Impact of Statistical Intelligent Analysis on Corona Virus Disease

2022 ◽  
pp. 84-102
Author(s):  
Kanak Saxena ◽  
Umesh Banodha
Keyword(s):  
Intelligent Agents ◽  
Intelligent System ◽  
Virus Disease ◽  
High Reliability ◽  
Path Selection ◽  
Intelligence Analysis ◽  
Analysis Model ◽  
Intelligent Analysis ◽  
Value Learning ◽  
Cost Factors

Statistical intelligence formulates the analysis model and reveals the system that can be easily visible and understandable to mankind. On one hand, it will benefit the society to predict the nature or man-created virus environment, and on the other hand, it will solve the problems of intelligent agents' formation with their functionality. It's a well-known fact that the agents are visible and noticeable, and they perform their own assigned task, but their recognition process is delayed. The chapter will focus on the statistical intelligence analysis that includes the properties of the error tolerance, forecasting, and high reliability. The information is always the part of the memory, but the processing methodology that may lead to knowledge is lacking. This may include the logical induction, Bayesian statistics, functional decision theory, value learning, forecasting, etc. Statistics will assist in path selection to formulate the highly adaptive intelligent system with the said functionalities with reduction in the overall cost factors.

The intelligence analysis of personal characters about ordinary world

2019 ◽  
Author(s):  
Ying Yuan
Keyword(s):  
Subjective Experience ◽  
Reading Level ◽  
Big Five Personality ◽  
Intelligence Analysis ◽  
The Novel ◽  
Analysis Method ◽  
Psychological Analysis ◽  
Intelligent Analysis ◽  
Personality Prediction ◽  
Analysis System

Abstract Psychological analysis of characters in ordinary novels is mainly a qualitative analysis, which is easily affected by the researchers’ reading level, theoretical literacy, subjective experience, and other factors. With the development of computer technology and big data, stable and systematic personality can more accurately describe the psychology of text characters. This article adopts the method of literary intelligence analysis based on data mining and statistics, through the Chinese psychological analysis system, the language of the characters in the novel of ordinary world can be counted, processed, and disposed, and then obtains the big five personality prediction scores of the characters. Furthermore, the validity of the intelligent analysis method is confirmed by examining the verification of the predictive scores in the text and literature. After verification by many parties, the predicted results of this article are supported by the text and literature, which shows that literary intelligence analysis of novel characters’ personalities is effective.

Design of Intelligent Winding Machine for Tassel Thread Based on Stepping Motor

2012 ◽  
Vol 189 ◽  
pp. 317-320
Author(s):  
Hong Shen ◽  
Feng Shao ◽  
Jun Peng Xu
Keyword(s):  
Simple Structure ◽  
Intelligent System ◽  
Rotation Speed ◽  
High Reliability ◽  
Low Cost ◽  
Production Quality ◽  
Stepping Motor ◽  
Precise Control ◽  
Winding Machine ◽  
Thread Problem

On account of the end splitting and dropping thread problem for domestic winding machine during tassel thread production process at present, an intelligent system with subdivision driving module TB6560AHQ and SANYO stepping motor was designed, which adopted the ATMEL89S52 MCU as the core controller. The system achieved precise control of some parameters during the course of tassel thread winding such as torque, direction of rotation, speed, cycle laps, twist, etc. It also reduced the worker’s labour intensity and improved the production quality and efficiency of the tassel manufacturing, moreover, this winding machine has the advantages of simple structure, high torque, high reliability and low cost. It can meet the various control requirements for different tassel thread winding and have a considerable market prospect.

Development of a Multi-Project Production Planning and Scheduling System With Agent Technology

2008 ◽  
Author(s):  
Xutang Zhang ◽  
Xinhua Liu ◽  
Gaoliang Peng
Keyword(s):  
Production Planning ◽  
Intelligent Agents ◽  
Intelligent System ◽  
Comprehensive Evaluation ◽  
Fuzzy Comprehensive Evaluation ◽  
Agent Technology ◽  
Planning And Scheduling ◽  
Agent Based ◽  
Production Planning And Scheduling ◽  
Definition Of

This study intends to propose an intelligent system with agent technology in order to realize integration and cooperation of multi-project production planning and scheduling process. The agent-based system framework, in which various intelligent agents worked together to perform multi-project production planning and scheduling tasks in an autonomous and collaborative way, is put forward. The system consists of three categories of agents and functional definition of each intelligent agent is presented. Moreover, agents communication mechanism and cooperation sequence diagram are proposed. Furthermore, an intelligent algorithm based on fuzzy comprehensive evaluation is designed to resolve competition conflicts among the agents. Finally, an experiment example was illustrated and the algorithm was demonstrated feasible and efficient.

