In order to create a system for Image Semantic Segmentation that works similarly to the human way of approaching visual problems, we decided to use divide-and-conquer to break an image into smaller pieces, called micr...
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distributed energy systems (DES) have been considered as a promising solution due to the benefits on efficiency and environment sides. However, despite the rapid development of distributed energy resources and technol...
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ISBN:
(纸本)9780791887189
distributed energy systems (DES) have been considered as a promising solution due to the benefits on efficiency and environment sides. However, despite the rapid development of distributed energy resources and technologies, the share of the distributed energy generation is still small in comparison to that of traditional generation. Time-of-use (TOU) pricing can be an important incentive strategy to encourage the penetration of distributed energy systems. In this paper, a multi-objective optimization considering the time-of-use pricing impacts is proposed to determine the optimal configuration and capacity of distributed energy system involving different technologies including solar photovoltaic (PV), solar thermal collector (STC), combined heating and power system (CHP), and integrated energy storage (ES). the distributed energy system is designed to satisfy the electric and thermal load of commercial buildings (large hotel and medium office) partially or entirely. the proposed multi-objective optimization is utilized to configurate the optimal combination of distributed energy technologies as well as the system capacity to reduce boththe cost and environment impact of the system in different locations. Results show that the proposed optimization method can achieve a trade-off between system cost and environment impact based on the existing time-of-use pricing structure.
the proceedings contain 204 papers. the special focus in this conference is on Biomedical Engineering systems and Technologies. the topics include: A POCT to Rapid Detect GBS with Highly Sensitivity;Characterization o...
the proceedings contain 204 papers. the special focus in this conference is on Biomedical Engineering systems and Technologies. the topics include: A POCT to Rapid Detect GBS with Highly Sensitivity;Characterization of sEMG Spectral Properties During Lower Limb Muscle Activation;an event-Driven Closed-Loop Ultrasound Stimulator Composed of a Micro-Transducer and Multi-Site Electrodes in Vitro;3D Nuclei Segmentation by Combining GAN based Image Synthesis and Existing 3D Manual Annotations;centrality of the Fingerprint Core Location;breast Cancer Detection Using Smart Wearable Devices withthermal Sensors;preliminary Results on the Evaluation of Different Feedback Methods for the Operation of a Muscle-Controlled Serious Game;integrated Driver Pose Estimation for Autonomous Driving;A Comparison of Recurrent and Convolutional Deep Learning Architectures for EEG Seizure Forecasting;biodegradable Biodevices: A Design Approach based on Cellular Automaton;prototyping a Low-Cost Flexible Sensor Glove For Diagnostics and Rehabilitation;Performance Review of Retraining and Transfer Learning of DeLTA2 for Image Segmentation for Pseudomonas Fluorescens SBW25;assembling Close Strains in Metagenome Assemblies Using Discrete Optimization;Agent Simulation Using Path Telemetry for Modeling COVID-19 Workplace Hazard and Risk;compositional Techniques for Asynchronous Boolean Networks;unsupervised Domain Adaptation for Medical Images with an Improved Combination of Losses;Classification of Fine-ADL Using sEMG Signals Under Different Measurement Conditions;feature Selection Improves Speech based Parkinson’s Disease Detection Performance;Contactless Camera-based Detection of Oxygen Desaturation events and ODI Estimation During Sleep in SAS Patients;hand Movement Recognition based on Fusion of Myography Signals;Prediction of Oxygen Saturation from Graphene Respiratory Signals with PPG Trained DNN.
the proceedings contain 204 papers. the special focus in this conference is on Biomedical Engineering systems and Technologies. the topics include: A POCT to Rapid Detect GBS with Highly Sensitivity;Characterization o...
the proceedings contain 204 papers. the special focus in this conference is on Biomedical Engineering systems and Technologies. the topics include: A POCT to Rapid Detect GBS with Highly Sensitivity;Characterization of sEMG Spectral Properties During Lower Limb Muscle Activation;an event-Driven Closed-Loop Ultrasound Stimulator Composed of a Micro-Transducer and Multi-Site Electrodes in Vitro;3D Nuclei Segmentation by Combining GAN based Image Synthesis and Existing 3D Manual Annotations;centrality of the Fingerprint Core Location;breast Cancer Detection Using Smart Wearable Devices withthermal Sensors;preliminary Results on the Evaluation of Different Feedback Methods for the Operation of a Muscle-Controlled Serious Game;integrated Driver Pose Estimation for Autonomous Driving;A Comparison of Recurrent and Convolutional Deep Learning Architectures for EEG Seizure Forecasting;biodegradable Biodevices: A Design Approach based on Cellular Automaton;prototyping a Low-Cost Flexible Sensor Glove For Diagnostics and Rehabilitation;Performance Review of Retraining and Transfer Learning of DeLTA2 for Image Segmentation for Pseudomonas Fluorescens SBW25;assembling Close Strains in Metagenome Assemblies Using Discrete Optimization;Agent Simulation Using Path Telemetry for Modeling COVID-19 Workplace Hazard and Risk;compositional Techniques for Asynchronous Boolean Networks;unsupervised Domain Adaptation for Medical Images with an Improved Combination of Losses;Classification of Fine-ADL Using sEMG Signals Under Different Measurement Conditions;feature Selection Improves Speech based Parkinson’s Disease Detection Performance;Contactless Camera-based Detection of Oxygen Desaturation events and ODI Estimation During Sleep in SAS Patients;hand Movement Recognition based on Fusion of Myography Signals;Prediction of Oxygen Saturation from Graphene Respiratory Signals with PPG Trained DNN.
