Miracle-dz/UniFAR-FTUs huggingface dataset:
Simulation and Analysis of DDoS Attack on Connected Autonomous Vehicular Network using OMNET++

The advent of the Internet of Things (IoT) gave us the capability to connect real-world objects to the Internet, making our lives more convenient. However, hackers have been known to crack into these real-world systems causing more inconvenience to the people than making their lives easier. Smart cars are one of the technologies which make our lives easier, but if an attacker exploits its vulnerabilities, they can cause severe discomfort to the passengers and the people around. In recent years, there have been instances where Connected Autonomous Vehicles (CAVs) were attacked by hackers, which granted complete and total control of the car to the attacker, or where the network was jammed, which led to the loss of information. In this paper, we present the simulation of a DDoS attack in a virtual environment of OMNET++ on a network of connected autonomous/smart cars. We also discuss and show how this attack can affect the communication between the cars which are interacting with each other using the well-known IEEE 802.11p DSRC protocol. Related simulation results are presented and discussed.
Computation of the maximal invariant set of linear systems with quasi-smooth nonlinear constraints

In this paper, we consider the problem of computing the maximal invariant set of linear systems with a class of nonlinear constraints that admit quadratic relaxations. With these quadratic relaxations, we are able to determine a sufficient condition on the maximal invariant set. Using the sufficient condition, a new algorithm is presented by solving a set of linear matrix inequalities. Under mild assumptions, the proposed algorithm will terminate in finite time. The performance of this algorithm is demonstrated on several numerical examples.
A Novel Reading and Writing Posture Reminding System based on Kalman Filtering Preprocessing and Neural Network Classification

Nowadays, teenagers’ vision and cervical health are largely affected by their sitting posture but most of them don’t get into good sitting habits. With the development of wearable smart devices, we have come up with a more effective solution to this problem. A posture reminding system designed with two kinds of sensors and processor Arduino is introduced in this paper. We detect attitude angle and distance from torso to desk using two sensors and send the data to a microprocessor. Then by using Kalman filtering algorithm, we realize the data fusion analysis. To make our device smarter, we apply Genetic Algorithm-Back Propagation neural network for posture classification which shows a higher accuracy compared to traditional classification algorithms. Trained by hundreds of sets of data, the accuracy of our system has reached 99.58% which shows this classification scheme is very effective.
Input Shaped Trajectory Generation and Controller Design for a Quadrotor-Slung Load System*

Quadrotor-slung load systems offer a versatile method for transporting payloads. With these systems, it is particularly important to mitigate and manage unwanted payload swinging through the careful design of flight trajectories and controllers. Tracking input shaped trajectories for instance is an effective way to minimize post-flight swinging for rest-to-rest maneuvers by allowing some swinging motions during flight. In this paper, we first present a computationally simple method to generate input shaped quadrotor flight trajectories for non-rest-to-rest maneuvers. We then propose a controller to track these shaped trajectories and permit the associated payload swinging while also rejecting unwanted swinging disturbances. The path planner and controller are implemented in simulation and the performance of the controller is compared against two simpler controllers for an input shaped u-turn maneuver both with and without an initial swinging disturbance. The results of these simulations demonstrate the effectiveness of our path planner, while also showing that the proposed controller outperforms both baseline controllers considered.
Optimal control of an artificial microbial differentiation system for protein bioproduction

The production of recombinant proteins is a problem of significant interest in bioengineering. Because of the existing trade-off between cellular growth and protein production, these two processes are separated in time in most commonly-employed strategies: a growth phase is followed by a production phase. Here, we investigate the potential of an alternative strategy using artificial cell specialization and differentiation systems in which cells either grow (“growers”) or produce proteins (“producers”) and growers can irreversibly “differentiate” into producers. Inspired by an existing two-population system implemented in yeast, we propose a model of a “yeast synthetic stem cell system” and define an optimal control problem to maximize bioproduction. Analytically, we first establish the well-posedness of the problem. Then, we prove the existence of an optimal control and derive non trivial optimality conditions. We finally use these results to find numerical optimal solutions. We conclude by a discussion of extensions of this work to models that capture the heterogeneity of the cell response to differentiation signals.
Bottle Beams in Nonlocally Defocusing Nonlinear Media

The dynamics of the inward-focusing ring Airy beam in nonlocally defocusing nonlinear media is investigated in detail, and a bottle beam shape can be observed by adjusting the amplitude of the inward-focusing ring Airy beam and the nonlocality of the media. The gradient force of the bottle beam is numerically studied. It is worth mentioning that the bottle beams are formed in the nonlinear regime, which indicates that much higher intensity is allowable for these beams than those in the linear regime. Our approach and results may pave the way to the optical tweezers in the nonlinear regime.
Hierarchical Composite Nonlinear Feedback Control Approach and Applications for Quadrotors

