Miracle-dz/UniFAR-FTUs huggingface dataset:
Robust image data hiding designed for semi-fragile image authentication

DATA hiding is a promising technique for the purposes of Authentication, Fingerprinting, Security, Data mining, and copyright protection. Among the existing data hiding techniques hidden data cannot be extracted out correctly after compression and other attacks have been applied to the image. This paper uses a watermarking algorithm which embeds robust ownership watermark and ROI based semi-fragile watermarking technique for image tamper detection and recovery. Image is divided into two distinct regions, ROI and ROB. The authentication information is constructed based on ROI content and re-embedded in ROI region. Recovery information is obtained from ROB and embedded back in the same region. If ROI region is tampered, the tampered areas can be recovered from the information embedded in ROB.
Optimal power flow with IPM-APSO based hybrid method using FACTS devices for contingency surveillance

This paper presents an Interior point method (IPM) and Adaptive particle swarm optimization (APSO) based hybrid method to solve the contingency constrained optimal power flow (OPF) in power systems incorporated with Flexible AC Transmission Systems (FACTS). Versatile FACTS devices TCPS (Thyristor controlled phase shifter) and Static Synchronous Series Compensator (SSSC) are considered. In the solution process APSO coupled with IPM to keep the power flows within their security limits. This Hybrid OPF algorithm with FACTS effectively relieves line flow violations under different single line contingencies. Severity Index is used as an objective function to be minimized to improve the security of the power system. The efficiency of proposed algorithm is illustrated by carrying simulation studies on IEEE 30 bus system. This analysis reveals that the proposed algorithm is quite simple and efficient for solving OPF problem.
Biometric Identity Verification using Automatic Speaker Recognition

Password based Security Systems have to provide Authentication and Privacy. Strong privacy protected and high security authentication System design remains as an open problem because of the weak passwords. The fundamental problem in normal text-based passwords is that weak passwords are vulnerable to attacks and strong passwords creating problem for the user as he has to remember them with difficulty. Biometric features like passwords uttered by speakers are well suited for authentication, as this cannot be stolen or recreated and is unique to each individual. Biometric Identity Verification using Automatic Speaker Recognition is the neural network based process of automatically recognizing the user from a recording, using the text-dependent password uttered by speech. Here, Biometric identity verification is the speech that can be used to either accept or reject the identity claimed by a given user. Text supports user to remember the password when he forgets and also even when revealed to others it does not harm the system as it takes only voice password from authorized user. Voice is considered a valuable biometric feature which depends on the specific person's speaking style and physical attributes, and also it is very easy to collect and process speech data. The capacity of proposed security framework is to have a framework that will just open after perceiving a voice secret word talked by the watchword holder utilizing an Artificial Neural Network.
Optimal ordering technique for performance improvement of MIMO-OFDM system using V-BLAST algorithm

Nowadays In wireless communication Multiple Input Multiple Output (MIMO) system has been became very popular technique. In this paper we describes the performance of the MIMO-OFDM system in terms of Bit Error Rate (BER) versus Signal to Noise Ratio (SNR) for a Zero Forcing (ZF) equalizer with and without optimal ordering in BPSK modulation technique with Rayleigh fading channel.
High speed Square Root Carry Select Adder using MTCMOS D-Latch in 45nm technology

In the research area of VLSI system design the Adders have always been the fundamental requirements for high performance processors and multi-core devices. On the basis of area, delay and power consumption, different adder circuits are proposed but the trade off between these performance metrics forces to choose the efficient circuits for data path design. This Proposed Structure is based on the Multi-Threshold CMOS (MTCMOS) based D-Latch instead of using Binary to Excess-1(BEC) or (Ripple Carry Adder)RCA for C in =0. This work has been evaluated for 8-bit Square Root Carry Select Adder (SQRT CSLA) in terms of delay and power in Cadence Virtuoso environment 45nm CMOS process technology in room temperature with supply voltage 1volt. D-Latch based circuit has reduced Delay of 42.21% where as proposed MTCMOS based D-latch based circuits has 50.27% delay minimization as compared to BEC converter based SQRT CSLA. There is 13.94% delay and the 5.70% power have been reduced in MTCMOS D-Latch circuits when compared with the D-Latch based SQRT CSLA.
A hybrid Cat Swarm Optimization with invasive weed optimization

Cat Swarm Optimization (CSO) is a recent meta-heuristic optimization algorithm to obtain a global optimal solution. Sometimes the standard CSO converges to an optimal solution slowly and may not obtain the accurate solution. To avoid these drawbacks, Invasive weed optimization (IWO) is added to the CSO in tracing mode.
Speed control of three-phase induction motor drives using automatically sensing controller based on fuzzy logic

