发布求助
文献互助 智能选刊 最新文献

2020 IEEE International Conference on Distributed Computing, VLSI, Electrical Circuits and Robotics (DISCOVER)最新文献

筛选
英文 中文
Price look out using web browser for the objects detected in the image 使用web浏览器查找图像中检测到的对象
2020 IEEE International Conference on Distributed Computing, VLSI, Electrical Circuits and Robotics (DISCOVER) Pub Date : 2020-10-30 DOI: 10.1109/DISCOVER50404.2020.9278110
Sreesh Sangra, Smitha N. Pai
{"title":"Price look out using web browser for the objects detected in the image","authors":"Sreesh Sangra, Smitha N. Pai","doi":"10.1109/DISCOVER50404.2020.9278110","DOIUrl":"https://doi.org/10.1109/DISCOVER50404.2020.9278110","url":null,"abstract":"Object Detection and Recognition in the field of computer vision is gaining popularity due to enormous number of applications associated with them. Number of algorithm are developed for object detection and recognition along with localization. In the current paper, a relative comparison of various object detecting algorithm in terms of speed is carried out and “You only look once (YOLO)” is selected for further studies. It is one of the prominent deep learning algorithm associated with object detection at real time. The algorithm scans the image only once to localize and detect multiple objects present in the image. Training is a memory and time intensive process, hence trained weights are directly used for computation. Based on the labels that are obtained from the detected objects their pricing information are obtained. This saves considerable amount of time when pricing information of objects are required in large numbers of multi-object images.","PeriodicalId":131517,"journal":{"name":"2020 IEEE International Conference on Distributed Computing, VLSI, Electrical Circuits and Robotics (DISCOVER)","volume":"1945 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129195990","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
Soybean crop disease classification using machine learning techniques 利用机器学习技术进行大豆作物病害分类
2020 IEEE International Conference on Distributed Computing, VLSI, Electrical Circuits and Robotics (DISCOVER) Pub Date : 2020-10-30 DOI: 10.1109/DISCOVER50404.2020.9278060
R. Krishna, P. V.
{"title":"Soybean crop disease classification using machine learning techniques","authors":"R. Krishna, P. V.","doi":"10.1109/DISCOVER50404.2020.9278060","DOIUrl":"https://doi.org/10.1109/DISCOVER50404.2020.9278060","url":null,"abstract":"Machine learning is very widely used for many applications like classification and regression. Diseases in the soybean crop are classified using machine learning techniques. Physic crop properties and weather parameters are used as a attributes for classification. K nearest neighbor, naive Bayes, decision tree, neural network algorithms are used for classification. The result is compared with the ensemble classifier called bagging.","PeriodicalId":131517,"journal":{"name":"2020 IEEE International Conference on Distributed Computing, VLSI, Electrical Circuits and Robotics (DISCOVER)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133172006","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: 5
Semantic Segmentation of UAV Videos based on Temporal Smoothness in Conditional Random Fields 基于条件随机场时间平滑的无人机视频语义分割
2020 IEEE International Conference on Distributed Computing, VLSI, Electrical Circuits and Robotics (DISCOVER) Pub Date : 2020-10-30 DOI: 10.1109/DISCOVER50404.2020.9278040
G. S, M. M, Ujjwal Verma, R. Pai
{"title":"Semantic Segmentation of UAV Videos based on Temporal Smoothness in Conditional Random Fields","authors":"G. S, M. M, Ujjwal Verma, R. Pai","doi":"10.1109/DISCOVER50404.2020.9278040","DOIUrl":"https://doi.org/10.1109/DISCOVER50404.2020.9278040","url":null,"abstract":"Video semantic segmentation is increasingly becoming a vital factor in many Unmanned Aerial Vehicle (UAV) drone-based applications such as surveillance, scene understanding etc. However, the accuracy of video semantic segmentation systems are greatly dependent on temporal consistent labelling. In this regard, a new approach for semantic segmentation of UAV videos is proposed by utilizing U-Net and Conditional Random Field. This algorithm incorporates temporal information to ensure temporal consistency in labelling. This work shows that Conditional Random Field algorithm along with temporal cues reduces the false positives and increases the accuracy of semantic segmentation. Moreover, the proposed method is quantitatively evaluated on ManipalUAVid dataset and achieved a mIoU of 0.88 which is significantly greater than traditional image based segmentation method such as U-Net.","PeriodicalId":131517,"journal":{"name":"2020 IEEE International Conference on Distributed Computing, VLSI, Electrical Circuits and Robotics (DISCOVER)","volume":"22 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123651827","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
