2023 International Conference on Intelligent and Innovative Technologies in Computing, Electrical and Electronics (IITCEE)最新文献

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Identifying Cyber Extremism Sentiments using ROBERTA 利用ROBERTA识别网络极端主义情绪
Sudhanshu Patel, K. Raja, J. Duela, Thomas M. Chen, Mithileysh Sathiyanarayanan
{"title":"Identifying Cyber Extremism Sentiments using ROBERTA","authors":"Sudhanshu Patel, K. Raja, J. Duela, Thomas M. Chen, Mithileysh Sathiyanarayanan","doi":"10.1109/IITCEE57236.2023.10090910","DOIUrl":"https://doi.org/10.1109/IITCEE57236.2023.10090910","url":null,"abstract":"It is critical to identify and mitigate cyber extremist sentiments in order to prevent terrorist acts and maintain national security. The use of online platforms to promote extremist ideologies and incite violence is referred to as cyber extremism. To detect and classify extremist content on the internet, machine learning models have been used, making the process more efficient and scalable. To identify cyber extremism sentiments using machine learning models, the model is typically trained on a large dataset of extremist and non-extremist materials. The model then learns to recognize patterns and features associated with extremism, such as the use of specific words and phrases, as well as image and video-based features like facial expressions and gestures. We use ROBERTA for this purpose in this study and compare its results to those of BERT and ALBERT. The use of machine learning to detect cyber extremism sentiments can improve law enforcement and other organizations' ability to detect and respond to potential threats, ultimately helping to keep communities safe.","PeriodicalId":124653,"journal":{"name":"2023 International Conference on Intelligent and Innovative Technologies in Computing, Electrical and Electronics (IITCEE)","volume":"114 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126972129","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
Power Quality Enhancement Using Active Shunt Harmonic Filter Based on PV 基于PV有源并联谐波滤波器的电能质量增强
Simran Gupta, Amandeep Gill, Manjeet Singh
{"title":"Power Quality Enhancement Using Active Shunt Harmonic Filter Based on PV","authors":"Simran Gupta, Amandeep Gill, Manjeet Singh","doi":"10.1109/IITCEE57236.2023.10090903","DOIUrl":"https://doi.org/10.1109/IITCEE57236.2023.10090903","url":null,"abstract":"As conventional energy resources are depleting; the world is moving towards renewable energy sources to fulfill the power requirement. The most commonly used renewable energy source is solar and PV systems, which have attained great importance as a source linked to transmission networks. PV systems, when integrated with grids, create power quality problems due to using nonlinear electronic devices. To improve power quality, filters are necessary to clear out the harmonics and distortion and to improve the power factor improvement. SAPF (Shunt Active Power Filter) is needed to cancel out the system's undesired signals to balance the imbalance currents and reactive power compensation. SAHF (Shunt Active Harmonic Filter) is required for compensation of harmonics by producing equal but 180° in phase current. In this paper, PV based SAHF is analyzed with the help of MATLAB/ SIMULINK to reduce the current harmonics and provide load compensation. To extract maximal power, P&O (Perturbation & Observation) based technique is needed. The SAHF is created with VSI, and a controller offers a triggering signal for VSI (Voltage Source Inverter). This paper contains the system analysis with and without SAHF, and THD (Total Harmonic Distortion) is measured using the FFT (Fast Fourier Technique) technique.","PeriodicalId":124653,"journal":{"name":"2023 International Conference on Intelligent and Innovative Technologies in Computing, Electrical and Electronics (IITCEE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130697600","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: 10
Analysis of DDoS Attacks in Software Defined Networking using Machine Learning 利用机器学习分析软件定义网络中的DDoS攻击
Anshika Sharma, H. Chauhan, Harleen Kaur, Himanshi Babbar
