Automation, Control and Intelligent Systems最新文献

{"title":"Upwind Horizontal Axis Wind Turbine Output Power Optimization via Artificial Intelligent Control System","authors":"Endale Haile, G. Worku, A. Beyene, M. Tuka","doi":"10.11648/J.ACIS.20210901.13","DOIUrl":"https://doi.org/10.11648/J.ACIS.20210901.13","url":null,"abstract":"Power capturing capacity is one of the key performance indicators of wind turbines. This article presents a study done on the optimization of output power of upwind horizontal axis wind turbine using artificially intelligent control system. The study shows how blade tip speed ratio (λ) and pitch angle (β) are optimized to increase wind turbines power conversion coefficient (Cp) which increases the output power. An artificial intelligence system named Mandani fuzzy inference system (MFIS) was applied to optimize the power conversion coefficient in combination with blade pitch actuator control. To this end, a novel optimization technique is designed that maximizes the power harvesting ability of wind turbines by updating the parameters of the membership functions of fuzzy logic found in the MFIS. With the application of this optimization method, a power conversion coefficient Cp of 0.5608 value is achieved at optimal values of λ and β. As a result, the energy harvesting ability of the wind turbine considered is improved by 16.74%. This study clearly shows that the wind energy harvesting capacity of wind turbines can be enhanced via optimization techniques that could be further implemented in wind turbine blade pitch drive system. Thus, this novel optimization method creates further insights for the wind energy industry in reducing the cost of energy generation.","PeriodicalId":205084,"journal":{"name":"Automation, Control and Intelligent Systems","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117350710","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Evaluation of Ethiopian Influenza Sentinel Surveillance System","authors":"D. Takele, S. Mohamed","doi":"10.11648/J.ACIS.20210901.12","DOIUrl":"https://doi.org/10.11648/J.ACIS.20210901.12","url":null,"abstract":"Background: Ethiopia conducts influenza sentinel surveillance since 2008 in eight sites through the coordination of Ethiopian Public Health Institute although little is known whether the system meets its objective. Hence, this evaluation is conducted to evaluate the sentinel surveillance attributes, purposes and its operation system. Method: A cross-sectional descriptive study was conducted from February 15-30, 2017 in all eight Sentinel sites. Data were collected using US-CDC updated surveillance guideline and Interview with influenza sentinel surveillance focal persons, regional public health emergency officers and national surveillance officers. Case based reports of influenza like illness and severe acute respiratory illness were also reviewed. Secondary data were collected from the national public health emergency management center based at EPHI. We analyzed and compiled the data. Results: Not all the visited health facilities have posted the ILI and SARI cases definition. None of the sentinel sites have been reporting influenza data to their next higher level but to the national PHEM (NIL). All focal persons have responded that they are expected to do so. Data is only being analyzed by national PHEM. Supportive supervision was done this month (February, 2017) since 2014. Laboratory feedback (test result) has been provided irregularly since May 2016 by the national influenza laboratory to sentinel sites and respective regional PHEM. All of focal persons have taken training on influenza surveillance. The positive predictive value (PPV) was 21.35% (n=4922). Among a total of 5,097 case based reports from 2008-2016, 47 (0.9%) age variable, 385 (7.5%) temperature variable, and 103 (2%) date of specimen collection were not filled. Conclusion: Although focal persons are satisfied with the forms and procedures involved, they are not filling formats properly as expected and reporting regularly as scheduled neither to the national PHEM nor to the next higher level. The influenza sentinel surveillance system has proven to be useful in providing virological data used to characterize and monitor influenza trends in Ethiopia. Continuous supportive supervision should be in placed using checklist to increase the quality of data. Data should be continuously analyzed and feedback should be given periodically to health care provider and partners.","PeriodicalId":205084,"journal":{"name":"Automation, Control and Intelligent Systems","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123431670","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Development of Artificial Intelligence by Ensembles of Virtual Agents with Mobile Interaction","authors":"E. Bryndin","doi":"10.11648/J.ACIS.20200801.11","DOIUrl":"https://doi.org/10.11648/J.ACIS.20200801.11","url":null,"abstract":"Process automation, cloud technology, machine learning, big data analytics, and the Internet of Things have changed the fundamental pillars of the high-tech industry, according to Deloitte's report of Future of Working in the World of Technology. The Harvard Business Review Analytic Services study to marks the race for technology across all industries. The digital transformation of the high-tech industry and social sphere currently requires rapid reactions and flexible mobility. Smart collaboration agents are beginning to demonstrate the ability to work together effectively. Smart agent ensembles use information from technology platforms such as the European Technology Platform Future Manufacturing Technologies and analytics platforms such as Visiology, which quickly and efficiently addresses the challenges of collecting, analyzing and visualizing large amounts of data. Fast, efficient data collection and analysis of large amounts of data, flexible operational mobility of data updates, and synergistic open collaboration of smart agents with information platforms and analytical systems will help accelerate the digital transformation of the high-tech industry and social sphere