Miracle-dz/UniFAR-FTUs huggingface dataset:
StateFit: A Security Framework for SDN Programmable Data Plane Model

The programmable data plane model of software-defined networks (SDN) continues to gain adoption and support in many enterprise entities such as Google and Barefoot. This leading trend promises to enable flexible mechanisms for handling traffic on SDN switches. In the early stage of its development, few already-in-market proposals exploit the innovative features of a programmable data plane model to provide smart filters on the SDN switches against attack traffic if any. In this work, we therefore propose a security framework, so-called StateFit, which can flexibly filter attack traffic at the SDN programmable switches (data plane). The goal of StateFit is to reduce the latency and the signaling overhead that come along with the centralized architecture of SDN controllers and further provide innovative features for localized security services such as stateful monitoring. The experiment shows that our system is able to not only detect and prevent the attack traffic but also flexibly update the filtering policies and even the whole traffic interpreter onto the connected programmable switches. Following this approach, we believe that the vision of on-demand security services may come true soon.
Synthesis of Carbon-Coated TiO2 by Underwater Discharge With Capillary Carbon Electrode

This paper is focused on carbon coating of anatase type TiO<sub>2</sub> by underwater discharge with a capillary in water carbon electrode. The discharge electrode consists of a graphite electrode covered by an alumina tube for insulation and a ground electrode. The aqueous solution used for discharging is tap water with an electric conductivity of about <inline-formula> <tex-math notation="LaTeX">$120~\mu \text{S}$ </tex-math></inline-formula>/cm. The applied power for TiO<sub>2</sub> carbon coating is about 500 W. As a result of TEM and energy dispersive spectrum measurements, a carbon layer with thickness of several nanometers was measured on the surface of TiO<sub>2</sub>. Raman analysis also confirmed that the layer is either graphite or glassy carbon.
ANN modeling of an industrial gas sensor behavior

In this paper, we propose the modeling of an industrial gas sensor “MQ-9”, where our modeling is based on ANNs “artificial neural networks The gas sensor model, obtained, operated under a dynamic environment and expresses accurately the MQ-9 gas sensor behavior. Accordingly, it takes into account the nonlinearity and the cross sensitivity in gas selectivity, temperature and humidity. This model is implemented into PSPICE “performance simulation program with integrated circuit emphasis” simulator as an electrical circuit in order to prove the similarity of the analytical model output with that of the MQ-9 gas sensor.
Dosimetry Assessment for Human Exposure to Extremely Low Frequency Magnetic Fields in the Electric Vehicles

In this study, the magnetic flux density was measured in the rear seats of ten different electric vehicles. The measurement results were used to evaluate the induced electrical field in adult and infant models. The results demonstrated that the measured fields in the rear seats were far below the reference levels by the International Commission on Non-Ionizing Radiation Protection. The induced E-field strengths in infant were much lower than that of adults due to their smaller physical dimensions.
Ambiguity function analysis of Long Term Evolution transmission for passive radar

Long Term Evolution is the 4th cellular technology and has been proved to be a feasible illuminator of opportunity for passive radar. However, ambiguity function within reasonable observation range needs to be thoroughly reconsidered. The ambiguity function of measured LTE signal shows two type of visible sidepeaks, which coincides with ambiguities of simulated Cell-specific Reference Signal and physical control channels based on energy-dominant component analysis. This paper provides an new insight into LTE's ambiguity function, and intrinsic feature of LTE that leads to ambiguities. We'd like to suppress these ambiguities in the near future.
Research on Smooth Voltage Balance Modulation Strategy in Three Level Neutral Point Clamped Cascade Rectifier

Aiming at the unbalanced DC voltage of multi-module three-level neutral point clamp cascaded rectifier (3LNPC-CR), a smooth voltage balance modulation strategy is proposed in this paper to solve the problem of unbalanced capacitor voltage in modules and unbalanced DC link voltage between modules. On the premise of normal operation, the input level of each module must not change. The voltage balance effect of the universal voltage balance modulation and the smooth voltage balance modulation are compared and calculated. Simulation and experimental results verify the feasibility of this strategy.
Smart Power Management for DC Nanogrid Based Building

