2020 International Conference on Communication, Computing and Industry 4.0 (C2I4)最新文献

{"title":"Sparse Channel Estimation for MIMO Index Modulated OFDM Based Underwater Acoustic Communications","authors":"Mhd Tahssin Altabbaa","doi":"10.1109/C2I451079.2020.9368920","DOIUrl":"https://doi.org/10.1109/C2I451079.2020.9368920","url":null,"abstract":"This paper presents a novel channel estimation algorithm for pilot aided MIMO-OFDM-IM underwater acoustic communications. The receiver employs the least squares technique for the initial channel coefficients estimation. Then, using the ESPRIT algorithm, the delays of the most significant taps are estimated. The initial estimated values are then inputted to the proposed focusing algorithm. This algorithm utilizes two one-dimensional continuous focusing functions for channel coefficients' estimation. Opposed to most algorithms in literature, the proposed focusing algorithm does not require an oversampling factor as in dictionary-based algorithms nor a learning parameter as in basis pursuit-based algorithms. Finally, for each branch of the MIMO receiver, the estimated channel coefficients are used for active subcarriers detection in each OFDM-IM chunk using the maximum likelihood detector. The performance of the proposed receiver is presented in terms of average mean square error and symbol error rate using synthetic underwater acoustic channels generated using VirTEX acoustic toolbox.","PeriodicalId":354259,"journal":{"name":"2020 International Conference on Communication, Computing and Industry 4.0 (C2I4)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126655326","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}

{"title":"Tumor parameter estimation by steady-state and transient thermal analysis of semi-circular breast model with four density compositions","authors":"D. Singh, A. Singh","doi":"10.1109/C2I451079.2020.9368960","DOIUrl":"https://doi.org/10.1109/C2I451079.2020.9368960","url":null,"abstract":"Breast thermography is an adjunct screening tool to mammography in early cancer detection due to its non-invasiveness. The sensitivity of static and dynamic thermography for different breast compositions can be improved by performing Pennes' Bioheat Transfer based simulation. This study shows the effectiveness of numerical simulation in measuring the thermal profile of small-sized and deep tumors in the 2D breast model. Thickness/Dimensions in six tissue layers are inversely calculated for four density compositions, extremely dense (ED), heterogeneously dense (HD), scattered fibro glandular (SF) and predominantly fatty (PF). Steady state and transient studies are performed by varying tumor depth and radius of tumor from 20 mm to 60 mm and 2.5mm to 7.5 mm, respectively. Simulation results show that breast densities play a crucial role in static and dynamic thermography based cancer diagnosis. Transient analysis is performed by measuring surface temperature distribution during cooling and thermal recovery as a function of time.","PeriodicalId":354259,"journal":{"name":"2020 International Conference on Communication, Computing and Industry 4.0 (C2I4)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127226848","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}

{"title":"A Study of Segmentation Techniques to Detect Leukaemia in Microscopic Blood Smear Images","authors":"Ashwini P. Patil","doi":"10.1109/C2I451079.2020.9368928","DOIUrl":"https://doi.org/10.1109/C2I451079.2020.9368928","url":null,"abstract":"In medical image processing, the segmentation of the image is considered to be a vital stage and is effectively used to extract the region of interest. Automated diagnosis of leukaemia is highly associated with the accurate segmentation of the cell nucleus. The purpose of this paper is to review and analyze literature related to some of the major segmentation techniques used in the field of Acute lymphoblastic leukaemia (ALL) detection. This paper presents an overview of segmentation methods along with the experimental results of six implemented methods and highlights some of the advantages and disadvantages of implemented segmentation techniques.","PeriodicalId":354259,"journal":{"name":"2020 International Conference on Communication, Computing and Industry 4.0 (C2I4)","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122297127","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}

{"title":"Analysis of SWIPT Receiver","authors":"S. K. Rout, Gagarin Biswal, H. Sahu, Pradeep Minz","doi":"10.1109/C2I451079.2020.9368895","DOIUrl":"https://doi.org/10.1109/C2I451079.2020.9368895","url":null,"abstract":"In this paper an efficient way of information transmission and energy harvesting in a wireless communication is studied. The objective is to maximize the information rate under efficient utilization of transmitted power. To maximize the information rate versus energy harvesting different schemes like time switching (TS), power splitting (PS) for separated and integrated receiver are evaluated by rate-energy diagram. Effects of noise in the R-E region is analyzed. Simulation of R-E tradeoff for separated receiver using practical modulation QAM and single input multiple output(SIMO) system in a simultaneous wireless information and power transfer(SWIPT) over fading channel is investigated. Without the knowledge of channel gain distribution and knowing the mean and covariance matrix of the channel, robust outage capacity is defined and that can be applicable to any channel distribution. The trade-off between robust outage capacity and harvested energy is carried out for different fading channels (Nakagami-m, $kappa-mu$ and $eta-mu$). Rate-energy tradeoff of power splitting scheme(PS) performs better compared to time switching(TS) scheme.","PeriodicalId":354259,"journal":{"name":"2020 International Conference on Communication, Computing and Industry 4.0 (C2I4)","volume":"81 4","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120848575","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}