by teaching new skills. Learning new skills can be done in a virtual space and then developed in a specific environment. The accumulation of professional experience in virtual space contributes to the development of artificial intelligence.","PeriodicalId":205084,"journal":{"name":"Automation, Control and Intelligent Systems","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114833427","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Automation of User Access Control Processes on the Educational Portal of Voronezh State University Based on Moodle E-learning System","authors":"A. Tolstobrov, A. Vasilev","doi":"10.11648/J.ACIS.20190706.11","DOIUrl":"https://doi.org/10.11648/J.ACIS.20190706.11","url":null,"abstract":"The article considers the issues of integration of the \"Electronic University of VSU\" educational portal (basing of Moodle e-learning system) with the educational process management information system of the university. The purpose of this is to automate the services on linking e-learning courses with the disciplines of curricula of educational programs, subscription of students to e-learning courses and unsubscribing from them at the end of their studies, and also retrieving account authentication data for all users of the portal-teachers and students. A large number of students and training courses determine the high workload of the portal users, including administrators. To address this, several software modules interfacing the Moodle system were developed. Among them are the module that allows an e-course teacher to link their course to one or more specific disciplines of actual curricula of the university's educational programs. Another one is the module of automated student group registration and their subscription to the corresponding e-courses, which implements services to automate the creation of accounts for students and subscribe the authorized students to the e-courses of their educational programs. The module that provides the service of unsubscribing from the e-learning course for students who have completed the course is also described. Finally, the module that automates processing of users' requests related to their problems with access to the portal. This service is designed to ensure that all the manipulations on the registration of students and subscription of students to the courses are carried out by persons in charge of electronic courses without the need to address them to the staff of deaneries and portal administrators.","PeriodicalId":205084,"journal":{"name":"Automation, Control and Intelligent Systems","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116189919","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Layered Feature Recognition Algorithm Based on Combined Convolution","authors":"Zhao Shuduo, Han Xu, Jin Xu, Haiyun Chen, Feng Guanqin, Ma Chenxin, Zhou Wenhao","doi":"10.11648/J.ACIS.20190704.11","DOIUrl":"https://doi.org/10.11648/J.ACIS.20190704.11","url":null,"abstract":"In recent years, the deep learning algorithms were gradually understood and accepted. It needs to take too many samples to train. Since the implementation of deep learning algorithm, it seems that the past classical algorithms have become gloomy. In this paper, we get an intelligent pattern recognition model by combining some classical algorithms in the past and extrapolating the convolution algorithm. This new model is based on a single regular sample, with its advanced generalization capabilities far beyond those of deep learning algorithms. Experimental results on MNIST, QMNIST, CMU PIE and Extended Yale B databases indicate that the proposed model is better than the related methods as compared with.","PeriodicalId":205084,"journal":{"name":"Automation, Control and Intelligent Systems","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127889874","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Improved Wiener Filter Algorithm for Speech Enhancement","authors":"Zhao Yan-lei, Ou Shifeng, Gao Ying","doi":"10.11648/J.ACIS.20190703.13","DOIUrl":"https://doi.org/10.11648/J.ACIS.20190703.13","url":null,"abstract":"Most of the existing speech enhancement algorithms are aimed at improving the quality of speech, and the algorithms that can improve the speech intelligibility effectively are rare. Speech intelligibility has been found to improve listening comfort and it is generally related to the distortion of the speech signal closely. Studies have assessed the impact of speech distortion introduced by gain functions and shown that one of the main reasons that existing algorithms cannot improve speech intelligibility is because they allow amplification distortions more than 6dB. Therefore, these distortions of the enhanced amplitude spectrum should be corrected to improve the speech intelligibility. The early research by Loizou et al. obtained the experimental results on the ideal state and we are unable to use it in reality because there is no clean speech in reality. In this paper, we modify the method proposed by Loizou et al. and select the estimated speech under two hypothetical conditions to verify the improvement of the speech intelligibility. The short-term objective intelligibility value verifies the improvement of speech intelligibility as the improved algorithm of speech intelligibility is applied to reality successfully.","PeriodicalId":205084,"journal":{"name":"Automation, Control and Intelligent Systems","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134567171","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The Research of the V-I Characteristics of a Solar Panel Using a Computerized Measuring Bench “EPH 2 Advanced Photovoltaics Trainer”","authors":"Mirzayev Uchqun, Tulakov Jahongir","doi":"10.11648/J.ACIS.20190703.11","DOIUrl":"https://doi.org/10.11648/J.ACIS.20190703.11","url":null,"abstract":"At present, much attention is paid to the use of solar energy. Solar energy, in addition to traditional energy, is ecologically clean while changing. The rarity and the rising cost of fuel is one of the main problems of the scientific technique, which is the acquisition