Nanogrids is a subset of microgrid which is powering a single building or a house. Low voltage DC distribution within building or house structures is called a DC Nanogrid. The DC Nanogrid consists of power converters like Solar PV Converter, Battery Management system (BMS) and an AC/DC converter which draws powers from the grid when renewable and BMS unable to deliver the load demand. DC Nanogrid is a low voltage DC distribution system suitable for residential applications where we can connect DC electronic loads like BLDC fans, Laptop, LED Lights. For the efficient operation of the DC Nannogrid power management with various modes of control is required based on the energy availability from different powering sources and load demand. Smart power management for buildings based on DC Nanogrid is highlighted in this work.
Signal Encoding and Processing in Continuous Time Using a Cascade of Digital Delays

We consider a digital encoding/processing system in which both the analog-to-digital converter and the digital signal processor are implemented by repeating a single fundamental design unit: the digital delay. Timing becomes an integral part of the resulting signal representation and processing, thereby promising to improve with technology scaling. System properties are studied and design considerations for a potential integrated implementation are discussed. Simulation results confirm the theory.
Experimental Characterization of a Circularly Polarized 1 Bit Unit Cell for Beam Steerable Transmitarrays at Ka-Band

We propose here an experimental characterization procedure applied to a 1 bit reconfigurable transmitarray unit cell working in circular polarization (CP) at Ka-band. The transmission phase of the unit cell is controlled on the receiving side by switching two p-i-n diodes integrated on the radiating element. The CP is generated on the transmitting side with a truncated corner patch antenna. A specific waveguide characterization setup and related procedure have been developed to extract the unit cell S-matrix. The proposed setup includes nonstandard waveguide sections, ad hoc transitions, and an orthomode transducer. The experimental results demonstrate a good agreement with full-wave simulations with a discrepancy of less than 0.1 dB on the measured minimum insertion loss of 1.65 dB at 29 GHz. A 3 dB bandwidth larger than 12% has been measured.
Recursive Matrix Algorithms in Commutative Domain for Cluster with Distributed Memory

We give an overview of the theoretical results for matrix block-recursive algorithms in commutative domains and present the results of experiments that we conducted with new parallel programs based on these algorithms on a supercomputer MVS-10P at the Joint Supercomputer Center of the Russian Academy of Science. To demonstrate a scalability of these programs we measure the running time of the program for a different number of processors and plot the graphs of efficiency factor. Also we present the main application areas in which such parallel algorithms are used. It is concluded that this class of algorithms allows to obtain efficient parallel programs on clusters with distributed memory.
Intelligent Image-based-Visual Servoing for Quadrotor Air Vehicle

Since quadrotors are becoming more popular, several techniques appeared to control robustly the Unmanned Aerial Vehicle. This article proposes an intelligent image-based visual servoing (IBVS) control method for an unmanned aerial vehicle (UAV). This work consists of computing the proportional controller gain by smoothing the error between the desired and actual feature vectors values, as opposed to the classical visual servoing (VS) scheme. The weak handling of this gain, affect the maintaining of tracked features in the area of view. Unlike the classical VS scheme that requires a known value of gain, selected in a heuristic way, which lead the controller to fall in the velocity convergence problem. We adjust an adaptive gain value by the use of a fuzzy logic controller. The proposed controller exploits the error between feature vectors and its derivative as inputs. Furthermore, we design an intelligent based-fuzzy logic method for gain tuning of PD controllers applied for handling the heading and position of the quadrotor. The proposed controllers are applied to the inner and outer loop, offer several advantages in dealing the uncertainty occurred within trajectory tracking control. Various simulations are developed in MATLAB, shows the outperformance of the proposed method against the classical one.
Successive Localization and Beamforming in 5G mmWave MIMO Communication Systems

