International Journal of Electrical and Computer Engineering最新文献_第10页

Support vector machine-based object classification for robot arm system 基于支持向量机的机械臂系统目标分类

International Journal of Electrical and Computer Engineering Pub Date : 2023-10-01 DOI: 10.11591/ijece.v13i5.pp5047-5053

V. Cong, Thai Thanh Hiep

引用次数: 0

A deep convolutional structure-based approach for accurate recognition of skin lesions in dermoscopy images 一种基于深度卷积结构的皮肤镜图像精确识别方法

International Journal of Electrical and Computer Engineering Pub Date : 2023-10-01 DOI: 10.11591/ijece.v13i5.pp5792-5803

Shimaa Fawzy, Hossam El-Din Moustafa, Ehab H. Abdelhay, M. M. Ata

引用次数: 0

Lung sound classification using multiresolution Higuchi fractal dimension measurement 利用多分辨率Higuchi分形维数测量进行肺音分类

International Journal of Electrical and Computer Engineering Pub Date : 2023-10-01 DOI: 10.11591/ijece.v13i5.pp5091-5100

Achmad Rizal, Risanuri Hidayat, Hanung Adi Nugroho, Willy Anugrah Cahyadi

{"title":"Lung sound classification using multiresolution Higuchi fractal dimension measurement","authors":"Achmad Rizal, Risanuri Hidayat, Hanung Adi Nugroho, Willy Anugrah Cahyadi","doi":"10.11591/ijece.v13i5.pp5091-5100","DOIUrl":"https://doi.org/10.11591/ijece.v13i5.pp5091-5100","url":null,"abstract":"Lung sound is one indicator of abnormalities in the lungs and respiratory tract. Research for automatic lung sound classification has become one of the interests for researchers because lung disease is one of the diseases with the most sufferers in the world. The use of lung sounds as a source of information because of the ease in data acquisition and auscultation is a standard method in examining pulmonary function. This study simulated the potential use of Higuchi fractal dimension (HFD) as a feature extraction method for lung sound classification. HFD calculations were run on a series of k values to generate some HFD values as features. According to the simulation results, the proposed method could produce an accuracy of up to 97.98% for five classes of lung sound data. The results also suggested that the shift in HFD values over the selection of a time interval k can be used for lung sound classification.","PeriodicalId":38060,"journal":{"name":"International Journal of Electrical and Computer Engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43477080","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

Resource-efficient workload task scheduling for cloud-assisted internet of things environment 面向云辅助物联网环境的资源高效工作负载任务调度

International Journal of Electrical and Computer Engineering Pub Date : 2023-10-01 DOI: 10.11591/ijece.v13i5.pp5898-5907

Naveen Kumar Chowdaiah, Annapurna Dammur

{"title":"Resource-efficient workload task scheduling for cloud-assisted internet of things environment","authors":"Naveen Kumar Chowdaiah, Annapurna Dammur","doi":"10.11591/ijece.v13i5.pp5898-5907","DOIUrl":"https://doi.org/10.11591/ijece.v13i5.pp5898-5907","url":null,"abstract":"One of the most challenging tasks in the internet of things-cloud-based environment is the resource allocation for the tasks. The cloud provides various resources such as virtual machines, computational cores, networks, and other resources for the execution of the various tasks of the internet of things (IoT). Moreover, some methods are used for executing IoT tasks using an optimal resource management system but these methods are not efficient. Hence, in this research, we present a resource-efficient workload task scheduling (RWTS) model for a cloud-assisted IoT environment to execute the IoT task which utilizes few numbers of resources to bring a good tradeoff, achieve high performance using fewer resources of the cloud, compute the number of resources required for the execution of the IoT task such as bandwidth and computational core. Furthermore, this model mainly focuses to reduce energy consumption and also provides a task scheduling model to schedule the IoT tasks in an IoT-cloud-based environment. The experimentation has been done using the Montage workflow and the results have been obtained in terms of execution time, power sum, average power, and energy consumption. When compared with the existing model, the RWTS model performs better when the size of the tasks is increased.","PeriodicalId":38060,"journal":{"name":"International Journal of Electrical and Computer Engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43606499","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

