Pub Date : 2022-11-10DOI: 10.1109/I-SMAC55078.2022.9987372
Xiao-yu Li
The proposed study intends to develop a teaching model of "accounting positions + accounting skills + artificial intelligence", follow the teaching mode of "dual-certificate integration, industry-finance integration, situational teaching, and work-study integration", and build a competency-based accounting professional curriculum system. To build a framework for the integration of blockchain technology and Dongguan City, based on the connection and service of the Guangdong-Hong Kong-Macao Greater Bay Area, to discuss the construction of the blockchain public service platform system in Dongguan City, and to analyze the platform’s business needs and overall planning. Discuss the problems existing in the construction of the public service platform for small and medium-sized enterprises in industrial clusters, and analyze the causes of the problems. Starting from the teaching system, practical training cooperation, education funds, assessment system, etc., it proposes a new talent training model oriented by "ability-based".
{"title":"Development of Cloud Information Platform based on Blockchain Public Service Platform","authors":"Xiao-yu Li","doi":"10.1109/I-SMAC55078.2022.9987372","DOIUrl":"https://doi.org/10.1109/I-SMAC55078.2022.9987372","url":null,"abstract":"The proposed study intends to develop a teaching model of \"accounting positions + accounting skills + artificial intelligence\", follow the teaching mode of \"dual-certificate integration, industry-finance integration, situational teaching, and work-study integration\", and build a competency-based accounting professional curriculum system. To build a framework for the integration of blockchain technology and Dongguan City, based on the connection and service of the Guangdong-Hong Kong-Macao Greater Bay Area, to discuss the construction of the blockchain public service platform system in Dongguan City, and to analyze the platform’s business needs and overall planning. Discuss the problems existing in the construction of the public service platform for small and medium-sized enterprises in industrial clusters, and analyze the causes of the problems. Starting from the teaching system, practical training cooperation, education funds, assessment system, etc., it proposes a new talent training model oriented by \"ability-based\".","PeriodicalId":306129,"journal":{"name":"2022 Sixth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131499151","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}
Pub Date : 2022-11-10DOI: 10.1109/I-SMAC55078.2022.9987370
R. S. Kumar, R. V. Shanmathi, G. Mageswaran, J. Manikandan
With increasing distributed generations in the utility grid, the operation, control and stability of grid becomes challenging. Microgrid can be utilized to improve the transient stability of the grid in reducing the frequency and voltage fluctuations Solar PV and Batteries, which are a part of Microgrid, does not have any kinetic energy like conventional generators thus a controller is required to regulate constant power sharing. Droop control is the main concept where couples frequency with real power and voltage with reactive power and regulate frequency and voltage according to the variation in power with respect to load change without any communication. In conventional droop control, reactive power sharing is not accurate in case of inductive load and so virtual impedance is considered. The battery is used as a source for three-phase bidirectional converter and connected to grid through a switch. Different types of batteries can be connected in parallel to it with different converters. Bidirectional converters are used as it can work as inverter in discharging mode and it can work as rectifier in charging mode. It can work as microgrid and supply power to remote areas as there is no grid available. In the proposed control as battery is the source, battery’s SoC (State of Charge), capacity are taken in account with the conventional droop control in order to achieve accurate power sharing. The outputs of control is given as input to space vector PWM block which converts the voltage and its angle to time and gating pulses are given to the switches in the converter.