Computational Method for Preterm Labor Prediction using Electrohysterogram 子宫电图预测早产的计算方法
2020 IEEE International Conference on Distributed Computing, VLSI, Electrical Circuits and Robotics (DISCOVER) Pub Date : 2020-10-30 DOI: 10.1109/DISCOVER50404.2020.9278064
Neha Sara John, N. Sriraam, R. J. Martis, Supriya B. S, Varsha M. S, J. N
{"title":"Computational Method for Preterm Labor Prediction using Electrohysterogram","authors":"Neha Sara John, N. Sriraam, R. J. Martis, Supriya B. S, Varsha M. S, J. N","doi":"10.1109/DISCOVER50404.2020.9278064","DOIUrl":"https://doi.org/10.1109/DISCOVER50404.2020.9278064","url":null,"abstract":"Electrohysterogram (EHG) is a noninvasive approach for recording the electrical activity of the uterine muscles (myometrium). It is also known as Uterine Electromyogram (Uterine-EMG). Since it is a non-invasive alternative, it is a safe and painless procedure to monitor uterine activity. In this paper, a wavelet transformation technique was used to preprocess the raw EHG signal, to remove artifacts present in it. A secondary time series was computed from the peak intervals of the EHG signals. This was followed by the extraction of the non-linear features from this time series. The classification of labor and non-labor signals was performed with a KNN algorithm. An accuracy of 90.32% was achieved with the KNN model. With supervised learning models, labor contractions were correctly identified in women who had just entered their third trimester but had not crossed the 37th week mark. With this knowledge, potential cases of preterm births could be identified. This knowledge could assist doctors in premeditating the prevention of still-births.","PeriodicalId":131517,"journal":{"name":"2020 IEEE International Conference on Distributed Computing, VLSI, Electrical Circuits and Robotics (DISCOVER)","volume":"145 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114416579","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
Semi-automated estimation of spinal curvature from scoliosis radiographs using difference matrix 利用差分矩阵对脊柱侧凸x线片进行脊柱弯曲的半自动估计
2020 IEEE International Conference on Distributed Computing, VLSI, Electrical Circuits and Robotics (DISCOVER) Pub Date : 2020-10-30 DOI: 10.1109/DISCOVER50404.2020.9278054
Rakshith Kamath, Anu Shaju Areeckal
{"title":"Semi-automated estimation of spinal curvature from scoliosis radiographs using difference matrix","authors":"Rakshith Kamath, Anu Shaju Areeckal","doi":"10.1109/DISCOVER50404.2020.9278054","DOIUrl":"https://doi.org/10.1109/DISCOVER50404.2020.9278054","url":null,"abstract":"Scoliosis is a medical condition in which there is a deformity and bending of the spine. Early detection and corrective measures can prevent severe cases, mainly in early childhood. The gold standard method for the diagnosis of scoliosis is the measurement of spine curvature using Cobb angle. In this paper, a semi-automated approach for accurate estimation of Cobb angles from scoliosis radiographs using a difference matrix is proposed. Given the landmark points of the vertebral columns in the spine, the spinal mid-line is determined by curve fitting of the 4th degree polynomial. Using a difference matrix created by calculating slopes in key points along the curve, Cobb angles are calculated. Data used in this work is obtained from the Accurate Automated Spinal Curvature Estimation (AASCE) Challenge 2019. The method is evaluated using mean absolute error and symmetric mean absolute percentage error. The proposed method gives promising results and could be used in accurate estimation of Cobb angle for the diagnosis of scoliosis.","PeriodicalId":131517,"journal":{"name":"2020 IEEE International Conference on Distributed Computing, VLSI, Electrical Circuits and Robotics (DISCOVER)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125261485","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
Speed Improvement in SRAM Cell Using Transmission Gates 利用传输门提高SRAM单元的速度
2020 IEEE International Conference on Distributed Computing, VLSI, Electrical Circuits and Robotics (DISCOVER) Pub Date : 2020-10-30 DOI: 10.1109/DISCOVER50404.2020.9278104
P. Swetha, P. Meghana, Jonnala Charisma, Kirti S. Pande