Beamforming is an attractive technique to improve the system performance for multi-input multi-output (MIMO) communications. Previous works mainly focus on improving the data transmission quality. However, the potential of beamforming for improving the localization quality is not yet fully studied. In this paper, we focus on active beamforming to reduce the user equipment (UE) localization error for millimeter-wave MIMO systems. Such beamforming for localization is of challenge because its optimization cost function (e.g., the localization error bound) also depends on the actual UE location and instantaneous channel states, which are unknown in advance. To address this challenge, a novel successive localization and beamforming (SLAB) scheme is proposed, where the long-term UE location and the instantaneous channel state will be jointly estimated and then the beamforming vector will be successively optimized as per the obtained estimation results. The proposed SLAB scheme will yield a sequence of beamforming weights and UE location estimates, which will converge to the stationary point of the associated optimization problem. Simulation results show that the proposed SLAB scheme achieves a huge performance gain for UE localization compared with state-of-the-art baselines.
Active Power Decoupling Control of Bridge-less SEPIC using Lyapunov-function based Control Strategy

This paper proposes a new control strategy for active power decoupling(APD) function of a bridge-less single-ended primary inductance converter(SEPIC). Without additional components, a change of control method would enable the implementation of APD functions, replacing an electrolytic capacitor(E-Cap) with a small film capacitor. The contribution of this paper is to apply a Lyapunov-function based control method to the control system to ensure global stability and reduce the number of sensors and parameters required for control. The effectiveness of the proposed control method is shown by simulations using MATLAB/SIMULINK.
Energy Efficient Smart Wireless Sensor Network for Border Monitoring

A safe border is the main concern for many governments nowadays. This paper presents a low power intelligent controller for an intrusion detection using neruo-fuzzy power gating technique to reduce the static power loss. The system uses input signals from a PIR, an acoustic and magnetic sensors, the output is presented as a warning alarm to define the kind of the intrusion. The system behavior is simulated using MATALB-SIMULINK and verified by hardware implementation.
Reliable Communication in Transmission Grids based on Nondisjoint Path Aggregation Using Software-Defined Networking

In electrical transmission grids, the redundant communication paths nondisjointly overlapping at links can be established between certain substations and the control center to guarantee reliable packet delivery under link failures. However, the generation of nondisjoint paths with multiplicative and concave constraints is with the NP-complete complexity and the failovers can lead to out-of-order packets. This paper presents an OpenFlow-based nondisjoint path aggregation mechanism to heuristically compute the constrained nondisjoint paths in a centralized fashion and reorganize the out-of-order packets at edge switches. The solution is evaluated through simulations of the IEEE 30-bus network scenario under 2% link failure rate and the result confirms its effectiveness: the packet delivery success rate is significantly improved in comparison with the current nondisjoint and disjoint path algorithms. TCP throughput is improved by 121.62% with the packet reordering. Also, the memory usage for the packet reordering buffer is reduced by 76.563% compared with the distributed cognitive packet network.
Individual Recognition of Communication Emitter Based on Deep Learning

In view of the individual recognition problem of the communication emitter, this paper, starting with the subtle characteristics of the communication emitter in the signal layer, proposes a method of individual recognition based on deep learning. First, a recognition framework based on deep learning is established, and a convolution neural network containing two hidden layers is designed to extract local features through two layers convolution operations. Secondly, the stochastic gradient descent method is used to optimize the parameters, and the soft max model is used to determine the output label. Finally, the effectiveness of the method is verified by experiments.
Synthesis of a Dynamical Output  ${H}_{\infty}$  Controller for the Fuzzy Input-Output Model

