Miracle-dz/UniFAR-FTUs huggingface dataset:
Priority Based Minimum Delay Algorithm for Channel Allocation in MIMO-OFDM System

Improving the data speed in the wireless communication is a great challenge on nowadays, because the bandwidth available is limited to a particular frequency. But the number of network users is drastically increased due to digital modern world with smart applications like internet television, high definition video conferencing, online gaming applications and many applications thusly. Where this type of problems cannot be solved by physical change in the network, but technically change the way of communication will improve in the better data quality network. This can be achieved in many ways and in this article; we tried the minimum delay algorithm for the channel allocation in network, while considering the factors like signal to noise ratio (SNR), multipath delay, mean square error (MSE) and many are the delay making things, it is due to network structure. These factors can be reduced by reconstructing the network to our ideal model, but practically it's very complex and difficult. We concentrate on the channel allocation technique can be slightly modified according to our network, delay may be minimized and speed of the network will be fortified. In this thesis, efficient priority based dynamic scheduling algorithm [9] was slightly modified for specified network (WLAN) and simulation was done with MIMO-OFDM system which results in improvement of >10% and results is compared to existing algorithm.
A Prototype of Newly Dynamic Underwater Vehicle Using Fuzzy PID Control

For the objective of low-cost underwater observation, a newly dynamic underwater vehicle (NDUV) is presented. The design of this underwater vehicle is referred to the structure of unmanned aerial vehicle (UAV). NDUV is driven by four propellers which are deployed upside down. The dynamic model is analyzed elementarily and a fuzzy proportional-integralderivative (PID) controller is proposed to control the diving depth and attitude of the vehicle. Then the computer simulation and underwater experiment are carried out respectively. It shows that NDUV is applicable in underwater observation because of its perfect underwater dynamic ability. The simulation results and underwater experiments demonstrate that the proposed fuzzy PID controller surpasses conventional PID one for NDUV in response speed and stability.
Remotely Accessible Open Test Platform for CPS Transportation and CAV Research

This paper presents the work in progress for the development of the first known remotely accessible open research platform for indoor experimentation in cyber-physical system (CPS) unmanned systems and transportation research. This portion of the work focuses on the establishment of a multi-robot based platform to address preliminary experimentation needs for Connected and Autonomous Vehicle (CAV) research under different scenarios. This testbed, composed of Create platforms at this stage, ultimately aims to address the need for a realistic validation of CAV strategies for maximum traffic throughput and safety under different road, traffic, and environmental conditions as well as different human or autonomous driving behaviors in urban and highway traffic, prior to outdoor experiments. Different from other existing examples of such indoor systems, the individual platforms are equipped with autonomous capabilities that could be used to reflect different driver/autonomous vehicle behaviors, when needed. Also a decentralized control architecture is adopted to better reflect a realistic traffic operation under different static and dynamic conditions of urban and highway traffic, i.e. work zones etc. In that sense, this testbed could also accommodate research for individual autonomous and semi-autonomous vehicles. The developed system is tested under different CAV scenarios, and results are provided that demonstrate the benefits of the Cooperative Adaptive Cruise Control (CACC) strategy.
Design of Adaptive SMC for EOD Robotics Manipulator Arm

This paper addresses the use of robust control technique ASMC for nonlinear multiple input multiple output RRRP manipulator arm precisely to be used for EOD robots in the presence of parametric uncertainties and external disturbances. In the proposed scheme for control law, model parameters are assumed unknown and are estimated via adaptive laws. Stability of the proposed controller is proved via Lyapunov theory and tracking of the desired path is guaranteed. Advantage of ASMC over other techniques is, the availability of a priori information about the upper bounds of the uncertainties are not required. Extensive simulations are carried out to show the effectiveness of the proposed controller compared to standard SMC.
The IEC 61850 Sampled Measured Values Protocol: Analysis, Threat Identification, and Feasibility of Using NN Forecasters to Detect Spoofed Packets

The operation of the smart grid is anticipated to rely profoundly on distributed microprocessor-based control. Therefore, interoperability standards are needed to address the heterogeneous nature of the smart grid data. Since the IEC 61850 emerged as a wide-spread interoperability standard widely accepted by the industry, the Sampled Measured Values method has been used to communicate digitized voltage and current measurements. Realizing that current and voltage measurements (i.e., feedback measurements) are necessary for reliable and secure noperation of the power grid, firstly, this manuscript provides a detailed analysis of the Sampled Measured Values protocol emphasizing its advantages, then, it identifies vulnerabilities in this protocol and explains the cyber threats associated to these vulnerabilities. Secondly, current efforts to mitigate these vulnerabilities are outlined and the feasibility of using neural network forecasters to detect spoofed sampled values is investigated. It was shown that although such forecasters have high spoofed data detection accuracy, they are prone to the accumulation of forecasting error. Accordingly, this paper also proposes an algorithm to detect the accumulation of the forecasting error based on lightweight statistical indicators. The effectiveness of the proposed methods is experimentally verified in a laboratory-scale smart grid testbed.
Quantitative Evaluation in Security Assurance

