2020 International Conference on Futuristic Technologies in Control Systems & Renewable Energy (ICFCR)最新文献

Neural Network for Identification of Heat integrated Distillation Column 热集成精馏塔的神经网络识别

2020 International Conference on Futuristic Technologies in Control Systems & Renewable Energy (ICFCR) Pub Date : 2020-09-23 DOI: 10.1109/ICFCR50903.2020.9249964

Shahana P K, Abdul-Kareem Jaleel, P. N

{"title":"Neural Network for Identification of Heat integrated Distillation Column","authors":"Shahana P K, Abdul-Kareem Jaleel, P. N","doi":"10.1109/ICFCR50903.2020.9249964","DOIUrl":"https://doi.org/10.1109/ICFCR50903.2020.9249964","url":null,"abstract":"The heat integrated distillation column (HIDC), one of the most advantageous energy saving technique for separation of two liquids with distinct boiling point. The dynamic and nonlinear nature of distillation column make it a challenging problem for control engineers. Artificial neural network (ANN) is used for the nonlinear identification of HIDC. The nonlinear autoregressive network with exogenous input (NARX) model is also created to map the dynamic nature. Chemical process simulator Aspen HYSYS software is used to obtain realistic model of column and also for data sets. The mole fraction of top composition (benzene) and mole fraction of bottom composition (toluene) are taken as output variables, reflux rate and tray15 temperature are the input variables. Of 2000 samples collected from HYSIS, 1500 samples used for training the network and remaining for validation of the model. This will guarantee accuracy and robustness. The performance of both (back propagation) BP-ANN and NARX-BP-ANN are compared. The regression coefficient and root mean square error (rmse) of models with 12 different algorithms and different hidden layers calculated.","PeriodicalId":165947,"journal":{"name":"2020 International Conference on Futuristic Technologies in Control Systems & Renewable Energy (ICFCR)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123708795","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 And Development Of Robot For Rescue Operations For Bore-Well Victims 井眼伤者救援机器人的设计与研制

2020 International Conference on Futuristic Technologies in Control Systems & Renewable Energy (ICFCR) Pub Date : 2020-09-23 DOI: 10.1109/ICFCR50903.2020.9249982

Akash B, Kanisha K, Saumya Ranjan, M. Jayakumar

引用次数: 4

Novel Methodology in Rice Farming using Futuristic Technologies 使用未来技术的水稻种植新方法

2020 International Conference on Futuristic Technologies in Control Systems & Renewable Energy (ICFCR) Pub Date : 2020-09-23 DOI: 10.1109/ICFCR50903.2020.9249990

Moossa P. P, Afsal K. V, N. K, Sajina M K, A. Mansoor

引用次数: 0

Wavelet based detection of epileptic seizures using scalp EEG 基于小波的头皮脑电图癫痫发作检测

2020 International Conference on Futuristic Technologies in Control Systems & Renewable Energy (ICFCR) Pub Date : 2020-09-23 DOI: 10.1109/ICFCR50903.2020.9249989

T. Fathima, Rahna P, Thanweer Gaffoor

引用次数: 2

Visualization of Diffusion Tensor Imaging (DTI) for Schizophrenia Diagnosis 扩散张量成像(DTI)在精神分裂症诊断中的可视化应用

2020 International Conference on Futuristic Technologies in Control Systems & Renewable Energy (ICFCR) Pub Date : 2020-09-23 DOI: 10.1109/ICFCR50903.2020.9249998

