Miracle-dz/UniFAR-FTUs huggingface dataset:
A Weighted Gene Co-Expression Network Analysis Based on Iterative Learning

Gene co-expression networks are widely used in field of exploring gene function and describe connections not only between genes in the network, but also between gene and trait of biological significance. As a part of building gene co-expression network, the adjacency function plays an important role in describing the connections between genes, which converts the co-expressive measure of each gene pair to its connective weight. A suitable parameter of adjacency function is determined by a biologically motivated criterion known as the scale-free topology fitting index in the gene co-expression network. In generally, the parameter of adjacency function is selected by manually looking up parameter table that is generated with the R software package WGCNA (Weighted Gene Co-Expression Network Analysis - WGCNA). Therefore, the revised algorithm of selecting parameter of adjacency function is proposed. Iterative learning algorithm is used to automatically find the required parameter of adjacency function and the Mouse module-trait relationships are constructed.
Substrate-Superstrate Leaky-Wave Antenna with Interleaved Metasurfaces for Directivity Improvement

Ahstract — A novel millimeter-wave design of a Fabry-Perot cavity leaky-wave antenna (LWA) is proposed here as a promising alternative to conventional configurations for improving the directivity at broadside of radiating elements. In order to prove our original idea, the radiation features of i) a substrate-superstrate LWA, ii) a grounded dielectric slab with a single homogenized metasurface above it, and iii) this novel layout, consisting of a substrate-superstrate LWA with interleaved metasurfaces, are evaluated through rigorous analytical methods and validated with reliable numerical techniques. It is seen that the presence of the two metasurfaces significantly improves the directivity of the conventional substrate-superstrate LWA and also leads to a quite higher directivity than the LWA with a single metasurface on top.
Demonstration-Guided Pose Planning and Tracking for Multi-Section Continuum Robots Considering Robot Dynamics

Recently, there has been an increased interest in the deployment of continuum robots in unstructured and challenging environments. However, the application of the state-of-the-art motion planning strategies, that have been developed for rigid robots, could be challenging in continuum robots. This, in fact, is due to the compliance that continuum robots possess besides their increased number of degrees of freedom. In this paper, a Demonstration Guided Pose Planning (DGPP) technique is proposed to learn and subsequently plan for spatial point-to-point motions for multi-section continuum robots. Motion demonstrations, including position and orientation, are collected from a human via a flexible input interface that is developed to command the continuum robot intuitively via teleoperation. A dynamic model based on Euler-Lagrange formalism is derived for a two-section continuum robot to be considered while planning for the robot motions. Meanwhile, a Proportional-Derivative (PD) computed torque controller with a Model Reference Adaptive Kinematic Control (MRAKC) scheme are developed to ensure the tracking performance against system uncertainties and disturbances. Also, the system stability analysis based on Lyapunov quadratic equation is proven. Simulation results prove that the proposed DGPP approach, along with the developed control scheme, have the ability to learn, generalize and reproduce spatial motions for a two-section continuum robot while avoiding both static and dynamic obstacles that could exist in the environments.
The Framework of Constructing University Comprehensive Evaluation System Based on Online Comments

Educational evaluation plays an important guiding role in education reform and development. Establishing a scientific and complete comprehensive evaluation system for colleges and universities is an important means to solve the “baton” problem of education evaluation in China at this stage. A large number of comments on university services published on the Internet, which implicated the potential demand of people and the evaluation of universities. Using big data to mine and analyze users’ opinions and deep-seated needs is of great significance for universities to improve service quality and improve people’s satisfaction with education. This paper proposes the idea of constructing a comprehensive evaluation system for universities based on knowledge graph and big data of online comments. First, through the web crawler technology to obtain online comments data from the online communities, forums and socialized Q&A websites and clean the data. Then, the text data is subjected to entity extraction, relationship extraction, and knowledge fusion to construct a domain knowledge graph of the universities. Finally, use the complex network analysis method to determine the comprehensive evaluation system of universities. This evaluation method is not only an important supplement to the existing university evaluation system, but also can provide new ideas for constructing scientific and objective educational evaluation by using new technology.
Trajectory Tracking Control of Hydraulic Rehabilitation Exoskeleton Leg with Output Constraint

