检索结果-内蒙古大学图书馆

2023 IEEE International Conference on Innovative Data Communication Technologies and Application, ICIDCA 2023

作者： sangeetha, A. Krishnan, R. santhana Kumar, G. Praveen Julie, E. Golden Ganesh, R. Karthik Robinson, Y. Harold PSNA College of Engineering and Technology Department of Information Technology Dindigul India SCAD College of Engineering and Technology Department of Electronics and Communication Engineering Tirunelveli India V.S.B Engineering College Department of Information Technology Karur India Anna University Department of Computer Science and Engineering Regional Campus Tirunelveli India SCAD College of Engineering and Technology Department of Computer Science and Engineering Tirunelveli India Francis Xavier Engineering College Department of Computer Science and Engineering Tirunelveli India

ISBN: (纸本)9798350397208

swimming has become one of the major routines nowadays among people. People mostly use swimming pools for exercise or recreation. According to statistics one hour of swimming burns 30% more calories than one hour of running. so many people prefer swimming to keep their body fit. but few people use the swimming pool without having proper swimming skills. This leads to loss of their lives. Around the world nearly 42 people drown per hour. The pH level of water in the swimming pool should be between 7.4 to 7.6. The high pH water can cause rashes on human skin and scaling on pool equipment. Low pH causes eye irritation, skin irritation etc. Hence, a smart system is required to monitor the pH level of the water and to track the condition of the swimmers inside the pool. so with the support of few sensors and Arduino, an automatic swimming pool monitoring system, which is capable of sensing the pH level of the water available in swimming pool and condition of the swimmers is developed. The proposed system will also update all the observed status in the cloud with the support of the Internet facility. © 2023 IEEE.

关键词： swimming pools

来源：评论

学校读者我要写书评

暂无评论

New power-aware multicast algorithm for mobile Ad hoc networks

引用

IEEE Potentials 2013年第2期32卷 32-35页

作者： varaprasad, G. Wahidabanu, R.s.D. Department of Computer Science and Engineering B.M.S. College of Engineering Bangalore 560 019 India Dept of Electronics and Communication Engineering Government College of Engineering Salem 636 036 India

A mobile ad hoc network (MANET) is a decentralized network that consists of mobile nodes. Each node operates with the limited battery power to forward the data packets from the source to a group of the nodes. In a MANET, multicast is a very useful communication system for group-oriented applications, where one-tomany propagations are needed frequently in critical situations. This article presents a new power-aware multicasting algorithm for MANETs. Here, it uses the residual battery energy for the multicasting from the source to a group of destinations. The proposed model increases the lifetime of the nodes and the network lifetime. The simulation work shows better results in terms of the node lifetime and network lifetime as compared to other models, ODMRP and AMRoute. If the group size is 12, then the proposed model has kept the nodes alive for 8,100 s, whereas the ODMRP and AMRoute models have kept the nodes alive for 7,400 s and 6,400 s respectively. © 1988-2012 IEEE.

关键词： Mobile ad hoc networks

来源：评论

学校读者我要写书评

暂无评论

A new biometric using sclera vein recognition for human identification

A new biometric using sclera vein recognition for human iden...

引用

IEEE International Conference on Computational Intelligence and Computing Research

作者： A. suganya M. sivitha Dept. of Computer Science and Engineering V.S.B Engineering College Karur India

biometrics is a technique of identity verification that is based on the principle of measurable physiological characteristics like vein patterns from sclera region. sclera vein is a new biometric recognition method for human identification. sclera vessel pattern's images are saturated and the arrangement of vessel patterns is multi layered and also it is quite complex to extract the features of vein from sclera. In order eliminate high frequency noise components present in sclera, low pass filter is used. To extract the features, a set of vessel segments combine to create Y shaped branches often belonging to same sclera layer. Mapping scheme is based on Y shaped structure in the sclera that is observed to be more stable feature and is used to efficiently eliminate the most unlikely matches. The observational result shows that the proposed method can dramatically provide more secure authentication without compromising the recognition accuracy.

