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检索条件"主题词=Software Algorithms"

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FPGA Architecture To Enhance Hardware Acceleration for Machine Learning Applications

FPGA Architecture To Enhance Hardware Acceleration for Machi...

引用

International Conference on Computing Methodologies and Communication (ICCMC)

作者： Anirudh Itagi S Krishvadana K P Bharath M Rajesh Kumar Alumni School of Electronics Engineering Vellore Institute of Technology Vellore TN School of Electronics Engineering Vellore Institute of Technology Vellore TN

Many algorithms have been developed in the field of Machine learning and its sub-fields such as neural networks, Deep learning and so on, for applications such as pattern classification, image and video processing, statistical data mining and so forth. These algorithms perform such tasks with remarkable accuracy. However, when implemented in traditional processor core software, many of these algorithms get choked when the size of the network or computational demand of the algorithm scales up. FPGAs and ASICs offer higher computation capability, throughput and bandwidth. Features such as massive parallel processing, high performance and reliability, are strong arguments for FPGAs for Deep Neural Network applications. FPGAs offer reconfigurable, flexible architectures where even the most popular GPUs fall short. This paper proposes a robust, re-configurable architecture for deploying Machine learning algorithms and presents its advantages by implementing a Neural Network in an FPGA and comparing its results with an implementation in a Raspberry Pi.

关键词： Machine learning algorithms software algorithms Neural networks Computer architecture Throughput software Classification algorithms

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A New Method for Measuring Leveling Heights Using Computer Vision Techniques

A New Method for Measuring Leveling Heights Using Computer V...

引用

International Conference on Computer, Control, Electrical, and Electronics Engineering (ICCCEEE)

作者： Mohammed Aldalil University of Khartoum Khartoum Sudan

The levels and leveling techniques have developed over the last decades. The development of level instruments started with the appearance of precise levels, they are precise instruments used for precise leveling. The operation of digital levels is based on the digital processing of video indications of a coded staff. A new method for measuring leveling heights using computer vision techniques is proposed in this paper. The methodology implementation comprises capturing an image of a metric staff using a digital camera, then the height is computed by processing the image using a developed algorithm. The algorithm consists of two major steps. In the first step, the implemented software computes the meter and tenth of meter height values through recognizing numbers in the image. Then, it computes the rest of the decimal part digits from the coordinate difference between the image's middle row (reading line) and E shape's (or its mirror image) end row. The proposed algorithm works well for the tested precisions (1, 0.1, and 0.01milimeters), also it can measure the heights from a distance up to more than 100m. The testing results indicate that the measurement algorithm is workable and can be used as a low-cost alternative to the barcoded staff digital levels.

关键词： Meters Computer vision software algorithms Loading Electric variables measurement Process control Digital cameras

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Exploit Company Knowledge from Graphs with Banda Calculus

Exploit Company Knowledge from Graphs with Banda Calculus

引用

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

作者： Gian Paolo Jesi Andrea Odorizzi Gianluca Mazzini Lepida ScpA Bologna Italy

This paper focuses on our novel web application aimed to tackle a specific company need. Essentially, we need to verify whether the available bandwidth between any node over the Lepida ScpA Regional fiber optics network corresponds to active contractual obligations signed by local network operators. This is the key factor that must be quickly addressed in order to provide a high quality service. Before the introduction of our tool, this process has been carried out manually and it was highly time consuming. This tool is grounded on a previous work in which we developed the basic techniques that crystallized in a first prototype implementation. Here instead, we discuss our production application which significantly reduced the time required to calculate the available band and adopted an improved algorithm capable of dealing with complex topological scenarios which could not be address by the previous approach.

