2023 2nd International Conference on Smart Technologies and Systems for Next Generation Computing (ICSTSN)最新文献_第6页

Multiple Grapes Leaf Disease Identification Using an Optimal Deep Learning Model: Xception 使用最优深度学习模型识别多种葡萄叶病:例外

2023 2nd International Conference on Smart Technologies and Systems for Next Generation Computing (ICSTSN) Pub Date : 2023-04-21 DOI: 10.1109/ICSTSN57873.2023.10151615

V. Tanwar, Shweta Lamba

{"title":"Multiple Grapes Leaf Disease Identification Using an Optimal Deep Learning Model: Xception","authors":"V. Tanwar, Shweta Lamba","doi":"10.1109/ICSTSN57873.2023.10151615","DOIUrl":"https://doi.org/10.1109/ICSTSN57873.2023.10151615","url":null,"abstract":"One of the popular fruit yields in India is the grape. The spread of numerous diseases on grapes’ fruit, stem, and leaves causes a decline in production. Bacteria, fungi, viruses, etc. are the principal culprits behind leaf diseases. Diseases are a significant influence in restricting the yield of fruit, and they are frequently challenging to control. Correct control measures cannot be implemented at the right time for a disease without an accurate illness identification. One of the most popular methods for identifying and categorizing plant leaf infections is image processing. This study uses the Xception classification approach to help identify and categorize grape leaf diseases and datasets taken from an online source like Kaggle. There are a total of 8500 images of grape leaves to use in this research. Furthermore, two alternative methods KNN and SVM were evaluated in terms of their effectiveness in detecting illnesses in grape plants. The suggested Research model has an accuracy of 99% for detecting and classifying the tested grape leaf disease which has higher accuracy as compared to alternative models.","PeriodicalId":325019,"journal":{"name":"2023 2nd International Conference on Smart Technologies and Systems for Next Generation Computing (ICSTSN)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121742635","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}

引用次数: 0

Implementation and Monitoring of Network Traffic Security using Machine Learning 使用机器学习实现和监控网络流量安全

2023 2nd International Conference on Smart Technologies and Systems for Next Generation Computing (ICSTSN) Pub Date : 2023-04-21 DOI: 10.1109/ICSTSN57873.2023.10151471

Neeraj Kumar Pandey, A. Mishra, Neha Tripathi, P. Bagla, Ravi Sharma

{"title":"Implementation and Monitoring of Network Traffic Security using Machine Learning","authors":"Neeraj Kumar Pandey, A. Mishra, Neha Tripathi, P. Bagla, Ravi Sharma","doi":"10.1109/ICSTSN57873.2023.10151471","DOIUrl":"https://doi.org/10.1109/ICSTSN57873.2023.10151471","url":null,"abstract":"With the rapid growth of data technology the vast variety of network systems and platforms, as well as the explosive growth of system data, the cloud infrastructure has become increasingly valuable, creating significant safety issues. Cyber hackers’ objectives should be moved by ordinary individuals to internet infrastructures of various backgrounds, corporations, organizations, and nations. Traditional internet production technologies struggled to meet the specific needs of computer safety in terms of reliability and consciousness to the profitability of internet infrastructure, which has resulted in huge quantities of Internet data. Machine learning-based network safety study provided several achievements, demonstrating various applications in big information handling, recent algorithms, detecting the presence, and widening the creation of concepts in the field of network safety. In this article, humans merge computer training technologies to enhance interference detection capability and warning similarity mechanization, as well as examine advanced components such as computer training internet spatial awareness approaches and interactive data stream categorization methods depending on judgment reviews, to enhance machine learning network monitoring innovators’ detection capability, accommodative, but also generalization capabilities.","PeriodicalId":325019,"journal":{"name":"2023 2nd International Conference on Smart Technologies and Systems for Next Generation Computing (ICSTSN)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125709820","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}

引用次数: 1

Defect Detection with less training samples using Deep Neural Networks 基于深度神经网络的少样本缺陷检测

2023 2nd International Conference on Smart Technologies and Systems for Next Generation Computing (ICSTSN) Pub Date : 2023-04-21 DOI: 10.1109/ICSTSN57873.2023.10151506

