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检索条件"任意字段=7th International Conference on the Art, Science, and Engineering of Programming, Programming 2023"

共 1136 条记录，以下是401-410 订阅

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A new hybrid technique for dermatological image registration

A new hybrid technique for dermatological image registration

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7th IEEE international conference on Bioinformatics and Bioengineering, BIBE

作者： Huang, Heng Bergstresser, Paul Computer Science and Engineering Univ. of Texas Arlington TX United States Department of Dermatology Univ. of Texas Southwestern Medical Center

ISBN: (纸本)1424415098

Malignant melanoma is nowadays one of the most malignant tumors among white-skinned populations around the world. the key element in malignant melanoma treatment is the detection of melanomas and their changes at an early stage, before they develop irreversible clinically significant and potentially fatal damage to the patients. Computer automatic diagnosis of skin lesions using early symptoms would be particularly useful as an aid in primary care. During such computer systems, there is a significant clinical demand for accurate dermatological image registration. In this paper, we introduce a new algorithm for the registration of melanomas in successive dermatological image. We reduce the melanoma registration problem to a bipartite graph matching problem. the Voronoi cells are used to measure the similarity between melanomas and build the weighted bipartite graph. A minimum weight maximum cardinality matching is employed to find the global correspondences between dermatological images. Distances order and dynamic programming method are applied into the bipartite graph matching to preserve topology of melanoma distribution. the dermatoscopy images are used to validate the effectiveness of our approach. Since our method is a general registration method for melanomas, it can also be used in other dermatological images. ©2007 IEEE.

关键词： Image registration

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Energy-Aware Dynamic Resource Allocation in Container-Based Clouds via Cooperative Coevolution Genetic programming 26th

Energy-Aware Dynamic Resource Allocation in Container-Based...

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26th international conference on Applications of Evolutionary Computation, EvoApplications 2023, held as part of EvoStar 2023

作者： Wang, Chen Ma, Hui Chen, Gang Huang, Victoria Yu, Yongbo Christopher, Kameron HPC and Data Science Department National Institute of Water and Atmospheric Research Wellington New Zealand School of Engineering and Computer Science Victoria University of Wellington Wellington New Zealand

ISBN: (纸本)9783031302282

As a scalable and lightweight infrastructure technology, containers are quickly gaining popularity in cloud data centers. However, dynamic Resource-Allocation in Container-based clouds (RAC) is challenging due to two interdependent allocation sub-problems, allocating dynamic arriving containers to appropriate Virtual Machines (VMs) and allocating VMs to multiple Physical Machines (PMs). Most of existing research works assume homogeneous PMs and rely on simple and manually designed heuristics such as Best Fit and First Fit, which can only capture limited information, affecting their effectiveness of reducing energy consumption in data centers. In this work, we propose a novel hybrid Cooperative Coevolution Genetic programming (CCGP) hyper-heuristic approach to automatically generate heuristics that are effective in solving the dynamic RAC problem. Different from existing works, our approach hybridizes Best Fit to automatically designed heuristics to coherently solve the two interdependent sub-problems. Moreover, we introduce a new energy model that accurately captures the energy consumption in a more realistic setting than that in the literature, e.g., real-world workload patterns and heterogeneous PMs. the experiment results show that our approach can significantly reduce energy consumption, in comparison to two state-of-the-art methods. © 2023, the Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Genetic programming

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Augmented Analytics: Modern Business Intelligence and Data Analytics 7

Augmented Analytics: Modern Business Intelligence and Data A...

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2023 7th international conference On Computing, Communication, Control And Automation, ICCUBEA 2023

作者： Ukhalkar, Prakash Bhate, Manasi Hingane, Suraj Hingane, Swati Pimpri Chinchwad College of Engineering Mca Department Pune India MES's Institute of Management and Career Courses Mca Department Pune India Abhinav Education Society's Institute of Management and Research Mca Department Pune India Rmd Sinhgad School of Management Studies Mba Department Pune India