the proceedings contain 73 papers. the topics discussed include: modular tangible user interfaces: impact of module shape and bonding strength on interaction;grounding graph theory in embodied concreteness with virtua...
ISBN:
(纸本)9781450399777
the proceedings contain 73 papers. the topics discussed include: modular tangible user interfaces: impact of module shape and bonding strength on interaction;grounding graph theory in embodied concreteness with virtual reality;adaptive soft switches: co-designing fabric adaptive switches with occupational therapists for children and adolescents with acquired brain injury;prototyping with monkeys: uncovering what buttons for monkeys look like;speaking from experience: co-designing e-textile projects with older adult fiber crafters;Xs: interactive scissor mechanisms as portable and customizable shape-changing interfaces;the body as sound: unpacking vocal embodiment through auditory biofeedback;investigating a force-based selection method for smartwatches in a 1D Fitts’ Law study and two new character-level keyboards;embodying wind through flare: how natural phenomena can contribute to enriching the design of interactive systems;and making from home: reflections on crafting tangible interfaces for stay-at-home living.
Real-time distributed Internet of things (IoT) systems are increasingly using complex event processing to make inferences about the environment. this mode of operation is able to reduce communication requirements, imp...
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ISBN:
(纸本)9789897585685
Real-time distributed Internet of things (IoT) systems are increasingly using complex event processing to make inferences about the environment. this mode of operation is able to reduce communication requirements, improve robustness and scalability, and avoid the need for big data storage and processing. Withsystems making many inferences about the environment, there is no provision for general access to these inferences as well as the ability to make further inferences. Most IoT systems are closed or very limited in their openness and discoverability because they are exist for commercial purposes in which they control all the elements of the system. To this end, we propose the concept of an Open Inference Network (OIN): a novel open architecture for detecting and publishing complex events at various abstraction levels in an event cloud, i.e. the set of events consumed and produced by this system. Such systems contain three types of nodes: basic event source, inference, and activity nodes. Inference nodes detect event patterns that may encode some meaning and inject corresponding higher-level events into the event cloud. Activity nodes respond to an event by prompting an external system to perform some action;such an action may result in outputs that appear as new events. We consider the architecture requirements for OIN by assessing the required architectural elements against current IoT standards. these requirements mainly consist of event description and discoverability, and security, which together enable developers to collaboratively grow and evolve OINs. this is an intermediate study which does not include an empirical study.
Résumé - Every day, road accidents cause human and material losses and become one of the world's most serious problems. the National Observatory for Road Safety in Tunisia (NORS) has reported that the nu...
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Physical site security is a strategy for protecting against threats and mitigating the potential negative effects of security incidents. Potential threats must be identified and prioritized according to their critical...
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the proceedings contain 17 papers. the topics discussed include: portable implementations of work stealing;sKokkos: enabling Kokkos with transparent device selection on heterogeneous systems using OpenACC;parallelized...
ISBN:
(纸本)9798400708893
the proceedings contain 17 papers. the topics discussed include: portable implementations of work stealing;sKokkos: enabling Kokkos with transparent device selection on heterogeneous systems using OpenACC;parallelized remapping algorithms for km-scale global weather and climate simulations with icosahedral grid system;approximate block diagonalization of symmetric matrices using quantum annealing;QUBO formulation using inequalities for problems with complex constraints;low-latency communication in RISC-V clusters;flexible systolic array platform on virtual 2-D multi-FPGA plane;an efficient task-parallel pipeline programming framework;and task-based low-rank hybrid parallel Cholesky factorization for distributed memory environment.
Modern applications handle increasingly larger volumes of data, generated at an unprecedented and constantly growing rate. they introduce challenges that are radically transforming the research fields that gravitate a...
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