The proceedings contain 287 papers. The topics discussed include: a user-friendly college recommending system using user-profiling and matrix factorization technique;improvement in BER performance of BPSK system using...
ISBN:
(纸本)9781509064717
The proceedings contain 287 papers. The topics discussed include: a user-friendly college recommending system using user-profiling and matrix factorization technique;improvement in BER performance of BPSK system using diversity techniques;sentiment analysis on product reviews;unsupervised learning dimensionality reduction algorithm PCA for face recognition;cause effect testing of flu in medical sciences;an efficient analysis of crop yield prediction using Hadoop framework based on random forest approach;classification of locomotive disorders based on stance parameters;role of association rules in medical examination records of gestational diabetes mellitus;investigation into the efficacy of geospatial big data visualization tools;understanding dynamics of trending topics in Twitter;Perfo's what you do with what you know;student academic performance and social behavior predictor using data mining techniques;humor grounded taxonomy of music by investigating expressive statistics using audio feature extraction;comparative study of rate of convergence & complex dynamics of trigonometric functions using Jungck Ishikawa iteration scheme;and effect of resistive feedback on performance parameters of common source LNA.
The proceedings contain 168 papers. The topics discussed include: data warehousing for formula one (racing) popularity rating using pentaho tools;optimized machine learning: training and classification performance usi...
ISBN:
(纸本)9781665414739
The proceedings contain 168 papers. The topics discussed include: data warehousing for formula one (racing) popularity rating using pentaho tools;optimized machine learning: training and classification performance using quantum computing;active power control of grid integrated multiple rooftop PV plant with power quality enhancement;large-scale solar photovoltaic grid integration with new cascaded VSC arrangement and modified switching technique;context-aware deep learning approach for answering questions;a review of defense against distributed dos attack based on artificial intelligence approaches;and distributed energy resources based EV charging station with seamless connection to grid.
The proceedings contain 146 papers. The topics discussed include: modified GSEE algorithm for hyperspectral endmember extraction;hybrid feature enhance filter (HFEF) for underwater vision navigation;a MMG indices-base...
ISBN:
(纸本)9781728163246
The proceedings contain 146 papers. The topics discussed include: modified GSEE algorithm for hyperspectral endmember extraction;hybrid feature enhance filter (HFEF) for underwater vision navigation;a MMG indices-based scheme for fault detection in series-compensated power transmission system;hybrid random forest and particle swarm optimization algorithm for solar radiation prediction;improving the cognitive levels of automatic generated questions using neuro-fuzzy approach in e-assessment;multi-species protein association prediction using residual graph convolutional network;estimation and validation of enhanced resolution brightness temperature products of SCATSAT-1;and fast charging stations supported by flywheel energy storage systems.
The proceedings contain 299 papers. The topics discussed include: social media based linking approach for finding the effectiveness of the social issues;an algorithm to mining sub-graphs from authors graph using graph...
ISBN:
(纸本)9781509016662
The proceedings contain 299 papers. The topics discussed include: social media based linking approach for finding the effectiveness of the social issues;an algorithm to mining sub-graphs from authors graph using graph mining techniques;adaptive system to learn and recognize emotional state of mind;a method for recognizing malignant Facebook application;effective collaborative movie recommender system using asymmetric user similarity and matrix factorization;insight of big data analytics in healthcare industry;PERSO-Retailer: modeling the retailer's business data toward recommender system of retailers' marketing plan for personalized CMS;METHS: mapping from English language to Hindi language for secure commercial transactions;a survey of particle swarm optimization and random forest based land cover classification;ant-lion optimization algorithm for solving real challenging constrained engineering optimization problems;weighted reduct selection metaheuristic based approach for rules reduction and visualization;a method to predict diagnostic codes for chronic diseases using machine learning techniques;enzyme vs. non-enzyme classification based on principal component analysis and AdaBoost classifier;and soft computing techniques to address various issues in wireless sensor networks: a survey.
The proceedings contain 9 papers. The topics discussed include: finding submerged aircraft through location transmission;automation in drinking and waste water management system;automated calligraphy system to ease wr...
ISBN:
(纸本)9781538619018
The proceedings contain 9 papers. The topics discussed include: finding submerged aircraft through location transmission;automation in drinking and waste water management system;automated calligraphy system to ease writing process;design of SIL2 based emergency shutdown system for gas compressor using PLC and SCADA;smart traffic control based on traffic density;intelligent level control in horizontal cylindrical tank;fuzzy logic based ph control of chemical process;fuzzy based fault detection and isolation of super heater faults in industrial boiler;and PI controller design using quantitative feedback theory for a flow process.
The proceedings contain 128 papers. The topics discussed include: event-triggered variance-constrained finite-horizon state estimation for discrete-time systems with redundant channels;distributed sampled-data Hinf st...
