2019 10th International Conference on Computing, Communication and Networking Technologies (ICCCNT)最新文献_第4页

Implementation of Linear Structuring Element in OpenCV for Blood Vessel Segmentation from Color Fundus Images 基于OpenCV的线性结构元素在彩色眼底图像血管分割中的实现

2019 10th International Conference on Computing, Communication and Networking Technologies (ICCCNT) Pub Date : 2019-07-01 DOI: 10.1109/icccnt45670.2019.8944610

Shailesh Kumar, A. K. Srivastava, Abhijeet Jha, A. Adarsh, Rajeev Gupta, B. Kumar

引用次数: 0

Realization of fractional order differintegral on the digital platform using FPGA and its time and frequency domain analysis 用FPGA在数字平台上实现分数阶微分积分，并对其进行时域和频域分析

2019 10th International Conference on Computing, Communication and Networking Technologies (ICCCNT) Pub Date : 2019-07-01 DOI: 10.1109/icccnt45670.2019.8944828

Ruchi Jain

{"title":"Realization of fractional order differintegral on the digital platform using FPGA and its time and frequency domain analysis","authors":"Ruchi Jain","doi":"10.1109/icccnt45670.2019.8944828","DOIUrl":"https://doi.org/10.1109/icccnt45670.2019.8944828","url":null,"abstract":"This paper mainly focuses on the realization of the fractional operator on the digital platform. Discretization plays a key step for the practical realization of the fractional operator on hardware. Among the various available techniques of discretization, we have chosen a direct method of discretization using the Tustin operator and combined with the continued fraction expansion to get more effective discretized transfer function and realized the same on FPGA processor. Nowadays, in the domain of real-time applications in the digital world, FPGA emanated as the best alternative with the ability to perform multiple tasks simultaneously, highly flexible and reliable with simple design cycle, lower complexity, effective product cost, field reprogrammability, reusability, and reliability. In this paper, the designed module of the fractional operator in the form of fractional integrator and differentiator of order 0.5 is implemented on programmable logic design software Quartus II and verified on DEO Nano Board (Cyclone IV FPGA family of company Altera). The performance of hardware realized module is analyzed in frequency and time domain, and results are examined with its MATLAB counterpart.","PeriodicalId":438405,"journal":{"name":"2019 10th International Conference on Computing, Communication and Networking Technologies (ICCCNT)","volume":"140 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121257895","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

Lung Cancer Detection from Computed Tomography (CT) Scans using Convolutional Neural Network 利用卷积神经网络从计算机断层扫描(CT)检测肺癌

2019 10th International Conference on Computing, Communication and Networking Technologies (ICCCNT) Pub Date : 2019-07-01 DOI: 10.1109/icccnt45670.2019.8944824

M. B. Khumancha, Aarti Barai, C. Rao

引用次数: 11

Wormhole attack detection in ad hoc network using machine learning technique 基于机器学习技术的自组织网络虫洞攻击检测

2019 10th International Conference on Computing, Communication and Networking Technologies (ICCCNT) Pub Date : 2019-07-01 DOI: 10.1109/icccnt45670.2019.8944634

Mahendra Prasad, S. Tripathi, K. Dahal

引用次数: 12

A Survey on Wired, Wireless, and Internet of Things Routing Protocols 有线、无线和物联网路由协议综述

2019 10th International Conference on Computing, Communication and Networking Technologies (ICCCNT) Pub Date : 2019-07-01 DOI: 10.1109/icccnt45670.2019.8944834

S. Kamble, B. R. Chandavarkar

引用次数: 1

Plant Leaf Disease Detection using Machine Learning 利用机器学习进行植物叶片病害检测

2019 10th International Conference on Computing, Communication and Networking Technologies (ICCCNT) Pub Date : 2019-07-01 DOI: 10.1109/icccnt45670.2019.8944556

Amrita S. Tulshan, Nataasha Raul

引用次数: 65

Fast and Accurate Content Based Image Classification and Retrieval using Gaussian Hermite Moments applied to COIL 20 and COIL 100 基于高斯埃米特矩的快速准确图像分类与检索应用于COIL 20和COIL 100

2019 10th International Conference on Computing, Communication and Networking Technologies (ICCCNT) Pub Date : 2019-07-01 DOI: 10.1109/icccnt45670.2019.8944775

