发布求助
文献互助 智能选刊 最新文献

2018 International Conference on Computing and Network Communications (CoCoNet)最新文献

筛选
英文 中文
Crops Disease Diagnosing Using Image-Based Deep Learning Mechanism 基于图像深度学习机制的农作物病害诊断
2018 International Conference on Computing and Network Communications (CoCoNet) Pub Date : 2018-08-01 DOI: 10.1109/COCONET.2018.8476914
Hyeon Park, Eun JeeSook, Sehan Kim
{"title":"Crops Disease Diagnosing Using Image-Based Deep Learning Mechanism","authors":"Hyeon Park, Eun JeeSook, Sehan Kim","doi":"10.1109/COCONET.2018.8476914","DOIUrl":"https://doi.org/10.1109/COCONET.2018.8476914","url":null,"abstract":"To increase the crop productivity environmental factors or product resource, such as temperature, humidity, labor and electrical costs are important. However, above all, crop disease is the crucial factor and causes 20–30% reduction of the productivity in case of its infection. Thus, the disease of the crop is much more important factor affecting the productivity of the crops. Therefore, the farmer concentrates on the cause of the disease in the crops during its growth, but it is not easy to recognize the disease on the spot. Until now, they just relied on the opinion of the experts or their own experiences when the disease is doubtful. However, it triggers a decrease in productivity as no taking appropriate action and time. In this paper, to address this problem we provide the mechanism, which dynamically analyses the images of the disease. The analysis result is immediately sent to the farmer required the decision and then feedback from the farmer is reflected to the model. The mechanism performs the diagnosing of the disease, especially for the strawberry fruits and leaves, with data set of images using deep learning. Thus, it encourages increasing of the productivity through the fast recognition of disease and the consequent action.","PeriodicalId":250788,"journal":{"name":"2018 International Conference on Computing and Network Communications (CoCoNet)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129197476","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: 24
Noise analysis of CMOS-memristive and CMOS-resistive current mirrors cmos记忆式和电阻式电流反射镜的噪声分析
2018 International Conference on Computing and Network Communications (CoCoNet) Pub Date : 2018-08-01 DOI: 10.1109/COCONET.2018.8476814
Dmitriy Kupreyev
{"title":"Noise analysis of CMOS-memristive and CMOS-resistive current mirrors","authors":"Dmitriy Kupreyev","doi":"10.1109/COCONET.2018.8476814","DOIUrl":"https://doi.org/10.1109/COCONET.2018.8476814","url":null,"abstract":"The abundance of application of current mirror circuits in practice requires constant improvement of the circuit for dealing with various types of noise and disturbances. Such methods include introduction of CMOS, BJT, Memristors and other devices. Dealing with noise results in the improvement of a circuit's performance. This paper aims to analyze the noise behavior in the current mirror with CMOS-memristor circuit. It is primary focusing on the noise analysis in self-biased high swing cascode current mirror. The analysis includes identification of the noise characteristics in resistive and memristive CMOS current mirrors and further comparison of these characteristics. It is expected that CMOS-memristor circuit is more resistant to noise, comparing to its CMOS-resistor analog.","PeriodicalId":250788,"journal":{"name":"2018 International Conference on Computing and Network Communications (CoCoNet)","volume":"115 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132377757","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
On the Performance of UAV-enabled Multihop V2V FSO systems over generalized α -μ Channels 基于广义α -μ信道的无人机多跳V2V FSO系统性能研究
2018 International Conference on Computing and Network Communications (CoCoNet) Pub Date : 2018-08-01 DOI: 10.1109/COCONET.2018.8476910
Kassen Dautov, S. Arzykulov, G. Nauryzbayev, Refik Caglar Kizilirmak
{"title":"On the Performance of UAV-enabled Multihop V2V FSO systems over generalized α -μ Channels","authors":"Kassen Dautov, S. Arzykulov, G. Nauryzbayev, Refik Caglar Kizilirmak","doi":"10.1109/COCONET.2018.8476910","DOIUrl":"https://doi.org/10.1109/COCONET.2018.8476910","url":null,"abstract":"In this paper, a cooperative multi-hop vehicle-to-vehicle communication over free-space optics (FSO) medium is examined, where unmanned aerial vehicles act as relay nodes. Outage performance of FSO cooperative system is analyzed by deriving the closed-form expressions, where atmospheric turbulence was defined by a generalized α -μ statistical model. Moreover, results on the bit error rate (BER) performance over various distributions are obtained. In addition, it is shown that the BER over Rayleigh fading outperforms the ones over Weibull and Nakagami fading channels when a two-relay FSO system is taken into consideration. Finally, it is presented that the BER with the detect-and-forward mode has better performance in contrast to the BER with amplify-and-forward mode when three and four hop scenarios are considered.","PeriodicalId":250788,"journal":{"name":"2018 International Conference on Computing and Network Communications (CoCoNet)","volume":"292 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131782143","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: 11