{"title":"Analysis of DDoS Attacks in Software Defined Networking using Machine Learning","authors":"Anshika Sharma, H. Chauhan, Harleen Kaur, Himanshi Babbar","doi":"10.1109/IITCEE57236.2023.10090959","DOIUrl":"https://doi.org/10.1109/IITCEE57236.2023.10090959","url":null,"abstract":"The most practical configurable network is Software Defined Networking (SDN). SDN delineates the network's control layer from the data layer, while operationally integrating them. With global visibility into network status, the's logical centralized control improves network management. However, centralized management introduces new security risks. One of the most attractive victims of distributed denial of service (DDoS) attacks is the SDN control platform. Due to machine learning (ML) performance and unavoidable advantages against fingerprint vulnerabilities, this article proposes and considers a ML solution for protecting against DDoS attacks in SDN. ML techniques are evaluated in both, a theoretical format and a practical setup such that SDN controllers are disclosed to DDoS-attacks in order to reach significant deductions about ML-based cybersecurity of future networking protocols.","PeriodicalId":124653,"journal":{"name":"2023 International Conference on Intelligent and Innovative Technologies in Computing, Electrical and Electronics (IITCEE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125143210","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
FPGA Implementation Of Reconfigurable Address Generator For Various Standard Interleaver 用于各种标准交织器的可重构地址发生器的FPGA实现
Vivek Karthick Perumal, Kaarunya Mahalingam, Dharshini Priya Raja
{"title":"FPGA Implementation Of Reconfigurable Address Generator For Various Standard Interleaver","authors":"Vivek Karthick Perumal, Kaarunya Mahalingam, Dharshini Priya Raja","doi":"10.1109/IITCEE57236.2023.10090916","DOIUrl":"https://doi.org/10.1109/IITCEE57236.2023.10090916","url":null,"abstract":"This paper describes a reconfigurable design for a multi-standard address generator and interleaver using a simpler technique. The importance of this effort is focused on the reuse of hardware. It also focuses on minimising hardware requirements in order to support numerous standards. The suggested multimode interleaver reduces hardware complexity by 60.28%. It supports 3GPP, LTE, WiMAX (802.16e), and WLAN (802.11a/b/g/n), protocols that operate at various modulation schemes and coding rates. The design is being operated with45 nm CMOS conventional cell technology and in synthesis of ASIC As a result, the data rate reconstructable address generator created. In comparison to the current condition of the address generators, latency will be reduced by 52.23%.","PeriodicalId":124653,"journal":{"name":"2023 International Conference on Intelligent and Innovative Technologies in Computing, Electrical and Electronics (IITCEE)","volume":"94 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133750630","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
Relay Awake Feature-based Efficient Route Formation in Mobile Wireless Sensor Network 基于中继唤醒特征的移动无线传感器网络高效路由形成
G. Kavitha, P. Ramanathan., R. Thamizhamuthu, M. Joel, J. Lenin
{"title":"Relay Awake Feature-based Efficient Route Formation in Mobile Wireless Sensor Network","authors":"G. Kavitha, P. Ramanathan., R. Thamizhamuthu, M. Joel, J. Lenin","doi":"10.1109/IITCEE57236.2023.10091091","DOIUrl":"https://doi.org/10.1109/IITCEE57236.2023.10091091","url":null,"abstract":"Mobile Wireless Sensor Networks (MWSNs) comprise mobile sensor nodes that energetically exchange information between themselves. MWSN is self-configuring because of its dynamic nature, and each node functions with inadequate energy. Thus, energy depletion and link weight are significant challenges since links are unreliable. Uneven link strength initiates through the mobility in MWSN reasons network function. To solve this concern, this introduces Relay Awake Feature-based Efficient Route Formation (RAFE) in MWSN. RAFE approach uses a communication key function that isolates the malicious nodes in the MWSN. This measures the link weight through the sensor node packet obtained rate, loss rate, and delay factors. RAFE chooses the relay sensor node by the highest remaining energy and the greatest link weight. This approach reduces unwanted energy utilization and improves the network lifetime. Simulation results demonstrate that this approach improves the network energy efficiency and minimizes the network delay. In addition, it improves the network throughput in the network.","PeriodicalId":124653,"journal":{"name":"2023 International Conference on Intelligent and Innovative Technologies in Computing, Electrical and Electronics (IITCEE)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131176647","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
Intelligent Power Control Models for the IOT Wearable Devices in BAN Networks BAN网络中物联网可穿戴设备的智能功率控制模型
A. P, M. Meenakumari, Saravanan. L, Revathi N, S. Jayaprakash, Subbiah Murugan