In this paper we are conveying a new method for speed control system for induction motor which is based on fuzzy logic instead of obsolete indirect vector control using PI controller as a speed regulator in outer speed loop. In obsolete method for speed control system of a induction motor drive uses a voltage source pulse width modulation inverter-fed vector controlled indirectly which is having low precision for the speed control giving bad speed regulation characteristics and decreasing the performance of the whole induction motor drive. To prevail over this PI controller by a automatically sensing fuzzy control system which is based on fuzzy set theory. The execution of this automatically sensing fuzzy control system can be inquired through digital simulation which is based on MATLAB-SIMULINK package. By using this digital simulation system the performance of fuzzy control system can be seen by creating variable operating conditions by varying reference speeds and at different load torques. Consequences of this digital simulation system shows improved performance characteristics of the suggested fuzzy control system over the obsolete PI controller as a speed regulator in outer speed loop
Comparative analysis of PID controller for an automatic voltage regulator system

This paper presents the design and performance analysis of proportional integral derivative (PID) controller for the Automatic Voltage Regulator (AVR) system using multi objective non dominated sorting genetic algorithm-II(NSGA-II). The results obtained by this method are compared with the recently published results. The superiority of the proposed system is stated in terms of the reduced settling time and maximum peak over shoot by comparing with Artificial Bee Colony (ABC) algorithm, Partical Swarm Optimizatio (PSO) algorithm, Differential Evolutionary (DE) algorithm, Many Optimizing Liaisons (MOL) algorithm. The Automatic Voltage Regulator (AVR) is widely used in electrical power system to obtain the stability and good regulation. The characteristics of alternator output required power transfer at constant voltage and constant current. The Automatic Voltage Regulator maintains the constant voltage up to certain level of load current independently of generator speed and load. This paper also deals with the robustness analysis of the AVR system tuned by NSGA-II algorithm is performed by varying the time constants of amplifier, exciter, generator and sensor in the range of −50% to +50% insteps of +25%.
Distributed Generation based Unified Power Quality Conditioner

Distributed Generation (DG) source in a power system is used in direct and indirect modes. Direct mode includes the application of DG during source outage, for voltage profile improvement, etc. In the indirect mode, DG is used in conjunction with a static compensator like Unified Power Quality Conditioner (UPQC), Dynamic Voltage Restorer (DVR) for improvement of power quality. The purpose of the DG in the indirect mode is, it supplies real power required by the static compensator: either for the compensator itself (for internal losses) or to supply to the grid /load connected to the compensator. This paper deals with indirect mode of DG. And the static compensator used is UPQC. The overall system is named as Distributed Generation based Unified Power Quality Conditioner (DGUPQC) and is proposed for compensation of voltage sag and reactive power at the supply/source and load side respectively. The above said operations have been implemented on a (novel) mathematical model of the DGUPQC; which is a Multi-Input-Multi-Output (MIMO) system. The control of DGUPQC, comprises of speed, DC link voltage, and injected voltage/reactive power control, and is performed by conventional Proportional-Integral (PI) controllers. Simulation studies have been carried in Matlab/Simulink and the results shows excellent performance of the DGUPQC.
Simulation of Four Switch Three Phase Inverter fed Synchronous Reluctance Motor (SRM)

This paper proposes a vector control of Synchronous Reluctance Motor (SRM) which is fed from a Four Switch Three Phase Inverter (FSTPI) instead of Six Switch Three Phase Inverter (SSTPI). For any three phase inverter require six switches, but these switches are reduced to four. This reduction of power switches from six to four improves the reliability of the inverter, size of the inverter is reduced and cost of the inverter is also reduces. The SRM stator flux and its position to process the speed error of the SRM is estimated by the control system. The proposed drive system is developed by simulation model. The switching for the inverter is given by using the two independent hysteresis current controllers with a suitable hysteresis band. SSTPI-fed SRM and FSTPI-fed SRM is compared in this paper. This system is tested under different conditions to find out the toughness. Simulation results show that the proposed system having a quicker speed response and the disturbance in the motor is also reduces.
Lapped transform domain SAR image despeckling using neighboring coefficients

In this paper, a SAR image despeckling algorithm based on Lapped transform(LT) is proposed. The motivation of using LT is that they are robust to oversmoothing and can better preserve the textural information present in the images. The dyadic rearranged lapped orthogonal transform (LOT) coefficient, of the logarithmically transformed reflectance, is modified using a shrinkage rule which uses the sum of squares of all the LOT coefficients within a squared neighborhood and Donoho's universal threshold. It is assumed that, a large dyadic rearranged LOT coefficient in a subband will usually have large coefficients in its neighbourhood. The proposed algorithm employs a scaling factor for the Donoho's universal threshold to get better despeckling performance. Experimental results on real SAR images show that the proposed method outperforms several well known despeckling methods and can achieve both the speckle reduction and texture preservation simultaneously with much less computational complexity.
Fuzzy rule based classification of human spermatozoa

