Search results for "Computer engineering"

showing 10 items of 164 documents

A Robust Blind 3-D Mesh Watermarking Technique Based on SCS Quantization and Mesh Saliency for Copyright Protection

2019

Due to the recent demand of 3-D meshes in a wide range of applications such as video games, medical imaging, film special effect making, computer-aided design (CAD), among others, the necessity of implementing 3-D mesh watermarking schemes aiming to protect copyright has increased in the last decade. Nowadays, the majority of robust 3-D watermarking approaches have mainly focused on the robustness against attacks while the imperceptibility of these techniques is still a serious challenge. In this context, a blind robust 3-D mesh watermarking method based on mesh saliency and scalar Costa scheme (SCS) for Copyright protection is proposed. The watermark is embedded by quantifying the vertex n…

FOS: Computer and information sciencesComputer Science - Cryptography and SecurityComputer science[INFO.INFO-TS] Computer Science [cs]/Signal and Image ProcessingQuantization (signal processing)Data_MISCELLANEOUS020207 software engineeringWatermark02 engineering and technologyGraphics (cs.GR)Computer Science - Graphics[INFO.INFO-TS]Computer Science [cs]/Signal and Image ProcessingComputer engineering0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingPolygon meshVertex normalQuantization (image processing)Digital watermarkingCryptography and Security (cs.CR)ComputingMilieux_MISCELLANEOUSSmoothing
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A Convolutional Neural Network based Cascade Reconstruction for the IceCube Neutrino Observatory

2021

Continued improvements on existing reconstruction methods are vital to the success of high-energy physics experiments, such as the IceCube Neutrino Observatory. In IceCube, further challenges arise as the detector is situated at the geographic South Pole where computational resources are limited. However, to perform real-time analyses and to issue alerts to telescopes around the world, powerful and fast reconstruction methods are desired. Deep neural networks can be extremely powerful, and their usage is computationally inexpensive once the networks are trained. These characteristics make a deep learning-based approach an excellent candidate for the application in IceCube. A reconstruction …

FOS: Computer and information sciencesComputer Science - Machine LearningAstrophysics::High Energy Astrophysical Phenomenacs.LGData analysisFOS: Physical sciencesFitting methods01 natural sciencesConvolutional neural networkCalibration; Cluster finding; Data analysis; Fitting methods; Neutrino detectors; Pattern recognitionHigh Energy Physics - ExperimentIceCube Neutrino ObservatoryMachine Learning (cs.LG)High Energy Physics - Experiment (hep-ex)Pattern recognition0103 physical sciencesNeutrino detectors010303 astronomy & astrophysicsInstrumentationMathematical Physics010308 nuclear & particles physicsbusiness.industryhep-exDeep learningCluster findingDetectorNeutrino detectorComputer engineeringOrders of magnitude (time)13. Climate actionCascadeCalibrationPattern recognition (psychology)Artificial intelligencebusiness
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A dynamic program analysis to find floating-point accuracy problems

2012

Programs using floating-point arithmetic are prone to accuracy problems caused by rounding and catastrophic cancellation. These phenomena provoke bugs that are notoriously hard to track down: the program does not necessarily crash and the results are not necessarily obviously wrong, but often subtly inaccurate. Further use of these values can lead to catastrophic errors.In this paper, we present a dynamic program analysis that supports the programmer in finding accuracy problems. Our analysis uses binary translation to perform every floating-point computation side by side in higher precision. Furthermore, we use a lightweight slicing approach to track the evolution of errors.We evaluate our…

Floating pointComputer engineeringComputer scienceComputationRoundingReal-time computingBinary translationDynamic program analysisBenchmark (computing)ProgrammerProceedings of the 33rd ACM SIGPLAN Conference on Programming Language Design and Implementation
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Scaling the Analytical Information Given by Several Types of Colorimetric and Spectroscopic Instruments Including Smartphones: Rules for Their Use an…

2021

The analytical information given by different types of instruments was scaled in order to establish suitably the figures of merit of a given methodology based on color measurements. Different lab and portable instruments, including smartphones with and without a miniaturized spectrophotometer accessory, have been tested. In order to obtain broad information and using objective criteria, these instruments have been compared from (1) the analytical point of view, considering mainly the detection limit (limits of detection [LODs]), selectivity, accuracy and intra- and interday precision, size, components, and costs; and (2) the environmental point of view, based on their footprint as kilograms…

FootprintDetection limitComputer engineeringChemistryInstrumentation010401 analytical chemistryFigure of meritRGB color model010402 general chemistry01 natural sciencesScaling0104 chemical sciencesAnalytical ChemistryAnalytical chemistry
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Metamodeling editor as a front end tool for a CASE shell

1992

Customizable Computer Aided Software Engineering (CASE) tools, often called CASE shells, are penetrating in the market. CASE shells provide a flexible environment to support a variety of information systems development methods. CASE shells are often cumbersome to use and in practice few people can model and implement methods in them. To overcome these problems we have developed a graphical metamodeling environment called MetaEdit and a method modeling interface to the CASE shell RAMATIC. Using this interface the methodology engineer can develop graphical models in RAMATIC's model definition language and then easily generate the resource files that control the operations of RAMATIC. MetaEdit…