{"title":"A Printed Array of High-gain Fractal Antennas for X-band Applications","authors":"K. Kola, A. Chatterjee","doi":"10.1109/C2I451079.2020.9368946","DOIUrl":"https://doi.org/10.1109/C2I451079.2020.9368946","url":null,"abstract":"A $1times 2$ printed linear array of microstrip fractal antennas has been reported in this article. The proposed single element antenna is designed to operate in X-band with the center frequency ($f_{r}$) of 10.00 GHz. The proposed structure is obtained by etching the Minkowski boxes in all the four corners of a square geometry. In the next step, a 50% scaling factor is applied to each Minkowski square boxes of the resultant geometry. Further, the four-folded and centrosymmetric structure has been proposed to achieve symmetric radiation pattern in a particular direction. A two-element linear array with Wilkinson equal power divider has been designed to obtain more improved parametric results for the application of wireless communication in X-band. The single element and the array maintains a gain of 11.46 and 14.24 dBi respectively. Both antenna gives a low cross-polarization level of −46.35 and −39.58 dB respectively without tampering the ground plane i.e., the novelty of the proposed design. The radiation efficiency, the computed aperture efficiency, and the front-to-back ratio (FBR) of the structures are quite acceptable for X-band wireless communication.","PeriodicalId":354259,"journal":{"name":"2020 International Conference on Communication, Computing and Industry 4.0 (C2I4)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126338853","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}

{"title":"About the Conference","authors":"","doi":"10.1109/c2i451079.2020.9368938","DOIUrl":"https://doi.org/10.1109/c2i451079.2020.9368938","url":null,"abstract":"","PeriodicalId":354259,"journal":{"name":"2020 International Conference on Communication, Computing and Industry 4.0 (C2I4)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115869385","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}

{"title":"Constraint Governed Association Rule Mining for Identification of Strong SNPs to Classify Autism Data","authors":"U. M, P. Rajashekar","doi":"10.1109/C2I451079.2020.9368948","DOIUrl":"https://doi.org/10.1109/C2I451079.2020.9368948","url":null,"abstract":"Autism is a heterogeneous neuro developmental disorder found among all age groups. Nowadays more patients are detected with autism but very less awareness is prevailing in the society related to it. This paved a way for many researchers to carry out serious study on autism and its characteristics. Studying behavior and characteristics of Autistic patients is very important for diagnosing the level of autism. Classifying the association of different characteristic in autistic patients at gene level using machine learning techniques can give an important insight to the doctors and the care takers of the patients. Research is being carried out to identify the genes responsible for autism. The changes in gene sequence may lead to different characteristics in different people. Thus genotypic research is found to reveal well defined insight about various characteristics in autistic patients and their associations with genes. Single Nucleotide Polymorphism (SNP) being high in features indicate human genome variability and is associated with identification of traits for many human diseases including autism. The main aim of the proposed work is to identify SNP sequences which are responsible for carrying the autistic traits. This paper explore the application of Constraint Governed Association Rule Mining (CGARM) technique on SNP data for dimensionality reduction and thereby selecting the strong predominant SNP features which are relevant enough to accomplish classification with high accuracy. The research work incorporates the application of CGARM and is carried out in two stages. In the first stage CGARM was used to choose significant SNP features resulting in dimensionality reduction. In the second stage classification was carried out by subjecting the selected features to Artificial Neural Network (ANN) algorithm. The main advantage of the proposed work is its ability to reduce the dimensions without compromising the quality i.e. using CGARM strong SNPs were selected by applying various constraints like Syntactical constraints, Semantical constraints and Dimensionality Constraints resulting in higher accuracy. The CGARM technique is applied on Autism data collected from National Center for Biotechnology Information (NCBI) repository. The data is divided into a set of 118 features, out of 118 features CGARM contributed in identifying 22 predominant SNPs. Further by applying forward selection method top 17 features were selected and were given as input to ANN. The 10 fold cross validation resulted in 76.9% accuracy which was found to be 50% more than that of original features. The proposed work contributed in reducing the dimension by 85% and provided 76.9% accuracy with the help of only 15% features.","PeriodicalId":354259,"journal":{"name":"2020 International Conference on Communication, Computing and Industry 4.0 (C2I4)","volume":"234 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133361324","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}

{"title":"Proceedings of the 2020 IEEE International Conference on International Conference on Communication, Computing and Industry 4.0 (C2I4)","authors":"","doi":"10.1109/c2i451079.2020.9368955","DOIUrl":"https://doi.org/10.1109/c2i451079.2020.9368955","url":null,"abstract":"","PeriodicalId":354259,"journal":{"name":"2020 International Conference on Communication, Computing and Industry 4.0 (C2I4)","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122999473","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}

