Security MATLAB Projects

A Practical Design and Implementation of a Low-Cost Platform for Real-Time Diagnostic Imaging using MATLAB

The emerging need for the current medical devices to achieve immediate visualization and performing diagnostic imaging at real time augurs the demand for high computational power of the associated electronic circuitry. The demand for such a high computational requirement is often met by using software methods to accelerate the computation, which is possible only to a certain extent, impairing the feasibility of real-time imaging and diagnosis. In this paper, a new method of using digital signal processors (DSPs) with a specialized pipelined vision processor (PVP) embedded at the hardware level to accelerate the routinely time-consuming imaging computation is proposed and validated. A lab prototype is built for the feasibility study and clinical validation of the proposed technique. This unique architecture of the PVP in a dual-core DSP offers a high-performance accelerated framework along with its large on-chip memory resources, and reduced bandwidth requirement provides as an ideal architecture for reliable medical computational needs. We have taken two sets sample studies from SPECT for validation-27 cases of thyroid medical history and 20 cases of glomerular filtration rate of kidneys. The results were compared with definitive post-scan SIEMENS image analysis software. From the statistical results, it is clearly shown that this method achieved very superior accuracy and 250% acceleration of computational speed.

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A Key Space Enhanced Chaotic Encryption Scheme for Physical Layer Security in OFDM-PON using MATLAB

In this paper, we propose a key space enhanced chaos-based encryption scheme with no requirement of redundant sideband information in an orthogonal frequency division multiplexing passive optical network (OFDM-PON). For the first time, a simple 1-D chaotic logistic map is employed to scramble the chaotic subcarrier allocation both in time/frequency domain and logical operation, which provides a huge key space to enhance the physical layer confidentiality. Due to the dynamic chaotic permutations, the largest key space is achieved in comparison with the reported encryption schemes in OFDM-PON. In addition, a ~10-Gb/s secure transmission with encrypted OFDM data is experimentally demonstrated over 25-km standard single-mode fiber. The proposed encryption scheme demonstrates the excellent security of data transmission in OFDM-PON and the robustness against exhaustive attacks.

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Color-Shift Keying and Code-Division Multiple-Access Transmission for RGB-LED Visible Light Communications Using Mobile Phone Camera using MATLAB

Light-emitting diodes (LEDs) have been deployed for various applications in our daily lives. Similarly, image sensors or cameras integrated into mobile phones have become common. Hence, visible light communication (VLC) using LED and mobile phone cameras is attractive and provides low-cost wireless communication. In this paper, we propose and demonstrate a VLC system using color-shift-keying (CSK) modulation and code-division multiple-access (CDMA) technology simultaneously for the first time; a mobile phone camera is used as the receiver (Rx). CSK is used to enhance the VLC system capacity and to mitigate the single color light interference, whereas CDMA allows multiple users to access the network. The system design and operation mechanism of the proposed CSK-CDMA VLC system are discussed. A proof-of-concept demonstration is performed, and error-free transmission is achieved for multiple-access users. A 3-dB transmission gain is also obtained in each user when compared with the traditional on-off keying (OOK) modulation.

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Five Decades of Hierarchical Modulation and Its Benefits in Relay-Aided Networking using MATLAB

Hierarchical modulation (HM), which is also known as layered modulation, has been widely adopted across the telecommunication industry. Its strict backward compatibility with single-layer modems and its low complexity facilitate the seamless upgrading of wireless communication services. The specific features of HM may be conveniently exploited for improving the throughput/information-rate of the system without requiring any extra bandwidth, while its complexity may even be lower than that of the equivalent system relying on conventional modulation schemes. As a recent research trend, the potential employment of HM in the context of cooperative communications has also attracted substantial research interests. Motivated by the lower complexity and higher flexibility of HM, we provide a comprehensive survey and conclude with a range of promising future research directions.