关键词：

来源：评论

学校读者我要写书评

暂无评论

High level performance in multiple relay networks

High level performance in multiple relay networks

引用

IEEE International Conference on Computational Intelligence and Computing Research

作者： v. Eswaramurthy A. P. v. Raghavendra Dept. of Computer Science and Engineering V.S.B Engineering College Karur India

A relay network is a broad class of network topology commonly used in networks, where the source and destination are interconnected by means of a some nodes. In such a network the source and destination cannot transmit data each other directly, because the distance between the source and destination is greater than the transmission range between them, hence the demand for intermediate node(s) to relay. Relay nodes in applying network coding, follow the decode-and-forward protocol. In proposed work, we consider a peer-to-peer (P2P) network in which peers receive and forward a linear combination of the exogenous data packets. To check out the integrity of the received packets, a key signature vector are generated at the source node and broadcasted to all nodes where it is used to check the integrity of the received packets. There are several information theoretic algorithms for mitigating falsified data injection effects are proposed. The network modeling used in these works is composed of a single source, multiple intermediate nodes which utilize network coding. We consider a multiple access relay network where multiple sources send independent data to a single destination through multiple relays, which may interject falsified data into the network. To detect the malevolent relays and dispose (efface) data from them, trace bits are embedded in the information data at each source node.

关键词： Peer-to-peer computing Relay networks (telecommunications) Reliability Decoding Network coding security

来源：评论

学校读者我要写书评

暂无评论

Transparent Ensemble Deep Learning for Intrusion Detection in Industrial Internet of Things 1

Transparent Ensemble Deep Learning for Intrusion Detection i...

引用

1st International Conference on Innovations in Communications, Electrical and computer engineering, ICICEC 2024

作者： sneha, M. Prasad, G.R. B.M.S College of Engineering Computer Science and Engineering Bengaluru India

ISBN: (纸本)9798350376517

The growing complexity and scale of Industrial Internet of Things (IIoT) networks have made them increasingly vulnerable to cyber-attacks, underscoring the need for reliable and precise Intrusion Detection systems (IDs). However, many existing IDs solutions face challenges such as high false-positive rates, limited detection accuracy, and a lack of transparency in their decision-making processes, which hinders their practical application. This work presents an advanced IDs based on ensemble deep learning specifically designed for IIoT networks to overcome these limitations. The suggested system integrates a number of deep learning models, such as Artificial Neural Networks (ANNs), Convolutional Neural Networks (CNNs), and LAssO, to harness their unique advantages and enhance detection capabilities. Moreover, the system integrates explainability methods, such as Random Forest, linear regression, and Local Interpretable Model-agnostic Explanations (LIME), to offer clear and interpretable perspectives on the process of making decisions. Intrusion Detection system (IDs) proposed in this study is trained and tested using the ToN-IoT dataset, a comprehensive IIoT dataset that encompasses diverse network traffic data and various attack scenarios. Experimental findings indicate that the ensemble model notably improves detection accuracy while lowering false-positive rates compared to traditional baseline models. The incorporation of Random Forest, linear regression, and LIME enhances the system's transparency by helping to elucidate the role of individual features in the forecasts of the model, thereby making the system more interpretable additionally reliable. This research advances the field by introducing a scalable, precise, and explainable IDs for IIoT networks, with strong potential to enhance cybersecurity in industrial settings. © 2024 IEEE.

关键词： Network intrusion

来源：评论

学校读者我要写书评

暂无评论

One-shot Approach for Multilingual Classification of Indic scripts

One-Shot Approach for Multilingual Classification of Indic S...

引用

2022 International Conference on Innovative Trends in Information Technology, ICITIIT 2022

作者： Mittur, Ajay shankar, Aravindh R Narasimhan, Adithya B.M.S. College of Engineering Computer Science and Engineering Bengaluru India

ISBN: (纸本)9781665406703

The use of multiple languages with different scripts is a common theme in India. There is an emerging need to digitise documents that may be handwritten or available solely as images. This necessitates a system for multilingual classification of different Indic scripts and the subsequent character recognition into digitised standards such as Unicode. However, a learning system for various languages with multiple character combinations can be computationally expensive and prove arduous with a dearth of available data. In this paper, the one-shot learning approach to the optical character recognition of different languages is explored, where there is a need to accurately classify the character given only one example of every additional class introduced. siamese neural networks are used for learning and to tune a network to work with entirely new, unseen data. Compelling results are attained in the classification of characters in nine different Indian languages using this approach with an accuracy ranging from 77.72 to 91.83 across the Indic languages in the best case. © 2022 IEEE.

关键词： Optical character recognition

来源：评论

学校读者我要写书评

暂无评论

Translation of Architectural sketch Images to building Images Using CycleGAN

Translation of Architectural Sketch Images to Building Image...

