2023 4th International Conference on Signal Processing and Communication (ICSPC)最新文献_第4页

An Novel Algorithm for Cloud Secure Storage Using Cloud Dispersion and Block Chain System 基于云分散和区块链系统的云安全存储新算法

2023 4th International Conference on Signal Processing and Communication (ICSPC) Pub Date : 2023-03-23 DOI: 10.1109/ICSPC57692.2023.10125836

R.Vijaya Manikandan, K. Gurunathan, D. Ravindran, M. Sanjai, V.P. Pranav Raja

引用次数: 0

Deep Learning based Compressive Sensing – Radial Basis Functional Neural Network for Image Fusion 基于深度学习的压缩感知-径向基函数神经网络图像融合

2023 4th International Conference on Signal Processing and Communication (ICSPC) Pub Date : 2023-03-23 DOI: 10.1109/ICSPC57692.2023.10125721

M. Devi, I. S. Akila

引用次数: 0

Gender Detection and Classification from Fingerprints Using Convolutional Neural Network 基于卷积神经网络的指纹性别检测与分类

2023 4th International Conference on Signal Processing and Communication (ICSPC) Pub Date : 2023-03-23 DOI: 10.1109/ICSPC57692.2023.10125703

Anju Narayanan, Quazi Mateenuddin Hameeduddin

引用次数: 0

Time Series Forecasting of Ethereum Price by FB-Prophet FB-Prophet对以太坊价格的时间序列预测

2023 4th International Conference on Signal Processing and Communication (ICSPC) Pub Date : 2023-03-23 DOI: 10.1109/ICSPC57692.2023.10125661

P. Yuvarani, P. Bharani, B. Dharun, P. Dinesh

引用次数: 0

Thresholding based Tomato Leaf Disease Classification 基于阈值法的番茄叶片病害分类

2023 4th International Conference on Signal Processing and Communication (ICSPC) Pub Date : 2023-03-23 DOI: 10.1109/ICSPC57692.2023.10125865

S. L. Vini, P. Rathika

{"title":"Thresholding based Tomato Leaf Disease Classification","authors":"S. L. Vini, P. Rathika","doi":"10.1109/ICSPC57692.2023.10125865","DOIUrl":"https://doi.org/10.1109/ICSPC57692.2023.10125865","url":null,"abstract":"The tomato is a large consumable vegetable; whose production suffers due to various types of plant diseases at every stage of a plant’s growth under various circumstances. Out of all the diseases, mosaic, curl viruses, and leaf mold are the most dreadful tomato leaf diseases, which are recorded all over the world. The computerized detection of these diseases helps in developing an Automated Fast Detection and Decision Making System for the identification of various types of diseases on the Tomato Plant. This paper explains the application of a Kapur-based thresholding technique for the detection of mosaic, curl virus, and leaf mold infected regions on tomato leaves. And for the classification of these diseases, the features are extracted, and classification is performed using six different machine learning based classifiers: KNN, Ensemble Classifier, Discriminant Analysis, Decision Tree, SVM, and Naive Bayes for comparing results. The proposed method accurately detects the disease infected area and scores with a maximum of 90% accuracy through the KNN classifier, which outperforms other classifiers. So, while designing computerised diagnosis of mosaic, curl, and leaf mold viruses on tomato plant leaves, the proposed approach can be considered.","PeriodicalId":109624,"journal":{"name":"2023 4th International Conference on Signal Processing and Communication (ICSPC)","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121447834","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 of a Smart Embedded Vision System Based on FPGA for Medical Applications 基于FPGA的医疗智能嵌入式视觉系统设计

2023 4th International Conference on Signal Processing and Communication (ICSPC) Pub Date : 2023-03-23 DOI: 10.1109/ICSPC57692.2023.10125679

Amar Babu Yandrapati, Venkata Krishna Pratap Reddy Singam, Banbhushan Namburu, Venkatesh Paladugu, Tirumala Krishna Karakula

