2022 Fourth International Conference on Cognitive Computing and Information Processing (CCIP)最新文献

Prediction of Lung Cancer at Early Stage Using Correlation Analysis and Regression Modelling 用相关分析和回归模型预测早期肺癌

2022 Fourth International Conference on Cognitive Computing and Information Processing (CCIP) Pub Date : 2022-12-23 DOI: 10.1109/CCIP57447.2022.10058630

J. Surendiran, K. Kumar, T. Sathiya, S. Sivasankari, R. G. Vidhya, N. Balaji

{"title":"Prediction of Lung Cancer at Early Stage Using Correlation Analysis and Regression Modelling","authors":"J. Surendiran, K. Kumar, T. Sathiya, S. Sivasankari, R. G. Vidhya, N. Balaji","doi":"10.1109/CCIP57447.2022.10058630","DOIUrl":"https://doi.org/10.1109/CCIP57447.2022.10058630","url":null,"abstract":"In this paper we have developed a machine learning algorithm to detect the lung cancer depending on the symptoms. Using the various regression algorithm of machine learning, we have detected the lung cancer. We have compared the different regression algorithm and found the accuracy among them in predicting the lung cancer by considering the various symptoms like age, gender, and chest pain, shortness of breath, alcohol consumption, chronic disease, swallowing difficulty, anxiety and peer pressure. The regression algorithm like linear algorithm, polynomial regression, logistic regression, logarithmic regression and multiple regression are used to predict the lung cancer and found out the accuracy in predicting the lung cancer. The accuracy in predicting lung cancer using multiple regression is 96% which is more when compared to the other regression. The correlation between the various symptoms and lung cancer is also found out by finding the r square value using different regression machine learning algorithm. From the r square value that is obtained from various algorithm it's identified the lung cancer depends on major symptom like chronic disease.","PeriodicalId":309964,"journal":{"name":"2022 Fourth International Conference on Cognitive Computing and Information Processing (CCIP)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122360200","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: 5

Convolutional Neural Network Based Atrial Fibrillation Detection from ECG Signal 基于卷积神经网络的心电信号心房颤动检测

2022 Fourth International Conference on Cognitive Computing and Information Processing (CCIP) Pub Date : 2022-12-23 DOI: 10.1109/CCIP57447.2022.10058671

Nabasmita Phukan, M. Manikandan, R. B. Pachori

引用次数: 1

An Analysis of Smart Clinical Trial Investigation Methods in Research Medicine Industries 研究型医药行业智能临床试验调查方法分析

2022 Fourth International Conference on Cognitive Computing and Information Processing (CCIP) Pub Date : 2022-12-23 DOI: 10.1109/CCIP57447.2022.10058659

Sonia Maria D’souza, Suchethana H C, Harshan Kg, N. Ashwin, Veeresh Km, P. K S

{"title":"An Analysis of Smart Clinical Trial Investigation Methods in Research Medicine Industries","authors":"Sonia Maria D’souza, Suchethana H C, Harshan Kg, N. Ashwin, Veeresh Km, P. K S","doi":"10.1109/CCIP57447.2022.10058659","DOIUrl":"https://doi.org/10.1109/CCIP57447.2022.10058659","url":null,"abstract":"Research is being done to see if it is possible to preserve the bodies of patients who have died in the absence of a cure and keep them alive after a cure is found. Researchers say that their bodies can be preserved by freezing and treated and brought back to life when a cure for the disease is found. They conduct this research on human and animal bodies by processing the bodies at minus 1% degree temperature with the help of nitrogen. It is questionable whether this experiment will be successful in the presence of nitrogen gas. However, they hope for success in the future. Studies have found that patients who undergo surgery at night are more likely to die without treatment than patients who undergo surgery during the day. In this paper a smart analysis of research medicine industries are evaluated with the help of clinical trial investigation methods. Clinical research is defined as a quality improvement process that seeks to improve patient care and outcomes by systematically reviewing care against defined criteria and implementing change. In a cut-off point, the proposed model reached 99.56% of cross sectional calculations, 97.52% of population computation, 95.18% of Event controlled modelling, 97.53% of clinical trial reports and 96.34% of confounding factors.","PeriodicalId":309964,"journal":{"name":"2022 Fourth International Conference on Cognitive Computing and Information Processing (CCIP)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128097190","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

