2019 International Conference on Communication and Electronics Systems (ICCES)最新文献_第2页

Performance Enhancement of OFDM System Using Modified PTS (MOPTS) PAPR Reduction Algorithm 基于改进PTS (MOPTS) PAPR约简算法的OFDM系统性能增强

2019 International Conference on Communication and Electronics Systems (ICCES) Pub Date : 2019-07-01 DOI: 10.1109/ICCES45898.2019.9002045

Prabal Gupta, H. Thethi

引用次数: 2

Classification System for Lung Cancer Nodule Using Machine Learning Technique and CT Images 基于机器学习技术和CT图像的肺癌结节分类系统

2019 International Conference on Communication and Electronics Systems (ICCES) Pub Date : 2019-07-01 DOI: 10.1109/ICCES45898.2019.9002529

S. Baskar, P. Shakeel, K. P. Sridhar, R. Kanimozhi

{"title":"Classification System for Lung Cancer Nodule Using Machine Learning Technique and CT Images","authors":"S. Baskar, P. Shakeel, K. P. Sridhar, R. Kanimozhi","doi":"10.1109/ICCES45898.2019.9002529","DOIUrl":"https://doi.org/10.1109/ICCES45898.2019.9002529","url":null,"abstract":"Nowadays, Lung cancer emerges as one of the most common cancers that adversely affects the people. According to statistics 4,30,000 people are affected by lung cancer. Computed Tomography is the popularly used diagnosis method for lung cancer. In contempt of accurate diagnosis at the early stages, there are some limitations for this method like time consumption and tumour boundaries are unclear. Delta Radiomics is another method used to analyze the image features with respect to time quantitatively for a region of interest and the extracted features are develop to improve the screening of lung cancer. In this paper the features of the cancer nodules are extracted by Delta Radiomics using the machine learning techniques. The Support Vector Machine (SVM) is used to predict the malignancy of the lung cancer nodules. The SVM is capable of analyzing compact features in a lung cancer nodule image and classification of an image is performed effectively for differentiating the various nodules. Therefore, SVM is suggested as the most suitable method for diagnosing and detecting the lung cancer.","PeriodicalId":348347,"journal":{"name":"2019 International Conference on Communication and Electronics Systems (ICCES)","volume":"31 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":"114444822","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

Pneumatic Controlled Smart Arecanut Plucking Robot with Raspberry Pi 带树莓派的气动智能槟榔采摘机器人

2019 International Conference on Communication and Electronics Systems (ICCES) Pub Date : 2019-07-01 DOI: 10.1109/ICCES45898.2019.9002228

S. Gowda, Prathima K R, Yashaswini L, Rakesh M D, T. R. Sateesh Kumar

{"title":"Pneumatic Controlled Smart Arecanut Plucking Robot with Raspberry Pi","authors":"S. Gowda, Prathima K R, Yashaswini L, Rakesh M D, T. R. Sateesh Kumar","doi":"10.1109/ICCES45898.2019.9002228","DOIUrl":"https://doi.org/10.1109/ICCES45898.2019.9002228","url":null,"abstract":"Due to the scarcity of skilled labourers, areca growers are finding it difficult to harvest their crop. Arecanut tree climbing is a risky job which requires skilled labourers. If a person slips while climbing, it will be irreparable damage to him and as well as to his family. In recent years, getting labourers who climb the arecanut tree is a major challenge. Arecanut trees grow to a height of about 60 to 70 feet. It is required to climb the arecanut tree around four to five times in a year for harvesting. Only skilled labourers can carry out these operations. In this paper, a Smart Arecanut Plucking Robot is designed through which some of the above difficulties are addressed. This robot is designed to climb the arecanut trees of varying diameter. Here, the robot can be operated either in manual mode or in automatic mode. Six pneumatic cylinders are used with an air compressor for robot movement. Arduino UNO is used for controlling the pneumatic cylinders. The robot climbs as human climbs the tree and a camera is mounted on the robot to get the live video streaming. Raspberry Pi is used for interfacing camera to get live video streaming of the plucking operation. By watching the live video, the position of the cutter can be adjusted. The android application RaspiCAM Remote installed in users android phone is used to watch the live video stream sent by the Raspberry Pi present in the robotic unit. A robot is successfully tested on an arecanut tree of varying trunk diameter (up to 7 inches) and heights (up to a maximum of 45 feet). The user is successfully able to guide the robot to cut the ripened arecanut bunch.","PeriodicalId":348347,"journal":{"name":"2019 International Conference on Communication and Electronics Systems (ICCES)","volume":"46 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":"117272610","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: 3