G. Pranav, T. Sonam, T. Sree Sharmila

{"title":"Defect Detection with less training samples using Deep Neural Networks","authors":"G. Pranav, T. Sonam, T. Sree Sharmila","doi":"10.1109/ICSTSN57873.2023.10151506","DOIUrl":"https://doi.org/10.1109/ICSTSN57873.2023.10151506","url":null,"abstract":"Metal castings are products that are used everywhere. It is used in vehicles, in buildings, for construction and so on. Castings are basically molded shapes formed out of melted metal like iron. The process of making castings, however, can easily be compromised. This gives rise to defects like cracks, flow marks, porosity, and pinhole formation on the surface. Generally, ultra-sonic inspections or simple visual inspections are done to look for defects. But they are time-consuming, expensive and require more labor. In current times, computer vision is used to make the process simpler. Several neural network algorithms were experimented to do image classification. Many convolutional neural network models were experimented to receive good accuracy. But the difficulty faced during training the model is the less availability of actual data of defect goods to train. Since training samples are usually smaller, only a few algorithms like ResNet50 and EfficientNetB 7 gave better accuracy in classifying casting goods as defective or not. It became more important to see how well these algorithms do when the training sample set size becomes even less compared to the testing sample.","PeriodicalId":325019,"journal":{"name":"2023 2nd International Conference on Smart Technologies and Systems for Next Generation Computing (ICSTSN)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130416839","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}

引用次数: 0

A 6T-SRAM-Based Computing-In-Memory Architecture using 22nm FD-SOI Device 基于22纳米FD-SOI器件的6t - sram内存计算架构

2023 2nd International Conference on Smart Technologies and Systems for Next Generation Computing (ICSTSN) Pub Date : 2023-04-21 DOI: 10.1109/ICSTSN57873.2023.10151524

S. Liu, J. J. Wang, Y. Liu, L. Cao, Y. Liu

{"title":"A 6T-SRAM-Based Computing-In-Memory Architecture using 22nm FD-SOI Device","authors":"S. Liu, J. J. Wang, Y. Liu, L. Cao, Y. Liu","doi":"10.1109/ICSTSN57873.2023.10151524","DOIUrl":"https://doi.org/10.1109/ICSTSN57873.2023.10151524","url":null,"abstract":"A computing in-memory architecture based on 22nm Fully Depleted Silicon On Insulator (FD-SOI) device is presented. By using FD-SOI devices, logic operations such as “and” “nor” or “ x “ Access Memory (SRAM) through the effect of body biasing in the $22mathrm{~nm}$ FD-SOI technology. The proposed architecture contains six modules: the SRAM-based Computing InMemory module, the Data Buffer module, the Pulse Generation module, the pre-charge module, AdditionActivation-Binarization module and the System Controller module. Complex ADC and DAC circuits are not involved in this design. Thereby, by using the FD-SOI devices, the convolution or dot product operations can be realized, which are always used in artificial intelligence (AI) algorithms in a very efficient way. A Binary Multi-Layer Perception (BMLP) is mapped to examine the design. Simulations shows that our design achieves 94% accuracy in the MNIST digit recognition task. And the energy efficiency is 73.03 TOPS/W, which is far beyond traditional AI accelerators and provides an efficient path for massive computing in-memory operation.","PeriodicalId":325019,"journal":{"name":"2023 2nd International Conference on Smart Technologies and Systems for Next Generation Computing (ICSTSN)","volume":"62 43","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114088430","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}

引用次数: 0

Novel Machine Learning based Text-To-Speech Device for Visually Impaired People 基于机器学习的视障人士文本转语音设备

2023 2nd International Conference on Smart Technologies and Systems for Next Generation Computing (ICSTSN) Pub Date : 2023-04-21 DOI: 10.1109/ICSTSN57873.2023.10151637

U. Gawande, Nutan Rathod, Pooja Bodkhe, Pradnya Kolhe, Hema Amlani, Chetana B. Thaokar

{"title":"Novel Machine Learning based Text-To-Speech Device for Visually Impaired People","authors":"U. Gawande, Nutan Rathod, Pooja Bodkhe, Pradnya Kolhe, Hema Amlani, Chetana B. Thaokar","doi":"10.1109/ICSTSN57873.2023.10151637","DOIUrl":"https://doi.org/10.1109/ICSTSN57873.2023.10151637","url":null,"abstract":"The images of documents contain the text and non-textual characters which are usually converted into voice or audio format using TTS (Text to Speech) systems. The blind individuals are supposed to benefit from this TTS innovation. According to the World Health Organization, India has 1.99% blind individuals. Hence, aiding the blind is necessary. In the proposed research, a machine learning based text-to-speech converter is proposed. First, a Raspberry Pi is embedded with proposed text to speech converter algorithm. Second, a camera is used to capture the images as input, which the TTS unit will receive. Third, a Raspberry Pi is equipped with a TTS unit, that proposed a captured image and the output of the TTS device is amplified using an audio amplifier. Fourth, the proposed signal is sent to the speaker. A reader enables the user to hear the text they have entered. It entails text extraction from the image and text-to-speech conversion. With a camera module and a Raspberry Pi, the OCR (optical character recognition) method is used to convert text to speech. The setup consists of a Raspberry Pi webcam interface. The audio output on the Raspberry Pi can be heard through speakers or headphones. A few seconds pass during the conversion. This device can make it easier for people who are visually challenged to read text from images. Experimental results show the significant improvement compare to the state-of-the-art text to speech conversion algorithm. Paper ended with future research direction.","PeriodicalId":325019,"journal":{"name":"2023 2nd International Conference on Smart Technologies and Systems for Next Generation Computing (ICSTSN)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128843707","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}

