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检索条件"主题词=Software Algorithms"

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Implementation of AES To Encrypt and Decrypt Speech Using LUT With Mux Gates

Implementation of AES To Encrypt and Decrypt Speech Using LU...

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International Conference on Advanced Computer Control, ICACC

作者： Kezia Teresa Augustine U Purushotham PES University Bangalore India

ISBN: (纸本)9781665439206

Cryptography has become a vital aspect of our life with or without our knowledge. It protects our data by ensuring that only the intended persons receive the *** of the most used and standardised cryptographic algorithms is the Advanced Encryption Standard (AES). The paper implements a system that makes the current AES cryptosystems more efficient with improved resource utilisation and delay. This is achieved by replacing the conventional S-box with a new S-box that makes use of Look-Up Table (LUT) made with Multiplexer (Mux) units. The input data to the system is chosen as a speech signal which is pre-processed using MATLAB. The AES algorithm is programmed using Verilog HDL. The algorithm is coded in Xilinx Vivado software. Simulation results of the conventional and proposed systems are taken and compared.

关键词： System performance software algorithms Logic gates software Table lookup Encryption Delays

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Evaluation of Design Optimisation Techniques in Structural Framing

Evaluation of Design Optimisation Techniques in Structural F...

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IEEE International Conference on Systems, Man and Cybernetics

作者： Luke Briese Timothy Mark Gregory Navid Mohajer Matthew Watson Shady Mohamed Saeid Nahavandi Institute for Intelligent Systems Research and Innovation Deakin University Australia

ISBN: (纸本)9781665442084

Structural design optimisation can significantly contribute to the identification of the best shape and geometry of a structure that results in lighter, stronger, and more affordable to manufacture materials for both large scale manufacturing and one-off bespoke performance components. Being both modern (evolutionary) and classic optimisation methods have had extensive focus and application in this field, an evaluation study on the performance of these methods has not been reported. This study reports a systematic comparison of the modern and classic optimisation approaches for a benchmark design optimisation problem. One algorithm will be a classic gradient-based optimisation, the second being a general Genetic Algorithm (GA) type optimisation. The results of two optimisation methods will be compared through the application of Finite Element Analysis (FEA) to evaluate both the performance of each algorithm and the real word translation of their effectiveness. The outcomes reveal that, although the gradient-based method shows better statistical results, GA can result in a superior minimum FoS of 3.5 satisfying the requirements for most common structural design applications.

关键词： Systematics Welding software algorithms Optimization methods Benchmark testing software Finite element analysis

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Metal Artifact Reduction based on 2D-Projection Correction for Dental Cone-beam CT Images

Metal Artifact Reduction based on 2D-Projection Correction f...

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Biomedical Engineering International Conference (BMEiCON)

作者： Walita Narkbuakaew Sorapong Aootaphao Chalinee Thanasupsombat Saowapak S. Thongvigitmanee Medical Imaging System Research Team Assistive Technology and Medical Devices Research Center National Science and Technology Development Agency Pathumthani Thailand

ISBN: (纸本)9781665426282

Metal artifacts causing dark and bright streaks normally appears in CT or CBCT data when a metallic object is embedded inside a field of view (FOV). These artifacts degrade image quality and distort anatomical structures. To solve this problem, we present a new metal artifact reduction (MAR) method. The proposed method was based on correction of 2D raw projection data and implemented as a plug-in of the reconstruction software. To accelerate computation, the proposed method used C++ and CUDA language to operate on graphic processing units (GPUs). We applied the proposed method to several dental CBCT data and executed the proposed method with full and short-scan CBCT reconstruction algorithms. The results showed that the proposed method obviously reduced the metal artifact, performed quickly, and collaborated well with both reconstruction algorithms.

关键词： Image quality Computed tomography software algorithms Metals Graphics processing units Implants Reconstruction algorithms

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YOLOv5 based Open-Source UAV for Human Detection during Search And Rescue (SAR)

YOLOv5 based Open-Source UAV for Human Detection during Sear...

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International Conference on Advanced Computer Control, ICACC

作者： M S Sruthi Manal Jaleel Poovathingal V N Nandana S Lakshmi Mohamed Samshad V S Sudeesh Govt. Engineering College Thrissur Thrissur India ICFOSS Thiruvanathapuram India