B. Mohan, T. Chaitanya, T. Tirupal

{"title":"Fast and Accurate Content Based Image Classification and Retrieval using Gaussian Hermite Moments applied to COIL 20 and COIL 100","authors":"B. Mohan, T. Chaitanya, T. Tirupal","doi":"10.1109/icccnt45670.2019.8944775","DOIUrl":"https://doi.org/10.1109/icccnt45670.2019.8944775","url":null,"abstract":"Image retrieval based on content is gaining popularity due to the rapid progress in the usage of image a data over mobile and internet. Fast and accurate retrieval of the images is always essential in particular when the bandwidths are scarce. Many CBIR algorithms are available in the literature for various databases. This paper proposes a CBIR algorithm for improving the retrieval accuracy from COIL 20 and COIL 100. Both the databases are basically shape based ones. Even though many shape based descriptors are available image moments play an important role in the description of the shape. Some moments which are extensively used are Hu's moments, Fourier Mellin Moments, Zernike Moments, Legendre Moments, Gaussian Hermite moments, Chebycheff moments. In this work, an algorithm using Gaussian Hermite moments and SVM is proposed. Medium Gaussian kernel is used in the SVM. A cross validation of 10 fold is used for the simulations for COIL 20 database. 25% hold out validation is used for COIL 100 database due to its large size. Performance metrics used are precision and recall in addition to the average retrieval efficiency. An average retrieval accuracy of 100% is obtained for COIL 20 database. For COIL 100, the maximum average retrieval accuracy is 99.5%. 100% precision and recall are obtained for both the databases. Results are obtained with few features, the proposed algorithm is fast compared to many algorithms. Proposed algorithm is compared with the state of the art algorithms available in the literature.","PeriodicalId":438405,"journal":{"name":"2019 10th International Conference on Computing, Communication and Networking Technologies (ICCCNT)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132339016","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: 4

Real Time Non-Linear Cloud Workload Forecasting using the Holt-Winter Model 基于冬冬模型的实时非线性云工作负荷预测

2019 10th International Conference on Computing, Communication and Networking Technologies (ICCCNT) Pub Date : 2019-07-01 DOI: 10.1109/icccnt45670.2019.8944435

Sathyanarayanan Subramanian, A. Kannammal

引用次数: 5

Aggression Detection on Multilingual Social Media Text 多语言社交媒体文本的攻击性检测

2019 10th International Conference on Computing, Communication and Networking Technologies (ICCCNT) Pub Date : 2019-07-01 DOI: 10.1109/icccnt45670.2019.8944868

Shukrity Si, A. Datta, Somnath Banerjee, S. Naskar

{"title":"Aggression Detection on Multilingual Social Media Text","authors":"Shukrity Si, A. Datta, Somnath Banerjee, S. Naskar","doi":"10.1109/icccnt45670.2019.8944868","DOIUrl":"https://doi.org/10.1109/icccnt45670.2019.8944868","url":null,"abstract":"With the advancement of technology, social media such as Facebook, Twitter, etc. plays an important role in communication whether it is texting, sharing photos, audio-video calls or expressing views through comments. Along with these advantages, it has some negative sides as well which brings aggression towards some section of people. Such aggression, hatred in social media needs to be detected and prevented automatically which is the main objective of our work. We have worked on Hindi, English and Hindi-English (code-mixed) datasets. We used features like word vectors, aggressive words (manually created dictionary), sentiment scores, parts of speech and emojis for the classification task. We experimented with several machine learning and deep learning models and the results indicate that XGBoost Classifier, Gradient Boosting Classifier (GBM) and Support Vector Machine (SVM) are most suited for the task. Therefore the output of the three classifiers were used for majority voting which provides f-scores of 68.13, 54.82 and 55.31 for the English, Hindi and code-mixed datasets respectively.","PeriodicalId":438405,"journal":{"name":"2019 10th International Conference on Computing, Communication and Networking Technologies (ICCCNT)","volume":"64 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130152814","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: 17

Development of a wireless Automotive Health Monitoring System for Doctor's Chamber 医生室无线车载健康监测系统的研制

2019 10th International Conference on Computing, Communication and Networking Technologies (ICCCNT) Pub Date : 2019-07-01 DOI: 10.1109/icccnt45670.2019.8944764

Ashim Nath, Muhammad. Ashraf-Ur-Rahman, M. A. Kader, Kazi Mohammad Hamim Muttaqui, Md. Eftekhar Alam, Y. Arafat

{"title":"Development of a wireless Automotive Health Monitoring System for Doctor's Chamber","authors":"Ashim Nath, Muhammad. Ashraf-Ur-Rahman, M. A. Kader, Kazi Mohammad Hamim Muttaqui, Md. Eftekhar Alam, Y. Arafat","doi":"10.1109/icccnt45670.2019.8944764","DOIUrl":"https://doi.org/10.1109/icccnt45670.2019.8944764","url":null,"abstract":"The developing countries like Bangladesh have not enough doctors to provide health service to their large population. Doctors are passing too much busy time in their chamber, and due to the shortage of time, it's not possible for them to measure weight, height, pulse rate, and BMI of their patient. But these essential parameters are directly related to the diagnosis and treatment of patients. Some doctors appoint an assistant to take these data, but to collect these data quickly, they frequently made mistakes. For this reason, we are presenting here a system which can measure weight, height, and calculate BMI of patients in a concise time with considerable accuracy and precision. These data are transferred to a device placed at doctors table. The device placed at the doctor's table can also measure the pulse rate, and all the parameters are shown in an LCD. Also, the device shows the patient health status following the ideal BMI chart. The system consists of a microcontroller, LCD display, RF transmitter-receiver, height sensor, weight sensor, and pulse sensor. We believe that this system would be a great helping hand to quantify medical diagnosis and treatment.","PeriodicalId":438405,"journal":{"name":"2019 10th International Conference on Computing, Communication and Networking Technologies (ICCCNT)","volume":"81 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134302070","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