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Towards dynamic coordination among home appliances using multi-objective energy optimization for demand side management in smart buildings using MATLAB

In this paper, we propose a home energy management system that employs load shifting strategy of demand side management to optimize the energy consumption patterns of a smart home. It aims to manage the load demand in an efficient way to minimize electricity cost and peak to average ratio while maintaining user comfort through coordination among home appliances. In order to meet the load demand of electricity consumers, we schedule the load in day-ahead and real-time basis. We propose a fitness criterion for proposed hybrid technique, which helps in balancing the load during ON-peak and OFF-peak hours. Moreover, for realtime rescheduling, we present the concept of coordination among home appliances. This helps the scheduler to optimally decide the ON/OFF status of appliances in order to reduce the waiting time of appliance. For this purpose, we formulate our real-time rescheduling problem as knapsack problem and solve it through dynamic programming. This paper also evaluates the behavior of the proposed technique for three pricing schemes including: time of use, real-time pricing, and critical peak pricing. Simulation results illustrate the significance of the proposed optimization technique with 95% confidence interval.

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Artificial Bee Colony Algorithm-based Parameter Estimation of Fractional-order Chaotic System with Time Delay using MATLAB

It is an important issue to estimate parameters of fractional-order chaotic systems in nonlinear science, which has received increasing interest in recent years. In this paper, time delay and fractional order as well as system's parameters are concerned by treating the time delay and fractional order as additional parameters. The parameter estimation is converted into a multi-dimensional optimization problem. A new scheme based on artificial bee colony U+0028 ABC U+0029 algorithm is proposed to solve the optimization problem. Numerical experiments are performed on two typical time-delay fractional-order chaotic systems to verify the effectiveness of the proposed method.

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Software Tools and Simulators in the Education of Engineering of Telecommunications using MATLAB

The use of software tools and simulators in the education field has a growing interest in most of universities and educational procedures. Nowadays, in university education new technologies are used to improve and complement the theoretical concepts explained in class. In this paper we are going to present the simulation tools most used in Telecommunication Engineering at the Polytechnic University of Valencia. These programmes are also used in other fields such as in the industry and researching. After presenting the main characteristics of each software tool, a questionary study is included to analyze the benefits and drawbacks of each tool from the point of view of the student, its complexity and advantages for educational purposes.

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Analysis of Fix‐point Aspects for Wireless Infrastructure Systems using MATLAB

A large amount of today’s telecommunication consists of mobile and short distance wireless applications, where the effect of the channel is unknown and changing over time, and thus needs to be described statistically. Therefore the received signal cannot be accurately predicted and has to be estimated. Since telecom systems are implemented in real‐time, the hardware in the receiver for estimating the sent signal can for example be based on a DSP where the statistic calculations are performed.

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Techniques, Taxonomy, and Challenges of Privacy Protection in the Smart Grid using MATLAB

As the ease with which any data are collected and transmitted increases, more privacy concerns arise leading to an increasing need to protect and preserve it. Much of the recent high-profile coverage of data mishandling and public mis- leadings about various aspects of privacy exasperates the severity. The Smart Grid (SG) is no exception with its key characteristics aimed at supporting bi-directional information flow between the consumer of electricity and the utility provider. What makes the SG privacy even more challenging and intriguing is the fact that the very success of the initiative depends on the expanded data generation, sharing, and pro- cessing. In particular, the deployment of smart meters whereby energy consumption information can easily be collected leads to major public hesitations about the tech- nology. Thus, to successfully transition from the traditional Power Grid to the SG of the future, public concerns about their privacy must be explicitly addressed and fears must be allayed. Along these lines, this chapter introduces some of the privacy issues and problems in the domain of the SG, develops a unique taxonomy of some of the recently proposed privacy protecting solutions as well as some if the future privacy challenges that must be addressed in the future.

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Visible and Mid-Infrared Supercontinuum Generation and their Respective Application to 3D Imaging and Stand-off Reflection Spectroscopy using MATLAB