随着电网中分布式电源的不断增加，对电网的运行、控制和稳定性提出了挑战。微电网可以提高电网的暂态稳定性，减少频率和电压波动。作为微电网的一部分，太阳能光伏和电池不像传统发电机那样具有动能，因此需要一个控制器来调节恒定的功率共享。下垂控制的主要概念是将频率与实功率耦合，电压与无功功率耦合，根据功率相对于负载的变化来调节频率和电压，而不进行任何通信。在传统的下垂控制中，由于电感负载情况下无功分担不准确，需要考虑虚拟阻抗。该电池作为三相双向变换器的电源，通过开关与电网相连。不同类型的电池可以通过不同的转换器与之并联。采用双向变换器，因为它在放电模式下可以作为逆变器，在充电模式下可以作为整流器。它可以作为微电网，为没有电网的偏远地区供电。在以电池为电源的控制中，考虑电池的SoC (State of Charge)、容量与传统的下垂控制，以实现准确的功率共享。控制输出作为空间矢量PWM模块的输入，该模块将电压及其角度转换为时间，并将门控脉冲传递给变换器中的开关。
{"title":"Power Flow Analysis of Transient Stability in Microgrids used in Power Stations","authors":"R. S. Kumar, R. V. Shanmathi, G. Mageswaran, J. Manikandan","doi":"10.1109/I-SMAC55078.2022.9987370","DOIUrl":"https://doi.org/10.1109/I-SMAC55078.2022.9987370","url":null,"abstract":"With increasing distributed generations in the utility grid, the operation, control and stability of grid becomes challenging. Microgrid can be utilized to improve the transient stability of the grid in reducing the frequency and voltage fluctuations Solar PV and Batteries, which are a part of Microgrid, does not have any kinetic energy like conventional generators thus a controller is required to regulate constant power sharing. Droop control is the main concept where couples frequency with real power and voltage with reactive power and regulate frequency and voltage according to the variation in power with respect to load change without any communication. In conventional droop control, reactive power sharing is not accurate in case of inductive load and so virtual impedance is considered. The battery is used as a source for three-phase bidirectional converter and connected to grid through a switch. Different types of batteries can be connected in parallel to it with different converters. Bidirectional converters are used as it can work as inverter in discharging mode and it can work as rectifier in charging mode. It can work as microgrid and supply power to remote areas as there is no grid available. In the proposed control as battery is the source, battery’s SoC (State of Charge), capacity are taken in account with the conventional droop control in order to achieve accurate power sharing. The outputs of control is given as input to space vector PWM block which converts the voltage and its angle to time and gating pulses are given to the switches in the converter.","PeriodicalId":306129,"journal":{"name":"2022 Sixth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC)","volume":"107 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131691636","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}
Pub Date : 2022-11-10DOI: 10.1109/I-SMAC55078.2022.9987310
L. Koneru, Routhu Ramya Dedeepya, Angadi Lakshmi, G. K. Kumar
Wellbeing and health refer to a condition of complete mental, social and physical prosperity that go beyond the absence of sickness or deficiency. When distanced from genuine prosperity, individuals will generally ignore material and mental concerns and illnesses. Depending on the depth of experiences and accidental complications faced by the individual, these ailments have a wide range of effects. Ideally, it makes it impossible for individuals to live normal, merry lives, and without doubt, and eventually leads to deterioration. It can similarly provoke steady mental degradation, obstacle, control, or self-hurt in specific conditions. This research study intends to design and develop an AI-based profound prosperity assist application with a straightforward UI, which can be used to explore and survey mental prosperity characteristics, for instance, pressure levels, following sensations of uneasiness and required treatment using data assessment procedures. Natural Language Processing (NLP) approaches are being used for serving an arrangement of infections, addictions, and various issues. These NLP ways of managing plan are utilized to train an AI-based application, which consolidates a Chatbot with the relational information index to attract clients dynamically and give them the best, speedy, and convincing responses for their inquiries.
