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A Comparatively Study of Machine Learning Approaches to Predict Service of Disease Haemophilia A 血友病A病服务预测的机器学习方法比较研究
2021 First International Conference on Advances in Computing and Future Communication Technologies (ICACFCT) Pub Date : 2021-12-16 DOI: 10.1109/icacfct53978.2021.9837346
K. Kumar, Prem Kumari Verma, Nagendra Pratap Singh
{"title":"A Comparatively Study of Machine Learning Approaches to Predict Service of Disease Haemophilia A","authors":"K. Kumar, Prem Kumari Verma, Nagendra Pratap Singh","doi":"10.1109/icacfct53978.2021.9837346","DOIUrl":"https://doi.org/10.1109/icacfct53978.2021.9837346","url":null,"abstract":"This paper has motivation behind well-organism prediction of disease severity of Haemophilia, which is defined as an X-linked genetic illness due to deficiency of protein factor vIII. Severity of the diseases depends on mutation. Computational biology is described for mutation in Haemophilia. impact of this disease, its feature. There are various researchers to define the Machine Learning methodology to visualize the mutation severity of the disease Haemophilia. The high time complexity, training time, dimensional data and accuracy of different approaches of Machine Learning technologies for for cast of disease severity of Hemophilia A is compared and explained in this paper.","PeriodicalId":312952,"journal":{"name":"2021 First International Conference on Advances in Computing and Future Communication Technologies (ICACFCT)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134118208","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
Current COVID-19 Analysis and Future Pandemics Prediction using Internet of Everything (IoE) 基于万物互联(IoE)的当前COVID-19分析和未来流行病预测
2021 First International Conference on Advances in Computing and Future Communication Technologies (ICACFCT) Pub Date : 2021-12-16 DOI: 10.1109/icacfct53978.2021.9837343
Shivang Sharma, Ajay Kumar Singh
{"title":"Current COVID-19 Analysis and Future Pandemics Prediction using Internet of Everything (IoE)","authors":"Shivang Sharma, Ajay Kumar Singh","doi":"10.1109/icacfct53978.2021.9837343","DOIUrl":"https://doi.org/10.1109/icacfct53978.2021.9837343","url":null,"abstract":"Internet of the Everything (IoE) along with different technologies like Cloud and Arduino UNO is of great use throughout the disaster. We have used the MLX90614 Sensor to send the temperature of the person on the cloud with the help of Arduino UNO. This sensor can assist in discovering all of the humans who have come into touch with the infected people. This IoE generation is also useful in tracking sufferers. For those who are having a high probability of getting infected, their information can be supplied to the healthcare workforce to take further action. The COVID-19 epidemic can be controlled by IoE-stimulated frameworks. IoE answers at the side of far-flung health monitoring. If the disease is found in a suspected person then this information is passed through IoE to the health care team. IoE technology which is used here can be a fantastic way to control epidemics. Here we have maintained the privacy and protection issues in our project. IoE is very well analyzed with growing requirements and for multi-tasking practices.","PeriodicalId":312952,"journal":{"name":"2021 First International Conference on Advances in Computing and Future Communication Technologies (ICACFCT)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131833657","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
Review on Metamorphic Cryptography: A Combined Approach of Cryptography & Steganography Techniques 变形密码学研究进展:密码学与隐写技术的结合
2021 First International Conference on Advances in Computing and Future Communication Technologies (ICACFCT) Pub Date : 2021-12-16 DOI: 10.1109/icacfct53978.2021.9837385
Ritima Tripathi, L. S. Umrao, Abhinandan Tripathi