Quantitative evaluation of system components, security assurance cases and system architecture are independently developed by using traditional approaches. This paper proposes a new approach which is possible to develop quantitative evaluation, security assurance and system architecture in an integrated way by using ArchiMate. This method can reduce the cognitive and operational gaps caused by operating and understanding different diagrams. The effectiveness of this method is also proved by comparative experiments.
A Study on Collaborative Filtering Recommendation Algorithms

Recommendation system has proved to be an effective tool to solve the problem of information overload. In particular, collaborative filtering (CF) is considered to be the most popular and widely implemented technique for recommendation systems. In this paper, the conventional CF algorithms are first introduced in terms of basic concepts, principles, and evaluation indicators, and the issues related to data sparsity, scalability, and cold start are analyzed. Then the available findings and solutions of these issues are summarized. Finally, the research hotspots of CF recommendation algorithms in interpretability, data privacy, recommendation based on deep learning, and combination with cloud computing big data are put forward. This paper presents a complete framework of CF knowledge, which will clarify the research context of CF and provide reference for follow-up studies. This work will be of certain significance in advancing the progress of personalized information services.
Protecting Hidden Location Visit Privacy with High Trajectory Data Utility

With the spread of social network applications with check-in service, people's trajectories are continuously recorded. The trajectory data are often published for personalized recommendations and activity mining. However, publishing trajectory data makes users' hidden location visits vulnerable to inference attacks. These hidden location visits could be considered as leaked, if an adversary can infer them with a high confidence. In this paper, we study the problem of protecting hidden location visits in the publication of trajectory data, assuming an adversary can do inference attacks on trajectory data. We propose a hidden location visit privacy protection algorithm employing location replacement and location suppression, to protect hidden location visits against inference attacks. We also design a number of techniques to make the anonymized trajectory data match users' behavior patterns. The experimental results show that our algorithms can efficiently prevent inference attacks on real datasets while preserving high trajectory data utility.
A Frame Prioritization Based on Classified Contentions in Multi-hop Wireless Ad hoc Networks

Since wireless signal is attenuated with distance, the spatial location of transmission pairs may have a seriously impact on the performance of contentions based medium access control (MAC) protocol. In this paper, we mainly consider to classify the contentions among wireless stations based on their spatial locations and propose a novel frame prioritization based on classified contentions scheme. In the proposed scheme, we define a transmission opportunity (TOP) for each transmission pair, which is based on the signal quality and withstanding ability against interference between the transmission pair. With the defined TOP, each transmission pair is classified in participating in contentions with other wireless stations. We demonstrate that the proposed scheme outperforms the IEEE 802.11 distributed control function (DCF) scheme by approximately 20% for 20 transmission flows in terms of aggregate throughput, average delay and average frame collisions probability.
A DC-Link Voltage Ripple Modeling and Suppression Circuit Design for Load Compensator

A DC-link voltage ripple model of Load Compensator(LC) is built according to the instantaneous power balance theory, and the cause of DC-link voltage ripple is analyzed, and it is found that DC-link ripple will seriously affect the LC compensation performance. Based on this, a DC-link voltage ripple suppression circuit(RSC) is designed. The additional RSC can absorb the ripple voltage on the LC DC-link, and the absorbed voltage ripple on the RSC does not affect the output voltage of the LC bridge arm, so the allowable ripple can be greatly increased. Therefore, the value of the DC-link capacitor can be greatly reduced, which improves the compensation performance of LC and improves the overall power density. The results of experiment show the validity of this method.
Research on Nonreconstruction Spectrum Sensing Algorithm Based on Reputation Hierarchy

Cooperative multiple nodes spectrum sensing (CMSS) is an effective algorithm to solve the problem of deep fading and hidden terminal in single node spectrum sensing (SSS). Nonreconstruction cooperative multiple nodes spectrum sensing can reduce the computational complexity of the sampled covariance matrix (SCM) and improve the detection performance by dividing the channel into channel groups to obtain the value of the diagonal of the fused sampled covariance matrix. A two-stage spectrum sensing algorithm based on reputation hierarchy is proposed to solve the problem of spectrum sensing data falsification (SSDF) attack in cooperative multiple nodes spectrum sensing. The sensing data (SD) of the secondary users (SUs) and the sensing data of the honestly secondary user (HSU) are verified, then the reputation is leveled and the weight of the user in the Fusion Center (FC) is updated to reduce the influence of the detection performance degradation caused by the SSDF attack. The simulation results show that based on the nonreconstruction cooperative multiple nodes spectrum sensing algorithm, the two-stage spectrum sensing algorithm based on the reputation hierarchy can improve effectively the detection performance when there is SSDF attack.
Performance analysis for a mixed RF and multihop FSO communication system in 5G C-RAN