In this paper, the issue of dynamical output <inline-formula> <tex-math notation="LaTeX">${H} _{\infty }$ </tex-math></inline-formula> controller designing is addressed for the fuzzy input-output (FIO) model. The FIO model is significantly distinctive from the conventional Mamdani and T-S or T-S-K fuzzy models and can be conveniently used to describe more complicated dynamical systems that cannot be easily handled by the conventional fuzzy models. By using the robust control theory available for both the linear and fuzzy systems, sufficient conditions in terms of the linear matrix inequalities (LMIs) are derived to synthesize a dynamical output feedback <inline-formula> <tex-math notation="LaTeX">${H} _{\infty }$ </tex-math></inline-formula> controller for the FIO plant. These LMI conditions can be numerically and efficiently solved by the existing convex optimization software, e.g., the MATALB LMI toolbox. Moreover, a motor-spring-mass system abstracted from the real applications is provided to validate the applicability and efficiency of our method.
Analysis of Modular Multilevel Converter Based Solid State Transformer Implementing Hybrid Control

A Solid State Transformer (SST) consists of a high-frequency transformer and power electronic converters. It is relatively a complex system. It requires control in many stages. The control methods vary from topology to topology. In this paper, Modular Multilevel Converter (MMC) topology is used in converter stage. To control MMC, a hybrid control is implemented consisting of a modified sorting algorithm and model predictive control. Using the proposed algorithm, the performance of the system under different grid disturbances has been analyzed.
OptDynLim: An Optimal Algorithm for the One-Dimensional RSU Deployment Problem With Nonuniform Profit Density

Proper deployment of roadside units (RSUs) is of crucial importance to vehicular ad hoc networks (VANETs). However, our understandings to the simple one-dimensional RSU Deployment (D1RD) problem with nonuniform profit density is still seriously limited. In this paper, we analyze the D1RD problem and try to design optimal algorithms for it. We first analyze the properties of the optimal solutions of the D1RD problem involving a single RSU, and then extend to multiple RSUs. Next, we propose an efficient technique named Dynamic Limiting (DynLim), which reduces the solution search space size considerably by adjusting search space limits dynamically. Finally, an optimal algorithm named OptDynLim is proposed based on the DynLim technique, and its optimality is proved. Numerical simulations validate the correctness of our analyzes and show that DynLim can usually reduce solution search space size by more than 99%.
The Metal Oxide Nanoparticles doped Polyaniline based Nanocomposite as Stable Electrode Material for Supercapacitors

The present study illustrates an approach for the synthesis of nanoparticle doped polyaniline (PANI) nanocomposites by in-situ oxidative polymerization technique in devising electrode material for high performance supercapacitors for energy storage. A simple, facile technique to designed low cost materials based on conducting polymers for an efficient hybrid supercapacitor was discussed briefly in this article. The nanocomposites fabrication into electrodes was then discussed for the analysis of the electrochemical efficiencies employing cyclic voltammetry (CV), galvanostatic charge-discharge (GCD) and electrochemical impedance spectroscopy (EIS). The electrochemical investigations as reported by previous researchers revealed an excellence electrochemical performance of the conducting polymer-based nanocomposites leading to enhanced capacitive nature. The conducting polymer-based nanocomposite also presented an improved life cycle capacitance retention. Thus, conducting polymer-based nanocomposites demonstrates excellent efficiency and can be explored as economic alternatives to tackle the issue of energy storage.
Compliance Control Using Hydraulic Heavy-Duty Manipulator

Active compliance control is one of the necessary prerequisites for the fine manipulation of hydraulic heavy duty manipulators (HHDMs). The establishment of a rigid–flexible coupling machine–hydraulic multibody dynamics model and an active compliance control algorithm for HHDM are the key problems to be solved urgently in the compliance control of heavy duty manipulators. In this paper, a multibody dynamics model of a machine–hydraulic system with seven degrees of freedom is developed with consideration of HHDM characteristics, such as multi-input multioutput, nonlinearity, and rigid-flexible coupling. Meanwhile, a position/force same loop control algorithm for the compliance control of HHDM is proposed based on genetic neural network. Specifically, the force control system is decomposed into subsystems, while the feedback position and force are output through the processing of the joint position controller, torque controller, and multibody dynamics model. Cosimulation results present the feasibility and effectiveness of the proposed dynamics model and control algorithm. Moreover, the experimental environment and the HHDM control system are also developed, while the operation experiment of the control system for HHDM is accordingly conducted. Experiment results show that the control system can realize precise control of position and force, and can successfully complete the function of active compliance control operation.
Optimal Allocation of Capacitors Banks in Radial Distribution Systems Using Clonal Algorithm

