As technologies are advancing, demand for an intelligent mobile robot also increases. In autonomous robot design, the main problem faced by researchers is the path planning of mobile robot. Various kind of path planni...
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The proceedings contain 111 papers. The topics discussed include: design of food safety management information system for western restaurant;research on enterprises’ response to emergencies based on machine learning;...
ISBN:
(纸本)9798350320404
The proceedings contain 111 papers. The topics discussed include: design of food safety management information system for western restaurant;research on enterprises’ response to emergencies based on machine learning;design and application of crop variety recommendation and production decision system in agricultural production;research on network structure analysis of English learning in social media;research on the prediction of e-commerce platform user churn based on random forest model;gazetteer enhanced named entity recognition for musical user-generated content;an application study of stochastic service systems based on operations search;risk early warning and response of PPP projects in characteristic towns based on fuzzy group decision- making and matter-element model;design and realization of an online examination system based on maven framework;design and implementation of dynamic interactive e-book system;optimization method for cloud service composition of machine tools under multiple constraints;application of environmental monitoring and control system in agricultural production;and design and implementation of warehouse management system based on Vuetify 3.0 framework.
In this paper, we present a novel deterministic heuristic and a new genetic algorithm to solve the problem of optimal triangulation of Bayesian networks. The heuristic, named MinFillWeight, aims to select variables mi...
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ISBN:
(纸本)9780769539232
In this paper, we present a novel deterministic heuristic and a new genetic algorithm to solve the problem of optimal triangulation of Bayesian networks. The heuristic, named MinFillWeight, aims to select variables minimizing the multiplication of the weights on nodes of fill-in edges. The genetic algorithm, named GA-MFW, uses a new rank-reserving crossover operator and a 2-fold mutation mechanism utilizing the MinFillWeight heuristic. Experiments on representative benchmark show that the deterministic heuristic and the stochastic algorithm have good performance and stability to various problems.
This research describes the design of an Artificially intelligent Personal Assistant (AIPA) system that uses concepts from the artificial neural networks, a triple-based knowledge representation that is used for both ...
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ISBN:
(纸本)9783038352297
This research describes the design of an Artificially intelligent Personal Assistant (AIPA) system that uses concepts from the artificial neural networks, a triple-based knowledge representation that is used for both an ontology and its binary relationships, fast access via hash functions, and Class Algebra as the theoretical basis. The purpose of the research and implementation is to make it more convenient for people to use Chinese to communicate with computers. Through artificial intelligent natural language technology, not only are the users able to colloquially to communicate with AIPA, but the system can also identify the users' commands to bridge the Google search engine. Therefore, users can efficiently search for information or execute programs by using AIPA.
The next generation of Artificial Superintelligence (ASI) poses a variety of important societal problems, including the possible crises and upheavals of the AI machine, which could cause fundamental changes. As the di...
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Distributed training is widely used in training large-scale deep learning models, and data parallelism is one of the dominant approaches. Data-parallel training has additional communication overhead, which might be th...
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This research paper provides a detailed explanation about the implementation strategy of the code analyser component of the rule-based self-learning model for automatic evaluation of C++ programs Christian (Informatio...
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ISBN:
(纸本)9789811317477;9789811317460
This research paper provides a detailed explanation about the implementation strategy of the code analyser component of the rule-based self-learning model for automatic evaluation of C++ programs Christian (Information and Communication Technology for Sustainable Development. conference 2017, vol 9, pp 469, Springer, 2017, [1]). The main idea of this paper is to enlighten the procedure through which the first and the foremost component of the referred and targeted model can be implemented. This research paper also focuses on the rule formation style and also how different grades can be incorporated to achieve the grade analysing part of the model. Also, the research paper explains generic nature of the implementation strategy and various ways in which it can be extended as well as moderated for further scope of model implementation.
Efficient production planning requires well-structured models compatible with metaheuristic and other optimization techniques. This study compares three established metaheuristic methods - sanitized-teaching-learning-...
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Biometric recognition system plays a vital role for identifying the person automatically using the characteristic vector from its behavioral or physiological characteristics. In recent days, recognition system based o...
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This paper presents a hybrid method for normalizing written text often found on newspapers to its spoken form. To normalize raw text with a number of non-standard words (NSWs), a two-step model is proposed. The first ...
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ISBN:
(纸本)9781450362795
This paper presents a hybrid method for normalizing written text often found on newspapers to its spoken form. To normalize raw text with a number of non-standard words (NSWs), a two-step model is proposed. The first step involves classifying NSWs into different categories using Random Forest. The latter one is to expand them, depending on their NSW types, into pronounceable syllables using a hybrid method. Most of numeric types can be expanded by well-defined rules while most of alphabetic ones must be expanded by a deep learning (i.e. sequence-to-sequence) model and a post adjustment. The experiment on a Vietnamese corpus with proposed NSW categories shows that the most ambiguous cases of the classification model are for abbreviation and read-as-sequence types, hence combined into one category for the latter expansion with more complex model and better context. The classification model gives an enhanced result of 99.20% with the category combination and the feature optimization. In the expansion, the sequence-to-sequence model shows a good result of 96.53% for abbreviations and 96.25% for loanwords with a post-adjustment for some completely wrong cases. This model can predict effectively the expansions of abbreviations in context.
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