This paper addresses the trajectory tracking control of lower limb rehabilitation exoskeleton leg driven by hydraulic actuator with output constraint. A barrier Lyapunov function is utilized to handle the output constraint of the hydraulic actuator. The radial basis functions neural networks are used to approximate the disturbance and unmodeled uncertainties. Under the effect of the designed control scheme, the output constraint problem is well averted, and the involved signals of the rehabilitation exoskeleton are semi globally bounded. The tracking convergence of the closed-loop system is demonstrated by using mathematical method. The performance of the designed controller is illustrated by numerical simulations.
LoRa Wireless Link Performance in Multipath Underground Mines

It has become a challenge to effectively maintain higher levels of safety and productivity in mining operations due to the present-day smart IoT technology advancements in mining equipment and gadgets. Regardless of the complexity of IoT schemes, all the systems rely on one common factor - an effective and reliable transportation mechanism for data and control information from/to the smart devices. Therefore, the communication infrastructure in confined spaces is the most critical element in the smart system operation. This is especially true due to the limitations and complications of physical phenomena affecting the wireless system and networks in the mines and tunnels. Strong multipath nature of the wireless channel affects the smart wireless communication significantly in underground mine. In this paper, we use LoRa technology to provide better connectivity in harsh environment such as in mines. With its long range, deep penetration, and ultralow power consumption and single hop wireless communication technology; LoRa provides reliable connectivity to previously infeasible underground mining environment. This paper presents simulation study that provide LoRa performance in mining area with strong multipath conditions for different spread factors (SF).
90 GHz Micro Laser Sintered Filter: Reproducibility and Quality Assessment

This paper presents reproducibility and quality assessment of two identical 90 GHz micro laser sintered waveguide bandpass filters. Both filters operating at center frequency of 90 GHz, with bandwidth of 10 GHz and return loss of 20 dB. The filters are fabricated by micro laser sintering process which is a metal 3-D printing technique, allowing the components to be fabricated in a single piece with high resolution and good surface quality accurately. This paper shows that micro laser sintering can be used to reproduce high frequency filters repeatedly with almost identical responses. The micro laser sintering process can provide reproducibility for small to medium batch size production of high frequency components. The paper discusses the quality of both filters by comparing the measured results with simulated results and providing the surface roughness measurements. Both filters are tested, and measurement results have excellent agreement with simulated results.
Investigation of Load Frequency Control with Optics Inspired Optimization Algorithm in a Four Area Power System with HVDC Connection Line

It is considerably important that the energy is presented to consumer as quality and confidential in the production of electrical energy. It is expected to continuously track and control the supply and demand relationship between producers and consumers by reliable power system. In this sense, the most significant parameter to be controlled in interconnected systems is the system frequency. The frequency deviation must be kept within certain limits in the power system; this is realized by maintaining the balance of power generation and power consumption. In this study, the effect of High Voltage Direct Current (HVDC) transmission lines parallel to Alternative Current (AC) transmission line is investigated on power system frequency control in the High Voltage Alternating Current (HVAC) transmission line and connected to each other in a power system formed by sub-areas. For that purpose, respectively a multi area power system in accordance with Turkey’s facts were modeled in MATLAB in this study. The effects of adding one and more HVDC transmission lines to this power system on load frequency control were investigated. The examination was fulfilled for three cases. These are the conditions where there is no DC connection, the ideal DC connection and the DC connection with PLL. In this study, the gain of controllers were determined by Optics Inspired Optimization (OIO) method. The determined controller gains were used for the time domain responses in the generated model and also results were analyzed.
A W-Band Stepped Impedance Transformer Transition from SIW to RWG for Thin Single Layer Substrates with Thick Metal Cladding

In this paper, a vertical transition from substrate integrated waveguide (SIW) to rectangular waveguide (RWG) in a single layer thin substrate PCB with thick metal cladding is proposed. A multi section stepped impedance transformer is milled into the thick metal cladding for wideband performance. The advantage of milling the stepped impedance profile directly into the thick metal cladding is that no external mechanical devices with complicated manufacturing processes are needed. This results in a lower overall manufacturing complexity when compared to competitive designs especially when multiple transitions are needed like in MIMO systems. 3D-electromagnetic simulations are used for optimization and compared to measured results to confirm the results and the functionality of the transition. Within the measured frequency range of 75 to 110 GHz, the single transitions measurement results show less than 0.6 dB insertion loss and more than 10 dB return loss.
Experimental Demonstration of a Dielectric Dome Antenna with Reduced Profile and Wide Scanning Capability