ISBN: (纸本)9781665439206

Floods and earthquakes are among the most frequently occurring natural disasters. They account for high mortality rates due to their rapidness and uncertainty of occurrence. Inundated lands require a quick response for rapid evacuation, arresting fatalities, and consequential economic losses. People tend to seek shelter at dry and open lands at times of calamity. The manual Search and Rescue (SAR) operations have their shortcomings due to the difficulties in identifying the human presence. It requires a longer time for evacuation and therefore increased mortalities. This paper proposes a quadcopter for real-time monitoring of isolated places and automatically detecting stranded humans during floods using image processing techniques at affordable rates. Live video streaming is possible with a camera and a video transmission system attached to the quadcopter. The rescue centers automatically receive the location of humans in case of human detection. Our model integrates an Open-Source autopilot system model, APM 2.8 multicopter flight controller that efficiently stabilizes the flight, and a YOLOv5 object tracking convolutional neural network algorithm for faster detection of human beings. The model is trained using a dedicated dataset of more than 1000 images and attains 0.954 mAP. We have developed a drone using open-source hardware and software tools, conducted test flights to check its stability and the efficiency of the object detection algorithm. We also conducted a mini-survey of one of the most flood-prone areas of Thrissur district in Kerala, using Mission Planner open-source software to evaluate how quickly our drone can assess the entire area. The aim is to save more human lives by quick and efficient aerial assessment in the most cost-efficient manner.

关键词： Uncertainty software algorithms Streaming media Cameras Real-time systems Hardware Floods

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Modeling, Simulation and Control of Close Formation Flight

Modeling, Simulation and Control of Close Formation Flight

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Chinese Automation Congress (CAC)

作者： Zheng Ruiping Shi Jingping Qu Xiaobo School of automation Northwestern Polytechnical University Xi'an China

ISBN: (纸本)9781665426480

In this paper, we focus on the aerodynamic characteristics of aircraft flying in tight formation. The formation model of a small unmanned aircraft is studied, and the disturbance of the wake induced velocity produced by the forward aircrafts on the tail aircraft is analyzed. It is found that the lead aircraft has a significant effect on uplift and drag on the trailing airplane. This has also demonstrated that the tail planes’ aerodynamic characteristics can be enhanced when the following plane is in the proper position of the leader in the tight formation flight. Precise position control of the tail plane in general flight operations is achieved under the influence of the tail vortex. First, the mathematical model of the leader's wake vortex was developed, and then two unmanned aerial vehicles (UAVs) were simulated using computational fluid dynamics (CFD) software to verify accuracy of this mathematical model. A control algorithm was designed to realize the stability of formation flight. Mathematical simulation and validation were performed. The designed control law is able to keep the tail plane in the appropriate position in the formation flight so that the tail plane is subjected to the maximum lift.

关键词： Computational fluid dynamics Heuristic algorithms Drag software algorithms Position control Lead Aerodynamics

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Evaluation of VANET Datasets in Context of an Intrusion Detection System

Evaluation of VANET Datasets in Context of an Intrusion Dete...

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International Conference on software, Telecommunications and Computer Networks (SoftCOM)

作者： Fábio Gonçalves Joaquim Macedo Alexandre Santos Algoritmi Center University of Minho Portugal

Vehicular Ad hoc Networks (VANETs) are the core of Intelligent Transportation Systems (ITS), allowing vehicles to communicate between themselves and with other entities. However, these are very complex networks with volatile architectures, ever-changing members, and multiple types of entities, making them an appealing target for attackers since they can find vulnerabilities and perform attacks with massive impact. The most common security approach is to use traditional tools that can help to prevent attacks. Nonetheless, sometimes attacks cannot be prevented, requiring the use of other tools. Intrusion Detection Systems (IDSs) can detect attacks and trigger a response to minimize their effects. IDSs can take advantage of Machine Learning (ML) algorithms to improve their performance, which are excellent at detecting deviations from patterns. However, these need large sets of data to be trained efficiently, but VANET datasets are a scarce resource. This work aims to evaluate the found publicly available datasets in the context of an IDS for VANETs in three stages: 1) First, evaluate the publicly available VANET datasets and gauge their usability in future works; 2) Then, as the datasets found available to the public are divided depending on the geographic region where they were obtained, assess the advantage of using multiple datasets to train an ML algorithm; 3) Finally, the IDS can be located in different network locations (vehicle, a cluster of vehicles, Road Side Unit (RSU), etc.), which directly influences their performance. The impact of the IDS location in the network is also to be studied. The ML algorithm used is the same across all the experiments, maintaining the same basis for all the tests, with the only variable being the dataset.

关键词： Machine learning algorithms Road side unit software algorithms Intrusion detection Clustering algorithms Tools software

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BIIR: Blind Inpainting based Image Reconstructon for Texture Defect Detection

BIIR: Blind Inpainting based Image Reconstructon for Texture...