关键词： Optical fibers Knowledge engineering software algorithms Prototypes Companies Production Tools

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Performance Comparison of ECDH and ECDSA

Performance Comparison of ECDH and ECDSA

引用

International Conference on Electronics, Communications and Information Technology (CECIT)

作者： Martin Koppl Dmytro Siroshtan Milos Orgon Stefan Pocarovsky Antonin Bohacik Karel Kuchar Eva Holasova FEI Slovak University of Technology Bratislava Slovakia FEKT Brno University of Technology Brno Czech Republic

ISBN: (纸本)9781665437585

Elliptic curve cryptography is the current standard for public key cryptography and it is also promoted by the National Institute of Standards and Technology (NIST) as the best way to ensure private communication between parties. It can be used to create faster, smaller, and more efficient encryption keys. It allows to transfer keys using elliptic curve mathematics. Smaller key sizes mean smaller requirements for hardware units performing arithmetic operations on the required cryptographic protocols. The content of this paper is a comparison of time intervals of key processes in the creation of ECDH (Elliptic Curve Diffie-Hellman) and ECDSA (Elliptic Curve Digital Signature Algorithm) algorithms.

关键词： Elliptic curves Operating systems software algorithms NIST Time measurement Hardware Information and communication technology

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Research of Distributed Data Processing in Corporate Information Systems

Research of Distributed Data Processing in Corporate Informa...

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International Conference on CAD Systems in Microelectronics (CADSM)

作者： Mykhailo Klymash Ihor Chaikovskyi Nataliia Syvkova Olena Hordiichuk-Bublivska Marian Kyryk Lviv Polytechnic National University Lviv Ukraine O.S. Popov Odessa National Academy of Telecommunications Odessa Ukraine

ISBN: (数字)9781665438940

ISBN: (纸本)9781665446051

This article presents the results of research on the features and development of distributed information systems technology. For that purpose, a distributed system based on Java technologies was implemented. A brief description of the concept and types of a distributed system, as well as an analysis of its architecture, is given. Also, the application of the singular decomposition algorithm for processing user data in corporate systems is proposed. To test the proposed methods of data processing built a software model of a distributed system using the Java programming language and performed a comparison of the duration of data processing by users' preferences of films. The obtained results testify to the advantages of using distributed systems for more efficient data processing of large volumes and improving the quality of service provision in corporate systems.

关键词： Solid modeling Java software algorithms Data processing software Data models Sparks

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Tuning Multi Object Tracking Systems using Bayesian Optimization

Tuning Multi Object Tracking Systems using Bayesian Optimiza...

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International Conference on Information Fusion

作者： Tobias Fleck J. Marius Zoellner FZI Research Center for Information Technology Karlsruhe Germany

ISBN: (纸本)9781665414272

Tracking-by-Detection has become the major paradigm in Multi Object Tracking (MOT) for a large variety of sensors. Regardless of the type of tracking system, hyper parameters are often chosen manually instead of doing a structured search to reveal the full potential of the *** this work we tackle this problem by utilizing Bayesian Optimization (BO) to tune tracking systems, enabling to find the best combination of hyper parameters for Gaussian Mixture Probability Hypothesis Density Trackers (GM-PHD) in two different tracking applications. We use the Tree-structured Parzen Estimator (TPE) algorithm [1] [2] with an Expected Improvement (EI) acquisition function as a blackbox optimizer. TPE supports to conveniently incorporate domain expert knowledge by modeling prior probability distributions of the search space. In our experiments we use the popular MOTA metric as optimization *** is performed in a simulation scenario with an in depth discussion of the found parameters and a real world example that uses the MOT-20 challenge dataset [3] demonstrates the unconditional applicability of the approach. We finish with a conclusion on Bayesian Optimization for MOT systems and future research.

关键词： Uncertainty software algorithms Detectors Tools Search problems software Bayes methods

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Medical Imaging-based Techniques for Alzheimer's Disease Detection: A Survey

Medical Imaging-based Techniques for Alzheimer's Disease Det...