Infertility is one of the major problems in human being. Sperm morphology is one of the evaluation techniques for male infertility. The aim of this paper is to perform sperm segmentation using image processing techniques and classification of sperm heads. The proposed system works on the digital images of sperm. The single Spermatozoa segmented into three parts Sperm Head, Sperm Mid Piece, and Sperm Tail. These images are processed and the sperm are segmented. The Features are extracted from segmented Images. The proposed method accurately segment sperm cells. The Fuzzy System used to classify the Sperm Head into normal and abnormal class using shape and area of sperm head.
Investigation of design, analysis and performance of hysteresis current control PMSM drive

This Paper presents investigation of design parameter, performance parameter and mathematical modeling of Permanent Magnet Synchronous Motor (PMSM) drive. For speed control of PMSM Field orientation Control(FOC) technique is used. For control algorithm, hysteresis current control method is employed for providing constant torque operation on load side. The aim of the PMSM drive is to have speed control over wide speed range with constant torque operation. Simulation results shows that the speed and current controller has a good dynamic response. Simulation has been done in MATLAB Simulink environment. The simulation consists of all realistic components and mathematic equation that enable the calculation of current and voltage in different parts of control algorithm. Hardware circuit is implemented using STM 32F processor and investigate the result obtain using MATLAB Simulink and hardware results.
Comparative study of image compression

In this paper, we present a comparative study of Synthetic Aperture Radar (SAR) image compression techniques which are very much help full for high speed communication. Images have some distinct properties when compared with the natural images. This paper outline the comparison of compression methods such as DCT, SADCT, Tri - DCT, Fractal image compression, JPEG-2000 with encoding and decoding techniques like Set Partition In Hierarchal Tree( SPIHT), set partition embedded block(SPECK), embedded zero tree block coder(EZBC).
Comparison of different PWM-VSI fed 3 Φ IM based on modulation index and switching frequency

The research in Pulse width modulation schemes has been intensive in the last couple of decades. PWM techniques have been used to achieve variable voltage and variable frequency in ac-dc and dc-ac converters. The inverter gives out better sinusoidal voltage and current, so the speed controls of machines are considered beneficial. But this is possible only when proper gating signals are provided to the inverters by PWM (Pulse Width Modulation) techniques. AC drives are more prominent than dc drives with Induction motors are mostly used in the industries. This paper discusses the performance analysis of the Voltage source inverter fed induction motor using PWM techniques on the basis of phase current of inverter, rotor and stator current, speed, electromagnetic torque developed and total harmonic distortion in line and phase voltage of the inverter for under modulation range. (MATLAB/Simulink) software has been used for the implementation of these techniques. The comparison of the main theories behind three-phase generation of SPWM, THIPWM, and SVPWM has been discussed. These three techniques are used to generate their respective output PWM signals, which are then compared, based on harmonic content and distortion using the total harmonic distortion (THD) measure of various output voltages, stator current and rotor current of the inverter feeding to the Induction Motor.
Gesture recognition based interactive car game

In this paper a gesture recognition based interface for a PC racing game called “Car Drifting”. We have developed the four skeleton gestures which will help us to interact with the computer to play car drift game using Kinect sensor. The interactive version of the game will recognize the body skeleton gesture as per the angle of hand skeleton gesture it will take command or input to the system to play game. We have implemented the game as playable and enjoyable using Kinect sensor. In our System we have introduced four gestures namely Forward, Right, Left and Normal and it will perform the operation with a slight delay. These gestures operations are checked in different scenarios with respect to distance and light intensities. We have confirmed that the interactive version of the car drifting game using a gesture recognition based interface is more real and exciting to play than the keyboard based game.
Reliability analysis of Voltage source inverter and Current source inverter for solar PV System

To meet increasing Energy demand, depleting Fossil Fuel and environmental problems caused by conventional power generation, renewable energy sources such as solar photovoltaic (PV) are becoming more attractive alternatives to replace conventional generation. Power electronic systems are essential to utilize and develop renewable energy sources. In solar PV applications, utilizing maximum power from the source is one of the most important functions of the power electronic systems. The proposed work presents the comparison of Voltage Source Inverter (VSI) and Current Source Inverter (CSI) with MOSFET and IGBT then THDs and Reliability of the PV inverters for solar systems are measured. Reliability Curves and MTBF plots are studied, simulated and analyzed. The simulation of the system is carried out in the MATLAB environment.
A review on circulating current suppression control, capacitor voltage balancing and fault analysis of modular multilevel converters

Modular multilevel converters (MMCs) have proven to be the state-of-art technology due to their distinctive advantages such as low harmonic content, reduced losses, modularity and flexibility in converter design. Despite of several advantages, there are few operational challenges such as circulating current suppression control, capacitor voltage balancing and fault tolerant operation which need to be addressed. This paper presents a comprehensive review on basic operation of MMC along with different control strategies.
Treatment Planning in Radiation Oncology, 2nd Edition