{"title":"Review on Metamorphic Cryptography: A Combined Approach of Cryptography & Steganography Techniques","authors":"Ritima Tripathi, L. S. Umrao, Abhinandan Tripathi","doi":"10.1109/icacfct53978.2021.9837385","DOIUrl":"https://doi.org/10.1109/icacfct53978.2021.9837385","url":null,"abstract":"In the current modern era the transmission of any confidential information over any communication network is an important concern. We can secure any message using the concept of cryptography or embedding the private message into any multimedia file like text, audio, image & video. If we use both concepts separately then it is not more effective in the context of security. So, the combination of both concepts means combination of cryptography and steganography provides more security to the confidential message. In this review paper we analyse the several combinations of cryptographic and steganographic algorithms over different multimedia messages.","PeriodicalId":312952,"journal":{"name":"2021 First International Conference on Advances in Computing and Future Communication Technologies (ICACFCT)","volume":"156 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116228458","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
Urge To Implement IOT For Monitoring and Preventing Blood Bank System Crisis 督促实施物联网监测和预防血库系统危机
2021 First International Conference on Advances in Computing and Future Communication Technologies (ICACFCT) Pub Date : 2021-12-16 DOI: 10.55522/jmpas.v11i3.2069
Amrita Verma Pargaien
{"title":"Urge To Implement IOT For Monitoring and Preventing Blood Bank System Crisis","authors":"Amrita Verma Pargaien","doi":"10.55522/jmpas.v11i3.2069","DOIUrl":"https://doi.org/10.55522/jmpas.v11i3.2069","url":null,"abstract":"Blood is stored and managed in blood banks to used later in blood transfusions and blood donation is a noble deed which saves millions life, both in regular and emergency conditions. But current manual and scattered system has many issues, not safe and efficient. Centralized blood banks are a solution for most of the issues faced in current blood bank management system and IOT has played a major important role in this field. Cloud based CBBMS has strengthened whole blood supply chain and patient safety. There are many applications and web-based platforms available that utilize cloud technology and internet, and are easy to use and manage. some of the online CBBMS apps are reviewed that are available in India and application of IOT in CBBMS at broader scale to improve the functioning of current apps, utilizing IOT to educate and create awareness among community about blood donation. Also, there should be applied a single nationwide internet-based application to connect all the donors, patients, government and NGO run blood banks, to strengthen overall blood supply chain efficiently and safely. Few of the solutions have also been proposed at the end for preventing blood waste and encouraging blood donation.","PeriodicalId":312952,"journal":{"name":"2021 First International Conference on Advances in Computing and Future Communication Technologies (ICACFCT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123883235","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: 2
Performance Analysis of Different Techniques of Traffic Control System 交通控制系统不同技术性能分析
2021 First International Conference on Advances in Computing and Future Communication Technologies (ICACFCT) Pub Date : 2021-12-16 DOI: 10.1109/icacfct53978.2021.9837382
Sachin Pachauri, Ramashankar Yadav, Sudhanshu Maurya, Gaurav Verma, A. Saxena, N. Agarwal
{"title":"Performance Analysis of Different Techniques of Traffic Control System","authors":"Sachin Pachauri, Ramashankar Yadav, Sudhanshu Maurya, Gaurav Verma, A. Saxena, N. Agarwal","doi":"10.1109/icacfct53978.2021.9837382","DOIUrl":"https://doi.org/10.1109/icacfct53978.2021.9837382","url":null,"abstract":"Due to the increases in the number of vehicles on the roads, traffic congestion turns out to be key crisis now days. In current scenario we can’t say that traffic jam is occurring mainly in urban areas, in rural area also traffic jams are increasing. These traffic jams are behind problem like air pollution, noise pollution or delay in time. These traffic jams can’t be resolve by only deploying traffic lights in all cities because these lights have fixed interval of time between red and green light. Keeping this in mind many attempts were done to change time interval according to the density of vehicles on the road. In this paper we had summarize different techniques for traffic management and control system that can used for improvement of current system.","PeriodicalId":312952,"journal":{"name":"2021 First International Conference on Advances in Computing and Future Communication Technologies (ICACFCT)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128750499","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
