As an application of EEG, Motor Imagery based Brain-Computer Interface (MI BCI) plays a significant role in assisting patients with disability to communicate with their environment. MI BCI could now be realized throug...
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Object recognition is a versatile capability. Automatic guided tours and augmented reality are just two examples. Humans seem to do it subconsciously - unaware of the extensive processing required for it - while it is...
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ISBN:
(纸本)9781479961016
Object recognition is a versatile capability. Automatic guided tours and augmented reality are just two examples. Humans seem to do it subconsciously - unaware of the extensive processing required for it - while it is a complex task for machines. Methods based on SIFT features have proven to be robust for recognition. However, a prior detection step is required to limit confusion, caused by, e.g., scene clutter. We present an attention-guided method that offloads this to humans through eye tracking. Gaze data is used to extract candidate patches to recognize afterwards. It improves upon previous work by automatically selecting the dynamic size of said patch, instead of fixed large local region. Therefore increasing robustness and independence compared to fixed window size technique.
The proceedings contain 23 papers. The special focus in this conference is on New Approaches for Multidimensional Signal Processing. The topics include: Development of IoT Indoor Monitoring System for Independent Elde...
ISBN:
(纸本)9789811978418
The proceedings contain 23 papers. The special focus in this conference is on New Approaches for Multidimensional Signal Processing. The topics include: Development of IoT Indoor Monitoring System for Independent Elderly;improving the Process of Evaluating User Stories Using the Paraconsistent Annotated Evidential Logic Eτ;neural Network Algorithm Applied in Electrical Engineering Automation;Truss Structure Optimization Design Based on FE-PSO-SQP Algorithm;practice System of Ant Colony Optimization Algorithm in Business Administration;literature Review of Smart Contracts Using Blockchain Technology;a Comprehensive Study of 5th Generation Scheduling Algorithms;a Comparative Analysis of Homogeneous and Heterogeneous Protocols to Maximize the Lifetime of Wireless Sensor Network for Precision Agriculture;the Integration Development and Upgrading Path of Industry 4.0 Architecture Industrial Engineering Network Driven by Big Data;video Tracing of Moving Objects by Fusing Three-Term Decompositions;SAAS Application Prospect Analysis in Hrm and Methods to Upgrade the Contemporary System;All Digital Phase Locked Loop (ADPLL) and Its Blocks—A Comprehensive Knowledge;on Realization of Smart Logistic Warehouse Management with Internet of Things;development and Design of Intelligent Traction System for Bulk Cargo Terminal;deep Learning Approaches for Classroom Audio Classification Using Mel Spectrograms;Tensor Spectral Pyramid for Color Video Sequences Representation, Based on 3D FO-AHKLT;electromyography Signal Acquisition, Processing, Optimization and Its Applications;research on the Radar Signal Classification Method Based on the Deep Faith Network Model;measuring machineintelligence Using Black-Box-Based Universal intelligence Metrics;COVID Detection Using ECG Image Reports: A Survey;disease Detection Techniques in Plants: Transition from Manual to Automation.
Anything non-living that can take decisions on its own is called artificially intelligent. It is a technique designed to mimic human behaviour. On the other hand machine learning if a subset of artificial intelligence...
Anything non-living that can take decisions on its own is called artificially intelligent. It is a technique designed to mimic human behaviour. On the other hand machine learning if a subset of artificial intelligence. It is a statistic method used to enable machine to improve with experience. They both go hand in hand. Now IoT has been there in existence for an enormous amount of time but during recent times due to large scale good connectivity for efficient data transfer, machine learning and analytics and Conversional Artificial intelligence has made IoT possible.
The primary driver of growing demand for innovation in materials particularly for aerospace applications is energy efficient and lightweight without sacrificing mechanical properties. One of such group of materials de...
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The need to integrate flexible and intelligent mechanisms for energy management becomes a necessity. In this paper, we are considering a microgrid with infrastructures having production capacities and consumption need...
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ISBN:
(数字)9781728131290
ISBN:
(纸本)9781728131290
The need to integrate flexible and intelligent mechanisms for energy management becomes a necessity. In this paper, we are considering a microgrid with infrastructures having production capacities and consumption needs. Several data and constraints related to the microgrid consumption have been collected, in addition to data concerning the production of renewable energy from Photovoltaic panels (PV). Data history is used as input to a neural network to predict one day ahead of consumption and production. Then, a prioritized scheduling family of algorithms is presented. First, we introduce a mathematical formulation to our problem. Then, we propose various scenarios that go from an exact solution to heuristic-based use cases, including scheduling of several energy classes with a maximum scheduling time lapse. Results show that prioritized scheduling, including time lapse based on predictions, can give more reliable results than scheduling based on bin packing.
The proceedings contain 23 papers. The topics discussed include: interaction scenarios for HRI in public space;MAWARI: a social interface to reduce the workload of the conversation;design of robust robotic proxemic be...
ISBN:
(纸本)9783642255038
The proceedings contain 23 papers. The topics discussed include: interaction scenarios for HRI in public space;MAWARI: a social interface to reduce the workload of the conversation;design of robust robotic proxemic behavior;effects of gesture on the perception of psychological anthropomorphism: a case study with a humanoid robot;eight lessons learned about non-verbal interactions through robot theater;proxemic feature recognition for interactive robots: automating metrics from the social sciences;children interpretation of emotional body language displayed by a robot;making robots persuasive: the influence of combining persuasive strategies (gazing and gestures) by a storytelling robot on its persuasive power;BEHAVE: a set of measures to assess users' attitudinal and non-verbal behavioral responses to a robot's social behaviors;and initial formation of trust: designing an interaction with Geminoid-DK to promote a positive attitude for cooperation.
This book constitutes the refereed proceedings of the 15th IFIP WG 12.5 internationalconference on Artificial intelligence Applications and Innovations, AIAI 2019, held in Hersonissos, Crete, Greece, in May 2019.;The...
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ISBN:
(数字)9783030198237
ISBN:
(纸本)9783030198220
This book constitutes the refereed proceedings of the 15th IFIP WG 12.5 internationalconference on Artificial intelligence Applications and Innovations, AIAI 2019, held in Hersonissos, Crete, Greece, in May 2019.;The 49 full papers and 6 short papers presented were carefully reviewed and selected from 101 submissions. They cover a broad range of topics such as deep learning ANN; genetic algorithms - optimization; constraints modeling; ANN training algorithms; social media intelligent modeling; text mining/machine translation; fuzzy modeling; biomedical and bioinformatics algorithms and systems; feature selection; emotion recognition; hybrid Intelligent models; classification - patternrecognition; intelligent security modeling; complex stochastic games; unsupervised machine learning; ANN in industry; intelligent clustering; convolutional and recurrent ANN; recommender systems; intelligent telecommunications modeling; and intelligent hybrid systems using Internet of Things. The papers are organized in the following topical sections:;AI anomaly detection - active learning; autonomous vehicles - aerial vehicles; biomedical AI; classification - clustering; constraint programming - brain inspired modeling; deep learning - convolutional ANN; fuzzy modeling; learning automata - logic based reasoning; machine learning - natural language; multi agent - IoT; nature inspired flight and robot; control - machine vision; and recommendation systems.
The term 39;5G39; refers to the latest advancements in mobile technology. The next key stage of mobile communications standards after the soon-to-be-implemented 4G standards is 5G. Due to the development of 5G tec...
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machine learning methods have been applied to infer activities of users. However, the small number of training samples and their primitive representation often complicates the learning task. In order to correctly infe...
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