In this paper, we investigate the performance of a mixed radio frequency (RF) and multihop free space optical (FSO) system in a fifth-generation cloud radio access network (C-RAN) architecture. To cope with the practical channel characteristics, the RF link is assumed to experience the $ \kappa - \mu $ shadowed fading that has recently been proposed to model the small-scale multipath fading as well as line-of-sight shadowing. For FSO links, we adopt the exponentiated Weibull distribution, which can represent irradiance fluctuations at the finite receiving aperture over a wide range of turbulence conditions. Furthermore, we consider the pointing error between the FSO end devices. We first derive a novel probability density function (PDF) expression for the $ \kappa - \mu $ shadowed fading so that the $ \kappa $, $ m $, and $ \mu $ can be equal to the arbitrary positive real value. Then, we study the outage probability and the average symbol error rate (ASER) of the considered system. Our analysis is based on a decode-and-forward (DF) relaying scheme. We choose M-ary quadrature amplitude modulation (M-QAM) for the RF link and binary pulse position modulation (BPPM) for the FSO links. Finally, to provide more insights, we present the asymptotic approximate expressions in high signal-to-noise ratio regimes. Our research shows that the performance of the mixed RF and multihop FSO system can be improved by the large receiving aperture and the increasing number of hops.
A Method to Determine Wide Bandgap Power Devices Packaging Interconnections

Wide Bandgap (WBG) power devices show very good characteristics for high frequency operation in power converters, leading to a better power integration by reducing size and weight of passive components. Access parasitics such as resistances and inductances related to packaging and interconnections are important parameters to determine in order to better predict high frequency switching of WBG power devices. In order to design a 1 MHz hybrid GaN/SiC power converter, this paper reports on the characterization of packaged power devices such as Gallium Nitride (GaN) transistors and Silicon Carbide (SiC) Schottky diodes using S- parameters in order to extract the device parasitics. The method lays on a calibration procedure carried out using specific test fixtures designed on FR4 Printed Circuit Board (PCB). The proposed method has the objective to be suitable for a wide range of power devices.
Automated Acquisition of Anisotropic Friction

Automated acquisition of friction data is an interesting approach to more successfully bridge the reality gap in simulation than conventional mathematical models. To advance this area of research, we present a novel inexpensive computer vision platform as a solution for collecting and processing friction data, and we make available the open source software and data sets collected with our vision robotic approach. This paper is focused on gathering data on anisotropic static friction behavior as this is ideal for inexpensive vision approach we propose. The data set and experimental setup provide a solid foundation for a wider robotics simulation community to conduct their own experiments.
Towards a Multi-antenna approach for UHF-RFID tag 3D localization with a Synthetic Aperture Radar Method

This paper proposes a multi-antenna approach of a synthetic aperture radar method for 3D UHF-RFID tag localization by exploiting an Unmanned Grounded Vehicle (UGV). The UGV is remote-controlled to move inside a complex indoor environment, and the knowledge of the reader antenna trajectories is achieved with millimeter accuracy through a commercial motion tracking system. By processing the tag backscattered signal phase data collected from two RFID reader antennas, coherent and non-coherent combining processing are performed to improve the estimation of the 3D tag position with respect to the case of a single antenna. Differently from other localization techniques, neither reference tags (anchor tags), nor large phased array antennas are required.
Comparison Between PID and Fuzzy Regulator for Control Evaporator Plants

In this paper, a comparison is made between FID and fuzzy controller. The purpose of the study is to determine when the use of which type of regulation will achieve the best indicators of quality control for the regulation of the evaporator. The regulation of such responsible parameters as levels of concentrated juice in the evaporator's buildings, which directly affect the quality and cost of manufactured products, is carried out. First, a mathematical model was developed in the space of states in the Matlab environment and results were obtained with respect to the variation of the problem relative to the initial conditions and with respect to perturbation. Secondly, a mathematical model with a PID-regulator was developed and transient processes for control circuits in all control channels were obtained. Thirdly, a mathematical model with a fuzzy controller was developed and transient processes for control circuits in all control channels were obtained. When comparing the mathematical model with PID and the fuzzy controller, it was concluded that the use of neuro-fuzzy regulation is more appropriate as it leads to an increase in the qualitative parameters of the process compared with the system with PID regulators.
Uncertainty-Aware Ramachandran Plots