Multi-classification of COVID-19 and pneumonia in chest X-ray images using convolutional neural network 基于卷积神经网络的新型冠状病毒肺炎胸片多重分类
2021 First International Conference on Advances in Computing and Future Communication Technologies (ICACFCT) Pub Date : 2021-12-16 DOI: 10.1109/icacfct53978.2021.9837356
Faraz Omar, Zara Nasim, Muhammad Izharuddin
{"title":"Multi-classification of COVID-19 and pneumonia in chest X-ray images using convolutional neural network","authors":"Faraz Omar, Zara Nasim, Muhammad Izharuddin","doi":"10.1109/icacfct53978.2021.9837356","DOIUrl":"https://doi.org/10.1109/icacfct53978.2021.9837356","url":null,"abstract":"In December 2019, Wuhan became the epicenter of the deadly novel coronavirus (COVID-19), which spread to every corner of the world. Many health systems have seen collapse due to the limited capacity of the system and an exponential increase of suspected COVID-19 cases. A dependable and cost-effective technique is sought to reduce the overloading of radiologists’ efforts to detect suspected cases early, which may reduce the patient’s death rate. For the detection of COVID-19, this paper has proposed a deep learning multi-classification model. The model is developed using feature extraction by a convolutional neural network (CNN) from chest X-ray images, which could detect COVID-19 and pneumonia correctly. The proposed model is then compared with a pre-trained model, Xception. The proposed model shows 95.53 % accuracy, 0.936 recall, 0.936 precision, 0.936 F1-score while the Xception pre-trained model shows 93.04 % accuracy, 0.936 recall, 0.906 precision, 0.910 F1 score.","PeriodicalId":312952,"journal":{"name":"2021 First International Conference on Advances in Computing and Future Communication Technologies (ICACFCT)","volume":"665 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115124035","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
Extraction and Comparative Inspection of several parameters of 6T, 8T, 10T SRAM 6T、8T、10T SRAM几个参数的提取与对比检验
2021 First International Conference on Advances in Computing and Future Communication Technologies (ICACFCT) Pub Date : 2021-12-16 DOI: 10.1109/icacfct53978.2021.9837366
Rakesh Murthy Gangadari, Dharmendra Singh Yadav
{"title":"Extraction and Comparative Inspection of several parameters of 6T, 8T, 10T SRAM","authors":"Rakesh Murthy Gangadari, Dharmendra Singh Yadav","doi":"10.1109/icacfct53978.2021.9837366","DOIUrl":"https://doi.org/10.1109/icacfct53978.2021.9837366","url":null,"abstract":"For good memory design we need to explore the stability of the circuit in read and write modes and parallely keep track of better read and write delays . The main significance of this paper is to inspect several parameters like Read Delay(RD), Write Delay(WD), Average Power Consumption(APC) and all Static Noise Margins for read, write and hold modes(SNMR, SNMW, SNMH). We can change cell ratio and pull up ratio and do comparative analysis in two ways 1) varying CR, PR for 6T, 8T, 10T 2) By fixing CR, PR compare 6T, 8T, 10T comment on their performances. We can achieve better read delay and write delay as we increase the number of transistors, Variation in supply voltage and variation of CR and PR. The increase of these parameters and number of transistors cause an increase in power dissipation, so we have to draw lines based on power consumption and area occupied by our circuit.","PeriodicalId":312952,"journal":{"name":"2021 First International Conference on Advances in Computing and Future Communication Technologies (ICACFCT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128897889","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
Analysis of Various Smart Traffic Lighting Systems 各种智能交通照明系统分析
2021 First International Conference on Advances in Computing and Future Communication Technologies (ICACFCT) Pub Date : 2021-12-16 DOI: 10.1109/icacfct53978.2021.9837355
A. Jagadeeshwaran, H. Kumar, Saiyed Salim Sayeed, C. Vaithilingam
