2022 International Conference on Advancements in Smart, Secure and Intelligent Computing (ASSIC)最新文献_第3页

Design of an IoT-Enabled Smart Safety Device 基于物联网的智能安全设备设计

2022 International Conference on Advancements in Smart, Secure and Intelligent Computing (ASSIC) Pub Date : 2022-11-19 DOI: 10.1109/ASSIC55218.2022.10088332

P. Yakaiah, P. Bhavani, B. Kumar, Srija Masireddy, Peter Elari

引用次数: 0

A chatbot for Academic advising 学术咨询的聊天机器人

2022 International Conference on Advancements in Smart, Secure and Intelligent Computing (ASSIC) Pub Date : 2022-11-19 DOI: 10.1109/ASSIC55218.2022.10088317

Reoof Al-Jedaie, Reem Al-Hindy, Hanan Al-Onazi, Elham Kariri, Fatma Masmoudi

引用次数: 0

Multi-level feature learning approaches for video recommendation 面向视频推荐的多层次特征学习方法

2022 International Conference on Advancements in Smart, Secure and Intelligent Computing (ASSIC) Pub Date : 2022-11-19 DOI: 10.1109/ASSIC55218.2022.10088325

H. K. Bhuyan, Biswajit Brahma, P. Rao

{"title":"Multi-level feature learning approaches for video recommendation","authors":"H. K. Bhuyan, Biswajit Brahma, P. Rao","doi":"10.1109/ASSIC55218.2022.10088325","DOIUrl":"https://doi.org/10.1109/ASSIC55218.2022.10088325","url":null,"abstract":"This paper addresses to assess the relevant visual strength between two videos based on a great deal with image content analysis. After custom pre-trained image and video content using multi-level feature learning model, video features are widely applied to image and video representation. Although, certain features are task-specific, two videos cannot be the best for all types of work. Additionally, for various reasons like ownership, including anonymity, people only have access to predetermined video functions. Refined video features can be reused without returning to the original video information. For example, an affine transformation is accomplished by reimagining a known function into a new space. We proposed to use maximizing the re-learning method for video recommendation. Instead of creating more training data, we suggested a modern data enhancement approach for a frame-by-frame and video-by-video basis task. Extensive testing of our proposed model is considered using real time data set and found the efficacy of the process and lends strong proof to the performance of video recommendation.","PeriodicalId":441406,"journal":{"name":"2022 International Conference on Advancements in Smart, Secure and Intelligent Computing (ASSIC)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133952930","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

Interaction through Computer Vision Air Canvas 通过计算机视觉空气画布进行交互

2022 International Conference on Advancements in Smart, Secure and Intelligent Computing (ASSIC) Pub Date : 2022-11-19 DOI: 10.1109/ASSIC55218.2022.10088318

B. A. Kumar, T. Vinod, M. Rao

{"title":"Interaction through Computer Vision Air Canvas","authors":"B. A. Kumar, T. Vinod, M. Rao","doi":"10.1109/ASSIC55218.2022.10088318","DOIUrl":"https://doi.org/10.1109/ASSIC55218.2022.10088318","url":null,"abstract":"The material and presenting it on the screen using the application is a part of the interaction that is possible through the computer vision air canvas. Having the various colours present is also a part of this interaction. The varied colour schemes make it easier for the user to identify things and provide greater clarity. Accessing the built-in web camera on the laptop or the independent web camera that was installed is required to accomplish this. This contributes to a better overall knowledge and provides the user with a more concise description of the air. In addition to that, this is utilised for text visualisation and drawing for the audience. This has the potential to serve as a stepping stone for more innovative streams and material that is engaging in the future. Simply moving your finger through the air will allow you to draw your creative ideas, which does make use of computer vision technology. In the respective paper, we construct a screen through which the information or text that we draw by waving is displayed appropriately on the screen for which is done by employing shooting the motion of finger using internet digital camera. This is accomplished in a manner similar to how a touch screen works. The detection of the colours, tracking of the marker, and establishment of the coordinates are the objectives of this particular piece of writing.","PeriodicalId":441406,"journal":{"name":"2022 International Conference on Advancements in Smart, Secure and Intelligent Computing (ASSIC)","volume":"85 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123393743","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

Blood Cell Detection and Counting via Deep Learning 基于深度学习的血细胞检测和计数

2022 International Conference on Advancements in Smart, Secure and Intelligent Computing (ASSIC) Pub Date : 2022-11-19 DOI: 10.1109/ASSIC55218.2022.10088344

Achal Narsale, Sakshi Nalwade, Medha Badgire, Sandhyarani Survase, Chetan. N. Aher

引用次数: 0

Hibiscus Flower Health Detection to Produce Oil Using Convolution Neural Network 用卷积神经网络检测芙蓉花的健康状况

2022 International Conference on Advancements in Smart, Secure and Intelligent Computing (ASSIC) Pub Date : 2022-11-19 DOI: 10.1109/ASSIC55218.2022.10088339