FPGA Implementation of segmented feature fusion in MRI images using wavelet 基于小波的MRI图像分割特征融合FPGA实现

2019 International Conference on Communication and Electronics Systems (ICCES) Pub Date : 2019-07-01 DOI: 10.1109/ICCES45898.2019.9002032

S. Sreekrishna Yadav, VlKAS Mittal

{"title":"FPGA Implementation of segmented feature fusion in MRI images using wavelet","authors":"S. Sreekrishna Yadav, VlKAS Mittal","doi":"10.1109/ICCES45898.2019.9002032","DOIUrl":"https://doi.org/10.1109/ICCES45898.2019.9002032","url":null,"abstract":"Now-a-days, digital image processing in medical diagnosis is essential in almost all medical fields. Human eye is usually used to visually interpret a processed image as how well a particular technique used for its processing has worked. In medical diagnosis, two important techniques viz computed tomography (CT) offers less distortion with better information on denser tissues while magnetic resonance image (MRI) offers high distortion with best information on soft tissues. The multimodality of medical images in clinical applications has framed the idea of combining clinical images of distinct modality in medical applications. This knowledge of fusing clinical images has raised a new promising research field. The experiments on image fusion technique shows that it could extract useful information from distinct source images in fused images in order to obtain clear images. In this paper, an image fusion system with standalone hardware implementation framework is proposed. Xilinx platform studio (XPS), Visual Basic (VB) software's and FPGA Spartan 3 image processing kit is used for implementation. Firstly, input images are converted to .h files using MATLAB GUI. Then XPS is used to pick software and hardware components for fusing the images by incorporating source and .h files and converting them to bit streams for downloading them to FPGA Spartan3 kit. The fused image as obtained from FPGA can be seen using Visual Basic Graphic User Interface (GUI) on the monitor.","PeriodicalId":348347,"journal":{"name":"2019 International Conference on Communication and Electronics Systems (ICCES)","volume":"18 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":"129595533","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

Safety and Driver Assistance in VANETs: An Experimental Approach for V2V 自动驾驶汽车的安全与驾驶辅助:一种V2V的实验方法

2019 International Conference on Communication and Electronics Systems (ICCES) Pub Date : 2019-07-01 DOI: 10.1109/ICCES45898.2019.9002562

C. Evangeline, V. Kumaravelu, A. Joshi

{"title":"Safety and Driver Assistance in VANETs: An Experimental Approach for V2V","authors":"C. Evangeline, V. Kumaravelu, A. Joshi","doi":"10.1109/ICCES45898.2019.9002562","DOIUrl":"https://doi.org/10.1109/ICCES45898.2019.9002562","url":null,"abstract":"In recent years there has been an exponential increase in the number of automobiles available to the consumers. Due to high density of vehicles, the potential threats and road accidents are increasing. The vehicles itself designed in such a way to provide lot of services for users in transit such as toll, infotainment and gaming. The vehicle can able to communicate with other vehicle in order to provide updates about different road situations and dangerous conditions, which results in saving time and lives. This new emerging technology called Vehicular Network (VANET) helps in achieving this communication. The main aim of this work is to develop the prototype for the prevention of chain collisions of vehicles on highways, by sending an indication of collision of the collided vehicle to the preceding vehicles. VANET provides the communication between vehicles and road-side units (RSU) with an aim of providing efficient and safe transportation. The ultrasonic sensor interfaced with the on board unit (OBU) has a controller which detects the collision of the target vehicle and sends the information to the OBU of preceding vehicle. This is accomplished by employing NodeMCUs. Both the NodeMCUs uses user datagram protocol (UDP) to communicate with each other. The RSU provide a hotspot for both NodeMCUs to connect. The present format is a prototype model that can adapted with inputs from different sensors to provide more reliable data to the preceding.","PeriodicalId":348347,"journal":{"name":"2019 International Conference on Communication and Electronics Systems (ICCES)","volume":"1 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":"129019266","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

