International Journal on Smart Sensing and Intelligent Systems最新文献_第2页

Study of structural and morphological properties of RF-sputtered SnO2 thin films and their effect on gas-sensing phenomenon 射频溅射SnO2薄膜的结构和形貌特性及其对气敏现象的影响研究

IF 1.2

International Journal on Smart Sensing and Intelligent Systems Pub Date : 2023-01-01 DOI: 10.2478/ijssis-2023-0003

A. Arora, S. Mahajan, Maya Verma, D. Haridas

引用次数: 2

Regional-Scale Analysis of Vegetation Dynamics Using Satellite Data and Machine Learning Algorithms: A Multi-Factorial Approach 利用卫星数据和机器学习算法的区域尺度植被动态分析:一种多因子方法

International Journal on Smart Sensing and Intelligent Systems Pub Date : 2023-01-01 DOI: 10.2478/ijssis-2023-0013

Abolfazl Abdollahi, Biswajeet Pradhan, Abdullah Alamri

引用次数: 0

Utilizing augmented reality technology for teaching fundamentals of the human brain and EEG electrode placement 利用增强现实技术教授人脑基础知识和脑电图电极放置

IF 1.2

International Journal on Smart Sensing and Intelligent Systems Pub Date : 2022-05-20 DOI: 10.21307/ijssis-2022-0005

Charlee Kaewrat, Yunyong Punsawad

引用次数: 0

Smart greenhouses using internet of things: case study on tomatoes 使用物联网的智能温室:番茄案例研究

IF 1.2

International Journal on Smart Sensing and Intelligent Systems Pub Date : 2022-01-01 DOI: 10.2478/ijssis-2022-0019

S. Juneidi

{"title":"Smart greenhouses using internet of things: case study on tomatoes","authors":"S. Juneidi","doi":"10.2478/ijssis-2022-0019","DOIUrl":"https://doi.org/10.2478/ijssis-2022-0019","url":null,"abstract":"Abstract Many practices are available to apply to smart agricultural methods, defended as allowing monitoring and controlling the environment necessary for the growth of many crops. Due to the random conditions affecting crop growing and cultivation, the idea of greenhouse use is emerging, as a way of managing all variables affecting growth and production of crops. Photosynthesis is the most important process for plants, with three main inputs: water, light, and carbon dioxide. Atmospheric temperature and humidity, soil richness, and plant nutrition are also vital for crop production. This research is concerned with controlling the environment of plants and plant nutrition. The Internet of Things (IoT) is proposed in this research as a solution to control and to manage all of these variables. Most important was to find a method that provides perfect analysis and control of a suitable environment for crops in greenhouses. Smart management of variables to manage crops is becoming a necessity. With IoT we can keep an eye on and manage all variables to grow crops in the best conditions for crop production. This article will discuss the kinds of variables that play important roles in growing a good crop. The next issue is how to retrieve these variables as big data, using sensors; how to save them to the cloud for processing; and then how to create actions according to readings of variables and predefined interdependent relations, with the main aim of better production in smart greenhouses.","PeriodicalId":45623,"journal":{"name":"International Journal on Smart Sensing and Intelligent Systems","volume":"15 1","pages":""},"PeriodicalIF":1.2,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42447018","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

Eigen-structure problem optimization for multirate, multi-input multi-output systems applied to a roll rate autopilot 用于滚转率自动驾驶仪的多速率多输入多输出系统的特征结构优化

IF 1.2

International Journal on Smart Sensing and Intelligent Systems Pub Date : 2022-01-01 DOI: 10.2478/ijssis-2022-0008

A. Roosta, Alireza Soltanimehr

引用次数: 0

Fast fourier transform based new pooling layer for deep learning 基于快速傅立叶变换的深度学习新池化层

IF 1.2

International Journal on Smart Sensing and Intelligent Systems Pub Date : 2022-01-01 DOI: 10.2478/ijssis-2022-0003