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Big Data & Artificial Intelligence & software Engineering (ICBASE), International Conference on

作者： Yuanhong Qiu Cong Zhou Zefeng Zhang Bin Li School of Mechanical Science and Engineering Huazhong University of Science and Technology Wuhan China

ISBN: (纸本)9781665427104

Image reconstruction is an important method for texture defect detection, and the existing image reconstruction algorithms based on Autoencoder and GAN cannot suppress the reconstruction of defect information, which affects the detection accuracy. To solve this problem, this paper proposes a novel image reconstruction algorithm based on image inpainting, which includes two modules of defect estimation network and defect inpainting network. Firstly, the defect estimation network used the pre-training model to extract the deep features of the defect image and applied the Gaussian distance to estimate the background area. and then the image inpainting network applied the contextual attention mechanism to repair the non-background area of the defect image. Through the experimental analysis which compared with other state-of-the-art image reconstruction algorithms on the public Mvtec texture dataset, the superiority of the proposed algorithm is effectively verified.

关键词： software algorithms Estimation Maintenance engineering Feature extraction Generative adversarial networks Image reconstruction software engineering

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Tile-based Code Generation for Efficiently Accessing to Scratchpad Memory

Tile-based Code Generation for Efficiently Accessing to Scra...

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International Conference on Electronics, Information and Communications (ICEIC)

作者： Jaewook Lee Yoonah Paik Seon Wook Kim Korea University Seoul Republic of Korea

ISBN: (数字)9781728191614

ISBN: (纸本)9781728191621

Most accelerators have used scratchpad memory (SPM) as software-managed working storage. However, the large amount of data used in recent applications like deep learning is hard to fit in the limited storage. It causes a significant burden to a programmer who should efficiently software-manage the SPM. This paper introduces a tile-based code generation for efficiently managing and executing an SPM by modifying Polly's loop tiling in LLVM, i.e., a polyhedral optimization library. For the performance analysis, we analyze the SPM copy overhead depending on a tiling factor.

关键词： Deep learning software algorithms Memory management software Libraries Performance analysis Optimization

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4 DOFs High-Speed Pick and Place Delta Robot

4 DOFs High-Speed Pick and Place Delta Robot

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International Conference on Computer Engineering and Systems

作者： Peter Kozman Mohamed Hilmy Omar Makin Youssef Hammad Essam-Eldin Hagag Omar Ahmed George Ilias Mohammed I. Awad Shady A. Maged Faculty of Engineering - Mechatronics Ain Shams University Cairo Egypt

ISBN: (纸本)9781665408684

Integrating a vision module with a high-speed pick and place Delta robot to develop a dynamic system capable of operating on moving conveyors. Closed Loop Stepper Motors (Easy-Servo Motors) are used to drive the biceps carrying the end effector platform. The fourth degree of freedom is established using Servo Motor mounted on a Bevel Gear Mechanism to increase its speed. Frames are taken from the video stream of the vision module and passed into an algorithm that uses the Sobel Edge Detection technique through OpenCV APIs. The image processing produces the coordinates of the products referred to the vision origin frame, type of product, and the orientation for sorting. Transformation and inverse kinematics are used before obtaining the motion profile behavior. Various trajectory control approaches are discussed along with the communication protocols available that proved best to our system. Vision and control algorithms are developed in Python Programming Language. The Motor drivers receive their input controller from a microcontroller based on ARM-Cortex M4 using Embedded C Programming Language. Experimental results concluded that the prototype could reach 100 parts per min accurately and consistently. Further approaches are discussed regarding the bottlenecks and how to increase the speed of the robot.

关键词： Uniform resource locators Protocols Trajectory planning Robot kinematics software algorithms Streaming media Time measurement

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Distribution Feeder Reconfiguration Algorithm for Electrical Outage Situations

Distribution Feeder Reconfiguration Algorithm for Electrical...

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International Conference for Convergence of Technology (I2CT)

作者： B.L.N.S.S Liyanarathne A.K.V Gunasekara D.V.A.V.Y Senarathna W.C.M Perera P.S.N de Silva H.M.A.I Herath General Sir John Kotelawala Defence University Rathmalana Sri Lanka Lanka Electricity Company Private Limited Colombo Sri Lanka

Feeder reconfiguration is a multi-objective process that modifies the topology of the network. This study aims to develop algorithms for distribution feeder reconfiguration during electrical outage situations to improve the reliability of the medium voltage distribution network. Matrix row/column operations are performed on the connection matrix of the graphical network model based on the incidence matrix for finding reconfiguration paths. Modern distribution networks consist of switching devices equipped with remote terminal units (RTU), that sense abnormal conditions and respond remotely. algorithms are designed to coordinate with RTU operations. The demand, which is forecasted using past current data taken from RTUs periodically, is compared with the calculated capacity of the adjacent feeders using an objective function, applying constraint conditions multiplied by weighting factors. Load shedding is performed when the total load exceeds the capacity. Radiality of the network and the safety of operation are ensured throughout the process. algorithms were tested using a prototype software and a demonstration network panel. 11kV overhead distribution network was taken as the case study. The speed of the process was compared with data collected from utility and effective results were observed.

关键词： software algorithms Prototypes Distribution networks Switches Medium voltage Linear programming Reliability engineering

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