检索结果-内蒙古大学图书馆

Hybrid Multi-Strategy Aquila Optimization with Deep Learning Driven Crop Type Classification on Hyperspectral Images

引用

computer Systems Science & engineering 2023年第10期47卷 375-391页

作者： Sultan Alahmari Saud Yonbawi Suneetha Racharla ELaxmi Lydia Mohamad Khairi Ishak Hend Khalid Alkahtani Ayman Aljarbouh Samih M.Mostafa King Abdulaziz City for Science and Technology P.O Box 6086Riyadh 11442Saudi Arabia Department of Software Engineering College of Computer Science and EngineeringUniversity of JeddahJeddahSaudi Arabia Department of AIML Aditya Engineering CollegeSurempallemAndhra PradeshIndia Department of Computer Science and Engineering Vignan’s Institute of Information TechnologyVisakhapatnam530049India School of Electrical and Electronic Engineering Engineering CampusUniversiti Sains Malaysia(USM)Nibong TebalPenang14300Malaysia Department of Information Systems College of Computer and Information SciencesPrincess Nourah Bint Abdulrahman UniversityP.O.Box 84428Riyadh 11671Saudi Arabia Department of Computer Science University of Central AsiaNaryn722600Kyrgyzstan Faculty of Computers and Information South Valley UniversityQena83523Egypt

Hyperspectral imaging instruments could capture detailed spatial information and rich spectral signs of observed *** spatial information and spectral signatures of hyperspectral images(HSIs)present greater potential for detecting and classifying fine *** accurate classification of crop kinds utilizing hyperspectral remote sensing imaging(RSI)has become an indispensable application in the agricultural *** is significant for the prediction and growth monitoring of crop *** the deep learning(DL)techniques,Convolution Neural Network(CNN)was the best method for classifying HSI for their incredible local contextual modeling ability,enabling spectral and spatial feature *** article designs a Hybrid Multi-Strategy Aquila Optimization with a Deep Learning-Driven Crop Type Classification(HMAODL-CTC)algorithm *** proposed HMAODL-CTC model mainly intends to categorize different types of crops on *** accomplish this,the presented HMAODL-CTC model initially carries out image preprocessing to improve image *** addition,the presented HMAODL-CTC model develops dilated convolutional neural network(CNN)for feature *** hyperparameter tuning of the dilated CNN model,the HMAO algorithm is ***,the presented HMAODL-CTC model uses an extreme learning machine(ELM)model for crop type classification.A comprehensive set of simulations were performed to illustrate the enhanced performance of the presented HMAODL-CTC *** comparison studies reported the improved performance of the presented HMAODL-CTC algorithm over other compared methods.

关键词： Crop type classification hyperspectral images agricultural monitoring deep learning metaheuristics

来源：评论

学校读者我要写书评

暂无评论

A multi-Layer CNN-GRUSKIP model based on transformer for spatial − TEMPORAL traffic flow prediction

arXiv

引用

arXiv 2025年

作者： Ata, Karimeh Ibrahim Mohammad Hassan, Mohd Khair Ismaeel, Ayad Ghany Al-Haddad, Syed Abdul Rahman Alquthami, Thamer Alani, Sameer Department of Electrical and Electronic Engineering Faculty of Engineering Universiti Putra Malaysia UPM Serdang Selangor Darul Ehsan43400 Malaysia Department of Computer and Communication Systems Engineering Universiti Putra Malasia Selangor Seri Kembangan43400 Malaysia Electrical and Computer Engineering Department King Abdulaziz University Jeddah21589 Saudi Arabia Computer Technology Engineering College of Engineering Technology Al-Kitab University Iraq Computer Center University of Anbar Iraq

