The proceedings contain 100 papers. The topics discussed include: optimization of management system of independent enrollment based on quantum evolutionary algorithm;cloud platform task scheduling strategy for power d...
The proceedings contain 100 papers. The topics discussed include: optimization of management system of independent enrollment based on quantum evolutionary algorithm;cloud platform task scheduling strategy for power dispatching automation system based on artificial intelligence algorithm;research on Tibetan speech recognition speech dictionary and acoustic model algorithm;the application of BP neural network algorithm in rapid design of the vertical boom of bridge inspection vehicle;data association rules mining method based on genetic optimization algorithm;research on application of double fuzzy algorithm in voltage filtering of aluminum electrolysis cell;a multicast routing restoration algorithm based on the n-person non-cooperative game in multi-domain optical networks;multi-attribute probability caching algorithm in named data network;and a class of numerical methods for determining the inclusion relation of positive invariant sets in linear dynamic systems.
The proceedings contain 27 papers. The special focus in this conference is on Smart Applications and Data Analysis for Smart Cyber-Physical systems. The topics include: Unsupervised Deep Collaborative Filtering Recomm...
ISBN:
(纸本)9783030451820
The proceedings contain 27 papers. The special focus in this conference is on Smart Applications and Data Analysis for Smart Cyber-Physical systems. The topics include: Unsupervised Deep Collaborative Filtering Recommender System for E-Learning Platforms;decision Tree Model Based Gene Selection and Classification for Breast Cancer Risk Prediction;dynamic Partitioning of Transportation Network Using Evolutionary Spectral Clustering;towards a Feature Selection for Multi-label Text Classification in Big Data;Hardware Implementation of Roadway Classification System in FPGA Platform;Optimization of LSTM Algorithm Through Outliers – Application to Financial Time Series Forecasting;An Artificial Neural Network Combined to Object Oriented Method for Land Cover Classification of High Resolution RGB Remote Sensing Images;Implementing an ANN Model to Predict the Notch Band Frequency of an UWB Antenna;optimization of Truck-Shovel Allocation Problem in Open-Pit Mines;moving Database Cost Models from Darkness to Light;multi-objective Optimization of Heterogeneous Vehicles Routing in the Case of Medical Waste Using Genetic Algorithm;Safe and Optimal Path Planning for Autonomous UAV Using a Decomposition-Coordination Method;an Execution Time Comparison of Parallel computing Algorithms for Solving Heat Equation;automatic Microservices Identification from a Set of Business Processes;numerical Study of Damaged, Failure and Cracking of Concrete Beam Reinforced by Honeycomb Sandwich Panel Structures;Convolutional Neural Networks for Multimodal Brain MRI Images Segmentation: A Comparative Study;Towards a New ICT Competency Framework Using Open Linked Data;an Overview of Gradient Descent Algorithm Optimization in Machine Learning: Application in the Ophthalmology Field;Building Valid Career Ontologies with B-CPNs.
The proceedings contain 30 papers. The special focus in this conference is on Information Technology, systems.Research and Computational Physics. The topics include: Metaheuristics in physical processes optimization;c...
ISBN:
(纸本)9783030180577
The proceedings contain 30 papers. The special focus in this conference is on Information Technology, systems.Research and Computational Physics. The topics include: Metaheuristics in physical processes optimization;crisp vs fuzzy decision support systems.for the forex market;a hybrid cascade neural network with ensembles of extended neo-fuzzy neurons and its deep learning;Recurrent neural networks with grid data quantization for modeling LHC superconducting magnets behavior;two approaches for the computational model for software usability in practice;graph cutting in image processing handling with biological data analysis;a methodology for trabecular bone microstructure modelling agreed with three-dimensional bone properties;RMID: A novel and efficient image descriptor for mammogram mass classification;instrumentals/songs separation for background music removal;fault propagation models generation in mobile telecommunications networks based on bayesian networks with principal component analysis filtering;content-based recommendations in an E-commerce platform;Generative models for fast cluster simulations in the TPC for the ALICE experiment;2d-raman correlation spectroscopy recognizes the interaction at the carbon coating and albumin interface;effect of elastic and inelastic scattering on electronic transport in open systems.phase-space approach to time evolution of quantum states in confined systems. The spectral split-operator method;probability measures and projections on quantum logics;statistical analysis of models’ reliability for punching resistance assessment;on persistence of convergence of kernel density estimates in particle filtering;multidimensional copula models of dependencies between selected international financial market indexes;new types of decomposition integrals and computational algorithms;optimizing clustering with cuttlefish algorithm;image enhancement with applications in biomedical processing.
