Pub Date : 2020-09-28DOI: 10.1109/ICCCSP49186.2020.9315277
Md. Rakibul Hasan Molla, Moushan Naznin, Md. Rafiqul Islam
In this paper, a renowned meta-heuristic algorithm named chemical reaction optimization (CRO) is applied to solve the Dynamic Facility Layout Problem (DFLP). DFLP is an NP-hard problem. This work employed chemical reaction optimization to optimize the total manufacturing cost in economic sight. Chemical reaction optimization is a population based meta-heuristic algorithm. CRO is applied to DFLP by redesigning its basic operators and designing two new additional operators to get optimal results. The two additional operators are selection and repair operators. The proposed algorithm based on CRO is tested on a benchmark dataset and compared with other algorithms. The experimental results show that our proposed method gives better results than other algorithms in terms of minimization of cost.
{"title":"Dynamic Facility Layout Problem Using Chemical Reaction Optimization","authors":"Md. Rakibul Hasan Molla, Moushan Naznin, Md. Rafiqul Islam","doi":"10.1109/ICCCSP49186.2020.9315277","DOIUrl":"https://doi.org/10.1109/ICCCSP49186.2020.9315277","url":null,"abstract":"In this paper, a renowned meta-heuristic algorithm named chemical reaction optimization (CRO) is applied to solve the Dynamic Facility Layout Problem (DFLP). DFLP is an NP-hard problem. This work employed chemical reaction optimization to optimize the total manufacturing cost in economic sight. Chemical reaction optimization is a population based meta-heuristic algorithm. CRO is applied to DFLP by redesigning its basic operators and designing two new additional operators to get optimal results. The two additional operators are selection and repair operators. The proposed algorithm based on CRO is tested on a benchmark dataset and compared with other algorithms. The experimental results show that our proposed method gives better results than other algorithms in terms of minimization of cost.","PeriodicalId":310458,"journal":{"name":"2020 4th International Conference on Computer, Communication and Signal Processing (ICCCSP)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114808079","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}
Pub Date : 2020-09-28DOI: 10.1109/ICCCSP49186.2020.9315225
R. Monika, Y. Rao
Rain streaks and droplets removal from an image is quite complex. In rainy days, the performance of outdoor vision system will be degraded due to poor visibility, deformation and blurring caused by rain. In this paper, modified multi-stage Gaussian filtering technique for rain streaks removal and a method for removing rain droplets on windscreen are proposed. Rain removed image is processed using dark channel prior algorithm for haze removal. Dark channel prior is combined with triple clipped dynamic histogram equalization technique for sharpness enhancement. The proposed algorithm is compared with that of Shi et al. [6] in terms of peak signal -to- noise ratio (PSNR) and structural similarity index (SSIM). Simulation results on variety of rain streaks and rain droplets images yielded an average PSNR and SSIM values of 52dB and 0.99 respectively using the proposed algorithm as compared with 32dB and 0.96 obtained using algorithm [6].
{"title":"Rainy Image Enhancement Using Modified Multistage Gaussian Filter and Weighted Median Guided Filter","authors":"R. Monika, Y. Rao","doi":"10.1109/ICCCSP49186.2020.9315225","DOIUrl":"https://doi.org/10.1109/ICCCSP49186.2020.9315225","url":null,"abstract":"Rain streaks and droplets removal from an image is quite complex. In rainy days, the performance of outdoor vision system will be degraded due to poor visibility, deformation and blurring caused by rain. In this paper, modified multi-stage Gaussian filtering technique for rain streaks removal and a method for removing rain droplets on windscreen are proposed. Rain removed image is processed using dark channel prior algorithm for haze removal. Dark channel prior is combined with triple clipped dynamic histogram equalization technique for sharpness enhancement. The proposed algorithm is compared with that of Shi et al. [6] in terms of peak signal -to- noise ratio (PSNR) and structural similarity index (SSIM). Simulation results on variety of rain streaks and rain droplets images yielded an average PSNR and SSIM values of 52dB and 0.99 respectively using the proposed algorithm as compared with 32dB and 0.96 obtained using algorithm [6].","PeriodicalId":310458,"journal":{"name":"2020 4th International Conference on Computer, Communication and Signal Processing (ICCCSP)","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126511522","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}
Pub Date : 2020-09-28DOI: 10.1109/ICCCSP49186.2020.9315193
Saurabh Suratkar, M. Shirole, S. Bhirud
A blockchain is a growing list of records, called blocks, that are linked using cryptography. Blockchain private and public keys are stored in a cryptocurrency wallet, but not the actual currency values. Wallets provide customers with the ability to send and receive virtual currency / tokens and tune their balance through interaction with blockchains. Multi-currency wallets may be broken down into 3 categories: software, hardware, and paper. Software wallets are web, mobile and desktop. Growing penetration of blockchain in many industries makes one to understand wallets in detail. There are a variety of wallet kinds to pick out from. This paper focuses on multi-currency wallets review exploring on features like supported currencies, anonymity, cost, platform support, key management, wallet recovery methods and fiat currencies supported.