Agent Based Queue Aware Scheduling for Reliable Distributed Multicore System 基于Agent的可靠分布式多核系统队列感知调度

2022 Fourth International Conference on Cognitive Computing and Information Processing (CCIP) Pub Date : 2022-12-23 DOI: 10.1109/CCIP57447.2022.10058626

G. Muneeswari, Reeja S R

引用次数: 0

Paying Guest Finder with Sentiment Analysis 带情感分析的付费客人查找器

2022 Fourth International Conference on Cognitive Computing and Information Processing (CCIP) Pub Date : 2022-12-23 DOI: 10.1109/CCIP57447.2022.10058622

Pawan Bharadwaj N P, Uma Kp

引用次数: 0

Convolutional Neural Network Based ECG Quality Assessment Using Derivative Signal 基于卷积神经网络的导数信号心电质量评价

2022 Fourth International Conference on Cognitive Computing and Information Processing (CCIP) Pub Date : 2022-12-23 DOI: 10.1109/CCIP57447.2022.10058688

Achinta Mondal, M. Manikandan, R. B. Pachori

{"title":"Convolutional Neural Network Based ECG Quality Assessment Using Derivative Signal","authors":"Achinta Mondal, M. Manikandan, R. B. Pachori","doi":"10.1109/CCIP57447.2022.10058688","DOIUrl":"https://doi.org/10.1109/CCIP57447.2022.10058688","url":null,"abstract":"Automatic electrocardiogram (ECG) signal quality assessment is most essential for reducing false alarm rates and energy consumption of health monitoring devices. In this paper, we propose an automatic ECG signal quality assessment method by using derivative ECG (dECG) signal and convolutional neural network (CNN). The proposed dECG-CNN method is tested by using the noise-free ECG and noisy-ECG signals collected from standard databases. On the benchmark performance metrics, the proposed method had an accuracy of 100%. Evaluation results further showed that the proposed method can achieve false alarm reduction rate of 100% for a total number of 30850 noisy segments. It is observed that the proposed method outperforms the recent ECG quality assessment methods such as pretrained CNN models, deep belief network. The method has great potential in improving accuracy and reliability of cardiovascular diseases (CVD) diagnostic systems and improving energy efficiency of battery powered wearable and portable medical devices. The optimal CNN model for ECG signal quality assessment is implemented on Raspberry pi-4 as real time computing platform.","PeriodicalId":309964,"journal":{"name":"2022 Fourth International Conference on Cognitive Computing and Information Processing (CCIP)","volume":"107 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133952088","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

Advance Single Stage Convolutional Neural Network for Drug-Drug Interactions 用于药物-药物相互作用的先进单阶段卷积神经网络

2022 Fourth International Conference on Cognitive Computing and Information Processing (CCIP) Pub Date : 2022-12-23 DOI: 10.1109/CCIP57447.2022.10058636

Alpha Vijayan, Chandrasekar B.S

{"title":"Advance Single Stage Convolutional Neural Network for Drug-Drug Interactions","authors":"Alpha Vijayan, Chandrasekar B.S","doi":"10.1109/CCIP57447.2022.10058636","DOIUrl":"https://doi.org/10.1109/CCIP57447.2022.10058636","url":null,"abstract":"Drug-drug interactions are one of the important and frequently happening medication issues in older age patients. The complexity of the drug-drug interactions and formation of side effects increases with a greater number of drugs consumed. Side effects are created when one drug's key factors or molecules inhibit or alter the functionality of the other drug. Drug - drug interactions can broadly be classified into pharmacokinetic and pharmacodynamics where both the states result in side effects, if not consumed with the right combination. Drug-Drug interactions happen because one drug interacts with other drugs during the consumption of both drugs at the same time. The current research talks about Convolutional neural networks with word embedding as input features. The goal of the papers is to propose a robust model that uses fewer parameters to train and arrive at a high accuracy model for predictions. We propose a novel single-stage detection method such as yolo or single shot detector to predict the output of the model. The object region will be treated as a simple traditional regression problem. The class probabilities of each region are calculated and predicted the bounding box coordinates. These models are used in predicting the class variables with high accuracy and much faster than a traditional two-stage detector models.","PeriodicalId":309964,"journal":{"name":"2022 Fourth International Conference on Cognitive Computing and Information Processing (CCIP)","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130816813","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