{"title":"Artificial Intelligence based Anxiety Detection in Patients","authors":"L. Koneru, Routhu Ramya Dedeepya, Angadi Lakshmi, G. K. Kumar","doi":"10.1109/I-SMAC55078.2022.9987310","DOIUrl":"https://doi.org/10.1109/I-SMAC55078.2022.9987310","url":null,"abstract":"Wellbeing and health refer to a condition of complete mental, social and physical prosperity that go beyond the absence of sickness or deficiency. When distanced from genuine prosperity, individuals will generally ignore material and mental concerns and illnesses. Depending on the depth of experiences and accidental complications faced by the individual, these ailments have a wide range of effects. Ideally, it makes it impossible for individuals to live normal, merry lives, and without doubt, and eventually leads to deterioration. It can similarly provoke steady mental degradation, obstacle, control, or self-hurt in specific conditions. This research study intends to design and develop an AI-based profound prosperity assist application with a straightforward UI, which can be used to explore and survey mental prosperity characteristics, for instance, pressure levels, following sensations of uneasiness and required treatment using data assessment procedures. Natural Language Processing (NLP) approaches are being used for serving an arrangement of infections, addictions, and various issues. These NLP ways of managing plan are utilized to train an AI-based application, which consolidates a Chatbot with the relational information index to attract clients dynamically and give them the best, speedy, and convincing responses for their inquiries.","PeriodicalId":306129,"journal":{"name":"2022 Sixth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC)","volume":"82 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131759607","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}
Pub Date : 2022-11-10DOI: 10.1109/I-SMAC55078.2022.9987262
K. Krishnareddy, T. Aravinda, K. Nair, Umesh Kumar Patel, Gaukhar Sadvokasova, V. S. Susan
Artificial Intelligence (AI) is a technology that is becoming more and more widely recognized with the addition of technologies such as personal helpers and chatbots. To get the most out of AI, your company needs to understand how to implement it better. Today, AI enhances almost every business segment and Customer Relationship Management (CRM), which is the area that has the most benefit in enhancing a better customer experience. The existing literature does not provide sufficient empirical evidence of how social media technologies affect a company’s distribution chain relationships. Today, Artificial Intelligence empowers almost every business segment and CRM, providing the greatest benefit in enhancing a better customer experience. The main purpose of this study is to show how to successfully implement chatbot in CRM using AI-based Fuzzy Clustering system (AI-FCS), how to integrate chatbot with CRM and how chatbots affect customer relationship management. From forecast lead scoring to service chatbots to customized marketing operations. Chatbots can provide tools to provide a highly productive and better, personalized customer experience to all employees. Chatbots are now easily accessible to everyone in your organization, analyzing data, predicting and planning the next steps, and automating tasks and decisions. Create an optimal control model for Customer Relationship Management using the optimal control theory, depending on the characteristics of customer relationship management. With this model, it can gain effective management insights into Customer Relationship Management for optimal new customer acquisition and existing customer retention strategies.
{"title":"AI-based Fuzzy Clustering System for Improving Customer Relationship Management","authors":"K. Krishnareddy, T. Aravinda, K. Nair, Umesh Kumar Patel, Gaukhar Sadvokasova, V. S. Susan","doi":"10.1109/I-SMAC55078.2022.9987262","DOIUrl":"https://doi.org/10.1109/I-SMAC55078.2022.9987262","url":null,"abstract":"Artificial Intelligence (AI) is a technology that is becoming more and more widely recognized with the addition of technologies such as personal helpers and chatbots. To get the most out of AI, your company needs to understand how to implement it better. Today, AI enhances almost every business segment and Customer Relationship Management (CRM), which is the area that has the most benefit in enhancing a better customer experience. The existing literature does not provide sufficient empirical evidence of how social media technologies affect a company’s distribution chain relationships. Today, Artificial Intelligence empowers almost every business segment and CRM, providing the greatest benefit in enhancing a better customer experience. The main purpose of this study is to show how to successfully implement chatbot in CRM using AI-based Fuzzy Clustering system (AI-FCS), how to integrate chatbot with CRM and how chatbots affect customer relationship management. From forecast lead scoring to service chatbots to customized marketing operations. Chatbots can provide tools to provide a highly productive and better, personalized customer experience to all employees. Chatbots are now easily accessible to everyone in your organization, analyzing data, predicting and planning the next steps, and automating tasks and decisions. Create an optimal control model for Customer Relationship Management using the optimal control theory, depending on the characteristics of customer relationship management. With this model, it can gain effective management insights into Customer Relationship Management for optimal new customer acquisition and existing customer retention strategies.","PeriodicalId":306129,"journal":{"name":"2022 Sixth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC)","volume":"52 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120982194","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}
Pub Date : 2022-11-10DOI: 10.1109/I-SMAC55078.2022.9987396
Li Zhujian
The rapid development and multi-field application of virtual reality technology also provide conditions and foundations for the successful application of virtual reality technology in libraries. Among them, the combination of virtual reality technology and the construction of library information resources can give full play to the advantages of virtual reality technology. 4G network, with the advantages of high-speed data transmission, affordable price and diverse application services, is the main reason for 3D virtual reality technology in libraries. The application creates favorable conditions. Combined with the specific service content, the application prospect of virtual reality technology in library service innovation is analyzed, and countermeasures and suggestions are put forward for the problems faced by virtual reality technology in library service application.
