Miracle-dz/UniFAR-FTUs huggingface dataset:
An Efficient Inductive Power Transfer Topology for Electric Vehicle Battery Charging

Recently available high-frequency power converter topologies for inductive power transfer (IPT) system utilize either zero voltage switching (ZVS) or zero current switching (ZCS) based power electronic converters while maintaining a near sinusoidal current for limited power transfer range. However, achieving ZVS or ZCS for all power switches simultaneously is still a challenging task in IPT systems. In this article, an improved zero-voltage zero-current switching (ZVZCS) IPT topology and its switching pattern are proposed. ZVS is achieved by optimizing the classical series compensation and additionally, an auxiliary network is employed to achieve ZCS. The proposed concept is verified by using MATLAB/Simulink based simulations for resistive and battery load. Finally, the practical viability of the proposed topology is validated by the results obtained using a laboratory prototype rated for 1.1 kW, 85 kHz. An efficiency of 91.26% is achieved with ZVZCS for a full dynamic power transfer range of 20 W–1.1 kW.
Secure IoT and Cloud Based Infrastructure for the Monitoring of Power Consumption and Asset Control

The evolution of ICT architectures towards IoT, Fog / Edge and Cloud paradigms represents an interesting opportunity for the electro-energy sector as it allows to improve and extend functions currently implemented for the monitoring and control of the electrical infrastructure. Securing these platforms represents an important challenge considering critical infrastructures. It is of paramount importance to study the cyber security aspects in terms of preventive and defensive security measures to be implemented. This paper proposes a secure and cost-effective platform based on openHAB and MQTT implementation for the monitoring and control of Electric Vehicle Recharge system. Moreover the paper evaluates the impact of the implementation of end-to-end security on this particular use case, taking into account the specific requirements, in order to demonstrate the possibility to implement cyber security measures without compromising the communication performance. The use of end-to-end secured communications and the deploy of a private cloud connected with single board computers allow to obtain an economic solution addressing cyber security aspects.
Test software development of size and contrast effect research

This paper presents the development of a web-based test software for size and contrast effect research. Since these types of studies mostly exist on paper and the world is transitioning into a digital age, it is critical to assess the human perception in a digital application. Therefore, a web-based application was developed using the. NET Core for the frontend, React for the backend and MS SQL for the database. A Model View Controller was used for the connection between the different parts. After the development was completed, 21 people tested with 9 deceptive images to investigate the relationship between the colors in the background and the effect they have on shapes in the foreground. The results show that in the case of the dark colors, the testers answered with darker RGB values and in the case of the light colors, the testers answered with similar RGB values.
UDE based Sliding Mode Control for Octocopter

Octocopter system consists of nonlinear, under-actuated and MIMO dynamics. External disturbances acting on octocopter can affect the flight stability of octocopter. In the presented work, the external disturbances are affecting the altitude and attitude states of multi-rotor system. An uncertainty and disturbance estimator (UDE) based sliding mode control (SMC) strategy is proposed to achieve flight stability for a nonlinear octocopter dynamics operating in the presence of external disturbances. The proposed robust control approach does not require any information such as a priori knowledge of disturbance bound and also addresses the the issue of chattering phenomena, a major concern in SMC design. It is also observed that efficiency of actuators can be increased in the absence of chattering phenomena. Efficacy of the proposed design is shown through simulations and comparison with the SMC based controller design.
ANFIS Controlled Grid Connected Electric Vehicle Charging Station Using PV Source

This paper provides an insight of electric vehicle charging station which is supplied by three sources grid, photovoltaic system (PVS) and battery energy system (BES), and this system works in both conditions like shore and offshore. Power grid, equipped with an AC/DC converter supplies a continuous and constant power to EV charging station through a DC/DC converter. BES used as a buffer by storing excessive energy at light load conditions and supplying it when needed. Control unit enables the bi-directional DC/DC converter for charging and discharging. Adaptive neuro fuzzy inference system (ANFIS) is used in control unit which improves the performance of the converters. MPPT (maximum power point tracking) technique is used to get the appropriate pulses for DC/DC converter to extract the maximum output power from PVS at different conditions. The proposed system is simulated in MATLAB/SIMULINK environment and results are discussed to validate the system.
Research on Data Cache Algorithm of Fog Computing Node

As an important part of the new wireless network, the fog network has limited storage capacity and high energy consumption problems of fog nodes. Therefore, this paper focuses on the optimization of fog node data storage hit rate and energy consumption in fog networks. First, a mathematical model including fog nodes, users, and files was established within the specified range, and the objective function of the hit rate and energy consumption was established for this model. Then the NSGA-II multi-objective optimization algorithm was used to jointly calculate the hit ratio and energy consumption. and obtain multiple sets of global optimal solution storage methods. Finally, simulation analysis shows that the optimized storage strategy not only effectively reduces the energy consumption under the premise of ensuring the hit ratio, but also finds that the amount of data stored by the fog node is significantly reduced, thereby extending the life of the fog node storage device life. Conducive to reducing the cost of deployment and maintenance of fog nodes.
Comparative Analysis of Traditional Virtual-LAN with Hybrid Software Defined Networking Enabled Network

