International Journal of Applied Methods in Electronics and Computers最新文献

Estimating cost of pothole repair from digital images using Stereo Vision and Artificial Neural Network 利用立体视觉和人工神经网络从数字图像估算坑洞修复成本

International Journal of Applied Methods in Electronics and Computers Pub Date : 2024-03-31 DOI: 10.58190/ijamec.2024.77

Edoghogho Olaye, Eriksson Owraigbo, Nosa Bello

{"title":"Estimating cost of pothole repair from digital images using Stereo Vision and Artificial Neural Network","authors":"Edoghogho Olaye, Eriksson Owraigbo, Nosa Bello","doi":"10.58190/ijamec.2024.77","DOIUrl":"https://doi.org/10.58190/ijamec.2024.77","url":null,"abstract":"A significant amount of road maintenance cost goes into pothole repairs. The primary cost factors related to potholes are their size and depth, as larger and thicker potholes incur higher repair costs. However, existing methods for estimating pothole repair in developing countries rely on manual size measurements, which is time consuming, labor intensive, subjective and can lead to poor estimation of repair cost. This paper presents a system that can automatically determine the size of potholes from digital images and estimate the cost of repair. \u0000In this study, the stereo vision method was used to automatically estimate the depths of potholes from digital camera images. A feed-forward backward propagation Artificial Neural Network (ANN) was trained using pothole images acquired using mobile phones. The predicted depths and sizes of the potholes were then used to estimate the quantity of materials required to fill the potholes and subsequently, the cumulative cost of repair. Marking out and manual size measurements were performed for twenty randomly selected potholes in the Ugbowo Campus of the University of Benin, Nigeria. These measurements were compared against the estimated sizes of potholes predicted by the ANN model. A system was developed to automatically compute these material costs and considering other cost components such as transportation, labor, and equipment.\u0000Results obtained showed that the mean errors for depth, width and height estimates were 3.403%, 3.789% and 5.2617% respectively. Consequently, the developed system correctly estimated the cost of repair of the potholes considered in this study. A significant contribution of the paper is the speed and convenience of acquiring pothole data using a mobile phones without the need for on spot assessment of potholes or use of relatively more expensive stereoscopic camera setup.\u0000","PeriodicalId":496101,"journal":{"name":"International Journal of Applied Methods in Electronics and Computers","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140358254","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

BLDC Motor speed control with dynamic adjustment of PID coefficients: Comparison of fuzzy and classic PID 利用 PID 系数的动态调整控制 BLDC 电机速度：模糊 PID 与传统 PID 的比较

International Journal of Applied Methods in Electronics and Computers Pub Date : 2024-03-27 DOI: 10.58190/ijamec.2024.80

Selahattin Guntay, Ismail Saritas

{"title":"BLDC Motor speed control with dynamic adjustment of PID coefficients: Comparison of fuzzy and classic PID","authors":"Selahattin Guntay, Ismail Saritas","doi":"10.58190/ijamec.2024.80","DOIUrl":"https://doi.org/10.58190/ijamec.2024.80","url":null,"abstract":"Brushless DC (BLDC) motors, which have small volumes, are widely used in many areas from the aviation industry to industrial applications due to their high efficiency and torque. In parallel with the development of technology, the field of use continues to expand with the development of BLDC engine (BLDCM) control strategies and the decrease in control costs. In this thesis study, it is aimed to minimize the observed changes in rotor speed compared to the reference speed. To achieve this, PID parameters were tried to be changed simultaneously with fuzzy control techniques, taking the error value as a reference. The control system of the BLDC engine was designed in the MATLAB/Simulink environment. In the simulation, the operating stability of classical PID and PID with updated fuzzy-based parameters on two engines with the same features was compared at different speeds. As a result of the research, it was concluded that the correction of the speed observed in the rotor of the PID-controlled motor, whose fuzzy logic-based coefficients were updated, based on the reference speed was more stable and the percentage of exceedance for the reference value was lower, compared to the classical PID controlled motor.\u0000\u0000","PeriodicalId":496101,"journal":{"name":"International Journal of Applied Methods in Electronics and Computers","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140375932","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

Boosting the classification success in imbalanced data of bee larva cells 提高蜜蜂幼虫细胞不平衡数据的分类成功率

International Journal of Applied Methods in Electronics and Computers Pub Date : 2024-03-27 DOI: 10.58190/ijamec.2024.78

Serkan Özgün, M. A. Şahman

引用次数: 0

Robust fuzzy-logic flight control for unmanned aerial vehicles (UAVs) 无人驾驶飞行器（UAV）的鲁棒性模糊逻辑飞行控制

International Journal of Applied Methods in Electronics and Computers Pub Date : 2024-03-27 DOI: 10.58190/ijamec.2024.79