An Improved Face Recognition Algorithm Based on Sparse Representation 基于稀疏表示的人脸识别改进算法
2018 International Conference on Computing and Network Communications (CoCoNet) Pub Date : 2018-08-01 DOI: 10.1109/COCONET.2018.8476916
Cemil Turan, S. Kadyrov, Diana Burissova
{"title":"An Improved Face Recognition Algorithm Based on Sparse Representation","authors":"Cemil Turan, S. Kadyrov, Diana Burissova","doi":"10.1109/COCONET.2018.8476916","DOIUrl":"https://doi.org/10.1109/COCONET.2018.8476916","url":null,"abstract":"This paper considers a variation of Sparse Representation-based Classification algorithm. Accuracy and time of evaluation of face recognition are two key performance indicators. This work compares performance of modified Sparse Representation-based Classification algorithm against original Sparse Representation-based Classification algorithm. Yale Face Database B is used to carry MATLAB simulations and results show that modified Sparse Representation-based Classification algorithm outperforms in terms of time. Moreover, the authors study and compare these algorithms when there is only a few training samples per subject is available.","PeriodicalId":250788,"journal":{"name":"2018 International Conference on Computing and Network Communications (CoCoNet)","volume":"101 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127106126","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
New Voltage Mode Sense Amplifier Design with CMOS-Memristive Components 基于cmos记忆元件的新型电压模式感测放大器设计
2018 International Conference on Computing and Network Communications (CoCoNet) Pub Date : 2018-08-01 DOI: 10.1109/coconet.2018.8476901
A. Alimkhan, O. Krestinskaya
{"title":"New Voltage Mode Sense Amplifier Design with CMOS-Memristive Components","authors":"A. Alimkhan, O. Krestinskaya","doi":"10.1109/coconet.2018.8476901","DOIUrl":"https://doi.org/10.1109/coconet.2018.8476901","url":null,"abstract":"Memristor is a new device that is widely used in recently proposed architectures to improve on-chip area and power consumption. This paper proposes novel CMOS-memristive Voltage Mode Sense Amplifier (VMSA) designed with TSMC lSOnm CMOS technology. In the proposed circuit, several CMOS transistors of the conventional CMOS sense amplifier design are replaced with memristive elements. The preliminary design is simulated in SPICE. The proposed amplifier ensures the reduction of on-chip area of the amplifier.","PeriodicalId":250788,"journal":{"name":"2018 International Conference on Computing and Network Communications (CoCoNet)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131821851","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
Analysis of Hyperbolic Tangent Passive Resistive Neuron With CMOS-Memristor Circuit 双曲正切无源电阻神经元的cmos -忆阻电路分析
2018 International Conference on Computing and Network Communications (CoCoNet) Pub Date : 2018-08-01 DOI: 10.1109/coconet.2018.8476905
M. Kenzhina, I. Dolzhikova
{"title":"Analysis of Hyperbolic Tangent Passive Resistive Neuron With CMOS-Memristor Circuit","authors":"M. Kenzhina, I. Dolzhikova","doi":"10.1109/coconet.2018.8476905","DOIUrl":"https://doi.org/10.1109/coconet.2018.8476905","url":null,"abstract":"Sigmoid and hyperbolic tangent functions are the computational elements of neural networks, which are applied very widely. This paper aims to propose a simple design for improving the tanh-like passive resistive-type neuron by introducing memristor. Minimal leakage current and small on-chip area, low power consumption and non-volatile memory are the features that make the memristor promising and powerful tool in circuit design. However since memristive devices are not capable to supply energy to a circuit, they should be coupled with conventional CMOS devices, thus forming hybrid circuit configurations. In the frame of this study, we examine the previously proposed circuit for passive neuron. The elements are replaced by memristor to produce tanh activation function. The most efficient circuit configuration in terms performance metrics is to be determined. Our design proves that replacing CMOS device by memristor element improves the circuit performance by reducing the total power, area of the chip and THD level.","PeriodicalId":250788,"journal":{"name":"2018 International Conference on Computing and Network Communications (CoCoNet)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131933214","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
A Linear-Logarithmic CMOS-Memristor Vision Sensor 线性-对数cmos -忆阻视觉传感器
2018 International Conference on Computing and Network Communications (CoCoNet) Pub Date : 2018-08-01 DOI: 10.1109/COCONET.2018.8476907
Timur Malikov, Kamilya Smagulova, A. James
