{"title":"Novel Framework for Children’s Bilingual Pronunciation Correction based on Abnormal Speech Recognition Algorithm","authors":"Yang Songting","doi":"10.1109/ICOSEC54921.2022.9952011","DOIUrl":"https://doi.org/10.1109/ICOSEC54921.2022.9952011","url":null,"abstract":"Novel framework for the children’s bilingual pronunciation correction based on abnormal speech recognition algorithm is designed and implemented in this study. The key innovation aspect of the designed study is the abnormal speech recognition algorithm. The designed speech recognition sub-flow chart is used to recognize human speech signals, create a speech library and store the speech library in the single-chip microcomputer. get a recognizable voice signal. According to Shannon sampling theorem, the periodic movement of the spectrum in the frequency domain with the sampling rate as the interval will cause the high-frequency part to overlap, hence, the novel processing unit is used to achieve the goal of correcting children’s bilingual pronunciation. Through the systematic testing, the performance is validated.","PeriodicalId":221953,"journal":{"name":"2022 3rd International Conference on Smart Electronics and Communication (ICOSEC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131198505","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":"Real-Time Algorithm for Dimensionality Reduction and Deconvolution Recognition of English Complex Signal Features based on Openstack Architecture","authors":"Zonghui He","doi":"10.1109/ICOSEC54921.2022.9952004","DOIUrl":"https://doi.org/10.1109/ICOSEC54921.2022.9952004","url":null,"abstract":"On the basis of the OpenStack computing architecture, the problem of low computational efficiency of feature extraction for English complex signals in a single computing node is deployed and solved. Principal component analysis (PCA) dimension reduction processing and random projection based on the recognition contribution rate of the two features (RP) The processing results are weighted and fused, and then the results are provided to the convolutional neural network for processing to extract the high-level features of image classification. A convolutional code recognition algorithm. The experimental results show that the dimensionality reduction effect of the parity check matrix recognition algorithm is the best.","PeriodicalId":221953,"journal":{"name":"2022 3rd International Conference on Smart Electronics and Communication (ICOSEC)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132348973","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 Optimization of Convolutional Neural Networks based on Variational Inequalities: From the Perspective of Topological Structure","authors":"Yufeng Pan","doi":"10.1109/ICOSEC54921.2022.9951996","DOIUrl":"https://doi.org/10.1109/ICOSEC54921.2022.9951996","url":null,"abstract":"Based on the sufficient and necessary conditions of the solution, a neural network model for generalized variational inequality problems is proposed. Through the construction function, the new model is proved to be stable under appropriate conditions, and the global convergence and exponential convergence are consistent with the original problem. Numerical experiments show that the solution. The neural network model is effective and feasible. Starting from the nature of the variational inequality, a recurrent neural network is constructed to solve this type of optimization problem, and from the KKT condition of the optimization problem, a recurrent neural network is constructed to solve this type of optimization problem.","PeriodicalId":221953,"journal":{"name":"2022 3rd International Conference on Smart Electronics and Communication (ICOSEC)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128460034","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":"Application of Virtual Learning Model based on UML Software Design in Art Design Network Platform Design","authors":"Agudamu","doi":"10.1109/ICOSEC54921.2022.9951873","DOIUrl":"https://doi.org/10.1109/ICOSEC54921.2022.9951873","url":null,"abstract":"According to the interface design requirements of the network virtual experiment platform, this paper uses the unified modeling language to analyze and model the virtual experiment interface, which is convenient for the redevelopment of the system, and uses the UML modeling technology commonly used in modern software development to discuss the art design network teaching platform The system requirements analysis and model construction methods and steps for the next step lay a good foundation for the realization of the system. Then use the product structure design experiment teaching as a case to verify its feasibility. Through the teaching design of virtual reality technology in product design, explore and improve the application theory of smart teaching in product design.","PeriodicalId":221953,"journal":{"name":"2022 3rd International Conference on Smart Electronics and Communication (ICOSEC)","volume":"297 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128608616","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":"Edge Computing for Smart Stove in Home Automation","authors":"A. Priyanka, S. Kusuma","doi":"10.1109/ICOSEC54921.2022.9952084","DOIUrl":"https://doi.org/10.1109/ICOSEC54921.2022.9952084","url":null,"abstract":"The Internet of Things (IoT) is a network of connected things including sensors, processing capabilities, software, and other technologies. The internet or other communication networks are used to communicate and share data among different devices and systems. S mart embedded systems have emerged as the most popular area of study. In particular, IoT-based systems plays a crucial role in establishing a device connectivity. The proposed project employs Machine Learning (ML) algorithms such as Haar Cascade and MobileNet V2 along with the Convolution Neural Networks (CNN) to build a smart stove with a face and age identification function. The device user’s age will be determined from a live video footage. The main concept of the proposed research work is to restrict the users based on their age factor; provide safety measures whenever a liquid petroleum gas leakage is detected. Preventive measures initiated from the proposed module include shutting OFF lights or other electric items that have been switched ON, activating the exhaust fan, and sending an emergency message to the owner of the gas if it is identified. The proposed smart stove module is IoT-based and offers safety measures without requiring any human intervention.","PeriodicalId":221953,"journal":{"name":"2022 3rd International Conference on Smart Electronics and Communication (ICOSEC)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131926673","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":"Archimedes Spiral Antenna for the Microwave Hyperthermia Application","authors":"Komalpreet Kaur, A. Kaur","doi":"10.1109/ICOSEC54921.2022.9952156","DOIUrl":"https://doi.org/10.1109/ICOSEC54921.2022.9952156","url":null,"abstract":"The aim of this manuscript is to design and analyse a compact sized focussed archimedean spiral micro strip antenna (ASMPA) with suitable SAR values for hyperthermia (HT) applications. The proposed ASMPA is design to resonate at 2.5 GHz frequency range and covers the bandwidth from 2.37 to 2.63 GHz with peak gain of 3.1 dB and VSWR < 2. The proposed antenna consists of single layer of FR-4 with optimized dimension of 38×38×1.64 mm3 with defected ground surface (DGS). The single spiral shaped patch is imprinted on the front side of the substrate of FR-4. The proposed antenna is design and simulated in CST Microwave version 19. Three-layered (skin, muscle and fat) human mimic is designed for SAR and temperature analysis of the phantom when exposed by ASMPA. The SAR and temperature rise over the cancerous affect area of bio mimic is 8 W/Kg and 42 °C respectively. Thus specific SAR and temperature > 41 °C make the proposed ASMPA a suitable choice for the treatment of superficial skin cancer using HT application.","PeriodicalId":221953,"journal":{"name":"2022 3rd International Conference on Smart Electronics and Communication (ICOSEC)","volume":"590 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134371154","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":"Digital Application of Information Intelligence Technology in Contemporary Music Creation Models","authors":"Wenqing Zhou","doi":"10.1109/ICOSEC54921.2022.9952043","DOIUrl":"https://doi.org/10.1109/ICOSEC54921.2022.9952043","url":null,"abstract":"This paper studies the digital application of information intelligence technology in contemporary radio, film and television music creation. Big data and digital audio technology have been widely used in radio and television engineering to effectively improve the sound quality of program production and achieve interest-based picture and sound. Recommend to promote the quality of program production, establish a tag-based audio resource information database, expand the storage capacity of audio resources, achieve audio resource sharing, and improve the efficiency of audio resource search. In actual operation, the technical advantages are mainly brought into play through audio embedding technology and the expansion of digital mixer functions. The specific operation needs to be determined according to the actual situation, and standardized operation standards and systems shall be formulated to improve the operation effect by as much as 7.9%.","PeriodicalId":221953,"journal":{"name":"2022 3rd International Conference on Smart Electronics and Communication (ICOSEC)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123883540","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":"A study of cloud-based VPN establishment using network function virtualization technique","authors":"Sankili Santhanamahalingam, Saravanan Alagarsamy, Karthik