ISBN: (纸本)9798350304268

Analytics that define the most valuable and possible automation are referred to as augmented analytics. Analytics is the name given to the scientific method of identifying and communicating critical patterns in data. To improve decision-making, gain understanding, prepare data, and exchange data, augmented analytics focused on turning raw data into information. Measurement and insights of data are obtained through augmented analytics. It employs operations research, computer programming, and statistics. It is functional in places with an enormous amount of information. When it comes to analytics and decision-making, augmented analytics can be supplemented and eventually fully automated. Augmented analytics is the most recent method for considering data and analytics. artificial intelligence (AI) and analytics are combined. It involves combining artificial intelligence (AI) with conventional analytics, the most popular machine learning (ML), and natural language processing (NLP). It differs from typical analytics or business intelligence (BI) tools in that ML technology is constantly learning and improving outcomes behind the scenes. Augmented analytics, in particular, allows for faster access to insights gained from vast volumes of structured and unstructured data to provide ML-based recommendations. this intelligence contributes to discovering hidden patterns and deviations in data, as well as the removal of human bias and the development of forecasting capabilities that can help an organization decide the future course of action. © 2023 IEEE.

关键词： artificial Intelligence Augmented Analytics Business Intelligence Machine Learning Natural Language Processing

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A web tool for monitoring HTTP asynchronous method invocations

A web tool for monitoring HTTP asynchronous method invocatio...

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7th international conference for Internet Technology and Secured Transactions, ICITST 2012

作者： Jaimez-González, Carlos R. Luna-Ramírez, Wulfrano A. Lucas, Simon M. Departamento de Tecnologías de la Información Universidad Autónoma Metropolitana - Cuajimalpa Mexico City Mexico School of Computer Science and Electronic Engineering University of Essex Colchester United Kingdom

ISBN: (纸本)9781908320087

Applications that involve client-server communication sometimes require the execution of asynchronous processes on the server side. We have created a framework for distributed object programming, called Web Objects in XML (WOX), which uses HTTP as transport protocol, XML for object representation, and provides synchronous and asynchronous communication between clients and servers. this paper presents a Web tool for monitoring the asynchronous method invocations on this framework, and describes the implementation of asynchronous communication, which uses HTTP Polling and HTTP Streaming. © 2012 Infonomics Society.

关键词： HTTP

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Automatic Speed Measurement and License Plate Reader for Motor Vehicles using CNN 7

Automatic Speed Measurement and License Plate Reader for Mot...

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7th international conference on Electronics, Communication and Aerospace Technology, ICECA 2023

作者： Poornima, D. Gopinath, N. Harish, L. Manju Kumar, Santosh Tamilselvi, C. Sathyabama Institute of Science and Technology Department of Computer and Science Engineering Tamil Nadu India B. S. Abdur Rahman Crescent Institute of Science and Technology Department of Computer Science Engineering Tamil Nadu India CMR Institute of Technology Department of Information Science and Engineering Karnataka India Government Engineering College Department of Electrical Engineering Bihar India Gaya Colleg of Engineering Department of Electrical and Electronics Engineering Bihar India Dr. MGR Educational and Research Institute Department of Information Technology Tamil Nadu India

ISBN: (纸本)9798350340600

Assessing traffic surveillance data is a prevalent utilization of deep learning methodologies. Video processing techniques were employed to develop the system aimed at determining the velocity of vehicles. the analysis of video speed is conducted without the requirement of camera calibration. Frame subtraction and masking techniques are employed to effectively segregate moving vehicles. the suggested system comprises four primary components. Object detection techniques are employed in the initial phase to identify and locate moving vehicles within a given footage. Real-time vehicle recognition leverages the utilization of R-CNN and deep learning techniques. In the subsequent section, algorithms are employed to observe the movement of objects within individual video frames. Optical flow methods are employed in the third segment to ascertain the velocities of the respective vehicles. In the preceding part, the proposed work have utilized image processing techniques in conjunction with deep learning methodologies to accurately decipher the license plates of the automobiles under our surveillance. the experimental evaluation involving the utilization of traffic film demonstrated a system performance of 97% in precisely quantifying speed while achieving a license plate identification accuracy of 95%. the incorporation of state-of-the-art traffic management systems has facilitated the implementation of real-time speed monitoring and license plate reading capabilities. this facilitates the deterrence of automobile theft and the implementation of traffic regulations. Additionally, the methodology has the capability to identify traffic patterns and pinpoint regions of congestion, thus assisting in the effective management of traffic. © 2023 IEEE.