{"title":"Intelligent Power Control Models for the IOT Wearable Devices in BAN Networks","authors":"A. P, M. Meenakumari, Saravanan. L, Revathi N, S. Jayaprakash, Subbiah Murugan","doi":"10.1109/IITCEE57236.2023.10090918","DOIUrl":"https://doi.org/10.1109/IITCEE57236.2023.10090918","url":null,"abstract":"The Internet of Things (IoT) is another useful perspective that brings questions from different disciplines together over the Internet. As more wearable technologies become available on the market, teleworking in Wearable Wireless Body Area Networks (WBAN) is becoming more widespread for Internet of Things-related medical applications. This article proposes a solar-powered wearable touch sensor based on a complete social network (SPWT) and Wi-Fi transmission that connects to a WBAN. Different focal points of the sensor network can be assigned to different points in the frame to determine a person's core temperature and heart rate and understand falls. Software for mobile phones and smartphones that displays sensor data and alerts of falls has also been developed. This software includes a web interface. To increase the service life of the central part of the wearable sensor, the pressure in the middle part mainly uses a full-strength flexible solar-oriented sensor with the result based on superior technology like Maximum power point tracking (MPPT). Preliminary results show that the average element of the wearable sensor performs well, although limited by a fully controlled daylight-based power source. The button-less 24-hour movement is incubated with an initial effect. The proposed local energy storage-based photovoltaic device suggests that WBAN-based long-term continuous medical surveillance is possible because the situation is away from home for a short time per day.","PeriodicalId":124653,"journal":{"name":"2023 International Conference on Intelligent and Innovative Technologies in Computing, Electrical and Electronics (IITCEE)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132730954","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: 18
Implementation and Analysis of Various Kalman Filtering Techniques for Target Tracking 各种卡尔曼滤波技术在目标跟踪中的实现与分析
R. Rao, Risha Ram, B. R. Reddy
{"title":"Implementation and Analysis of Various Kalman Filtering Techniques for Target Tracking","authors":"R. Rao, Risha Ram, B. R. Reddy","doi":"10.1109/IITCEE57236.2023.10090994","DOIUrl":"https://doi.org/10.1109/IITCEE57236.2023.10090994","url":null,"abstract":"RADAR plays a crucial role in target tracking. A faulty tracking is vulnerable to fatal errors. Since RADAR signals contain noise in them, filters are used to remove the noise. This paper implements Extended Kalman Filter (EKF), Unscented Kalman Filter (UKF) and Cubature Kalman Filter (CKF) for radar target tracking. Each filter is exposed to the same environment and the results are observed. A radar target tracking model is proposed with an input chirp signal of 77 GHz. The turn rate is varied between 0.2 and 150. The simulations are carried out in MATLAB. Since every simulation generates random motions of the target, the filter can be gauged only on the basis of how well the estimated trajectory follows the true trajectory. The findings have shown that EKF works best for large turn rate and high noise, in comparison to UKF and CKF, thus making it an appropriate choice for such applications.","PeriodicalId":124653,"journal":{"name":"2023 International Conference on Intelligent and Innovative Technologies in Computing, Electrical and Electronics (IITCEE)","volume":"457 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131825364","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
Energy Proficient and Dependable Cluster Routing in Wireless Sensor Network 无线传感器网络中能量高效可靠的集群路由
S. Hemavathi, Jeya Ganesan J, G. Geetha, K. K., R. Kohila
{"title":"Energy Proficient and Dependable Cluster Routing in Wireless Sensor Network","authors":"S. Hemavathi, Jeya Ganesan J, G. Geetha, K. K., R. Kohila","doi":"10.1109/IITCEE57236.2023.10091001","DOIUrl":"https://doi.org/10.1109/IITCEE57236.2023.10091001","url":null,"abstract":"Huge energy utilization information of structures is created with the improving information technology. The energy utilization information is processed by an energy depletion observing system through the wireless sensor network (WSN). Conventional security approaches can face external attacks. Nevertheless, they cannot proficiently solve interior attacks triggered by the captured nodes. Energy-efficient and Dependable Cluster Routing (EPDC) in WSN. This approach aims to reduce energy expenditure and enhance reliable routing in WSNs. The