引用次数: 0

Electric Vehicle Charging Station Aggregator Application 电动汽车充电站聚合器应用

2023 2nd International Conference on Smart Technologies and Systems for Next Generation Computing (ICSTSN) Pub Date : 2023-04-21 DOI: 10.1109/ICSTSN57873.2023.10151642

A. Parkavi, Aryan Vaidya, C. S. Prakash, Deepthi Peter

{"title":"Electric Vehicle Charging Station Aggregator Application","authors":"A. Parkavi, Aryan Vaidya, C. S. Prakash, Deepthi Peter","doi":"10.1109/ICSTSN57873.2023.10151642","DOIUrl":"https://doi.org/10.1109/ICSTSN57873.2023.10151642","url":null,"abstract":"India is developing its Electric Vehicle (EV) infrastructure at a record breaking rate, with an estimate of 40% of its vehicles to be electric by 2030. The current gas crisis and emission problems are thought to be effectively solved by EVs. The shift to a cleaner source of energy has been welcomed by many, with governments even offering subsidiaries as a form of encouragement to the general public. This sudden increase has opened up prospects to develop an application which serves the purpose of a charging station aggregator. One of the primary drawbacks of the current charging station architecture is that it is provider-dependent, and therefore EV drivers are not presented with all the possible charging station options. While Google allows users to search for nearest stations, details such as charger type and availability of the station are often incomplete. ‘‘Find Green’’, is a web application which serves as a single spot for EV users to go to for verified listings, which provides them with all the necessary details as well the ability to reserve slots in advance. This in turn helps reduce the range anxiety of countless drivers.","PeriodicalId":325019,"journal":{"name":"2023 2nd International Conference on Smart Technologies and Systems for Next Generation Computing (ICSTSN)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126393696","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}

引用次数: 0

Design and Implementation of a Flexible Wearable Antenna for the Detection of Cancer in the Thyroid Gland 一种用于甲状腺癌检测的柔性可穿戴天线的设计与实现

2023 2nd International Conference on Smart Technologies and Systems for Next Generation Computing (ICSTSN) Pub Date : 2023-04-21 DOI: 10.1109/ICSTSN57873.2023.10151619

A. Mohamed Abbas, P. L. Dinesh Kumar, D. Raghulraj, K. Suraj

{"title":"Design and Implementation of a Flexible Wearable Antenna for the Detection of Cancer in the Thyroid Gland","authors":"A. Mohamed Abbas, P. L. Dinesh Kumar, D. Raghulraj, K. Suraj","doi":"10.1109/ICSTSN57873.2023.10151619","DOIUrl":"https://doi.org/10.1109/ICSTSN57873.2023.10151619","url":null,"abstract":"The paper outlines a suggested technique for identifying thyroid cancer using an H-shaped microstrip patch antenna. Thyroid cancer originates in the nodules of the thyroid gland, which is situated in the neck and comprises two lobes connected by a slender band of tissues. The proposed microstrip patch antenna is crafted from copper and RT Duroid substrate, and it has a distinctive design that enables it to locate cancerous cells in the thyroid gland. When positioned in close proximity to the thyroid gland, the H-shaped patch antenna’s performance characteristics, including its VSWR, gain, and return loss, undergo changes, and these alterations are assessed in both cancerous and healthy tissues. Because cancerous cells have a higher water content than healthy cells, the antenna can gauge the SAR (specific absorption rate) of cancerous cells. Furthermore, the microstrip patch antenna’s performance can differentiate between normal and cancerous cell types. Finally, an H-shaped patch antenna is simulated utilizing the High-Frequency Structure Simulator (HFSS), enabling scientists to evaluate the proposed antenna design’s potential efficacy for detecting thyroid cancer.","PeriodicalId":325019,"journal":{"name":"2023 2nd International Conference on Smart Technologies and Systems for Next Generation Computing (ICSTSN)","volume":"102 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116980664","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}

引用次数: 0

Smart LPG Level Monitoring and Automatic Booking system Integrated with trolley 智能液化气液位监测和自动预约系统，与手推车集成