{"title":"Cryptocurrency Wallet: A Review","authors":"Saurabh Suratkar, M. Shirole, S. Bhirud","doi":"10.1109/ICCCSP49186.2020.9315193","DOIUrl":"https://doi.org/10.1109/ICCCSP49186.2020.9315193","url":null,"abstract":"A blockchain is a growing list of records, called blocks, that are linked using cryptography. Blockchain private and public keys are stored in a cryptocurrency wallet, but not the actual currency values. Wallets provide customers with the ability to send and receive virtual currency / tokens and tune their balance through interaction with blockchains. Multi-currency wallets may be broken down into 3 categories: software, hardware, and paper. Software wallets are web, mobile and desktop. Growing penetration of blockchain in many industries makes one to understand wallets in detail. There are a variety of wallet kinds to pick out from. This paper focuses on multi-currency wallets review exploring on features like supported currencies, anonymity, cost, platform support, key management, wallet recovery methods and fiat currencies supported.","PeriodicalId":310458,"journal":{"name":"2020 4th International Conference on Computer, Communication and Signal Processing (ICCCSP)","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131448645","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}
Pub Date : 2020-09-28DOI: 10.1109/ICCCSP49186.2020.9315198
Nadeem Akram N, V. Ilango, G. Thiyagarajan
In this day and age, ongoing business arrangements request an effective way to deal with address complex situations and address security dangers. This has offered path to the blockchain structure which guarantees information security and equal access to information vault by all partners contrasted with the customary procedure. The Blockchain can possibly adequately addresses the present issues looked by the rural division utilizing an incorporated circulated organize. Blockchain is utilized to guarantee any exchange done either in item or administration applications are made sure about and put away in an archive that can be gotten to by nearly anybody. Blockchain can manage the issues winning in the horticulture part calm. The present paper proposed to comprehend the issues winning in the horticulture segment and how innovation can be utilized to take care of the issue in the general cultivating process utilizing a unified circulated organize worldview BLOCKCHAIN.
{"title":"Secure Agritech Farming Using Staging Level Blockchaining and Transaction Access Control Using Micro QR Code","authors":"Nadeem Akram N, V. Ilango, G. Thiyagarajan","doi":"10.1109/ICCCSP49186.2020.9315198","DOIUrl":"https://doi.org/10.1109/ICCCSP49186.2020.9315198","url":null,"abstract":"In this day and age, ongoing business arrangements request an effective way to deal with address complex situations and address security dangers. This has offered path to the blockchain structure which guarantees information security and equal access to information vault by all partners contrasted with the customary procedure. The Blockchain can possibly adequately addresses the present issues looked by the rural division utilizing an incorporated circulated organize. Blockchain is utilized to guarantee any exchange done either in item or administration applications are made sure about and put away in an archive that can be gotten to by nearly anybody. Blockchain can manage the issues winning in the horticulture part calm. The present paper proposed to comprehend the issues winning in the horticulture segment and how innovation can be utilized to take care of the issue in the general cultivating process utilizing a unified circulated organize worldview BLOCKCHAIN.","PeriodicalId":310458,"journal":{"name":"2020 4th International Conference on Computer, Communication and Signal Processing (ICCCSP)","volume":"157 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114361252","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}
Pub Date : 2020-09-28DOI: 10.1109/ICCCSP49186.2020.9315254
A. Kumar, K. Aditya, S. A. Joseph Raj, V. Nandhakumar
Web is growing apace in mining concerns using depression detection method form sources such as news, blogs and which also includes product reviews considering the earlier cases the responses given are quite difficult to determine. A technique using Natural Language Processing and Optical Character Recognition. Our experiments are to include that an entity scores that are determined using are statistically different from any other approaches and the quality of the approach is completely independent from any other approaches and scores can be determined reports can be provided for health subscription. Many researchers have demonstrated that by user generated content in a context is a method to determining people’s mental health levels. The research is to find out the SNS by user post, which helps in classifying the mental health levels of the user. Keywords—UGC-User generated content or user-created content, Optical Characteristic Recognition, Natural Language Processing.