The thesis describes broadband supercontinuum (SC) generation in optical fibers for both the visible and mid-infrared regions of the spectrum, and their respective application to 3D imaging and stand-off reflection spectroscopy. Both SC sources leverage mature telecom technology, and are based on a common all-fiber integrated platform comprising a ~1.55 micron distributed feedback seed laser diode amplified to high peak powers in two stages of cladding pumped Erbium or Erbium-Ytterbium fiber amplifiers. A visible SC extending from 0.45-1.20 microns with 0.74 W of time-averaged power is demonstrated using a two step process. The output of the Er-Yb power amplifier is frequency doubled to ~0.78 micron using a periodically poled lithium niobate crystal, followed by non-linear spectral broadening in 2m of high nonlinearity photonic crystal fiber. Numerical simulations based on solving the generalized non-linear Schr??dinger equation are also presented to verify the underlying SC generation mechanisms and predict further improvements. The above SC source is used in a Fourier domain line scan interferometer to measure the height and identify shape defects of ~300 micron high solder balls in a ball grid array. The 3D imaging system has an axial resolution of ~125 nm, transverse resolution of ~15 microns, and an angular measurement range between 20 to 60 degrees depending on the sample surface roughness. The mid-infrared SC source is generated by pumping a 9m long ZrF4-BaF2-LaF3-AlF3-NaF (ZBLAN) fiber to obtain a spectrum spanning 0.8-4.3 microns with 3.9 W time-averaged power. The output power is linearly scalable with pump power, but requires optimization of the critical splices and thermal management of the gain fiber and pump diodes to ensure stable high power operation. Finally, an application of the mid-IR SC is demonstrated by measuring the diffuse reflection spectra of solid samples at a stand-off distance of 5 m and 100 ms integration time. The samples can be distinguished using a correlation algorithm based on distinct spectral features in the reflection spectrum. Signal to noise ratio calculations show that the distance is limited by space constraints in our lab and can be extended to ~150 m.

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Design and Evaluation of a Discrete Wavelet Transform based Multi-Signal Receiver using MATLAB

General purpose receivers of today are designed with a broad bandwidth so that the receiver can accept a wide range of signal frequencies. These receivers usually accept one signal along with an y interference that is included. To increase the signal detection capabilities of the wide band receiver, a design for a receiver that can detect two signals is needed.

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Speech Recognition with Dynamic Time Warping using MATLAB using MATLAB

Speech recognition has found its application on various aspects of our daily lives from automatic phone answering service to dictating text and issuing voice commands to computers. In this paper, we present the historical background and technological advances in speech recognition technology over the past few decades. More importantly, we present the steps involved in the design of a speaker-independent speech recognition system. We focus mainly on the pre-processing stage that extracts salient features of a speech signal and a technique called Dynamic Time Warping commonly used to compare the feature vectors of speech signals. These techniques are applied for recognition of isolated as well as connected words spoken. We conduct experiments on MATLAB to verify these techniques. Finally, we design a simple ‘Voice-to-Text’ converter application using MATLAB.

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Generating an Isolated Word Recognition System Using Matlab using MATLAB

MATLAB’s straight forward programming interface makes it an ideal tool for speech analysis. In this work, experience was gained in general MATLAB programming. A basic speaker recognition algorithm has been written to sort through a rule base in MATLAB and choose the one most likely match based on the predefine time frame of the speech utterance. Speech communication has evolved to be efficient and robust and it is clear that the route to computer based speech recognition is the modeling of the human system. Speaker dependent speech recognition is therefore an engineering compromise between the ideal, i.e. a complete model of the human, and the practical, i.e. the tools that science and technology provide and that costs allow the modeling of the human system.

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Speech Recognition Using Correlation Technique using MATLAB

The growth in wireless communication and mobile devices has supported the development of Speech recognition systems. So for any speech recognition system feature extraction and patter matching are two very significant terms. In this paper we have developed a simple algorithm for matching the patterns to recognize speech. We used Mel frequency cepstral coefficients (MFCCs) as the feature of the recorded speech. This algorithm is implemented simply by using the principle of correlation. All the simulation experiments were carried out using MATLAB where the method produced relatively good results. This paper gives a details introduction of recorded speech processing, design considerations and evaluation results.

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Direct Detection in Optical Communication Using Intensity Modulation using MATLAB

Optical wireless communication (OWC) refers to communication through an unguided medium using modulated light. In this paper, the performance of OWC systems employing intensity modulation and direct detection (IM-DD), established by modulating light intensity at the source and using an intensity detector at the destination is proposed. The capacity of the intensitymodulation direct-detection optical broadcast channel (OBC) is investigated, under both average and peak intensity constraints. An outer bound on the capacity region is derived by adapting Bergmans’ approach to the OBC. Inner bounds are derived by using superposition coding with either truncated-Gaussian (TG) distributions or discrete distributions. At high signal-to-noise ratio (SNR), it is shown that the TG distribution is nearly optimal.

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