引用

2022 IEEE North Karnataka subsection Flagship International Conference, NKCon 2022

作者： Divya, I.b. sooda, Kavitha B.M.S. College of Engineering Computer Science Engineering Department Bengaluru India B.M.S. College of Engineering Computer Sciences Engineering Department Bengaluru India

ISBN: (纸本)9781665453424

sketching and drawing is the hallmark of an architect's toolkit. Architect needs to somehow show his idea from his sketch and also designing a sketch image from a building image will help the architects to record the different designs. Hence, using image-to-image translation strategies, it is possible to convert architectural vector designs into actual building images and vice versa. Image-to-image translation is becoming more popular as a result of advancements in information technology and computer vision. In a class of vision and graphic problems known as 'image-to-image translation', the objective is to discover the relationship between an output image and an input image. The main objective of the model in this study is to convert architectural sketches into building images and vice versa using Image to image translation on unpaired image datasets to help reduce the communication gap between architects and their clients. A suitable GAN model called Cycle GAN has been used to train on collected unpaired image dataset. Utilizing the trained model, a web application is created that is open for everyone. A Python library called flask is used to create the web application's front end in order to provide a straight-forward and user-friendly interface. © 2022 IEEE.

关键词： Deep learning

来源：评论

学校读者我要写书评

暂无评论

Dynamic group key authentication mechanism for data sharing in network

Dynamic group key authentication mechanism for data sharing ...

引用

IEEE International Conference on Computational Intelligence and Computing Research

作者： P. suganya M. sivitha Dept. of Computer Science and Engineering V.S.B Engineering College Karur India

In the network data sharing is an important functionality. In many organizations data owners store their data into the storage server which can certainly share data with other followers (users). Earlier approaches either unreasonably expose the uniqueness of a data owner to the untrusted server or any unexclusive vouchers, or innovate substantial expenses on confirmation metadata to preserve concealment. In the proposed system, group manager is introduced and takes charge of user registration, and enlightening the real uniqueness of a dispute data proprietor. Group manager will generate a key and provide to the user, who want to access the data from the storage server. Consequently proposed method reduces the computation overhead and provides high performance due to revoke verification procedure.

关键词： servers Authentication Access control Ciphers Public key cryptography

来源：评论

学校读者我要写书评

暂无评论

Prediction of Crop Fertilizer Consumption 4

Prediction of Crop Fertilizer Consumption

引用

4th International Conference on Computing, Communication Control and Automation, ICCUbEA 2018

作者： Hampannavar, Krutika bhajantri, vijay Totad, shashikumar G. B v Bhoomaraddi College of Engineering and Technology Dept. of Computer Science and Engineering Hubli India

ISBN: (纸本)9781538652572

Agriculture is the major factor contributing to Indian Economy. According to the statistics its GDP sector composition is 17.9%. India is the second larger producer of agricultural products. In order to produce more agricultural products without any wastage, technical advancements are required in this domain. In research of identification of nitrogen deficiency and prediction of fertilizers consumption by chilly, the images of chilly was captured at two stages. Leaf part of plant is prime factor in identification of nitrogen deficiency. During identification of deficiency various features like texture feature, area of the leaf etc of leaf image are extracted. Feature Extraction is the main key for the identification of deficiency of nitrogen. The farmers usually have little control over the usage of fertilizers. There is need for proper guidance for optimal usage of these fertilizers and is required by farmers in order to get more yields and prevent wastage. Research works carried out so far only identify the nutrient deficiency and disease detection. The proposed work identifies the nitrogen deficiency in chilly, determines the area of region of deficient region and predicts the amount of fertilizer consumption by these deficient plants. Thus the identification of nutrient deficiency is helpful to farmer for proper monitoring of crop growth and optimum usage of fertilizers. © 2018 IEEE.

关键词： Crops

来源：评论

学校读者我要写书评

暂无评论

Detecting Depression in social Media Posts Using Machine Learning 2nd

Detecting Depression in Social Media Posts Using Machine Lea...

引用

2nd International Conference on Recent Trends in Image Processing and Pattern Recognition, RTIP2R 2018

作者： biradar, Abhilash Totad, s.G. Department of Computer Science B.V.B College of Engineering Hubli580031 India

ISBN: (纸本)9789811391866

The utilization of social Networking sites (sNs) like Twitter is expanding quickly and particularly by the more youthful age. The profit capacity of sNs enables us to express their interests, emotions and offer their day by day schedule. sNs sites such as Twitter allow for constant investigation of user behaviour. such examples are important for the psychological research network to comprehend the periods and area of most prominent interest. Worlds fourth biggest disease depression has turned out to be a standout amongst the most huge research subject. We propose a system which uses tweets as source of data and sentistrength sentiment analysis to create a training data for our system and a back Propagation Neural Network (bPNN) model to classify the given tweets into depressed or not depressed categories. © 2019, springer Nature singapore Pte Ltd.

关键词： sentiment analysis

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：