGo winning the Go game against human champion in 2016, people have expected AI technology to be applied to various computer games. In response to these expectations, the first AI world cup competition was held at KAIST last year. Like a real soccer game, five robots in each team play against for scoring higher goals for winning. However, it is not a human-to-computer game like AlphaGo, but some intelligent algorithms plays the game according to the learned strategy. In AI soccer, there are some factors that are slightly different from other soccer games, so effective strategies are needed. In this paper, we propose three effective strategies for AI world cup competition; effective role-change strategy, prediction of ball trajectories, and "deadlock" avoidance. We compared our method with different cases and got the best result against the default rule-based code. We added further works that can improve the performance in the appendix.
SIFT Features and SVM Learning based Sclera Recognition Method with Efficient Sclera Segmentation for Identity Identification

In this work, based on local features of sclera veins, a learning based sclera recognition design is proposed for identity identification. The proposed system is partitioned into two-stage computations. The first stage is the preprocessing process, which includes pupil location, iris segmentation, sclera segmentation, and sclera vein enhancement. At the second stage, by the scale-invariant feature transform (SIFT) technology, the sclera vein features are extracted after image enhancements. By the K-means scheme, the proposed design merges the similar features together to construct a dictionary to describe the interested group features. Next, the sclera images refers the dictionary to get the histogram of group features, and the group features are fed into the support vector machine (SVM) to train an identity classifier. Finally, the sclera recognition tests are evaluated. By the UBIRISv1 dataset, the experimental results show that the recognition accuracy is up to near 100%.
UWB-based Indoor Localization Using Ray-tracing Algorithm

In order to estimate the position of the unmanned aerial vehicle (UAV) in an indoor disaster environment, it is recommended to utilize methods using wireless signals regardless of smoke or dust. Among the wireless signal-based localization methods, UWB-based localization is becoming more popular. In an environment surrounded by walls or pillars, there is a significant difference between UWB signal’s line-of-sight (LOS) measurement and non-line-of-sight (NLOS) measurement. In this paper, we propose the UWB-based localization method that compensates for UWB ranging measurement by predicting NLOS multipath using a ray-tracing algorithm based on given floor plan. Experiments were conducted indoors in the test complex site. The experimental results verifies that the proposed algorithm has improved localization performance compared to the traditional algorithms.
Highly Robust 130 nm SiGe BiCMOS Power Limiter, LNA and Mixer IC for a Wideband 1.5 - 18 GHz MIMO Radar Receiver

This work presents a highly robust 1.5 – 18 GHz high dynamic range power limiter, low noise amplifier (LNA) and mixer IC. A novel power limiter design concept is introduced, which stands out for its low capacitive behavior. The circuit withstands input power levels up to 25 dBm while demonstrating a good noise matching up to 18 GHz. The design approach features a distributed fully differential LNA and a double balanced common base input mixer to enhance the linearity and the wideband performance. The active power limiter, LNA and mixer IC was fabricated on a 130 nm SiGe BiCMOS technology, it draws a total of 62 mA from a 3 V DC power supply and the active IC area is 0.65 mm2.
Synthesis and performance of heterogeneous catalysts for fenton-like and photo-fenton-like reactions at circumneutral ph