A hierarchical composite nonlinear feedback (HCNF) control technique is proposed in which the auxiliary integrators are introduced to remove the steady-state bias due to the disturbances. The main idea of HCNF is to separate the control design of the auxiliary integrators and the composite nonlinear feedback (CNF) control design. The auxiliary integrators are applied only to remove the steady-state bias by automatically adjusting the commands to be tracked by the CNF control law in which the CNF control design does not involve with the auxiliary integrators. The HCNF control technique is applied to design the attitude control law of a maneuvering flight control law for a quadrotor. The resulting closed-loop system is verified in simulation successfully to complete the maneuvering flight.
Development of text and speech corpus for an Indonesian speech-to-speech translation system

This paper describes our natural language resources especially text and speech corpora for developing an Indonesian speech-to-speech translation (S2ST) system. The corpora are used to create models for Automatic Speech Recognition (ASR), Statistical Machine Translation (SMT), and Text-to-Speech (TTS) systems. The corpora collected since 1987 from various sources and projects such as Multilingual Machine Translation System (MMTS), PAN Localization, ASEAN MT, U-STAR, etc. Text corpora are created by either collecting from online resources or translating manually from textual sources. Speech corpora are made from several recording projects. Availability of these corpora enables us to develop Indonesian speech-to- speech translation system.
New Pattern Reconfigurable Circular Disk Antenna Using Two PIN Diodes for WiMax/WiFi (IEEE 802. 11 a) Applications

Reconfigurable radiation pattern shaping by means of circular disc planer antenna with a slot ring is presented. The proposed microstrip antenna has an overall dimension of 70×70mm2 designed on a substrate of a dielectric constant 4.3. The designed antenna operates at 5.35 GHz with a central coaxial probe feed. By altering the configuration of two PIN diodes switches, the designed antenna has three different beam patterns in the yz plane. Biasing each diode separately result in about 60°change in the main radiation pattern steering angle, while the frequency response are largely maintained. At resonance, the peak gains are approximately 3.5 dB, 4 dB and 4.3 dB, in the three configurations of the diodes. Return losses, peak gains and reconfigurable radiation patterns are reported, which are in very good agreement for WiMax/WiFi (IEEE 802.11a) applications.
Research on 3/6-phase Winding Switching Integrated Starter Generator for Range Extender Electric Vehicles

To improve the output current of an Integrated Starter Generator (ISG) with stable windings at high speed, a 3/6-phase winding switching permanent magnet (PM) machine is proposed this paper. At low-speed starting mode, large number of coils are series connected as conventional three-phase windings to keep the starting performance in starting the engine. At high-speed generating mode, the coils are connected as six-phase winding to generate greater current. Finite element analysis software was utilized to verify the EMF and output current performance of 3/6-phase winding switching of ISG with consequent-pole rotor, which was designed for Range Extender Electric Vehicles (REEV). The experimental results verified that the proposed ISG increased the output current by six-phase windings in generating mode.
Space Harmonics Elimination for Fractional-Slot Windings With Two-Slot Coil Pitch

Recently, fractional-slot windings with two-slot coil pitch are receiving more and more attention due to their lower space harmonic contents in stator magnetomotive force (MMF) compared with the widely-used fractional-slot nonoverlapping counterparts. To further reduce the detrimental space harmonics for this type of winding, various solutions featured by varied coil turn ratios are investigated in this paper. Firstly, all the feasible slot and pole number combinations for fractional-slot windings with two-slot coil pitch are discussed. Secondly, two types of Slot Harmonic Only Windings (SHOW), i.e., SHOW I and SHOW II, are illustrated on the 18-slot/10-pole (18S10P) and 24S10P windings, through which only the main harmonic and its slot harmonics will be present in stator MMF harmonics. Then, to overcome the drawback of reduced main harmonic magnitude owing to both the decreased winding factor and poor slot area utilization associated with the SHOW, two solutions, i.e., 6-0 solution and 5-1 solution for 18S10P and four alternatives, i.e., 7-1 solution, 6-2 solution, 5-3 solution and 4-4 solution for 24S10P, are proposed based on the SHOW I or SHOW II. It is found that the 5-1 solution for 18S10P and 5-3 solution for 24S10P winding are the most desirable ones considering the tradeoff between larger main harmonic magnitude and lower harmonic contents. Furthermore, electromagnetic performance comparisons are carried out between 24S10P permanent magnet (PM) machines with 5-3 solution and 12S10 two layer and 24S10P two layer machines. Although the average torque of the 24S10P machine with 5-3 solution has a slight decrease, its torque ripple and radial magnetic force density rotor eddy-current losses are greatly suppressed compared with the two layer counterparts.
Abstraction-based low complexity controller synthesis for interconnected non-deterministic systems