This paper illustrates a method for solving the capacitor allocation problem with the purpose of reducing the active losses in an electricity network, which should operate with a voltage profile complying with the corresponding regulation. Allocation means determining the types, sizes, locations and control type of the capacitors to be installed in the power network. In this work, the optimization technique used to solve the capacitor allocation problem is the Clonal Algorithm, inspired by the behavior of the mammalian immune system. The algorithm starts with a high number of capacitors. Subsequently, such a quantity gradually decreases until a configuration with a minimum number of capacitors is found, as well as the indication of where each capacitor should be installed is determined. The objective is to ensure that the network operates with minimal losses and voltages within a pre-defined range. In order to validate the proposed methodology, the algorithm is applied to the IEEE 33-bus system. The results demonstrate the feasibility of the application of the technique.
Multiheaded starfish shaped multiband microstrip patch antenna for satellite communication

This study concerns a simulation of a multiheaded starfish shaped patch antenna for satellite communication as the primary purpose. The proposed antenna can operate over the frequency bands of 3.025-3.057 GHz, 7.7716GHz-7.88GHz, 9.005GHz-9.225GHz, 10.06GHz-10.27GHz. The S11 = −10 dB impedance bandwidth is 32 MHz (3.025-3.057 GHz), 108.4 MHz (7.7716GHz-7.88GHz), 220 MHz (9.005GHz-9.225GHz), 210 MHz (10.06GHz-10.27GHz). The resonant frequencies are 3.04 GHz, 7.81 GHz, 9.13 GHz, 10.18 GHz.
Coupled Inductor based Isolated Voltage Multiplier Converter

The architecture, analysis and performance of Coupled Inductor based Isolated Voltage Multiplier Converter (CII-VMC) feeding the passive load is presented in the paper. The presented circuit topology distributes the responsibilities of boosting of voltage gain to its three section, viz, input boost section (IBS), voltage multiplier section (VMS) and transformer section (TS). The uniqueness of proposed converter for utilizing the preliminary interleaved boosting, followed by voltage multiplier technique harnessing high voltage gain while inheriting the galvanic isolation with gain through high frequency center tapped transformer makes it capable of operating with very high gain with higher efficiency. A 750W CII-VMC with step up from 40V to 400V is presented in the paper. The comparative analysis of the cumulative and differential coupling and coefficient of coupling in the interleaved boost stage is also analyzed. The steady state and dynamic performance of the coupled inductor under load transient and its effects on the multiplier stage in terms of current ripple is presented through results. The performance of CII-VMC is simulated under the MATLAB environment and the results are validated through analysis.
Evaluation of Partitioning Clustering Algorithms for Processing Social Media Data in Tourism Domain

Recommender systems are evolving as an essential part of every industry with no exception to travel and tourism segment. Considering the exponential increase in social media usage and huge volume of data being generated through this channel, it can be considered as a vital source of input data for modern recommender systems. This in turn resulted in the need of efficient and effective mechanisms for contextualized information retrieval. Traditional recommender systems adopt collaborative filtering techniques to deal with social context. However they turn out to be computational intensive and thereby less scalable with internet and social media as input channel. A possible solution is to adopt clustering techniques to limit the data to be considered for recommendation process. In tourism context, based on social media interactions like reviews, forums, blogs, feedbacks, etc. travelers can be clustered to form different interest groups. This experimental analysis aims at comparing key clustering algorithms with the aim of finding an optimal option that can be adopted in tourism domain by applying social media datasets from travel and tourism context.