{"title":"Analysis of Various Smart Traffic Lighting Systems","authors":"A. Jagadeeshwaran, H. Kumar, Saiyed Salim Sayeed, C. Vaithilingam","doi":"10.1109/icacfct53978.2021.9837355","DOIUrl":"https://doi.org/10.1109/icacfct53978.2021.9837355","url":null,"abstract":"A smart traffic light should consider the physical traffic flow resulting in a fixed traffic rhythm. The notion of smart traffic lights has developed to overcome the issues experienced in traditional traffic lighting systems. Smart traffic lights refer to the electronic gadgets that actively manage traffic and pedestrian mobility. In order to embed such a quality, smart traffic lighting system should define certain traffic features in actuality. The smart traffic lightning systems can apply to manage traffic as it is based on the image acquisition and taking decision according to situation. The various type of traffic lighting systems is reviewed in this paper from different sources like of journals and conferences.","PeriodicalId":312952,"journal":{"name":"2021 First International Conference on Advances in Computing and Future Communication Technologies (ICACFCT)","volume":"103 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132775185","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
Blockchain-based solution for Demand Forecasting in Supply chain 基于区块链的供应链需求预测解决方案
2021 First International Conference on Advances in Computing and Future Communication Technologies (ICACFCT) Pub Date : 2021-12-16 DOI: 10.1109/icacfct53978.2021.9837339
Amitesh, D. Kumar
{"title":"Blockchain-based solution for Demand Forecasting in Supply chain","authors":"Amitesh, D. Kumar","doi":"10.1109/icacfct53978.2021.9837339","DOIUrl":"https://doi.org/10.1109/icacfct53978.2021.9837339","url":null,"abstract":"Demand forecasting is one of the most important activity for any business, marketing and sales. It is used to forecast the demand of the product based on the historical data to make supply chain decisions effectively. The mutability of historical data results in forecasting errors. Blockchain helps in providing immutable data storage. The data stored over blockchain will be authentic and can be used as trusted source of information. Blockchain-based demand forecasting will help in reducing time in making accurate decisions in the supply chain. This paper finally aims to overview numerous blockchain-based demand forecasting solutions to maximize the efficiency of the supply chain. In order to give a practical exhibition and explanation of how blockchain demand forecasting solutions improve the supply chain, a Proof of Concept (PoC) for a food supply chain scenario is presented.","PeriodicalId":312952,"journal":{"name":"2021 First International Conference on Advances in Computing and Future Communication Technologies (ICACFCT)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115068852","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
Compression and Extraction of the Region of Interest from Medical Images through Deep Learning Methods 基于深度学习方法的医学图像感兴趣区域的压缩与提取
2021 First International Conference on Advances in Computing and Future Communication Technologies (ICACFCT) Pub Date : 2021-12-16 DOI: 10.1109/icacfct53978.2021.9837370
Manali Gupta, Sanjay Sharma, Roshi Saxena, S. Arora, Yaduvir Singh
{"title":"Compression and Extraction of the Region of Interest from Medical Images through Deep Learning Methods","authors":"Manali Gupta, Sanjay Sharma, Roshi Saxena, S. Arora, Yaduvir Singh","doi":"10.1109/icacfct53978.2021.9837370","DOIUrl":"https://doi.org/10.1109/icacfct53978.2021.9837370","url":null,"abstract":"The objective of any medical image compression strategy include reducing the bit rate and increasing compression efficiency while trying to maintain the quality of diagnostic images. A partial region-based compression method is applied in order to achieve high compression rate and at the same time maintaining the image quality. Most of the medical images contain regions of interest which are critical for making the diagnoses. These regions, however, need to be removed and recreated in high quality. The present paper aims at describing and exploring deep learning techniques which can be used to extract regions of interest in MR brain imaging. The restored and the recreated high quality regions are then compressed through both lossless and lossy techniques.","PeriodicalId":312952,"journal":{"name":"2021 First International Conference on Advances in Computing and Future Communication Technologies (ICACFCT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124354940","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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