{"title":"Design of a Smart Embedded Vision System Based on FPGA for Medical Applications","authors":"Amar Babu Yandrapati, Venkata Krishna Pratap Reddy Singam, Banbhushan Namburu, Venkatesh Paladugu, Tirumala Krishna Karakula","doi":"10.1109/ICSPC57692.2023.10125679","DOIUrl":"https://doi.org/10.1109/ICSPC57692.2023.10125679","url":null,"abstract":"Applications in fields like medical, robots, and automobiles must have embedded vision with the optimized design metrics in today’s smart environment. A tiny computer and camera can be used to create a tiny vision system for the specific purpose; this kind of system is called an embedded vision system. For better design metrics, this project involves developing an embedded vision system and putting it to use in real-time applications. Design criteria that are optimized include low price, rapid development, compact size, and swift speed. The proposed embedded vision system is implemented with the ZYNQSOC. The ZYNQ SOC combines the software programmability of a CPU with the hardware programming of such an FPGA to give high adaptability, excellent performance, scalability, and low power. The embedded vision system was tested by attaching the OV7670 camera to the zedboard. The Zedboard’s client-server architecture enables real-time continuous data streaming to the Computer via Ethernet. The hardware platform for the suggested embedded vision system is developed with built-in IP cores in VHDL in Vivado, C-language application software written in SDK, and Petalinux on Ubuntu. This platform is required for applications based on embedded vision systems. Applications for the proposed biomedical clever integrated vision system are available.","PeriodicalId":109624,"journal":{"name":"2023 4th International Conference on Signal Processing and Communication (ICSPC)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117171455","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 Framework for Network Intrusion Detection in Healthcare Domain 一种新的医疗领域网络入侵检测框架

2023 4th International Conference on Signal Processing and Communication (ICSPC) Pub Date : 2023-03-23 DOI: 10.1109/ICSPC57692.2023.10125636

Sherine Wise Betsy, A. Murugesan, N. Ganapathy, N. Pughazendi

{"title":"A Novel Framework for Network Intrusion Detection in Healthcare Domain","authors":"Sherine Wise Betsy, A. Murugesan, N. Ganapathy, N. Pughazendi","doi":"10.1109/ICSPC57692.2023.10125636","DOIUrl":"https://doi.org/10.1109/ICSPC57692.2023.10125636","url":null,"abstract":"The quick development of the Internet-of-Medical-Things (IoMT) brings the medical services environment into another reality comprised of tidy medical tools and applications that give numerous advantages, like remote clinical help, convenient organisation of drugs, constant checking, preventive consideration, and wellbeing instruction. Nevertheless, in spite of the important benefits, this fresh reality raises concerns about cybersecurity and solitude since susceptible IoMT gadgets can access and deal with independently collected patient information. Besides, the persistent advancement of cyberattacks, malware, and zero-day weaknesses requires the improvement of the fitting countermeasures. In this article, we illustrate an intrusion detection and prevention system (IDPS) that can ensure the medical care interchanges that depend on the hypertext transfer protocol (HTTP) and the transmission control protocol (TCP). The primary commitment of this study lies in the way that a functioning learning approach is demonstrated and taken on to retrain progressively the regulated classifiers behind the implemented IDPS. The assessment examination exhibits the effectiveness of this work compared with HTTP and TCP cyberattacks, illustrating how the whole exactness is enhanced in the different re-training stages.","PeriodicalId":109624,"journal":{"name":"2023 4th International Conference on Signal Processing and Communication (ICSPC)","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115728899","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

IoT Based Fire Protection System 基于物联网的消防系统

2023 4th International Conference on Signal Processing and Communication (ICSPC) Pub Date : 2023-03-23 DOI: 10.1109/ICSPC57692.2023.10125807

D. Kumar, B. Bharathraj, V. Vishak, S. Jasith, L. Raja

{"title":"IoT Based Fire Protection System","authors":"D. Kumar, B. Bharathraj, V. Vishak, S. Jasith, L. Raja","doi":"10.1109/ICSPC57692.2023.10125807","DOIUrl":"https://doi.org/10.1109/ICSPC57692.2023.10125807","url":null,"abstract":"This work introduces a fire Management system to track different kinds of fire attacks across industries. While traditional research mostly focuses on creating fire sensing. Fire alarm systems are only useful if they can reliably and quickly send out fire alerts that include the whereabouts of the flames the quantity of fire damage Considering the time it takes for various fire alarm systems to respond directly correlated. The interior environments of public buildings can be complicated and diverse, which makes it important to consider how to safeguard people in the event of a fire and get them to a safe place as fast as possible. Fire faucets, fire pumps, hose reels, smoke alarms, safety exit signs, temperature gauges, and fire doors are just a few examples of the types of firefighting equipment that may be dynamically tracked and controlled using the Internet of Things. Recently, a few life-safety systems that integrate a smoke sensor and an alarm device have been created for fire warning and alarm systems. However, these fire alarm systems can make mistakes and respond to erroneous signals that aren’t actually fire signs. High-end, sophisticated fire alarm systems are necessary, and they must use a range of sensor values to identify actual fires, including a signal from smoke, heat, humidity, and flame sensors.","PeriodicalId":109624,"journal":{"name":"2023 4th International Conference on Signal Processing and Communication (ICSPC)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125333038","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