This paper presents an abstraction based approach to the design of distributed controllers for n-dimensional non-deterministic interconnected systems. Lyapunov-like functions are used to characterize partial information in an abstraction for a lower complexity controller synthesis in each sub-system. A step-by-step algorithmic procedure is proposed to implement the proposed approach. A numerical example is provided to illustrate the implementation issues.
Smartwatches as IoT Edge Devices: A Framework and Survey

Smartwatches have finally come of age and represent a unique platform for building IoT applications involving people. Today, smartwatches are used in various IoT scenarios including healthcare and fitness. Since the current smartwatches are equipped with a variety of sensors and heterogenous wireless protocols, they can be used to enact a variety of people-based Social Internet of Things (SIoT). Such applications involve sending sensor data from millions of watches through the IoT cloud. Processors on current watches are powerful enough to run even deep learning algorithms and may support peak download data rates of more than 50 Mbits/second. However, battery life remains a limiting factor. Most smartwatch applications capture and process context. This paper provides a survey and framework based on context computation, edge analytics, and computation off-loading as applied to IoT applications using smartwatches. This framework can be a basis of meaningful discussion of various solutions to address various technical problems like short battery life of smartwatches when used in IoT applications.
Date of publication xxxx 00, 0000, date of current version xxxx 00, 0000

For developing smart cities, it is necessary to integrate all components of a city as a system of systems. This is facilitated by urban computing as a technology to address the complexity of providing adequate services to citizens through various city sectors/systems. Since business processes across city sectors/systems should be aligned with the objectives of urban computing, Business Process Change (BPC) is also a significant prerequisite of city systems integration for Smart City Development (SCD). However, there is limited research on understanding of BPC and its challenges in SCD, while in the private sector, the BPC best practices for Enterprise Systems Integration (ESI) have already been recognised and implemented. By considering city as an enterprise, this research aims at providing an understanding of similarities and differences between BPC challenges in the two contexts: SCD and ESI. This study collects data through literature analyses, interviews, and document analyses and suggests that many BPC challenges in SCD have an equivalent from the ESI context. In addition, the findings provide new insights through some challenges that are only relevant to the SCD context, so-called unsolved challenges. Consequently, the study developed a comparison framework, which indicates that the learnings from ESI could be utilised for the SCD context, in order to address BPC challenges. This will assist city authorities in designing their SCD roadmap, prioritising BPC challenges based on the efforts employed for ESI, and thinking about addressing unsolved challenges; as well as smart city solution providers to develop solutions for changing city processes. INDEX TERMS Business process change, smart cities, smart city development, systems integration, Urban Computing.
Full Parallax Table Top 3D Display Using Visually Equivalent Light Field

A new full parallax light field 3D display that optically interpolates the rays emitted is proposed. Using a barrier with special aperture structure, we achieve interpolation by optical linear blending not only for the horizontal direction, but also for the vertical direction. Linear blending produces visually equivalent intermediate view point images equivalent to the real views if the disparity between the two images being blended are small enough. Therefore, a high feel of existence can be produced as the interpolation yields smooth motion parallax. Since interpolation reduces the number of viewpoints, number of pixels in each direction can be increased yielding high resolution. In this demonstration, we reproduce CG objects and scenes of a ball game on a table top.
Electron Traps at Sidewalls of Vertical n+-GaAs/n−-InGaP/p+-GaAs Diodes Detected with Deep-Level Transient Spectroscopy

Electron traps are detected from vertical n<sup>+</sup>-GaAs/n<sup>−</sup>-InGaP/p<sup>+</sup>-GaAs diodes with deep-level transient spectroscopy (DLTS). Combining lock-in window (t<inf>w</inf>) varying DLTS and double-correlation DLTS (DDTLS), we assign the electron traps to surface states at the sidewalls of the diodes. The methodology is introduced in the paper.
Pre-Regulating Boost Converter with Asymmetric Half-bridge LLC Converter for DC Server Power Supply

This paper proposed an boost pre-regulating converter with an asymmetric half-bridge double-ended LLC converter for DC server power supply. Proposed converter consists of boost converter for pre-regulating stage and LLC converter for stand-by stage. Due to the integration of the switches, the switch for stand-by stage can be eliminated. Two output voltages, main output voltage and stand-by output voltage, are regulated by using both pulse width modulation and pulse frequency modulation controls. The switches in the proposed structure achieve zero-voltage-switching (ZVS) in the nominal state. As a result, the proposed structure that contains boost pre-regulating converter and LLC stand-by converter has higher efficiency than the conventional structure which has flyback stand-by converter. The feasibility of the proposed structure is confirmed with 260-380V input and 400V/500W main output, 12V/25.2W stand-by output prototype.
Exploring Scalable WorkSpace Based on Virtual and Physical Movable Wall

