International Journal of Engineering最新文献_第8页

The Equipment Scheduling and Assignment Problem in the Overhaul Industry 大修行业的设备调度与分配问题

IF 1.3

International Journal of Engineering Pub Date : 2023-01-01 DOI: 10.5829/ije.2023.36.06c.14

M. Torkashvand, N. Shamami, H. Bigdeli

引用次数: 0

A Noise-aware Deep Learning Model for Automatic Modulation Recognition in Radar Signals 基于噪声感知的雷达信号自动调制识别深度学习模型

IF 1.3

International Journal of Engineering Pub Date : 2023-01-01 DOI: 10.5829/ije.2023.36.08b.06

M. Aslinezhad, A. Sezavar, A. Malekijavan

引用次数: 1

A Voice Activity Detection Algorithm Using Sparse Non-negative Matrix Factorization-based Model Learning in Spectro-Temporal Domain 基于谱时域稀疏非负矩阵分解模型学习的语音活动检测算法

IF 1.3

International Journal of Engineering Pub Date : 2023-01-01 DOI: 10.5829/ije.2023.36.08b.08

S. Mavaddati

{"title":"A Voice Activity Detection Algorithm Using Sparse Non-negative Matrix Factorization-based Model Learning in Spectro-Temporal Domain","authors":"S. Mavaddati","doi":"10.5829/ije.2023.36.08b.08","DOIUrl":"https://doi.org/10.5829/ije.2023.36.08b.08","url":null,"abstract":"Voice activity detectors are presented to extract silence/speech segments of the speech signal to eliminate different background noise signals. A novel voice activity detector is proposed in this paper using spectro-temporal features extracted from the auditory model of the speech signal. After extracting the scale, rate, and frequency features from this feature space, a sparse structured principal component analysis algorithm is used to consider the basic components of these features and reduce the dimension of learning data. Then these feature vectors are employed to learn the models by the sparse non-negative matrix factorization algorithm. The model learning procedure is performed to represent each feature vector with a proper sparse rate based on the selected atoms. Voice activity detection of the input frames is performed by computing the energy of the sparse representation for each input frame over the composite model. If the calculated energy exceeds a specified threshold, it indicates that the input frame has a structure similar to the atoms of the learned models and concludes that the observed frame has voice content. The results of the proposed detector were compared with other baseline methods and classifiers in this processing field. These results in the presence of stationary, non-stationary and periodic noises were investigated and they are shown that the proposed method based on model learning with spectro-temporal features can correctly detect","PeriodicalId":14109,"journal":{"name":"International Journal of Engineering","volume":"1 1","pages":""},"PeriodicalIF":1.3,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70899063","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

Energy Management of an Integrated PV/Battery/Electric Vehicles Energy System Interfaced by a Multi-port Converter 基于多端口转换器的集成光伏/电池/电动汽车能源系统的能量管理

IF 1.3

International Journal of Engineering Pub Date : 2023-01-01 DOI: 10.5829/ije.2023.36.08b.12

P. Tarassodi, J. Adabi, M. Rezanejad

引用次数: 0

Quadrotor Control for Tracking Moving Target, and Dynamic Obstacle Avoidance Based on Potential Field Method 基于势场法的四旋翼运动目标跟踪与动态避障控制

IF 1.3

International Journal of Engineering Pub Date : 2023-01-01 DOI: 10.5829/ije.2023.36.10a.01

F. Ghaderi, A. Toloei, R. Ghasemi

{"title":"Quadrotor Control for Tracking Moving Target, and Dynamic Obstacle Avoidance Based on Potential Field Method","authors":"F. Ghaderi, A. Toloei, R. Ghasemi","doi":"10.5829/ije.2023.36.10a.01","DOIUrl":"https://doi.org/10.5829/ije.2023.36.10a.01","url":null,"abstract":"The purpose of this paper is obstacle avoidance and moving target tracking for a quadrotor. Solving the obstacle crossing problem for the quadrotor includes two parts. The first part is controlling the attitude and position. The second part is path planning to pass obstacles. In this paper, the attitude and position of the quadrotor are controlled by super-twisting sliding mode control (SMC) and non-singular terminal super-twisting SMC. The simulation results of these two methods were compared. In the non-singular terminal ST-SMC method, the convergence time was approximately 5% less than the super-twisting SMC method. Also, the non-singular terminal ST-SMC method has more ability to remove disturbances. Because of the better results, the non-single terminal ST-SMC was used to control the position and attitude of the quadrotor to cross obstacles and track the target. In the second step, to cross obstacles, the potential field path planning algorithm is used. This method is a combination of attraction towards the target and repulsion from obstacles. The results of the simulation of crossing the obstacles were presented in four missions. In the first mission, the obstacles and the target are static, and in the second mission, the obstacles are static, and the target is moving. In the following, the obstacles and the target are dynamic; in the last mission, a combination of static and dynamic obstacles is considered, and the target is moving. The simulation results of four missions show that the quadrotor does not hit obstacles and reaches the desired goal, till the applied method is successful. doi: 10.5829/ije.2023.36.10a.01","PeriodicalId":14109,"journal":{"name":"International Journal of Engineering","volume":"15 4 1","pages":""},"PeriodicalIF":1.3,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70899385","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 Modular Control of Highway and Arterial Networks using Petri Nets Modeling 基于Petri网建模的高速公路和干线网络模块化控制新方法

IF 1.3

International Journal of Engineering Pub Date : 2023-01-01 DOI: 10.5829/ije.2023.36.08b.17

M. Mohammadi, A. Dideban, B. Moshiri

引用次数: 1

Standards for Selection of Surfactant Compositions used in Completion and Stimulation Fluids 完井和增产液中表面活性剂组合物的选择标准

IF 1.3

International Journal of Engineering Pub Date : 2023-01-01 DOI: 10.5829/ije.2023.36.09c.03

D. Petrakov, A. V. Loseva, N. T. Alikhanov, H. Jafarpour

引用次数: 0

A Parametric Study on Improved Reduced Beam Section Connections with Post-tensioning to Enhance Seismic Resilience 改进后张拉梁截面连接提高抗震性能的参数化研究

IF 1.3

International Journal of Engineering Pub Date : 2023-01-01 DOI: 10.5829/ije.2023.36.10a.11

R. Khandan, A. Sivandipour, E. Noroozinejad Farsangi

引用次数: 0

Integration of Remote Sensing and Big Data to Study Spatial Distribution of Urban Heat Island for Cities with Different Terrain 基于遥感与大数据的不同地形城市热岛空间分布研究

IF 1.3

International Journal of Engineering Pub Date : 2023-01-01 DOI: 10.5829/ije.2023.36.01a.09

P. Shah, C. Patel

引用次数: 4

A New Mechanism for Detecting Shilling Attacks in Recommender Systems Based on Social Network Analysis and Gaussian Rough Neural Network with Emotional Learning 基于社会网络分析和情绪学习高斯粗糙神经网络的推荐系统Shilling攻击检测新机制

IF 1.3

International Journal of Engineering Pub Date : 2023-01-01 DOI: 10.5829/ije.2023.36.02b.12

R. Moradi, H. Hamidi

引用次数: 0