Anzer M Muhammed, A. V., E. K

{"title":"Visualization of Diffusion Tensor Imaging (DTI) for Schizophrenia Diagnosis","authors":"Anzer M Muhammed, A. V., E. K","doi":"10.1109/ICFCR50903.2020.9249998","DOIUrl":"https://doi.org/10.1109/ICFCR50903.2020.9249998","url":null,"abstract":"Diffusion Tensor Imaging (DTI) is an advanced medical imaging technology over Magnetic Resonance Imaging (MRI). A newly introduced methodology should have certain advantages over the existing one. DTI differs from MRI on region of scanning, dimension of scanning and in the mode of acquisition. MRI scans Grey Matter (GM) while DTI scans the White Matter (WM) portion of the human brain. DTI gives out an multi-dimensional image of the human organs while MRI gives out an two-dimensional view of the human organs. Recent researches have proved the role of DTI in determining various neurological disorders and psychiatric disorders. Fiber disappearance and deorganisation can be detected using Fiber Tractography. Brain tumor, Parkinson, and Schizophrenia like neurological disorders and diseases exhibit a huge variation in the fiber pattern alignment in the human brain. Schizophrenia is an mental illness caused due to excessive deposition of chemical contents like dopamine and serotonin in different portions of human brain like Subtantia Nigra, Hippo campus. The schizophrenic brain is visualized using whole brain tractography as the serotonin and dopamine exhibits a huge pathway. Whole brain Tractography helped in comparison of schizophrenic and normal cohort concluding the dominance of Fiber Tractography over Tensor Glyph.","PeriodicalId":165947,"journal":{"name":"2020 International Conference on Futuristic Technologies in Control Systems & Renewable Energy (ICFCR)","volume":"174 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132070118","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 Voltage Multiplier based Non Isolated High Gain DC-DC Converter for DC Bus Application 基于电压乘法器的直流母线非隔离高增益DC-DC变换器

2020 International Conference on Futuristic Technologies in Control Systems & Renewable Energy (ICFCR) Pub Date : 2020-09-23 DOI: 10.1109/ICFCR50903.2020.9249974

Sivaprasad Athikkal, K. Sehgal, U. Mohan, A. Singh

引用次数: 8

Pilot Assisted Channel Assessment for MIMO-OFDM over Dispersive Fading Channels 频散衰落信道上MIMO-OFDM的导频辅助信道评估

2020 International Conference on Futuristic Technologies in Control Systems & Renewable Energy (ICFCR) Pub Date : 2020-09-23 DOI: 10.1109/ICFCR50903.2020.9249971

J. Jose, Anu K Kuriakose

引用次数: 0

An Enhanced P and O Algorithm for Maximum Power Point Tracking 一种改进的P和O算法用于最大功率点跟踪

2020 International Conference on Futuristic Technologies in Control Systems & Renewable Energy (ICFCR) Pub Date : 2020-09-23 DOI: 10.1109/ICFCR50903.2020.9249985

Karthika S, Meera Asok, Meera G. Mohan, R. Hima, J. Das, A. C

{"title":"An Enhanced P and O Algorithm for Maximum Power Point Tracking","authors":"Karthika S, Meera Asok, Meera G. Mohan, R. Hima, J. Das, A. C","doi":"10.1109/ICFCR50903.2020.9249985","DOIUrl":"https://doi.org/10.1109/ICFCR50903.2020.9249985","url":null,"abstract":"Solar photovoltaic (PV) technology was introduced by various PV markets globally by replacing the conventional energy resources. However, the efficiency continues to be an enormous challenge for researchers in PV industry. The solar trackers and MPP (maximum power point) algorithms are implemented with PV modules for performance enhancement. This paper introduces the solar tracker with an improved P & O (Perturb and Observe) algorithm for standalone solar PV system. The modified P&O algorithm restricts the power curve search space to a region of 20 percent containing maximum power point (MPP) and begins perturbation and observation within the small search area. Solar tracker ensures that the solar module is accessible continuously and with optimal irradiance throughout the sun's path during the day. Confinement of the search space of the algorithm reduces the response time to the varying climatic conditions, which in effect reduces the steady-state oscillations at the MPP in return. The proposed program was verified experimentally, the findings of which confirmed the efficacy of the proposed P&O algorithm.","PeriodicalId":165947,"journal":{"name":"2020 International Conference on Futuristic Technologies in Control Systems & Renewable Energy (ICFCR)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133316685","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