An Intelligent System for Spur Gear Design and Analysis

2001 ◽  
Author(s):  
El-Sayed Aziz ◽  
C. Chassapis
Keyword(s):  
Finite Element ◽  
Closed Form ◽  
Intelligent System ◽  
Tooth Profile ◽  
Hertzian Contact ◽  
Design Parameters ◽  
Analysis Model ◽  
Closed Form Solutions ◽  
Gear Teeth ◽  
Gear Design

Abstract A methodology for the analysis of load distribution and contact stress on gear teeth, which utilizes a combination of closed form solutions and two-dimensional finite element methods, within a constraint-based knowledge-based environment, is presented. Once the design parameters are specified, the complete process of generating the analysis model, starting from the determination of the coordinates of the tooth profile, the creation of a sector of the mating gear teeth, automatic mesh generation, boundary conditions and loading, is totally automated and transparent to the designer. The effects of non-standard geometry, load sharing on the contact zone, friction and root stresses are easily included in the model. The Finite Element Method (FEM) based results compare favorably with those obtained from closed form solutions (AGMA equations and classical Hertzian contact solution). The advantage of the approach rests in the ability to modify any of the gear design parameters such as diametral pitch, tooth profile modification etc., in an automated manner along with obtaining a better estimation of the risks of failure of the gear design on hand. The procedure may be easily extended to other types of gearing systems.

Intelligent system for university legal education

2020 ◽  
pp. 1-12
Author(s):  
Hesheng Xu
Keyword(s):  
Personal Development ◽  
Intelligent System ◽  
Legal Education ◽  
Application Rate ◽  
Traditional Teaching ◽  
Rate System ◽  
Operation Process ◽  
Intelligent Analysis ◽  
The University ◽  
Study Designs

University legal education is of great significance to the personal development and social stability of college students. At present, there are certain problems in the traditional teaching system, which has led to inefficient university legal education. In order to improve the legal teaching effect of the university, based on machine learning and neural networks, this paper integrates and optimizes the original hardware and software and operation process, and further highlights the functions of interconnection and sharing, automatic sensing, real-time recording, interactive feedback, dynamic supervision, and intelligent analysis, which greatly facilitates the evaluation of teaching at all levels. In particular, this study uses big data technology to conduct an intelligent analysis of data completeness, multimedia application rate, system execution, and average test scores, and scientifically evaluates the implementation of basic-level education systems and the effectiveness of education, which can effectively solve the problems of quantitative formalization and qualitative subjectivity of current education evaluation from a technical level. In addition, this study designs a control experiment to analyze the system performance. The research results show that the model proposed in this paper has a certain effect.

An Intelligent Analysis Model for Multisource Volatile Memory

2013 ◽  
Vol 8 (11) ◽  
Author(s):  
Xiaolu Zhang ◽  
Liang Hu ◽  
Shinan Song ◽  
Zhenzhen Xie ◽  
Xiangyu Meng ◽  
...  
Keyword(s):  
Analysis Model ◽  
Intelligent Analysis ◽  
Volatile Memory

scholarly journals Research on multi-sensor information fusion and intelligent optimization algorithm and related topics of mobile robots

2021 ◽  
Vol 2021 (1) ◽  
Author(s):  
Yuan Guo ◽  
Xiaoyan Fang ◽  
Zhenbiao Dong ◽  
Honglin Mi
Keyword(s):  
Mobile Robot ◽  
Mobile Robots ◽  
Information Fusion ◽  
Intelligent System ◽  
High Reliability ◽  
High Tech ◽  
Intelligent Optimization ◽  
Excellent Research ◽  
Sensor Information ◽  
Equalization Method

AbstractResearch on mobile robots began in the late 1960s. Mobile robots are a typical autonomous intelligent system and a hot spot in the high-tech field. They are the intersection of multiple technical disciplines such as computer artificial intelligence, robotics, control theory and electronic technology. The product not only has potentially very attractive application value and commercial value, but the research on it is also a challenge to intelligent technology. The development of mobile robots provides excellent research for various intelligent technologies and solutions. This dissertation aims to study the research of multi-sensor information fusion and intelligent optimization methods and the methods of applying them to mobile robot related technologies, and in-depth study of the construction of mobile robot maps from the perspective of multi-sensor information fusion. And, in order to achieve this function, combined with autonomous exploration and other related theories and algorithms, combined with the Robot Operating System (ROS). This paper proposes the area equalization method, equalization method, fuzzy neural network and other methods to promote the realization of related technologies. At the same time, this paper conducts simulation research based on the SLAM comprehensive experiment of the JNPF-4WD square mobile robot. On this basis, the high precision and high reliability of robot positioning are further realized. The experimental results in this paper show that the maximum error of the X-axis and Y-axis, FastSLAM algorithm is smaller than EKF algorithm, and the improved FASTSALM algorithm error is further reduced compared with the original FastSLAM algorithm, the value is less than 0.1.

scholarly journals Designing Intelligent Tutoring Systems: A Personalization Strategy using Case-Based Reasoning and Multi-Agent Systems