We propose an approach for flexibly scalable workspace that changes viewer's perceived size of the workspace by simulating a virtually movable wall on the real wall. We conducted an experiment comparing viewers depth estimates between extended workspace virtually and physically. Besides, we investigated walls motion effects; discrete wall motion or continuous wall motion. Distances were estimated verbally and using perceptual matching method. Verbal depth estimates were equivalent in the virtual extended workspace and the physical one, with a high accuracy (estimation errors were less than 5%). However, perceptual matching estimates were signicantly different between virtual and physical scaling. Overall, they were slightly overestimated. No difference of the motion effect was found. Our results clearly suggest the potential of the workspace scaling by just giving such visual impression of extended workspace using perspective projection technique.
An Adaptive Constant Power Generation Control Scheme with Simple MPP Estimation for Photovoltaic Systems

With consideration of instability in environmental conditions, the increasing installation of maximum power point (MPP) operational Photovoltaic systems (PVSs) injects an unstable power generation to the grid (such as, overloading). Aiming to reduce the instable generation during continuous peak power generation, an adaptive constant power generation (CPG) algorithm is proposed in this paper. With the proposed control, the system can operate at MPP tracking (MPPT) mode or CPG mode with the detection from system operators. When the operation mode is detected, the control will operate with self-judgment including regulate the initial mode during CPG with a simple MPP initial MPP estimation. With the estimation of MPP and internal step-size regulation, the response speed, an important factor in variable environments, can be improved. In order to evaluate the proposed scheme, simulation and experiment in different condition, such as changing irradiation and changing limit power level are carried out.
A Novel Experimental Measurement Method of Transformer Parasitic Capacitances

As the increase of switching frequency and the extensive use of planar transformers, the capacitive effects of transformers can't be neglected anymore. Firstly, several transformer parasitic capacitance models are introduced in this paper. Next, this paper proposes a novel experimental method, charge balance method, to measure transformer parasitic capacitances. This method is applicable to single lumped parasitic capacitance model. Finally, the step response method is performed to verify the charge balance method. Experimental results show that the charge balance method is of high accuracy.
Iterative Learning Control Design for Discrete Stochastic Linear Systems

This paper develops a new iterative learning control law for stochastic linear systems. The design is based on recently developed passivity based control of repetitive process, which are a class 2D nonlinear systems. In particular, this theory is used to design a nonlinear control law for linear dynamics, which allows tuning of the control law to achieve better performance. A supporting example is given, including a comparison with a previously reported design.
Binary Particle Swarm Optimization for Scheduling MG Integrated Virtual Power Plant Toward Energy Saving

This paper introduces a novel optimal schedule controller to manage renewable energy resources (RESs) in virtual power plant (VPP) using binary particle swarm optimization (BPSO) algorithm. It is crucial to minimize the costs giving priority for sustainable resources use instead of purchasing from the national grid. The effectiveness of the proposed approach is examined by the IEEE 14 bus system containing microgrids (MGs) integrated with RESs in the form of VPP. Real load demand recorded is used to model and simulate the test case studies of the system for 24 h in Perlis, Malaysia. Moreover, weather data collected from the Malaysian Meteorological Department such as wind, solar, fuel, and battery status data are used in the BPSO to find the best ON and OFF schedules. The results found that the developed BPSO algorithm is robust in reducing energy consumption and emissions of the VPP. This study contributes to the development of an optimization algorithm for an optimal scheduling controller of MG integrated VPP in order to reduce carbon emissions and manage sustainable energy. Finally, a comparative analysis of the optimal algorithms over conventional justifies the use of RESs integration and validates the developed BPSO for sustainable energy management and emissions reduction.
Connected healthcare system to monitor the blood pressure of clients with an unobtrusive device*

The Internet of things is increasingly being applied in healthcare. We propose a connected healthcare system that enables monitoring of a physiological parameter, blood pressure (BP), to improve team-based healthcare. The system provides unobtrusive monitoring, a highly efficient database, and interventions by health professionals. This report focuses on the core technologies of our system, particularly those involved in BP monitoring. A cuffless BP-monitoring system and web-based care system, including a database, were designed and tested. The system functioned as expected and may facilitate home-based healthcare. Finally, the regulation of healthcare systems, particularly cuffless BP monitors, is discussed
Experimental study of PC-to-PC over a visible light channel using Li-Fi USB dongle

This paper proposes a novel design for a PC-to-PC USB-based indoor visible light communications system. The USB interface enables the design to be suitable not only for a PC but also for a variety of mobile devices. The experimental results show that the bandwidth of the established VLC link reaches 8.0 MHz with a measured bit error rate of 10e-5 spanning a distance of 2.0m. The data communication uses the ON-OFF keying non-return zero (OOK-NRZ) format, which is sufficient for transferring a high-definition Youtube video stream.