A wide scanning dome antenna with reduced profile is presented in this contribution. The minimum height of the dielectric lens is derived from its geometrical configuration and imposed in the design. The antenna is analysed using in-house ray tracing and physical optics tools. Because of the presence of the lens, the phase distribution of the elements is not linear and is derived from the ray distribution over the array using a Zernike polynomial expansion. The maximum scanning angle of the illuminating array is 60° and, due to the combination with the lens, the field of view is enlarged to 70° with similar performance in all planes. A demonstrator of the lens was manufactured and combined with an available phased array working in Ku-band. The active reflection coefficient is not significantly affected by the presence of the lens thanks to the matching layer on both the dielectric surfaces. The measured radiated patterns are in excellent agreement with the theoretical prediction, and they then validate the analysis tools. The active element patterns of the dome antenna are rotationally symmetric, showing how the radiating performance is almost independent on the plane of scanning. Moreover, the gain for scanning wider than 60° is significantly improved compared to the stand-alone array.
A Simple Reference Model Based PID Control for Wafer Scanner Systems

In this work, we propose a new and simple controller design based on internal model principle (IMP) and existing PID, with the implementation on a wafer stage. PID has been well applied to solve control engineering problems owing to its flexibility to handle various control tasks, and the easiness to tune PID gains for a variety of plants. However, PID may fail to achieve satisfactory tracking performance when dealing with a complex control task that is beyond a simple step reference. IMP suggests that a good control response can only be expected when the internal model of the reference is incorporated into the control loop. For a well-tuned PID, however, it is not that straightforward to incorporate the internal model of the reference into the existing PID. In this work, focusing on a real wafer stage, we explore a new control design approach, reference-model (RM)-based PID, to achieve the internal model and meanwhile retain the well-tuned PID. The new controller design for the wafer stage is achieved through several steps. First, the body plots of the experimental setup of wafer stage are acquired and a second-order approximate model is established. Second, a reference model specific in wafer stage is given and its inherent internal model is analyzed. Then, the feedback controller is constructed by concatenating the internal model and an existing PID that has been well tuned. Next, considering the low-frequency characteristic of the reference, the internal model is further modified with a simple high-pass filter such that more of high-frequency components in the tracking error could be suppressed. Finally, in experiments, more accurate tracking performance of the RM-based PID is illustrated by comparing with two classic PIDs with different bandwidths.
On Multivalued Solutions of Equations of One-Dimensional Gas Flow

The article is devoted to global solvability of Cauchy problem for one class of equations of one-dimensional gas flow. Existence and uniqueness of maximal multivalued solutions of Cauchy problem is established. In case of an ordinary differential equation a key property of its solutions with maximal intervals of existence is to tend to the boundary of its domain. A direct analog of this property for the maximal multivalued solutions of the equations of the class under consideration is proved.
Betel Nut Classification Method Based on Transfer Learning

Betel nut is one of the main chewing hobby in the world. The traditional methods of betel nut classification are mostly based on handcrafted features, and the classification stability is poor. To solve this problem and reduce labor costs for manual extraction of image features, this paper applies convolutional neural network to betel nut, and adopts parameter transfer strategy to realize transfer learning. The dataset of betel nut was constructed by shooting different types of betel nut with betel nut grading equipment. Aiming at the problem of insufficient samples, some parameters of AlexNet are transferred and fixed, new fully connected layers are build. Make full use of betel dataset to train and test the network. The experimental results indicate the proposed method is effective and low labor cost.
Multi-Contact Planning on Humans for Physical Assistance by Humanoid

For robots to interact with humans in close proximity safely and efficiently, a specialized method to compute whole-body robot posture and plan contact locations is required. In our work, a humanoid robot is used as a caregiver that is performing a physical assistance task. We propose a method for formulating and initializing a non-linear optimization posture generation problem from an intuitive description of the assistance task and the result of a human point cloud processing. The proposed method allows to plan whole-body posture and contact locations on a task-specific surface of a human body, under robot equilibrium, friction cone, torque/joint limits, collision avoidance, and assistance task inherent constraints. The proposed framework can uniformly handle any arbitrary surface generated from point clouds, for autonomously planing the contact locations and interaction forces on potentially moving, movable, and deformable surfaces, which occur in direct physical human-robot interaction. We conclude the letter with examples of posture generation for physical human-robot interaction scenarios.
Visualization and Collision Risk Assessment of Real Ships in a Mixed-Reality Environment using Live Automatic Identification System (AIS) Data