It is necessary to consider operators' health in order picking (OP). Automatic systems.have been developed to offer posture risk feedback to operators but a lack of activity information limits the application of s...
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ISBN:
(纸本)9783030395124;9783030395117
It is necessary to consider operators' health in order picking (OP). Automatic systems.have been developed to offer posture risk feedback to operators but a lack of activity information limits the application of such systems.in analyzing OP tasks and improving OP systems. Thus, this study develops an automatic risk evaluation system integrated with activity information in OP for task analysis. Proposed system is a full-body motion capture system including three steps. Firstly, joint angles are calculated using orientation of related IMUs and REBA is implemented to compute posture risk scores. Then, a rule-based method is proposed to automatically detect picking activities. Finally, task analysis is performed by determining percentage of time spent at different risk levels of different activities during task. In a user experiment, questionnaire feedback from participants agreed with the task analysis results and the results provided insight on how to improve the OP system.
The proceedings contain 17 papers. The topics discussed include: the use of higher than the normal field-forcing ratio of synchronous machines from energy storage systems.to increase the reliability of power supply to...
The proceedings contain 17 papers. The topics discussed include: the use of higher than the normal field-forcing ratio of synchronous machines from energy storage systems.to increase the reliability of power supply to consumers in centralized and decentralized zones;the voltage regulation control strategy with distributed photovoltaic participation under serious failure based on transient voltage margin;research on new energy and thermal power proportion comparison of UHVDC generation expansion planning;feasibility study on installation of rooftop photovoltaic system in complied with Thailand energy building code;comparative study on performance improvement of SPWM/THIPWM based DCMLI grid connected DFIG;methodology for evaluation of district heating network efficiency;wind turbine wake effects on wind resource assessments – a case study;and early intervention mechanism for preventing electrical shocks during construction projects: portable electrical equipment.
The proceedings contain 147 papers. The special focus in this conference is on Computational Vision and Bio Inspired computing. The topics include: Fruit classification using traditional machine learning and deep lear...
ISBN:
(纸本)9783030372170
The proceedings contain 147 papers. The special focus in this conference is on Computational Vision and Bio Inspired computing. The topics include: Fruit classification using traditional machine learning and deep learning approach;blind guidance system;a novel multimodal biometrics system with fingerprint and gait recognition traits using contourlet derivative weighted rank fusion;implementation of real-time skin segmentation based on K-means clustering method;an image processing based approach for monitoring changes in webpages;Vehicle detection using point cloud and 3D LIDAR sensor to draw 3D bounding box;An experiment with random walks and GrabCut in one cut interactive image segmentation techniques on MRI images;a comprehensive survey on web recommendations systems.with special focus on filtering techniques and usage of machine learning;a review on business intelligence systems.using artificial intelligence;image completion of highly noisy images using deep learning;virtual vision for blind people using mobile camera and sonar sensors;supervised and unsupervised learning applied to Crowdfunding;study on performance of classification algorithms based on the sample size for crop prediction;global normalization for fingerprint image enhancement;recurrent neural network for content based image retrieval using image captioning model;using deep learning on satellite images to identify deforestation/afforestation;an application of cellular automata: Satellite image classification;morlet wavelet threshold based glow warm optimized X-means clustering for forest fire detection;advance assessment of neural network for identification of diabetic nephropathy using renal biopsies images;advanced techniques to enhance human visual ability – A review;FSO: Issues, challenges and heuristic solutions.
System-level details, such as assembly language and operating systems. are important to develop/debug embedded systems.and analyze malware. Therefore it is recommended to teach every topic of these subjects. However, ...