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IEEE SSD International Multi-Conference on Systems, Signals and Devices

作者： Marwa Zaabi Nadia Smaoui Walid Hariri Houda Derbel CEM Laboratory ENIG Gabes University Tunisia CEM Laboratory ENIS Sfax University Tunisia Labged Laboratory Badji Mokhtar Annaba University Algeria CEM Laboratory FSS Sfax University Tunisia

Alzheimer's disease (AD) detection corresponds one of the most powerful and challenging tasks in medical imaging processing. This paper describes the survey of recent AD detection techniques in the last ten years. The process of AD detection can include different stages such as preprocessing, feature extraction, feature selection, dimensionality reduction, segmentation and classification. In this survey, we review the recent findings and future trends and we set out the various types of AD detection techniques with their major contributions. The performances of the most important AD detection techniques are compared and discussed according to the applied algorithms, approaches and databases (e.g. OASIS, ADNI and MIRIAD).

关键词： software algorithms Feature extraction Market research software Real-time systems software reliability Alzheimer's disease

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Design of a Remote Meeting Real-Time Attendance System Based on the YOLO Algorithm

Design of a Remote Meeting Real-Time Attendance System Based...

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Industrial Application of Artificial Intelligence (IAAI), IEEE International Conference on

作者： Yanhua Zhang China University of Labor Relations Beijing China

ISBN: (纸本)9781665465816

Aiming at the problems of poor performance and inaccurate identification of the current real-time attendance system for remote conferences, a design method of a real-time attendance system based on the YOLO algorithm is proposed. First, the hardware configuration of the system is optimized to improve the performance of real-time clock-in monitoring and ensure the stability of the system. The system software function and operation flow are optimized to improve the system operation efficiency and recognition accuracy. Finally, the experiment proves that the real-time attendance system based on the YOLO algorithm can better guarantee the system performance and precision in practical applications and fully meet the research requirements.

关键词： Smart cards Systems operation System performance Punching software algorithms Standardization Real-time systems

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The Predator’s Purpose: Intention Perception in Simulated Agent Environments

The Predator’s Purpose: Intention Perception in Simulated A...

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Congress on Evolutionary Computation

作者： Amani R. Maina-Kilaas Cynthia Hom Kevin Ginta George D. Montañez AMISTAD Lab Harvey Mudd College Claremont CA USA Math and Computer Science Biola University La Mirada CA USA

We evaluate the benefits of intention perception, the ability of an agent to perceive the intentions and plans of others, in improving a software agent’s survival likelihood in a simulated virtual environment. To model intention perception, we set up a multi-agent predator and prey model, where the prey agents search for food and the predator agents seek to eat the prey. We then analyze the difference in average survival rates between prey with intention perception—knowledge of which predators are targeting them—and those without. We find that intention perception provides significant survival advantages in almost all cases tested, agreeing with other recent studies investigating intention perception in adversarial situations and environmental danger assessment.

关键词： Analytical models Computational modeling software algorithms Virtual environments Evolutionary computation Predator prey systems software agents

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Image Quality Enhancement : A Linear Programming Approach

Image Quality Enhancement : A Linear Programming Approach

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Computational Performance Evaluation (ComPE), International Conference on

作者： Jagdish Chandra Patni Saurabh Agarwal Mohit Kumar Priyal Agarwal School of Computer Science University of Petroleum and Energy Studies Dehradun India

ISBN: (纸本)9781665436571

Picture improvement has been discovered to be perhaps the main vision applications since it can upgrade the computerized pictures with the goal that the outcomes are more appropriate for show or further picture examination. To work on the nature of computerized pictures there are remarkable strategies that have been proposed. The goal is to manage picture handling and its major strides after that we had zeroed in on the diverse picture upgrade procedures. Since picture clearness is effectively influenced by lighting, climate, or gear that has been utilized to catch the picture. These conditions lead to loss of data. The principle motivation behind picture improvement is to bring out detail that is covered up in a picture or to expand contrast during a low difference picture. It gives countless decisions for working on the visual nature of pictures. Its article is to dissect the specific picture attributes for examination, end and further use.

关键词： Performance evaluation Image quality Visualization Image coding software algorithms Lighting Linear programming

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