The Virtual Local Area Network (VLAN) refers to logically bifurcated LAN, and can be designed as per users requirement with centrally controlled feature defines Software Defined Network-Virtual Local Area Network (SDN-VLAN). VLAN has created an array of advantages and expectations for the IT industry, but their construction is very complex, weak, time-consuming, and vulnerable to mistakes. SDN has emerged into the most ambitious way to tackle the above limitations of VLAN control, revolutionizing the current network infrastructure to improve efficiency and scalability. This research article compares the three network scenarios wherein firstly, traditional VLAN network is implemented on Cisco Packet Tracer, followed by the second stage wherein, the same proposed VLAN network topology with reduced network resources is then implemented along with SDN on Mininet and Red Hat Enterprise (Rhel) interface and in the final stage, hybrid (Traditional VLAN and SDN enabled inter-VLAN) network topology is created and analyzed on Mininet. This study is further accompanied by comparing the three scenarios and depicting the results in a tabular form. It is observed that each scenario has its own pros and cons and this article continues with recommendations that network architectures should be revamped, although it relies solely on the network administrator the type of network can be applied according to the organization’s existing resources although specifications.
Research on Computer Security Protection Technology Based on Information

With the rapid development of computer networking in all walks of life, network information security has attracted more and more attention from users. From the overall network information security to the security of a single computer and communication security has become a research focus. At present, the research on the computer's stand-alone information security has achieved initial results. It can be roughly divided into three key research areas: data integrity and security research, system integrity and credibility research, and service denial of service research. This paper proposes a design scheme of the computer's underlying input and output security subsystem based on the BIOS module. It uses information summary, identification and data encryption provided by cryptography to provide computer system integrity and legality detection, user identification and hard disk data and to protect and realize the security service to the stand-alone computer.
Relay-Assisted Technology in Optical Wireless Communications: A Survey

When the distance between the source and the target is long, the signal will be affected by atmospheric turbulence, weather conditions and obstacles, which cannot support the information transmission. One of the existing solutions is to use relay-assisted technology (RAT). It makes the communications between the source and the destination possible under better channel conditions by setting up relay between the source and the destination. There are few comprehensive articles about relay-assisted technology in OWC. To fill this gap, this paper introduces the RAT of indoor optical wireless communications (IOWC), outdoor optical wireless communications (OOWC) and underwater optical wireless communications (UOWC) in different application scenarios, which has a better effect than direct communication between source and destination. The relay protocols, channel models, modulation techniques under three relay modes are reviewed. Finally, challenges of RAT in OWC are put forward and potential solutions are also given.
Scalable Real-time Data Interface With Application to Android Based on OPC for IOT

Traditional industrial data interface follows the object linking and embedding for Process Control (OPC) standard and relies on the personal computers or on-site computers, which has some limitations, e.g., the dependence of Windows platform, too much service couplings, and inflexible usages. There is few researches on scalable real-time data interface with other platforms, and an efficient and scalable real-time data interface that supports mobile applications is one of the key technologies to be solved in software engineering for Internet of Things(IOT). So in this paper, we consider scalable real-time data interface with application to Android, based on OPC. We develop an architecture of the scalable real-time data interface by sufficient analysis, and then present several corresponding modules on Android for application. Finally, we test our designed scalable real-time data interface based on a process control device, and apply it to Android platform. The results show that our designed scalable real-time data interface is practical and efficient.
Using Hierarchical Likelihood Towards Support Vector Machine: Theory and Its Application

The H-likelihood method proposed by Lee and Nelder (1996) is extensively used in a wide range of data. In terms of direction, repetitive measured data within classification can be examined employing hierarchical generalized linear models (HGLMs). Whether we are concerned in multiple endpoints which are correlated, instead Multivariate Double Hierarchical Generalized Linear Models (DHGLM) can be taken into consideration. This article addresses the implementation of this principle to vector selection and support machines. Based on the analysis with the fish morphology class Sardinella lemuru (Bali sardinella) and setting the best epsilon 0.7 cost 4 parameter reaching best performance: 0.2327401. Predictive value of fish sex was calculated 0.997319 and Region under the curve: 0.8967. At the same time, we extend the large-scale case studies for stress testing of the SVM method by using three datasets from UCI machine learning repository including the bank marketing dataset, the car evaluation database and human activity recognition using smartphones dataset. In a nutshell by employing SVM-DHGLM increased the accuracy, precision, recall, for feature selection and classification. Long story short, the $H$ -likelihood provides an excellent and usable structure for statistical inference of the unobservable general deterministic model, while preserving the advantages of the original probability structure for fixed parameters. We presume that more new groups of models will be created and that the $H$ -likelihood will be commonly used for their inferences and the application in big data and machine learning.
Comparative Analysis of Salp Swarm Algorithm Tuned 2-DOF PID and PIDF controllers for Reducing the Current Consumption in EPAS System of Electric Vehicles