The first edition of Faiz Kahn’s book The Physics of Radiation Therapy was published in 1984. Since that time, it has become a standard reference in the field, with revisions in 1993 and 2003. This latest edition, with copyright date 2010, comes a little earlier than the previous 9to 10-year cycle would predict but reflects a need created by rapid evolution in our specialty. This book has long been the fodder of medical physicists but is written in a fashion that is easy to understand by anyone involved in the field of radiation therapy. Radiation oncologists, therapists, and dosimetrists could all benefit from reading parts or all of it, as they see fit. Our field has made dramatic advances in the past few years, with improvements in treatment targeting, as well as significant changes in accepted fractionation schemes. The recent spate of changes prompted Dr. Kahn to revise his textbook with modifications of every chapter, as well as two new chapters. One striking change is the inclusion of color in the text as well as tables. Many of the graphs are more easily interpreted with colored series and legends. One example of the chapter modifications is in the section titled ‘‘Quality Assurance. ’’ There are new paragraphs that involve quality assurance of both multileaf collimators and onboard imaging devices. These elements of modern treatment systems are becoming ubiquitous and need a new level of effort in terms of operational verification. Another example of an update to keep the book current appears in the chapter on radiation protection. Part of this chapter details Nuclear Regulatory Commission mandates pertaining to the use of radioactive materials in the healing arts. The material in 10CFR35 has been recently modernized, and the new changes are spelled out in this edition. The new chapters for this edition cover image-guided radiation therapy and proton beam therapy. The image-guided radiation therapy chapter covers the following:
Group Sparse Recovery via the $\ell ^0(\ell ^2)$ Penalty: Theory and Algorithm

In this paper, we propose and analyze a novel approach for group sparse recovery. It is based on regularized least squares with an ℓ0 (ℓ2) penalty, which penalizes the number of nonzero groups. One distinct feature of the approach is that it has the built-in decorrelation mechanism within each group, and thus, can handle challenging strong inner-group correlation. We provide a complete analysis of the regularized model, e.g., existence of a global minimizer, invariance property, support recovery, and properties of block coordinatewise minimizers. Further, the regularized problem admits an efficient primal dual active set algorithm with a provable finite-step global convergence. At each iteration, it involves solving a least-squares problem on the active set only, and exhibits a fast local convergence, which makes the method extremely efficient for recovering group sparse signals. Extensive numerical experiments are presented to illustrate salient features of the model and the efficiency and accuracy of the algorithm. A comparative study indicates its competitiveness with existing approaches.
A Factor-Analytic Approach to Knowledge Areas Used in Human Factors Positions

In a rapidly changing world, human factors professionals continue to debate how the field can best leverage itself for the future (Howell, 1994). It has been suggested that human factors students and practitioners should broaden their knowledge domain in order to conquer future challenges (Howell, 1994). Preparing our students to face the challenges they will inevitably meet in the workplace involves gathering data concerning what knowledge human factors professionals use on the job, identifying where there may be gaps in the educational curricula, and predicting what areas may become increasingly important in the future. Attempts have been made to gather data concerning the tasks performed and knowledge used by human factors professionals (Van Cott & Huey, 1992). However, recent changes occurring in the field, such as an increased focus on HCI and safety, demand the need to update what is known about the necessary competencies (knowledge, skills, and abilities) needed to perform human factors jobs. In an attempt to gain an understanding of these knowledge requirements, a job analysis approach was used to gain information about the knowledge requirements of human factors professionals.
OCB: A block-cipher mode of operation for efficient authenticated encryption

We describe a parallelizable block-cipher mode of operation that simultaneously provides privacy and authenticity. OCB encrypts-and-authenticates a nonempty string M ∈ {0, 1}* using ⌈&vertbar;M&vertbar;/n⌉ + 2 block-cipher invocations, where n is the block length of the underlying block cipher. Additional overhead is small. OCB refines a scheme, IAPM, suggested by Charanjit Jutla. Desirable properties of OCB include the ability to encrypt a bit string of arbitrary length into a ciphertext of minimal length, cheap offset calculations, cheap key setup, a single underlying cryptographic key, no extended-precision addition, a nearly optimal number of block-cipher calls, and no requirement for a random IV. We prove OCB secure, quantifying the adversary's ability to violate the mode's privacy or authenticity in terms of the quality of its block cipher as a pseudorandom permutation (PRP) or as a strong PRP, respectively.
Time-Space Optimal Parallel Merging and Sorting

The authors present a parallel merging algorithm that, on an exclusive-read exclusive-write (EREW) parallel random-access machine (PRAM) with k processors merges two sorted lists of total length n in O(n/k+log n) time and constant extra space per processor, and hence is time-space optimal for any value of k >