{"title":"Optimization Research and Simulation Technology Under the Background of Multicast Networking Technology","authors":"Li Zhujian","doi":"10.1109/I-SMAC55078.2022.9987396","DOIUrl":"https://doi.org/10.1109/I-SMAC55078.2022.9987396","url":null,"abstract":"The rapid development and multi-field application of virtual reality technology also provide conditions and foundations for the successful application of virtual reality technology in libraries. Among them, the combination of virtual reality technology and the construction of library information resources can give full play to the advantages of virtual reality technology. 4G network, with the advantages of high-speed data transmission, affordable price and diverse application services, is the main reason for 3D virtual reality technology in libraries. The application creates favorable conditions. Combined with the specific service content, the application prospect of virtual reality technology in library service innovation is analyzed, and countermeasures and suggestions are put forward for the problems faced by virtual reality technology in library service application.","PeriodicalId":306129,"journal":{"name":"2022 Sixth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129688085","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}
Pub Date : 2022-11-10DOI: 10.1109/I-SMAC55078.2022.9987300
A. R. Deepa, C. Sheela, S. Amutha, S. Joyal
Early in 2020, the global spread of Coronavirus Disease 2019 (COVID-19) triggered an existential health crisis. Automated lung infection diagnosis using Computed Tomography (CT) images has the potential to significantly improve the current healthcare approach to combat COVID-19. But segmenting infected regions from CT slices is difficult due to the wide variety in infection traits and the weak contrast between infected and healthy tissues. Additionally, gathering a lot of data quickly is impractical, which hinders the training of a deep model. This study proposes COVID-SegNet, a convolutional-based deep learning technique for automatically segmenting COVID-19 infection areas and the whole lungs from chest CT images. The suggested deep CNN includes a feature variation (FV) block that adaptively modifies the global properties of the features for segmenting COVID-19 infection. This can improve its capacity to express features in various situations efficiently and adaptively. To deal with the complex shape variations of COVID-19 infection zones, additionally recommend the use of PASPP, a progressive atrous spatial pyramid pooling. After a simple convolution module, PASPP generates the final features using multistage parallel fusion branches. In order to cover a variety of receptive fields, PASPP uses atrous filters with an acceptable dilation rate in each atrous convolutional layer. For the segmentation of COVID-19 and the lungs, the dice similarity coefficients are 0.987 as well as 0.726, respectively. Experiments carried out on data gathered in the scan centre demonstrate that effectively produce good performance.