Ramachandran Plots are an important tool for researchers in bio-chemistry to examine the stability of a molecule. In these plots, dihedral (torsion) angles of the protein's backbone are visualized ona plane, where different areas are known to be stable configurations. Unfortunately, the underlying atom positions are affected by uncer-tainty, which is usually captured and expressed using the b-value. For classic Ramachandran Plots, this uncertainty is not propagatedwhen computing the dihedral angles and neglected when visualizinga Ramachandran Plot. To solve this problem, this paper presentsan extended version of the Ramachandran Plot, which allows tocommunicate the uncertainty of atom positions along the compu-tation of dihedral angles and an intuitive visualization. We showthe effectiveness of the presented approach by examining differentRamachandran Plots for molecules and show how the inclusion ofuncertainty helps biochemistry researchers to determine the stabilityof a protein with higher accuracy.
Vulnerability Evaluation of Cyber-physical Power Systems based on Complex Networks Theory

Due to disregard of dynamic characteristics of nodes in cyber-physical power systems, we propose the improved load-capacity model of cyber-physical power systems, additionally considering dynamic exchange of flow on nodes. Further, the vulnerability analysis relying on giant component in cyber-physical power systems has certain limitation in that it neglects change of flows in networks and is unable to describe real-time dynamic characteristics of traffic loads on nodes, thus in this paper we propose loss of traffic loads and strength of traffic loads on nodes to evaluate vulnerability of systems. Through analysis on cyber-physical power systems which are coupled of IEEE 39 bus and BA network, it is found that the vulnerability index of giant component is optimistic, which lacks characteristics of dynamic of traffic loads on nodes, but the ratio between loss of traffic loads and strength of traffic loads on nodes can better describe dynamic characteristics of systems, which can better accord with reality.
A review of sliding mode observers based on equivalent circuit model for battery SoC estimation

Battery technology is a major technical bottleneck with electric vehicles (EVs). It is necessary to perform state of charge (SoC) estimation in order to ensure battery safe usage and reduce its average lifecycle cost. Sliding mode observer (SMO) has been used widely in battery SoC estimation owing to its simplicity and robustness to both parameter variations and external disturbances. The SMO uses a switching function of the model error as feedback to drive estimated states to a hypersurface where there is no difference between measured and estimated output exactly. In this paper, three kinds of SMOs based on equivalent circuit model (ECM) for SoC estimation in the existing literatures are reviewed. Their difference in the structures and principles are discussed in the hope of providing some inspirations to the design of efficient SMO based SoC estimation methods.
Top-down Synthesized CdSe Nanoparticles for Electroanalytical and Labeling Applications

In this work the prospects of analytical application of semiconductor nanocrystals synthesized using laser fragmentation method are discussed. The method of fluorescent CdSe nanoparticles synthesis using fragmentation of its powder suspension in dimethylformamide as well as optical properties of produced nanoparticles are described. The fragmentation method allows simple and efficient production of ultrasmall nanocrystals of high purity with unique properties that give good opportunity for using such structures as light emitting species in electrochemiluminescent analytical techniques and for biological imaging.
A Dual-Band and Dual-Circularly-Polarized Array Antenna with a Single Element

A dual-band and dual-circularly-polarized (CP) array antenna is presented to achieve the wide axial ratio (AR) bandwidths. The TM10 and TM01modes of a dual-fed linearly polarized element are used to obtain the dual-frequency simultaneously. Sequential rotation technique with proper phase arrangement is used to achieve the dual-CP radiations. This antenna can radiate with left hand circular polarization (LHCP) in the lower band and right hand circular polarization (RHCP) in the higher band at the same time. Due to the single element on a single-layer substrate, the array antenna can be fabricated easily with less cost. This antenna has been investigated numerically and experimentally. Simulated results show that the −10-dB return loss bandwidths are 21.0% (8.6-10.6 GHz) and 12.5% (11.2-12.7 GHz) in the lower band centered at 9.5 GHz and higher band centered at 12 GHz, respectively. The 3-dB AR bandwidths in the low- and high-band are 8.4% (8.8-9.6 GHz) and 7.5% (11.8-12.7 GHz) respectively.
Decoupling Spatial Pattern and its Movement Via Complex Factorization Over Orthogonal Filter Pairs

Variations between related images (e.g. due to motions) can caused by different independent factors. A qualified representation can decouple the underlying explanatory factors rather than keeping them mixed. After decoupling, each factor lies in a lower dimension abstract space. Different computer vision tasks can be done in different abstract spaces more efficiently than in the original pixel space. For example, conducting object recognition in appearance space can result in an invariant recognition; estimating object motion in location space yields a result regardless of the object itself. In this paper, we propose an algorithm to decouple object appearance and location to amplitude and phase in static images by using complex factorization over orthogonal filter pairs. In particular, we show that, i) Orthogonal filter pairs can be learned in an unsupervised manner from multiple consecutive frames; ii) Object movement is encoded in the factorized phase gradient between frames over time. As a proof of concept, we present experiments on the application of our framework to the recovery of the optical flow. Here object movement is successfully captured by phase gradient.