Devesh Kumar Srivastava, Dharmendra Narayan Jha

引用次数: 0

Wireless Energy by Flexible Antenna and Conversion of Energy from RF to DC 柔性天线的无线能量和射频到直流的能量转换

2022 International Conference on Advancements in Smart, Secure and Intelligent Computing (ASSIC) Pub Date : 2022-11-19 DOI: 10.1109/ASSIC55218.2022.10088348

Syed Naushad Ali Hashmi, Anurag Saxena, Niraj Kumar Sharma, Raghav C Dwivedi, K. Kushwaha

{"title":"Wireless Energy by Flexible Antenna and Conversion of Energy from RF to DC","authors":"Syed Naushad Ali Hashmi, Anurag Saxena, Niraj Kumar Sharma, Raghav C Dwivedi, K. Kushwaha","doi":"10.1109/ASSIC55218.2022.10088348","DOIUrl":"https://doi.org/10.1109/ASSIC55218.2022.10088348","url":null,"abstract":"In the method of power transmission electrical energy can we transmitted without any wire that is also known as wireless transmission process, which is used for transmitted the power from one place to another without using any wired material which is a good conductor of electricity. This power or energy can be received by flexible antenna. The design and simulation of flexible antenna is done on CST Software at 12.57 GHz resonant frequency. For designing the antenna, It can be used different materials like glass epoxy, leather, etc but in this research textile material is used which is having 1.7 dielectric constant. Since, the wireless transmission of electrical energy is difficult so the textile antenna is good candidate for this. The RF Energy that comes from the flexible antenna can be converted into DC signal by the use of rectifier circuit. All the relative information like the parameters of the rectenna are mentioned and explain in this paper by the use of graphical representation. The implementation of bridge rectifier circuit can be done on PCB (Printed Circuit Board).","PeriodicalId":441406,"journal":{"name":"2022 International Conference on Advancements in Smart, Secure and Intelligent Computing (ASSIC)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125413506","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

Medical Image Segmentation Using Deep Learning 基于深度学习的医学图像分割

2022 International Conference on Advancements in Smart, Secure and Intelligent Computing (ASSIC) Pub Date : 2022-11-19 DOI: 10.1109/ASSIC55218.2022.10088359

S. Navya, P. Nishitha, V. Hema

引用次数: 0

Computer Vision Lip Reading(CV) 计算机视觉唇读(CV)

2022 International Conference on Advancements in Smart, Secure and Intelligent Computing (ASSIC) Pub Date : 2022-11-19 DOI: 10.1109/ASSIC55218.2022.10088386

Somireddy Sumanth, Kadiyam Jyosthana, Jonnala Karthik Reddy, G. Geetha

引用次数: 0

An Analysis of Image Quality Enhancement Techniques in an Optical Based Satellite Image 基于光学卫星图像的图像质量增强技术分析

2022 International Conference on Advancements in Smart, Secure and Intelligent Computing (ASSIC) Pub Date : 2022-11-19 DOI: 10.1109/ASSIC55218.2022.10088326

S. Prasad, Kiran Dasari, B. Kumar, B. Sridhar, G. Supriya, Kummari Akash

{"title":"An Analysis of Image Quality Enhancement Techniques in an Optical Based Satellite Image","authors":"S. Prasad, Kiran Dasari, B. Kumar, B. Sridhar, G. Supriya, Kummari Akash","doi":"10.1109/ASSIC55218.2022.10088326","DOIUrl":"https://doi.org/10.1109/ASSIC55218.2022.10088326","url":null,"abstract":"the main objective of this work is to improve the quality of the images that are captured by satellites from the outer region of the Earth. Here the satellite image of Vishakhapatnam is being considered. Generally, satellite images are hugely affected due to some severe climatic conditions i.e.; the image is caught up by a cloud of fine dust or smoke, which causes a cloudy appearance on the image and hence reduces the visibility. It is nothing but the Haze or fog which generally occurs in winter and rainy seasons. It is very important to capture the image in order to keep a record of information which will be used further for future applications. There are a number of parameters for determining the quality of an image, but we can never get the ideal image. So, our aim is to get the best possible image with a minimum number of errors. In order to get a good and useful image, the image needs to undergo several methods. Hence, we use Image processing which transforms an image into its digital form and performs certain operations on the image to get some useful information from it. Here, the 2D images are treated as signals while applying certain processing methods. In this analysis, an image goes under quality metrics by testing and comparing with the given original image. The original image that is captured gets compared with the images that are produced at each level in the quality process. The main aim is to remove Haze present in the satellite image and to study the impact of every process discussed in the workflow with respect to PSNR values and visual comparison. The result obtained from the workflow is very promising. Thus, enabling the analyst to perform different processing for different applications.","PeriodicalId":441406,"journal":{"name":"2022 International Conference on Advancements in Smart, Secure and Intelligent Computing (ASSIC)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125688374","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