通过新闻、博客和产品评论等来源的抑郁检测方法，网络在挖掘关注方面发展迅速，考虑到早期的案例，所给出的回应很难确定。利用自然语言处理和光学字符识别技术。我们的实验将包括使用统计方法确定的实体分数与任何其他方法不同，该方法的质量完全独立于任何其他方法，并且可以确定分数，报告可以提供健康订阅。许多研究人员已经证明，通过用户在特定环境中生成的内容是确定人们心理健康水平的一种方法。本研究的目的是通过用户的帖子来发现社交网站，这有助于对用户的心理健康水平进行分类。关键词- ugc -用户生成内容或用户创建内容，光学特征识别，自然语言处理
{"title":"Depression Detection Using Optical Characteristic Recognition and Natural Language Processing in SNS","authors":"A. Kumar, K. Aditya, S. A. Joseph Raj, V. Nandhakumar","doi":"10.1109/ICCCSP49186.2020.9315254","DOIUrl":"https://doi.org/10.1109/ICCCSP49186.2020.9315254","url":null,"abstract":"Web is growing apace in mining concerns using depression detection method form sources such as news, blogs and which also includes product reviews considering the earlier cases the responses given are quite difficult to determine. A technique using Natural Language Processing and Optical Character Recognition. Our experiments are to include that an entity scores that are determined using are statistically different from any other approaches and the quality of the approach is completely independent from any other approaches and scores can be determined reports can be provided for health subscription. Many researchers have demonstrated that by user generated content in a context is a method to determining people’s mental health levels. The research is to find out the SNS by user post, which helps in classifying the mental health levels of the user. Keywords—UGC-User generated content or user-created content, Optical Characteristic Recognition, Natural Language Processing.","PeriodicalId":310458,"journal":{"name":"2020 4th International Conference on Computer, Communication and Signal Processing (ICCCSP)","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124879203","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}
Pub Date : 2020-09-28DOI: 10.1109/ICCCSP49186.2020.9315283
R. Shree, G. Santhiya, R. Bhargavi
Air pollution is one of the major threats to human health and environment. When some substances in the atmosphere exceed a certain concentration it becomes harmful to the ecological system and the normal conditions of human existence. Particulate matter (PM) refers to small solid or liquid particles floating in the air. These small particles can move deeper into the respiratory tract, including the lungs this can lead to cough, asthma attacks, high blood pressure, heart attack, stroke and so on. Particulate matter is considered as the air pollutant of greatest concern to health. So as a first step to understand the seriousness of the issue is to monitor PM concentration. For the spatial hazard modeling of PM10 productive machine learning models such as Mixture Discriminant Analysis (MDA), Bagged Classification and Regression Trees (Bagged CART), Random Forest (RF), with accuracy 0.87, 0.92 and 0.93 respectively are used. However, these models cannot give accurate results with large samples and to overcome this eXtreme Gradient Boosting (XGBoost) method is used.