关键词： Object detection

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Dynamic Economic Dispatch Integrating Photovoltaic and Wind Generation Using GAMS Optimization 7

Dynamic Economic Dispatch Integrating Photovoltaic and Wind ...

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7th Edition Global conference on Wireless and Optical Technologies, GCWOT 2024

作者： Qasim, Summaya Ashraf, Muhammad Mansoor Zaidi, Syeda Sadaf Waseem, Muhammad Pallonetto, Fabiano Ali, Zain Anwar University of Engineering and Technology Electrical Engineering Department Taxila Pakistan Department of Electronics Engineering Kildare Ireland Maynooth University Co. Lero - Science Foundation Ireland Research Centre for Software Kildare Ireland Maynooth International Engineering College Maynooth University Co. Kildare Ireland

ISBN: (纸本)9798331534271

this research presents a strategy to optimize per-formance of the conventional power grid systems incorporating photovoltaic and wind energy sources using Dynamic Economic Load Dispatch (ELD). the proposed model tackles the uncertain and variable characteristics of wind and solar power outputs by accounting for disparities between observed and forecasted power outputs leveraging General Algebraic Modeling System (GAMS)-based optimization. the approach seeks to reduce the overall operational expenses of generators while effectively distributing power generation to committed units. this methodology is applied to a power system incorporating the solar and wind plant linked to 3 and 6 generating units, respectively. the outcomes of simulations carried out in GAMS substantiate the efficacy of the proposed approach in terms of least fuel cost. GAMS is a commercial package deployed to optimize the ELD problem effectively with an easy-to-use interface which efficiently finds the optimal results using non-linear programming solver. © 2024 IEEE.

关键词： Wind power integration

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Markov decision process (MDP) framework for optimizing software on mobile phones

Markov decision process (MDP) framework for optimizing softw...

引用

Embedded Systems Week 2009, ESWEEK 2009 - 7th ACM international conference on Embedded Software, EMSOFT '09

作者： Cheung, Tang Lung Okamoto, Kari Maker III, Frank Liu, Xin Akella, Venkatesh Department of Computer Science University of California Davis Davis CA United States Department of Electrical and Computer Engineering University of California Davis Davis CA United States

ISBN: (纸本)9781605586274

We present a framework based on Markov decision process to optimize software on mobile phones. Unlike previous approaches in literature that focus on energy optimization while meeting a specific task-related time constraint, we model the desired talk-time as an explicit user given parameter and formulate the optimization of resources such as battery-life on a mobile phone as a decision processes that maximizes a user specified application specific reward or utility metric while meeting the talk-time constraint. We propose efficient techniques to solve the optimization problem based on dynamic programming and illustrate how it can be used in the context of realistic applications such as WiFi radio power optimization and email synchronization. We present a design methodology to use the proposed technique and experimental results using the Android platform from Google running on the HTC mobile phone. Copyright 2009 ACM.

关键词： Markov processes

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Study Courses Digitalisation at RTU On the Basis of HPC Platform and Combined Learning Methodology 64

Study Courses Digitalisation at RTU On the Basis of HPC Plat...

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64th IEEE Annual international Scientific conference on Power and Electrical engineering of Riga Technical University, RTUCON 2023

作者： Zhiravetska, Anastasia Chaiko, Jelena Kunicina, Nadezhda Maksimkina, Julija Riga Technical University Institute of Industrial Electronics and Electrical Engineering Department of Electrophysics Riga Latvia Riga Technical University Institute of Industrial Electronics and Electrical Engineering Riga Latvia