{"title":"A Linear-Logarithmic CMOS-Memristor Vision Sensor","authors":"Timur Malikov, Kamilya Smagulova, A. James","doi":"10.1109/COCONET.2018.8476907","DOIUrl":"https://doi.org/10.1109/COCONET.2018.8476907","url":null,"abstract":"Nowadays, the variety of CMOS image sensors with wide dynamic range is expanding at an undoubtedly fast rate. The primary goal in image sensors design is to maintain small pixel size and high sensitivity at low light illumination. Existing image sensors with mixed log-linear output characteristics, produce linear output at dark conditions whereas high-intensity zones provide the capability of logarithmic response. However, the change in the light intensity is not easy to be detected considering the alternation in time and the number of pixels to work with. Besides, the recording of the variation should be made when pixel changes due to its previous history. As a result, in order to track and simultaneously notify about the changes in the behavior, a memory device called memristor, also known as a time-varying resistor, should be implemented. This paper propounds an original design of CMOS vision sensor based on the five-transistor (5T) active pixel sensor (APS) and memristorintegrated APS with a lin-log response. The proposed model was constructed with TSMC 0.18-μm standard CMOS process.","PeriodicalId":250788,"journal":{"name":"2018 International Conference on Computing and Network Communications (CoCoNet)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134579594","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
Unified IoT Platform Architecture Platforms as Major IoT Building Blocks 统一的物联网平台架构平台作为物联网的主要构建模块
2018 International Conference on Computing and Network Communications (CoCoNet) Pub Date : 2018-08-01 DOI: 10.1109/COCONET.2018.8476881
D. Mijić, E. Varga
{"title":"Unified IoT Platform Architecture Platforms as Major IoT Building Blocks","authors":"D. Mijić, E. Varga","doi":"10.1109/COCONET.2018.8476881","DOIUrl":"https://doi.org/10.1109/COCONET.2018.8476881","url":null,"abstract":"Ad-hoc approaches to building Internet of Things (IoT) solutions in the past had mostly failed. The sheer complexity of managing a mesh of distributed interconnected devices was unbearable. The appearance of IoT platforms has enabled the proliferation of successful products in this area. A full-scale, comprehensive IoT platform embraces the following three major capabilities: application enablement, data storage, and connectivity management. This paper presents an overview of technologies and techniques to realize such an IoT platform. The focus is on the platform that unifies edge and cloud computing. The paper refers to Mainflux as such reference example. Mainflux serves as a software infrastructure, that is built around the microservices architectural style, for development of IoT solutions, and deployment of intelligent products. It is conceived as an opensource project, and is already used in production settings. Therefore, the paper describes a real product, whose chosen set of methods, technologies and techniques are feasible and effective in crafting IoT systems. The Mainflux project contains an extensive set of automated tests, that could serve as an additional documentation regarding its usage.","PeriodicalId":250788,"journal":{"name":"2018 International Conference on Computing and Network Communications (CoCoNet)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133599581","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: 12
Context Aware Virtual Assistant with Case-Based Conflict Resolution in Multi-User Smart Home Environment 多用户智能家居环境中基于案例的冲突解决情境感知虚拟助手
2018 International Conference on Computing and Network Communications (CoCoNet) Pub Date : 2018-08-01 DOI: 10.1109/COCONET.2018.8476898
Bauyrzhan Ospan, Nawaz Khan, J. Augusto, M. Quinde, Kenzhegali Nurgaliyev
{"title":"Context Aware Virtual Assistant with Case-Based Conflict Resolution in Multi-User Smart Home Environment","authors":"Bauyrzhan Ospan, Nawaz Khan, J. Augusto, M. Quinde, Kenzhegali Nurgaliyev","doi":"10.1109/COCONET.2018.8476898","DOIUrl":"https://doi.org/10.1109/COCONET.2018.8476898","url":null,"abstract":"In this work we will examine and develop a Virtual Assistant that is used as a control interface of the Smart Home environment in the Middlesex University laboratory. Specifically, the system is constructed to give multiple users an ability to control appliances by voice or text commands. The main purpose of the research is to create an user friendly interface with adaptive context aware Case-Based conflict resolution system. In addition, Artificial Neural Networks were used to classify user inputs to create a natural dialogue. Further, a set of random double-blinded evaluation tests were established with general positive results in terms of interface justification.","PeriodicalId":250788,"journal":{"name":"2018 International Conference on Computing and Network Communications (CoCoNet)","volume":"352 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116534037","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: 19
[Front matter] (前页)
2018 International Conference on Computing and Network Communications (CoCoNet) Pub Date : 2018-08-01 DOI: 10.1109/coconet.2018.8476896
{"title":"[Front matter]","authors":"","doi":"10.1109/coconet.2018.8476896","DOIUrl":"https://doi.org/10.1109/coconet.2018.8476896","url":null,"abstract":"","PeriodicalId":250788,"journal":{"name":"2018 International Conference on Computing and Network Communications (CoCoNet)","volume":"367 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116538068","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
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