Cengiz Özbek

{"title":"Robust fuzzy-logic flight control for unmanned aerial vehicles (UAVs)","authors":"Cengiz Özbek","doi":"10.58190/ijamec.2024.79","DOIUrl":"https://doi.org/10.58190/ijamec.2024.79","url":null,"abstract":"Researches on Unmanned Aerial Vehicles (UAVs) have been recently attracting considerable interest in the field of control theory applications. They are used in a wide range of areas thanks to having the potential of high manoeuvrability, hovering and flying, taking off and landing capabilities. However, to maintain robust control action towards changing conditions of the system is not an easy matter since quadrotor UAVs are highly unstable systems with high precision. Therefore, the main purpose of this study is to control a quadrotor UAV by using a proposed multi-input single-output (MISO) fuzzy-logic controller that ensures robustness if model parameters and trajectory change. For that reason, a 2-dimensional 3 degree-of-freedom quadrotor was used in this study to better evaluate the performance of proposed controller on UAVs. Afterwards, numerical analysis was performed and the findings were analysed. Consequently, the single most striking observation to emerge from the study is that the satisfactory results have been obtained demonstrating that the proposed fuzzy logic controller has remarkable advantage on the robustness of quadrotor UAVs.\u0000\u0000","PeriodicalId":496101,"journal":{"name":"International Journal of Applied Methods in Electronics and Computers","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140376239","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 Non-Contact Object Delivery System Using Leader-Follower Formation Control for Multi-Robots 基于Leader-Follower群体控制的多机器人非接触式物体传递系统

International Journal of Applied Methods in Electronics and Computers Pub Date : 2023-09-30 DOI: 10.58190/ijamec.2023.40

Halil İbrahim Dokuyucu, Nurhan Gürsel Özmen

{"title":"A Non-Contact Object Delivery System Using Leader-Follower Formation Control for Multi-Robots","authors":"Halil İbrahim Dokuyucu, Nurhan Gürsel Özmen","doi":"10.58190/ijamec.2023.40","DOIUrl":"https://doi.org/10.58190/ijamec.2023.40","url":null,"abstract":"Rapid improvements in the area of multi-robot control algorithms pave the way to design and implement robotic swarms to deal with sophisticated tasks including intelligent object transportation systems. It is crucial to manage the structure of the numerous robots to behave like a whole body for task accomplishment. The leader-follower formation control approach offers a simple and reliable way of keeping the swarm formation in appropriate limits to cope with challenging tasks. Autonomous object transportation with multi-robot systems enjoy the benefits of the leader-follower formation control approach. However, most of the developed transportation systems achieve the task by locating the load onto the robots or by pushing the load in the means of a physical contact. These approaches may lead to a hardware or payload damage due to heavy loads or physical contacts respectively. In this study, a novel non-contact object delivery system is introduced for eliminating the drawbacks of physical contact between the robots and the payload. Permanent magnets are used for propulsion of the payload located on a cart with passive casters. The stability of the proposed multi-robot system is satisfied by a formation controller using potential functions method augmented with a cornering action sub-controller. The simulation results verify the effectiveness of the proposed system during a straight motion and cornering with the root mean square values of the distance between the robots as 1.46 × 10-4 [m] and 0.065 [m] respectively.","PeriodicalId":496101,"journal":{"name":"International Journal of Applied Methods in Electronics and Computers","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135081535","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

Ensemble learning application for textile defect detection 集成学习在纺织品缺陷检测中的应用

International Journal of Applied Methods in Electronics and Computers Pub Date : 2023-09-30 DOI: 10.58190/ijamec.2023.41

Okan Guder, Sahin Isik, Yildiray Anagun

引用次数: 0

ResNet for Leaf-based Disease Classification in Strawberry Plant 基于叶片的草莓病害分类ResNet

International Journal of Applied Methods in Electronics and Computers Pub Date : 2023-09-30 DOI: 10.58190/ijamec.2023.42

Pranajit Kumar Das, Subarna Sarker Rupa

{"title":"ResNet for Leaf-based Disease Classification in Strawberry Plant","authors":"Pranajit Kumar Das, Subarna Sarker Rupa","doi":"10.58190/ijamec.2023.42","DOIUrl":"https://doi.org/10.58190/ijamec.2023.42","url":null,"abstract":"In the era of the 21st century, Deep CNN has proven its potential in crop and fruit disease classification and detection. Diseases have a ruinous effect on the quality and gross production of yields, which is related to the world economy. Proper identification of diseases at early stages may save yields from damage. CNN-based disease identification can detect the disease at the actual extent at a low cost with minimum expert manpower and labor. Strawberry is considered a functional food, that has a lot of health benefits for the human body. In this study, pre-trained weight ResNet models ResNet50, ResNet101, and ResNet152 architectures are used via the transfer learning features of CNN. Only the classifier of the models is getting updated during training. The Strawberry leaf images are used in this study from the PlantVillage dataset where both classes are balanced in terms of the number of images in each class. Among the three ResNet architectures, ResNet50 outperforms the other ResNet models achieving 88% classification accuracy during the testing period. The ResNet101 and ResNet152 models show 82% and 80% accuracy during the testing period, respectively.","PeriodicalId":496101,"journal":{"name":"International Journal of Applied Methods in Electronics and Computers","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135081538","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