Front and back endsEngineering drawingComputer engineeringInterface (Java)Computer scienceShell (computing)Information systemObject typeGraphical modelComputer-aided software engineeringMetamodeling
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Innovative Methodology to Improve the Quality of Electronic Engineering Formation Through Teaching Industrial Computer Engineering

2004

An innovative educational methodology adapted to the requirements of a new era with new societal and industrial challenges for electronic engineers is proposed in this paper. This active methodology, known as the Educational Innovation Project (EIP), is being studied in the Electronic Engineering (EE) degree of the Higher Technical School of Design Engineering at the Polytechnic University of Valencia, Valencia, Spain. The main objective of the EIP methodology is to improve the process of teaching and learning in order to increase student success. To accomplish this objective, the EIP method addresses various issues. From an organizational viewpoint, different structural aspects of the EE d…

Further educationTeamworkEngineeringReflection (computer programming)Process (engineering)business.industrymedia_common.quotation_subjectEducationEngineering managementComputer engineeringWork (electrical)Multidisciplinary approachElectronic engineeringProcess controlQuality (business)Electrical and Electronic Engineeringbusinessmedia_commonIEEE Transactions on Education
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Special issue of Computers and Operations Research: GRASP with Path Relinking: Developments and applications

2013

General Computer ScienceComputer engineeringComputer scienceModeling and SimulationDistributed computingPath (graph theory)GRASPManagement Science and Operations ResearchComputers & Operations Research
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AMCAS: Advanced Methods for the Co-Design of Complex Adaptive Systems

2006

Abstract This work proposes a new approximation to design and program Complex Adaptive Systems (CAS), these systems comprise neural network, intelligent agents, genetic algorithms, support vector machines and artificial intelligence systems in general. Due to the complexity of such systems, it is necessary to build a design environment able to ease the design work, allowing reusability and easy migration to hardware and/or software. Ptolemy II is used as the base system to simulate and evaluate the designs with different Models of Computation so that an optimum decision about the hardware or software implementation platform can be taken.

Hardware architectureSystem of systemsComputer sciencebusiness.industryModel of computationDistributed computingcomputer.software_genreIntelligent agentSoftwareComputer engineeringSystems development life cycleSystems designHardware compatibility listbusinesscomputerReusability
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From medical data to simple virtual mock-up of scapulo-humeral joint

2008

The surgical operations of shoulder joint are guided by various principles: osteosynthesis in the case of fracture, osteotomy in order to correct a deformation or to modify the functioning of the joint, or implementation of articular prosthesis. At the end of the twentieth century, many innovations in the domains of biomechanics and orthopedic surgery have been performed. Nevertheless, theoretical and practical problems may appear during the operation (visual field of surgeon is very limited, quality and shape of the bone is variable depending on the patient). Biomechanical criteria of success are defined for each intervention. For example, the installation with success of prosthetic implan…

Humeral jointComputer engineering. Computer hardwaremedicine.medical_specialtyEngineeringHombroShoulderComputer sciencemedicine.medical_treatmentmedical imagingCirurgia virtualVirtual surgeryVirtual realityOsteotomyProsthesisEspatlla3D modelingTK7885-7895Physical medicine and rehabilitationImage processingMedical imagingmedicineProcesamiento de imágenesSimulationOsteosynthesisModelatge en 3Dbusiness.industryBiomechanicsCirugía virtualProcessament d'imatgesQA75.5-76.95image processingmedicine.anatomical_structureModelado en 3DImatges mèdiquesElectronic computers. Computer scienceImágenes médicasOrthopedic surgeryShoulder jointComputer Vision and Pattern RecognitionMedical imagingvirtual surgerybusinessSoftware
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Performance and energy optimisation in CPUs through fuzzy knowledge representation

2019

Abstract This paper presents an automatic design space exploration using processor design knowledge for the multi-objective optimisation of a superscalar microarchitecture enhanced with selective load value prediction (SLVP). We introduced new important SLVP parameters and determined their influence regarding performance, energy consumption, and thermal dissipation. We significantly enlarged initial processor design knowledge expressed through fuzzy rules and we analysed its role in the process of automatic design space exploration. The proposed fuzzy rules improve the diversity and quality of solutions, and the convergence speed of the design space exploration process. Experiments show tha…

Information Systems and ManagementComputer scienceDesign space exploration02 engineering and technologyFuzzy logicMulti-objective optimizationTheoretical Computer ScienceProcessor design knowledgeArtificial IntelligenceEnergy savingSuperscalar0202 electrical engineering electronic engineering information engineeringAutomatic design space exploration Processor design knowledge Superscalar microarchitecture Dynamic value prediction Energy savingProcessor design05 social sciencesProcess (computing)050301 educationEnergy consumptionComputer Science ApplicationsMicroarchitectureComputer engineeringControl and Systems EngineeringDynamic value prediction020201 artificial intelligence & image processingAutomatic design space exploration; Processor design knowledge; Superscalar microarchitecture; Dynamic value prediction; Energy savingSuperscalar microarchitecture0503 educationAutomatic design space explorationSoftwareEnergy (signal processing)Information Sciences
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