Traffic flow prediction remains a cornerstone for intelligent transportation systems (ITS), influencing both route optimization and environmental efforts. While Recurrent Neural Networks (RNN) and traditional Convolutional Neural Networks (CNN) offer some insights into the spatial–temporal dynamics of traffic data, they’re often limited when navigating sparse and extended spatial–temporal patterns. In response, the CNN-GRUSKIP model emerges as a pioneering approach. Notably, it integrates the GRU-SKIP mechanism, a hybrid model that leverages the Gate Recurrent Unit’s (GRU) capabilities to process sequences with the’SKIP’ feature’s ability to bypass and connect longer temporal dependencies, making it especially potent for traffic flow predictions with erratic and extended patterns. Another distinctive aspect is its non-standard 6-layer CNN, meticulously designed for in-depth spatiotemporal correlation extraction. The model comprises (1) the specialized CNN feature extraction, (2) the GRU-SKIP enhanced long-temporal module adept at capturing extended patterns, (3) a transformer module employing encoder-decoder and multi-attention mechanisms to hone prediction accuracy and trim model complexity, and (4) a bespoke prediction module. When tested against real-world datasets from California’s Caltrans Performance Measurement System (PeMS), specifically PeMS districts 4 and 8, the CNN-GRUSKIP consistently outperformed established models such as ARIMA, Graph Wave Net, HA, LSTM, STGCN, and APTN. With its potent predictive prowess and adaptive architecture, the CNN-GRUSKIP model stands to redefine ITS applications, especially where nuanced traffic dynamics are in play. © 2025, CC0.

关键词： Convolutional neural networks

来源：评论

学校读者我要写书评

暂无评论

Harmonic Analysis of SEPIC DC-DC Converter

Harmonic Analysis of SEPIC DC-DC Converter

引用

Junior Conference on Lighting (Lighting)

作者： Gergana Vacheva Plamen Stanchev Nikolay Hinov Departement of Power Electronics Faculty of Electronic Engineering and Technologies Technical University of Sofia Sofia Bulgaria Departement of Information Technology in Industry Faculty of Computer Systems and Technologies Technical University of Sofia Sofia Bulgaria

ISBN: (数字)9798350352757

ISBN: (纸本)9798350352764

In the presented work, a harmonic analysis has been implemented to determine the resonance occurrence node of the Sepic DC-DC converter. The simulation studies were implemented in MATLAB/Simulink. Two cases of transistor conduction are presented. The differential equations for describing the processes in the converter are presented. State space matrices are used to implement harmonic analysis. Simulation studies are obtained and comments are made on the advantages and disadvantages of the methods used.

关键词： Lighting Differential equations DC-DC power converters Harmonic analysis Resonance Transistors Matrix converters

来源：评论

学校读者我要写书评

暂无评论

Harmonic Analysis of Cûk DC-DC Converter

Harmonic Analysis of Cûk DC-DC Converter

引用

International Symposium on Electrical Apparatus and Technologies (SIELA)

ISBN: (数字)9798350382365

ISBN: (纸本)9798350382372

In the present paper, a harmonic analysis of a Cuk DC-DC converter is realized. A simulation model was implemented in MATLAB/Simulink. The converter is described using differential equations that are represented in state space. Two scenario of on and off transistor are considered. Simulation results are shown, where it can be observed in which case resonance occurs, which significantly influences the design of the circuit. Main advantages and disadvantages of the selected topology are described.

关键词： Smart cities Simulation RLC circuits DC-DC power converters Harmonic analysis Resonance Power electronics

来源：评论

学校读者我要写书评

暂无评论

LTSpice Based Stability Analysis of DC-DC Converter for LED Drivers

LTSpice Based Stability Analysis of DC-DC Converter for LED ...

引用

Junior Conference on Lighting (Lighting)

ISBN: (数字)9798350352757

ISBN: (纸本)9798350352764

This article presents a stability analysis of a boost DC-DC converter for powering an LED strip. A model of a DC converter is presented and the principle of operation is described. LTSpice software was used to implement the mathematical model. LED strip data provided by the manufacturer is used. Simulation results of the realized studies by Fourier transformation are presented. Investigating the influence of transient in LED drivers is useful in order to ensure the stability of the manufactured device under various external influences.

关键词： Strips Voltage fluctuations Simulation Lighting DC-DC power converters Light emitting diodes Stability analysis

来源：评论

学校读者我要写书评

暂无评论

Towards Holistic Crime Management Through Descriptive Analysis and Predictive Forecasting

Towards Holistic Crime Management Through Descriptive Analys...