Sign Language Recognition Using Keypoints Through DTW 基于DTW的手语关键点识别

2022 Fourth International Conference on Cognitive Computing and Information Processing (CCIP) Pub Date : 2022-12-23 DOI: 10.1109/CCIP57447.2022.10058664

Sumathi Pawar, Karuna Pandith, Manjula Gururaj Rao, N. Chiplunkar, Rajalaxmi Samaga

{"title":"Sign Language Recognition Using Keypoints Through DTW","authors":"Sumathi Pawar, Karuna Pandith, Manjula Gururaj Rao, N. Chiplunkar, Rajalaxmi Samaga","doi":"10.1109/CCIP57447.2022.10058664","DOIUrl":"https://doi.org/10.1109/CCIP57447.2022.10058664","url":null,"abstract":"Hearing-impaired people utilize hand signals, which is an organized collection of hand gestures with distinct meanings. Despite the fact that automated Sign Language Recognition(SLR) is essential for these people, the focus of the research is still challenging and mostly unexplored. This paper is focused on an implemented system for recognizing sign language using SLR system. For numerous computer vision that help to increase communications among hearing impaired, deaf and dumb the sign language identification is a exciting and crucial research area. This research, offers a model with Dynamic Time Wrapping(DTW) approach for recognizing signs in video clips. This innovative technique uses body and hand skeletal features that are derived from RGB movies to capture highly discriminative skeletal data for gesture identification. Experiments on a sizable sign language videos shows that this methodology is better than other cutting-edge methods that just use RGB features. The holistic features extracted as connected key points to identify sign language of the image and accuracy of the results are analyzed.","PeriodicalId":309964,"journal":{"name":"2022 Fourth International Conference on Cognitive Computing and Information Processing (CCIP)","volume":"118 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132911578","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

Analysis On Word2Vec For User Recommendations Word2Vec对用户推荐的分析

2022 Fourth International Conference on Cognitive Computing and Information Processing (CCIP) Pub Date : 2022-12-23 DOI: 10.1109/CCIP57447.2022.10058650

Rithvik Kiran Joshi, Riti, Shilpa Setru, Pushpa Thyamagondlu Srinivasaiah

引用次数: 0

Hardware Inventory Management System Using IoT 使用物联网的硬件库存管理系统

2022 Fourth International Conference on Cognitive Computing and Information Processing (CCIP) Pub Date : 2022-12-23 DOI: 10.1109/CCIP57447.2022.10058647

Abhilash Karri, Sharath S. Rao, D. Ashoka, N. B, Sahana V, Vishnu B V

{"title":"Hardware Inventory Management System Using IoT","authors":"Abhilash Karri, Sharath S. Rao, D. Ashoka, N. B, Sahana V, Vishnu B V","doi":"10.1109/CCIP57447.2022.10058647","DOIUrl":"https://doi.org/10.1109/CCIP57447.2022.10058647","url":null,"abstract":"Hardware inventory management plays a pivotal role in warehouse goods management for several industrial activities. Hardware inventory management helps to track warehouse goods, ensures that there is an adequate amount of goods left back in the inventory, and prevents overstock or shortage of stocks. This paper discusses the above procedure to be implemented with the help of IoT. In this study, the purpose of the application was to serve withless wiring, fewer components, and to make the system be available at a low cost. This system uses NodeMCU ESP8266 module which is an open-source platform having built in Wi-Fi-module feature, which is best suited for IoT related applications. The tracking and stock details were automatically updated on a management systemconnected to the same network as that of the developed system. A detailed graphical representation of the stock availability in a warehouse can be viewed. From the graph, the inventory manager can decide whether to increase the stock quantity or not. The methods that are currently being followed are more human- dependent and not framed with modern technology. Therefore, inventory details are not always accurate, which may also be one of the reasons why a business experiences loss. With this system, the entire process is made more automated, with less human intervention, thereby providing accurate values for inventory goods.","PeriodicalId":309964,"journal":{"name":"2022 Fourth International Conference on Cognitive Computing and Information Processing (CCIP)","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116089687","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