This paper presents a concept for automated situational awareness using 3-D visualization. The Unity game engine is used for live visualization of real ships operating in a mixed-reality environment. A piloted unmanned surface vehicle (USV) is simulated when operating close to the real ships. The ship positions are obtained by decoding data from the Automatic Identification System (AIS), which are transmitted as VHF signals. After decoding, an extended Kalman filter (EKF) is designed to run at a fixed time step, typically 30-60 Hz, for smooth visualization at 30-60 frames per second (FPS). Since the AIS data are transmitted at asynchronous time samples, the EKF is implemented in discrete time using the predictor-corrector representation (Gelb, 1974) to get evenly-spaced data and to handle loss of data packets. An algorithm for computation of the minimum separation, that is the minimum distance between the USV and the ships, is coded in Unity's native C# scripting language. Finally, the concept of situational awareness and online computation of a ship collision risk index are demonstrated using live AIS data from the Trondheim harbor in Norway.
Improving Term Weighting Schemes for Short Text Classification in Vector Space Model

Short text is one of the predominant forms of communication with unique characteristics such as short length, high sparsity, and lack of shared context and word co-occurrence. These characteristics distinguish short text from general text and make short text classification a challenging task. Term weighting is an important pre-processing step for text classification in the vector space model. In this paper, we propose three modifications to existing state-of-the-art term weighting schemes: ifn-tp-icf, RFR and modOR and a new term weighting scheme: ifn-modRF. We compare the proposed schemes with ten existing unsupervised and supervised schemes using three datasets of informally written short text: a self-labelled dataset of real-world events from Twitter, a Yahoo! questions dataset and a dataset of product reviews. Based on the experimental results using three popular classifiers, we observe that the proposed scheme ifn-modRF achieves the best F1-scores on the Twitter dataset, while the proposed modification modOR is a consistent performer with the best scores in most of the experiments. The proposed modification ifn-tp-icf also outperform the original scheme in most experiments.
Ethnomedicinal plants used to cure diarrhoea and dysentery in Pachalur hills of Dindigul district in Tamil Nadu, Southern India

The people residing in Pachalur hills in Dindigul district of Tamil Nadu mostly depend on the vegetation around them for the prevention as well as the treatment of diseases and ailments. Information on ethnomedicinal uses of plants, their doses and mode of administration have been collected from the local traditional medicine practitioners (Vaithiyar) as well experienced men and women. The paper deals with 54 ethnomedicinal plants of 52 genera belonging to 31 families used by the villagers for diarrhoea and dysentery in Pachalur hills. Most of these plants are commonly available in natural sources and some were obtained from local dealers. Isolation of active principles, pharmacological investigations, and the potent anti–microbial activity should be studied on these medicinally important species. Attention should also be made on proper exploitation and utilization of these medicinal plants.
A new annotated dataset for boat detection and re-identification

Sea surveillance and monitoring is receiving an increasing attention in the last years especially in specific areas and countries, such as the Mediterranean sea. The automatic detection of boats is a strategic activity that can be realized by means of satellite or RGB images. Satellite monitoring requires expensive hardware (Lidar, Landscape, and so on) and high-level efforts and permissions; on the other hand, satellite images do not allow a high level of resolution able to provide information about the number of passengers on the boat, or its name/ID. The use of RGB cameras placed in specific coastal sites allows to realize a low-cost and scalable monitoring system. Convolutional Neural Networks (CNN) are commonly used in application of object detection, classification and tracking. In addition, they are used also for re-identification, mainly applied to people and cars, rarely to boats. The use of neural networks requires a specific training based on labeled datasets. At present there are just a few annotated datasets for boat detection, while nothing is present for boat re-identification. Here we propose a new dataset for boat re-identification; it is composed by annotated images of boats acquired during last summer in the Marine Protected Area (MPA) of Porto Cesareo. In addition, we propose as baseline the results obtained by the application of a Discriminatively Learned CNN for boat reidentification.
V-band Vector-sum Phase Shifter with Frequency Mixing

We developed a V-band vector-sum phase shifter with frequency mixing. The developed phase shifter consists of two VGAs (Variable Gain Amplifiers) deployed in an IF path, a QMIX (Quadrature-Mixer) which combines output signals of the VGAs in a RF path and a PPF (Poly Phase Filter) power divider in a LO path as a 90-deg. divider. The proposed phase shifter controls phase of input IF signal based on amplitude of two IF signals and converts the input IF signal to RF, simultaneously. We implemented the V-band phase shifter using SiGe BiCMOS 0.18um process. The developed phase shifter operated in wide bandwidth from 70 MHz to 1 GHz and achieved average gain of 2.3 dB, phase error of 5.5 deg.rms, and the amplitude error of 0.4 dBrms.