引用

Advancements in Computing (ICAC), International Conference on

作者： Tinaya Wijethunge Sampath Edirisinghe Mansik Jeon Jeehyun Kim Ruchire Wijesinghe Bhagya Silva Department of Computer Engineering Faculty of Engineering Nugegoda Sri Lanka Daegu Republic of Korea Department of Electrical and Electronic Engineering Faculty of Engineering Malabe Sri Lanka Center for Excellence in Informatics Electronics Transmission (CIET) Malabe Sri Lanka Department of Information Technology Faculty of Computing Malabe Sri Lanka

ISBN: (数字)9798331517878

ISBN: (纸本)9798331517885

Throughout the evolution of humankind, devising effective crime prevention strategies has been a concern in fostering safer communities. Although achieving a zero-crime rate is not possible yet, using data management methods can contribute to preventing and minimizing crimes. This article presents an integrated approach to proactive crime prevention. Data insights derived from analysis and visualization provide a comprehensive overview of historical trends and scenarios, aiding understanding of past and present situations. The forecasting of crime rates extends this comprehension to the future, spotlighting the severity of the potential threat to the safety of the community. Three distinct prediction models are presented to predict the occurrence of violent/non-violent crimes, the most probable crime type, and the most probable crime location in a spatial-temporal context, facilitating optimal resource allocation of police patrolling. Combining these three analytical components, an application is designed to present this holistic solution for effective crime prevention, with a 73% accuracy in predicting violent crimes. To achieve higher accuracy in predicting the most probable crime types and locations, it is essential to go beyond spatiotemporal context and augment data on other factors that affect the occurrence of crimes.

关键词： Adaptation models Accuracy Uncertainty Prevention and mitigation Computational modeling Predictive models Data models Spatiotemporal phenomena Forecasting Meteorology

来源：评论

学校读者我要写书评

暂无评论

Design of a Dual-Polarized High-Gain Yagi Antenna Array for 2G/3G/LTE Base Stations 6

Design of a Dual-Polarized High-Gain Yagi Antenna Array for ...

引用

6th IEEE International Conference on electronic Information and Communication technology, ICEICT 2023

作者： Rao, Liwei Feng, Botao Ding, Xiao Sun, Sanshan Gu, Wenzhe Zeng, Qingsheng College of Electronics and Information Engineering Shenzhen University Shenzhen518060 China Macau University of Science and Technology Faculty of Humanities and Arts 999078 China College of Physics and Electronic Engineering Sichuan Normal University Sichuan China School of Computer Science and Engineering Huizhou University Huizhou China College of Astronautics Nanjing University of Aeronautics and Astronautics Nanjing210016 China

ISBN: (纸本)9798350399059

The present paper introduces a novel Yagi antenna array consisting of dual-polarized dipoles. The antenna consists of a pair of dipoles and two orthogonally mounted Yagi antennas with dielectric plates. To ensure that the antenna performance is consistent in both polarization directions, a symmetrical structure is adopted. Simulated results show a wide working frequency band ranging from 1.7 to 2.8 GHz(48.9%) with a high gain of 15±3 dBi, and the 30°-horizontal and vertical beam widths. © 2023 IEEE.

关键词： Antenna arrays

来源：评论

学校读者我要写书评

暂无评论

Multi-Person Device-Free Gesture Recognition Using mmWave Signals

引用

China Communications 2021年第2期18卷 186-199页

作者： Jie Wang Zhouhua Ran Qinghua Gao Xiaorui Ma Miao Pan Kaiping Xue School of Information Science and Technology Dalian Maritime UniversityDalian 116026China Faculty of Electronic Information and Electrical Engineering Dalian University of TechnologyDalian 116023China Department of Electrical and Computer Engineering University of HoustonHouston 77004USA Department of Information Security University of Science and Technology of ChinaHefei 230027China