{"title":"Detecting Pneumonia for COVID 19 Patients using Multi-Image Fusion for CT Images","authors":"A. R. Deepa, C. Sheela, S. Amutha, S. Joyal","doi":"10.1109/I-SMAC55078.2022.9987300","DOIUrl":"https://doi.org/10.1109/I-SMAC55078.2022.9987300","url":null,"abstract":"Early in 2020, the global spread of Coronavirus Disease 2019 (COVID-19) triggered an existential health crisis. Automated lung infection diagnosis using Computed Tomography (CT) images has the potential to significantly improve the current healthcare approach to combat COVID-19. But segmenting infected regions from CT slices is difficult due to the wide variety in infection traits and the weak contrast between infected and healthy tissues. Additionally, gathering a lot of data quickly is impractical, which hinders the training of a deep model. This study proposes COVID-SegNet, a convolutional-based deep learning technique for automatically segmenting COVID-19 infection areas and the whole lungs from chest CT images. The suggested deep CNN includes a feature variation (FV) block that adaptively modifies the global properties of the features for segmenting COVID-19 infection. This can improve its capacity to express features in various situations efficiently and adaptively. To deal with the complex shape variations of COVID-19 infection zones, additionally recommend the use of PASPP, a progressive atrous spatial pyramid pooling. After a simple convolution module, PASPP generates the final features using multistage parallel fusion branches. In order to cover a variety of receptive fields, PASPP uses atrous filters with an acceptable dilation rate in each atrous convolutional layer. For the segmentation of COVID-19 and the lungs, the dice similarity coefficients are 0.987 as well as 0.726, respectively. Experiments carried out on data gathered in the scan centre demonstrate that effectively produce good performance.","PeriodicalId":306129,"journal":{"name":"2022 Sixth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC)","volume":"171 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134080052","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}
An infrared nondestructive testing method based on genetic algorithm and time series infrared heat map weighted superposition is proposed. The study took 16 types of hole defects in the aluminum plate as the object, collected the time series infrared heat map of the preheating specimen and the cooling process, and obtained the corresponding time series grayscale map. Ninety-four patients with neuropathy and dysphagia were randomly divided into the study group and the control group, each with 47 cases. For example, the control group was treated with drugs. Acupuncture and exercise rehabilitation. The study group was combined with electrical stimulation therapy on the basis of the treatment plan of the control group. A matrix heat map was added to display the data details; interactive methods such as data selection, Sun Map and multi-view linkage of the matrix heat map were used to realize the visual analysis of the correlation level data.
{"title":"Correlation Model of Computer-Aided Assessment based on Heat Map Image Segmentation Algorithm","authors":"Aiming Shen, H. Yan, Zhuohang Wu, Fei Huang, Wei Zhang, Wenlong Wang, Jiajia Hua","doi":"10.1109/I-SMAC55078.2022.9987255","DOIUrl":"https://doi.org/10.1109/I-SMAC55078.2022.9987255","url":null,"abstract":"An infrared nondestructive testing method based on genetic algorithm and time series infrared heat map weighted superposition is proposed. The study took 16 types of hole defects in the aluminum plate as the object, collected the time series infrared heat map of the preheating specimen and the cooling process, and obtained the corresponding time series grayscale map. Ninety-four patients with neuropathy and dysphagia were randomly divided into the study group and the control group, each with 47 cases. For example, the control group was treated with drugs. Acupuncture and exercise rehabilitation. The study group was combined with electrical stimulation therapy on the basis of the treatment plan of the control group. A matrix heat map was added to display the data details; interactive methods such as data selection, Sun Map and multi-view linkage of the matrix heat map were used to realize the visual analysis of the correlation level data.","PeriodicalId":306129,"journal":{"name":"2022 Sixth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133517304","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}
Pub Date : 2022-11-10DOI: 10.1109/I-SMAC55078.2022.9987280
Yanxiao Jiang
Use human-computer interaction technology to create an environment for oral communication, use APP micro-classes and other forms to provide a micro-learning platform, and integrate technologies such as artificial intelligence into English-speaking teaching, which can enhance oral practice. Embed English spoken in non-English Professional college English classroom teaching activities to stimulate the ability of higher vocational students to learn foreign languages independently is the challenge that higher vocational colleges have to face. This paper studies how to improve the application of listening and speaking skills with the aid of multimedia courseware. The porting of speech recognition technology on the Android platform is realized; finally, the spoken English learning system is an APP application software developed on the Android platform based on the libspeech.so speech recognition library.