highest energy and highest available bandwidth are selected as a cluster head (CH). In every cluster, the selected CH has received the observed information from the cluster member and then forwarded it to the BS through a relay node. The forwarder relay node is selected based on the average energy faith and transmission faith during data transmission. The whole faith is greater than the average value that node is selected as a data forwarder from cluster to BS in the WSN. Furthermore, the Path Optimization Algorithm (POA) is used to detect the obstacle and build the obstacle-aware route efficiently. The simulation results explain why the proposed method has better residual energy. In addition, it minimized both the network delay and the packet loss rate in the WSN.","PeriodicalId":124653,"journal":{"name":"2023 International Conference on Intelligent and Innovative Technologies in Computing, Electrical and Electronics (IITCEE)","volume":"108 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131935402","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 Of Grover's and Shor's Algorithms In Quantum Machine Learning Grover和Shor算法在量子机器学习中的实现
D. K. Kumar, Elaprolu Hari Venkata Krishna, Rangu Ushasri, Vasiraju Jahnavi, K. Prakash, Sagar Imambi
{"title":"Implementation Of Grover's and Shor's Algorithms In Quantum Machine Learning","authors":"D. K. Kumar, Elaprolu Hari Venkata Krishna, Rangu Ushasri, Vasiraju Jahnavi, K. Prakash, Sagar Imambi","doi":"10.1109/IITCEE57236.2023.10091029","DOIUrl":"https://doi.org/10.1109/IITCEE57236.2023.10091029","url":null,"abstract":"Algorithms for quantum machine learning are responsible for identifying essential information and predicting outcomes of the raw data samples. Unlike other mathematical methods that rely on a predetermined model to make predictions, these algorithms use existing data to continuously improve their ability to predict outcomes. Quantum computing algorithms have the capability to solve complex problems by leveraging the power of parallel computing, which allows them to perform many calculations simultaneously. The effectiveness of quantum computing algorithms in machine learning allows quantum technology to reach an advanced level of improvement. This study examines application-based algorithms, namely Grover's algorithm and Shor's algorithm, which are essential and most widely used quantum machine learning algorithms.","PeriodicalId":124653,"journal":{"name":"2023 International Conference on Intelligent and Innovative Technologies in Computing, Electrical and Electronics (IITCEE)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133415937","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
Identification of Fatigue Drivers Based on Multiple Convolutional Neural Networks in Accelerometry Data 基于多重卷积神经网络的加速度测量数据疲劳驱动识别
Venkatramanan C B, B. Rajasekar, S. M. Basha, A. G. Soundari, R. Dhanalakshmi
{"title":"Identification of Fatigue Drivers Based on Multiple Convolutional Neural Networks in Accelerometry Data","authors":"Venkatramanan C B, B. Rajasekar, S. M. Basha, A. G. Soundari, R. Dhanalakshmi","doi":"10.1109/IITCEE57236.2023.10090870","DOIUrl":"https://doi.org/10.1109/IITCEE57236.2023.10090870","url":null,"abstract":"Driving ability may be negatively impacted by prolonged sitting and lack of sleep. Therefore, knowing a driver's objective sitting and sleeping patterns might assist to lessen potential dangers. Study participants' raw accelerometry information was collected throughout a simulated driving activity, and deep learning was used to categories participants' sitting and sleeping habits. The students work in the lab for a whole week. During a 20-minute simulated drive, raw accelerometry data was acquired via a device worn on the thigh. Accelerometry data was trained on two convolutional neural networks to create four distinct categories. Five-fold cross-validation was used to assess accuracy. Using class activation mapping, researchers were able to identify class-specific differences in the dynamics of movement and posture. Results from a simulated drive using a thigh-mounted accelerometer show that CNN isa viable option for categorization. The results of this method might help in the detection of potentially impaired drivers due to exhaustion.","PeriodicalId":124653,"journal":{"name":"2023 International Conference on Intelligent and Innovative Technologies in Computing, Electrical and Electronics (IITCEE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130585246","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
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