An analysis of the integration of sustainability concepts into blockchain technology 可持续性概念融入区块链技术的分析

International Journal of Applied Methods in Electronics and Computers Pub Date : 2023-09-30 DOI: 10.58190/ijamec.2023.43

Nazmiye Eligüzel

{"title":"An analysis of the integration of sustainability concepts into blockchain technology","authors":"Nazmiye Eligüzel","doi":"10.58190/ijamec.2023.43","DOIUrl":"https://doi.org/10.58190/ijamec.2023.43","url":null,"abstract":"The acceleration of data production and consumption due to the transition to an information society and industrial revolutions has had a significant impact on the expansion of the global economy. The emergence of Industry 4.0 has led to the adoption of various technologies, including blockchain, which is known for its potential to transform different domains through its solutions. This is particularly relevant in the context of data governance. Thus, blockchain technology has the potential to enhance the sustainability of diverse industries. Sustainability is a crucial concept that refers to the capacity to meet the requirements of the current generation without compromising the ability of future generations to do so. The integration of blockchain technology across diverse industries holds the potential to greatly improve sustainability efforts. The objective of this study is to assess the relationship between blockchain technology and sustainability through a descriptive review of literature utilizing the latent semantic analysis topic modeling and clustering method, which is a social spider optimization technique. This study focuses on analyzing the impact of blockchain technologies on the sustainability sector. A corpus of 1069 papers has been sourced from the Scopus database. The results underscore the significance of cybersecurity, supply chain management, and the circular economy in the extant academic literature. The broad recognition of the supply chain domain's importance is evident in its application of blockchain technology and adherence to the sustainability principle. The present research focuses on the analysis and assessment of topics pertaining to traceability, cyber security, circular economy, energy, and transparency.","PeriodicalId":496101,"journal":{"name":"International Journal of Applied Methods in Electronics and Computers","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135081542","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

Benchmarking of ResNet models for breast cancer diagnosis using mammographic images 利用乳房x线摄影图像对乳腺癌诊断的ResNet模型进行基准测试

International Journal of Applied Methods in Electronics and Computers Pub Date : 2023-09-30 DOI: 10.58190/ijamec.2023.39

Hasan Serdar Macit, Kadir Sabanci

引用次数: 0

A deep learning approach for human gait recognition from time-frequency analysis images of inertial measurement unit signal 基于惯性测量单元信号时频分析图像的深度学习人体步态识别方法

International Journal of Applied Methods in Electronics and Computers Pub Date : 2023-09-30 DOI: 10.58190/ijamec.2023.44

Hacer Kuduz, Fırat Kaçar

{"title":"A deep learning approach for human gait recognition from time-frequency analysis images of inertial measurement unit signal","authors":"Hacer Kuduz, Fırat Kaçar","doi":"10.58190/ijamec.2023.44","DOIUrl":"https://doi.org/10.58190/ijamec.2023.44","url":null,"abstract":"Biomechanical analysis using deep learning has been increasingly used in recent studies to identify human activity. Wearable sensor data from inertial measurement units (IMUs) is widely used for recognizing human activity, but has several drawbacks owing to its high volume and diversity. To overcome these issues, the time-domain and power spectral characteristics of IMU data can be extracted using digital signal processing (DSP) methods. Our research aimed to investigate time-frequency analysis (TFA) methods for classifying the spatio-temporal gait characteristics of physical walking performed by healthy subjects. In this study, open-source biomechanical sensor signal dataset was used. The DSP step was first carried out by segmenting IMU data from the four body segments of 22 healthy subjects, and then by applying Continuous Wavelet Transform (CWT) and Short Time Fourier Transform (STFT) methods. Moreover, the resultants of linear accelerometer signals were applied in a similar manner. The image datasets obtained from this step were applied to a deep convolutional neural network (CNN) model to classify human walking speed (WS) into three classes: fast, normal, and slow. The performance of the 2D-CNN model and the impact of DSP methods using IMU data were evaluated. In conclusion, the highest test classification results demonstrated that STFT-all (85.9%), CWT-all (79.3%), and CWT-resAcc (76.3%) based CNN models present a remarkably precise and easy-to-implement classification problem, with the highest test accuracy, when all IMU channels are subjected to STFT. The classification accuracies of 2D-CNN models were compared to commonly used ML models. The Deep CNN model is a useful gait evaluation tool for healthy subjects. Furthermore, it can enable the diagnosis and phase assessment of gait abnormalities and detect gait biomarkers in rehabilitative wearables.","PeriodicalId":496101,"journal":{"name":"International Journal of Applied Methods in Electronics and Computers","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135081533","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