Luenberger observer based sensorless speed control of induction motor with Fuzzy tuned PID controller 基于Luenberger观测器的感应电机无传感器速度模糊整定PID控制

2019 International Conference on Communication and Electronics Systems (ICCES) Pub Date : 2019-07-01 DOI: 10.1109/ICCES45898.2019.9002268

Vaibhav S. Virkar, Sushil Karvekar

引用次数: 2

Memory Optimizing Algorithms for Data Acquisition in Electric Drive of Hybrid Electric Vehicles 混合动力汽车电驱动数据采集的内存优化算法

2019 International Conference on Communication and Electronics Systems (ICCES) Pub Date : 2019-07-01 DOI: 10.1109/ICCES45898.2019.9002537

Gopika Rajan, V. Ramalingam

{"title":"Memory Optimizing Algorithms for Data Acquisition in Electric Drive of Hybrid Electric Vehicles","authors":"Gopika Rajan, V. Ramalingam","doi":"10.1109/ICCES45898.2019.9002537","DOIUrl":"https://doi.org/10.1109/ICCES45898.2019.9002537","url":null,"abstract":"Data acquisition of electric drive is very much relevant in the context of electric vehicles. Different data like IGBT temperature, diode temperature, coolant temperature, electric machine coolant temperature, motor torque, electric machine speed data etc. have to be acquired and analyzed in electronic control units. Data samples are processed in RAM using various algorithms and relevent information is extracted and transferred to ROM as various maps. These information are useful in life time estimation, failure analysis and optimum design of various electric drive components. Histograms and rainflow counting are conventionally adopted methods in data acquisition. Histograms may include irrelevant information and also require large memory space. Normal offline rainflow counting also demands large memory, which necessitates the need for an optimum memory consuming data acquisition algorithm. An online rainflow counting algorithm based on three point method can minimize the RAM space consumption by significant amount. The data counts remains same as in offline rainflow algorithm. Instead of using histograms for data like electric machine speed, data counts for only the relevant operating range can be stored, which minimizes memory requirement. Also level crossing counting is another algorithm which can be adopted where we are interested only in threshold crossings of the parameter acquired, for example the threshold crossing of inverter phase currents, which can cause serious damage to the system. Memory requirement minimization achieved by the above mentioned algorithms are validated by simulation.","PeriodicalId":348347,"journal":{"name":"2019 International Conference on Communication and Electronics Systems (ICCES)","volume":"171 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":"124180382","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

An Improved Inverter Control for Grid-Connected PV System 一种改进的并网光伏系统逆变器控制

2019 International Conference on Communication and Electronics Systems (ICCES) Pub Date : 2019-07-01 DOI: 10.1109/ICCES45898.2019.9002311

Varun Kumar Mahawar, S. Tiwari

引用次数: 0

Object Detection and Tracking using Zernike Moment 基于Zernike矩的目标检测与跟踪

2019 International Conference on Communication and Electronics Systems (ICCES) Pub Date : 2019-07-01 DOI: 10.1109/ICCES45898.2019.9002556

S. Vengurlekar, D. Jadhav, S. Shinde

引用次数: 3

Radiation Data Acquisition System Using Wireless Communication 无线通信辐射数据采集系统

2019 International Conference on Communication and Electronics Systems (ICCES) Pub Date : 2019-07-01 DOI: 10.1109/ICCES45898.2019.9002304

M. Reshma Ramanan, G. Shekar, P. Sreelatha, P. Pradeepkumar

引用次数: 0