Mental Healthcare Analysis using Power BI & Machine Learning 使用Power BI和机器学习的心理健康分析

2023 4th International Conference on Signal Processing and Communication (ICSPC) Pub Date : 2023-03-23 DOI: 10.1109/ICSPC57692.2023.10125680

Jash Virani, Nikita Daredi, Aayush Bhanushali, Madhu Shukla, Pooja Shah

{"title":"Mental Healthcare Analysis using Power BI & Machine Learning","authors":"Jash Virani, Nikita Daredi, Aayush Bhanushali, Madhu Shukla, Pooja Shah","doi":"10.1109/ICSPC57692.2023.10125680","DOIUrl":"https://doi.org/10.1109/ICSPC57692.2023.10125680","url":null,"abstract":"The rise in mental health problems among people and the need for effective solutions for mental health have led to a lot of research in the machine learning domain for its applications in mental healthcare Many people’s lives have been affected by the exponential rise in mental health and depression, and various factors must be revised. Different situations can have an impact on one’s mental stability. So, taking the factors in mind like gender, age, insomnia, loneliness, depression level, aggressiveness, stress level etc. we are going to analyze the most affecting factors for poor mental health. Nowadays mostly people are facing some kind of mental health problems but very few people are giving attention to their mental health. So, our main purpose is to analyze the factors and find those factors which are responsible for a person’s poor mental health. Those factors are also anonymous by the person itself and They don’t even know that they have weak mental health. For that we have taken the initiative to analyze and point out the main causes for poor mental health by circulating a google form Which has questions regarding regular lifestyle and from that we have collected data of different types of persons who are from different professions like students, employees, professors etc. After collecting the data, we had done preprocessing on that data and then we applied machine learning algorithms for classification and prediction. By applying machine learning algorithms, we found different types of outputs and by taking those outputs we can say which are more affecting factors on a person’s mental health and we can suggest how people should improve their mental health and what type of things they should avoid for their good mental health.","PeriodicalId":109624,"journal":{"name":"2023 4th International Conference on Signal Processing and Communication (ICSPC)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121915239","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

Real-Time Suspicious Counter-Flow Detection 实时可疑逆流检测

2023 4th International Conference on Signal Processing and Communication (ICSPC) Pub Date : 2023-03-23 DOI: 10.1109/ICSPC57692.2023.10126016

Atif Faridi, Farheen Siddiqui, Md. Tabrez Nafis, M. Ahad

{"title":"Real-Time Suspicious Counter-Flow Detection","authors":"Atif Faridi, Farheen Siddiqui, Md. Tabrez Nafis, M. Ahad","doi":"10.1109/ICSPC57692.2023.10126016","DOIUrl":"https://doi.org/10.1109/ICSPC57692.2023.10126016","url":null,"abstract":"In this study, we propose a real-time method for detecting suspicious counter-flow of persons in a video surveillance system. The proposed method uses the YOLO (You Only Look Once) object detection algorithm to detect persons in each frame of the video. A hiding time Kalman filter is then used to predict the position of each person in the next frame, taking into account their movement patterns. Finally, a probabilistic data association algorithm is applied to associate the person detected in each frame with their corresponding tracks. To detect suspicious counter-flow, we define a set of rules based on the direction of movement of the person and their track history. If a person is detected moving in the opposite direction of the expected flow, and if they persist in their counter-flow movement for a certain duration, the system raises an alert. The proposed method offers an effective solution for real-time detection of anomalous person behavior, particularly in crowded environments, and can be used in a variety of applications such as public safety, security, and traffic management. The proposed method is a cutting-edge approach for detecting person counter flow in public or private places using motion analysis, achieving real-time performance on an Intel Core i7 CPU, with varying performance depending on the level of traffic. The observed performance is 14 to 10 frames per second in dense regions (public traffic 35 to 60), 20 to 14 frames per second in moderate regions (public traffic 20 to 35) and more than 20 in sparse regions (public traffic less than 20).","PeriodicalId":109624,"journal":{"name":"2023 4th International Conference on Signal Processing and Communication (ICSPC)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114937873","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