{"title":"Speed Improvement in SRAM Cell Using Transmission Gates","authors":"P. Swetha, P. Meghana, Jonnala Charisma, Kirti S. Pande","doi":"10.1109/DISCOVER50404.2020.9278104","DOIUrl":"https://doi.org/10.1109/DISCOVER50404.2020.9278104","url":null,"abstract":"All battery-operated devices require primary memory that responds fast. By virtue of its high speed and performance, Static RAM is commonly used as cache memory and main memory in many applications. A major challenge faced in design of SRAM Cells is Read Destruction. This work introduces Transmission Gate Differential 8T (TGD8T) SRAM Cell, in which Transmission Gates are used instead of Pass Transistors in feedback path of the Existing D8T SRAM Cell in order to minimize the voltage drop across the Pass Transistors. This reduces the amount of Read Destruction and accelerates the data transmission. The transmission gates have been implemented using both High Threshold Voltage (HVT) and Low Threshold Voltage (LVT) type MOSFETS. The amount of Read Destruction in TGD8T SRAM Cell is 66.59% lesser than that of the Existing D8T SRAM Cell. Further, the transient analysis of the Read Destruction in the proposed design shows a 29.45 % reduction in the Average Transient Time. The TGD8T SRAM Cell using LVT type MOSFETs offers lesser rise time and a lower voltage drop during data transmission over the model using HVT type MOSFETs. Analysis of Static Noise Margin (SNM) of the proposed cell using N-Curve Method shows 0.13% and 5% increase in current and voltage SNMs respectively showing no compromise in noise immunity when compared to the Existing D8T SRAM Cell. The proposed TGD8T SRAM Cell is implemented in Cadence Virtuoso using gpdk 45 nm technology at a supply voltage of 0.5 V.","PeriodicalId":131517,"journal":{"name":"2020 IEEE International Conference on Distributed Computing, VLSI, Electrical Circuits and Robotics (DISCOVER)","volume":"114 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117246124","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
Multi-level Transformerless PV inverter Based Real and Reactive Power Injection for Single Phase System 基于多级无变压器光伏逆变器的单相系统实功率和无功功率注入
2020 IEEE International Conference on Distributed Computing, VLSI, Electrical Circuits and Robotics (DISCOVER) Pub Date : 2020-10-30 DOI: 10.1109/DISCOVER50404.2020.9278123
Bhagyashree Karur, Sanjeevkumar R A
{"title":"Multi-level Transformerless PV inverter Based Real and Reactive Power Injection for Single Phase System","authors":"Bhagyashree Karur, Sanjeevkumar R A","doi":"10.1109/DISCOVER50404.2020.9278123","DOIUrl":"https://doi.org/10.1109/DISCOVER50404.2020.9278123","url":null,"abstract":"The grid connected Photovoltaic (PV) inverters are used to generate and inject real power to the grid. The main concerns of grid connected PV inverters are efficiency and harmonic contents due to oscillations in dc link voltage due to Maximum Power Point Tracking (MPPT) under clouded conditions. In this paper, we are using transformerless PV inverter, so that the size and cost as well as the losses can be minimized. For this new transformerless multilevel inverter is proposed in this paper with seven levels with eight switches. This inverter provides zero common mode leakage current and also capable of injecting both real and reactive power. Simulation work is carried out for seven level proposed inverter topologies in MATLAB/Simulink software which determines its maximum power point tracking performance.","PeriodicalId":131517,"journal":{"name":"2020 IEEE International Conference on Distributed Computing, VLSI, Electrical Circuits and Robotics (DISCOVER)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123229126","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
Design and Implementation of 64-bit Parallel Prefix Adder 64位并行前缀加法器的设计与实现
2020 IEEE International Conference on Distributed Computing, VLSI, Electrical Circuits and Robotics (DISCOVER) Pub Date : 2020-10-30 DOI: 10.1109/DISCOVER50404.2020.9278102
Akash Kumar R, A. Shetty, Mohammed Saud, Preemal Sharanya Serrao, R. Pinto
{"title":"Design and Implementation of 64-bit Parallel Prefix Adder","authors":"Akash Kumar R, A. Shetty, Mohammed Saud, Preemal Sharanya Serrao, R. Pinto","doi":"10.1109/DISCOVER50404.2020.9278102","DOIUrl":"https://doi.org/10.1109/DISCOVER50404.2020.9278102","url":null,"abstract":"Binary addition is a commonly used application in computational arithmetic. Adders are the basic building blocks of the various computational structures leading to wide applications in Digital Signal Processing, arithmetic, and logical units, microprocessors, and microcontrollers. Research on adders with optimal specifications is continuously carried out. The delay of an adder depends on the speed of the carry bit to reach the next bit position for addition. In this paper, we introduce and discuss a fast 64-bit parallel prefix adder design. The proposed novel design uses the advantage of the Ling adder design needed to suppress the area requirement and increase the computation speed compared to the existing algorithms. With a moderate increase in area and power, the adder gives a quality critical path delay of 21.9ns. The structure is coded using Verilog HDL, simulated, and implemented with the Xilinx Vivado tool.","PeriodicalId":131517,"journal":{"name":"2020 IEEE International Conference on Distributed Computing, VLSI, Electrical Circuits and Robotics (DISCOVER)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127874975","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