2013 ◽  
Vol 2 (1) ◽  
pp. 41-54
Author(s):  
Carolina González ◽  
Juan Carlos Burguillo ◽  
Martín Llamas ◽  
Rosalía Laza
Keyword(s):  
Intelligent Tutoring Systems ◽  
Intelligent Agents ◽  
Intelligent System ◽  
Intelligent Tutoring ◽  
Educational Systems ◽  
Case Based Reasoning ◽  
Multi Agent Systems ◽  
Tutoring Systems ◽  
Student Profile ◽  
Case Based

Intelligent Tutoring Systems (ITSs) are educational systems that use artificial intelligence techniques for representing the knowledge. ITSs design is often criticized for being a complex and challenging process. In this article, we propose a framework for the ITSs design using Case Based Reasoning (CBR) and Multiagent systems (MAS). The major advantage of using CBR is to allow the intelligent system to propose smart and quick solutions to problems, even in complex domains, avoiding the time necessary to derive those solutions from scratch. The use of intelligent agents and MAS architectures supports the retrieval of similar students models and the adaptation of teaching strategies according to the student profile. We describe deeply how the combination of both technologies helps to simplify the design of new ITSs and personalize the e-learning process for each student

scholarly journals Analysis of Risk Factors of Hospital Emergency Nursing Based on Comprehensive Nursing Methods

2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Fujuan Chen ◽  
Xueying Xiao ◽  
Youshan Ni ◽  
Yanan Zhu ◽  
Xiao Li
Keyword(s):  
Risk Factors ◽  
Emergency Treatment ◽  
Emergency Services ◽  
Evaluation Model ◽  
Scientific Concept ◽  
Actual Situation ◽  
Analysis Model ◽  
Hospital Emergency ◽  
Composition And Structure ◽  
Intelligent Analysis

In order to improve the comprehensive nursing effect of the hospital emergency treatment, this paper analyzes the process of the hospital emergency treatment. In addition, this paper combines the possible risks to analyze the risk factors of the comprehensive nursing in the hospital emergency treatment and builds an intelligent analysis model based on the actual situation of the hospital emergency treatment. At the same time, this paper conducts a systematic survey of emergency services and gives the composition and structure of the system. In addition, this paper divides the business required by the system into modules, including registration module, doctor workstation, nurse workstation, query statistics module, decision-making module, and maintenance module. Finally, this paper suggests that in the process of the clinical triage, more ideas for improving the existing evaluation model should be proposed, and experience should be transformed into advantages, so as to improve emergency triage skills; establish an objective, quantitative, and scientific concept of emergency classification and triage; and fully realize scientific triage and precise triage.

scholarly journals Knowledge, attitudes, practices, and the effects of COVID-19 on health seeking behaviors among young people in Kenya

2020 ◽  
Author(s):  
Evalin Karijo ◽  
Sylvia Wamugi ◽  
Samuel Lemanyishoe ◽  
Jenny Njuki ◽  
Faith Boit ◽  
...  
Keyword(s):  
Online Survey ◽  
Service Use ◽  
Virus Disease ◽  
Education Level ◽  
Sources Of Information ◽  
Analysis Model ◽  
Health Seeking ◽  
Cross Sectional ◽  
Significance Level ◽  
First Case

Abstract Background: The cases of Corona Virus Disease of 2019 (COVID-19) in Kenya have been increasing rapidly, since the first case was confirmed in early March, 2020. In the wake of the crisis around COVID-19, the health and socio-economic challenges experienced by Kenya’s largest demography, the youth, are likely to elevated. This study sought to establish knowledge levels, gaps and attitude of the youth with regards to COVID-19 and identify the effects of the pandemic on health seeking behaviour and socio-economic status of youth.Methods: A cross sectional descriptive study was conducted among 2,153 youth across 47 counties in Kenya, through a combined online survey and phone interviews. All survey responses analyzed using STATA v15 were tabulated by gender, age, education level to generate basic descriptive tables and tested for differences by category using chi-square tests with a significance level of 0.05. Where applicable linear and logistic regression analysis model was conducted with covariates such as employment status, gender and education level were used.Results: Knowledge on symptoms of COVID-19 was generally high. Female respondents were more likely to name more symptoms correctly compared to men; p<0.001. However, youth reported very low levels of anyone being at risk of infection (7%). Since they started receiving messaging on COVID-19, most youth have adopted behavior necessary to slow down the infection. There were generally very low reported levels of inability to access health services related to sexual and reproductive health. About 50% of respondents reported significant decline in income during the pandemic period, while nearly a third reported living in fear while 27% reported feeling stressed.Conclusion: Our study revealed considerably high knowledge of COVID-19 symptoms, preventive strategies and most commonly sources of information that are instructive for the pandemic response. Findings suggest messaging campaigns should focus on reaching clarifying risk groups. The need to track health service use among youth is essential to lay longer term strategies towards minimizing potential long-term consequences of the pandemic. Strategies to sustain behaviors positively adopted and leverage the vast network of youth as champions of behavior change will be critical to reduce the spread of COVID-19.

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