Electric power-assist steering (EPAS) system is an auxiliary system of electric vehicle (EV) that reduces the steering effort of the driver by applying an assist toque using an electric motor to the steering system. This paper aims to present a comparative analysis of the salp swarm algorithm (SSA) tuned 2-Degree of freedom (DOF) PID controller and the PID controller with a derivative filter (PIDF) in reducing the current consumption of the EPAS system besides in lowering the driving effort. Simulation results are discussed to effectively signify the comparison between the two controllers. This study also determines the feasibility of SSA in optimally tuning the controller parameters for the EPAS system.
Throughput maximization for multi-UAV enabled millimeter wave WPCN: Joint time and power allocation

In this paper, we investigate the effective deployment of millimeter wave (mmWave) in unmanned aerial vehicle (UAV)-enabled wireless powered communication network (WPCN). In particular, a novel framework for optimizing the performance of such UAV-enabled WPCN in terms of system throughput is proposed. In the considered model, multiple UAVs monitor in the air along the scheduled flight trajectory and transmit monitoring data to micro base stations (mBSs) with the harvested energy via mmWave. In this case, we propose an algorithm for jointly optimizing transmit power and energy transfer time. To solve the non-convex optimization problem with tightly coupled variables, we decouple the problem into more tractable subproblems. By leveraging successive convex approximation (SCA) and block coordinate descent techniques, the optimal solution is obtained by designing a two-stage joint iteration optimization algorithm. Simulation results show that the proposed algorithm with joint transmit power and energy transfer time optimization achieves significant performance gains over Q-learning method and other benchmark schemes.
Analyze UCA Based OAM Communication From Spatial Correlation

Orbital Angular Momentum(OAM) of Electromagnetic(EM) wave can be seen as a new degree of freedom(DoF) for wireless communication besides time and frequency. Uniform Circular Antenna Array(UCA) fed with signal of equal amplitude and equal phase difference on each antenna element is a good OAM generation method on radio frequency(RF) band. Previous researches have shown that UCA based OAM communication system is essentially a special case of Multiple-input Multiple-output(MIMO) system and elaborated the viewpoint from different perspectives. In this paper, we demonstrate the above viewpoint from a new perspective. Specifically, for UCA based OAM communication in ideal(line of sight(Los) and coaxial) channel, we systematically analyze the variations of radiation pattern and spatial correlation of UCA under different radius and distance settings. To extend our demonstration, we first simulate the channel capacity variation with the adjustment of UCA radius and distance, and then simulate the channel capacity of both UCA and uniform linear antenna array(ULA) based communication systems, and find that ULA can also achieve similar capacity performance as UCA when spatial distance scale is similar. As is known that MIMO communication system provides spatial DoF besides time and frequency, we can conclude that mode DoF of UCA based OAM essentially originates spatial DoF of UCA based on the analysis in the paper.
Passivity-Based Lag-Compensators With Input Saturation for Mechanical Port-Hamiltonian Systems Without Velocity Measurements

In this letter, we propose a passivity-based control technique, where the resulting controllers can be interpreted as lag-compensators for nonlinear mechanical systems described in the port-Hamiltonian framework. The proposed methodology considers a dynamic controller such that the relationship between the control input and the error signal of interest can be expressed in terms of a transfer function. Accordingly, the control gains can be tuned through a frequency analysis approach. Additionally, two practical advantages of the resulting controllers are that they do not require velocity measurements, and they can cope with input saturation. We illustrate the applicability of the proposed methodology through the stabilization of a planar manipulator, where the experimental results corroborate the effectiveness of the technique.
28/38 GHz Dual-Band Microstrip Patch Antenna with DGS and Stub-Slot Configurations and Its 2×2 MIMO Antenna Design for 5G Wireless Communication

The world is going to launch a very fast 5G wireless communication system, its main purpose is to achieve a highspeed data rate that is possible through millimeter-wave communication with wide bandwidth antenna. The microstrip patch antenna may be an elementary component of a radio channel that's specified among the most effective receiver transmitting structures, due to its low cost of assembly. This paper proposed a dual-band microstrip patch antenna with a wide bandwidth that works for 28 GHz and 38 GHz frequency bands. Defected Ground Structure (DGS) and stub slot configuration have been used to achieve wide bandwidth and dual-band, the overall size of the antenna is 8.25 × 9.69×0.45 mm3, The proposed antenna exhibits a −10-dB impedance bandwidth of 5.13 GHz and 11.63 GHz, gain of 8.31 dB and 6.38 dB and 98% efficiency for both 28 and 38.5 GHz resonant frequency respectively. A 2×2 MIMO antenna also designed where isolation is less than −20 dB between different ports.
Composition and functional properties of monolayer cell culture from human umbilical cord blood