2023 2nd International Conference on Smart Technologies and Systems for Next Generation Computing (ICSTSN) Pub Date : 2023-04-21 DOI: 10.1109/ICSTSN57873.2023.10151516

Hrushikesh Vijay Parjane, Vaibhav Sanjay Andhale, Rahul Karna Vakte, Prasad Mohan Bodakhe, M. Sujith, D. Pardeshi

引用次数: 0

SGWeS: A Framework to Safeguard Web Servers from PDF Malware Attacks 保护Web服务器免受PDF恶意软件攻击的框架

2023 2nd International Conference on Smart Technologies and Systems for Next Generation Computing (ICSTSN) Pub Date : 2023-04-21 DOI: 10.1109/ICSTSN57873.2023.10151549

Atul Kumar, Ishu Sharma

{"title":"SGWeS: A Framework to Safeguard Web Servers from PDF Malware Attacks","authors":"Atul Kumar, Ishu Sharma","doi":"10.1109/ICSTSN57873.2023.10151549","DOIUrl":"https://doi.org/10.1109/ICSTSN57873.2023.10151549","url":null,"abstract":"Web Servers are a critical asset in the Information Technology sector that are exposed to the Internet on a generic basis. The major players in the industry dealing in sectors like healthcare, education institutes, telecom, ecommerce, etc. create massive business through their Web presence. The intrusion through the organization’s web server can harm the industry’s day-to-day activities. Many organizations are required to have PDF files uploaded from the user of the website, that are being sent to Web Servers. Cyber Attackers or hackers widely target web servers using PDF malware attacks. A PDF file can contain malicious code, links, or attachments that, when accessed or downloaded on the web server, can infect the server or network. The existing methodologies work on the principle of checking malicious files on the web server. In this research paper, a framework is proposed to check the authenticity of PDF malware attacks at the client machine only using machine learning-trained models. The machine learning-trained embedded script is trained using the Evasive-PDFMal2022 dataset. This dataset contains the all-relevant features of benign and malicious PDF files that can be utilized to train Artificial intelligence-based techniques. The proposed methodology is validated using machine learning models like the decision tree classifier and the performance of the machine learning trained model is enhanced with XGBoost methodology. XGBoost outperforms and results in improved metrics used for evaluation.","PeriodicalId":325019,"journal":{"name":"2023 2nd International Conference on Smart Technologies and Systems for Next Generation Computing (ICSTSN)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117026625","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}

引用次数: 0

A Novel Integration of Wireless Power Transfer Topology for Electric Vehicle Application using Tesla Coil 基于特斯拉线圈的新型电动汽车无线传输拓扑集成

2023 2nd International Conference on Smart Technologies and Systems for Next Generation Computing (ICSTSN) Pub Date : 2023-04-21 DOI: 10.1109/ICSTSN57873.2023.10151491

S. Jaisiva, S. Ashika, M. Snega, R. Baranidevi

{"title":"A Novel Integration of Wireless Power Transfer Topology for Electric Vehicle Application using Tesla Coil","authors":"S. Jaisiva, S. Ashika, M. Snega, R. Baranidevi","doi":"10.1109/ICSTSN57873.2023.10151491","DOIUrl":"https://doi.org/10.1109/ICSTSN57873.2023.10151491","url":null,"abstract":"The primary issues with wireless power transmission for electric vehicles using solar power are charging times and power transfer efficiency. In this study, the transformer induction theory and adaptive robotics are used to address both problems. A receiving coil-carrying more efficiency method for wireless power transfer during charging E-Vehicles. The suggested design’s viability is evaluated using a prototype, which can achieve unity power factor moreover an air gap of 8 centimeter and a most of the sliding distance of 10 centimeter down a variety of power settings while producing an output voltage of around 15 Volts Electric voltage is produced by solar power. Dynamic Wireless Power Transfer, which eventually eliminates the need for static Wireless Power Transfer and connect charging, allows for an electric vehicle’s overall runtime to be endless. An EV (electric vehicle) may be charged while being driven, saving time and effort when recharging it. By using this technique everywhere, electric vehicle batteries will eventually be able to be removed as well. The electric vehicles have the coils it transmits and receives f or wireless charging, two different kinds of coils are needed and reception coil will absorb energy from the transmitter coil as it passes through it thanks to mutual induction. However, wireless power transmission is impacted by the difference in distance between two nearby coils (WPT). Ansys Maxwell simulation software is used to construct and simulate vertically and horizontally and that will be has no proper alignment for the system of two copper coils of architecture median in order to examine the variance in WPT.","PeriodicalId":325019,"journal":{"name":"2023 2nd International Conference on Smart Technologies and Systems for Next Generation Computing (ICSTSN)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126908492","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}

引用次数: 0