{"title":"Assessment Of Spatial Hazard And Impact Of PM10 Using Machine Learning","authors":"R. Shree, G. Santhiya, R. Bhargavi","doi":"10.1109/ICCCSP49186.2020.9315283","DOIUrl":"https://doi.org/10.1109/ICCCSP49186.2020.9315283","url":null,"abstract":"Air pollution is one of the major threats to human health and environment. When some substances in the atmosphere exceed a certain concentration it becomes harmful to the ecological system and the normal conditions of human existence. Particulate matter (PM) refers to small solid or liquid particles floating in the air. These small particles can move deeper into the respiratory tract, including the lungs this can lead to cough, asthma attacks, high blood pressure, heart attack, stroke and so on. Particulate matter is considered as the air pollutant of greatest concern to health. So as a first step to understand the seriousness of the issue is to monitor PM concentration. For the spatial hazard modeling of PM10 productive machine learning models such as Mixture Discriminant Analysis (MDA), Bagged Classification and Regression Trees (Bagged CART), Random Forest (RF), with accuracy 0.87, 0.92 and 0.93 respectively are used. However, these models cannot give accurate results with large samples and to overcome this eXtreme Gradient Boosting (XGBoost) method is used.","PeriodicalId":310458,"journal":{"name":"2020 4th International Conference on Computer, Communication and Signal Processing (ICCCSP)","volume":"T156 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125656443","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}
Pub Date : 2020-09-28DOI: 10.1109/ICCCSP49186.2020.9315267
Adhish Deshpande, R. Pandharkar, Subodh Deolekar
Good speeches can have relevance for several decades or centuries and have the potential to impact people's minds and hearts forever. A good speech is centered around its substance, but how it is delivered is what makes a great speech. The aim of this project is to introduce a web-based platform to analyze, understand and improve elocution skills to help people deliver effective speeches, presentations or to improve business communications. We make use of various values and graphs of vocal elements related to speech delivery for a more visual and quantitative method of learning speech. Our framework uses free to use and open source products from the speech technology domain. It is tested and tailored for the English-speaking population of India. We aim to cater to the requirement of a convenient and user-friendly product that can be used to practice speech delivery, improve oratory skills, boost confidence, and deliver articulate speeches.
{"title":"Speech Coach: A framework to evaluate and improve speech delivery","authors":"Adhish Deshpande, R. Pandharkar, Subodh Deolekar","doi":"10.1109/ICCCSP49186.2020.9315267","DOIUrl":"https://doi.org/10.1109/ICCCSP49186.2020.9315267","url":null,"abstract":"Good speeches can have relevance for several decades or centuries and have the potential to impact people's minds and hearts forever. A good speech is centered around its substance, but how it is delivered is what makes a great speech. The aim of this project is to introduce a web-based platform to analyze, understand and improve elocution skills to help people deliver effective speeches, presentations or to improve business communications. We make use of various values and graphs of vocal elements related to speech delivery for a more visual and quantitative method of learning speech. Our framework uses free to use and open source products from the speech technology domain. It is tested and tailored for the English-speaking population of India. We aim to cater to the requirement of a convenient and user-friendly product that can be used to practice speech delivery, improve oratory skills, boost confidence, and deliver articulate speeches.","PeriodicalId":310458,"journal":{"name":"2020 4th International Conference on Computer, Communication and Signal Processing (ICCCSP)","volume":"58 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126363947","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}
Pub Date : 2020-09-28DOI: 10.1109/ICCCSP49186.2020.9315201
Himanshu Nigam, A. Karmakar, A. Saini
Structural Health Monitoring (SHM) is concern with the safety of building which relies on sensor that can be strategically placed in building to monitor and record structural data. Wireless Sensor Network (WSN) is one of the supporting and attractive sensing technologies for SHM as it gives accurate, reliable, and healthier information to the users. In this paper, WSN communication is applied to monitor temperature, humidity, and structural parameter which includes vibration, force, and the sensor data stored in MySQL database. These stored data are visualized on dashboard. The original problem of SHM is to find the building damaged by monitoring the measured data and to reduce the cost without compromising the demand of safety.
结构健康监测(Structural Health Monitoring, SHM)是一种关注建筑物安全的技术，它依靠传感器来监测和记录建筑物的结构数据。无线传感器网络(WSN)能够向用户提供准确、可靠、健康的信息，是支撑SHM的传感技术之一。本文将WSN通信应用于温度、湿度和结构参数的监测，其中包括振动、力，传感器数据存储在MySQL数据库中。这些存储的数据显示在仪表板上。SHM的原始问题是通过监测实测数据来发现建筑物的损坏情况，并在不影响安全要求的情况下降低成本。
{"title":"Wireless Sensor Network Based Structural Health Monitoring for Multistory Building","authors":"Himanshu Nigam, A. Karmakar, A. Saini","doi":"10.1109/ICCCSP49186.2020.9315201","DOIUrl":"https://doi.org/10.1109/ICCCSP49186.2020.9315201","url":null,"abstract":"Structural Health Monitoring (SHM) is concern with the safety of building which relies on sensor that can be strategically placed in building to monitor and record structural data. Wireless Sensor Network (WSN) is one of the supporting and attractive sensing technologies for SHM as it gives accurate, reliable, and healthier information to the users. In this paper, WSN communication is applied to monitor temperature, humidity, and structural parameter which includes vibration, force, and the sensor data stored in MySQL database. These stored data are visualized on dashboard. The original problem of SHM is to find the building damaged by monitoring the measured data and to reduce the cost without compromising the demand of safety.","PeriodicalId":310458,"journal":{"name":"2020 4th International Conference on Computer, Communication and Signal Processing (ICCCSP)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114505696","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}
Pub Date : 2020-09-28DOI: 10.1109/ICCCSP49186.2020.9315269
R. Emani, P. Telagathoti, P. N
One of the limiting factors of performance of any communication system is bandwidth. In telephone systems, the operational voice frequency ranges from 300 to 3400 Hz and is called Narrow Band (NB). This NB causes remarkable depreciation of speech in terms of quality and intelligibility, specifically for elderly persons. Speech Bandwidth Extension (SBE) technique is used to increase the quality and intelligibility of NB signal. In SBE method, additional data about the lost speech frequency components is transmitted along with NB signal. A better-quality Wide Band (WB) signal is reconstructed at the receiver end using the transmitted missing speech frequency components. This paper explores the ability of SBE to enhance the quality and intelligibility of NB signal for elderly persons. The enhancement in the quality and intelligibility of NB speech for elderly persons is reasserted by subjective listening and objective tests.