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ISBN:
(纸本)9789897584176
System-level details, such as assembly language and operating systems. are important to develop/debug embedded systems.and analyze malware. Therefore it is recommended to teach every topic of these subjects. However, their learning cost has been significantly increased due to current system complexities. To solve this problem, several visualization techniques have been proposed to help students in their learning process. However, observing only the computer system behaviors may be insufficient to apply it to real systems.due to the lack of practical experiences and a comprehensive understanding of system-level details. To address these issues, we propose a novel methodology where students implement a virtual machine instead of using existing ones. This virtual machine needs to execute binary programs that can be run on a real operating system. Through implementing this virtual machine, students improve by experience their understanding of computer architecture, assembly languages, instruction sets, and the role of operating systems. We also provide MMVM that is a virtual machine implementation reference, and can execute the binary programs while showing the internal states of CPU (registers & flags) to users (students) to support their implementation. Finally, this paper reports the education results applying this methodology to 15 students that consist of 3rd-year students and 1st year of master students.
Large-scale high performance computing (HPC) systems.typically consist of many thousands of CPUs and storage units, while used by hundreds to thousands of users at the same time. Applications from these large numbers ...
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ISBN:
(纸本)9781450370523
Large-scale high performance computing (HPC) systems.typically consist of many thousands of CPUs and storage units, while used by hundreds to thousands of users at the same time. Applications from these large numbers of users have diverse characteristics, such as varying compute, communication, memory, and I/O intensiveness. A good understanding of the performance characteristics of each user application is important for job scheduling and resource provisioning. Among these performance characteristics, the I/O performance is difficult to predict because the I/O system software is complex, the I/O system is shared among all users, and the I/O operations also heavily rely on networking systems. To improve the prediction of the I/O performance on HPC systems. we propose to integrate information from a number of different system logs and develop a regression-based approach that dynamically selects the most relevant features from the most recent log entries, and automatically select the best regression algorithm for the prediction task. Evaluation results show that our proposed scheme can predict the I/O performance with up to 84% prediction accuracy in the case of the I/O-intensive applications using the logs from CORI supercomputer at NERSC.
The proceedings contain 54 papers. The special focus in this conference is on Advanced computing and Intelligent Engineering. The topics include: Multi-verse Optimizer for Dynamic Stability Analysis Using STATCOM and ...
ISBN:
(纸本)9789811514821
The proceedings contain 54 papers. The special focus in this conference is on Advanced computing and Intelligent Engineering. The topics include: Multi-verse Optimizer for Dynamic Stability Analysis Using STATCOM and Power System Stabilizer;Performance Analysis of a Coordinated PID- and UPFC-Based Stabilizer for Stability Improvement;design of Low Power Reduced Complexity Wallace Tree Multiplier Using Positive Feedback Adiabatic Logic;Low-Power 8-Bit Adiabatic Barrel Shifter for DSP Applications;high-Speed Loop Unrolled Grain Architecture in Reconfigurable Hardware;automated Red Lesion Detection: An Overview;enhanced Performance of Android Application Using RecyclerView;personalized Web Search;cooperative Game Theory-Based Request Distribution Model in Federated Cloud Environment;Current Control of a CHB Multilevel Inverter Using PR and Adaptive Fuzzy PI Controller: A Comparison;a Monarch Butterfly Optimization Approach to Dynamic Task Scheduling;automation of Traffic Violation Detection and Penalization;secure Big Data Deduplication with Dynamic Ownership Management in Cloud computing;characterization of Range for Smart Home Sensors Using Tsallis’ Entropy Framework;call Data Analytics Using Big Data;lightweight, Scalable and Secure Middleware for Service-Centric Context-Aware Applications;security Issues in IoT and their Countermeasures in Smart City Applications;an Efficient Approach for Running Multimedia Applications Using Mobile Cloud computing;a Comparative Study of Task Scheduling Algorithm in Cloud computing;offer Based Auction Mechanism for Virtual Machine Allocation in Cloud Environment;Pyramid Entropy Source for True Random Number Generator on FPGA;ioT-Based Cardiac Arrest Prediction Through Heart Variability Analysis;application of Group Mobility Model for Ad Hoc Network;vulnerability Analysis of Real-Time Operating systems.for Wireless Sensor Networks.
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