Los procesos Fenton y foto-Fenton son procesos de oxidacion avanzada (POA) que se basan en la descomposicion del peroxido de hidrogeno catalizada por sales de hierro (II), produciendo radicales hidroxilo que son altamente oxidantes. El segundo ademas incorpora la irradiacion con luz ultravioleta en el rango A, cosa que permite acelerar el proceso debido a la recuperacion del hierro (II), que durante la reaccion principal pasa a hierro (III). Estos procesos se suelen llevar a cabo a pH acido (pH<3) debido a la baja solubilidad y la poca actividad de las especies de hierro a pH cercanos a la neutralidad. Este trabajo se centra en el estudio y aplicacion de un catalizador heterogeneo de Fe/alginato formado gracias a la propiedad del alginato de formar geles solidos en presencia de cationes di y trivalentes. En este caso, el Fe(III) actuan como enlace entre cadenas de alginato. Inicialmente se estudio el proceso de fabricacion de este catalizador y se propuso un proceso estandar optimizado para su uso aplicado a la reaccion foto-Fenton. Posteriormente se evaluo su aplicacion a la eliminacion del antibiotico sulfametoxazol y a la desinfeccion de bacterias Escherichia Coli. Basandose en los resultados obtenidos se propuso un mecanismo de reaccion que ademas explicaba la inestabilidad observada experimentalmente que producia la liberacion de hierro dependiendo del pH del medio de reaccion, lo que desencadenaba la via de reaccion homogenea. Con la intencion de mejorar la estabilidad del catalizador, se modifico el proceso de sintesis anadiendo una etapa de deshidratacion controlada al final del proceso. Los resultados en su prueba para la reaccion foto-Fenton aplicada a la eliminacion de sulfametoxazol mostraron que el rendimiento no empeoraba pero mejoraba significativamente su estabilidad. Para aumentar su eficiencia se probo incorporar cerio, particulas de hierro monovalente y TiO2. Los resultados mostraron que solo el catalizador modificado con TiO2 mejoraba el rendimiento global de la reaccion. Por ultimo, se probaron otros catalizadores heterogeneos (piedras volcanicas, Fe/Ce/O, Fe/Mn/O, limaduras de hierro) aplicados a la reaccion foto-Fenton. Solo las piedras volcanicas mostraron actividad catalitica y esta, en comparacion con la del catalizador de alginato fue baja.
Damping of inter-area mode oscillations by $\pmb{H}_{\infty}$ Loop shaping technique based UPFC controller

This paper presents a procedure for the robust design of an SDC for a UPFC device for damping inter-area mode oscillations in the large power system. The controller is designed by $\pmb{H}_{\infty}$ loop shaping technique using LMI. The controller is designed for modified New England test system which includes a UPFC. The input signals to the controller are obtained from PMUs located at an important buses of the test system. For deciding the best control signal as input to the controller, residue analysis was carried out. The minimum damping ratio (10%) is ensured with by adding pole placement objective in the controller design. The robustness of the UPFC WADC is accessed via nonlinear time domain simulations for various contingency conditions like line fault, line outage, and load shedding. The performance of the UPFC W ADC is found satisfactory for such contingency conditions.
Developing Soft-Beacon as a Service Based on Online-Offline Positioning

The evolution of technology in recent times has been directed towards greater integration of functions related to a wide range of user needs. In this complex environment, access to accurate and up-to-date data is of paramount importance for successful completion of various tasks. As the networks evolve to the Internet of Things (IoT) level, data is being collected directly by various sensors from a wide variety of locations. This triggers additional complexity in terms of initializing, managing and maintaining a large number of sensors, necessitating a large and coordinated effort that could be costly for some organizations. In this work, we present an alternative method for implementation of sensing technology that can be described as Soft-Beacon-as-a-Service, which eliminates the need to use physical devices for this purpose. Instead, this method relies on the analysis of online and offline maps to monitor open spaces, while IMU units and angular movement and distance calculations are used to gather accurate location data about indoor environments. The development of this technique was primarily intended to benefit the scientific and business organizations by providing a simple and inexpensive way to acquire and analyze data based on the activity of this beacon.
Triode-mode Envelope Detectors for Near Zero Power Wake-up Receivers

This work presents an envelope detector topology based upon triode mode transistors operating as a chain of charge pumps. This detector offers superior tunability, performance, and robustness over the Dickson topology. This work utilizes a direct gate bias applied to complementary devices to form a single detector stage. Application of the RF signal directly onto the transistor source node allows for an independent gate bias. The source only injection reduces the total input capacitance of the detector device thereby reducing total input capacitance. This direct gate bias allows strong control over the device channel impedance (RD) which directly modulates the detector input impedance, output noise level and charge time.
Miniaturized Broadband Slot-Coupled Antenna With Metamaterial Loading

A metamaterial-based broadband and high gain antenna is proposed and analysed in this paper. The proposed antenna is mainly made up of a 4×4 mushroom-cells array. We use a microstrip line through a rectangular slot cut on the ground plane to feed the antenna. Then, we use the transmission-line model to explain the resonant principle of the proposed antenna. With the parameters optimization, the dielectric-filled mushroom antenna is with a ground plane of 60×60mm and a low profile of 0. 05λ0 (λ0 is the operating wavelength in free space). The simulated impedance bandwidth of the proposed antenna is 30.2% (4.33-5.88 GHz). Moreover, the antenna can achieve a high gain variation (7.1-9.8 dBi) and good cross-polarization levels.