ISBN:
(纸本)9780701702618
The proceedings contain 128 papers. The topics discussed include: event-triggered variance-constrained finite-horizon state estimation for discrete-time systems with redundant channels;distributed sampled-data Hinf state estimation for sensor networks with nonuniform samplings;novel models for the extension pneumatic muscle actuator performances;a clustering approach to triage categorization in A&E departments;recursive filtering for two-dimensional systems with missing measurements subject to uncertain probabilities;a dynamic deformation based lubrication model between the piston rings and cylinder liner;effects of abrasive grit shape on grinding performance;neural learning and Kalman filtering enhanced teaching by demonstration for a Baxter robot;indoor object recognition using pre-trained convolutional neural network;analysis of the sitting posture comfort based on motion capture system and jack software;digital image classification and detection using a 2D-NARX model;the identification of shaft current induced defects on rolling bearings in wind turbine generators;early detection of rolling bearing faults using an auto-correlated envelope ensemble average;planetary gear fault diagnosis based on instantaneous angular speed analysis;effective task migration to reduce execution time in mobile cloud computing;a noncontact-sensor surveillance system towards assisting independent living for older people;nonlinear dynamic predictive model selection and interference using information criteria;and token passing techniques to support real time communications on WTPN used for industrial control applications.
The proceedings contain 213 papers. The topics discussed include: towards the modeling of complex communication networks in automationML;agent-based adaptation of automated manufacturing machines;a microservice-based ...
ISBN:
(纸本)9781509065059
The proceedings contain 213 papers. The topics discussed include: towards the modeling of complex communication networks in automationML;agent-based adaptation of automated manufacturing machines;a microservice-based architecture approach for the automation of modular process plants;exploring code clones in programmable logic controller software;a proposal for an interactive roundtrip engineering system;a proposal for an interactive roundtrip engineering system;and modular plant model synthesis from behavior traces and temporal properties.
A feature selection method based on intelligent dynamic swarm and fuzzy rough set is proposed in this paper, in which the fitness function is dependency measure. The proposed method can identify irrelevant and redunda...
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ISBN:
(纸本)9781509064717
A feature selection method based on intelligent dynamic swarm and fuzzy rough set is proposed in this paper, in which the fitness function is dependency measure. The proposed method can identify irrelevant and redundant features, and after dropping them produces the reduced feature set. Results found by this method have been compared with the results obtained using another established methods of particle swarm optimization for the same datasets. Results of the performed experiments shows that the proposed algorithm is able to select the best set of features and is faster than the particle swarm optimization method.
Machine Translation, sometimes referred by the acronym MT, is one of the important fields of study of computational linguistics that investigates the use of computer software to translate text or speech from one natur...
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ISBN:
(纸本)9781509064717
Machine Translation, sometimes referred by the acronym MT, is one of the important fields of study of computational linguistics that investigates the use of computer software to translate text or speech from one natural language to another. At its basic level, MT performs simple substitution of atomic words in one natural language for words in another language. Around the world, numerous systems are available in the market for the assessment of the translation being done by the various translation systems. Even within India, a large number of such evaluation systems are available and a lot of research is still going on to develop a better evaluation system which can beat the results produced by Human Evaluators. Even the main challenge before Indian Researchers is that the evaluation systems which are giving unbeatable results for the translation of Foreign languages (such as German, French, Chinese, etc.) are not even giving considerable results for the translation of Indian Languages (Hindi, Tamil, Telugu, Punjabi, etc.). So at par these evaluation systems cannot be applied as it is to evaluate Machine Translations of Indian Languages. Indian languages require a novel approach because of the relatively unrestricted order of words within a word group. In this paper, we are presenting an algorithm (by incorporating different modules of language models like synonym replacement, root word extraction and shallow parsing) which when applied upon the translation of English to Hindi text gives better evaluation results as compared to those algorithms which do not incorporate all these modules. Moreover, our study is limited to English to Hindi language pair and the testing is being with the corpora of agriculture domain.
To handle large amount of real-time data in cloud computing very efficient, secure and concurrent data management scheme is needed. Hence in this paper, Bloom Filter as Concurrency Controller (BFCC) is proposed that u...
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ISBN:
(纸本)9781509016662
To handle large amount of real-time data in cloud computing very efficient, secure and concurrent data management scheme is needed. Hence in this paper, Bloom Filter as Concurrency Controller (BFCC) is proposed that uses bloom filter technique for the version verification and identification that controls multiple version concurrencies (MVCC). Work is inspired from the fact that any automaton machine that relies on state transition from a network to support its operation, where one provides an input and gets desired output with the combinatory essence of predefined factors and formal systems following precise sequence of instructions. Thus, for the process validity and optimization automation is mapped with the proposed architecture which made the architecture more reliable and increasedlegitimacy&approachability over the cloud scenario.
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