Visualization of Diffusion Tensor Imaging (DTI) For Brain Tumor Diagnosis 扩散张量成像(DTI)在脑肿瘤诊断中的可视化应用

2020 International Conference on Futuristic Technologies in Control Systems & Renewable Energy (ICFCR) Pub Date : 2020-09-23 DOI: 10.1109/ICFCR50903.2020.9249967

A. V., Anzer M Muhammed, Bijoy K Edet

{"title":"Visualization of Diffusion Tensor Imaging (DTI) For Brain Tumor Diagnosis","authors":"A. V., Anzer M Muhammed, Bijoy K Edet","doi":"10.1109/ICFCR50903.2020.9249967","DOIUrl":"https://doi.org/10.1109/ICFCR50903.2020.9249967","url":null,"abstract":"Magnetic Resonance Imaging (MRI) technique is very useful for brain tumor diagnosis. However MRI could not find the integrity and location of white matter tracts around the brain tumors. Diffusion Tensor Imaging (DTI) is an emerging technology that gives information about orientation of nervous fiber, anisotropy and their spatial density, with high resolution. DTI is a noninvasive technique, performed by tracking the diffusion of water molecules through brain tissues. Three different visualization techniques of DTI namely scalar indices, tensor glyph, and tractography were used for brain tumor diagnosis and their main characteristics and drawbacks were compared. These analyses were helpful for determining the exact location of brain tumor and the changes in the white matter bundle in affected area. The variation of white matter structure due to brain tumor is analyzed using these three visualization techniques. Parameters influencing the white matter structure were tuned in each technique, which gives more accurate results than the previous studies. The cystic and the solid part of the tumor were accurately located based on the anisotropic and diffusivity parameters. The two different types of white matter pattern are obtained in affected area by extracting the corpus callosum and cingulum bundle.","PeriodicalId":165947,"journal":{"name":"2020 International Conference on Futuristic Technologies in Control Systems & Renewable Energy (ICFCR)","volume":"86 4","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114039479","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

Patient Identification using Facial Recognition 使用面部识别进行患者识别

2020 International Conference on Futuristic Technologies in Control Systems & Renewable Energy (ICFCR) Pub Date : 2020-09-23 DOI: 10.1109/ICFCR50903.2020.9250002

V. Verma, Vanika Kansal, P. Bhatnagar

{"title":"Patient Identification using Facial Recognition","authors":"V. Verma, Vanika Kansal, P. Bhatnagar","doi":"10.1109/ICFCR50903.2020.9250002","DOIUrl":"https://doi.org/10.1109/ICFCR50903.2020.9250002","url":null,"abstract":"The medical history of patients and previous meetings to a doctor have been traditionally recorded and maintained using paper and pen. This research is done with an aim to throw some light on the field of Computer Vision that can potentially revolutionise the way that prescriptions are given to patients since ages. In this paper, an implementable idea of using the advanced Computer Vision Technology to eliminate printed prescriptions and physical components like RFID, Record Files has been proposed. The results of having a Universal Medical Face Identification for every patient have been properly showcased that take several factors into consideration like reducing the inefficiency, amount of time taken at reception and efforts of medical staff in recognising a patient and drawing out subtleties of the patient's medical history, previous visits to the specialist, and prescriptions. A database linked to the patient's face image can be deployed on a secure platform that can be updated from time to time and will be universally considered as the basis of the identity of patients available to the doctors at all certified medical centres for studying and taking immediate action. Facial recognition can be utilized in hospitals for staff and patient tracking efficiently and practically faster than the current record based approach. Finally, the comparison of wait time and technical challenges of current methods, implementation and privacy are highlighted.","PeriodicalId":165947,"journal":{"name":"2020 International Conference on Futuristic Technologies in Control Systems & Renewable Energy (ICFCR)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114165244","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