of infinite resources of solar energy. Further research and experiments on the use of solar energy, as well as the use of solar power plants in a number of countries, shows that solar energy can be widely used today based on modern technical capacities. In order to determine the need to use a charger, it is necessary to know a number of parameters: short circuit current, no-load voltage, efficiency, etc. In this work, these parameters are estimated from the results of studies of the current-voltage characteristic of a solar panel obtained in automatic mode using a computer and digital measuring device \"EPH 2 Advanced photovoltaics trainer\".","PeriodicalId":205084,"journal":{"name":"Automation, Control and Intelligent Systems","volume":"51 4","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132836759","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Signs and Pedestrian Safety in Automated Transportation Systems","authors":"Haiyan Xie, Luke Verplaetse","doi":"10.11648/J.ACIS.20190701.16","DOIUrl":"https://doi.org/10.11648/J.ACIS.20190701.16","url":null,"abstract":"Motor-vehicle accidents have caused many safety concerns ever since cars have been on the road. With the implementation of cooperative and automated vehicles (CAVs) merging into the current crosswalks, signals, and concrete rules, the vehicle-pedestrian interactions create noteworthy safety issues. Through observational findings, intersections with higher signage and pedestrian signals had less likely of a chance for pedestrians to run into an altercation when compared to intersections with just crosswalks and no pedestrian signals. This research presents an optimization framework and an analytical solution with field observations to study whether the implementation of more pedestrian signals could have a great effect on vehicle/pedestrian incidents. The research implements the integrated methods of case studies, modeling and simulation using mathematical and statistical software on correlations and probabilities. This study adds minimal interference to the observations as they naturally occur. The study setting is non-contrived and maintained as natural environment. The collected data is continuous time series and measured using Chi-Square for analysis. After the identification of possible interactions between CAVs and pedestrians based on the data surveyed around the Illinois State University (ISU), this study finds that the safety of pedestrian relies on the intersection design of signs and signals more than the intelligence of CAVs (significance level = 95%). This paper also discusses law enforcement and autonomous driving as a means of lowering pedestrian incidents at intersections. The developed mathematical analysis model and simulations help to verify the influences of transportation signs and intersection designs. The investigation innovatively demonstrates the feasibilities of different methods to protect the pedestrian safety while they enter intersections. The findings from this research can provide decision support for future transportation design and implementation rules of CAVs.","PeriodicalId":205084,"journal":{"name":"Automation, Control and Intelligent Systems","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130616436","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"System Modeling and Controller Design for Lateral and Longitudinal Motion of F-16","authors":"Waqas Ahmed, Zhongjian Li, Hamid Maqsood, Bilal Anwar","doi":"10.11648/J.ACIS.20190701.15","DOIUrl":"https://doi.org/10.11648/J.ACIS.20190701.15","url":null,"abstract":"Classical control laws are still widely used in aviation industry because of their good structural understanding, simplicity, and better tracking control performance. However in recent decades the application of such controllers are getting substantial interest of researchers. This paper addresses controller design method for longitudinal and lateral motion autopilots of F-16. Aircraft complete mathematical model was obtained using Newton-Euler formulism. The non-linear model was linearized around equilibrium points at certain trim conditions to obtain state space model of the system. Comparative analysis of two linear controllers, Proportional-Integral-Derivative (PID) and Linear-Quadratic-Regulator (LQR) is investigated and control algorithm is proposed. Both the control schemes use feedback control laws and a careful selection of tuning parameters for controllers is carried out to track the desired input reference. Effectiveness of both controllers is illustrated with the help Matlab/Simulink figures and results.","PeriodicalId":205084,"journal":{"name":"Automation, Control and Intelligent Systems","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129582060","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Research on Information Disclosure of Social Responsibility of Petroleum Enterprises in China—Take Petro China (Company Code: 601857) as an Example","authors":"Jingyuan Fu, Zhi-da Guo, J. Hong","doi":"10.11648/J.ACIS.20190702.11","DOIUrl":"https://doi.org/10.11648/J.ACIS.20190702.11","url":null,"abstract":"With the economic globalization and the rapid development of enterprises, issues related to petroleum leakage, food safety and environmental pollution have become more and more severe, directly affecting human living environment, social harmony and the development of enterprises. At the same time, many listed companies begin to focus on releasing reports with respect to social responsibility, sustainable progress and environmental protection. Using the social responsibility report of Petro China Co. Ltd. as a case, this paper analyzes the current situation of social responsibility information disclosure of China's petroleum enterprises and existing problems in order to provide suggestions for improving the social responsibility information disclosure quality of petroleum enterprises.","PeriodicalId":205084,"journal":{"name":"Automation, Control and Intelligent Systems","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129633811","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}