ISBN: (纸本)9798350317732

the benefits of study program digitalisation are very promising in engineering sector, and they are coming into all segments of life not avoiding the segment of education especially in engineering area. therefore Riga Technical University is intensively improving its study courses introducing and modifying study activities realised by means of various interactive tools. One of the ways to digitalise the courses is participation in project 2.3.1.1.i.0/1/22/I/CFLA/003 'Mastering of High Level Digital Skills In Latvia In the Field of High Performance Computing' ('Augsta līmeņa digitālo prasmju apguve Latvijā augstas veiktspējas skaitļošanas tehnoloiju jomā'). this project is realised by three largest universities of Latvija - Riga Technical University, Riga Stradiņš University and Latvian University. It initialises the modification of 12 study courses for the further combined learning methodology on the basis of 8 themes modules: 1) scientific programming and operational systems, 2) computer design, 3D modelling and design, 3) data analysis, machine learning and data science, 4) parallel programming, 5) modelling and simulation, 6) modern computing systems and methods 7) engineering design of complex physical systems and simulation of mechanic, aerodynamic, electrodynamic properties and 8) artificial intelligence including medicine diagnostics based on pictures. © 2023 IEEE.

关键词： 3D modeling

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Adding secure communication mechanism to existing distributed applications by means of AOP

Adding secure communication mechanism to existing distribute...

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7th international conference on Ubiquitous Information Technologies and Applications, CUTE 2012

作者： Sahingoz, Ozgur Koray Turkish Air Force Academy Computer Engineering Department 34149 Istanbul Turkey

ISBN: (纸本)9789400758568

the object-oriented programming paradigm is a process of implementing a program by means of 'Objects' into which separate concerns are grouped. However, it does not map some types of concerns such as security, logging and exception handling, which should be implemented in each object separately. As most of the security goals, reliable communication is a non-functional requirement in a distributed system development process, and it typically crosscuts many objects in the distributed architecture. Program codes to realize this secure communication goal is generally spread in different code places throughout the application. Aspect-oriented programming (AOP) is a new programming paradigm that improves program modularity by enabling the separation of concerns from the main logic of the application. For example, in the context of security, developers should not need to encode security logic in the main program;instead, it can be grouped into a separate and independent unit, called as aspects. this paper presents a case study to illustrate how aspect oriented approach can be used to resolve the scattered and tangled concerns, like secure communication, in a previously developed distributed system in which objects communicate with each other via Java RMI. As a java-based aspect oriented tool, AspectJ is used to encapsulate the security related crosscutting concerns like communication. Performance evaluations are tested for adding security aspect to a distributed application. As a result, usage of aspects is a good choice for enhancing system to achieve high cohesion and low coupling, which are one of the main the software engineering requirements. It also enhances the readability of the system and makes system easier to maintain. © 2013 Springer science+Business Media.

关键词： Object oriented programming

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Expert System to Diagnose Gastritis Disease Using the Certainty Factor Method 7

Expert System to Diagnose Gastritis Disease Using the Certai...

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7th international conference on Cyber and IT Service Management, CITSM 2019

作者： Adhar, Deny Syafrizal Panggabean, Erwin Sipahutar, Lahmudin Fahlevi, Muhammad Reza Faculty of Engineering and Computer Science Universitas Potensi Utama Medan Indonesia

ISBN: (纸本)9781728129099

Gastritis is a condition when the stomach lining becomes irritated, inflamed or eroded. Based on the period of development of symptoms, the gastritis is divided into two, namely acute (developing quickly and suddenly) and chronic (developing slowly). Symptoms that commonly appear are pain, discomfort in the upper abdomen, nausea, vomiting, and indigestion. If the condition is considered erosive gastritis, the patient will experience black stools or vomit blood. Most people do not understand the types of diseases that people suffer. this is because people do not have the existing knowledge about a disease. People who suffer from disease generally rely on doctors to deal with diseases that people suffer. But for people who are less costly and also difficult to go to hospitals far from their homes, this is a big obstacle. therefore researchers recommend a system that can help people to be able to diagnose gastritis. the system that the researcher uses is an expert system. However, to diagnose gastritis, a method is needed that can be applied to expert systems. therefore, researchers propose the Certainty Factor method. By using Visual Basic 2010 programming language and storage using SQL Server 2008 databases, it can be created an application Expert System to Diagnose Gastritis Disease Using Certainty Factor Method. © 2019 IEEE.

关键词： Expert systems

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