{"title":"Artificial Intelligence Technology for Python Test Simulation of Oral English Teaching Evaluation","authors":"Yanxiao Jiang","doi":"10.1109/I-SMAC55078.2022.9987280","DOIUrl":"https://doi.org/10.1109/I-SMAC55078.2022.9987280","url":null,"abstract":"Use human-computer interaction technology to create an environment for oral communication, use APP micro-classes and other forms to provide a micro-learning platform, and integrate technologies such as artificial intelligence into English-speaking teaching, which can enhance oral practice. Embed English spoken in non-English Professional college English classroom teaching activities to stimulate the ability of higher vocational students to learn foreign languages independently is the challenge that higher vocational colleges have to face. This paper studies how to improve the application of listening and speaking skills with the aid of multimedia courseware. The porting of speech recognition technology on the Android platform is realized; finally, the spoken English learning system is an APP application software developed on the Android platform based on the libspeech.so speech recognition library.","PeriodicalId":306129,"journal":{"name":"2022 Sixth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130014854","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}
Pub Date : 2022-11-10DOI: 10.1109/I-SMAC55078.2022.9987358
Yanhua Hu, Xu Banghua
Firstly, through the research of the simulation platform, according to the characteristics of the hybrid structure video grid structure, a hybrid structure video grid node component library is established. With the advent of the era of big data, the ideological and political education in colleges and universities is facing many opportunities and challenges. Based on the application of big data technology, three new concepts of ideological and political education innovation in colleges and universities are proposed: quantitative integration, accurate prediction and individualized concepts and the use of Petri The shared synthesis technique of nets obtains the Petri net model of the whole system. At the same time, the concept of reachable task graph of Petri net corresponding to resource scheduling is given, and some important characteristics of resource scheduling such as throughput, load balance and scheduling time are analyzed by using the reachable task graph.
{"title":"Research on Distributed Internet Terminal Cloud Online Technology","authors":"Yanhua Hu, Xu Banghua","doi":"10.1109/I-SMAC55078.2022.9987358","DOIUrl":"https://doi.org/10.1109/I-SMAC55078.2022.9987358","url":null,"abstract":"Firstly, through the research of the simulation platform, according to the characteristics of the hybrid structure video grid structure, a hybrid structure video grid node component library is established. With the advent of the era of big data, the ideological and political education in colleges and universities is facing many opportunities and challenges. Based on the application of big data technology, three new concepts of ideological and political education innovation in colleges and universities are proposed: quantitative integration, accurate prediction and individualized concepts and the use of Petri The shared synthesis technique of nets obtains the Petri net model of the whole system. At the same time, the concept of reachable task graph of Petri net corresponding to resource scheduling is given, and some important characteristics of resource scheduling such as throughput, load balance and scheduling time are analyzed by using the reachable task graph.","PeriodicalId":306129,"journal":{"name":"2022 Sixth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115151949","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}
Pub Date : 2022-11-10DOI: 10.1109/I-SMAC55078.2022.9987269
Han Wu
Firstly, the multi-agent network is divided into several communities based on the hierarchical clustering algorithm; secondly, a node importance evaluation algorithm is proposed. Chinese sentences are automatically segmented and imported into the database, and finally the construction of a large-scale English-Chinese bilingual parallel corpus is completed. A new combinatorial optimization method, the combinatorial optimization multi-agent evolutionary algorithm, is proposed. This method fixes the agents on the grid, and each agent competes with its neighbors to increase its energy. The bottleneck in the development of machine translation, computer-aided translation and other technologies is expounded, and the ideas for solving the problem are given and an empirical analysis is carried out.
{"title":"Design of Immersive Intelligent Translation Software based on Multi-Agent Algorithm","authors":"Han Wu","doi":"10.1109/I-SMAC55078.2022.9987269","DOIUrl":"https://doi.org/10.1109/I-SMAC55078.2022.9987269","url":null,"abstract":"Firstly, the multi-agent network is divided into several communities based on the hierarchical clustering algorithm; secondly, a node importance evaluation algorithm is proposed. Chinese sentences are automatically segmented and imported into the database, and finally the construction of a large-scale English-Chinese bilingual parallel corpus is completed. A new combinatorial optimization method, the combinatorial optimization multi-agent evolutionary algorithm, is proposed. This method fixes the agents on the grid, and each agent competes with its neighbors to increase its energy. The bottleneck in the development of machine translation, computer-aided translation and other technologies is expounded, and the ideas for solving the problem are given and an empirical analysis is carried out.","PeriodicalId":306129,"journal":{"name":"2022 Sixth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC)","volume":"601 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116320214","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}
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