Aqeela Hamad

{"title":"Fast fourier transform based new pooling layer for deep learning","authors":"Aqeela Hamad","doi":"10.2478/ijssis-2022-0003","DOIUrl":"https://doi.org/10.2478/ijssis-2022-0003","url":null,"abstract":"Abstract Convolution is considered most significant layer in deep learning because it can extract best features of data through the network but it may result in huge volume of data. This problem can be solved by using pooling. In this paper, A novel pooling method is proposed by using discrete Fourier transform (DFT), this method is used DFT technique to transform the data from spatial domain into frequency domain to preserve the most important information from the details coefficients, where the details information of the image is less significant, therefore it can be discarded to down sample the size of dimensions. Its effect will be great with advantage of reducing the eliminated details information as compared with other standard methods. After applying DFT, the most significant coefficients, which represent most important features are cropped while less important details will be discarded then the data are reconstructed by applying inverse DF, therefore the high quality of features are extracted, which solve the problem of losing significant information during the pooling layer. Different methods are proposed based on the scenario of using DFT. The proposed methods are tested by extracting pooled image then the original images were retrieved using only the pooled images. Then the retrieved images are compared with original images by using different measures such as SNR, correlation and SSIM. Then the proposed layers used for image classification for two different datasets. The results proved that the proposed methods outperformed standard methods, thus it can be used for deep learning application.","PeriodicalId":45623,"journal":{"name":"International Journal on Smart Sensing and Intelligent Systems","volume":" ","pages":""},"PeriodicalIF":1.2,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45653646","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

An overview of DLMS/COSEM and g3-plc for smart metering applications DLMS/COSEM和g3 plc在智能计量应用中的概述

IF 1.2

International Journal on Smart Sensing and Intelligent Systems Pub Date : 2022-01-01 DOI: 10.2478/ijssis-2022-0011

Thobekile J. Ngcobo, Farzad Ghayoor

引用次数: 1

The ordinary negative changing refractive index for estimation of optical confinement factor 用普通的负变化折射率估计光约束系数

IF 1.2

International Journal on Smart Sensing and Intelligent Systems Pub Date : 2022-01-01 DOI: 10.2478/ijssis-2022-0009

A. S. Abdullah, Sadeq Adnan Hbeeb

引用次数: 1

A novel optimal approach for control law of multi-rate systems with different rate operations 具有不同速率操作的多速率系统控制律的一种新的优化方法

IF 1.2

International Journal on Smart Sensing and Intelligent Systems Pub Date : 2022-01-01 DOI: 10.21307/ijssis-2022-0001

A. Roosta, Alireza Soltanimehr

{"title":"A novel optimal approach for control law of multi-rate systems with different rate operations","authors":"A. Roosta, Alireza Soltanimehr","doi":"10.21307/ijssis-2022-0001","DOIUrl":"https://doi.org/10.21307/ijssis-2022-0001","url":null,"abstract":"Abstract The main purpose of this study is to propose a method to achieve optimal response and performance of the multi rate systems in existence of different sampling rates and to avoid data losses in such systems. In this paper, a new approach based on the multi-rate digital system is proposed. Based on this method, we will be able to maintain optimal performance of these systems without losing data, in addition to establishing connections between subsystems with different sampling rates. By the proposed method, not only the effect of different sampling rates in multi-rate systems is ignored, but also, we can connect subsystems with different rate operations without compromising system performance and data loss which simplified system design and sensor selection by the digital system designers. This means the designer can choose any sensor without concerning about the sampling rate and the operation rate of the system and matching them together. Finally, a guided missile with different sampling rates between the seeker, autopilot, guidance law and the output feedback are simulated and its effective performance in pursuit, hitting and smooth motion toward the target in a motion scenario is shown.","PeriodicalId":45623,"journal":{"name":"International Journal on Smart Sensing and Intelligent Systems","volume":"15 1","pages":"1 - 10"},"PeriodicalIF":1.2,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47387138","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

A novel approach to capture the similarity in summarized text using embedded model 一种利用嵌入模型获取摘要文本相似性的新方法

IF 1.2

International Journal on Smart Sensing and Intelligent Systems Pub Date : 2022-01-01 DOI: 10.2478/ijssis-2022-0002

Asha Rani Mishra, V. K. Panchal

引用次数: 0