{"title":"Telephony Speech Enhancement for Elderly People","authors":"R. Emani, P. Telagathoti, P. N","doi":"10.1109/ICCCSP49186.2020.9315269","DOIUrl":"https://doi.org/10.1109/ICCCSP49186.2020.9315269","url":null,"abstract":"One of the limiting factors of performance of any communication system is bandwidth. In telephone systems, the operational voice frequency ranges from 300 to 3400 Hz and is called Narrow Band (NB). This NB causes remarkable depreciation of speech in terms of quality and intelligibility, specifically for elderly persons. Speech Bandwidth Extension (SBE) technique is used to increase the quality and intelligibility of NB signal. In SBE method, additional data about the lost speech frequency components is transmitted along with NB signal. A better-quality Wide Band (WB) signal is reconstructed at the receiver end using the transmitted missing speech frequency components. This paper explores the ability of SBE to enhance the quality and intelligibility of NB signal for elderly persons. The enhancement in the quality and intelligibility of NB speech for elderly persons is reasserted by subjective listening and objective tests.","PeriodicalId":310458,"journal":{"name":"2020 4th International Conference on Computer, Communication and Signal Processing (ICCCSP)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117048320","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}
Pub Date : 2020-09-28DOI: 10.1109/ICCCSP49186.2020.9315211
S. Kavitha, S. Poornima, N. Sitara, A. Sarada Devi
Intelligent systems are emerging rapidly to mimic the learning capability of human brain. These systems are developed to learn, adapt, act and make decisions autonomously based on the problem, commonly named as Computer Aided Disease Diagnosis (CAD). In this research paper, a CAD system is developed and analyzed for Tuberculosis (TB) disease types using non parametric (Support Vector Machine) and deep neural network (Convolutional Neural Network) learning techniques. The proposed algorithms are evaluated for 3D Computed Tomography (CT) images of ImageCLEF 2018 Tuberculosis using appropriate quantitative metrics. From the results, it has been inferred that CNN has resulted 7% improved accuracy than kernel based SVM classification.
{"title":"Classification of Lung Tuberculosis using Non Parametric and Deep Neural Network Techniques","authors":"S. Kavitha, S. Poornima, N. Sitara, A. Sarada Devi","doi":"10.1109/ICCCSP49186.2020.9315211","DOIUrl":"https://doi.org/10.1109/ICCCSP49186.2020.9315211","url":null,"abstract":"Intelligent systems are emerging rapidly to mimic the learning capability of human brain. These systems are developed to learn, adapt, act and make decisions autonomously based on the problem, commonly named as Computer Aided Disease Diagnosis (CAD). In this research paper, a CAD system is developed and analyzed for Tuberculosis (TB) disease types using non parametric (Support Vector Machine) and deep neural network (Convolutional Neural Network) learning techniques. The proposed algorithms are evaluated for 3D Computed Tomography (CT) images of ImageCLEF 2018 Tuberculosis using appropriate quantitative metrics. From the results, it has been inferred that CNN has resulted 7% improved accuracy than kernel based SVM classification.","PeriodicalId":310458,"journal":{"name":"2020 4th International Conference on Computer, Communication and Signal Processing (ICCCSP)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126050402","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}
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