Device-free gesture recognition is an emerging wireless sensing technique which could recognize gestures by analyzing its influence on surrounding wireless signals,it may empower wireless networks with the augmented sensing *** have made great achievements for singleperson device-free gesture ***,when multiple persons conduct gestures simultaneously,the received signals will be mixed together,and thus traditional methods would not work well ***,the anonymity of persons and the change in the surrounding environment would cause feature shift and mismatch,and thus the recognition accuracy would degrade *** address these problems,we explore and exploit the diversity of spatial information and propose a multidimensional analysis method to separate the gesture feature of each person using a focusing sensing ***,we also present a deep-learning based robust device free gesture recognition framework,which leverages an adversarial approach to extract robust gesture feature that is insensitive to the change of persons and ***,we also develop a 77GHz mmWave prototype system and evaluate the proposed methods *** results reveal that the proposed system can achieve average accuracies of 93%and 84%when 10 gestures are conducted in Received:Jun.18,2020 Revised:Aug.06,2020 Editor:Ning Ge different environments by two and four persons simultaneously,respectively.

关键词： device-free gesture recognition wireless sensing multi-person deep-learning

来源：评论

学校读者我要写书评

暂无评论

Design of Wideband Transmitarray with 1-Bit Beam-Deflection 6

Design of Wideband Transmitarray with 1-Bit Beam-Deflection

引用

6th IEEE International Conference on electronic Information and Communication technology, ICEICT 2023

作者： Rao, Liwei Feng, Botao Ding, Xiao Gu, Wenzhe Sun, Sanshan Zeng, Qingsheng College of Electronics and Information Engineering Shenzhen University Shenzhen518060 China Macau University of Science and Technology Faculty of Humanities and Arts 999078 China School of Computer Science and Engineering Huizhou University Huizhou China College of Physics and Electronic Engineering Sichuan Normal University Sichuan China College of Astronautics Nanjing University of Aeronautics and Astronautics Nanjing210016 China

ISBN: (纸本)9798350399059

This paper introduces a linearly polarized beam-deflection array that operates in the X-band and has a phase resolution of 1 bit. The transmission unit consists of three media layers and three metal layers. Its metal layers include metal strips with specific arrangements are used to twist the polarization of electromagnetic waves by ± 90°, and then the middle metal layer is rotated by 90° to form a phase difference of 0°/180°. A 20× 20 transmission array with beam deflection is designed using this unit. The designed antenna array shows good electrical characteristics including gain of 16 dBi at 11GHz and stable radiation patterns at both H- and V-planes. © 2023 IEEE.

关键词： Strip metal

来源：评论

学校读者我要写书评

暂无评论

A New IoT-Based Smart Greenhouse for Cultivation of Water Convolvulus

A New IoT-Based Smart Greenhouse for Cultivation of Water Co...

引用

International Electrical engineering Congress (iEECON)

作者： Prayoot Akkaraekthalin Tanee Somwong Nonchanutt Chudpooti Nuttawut Hirun Suwaluck. Meesomklin Department of Electrical and Computer Engineering Faculty of Engineering King Mongkut’s University of Technology North Bangkok Bangkok Thailand Department of Electronic and Telecommunications Engineering Faculty of Engineering and Architecture Rajamangala University of Technology Suvarnabhumi Nonthaburi Thailand Department of Industrial Physics and Medical Instrumentation Faculty of Applied Science King Mongkut’s University of Technology North Bangkok Bangkok Thailand Department of Electronics Engineering Technology College of Industrial Technology King Mongkut’s University of Technology North Bangkok Bangkok Thailand

ISBN: (数字)9798331543952

ISBN: (纸本)9798331543969

This paper presents a new IOT system for monitoring and controlling plant cultivation in greenhouse system. The system aims to regulate and monitor the environmental conditions suitable for plant cultivation in real-time. The system utilizes sensors to measure environmental conditions, such as soil moisture sensor, light intensity sensor, temperature sensor, and air humidity sensor. The Node MCU ESP32 is used for processing and controlling these operations. The system is designed to send notifications through Line application and allows farmers to monitor the system's performance and plant growth in real-time via a smartphone application. It can utilize the Blynk IoT application on a smartphone for remotely monitoring and controlling the environmental conditions and provides historical data. This experiment demonstrates that the designed system can successfully cultivate plants and promote better growth compared to traditional cultivation methods with a 13.38% improvement. Additionally, it provides convenience and ease of management for plant cultivation.

关键词： Temperature sensors Temperature measurement Smart agriculture System performance Green products Sensor systems Real-time systems Sensors Internet of Things Monitoring

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：