Objectives: It’s known that during cultivation, adherent cells of umbilical cord blood (UCB) form a monolayer reminiscent, in its composition, of the stromal monolayer of bone marrow (BM) culture. However, the presence of mesenchymal stem cells (MSCs) in UCB still remains uncertain. This study was performed to investigate the composition and some functional characteristics of MSC-like cell populations revealed in the cord blood monolayer culture. Materials and methods: Forty-three human UCB samples were under study. All the samples were obtained during full-term deliveries. To produce monolayer cultures, mononuclear cell fractions from UCB were cultivated in a culture medium containing DMEM with 20% FCS, supplied with 1% Pen/Strep. Phenotypic patterns of UCB culture were assessed with a panel of monoclonal antibodies specific for CD34; CD117; CD45; CD14; CD3; CD19; CD31; CD90; HLA DR; and HLA ABC. To determine the functional characteristics of MSCs derived from UCB culture, their differentiation ability and stimulation of hematopoietic colony formation activity were evaluated. Results: In most cases, the cultures of plastic-adherent cells proved to be heterogeneous. Both spindle-shaped and polygonal cells were observed. In some samples, clonal growth could be detected. However, the number of fibroblastoid cells did not increase 100 cells per colony. Large colonies were registered in three UCB samples of the 43 under study. As evidenced by immune phenotyping, the monolayer UCB cultures were rather polymorphic and dissimilar in each sample. Most of the cells present in the cultures were macrophages (CD45+). However, we also found different amounts of presumably mesenchymal cells, including cells with an endothelial phenotype (CD34+CD31+). Specific staining showed that the cells from a UCB monolayer culture have the capacity to differentiate into adipocytes and osteoblasts. In some cultures, however, induction of differentiation lead to the detachment of a major cell fraction. Hemostimulatory ability of UCB monolayer cultures depended on the phenotype composition of the monolayer culture. CD45+ and CD14+ cells, evidently, are stimulatory for granulocyte-macrophage colony formation. Moreover, levels of non-hematopoietic subpopulations (CD90+CD31-) in UCB cultures showed a direct correlation with the numbers of CFU-GM colonies produced. Conclusion: UCB contains a subpopulation of non-hematopoietic cells possessing phenotypic and some functional characteristics of bone marrow derived mesenchymal stem cells. However, the low content and variable numbers of such cells provide some doubts on the viability of UCB as an alternative source for MSC.
Guidance of a person by scaling the image projected from a mobile robot

In this paper, we propose a new method to guide a person to an exhibition using a mobile robot with a projector. It has been reported that conventional guide robots cannot control the position of people around the robot; for example, when people gather around a robot, it becomes difficult to move. Robots had to explicitly instruct people to move by voice or display, saying, "Please make way. " or "Please move there. " However, repeated such explicit instructions are not comfortable for us. In this study, we propose a method to guide a person by scaling projected images using a mobile robot with a projector. Based on the tendency that we naturally move to the place where the projected explanation is easy to see, the proposed guiding behaviors can guide a person away from the robot or move the robot while keeping the person in the place. Preliminary experimental results showed that the person tends to be guided by the proposed method without explicit indication.
Nickel effects on growth and antioxidative enzymes activities in desert plant Zygophyllum xanthoxylon (Bunge) Maxim

One-month old Zygophyllum xanthoxylon seedlings were grown under five different Ni concentrations (0, 50, 150, 450 and 900 mg/kg). Growth parameters, tissues Ni accumulation, soluble protein content, photosynthetic pigment content, lipid peroxidation, antioxidative enzyme activities, and proline content were studied after one month of Ni exposure. The significant reduction in fresh biomass in the shoot and roots was detected at high Ni concentrations (≥450 mg/kg), whereas dry biomass was not significantly affected in both organs by any of the Ni doses tested. The Ni contents in the shoots and roots increased in a dose-dependent manner, and Ni contents in roots were higher than that in shoots at all treatments. The high Ni doses elevated soluble protein contents in leaves and roots. No visible symptoms of chlorosis were observed in leaves of plants grown in presence of Ni. Malondialdehyde (MDA) contents significantly increased in leaves and roots at high Ni treatments (≥450 mg/kg), indicating that Ni induces oxidative stress. Enzyme activities might play a central role in cellular protection against the Ni induced oxidative stress. Proline contents proportionally increased with the elevated Ni concentrations. Zygophyllum xanthoxylon revealed moderate Ni tolerance under tested culture conditions, and could be used as tools for revegetation for erosion control in moderate Ni contaminated sites.