A Switched Capacitor Multilevel Inverter with Voltage Boosting Ability 一种具有升压能力的开关电容多电平逆变器
2020 IEEE International Conference on Distributed Computing, VLSI, Electrical Circuits and Robotics (DISCOVER) Pub Date : 2020-10-30 DOI: 10.1109/DISCOVER50404.2020.9278107
Nitin Kumar, Sushma J Patil, M. Aspalli
{"title":"A Switched Capacitor Multilevel Inverter with Voltage Boosting Ability","authors":"Nitin Kumar, Sushma J Patil, M. Aspalli","doi":"10.1109/DISCOVER50404.2020.9278107","DOIUrl":"https://doi.org/10.1109/DISCOVER50404.2020.9278107","url":null,"abstract":"This paper presents a Switched Capacitor multilevel inverter with voltage boosting ability to obtain fourfold boost with fewer components which can be used to boost and convert, the low output DC of the solar cells or renewable energy sources, into high AC output voltage thus the inverter can be used in applications like integration of solar PV/battery hybrid system for micro grid, hybrid electric vehicle, aerospace industries etc. The proposed topology with single de source uses only eight switches to achieve a nine-level output, self-voltage balance of capacitors and fourfold boost, thus, the effective cost is reduced compared to other switched-capacitor multilevel inverters (SCMLIs). Like other SCMLIs, the proposed multilevel switched-capacitor inverters do not require a backend H-bridge, in which four switches must withstand the peak output voltage. Therefore, total standing voltage (TSV) can be lowered. The switched capacitor configuration is used to auto-balance the capacitor by supplying the switches with appropriate pulses using phase disposition pulse width modulation method.","PeriodicalId":131517,"journal":{"name":"2020 IEEE International Conference on Distributed Computing, VLSI, Electrical Circuits and Robotics (DISCOVER)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114240454","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
Determining Feature Gaps Of Open Source Cloud Platforms for Mobile Backend as service (MBaaS) in Enterprise Mobile Applications 企业移动应用中移动后端即服务(MBaaS)开源云平台特征差距的确定
2020 IEEE International Conference on Distributed Computing, VLSI, Electrical Circuits and Robotics (DISCOVER) Pub Date : 2020-10-30 DOI: 10.1109/DISCOVER50404.2020.9278113
Aslam B Nandyal, Mohammed Rafi
{"title":"Determining Feature Gaps Of Open Source Cloud Platforms for Mobile Backend as service (MBaaS) in Enterprise Mobile Applications","authors":"Aslam B Nandyal, Mohammed Rafi","doi":"10.1109/DISCOVER50404.2020.9278113","DOIUrl":"https://doi.org/10.1109/DISCOVER50404.2020.9278113","url":null,"abstract":"The development of mobile applications for various platforms requires enormous amount of time and effort. Demand for high performance, high quality, cloud enabled, social media and security aware features in a limited time to market environment requires systems which solve the task of integrating the front ends with various back ends. The model of “Mobile Backend as a service” (MBaaS) offers a cloud server infrastructure with Application Programming Interface/Software Development Kits for development on various mobile, web and desktop platforms. This saves considerable amount of app development expense, time, as it eases up the backend development work, thereby enabling the developer to focus on functionality, its promotion and on the improvement of the user experience. Technical requirements and various features of both open source and commercial MBaaS products are compiled. The paper evaluates popular, open source products available for enterprise mobile, web and desktop applications, and documents the fundamental and common set of capabilities provided by MBaaS. The developers, technical architects and managers will benefit from the qualitative analysis of development, deployment and engagement services of each MBaaS platform. The constraints discussed can be a feedback to platform vendors and hence the observations can help the complete ecosystem of mobile application development.","PeriodicalId":131517,"journal":{"name":"2020 IEEE International Conference on Distributed Computing, VLSI, Electrical Circuits and Robotics (DISCOVER)","volume":"547 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133367343","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
首页 上一页 下一页 尾页
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整，为了账户安全，请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
请完成安全验证×
相关产品
×
本文献相关产品
联系我们：info@booksci.cn Book学术提供免费学术资源搜索服务，方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号：481959085
Book学术官方微信