Subramanian","doi":"10.1109/ICOSEC54921.2022.9951894","DOIUrl":"https://doi.org/10.1109/ICOSEC54921.2022.9951894","url":null,"abstract":"Network Function Virtualization is the process of moving networking functions like Firewall, Load Balancing, Virtual Private networks (VPN), Gateway Antivirus, etc. away from proprietary hardware to the virtual server. This paper suggests enabling VPN security features to business customers by moving VPN features away from dedicated hardware and applying the feature by instantiating the corresponding VNF template from the virtual server. This paper aspires to develop a suitable architecture model with Software-Defined Network and Network Function Virtualization as its core techniques that can render a cloud design for VPN.The proposed model consists of three parts that include forwarding plane, signaling & control plane, and data plane. The forwarding plane contains a tunnel that can be accomplished with technologies such as VPN, VXLAN, etc., and policy information. The signaling & control plane contains entire topology information, Bgp-evpn protocols, SDN controller functions, and NFV Orchestrator functions. The Data plane contains an open flow protocol and underlay network components such as distributed switch or router to handle L2-L4 rules. The model is evaluated using a simulation on a testbed with order processing and order orchestration of the cloud VPN feature.","PeriodicalId":221953,"journal":{"name":"2022 3rd International Conference on Smart Electronics and Communication (ICOSEC)","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124101963","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}
P. Nandhini, S. Hariprabha, S. Abirami, R. Jaseenash, R Kaviyaraj.
{"title":"Design and Development of an Augmented Reality E-Commerce 3D models","authors":"P. Nandhini, S. Hariprabha, S. Abirami, R. Jaseenash, R Kaviyaraj.","doi":"10.1109/ICOSEC54921.2022.9952109","DOIUrl":"https://doi.org/10.1109/ICOSEC54921.2022.9952109","url":null,"abstract":"The world is becoming more modernized with augmented reality, and this paper proposes an idea for a new way to improve the user experience of all e-commerce platforms. This strategy makes use of Transient Chaotic Neural Networks (TCNN) to develop a new marker-less visual tracking system that makes use of pictorial information. It is made up of point correspondences between image sequences. The purpose of this is to provide the easy visualization of the dimensional importance of an object in the perspective of the user’s own near environment to facilitate the making of accurate purchase decisions. This is accomplished by using Vuforia to create a 3D representation of the target object, Unity3D and C# to serve as the application’s framework, and Wikitude for tracking the surrounding environment. The outcomes of the experiments provide evidence of both the effectiveness and efficiency of the proposed model.","PeriodicalId":221953,"journal":{"name":"2022 3rd International Conference on Smart Electronics and Communication (ICOSEC)","volume":"27 20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124585269","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}
R. Chitra, A. Anusha Bamini, D. Brindha, Allam Prathyusha Reddy, Naru Kezia, Gyara Beulah
{"title":"Hand Gesture Recognition using Shape-based Image Features for Music Controller","authors":"R. Chitra, A. Anusha Bamini, D. Brindha, Allam Prathyusha Reddy, Naru Kezia, Gyara Beulah","doi":"10.1109/ICOSEC54921.2022.9952146","DOIUrl":"https://doi.org/10.1109/ICOSEC54921.2022.9952146","url":null,"abstract":"The main objective of this article is to develop a system for recognizing the user’s hand gesture by detecting some significant shape-based features. The features are orientation, finger status, thumb in either in folded or raised form as well posture of hand fingers of hand, and their relevant position in the given input image. There is a similarity between the shape of the hands and the fingers of the human. The goal of work is to make a real-time system for passing the information to other devices or controlling the device by recognizing the gesture motion. The suggested method is particularly intended for use in a multitasking environment. While working on multiple programs on desktop at the same time like hearing music and playing in different windows. To skip from one song to another song or stop a song some appropriate action must be taken. This is a long and time-consuming procedure. Users will save time and remain connected to the job that can be executed this activity without using the music system and with only one hand movement. The Music Controller switches or pause the current music track by making a simple hand movement in front of the webcam.","PeriodicalId":221953,"journal":{"name":"2022 3rd International Conference on Smart Electronics and Communication (ICOSEC)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127651303","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}