{"title":"Carrying Capacity Based Air Quality Management at an Industrial area","authors":"S. Panda","doi":"10.1109/C2I451079.2020.9368896","DOIUrl":"https://doi.org/10.1109/C2I451079.2020.9368896","url":null,"abstract":"India is witnessing a rapid industrial and urban development. Over the last two decades the number of critically polluted industrial areas was radically expanded and pollutant concentrations were reported several folds higher than the recommended standards. In this regard, an effective air quality management is highly useful to abate air pollution. In the present study, a different approach of quantification of carrying capacity (i.e. upper limit of emissions a region can take without infringing permitted pollutant standards) was utilized for air quality management at Manali industrial area (Chennai, Tamil Nadu). Manali is a severely polluted industrial cluster dominated by refineries and petrochemical industries. Carrying capacity was quantified by 3 approaches namely i) qualitative approach utilizing micro meteorological parameters, ii) atmospheric flow conditions utilizing stagnation, ventilation and recirculation events and iii) quantitative approach using AERMOD dispersion model utilizing emissions and meteorological parameters. In order to know the most preferable conditions of industrial operations, temporal carrying capacity analysis was performed that corresponded to critical, high, medium and low pollution levels. Bottom up approach was utilized to prepare the inventory of sulfur dioxide (SO2), nitrogen dioxide (NO2) and particulate matter (PM10) emissions at a fine resolution in Manali. Results showed the amount of SO2, NO2and PM10emitted to the environment was 22, 7.8 and 7.1 tonnes/day respectively. The carrying capacity of the region with respect to SO2was estimated to be 16.05 tonnes/day, NO2was 17.36 tonnes/day, and PM10was 19.78 tonnes/day. Temporal analysis of carrying capacity showed post-monsoon had the lowest emission carrying limit, trailed by winter, summer, and monsoon seasons. The carrying capacity of SO2during post-monsoon and winter seasons was estimated to be 35% and 26% lower, when compared to the monsoon season. Further, qualitative approach of carrying capacity indicated low carrying capacity at Manali during winter and post monsoon seasons.","PeriodicalId":354259,"journal":{"name":"2020 International Conference on Communication, Computing and Industry 4.0 (C2I4)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132072597","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}

{"title":"Message from the Conference Chair","authors":"Lee","doi":"10.1109/icmimt.2019.8712011","DOIUrl":"https://doi.org/10.1109/icmimt.2019.8712011","url":null,"abstract":"After decades of research on AI in education, we have solved some problems and are facing new challenges. Precision education is one of the new challenges of applying artificial intelligence, machine learning, and learning analytics for adaptive and individualized learning in a context-aware ubiquitous learning environment. The goal of Precision education is to identify at-risk students as early as possible and provide timely intervention based on student learning experiences. In this research, at-risk students are confined to students who were diagnosed could get low GPA (low academic performance), could drop/withdraw a course, or students who were low engagement in terms of learning behavior, emotion, and cognition. The idea of Precision education came from The Precision Medicine Initiative (https://obamawhitehouse.archives.gov/precision-medicine), which was proposed by President Obama in his 2015 State of the Union address, the Initiative is a new research effort to revolutionize the medical treatment of disease. As addressed in this Initiative, most treatments were designed for the average patients as a result of one-size-fits-all-approach without taking into account individual differences in people genes, environments, and lifestyles; similarly, most pedagogy is designed not fully consider students genes IQ, learning styles, learning environments, and learning strategies. Therefore, by carrying the research focus of Precision medicine, which is to improve the diagnosis, prediction, treatment, and prevention of disease, we define the new challenges of Precision education on emphasizing the improvement of diagnosis, prediction, treatment, and prevention of at-risk students. Biography: Dr. Stephen J.-H. Yang is the Chair Professor of Computer Science & Information Engineering, National Central University, Taiwan. Dr. Yang received the Outstanding Research Award from Ministry of Science; Technology (2010, 2017) and Distinguished Service Medal from Ministry of Education, Taiwan. (2015). Dr. Yang was the Director of Department of Information and Technology Education, Ministry of Education, Taiwan (2013~2014), during his two years of service in Taiwan government, Dr. Yang was responsible for the national information & technology education, he launched Taiwan national digital learning initiative which includes the construction of 100G Taiwan Academic Network for national network infrastructure, the construction of Education Cloud for national data infrastructure, and innovation programs such as Taiwan MOOCs, flipped classroom, mobile learning. Dr. Yang also served as the Convener of Information Education Discipline, Ministry of Science & Technology. Dr. Yang received his PhD degree in Electrical Engineering & Computer Science from the University of Illinois at Chicago in 1995. Dr. Yang has published over 70 SSCI/SCI journal papers. His research interests include Artificial Intelligence, Big Data, learning analytics, educational data mining, and MOOC","PeriodicalId":354259,"journal":{"name":"2020 International Conference on Communication, Computing and Industry 4.0 (C2I4)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130344861","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}