Fuzzy control of synchronous buck converters utilizing fuzzy inference system for renewable energy applications 基于模糊推理系统的同步降压变换器模糊控制在可再生能源应用中的应用

International Journal of Electrical and Computer Engineering Pub Date : 2023-10-01 DOI: 10.11591/ijece.v13i5.pp5076-5090

Fredy H. Martínez, Holman Montiel, Fernando Martinez

{"title":"Fuzzy control of synchronous buck converters utilizing fuzzy inference system for renewable energy applications","authors":"Fredy H. Martínez, Holman Montiel, Fernando Martinez","doi":"10.11591/ijece.v13i5.pp5076-5090","DOIUrl":"https://doi.org/10.11591/ijece.v13i5.pp5076-5090","url":null,"abstract":"In the present research, an innovative fuzzy control approach is developed specifically for synchronous buck converters utilized in renewable energy applications. The proposed control strategy effectively manages load changes, nonlinear loads, and input voltage variations while improving both stability and transient response. The method employs a fuzzy inference system (FIS) that integrates adaptive control, feedforward control, and multivariable control to guarantee optimal performance under a wide range of operating conditions. The design of the control scheme involves formulating a rule base connecting input variables to an output variable, which signifies the duty cycle of the switching signal. The rule base is configured to dynamically modify control rules and membership functions in accordance with load conditions, input voltage fluctuations, and other contributing factors. The performance of the control scheme is evaluated in comparison to conventional techniques, such as proportional integral derivative (PID) control. Results indicate that the advanced fuzzy control approach surpasses traditional methods in terms of voltage regulation, stability, and transient response, particularly when faced with variable load conditions and input voltage changes. As a result, this control scheme is highly compatible with renewable energy systems, encompassing solar and wind power installations where input voltage and load conditions may experience considerable fluctuations. This research highlights the potential of the proposed fuzzy control approach to significantly enhance the performance and reliability of renewable energy systems.","PeriodicalId":38060,"journal":{"name":"International Journal of Electrical and Computer Engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47897843","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

Unknown input observer for Takagi-Sugeno implicit models with unmeasurable premise variables 具有不可测前提变量的Takagi-Sugeno隐式模型的未知输入观测器

International Journal of Electrical and Computer Engineering Pub Date : 2023-10-01 DOI: 10.11591/ijece.v13i5.pp5035-5046

M. Essabre, Ilham Hmaiddouch, A. El Assoudi, E. H. El Yaagoubi

引用次数: 0

Predicting user behavior using data profiling and hidden Markov model 使用数据分析和隐马尔可夫模型预测用户行为

International Journal of Electrical and Computer Engineering Pub Date : 2023-10-01 DOI: 10.11591/ijece.v13i5.pp5444-5453

Bahaa Eddine Elbaghazaoui, M. Amnai, Y. Fakhri

{"title":"Predicting user behavior using data profiling and hidden Markov model","authors":"Bahaa Eddine Elbaghazaoui, M. Amnai, Y. Fakhri","doi":"10.11591/ijece.v13i5.pp5444-5453","DOIUrl":"https://doi.org/10.11591/ijece.v13i5.pp5444-5453","url":null,"abstract":"Mental health disorders affect many aspects of patient’s lives, including emotions, cognition, and especially behaviors. E-health technology helps to collect information wealth in a non-invasive manner, which represents a promising opportunity to construct health behavior markers. Combining such user behavior data can provide a more comprehensive and contextual view than questionnaire data. Due to behavioral data, we can train machine learning models to understand the data pattern and also use prediction algorithms to know the next state of a person’s behavior. The remaining challenges for this issue are how to apply mathematical formulations to textual datasets and find metadata that aids to identify the person’s life pattern and also predict the next state of his comportment. The main idea of this work is to use a hidden Markov model (HMM) to predict user behavior from social media applications by analyzing and detecting states and symbols from the user behavior dataset. To achieve this goal, we need to analyze and detect the states and symbols from the user behavior dataset, then convert the textual data to mathematical and numerical matrices. Finally, apply the HMM model to predict the hidden user behavior states. We tested our program and identified that the log-likelihood was higher and better when the model fits the data. In any case, the results of the study indicated that the program was suitable for the purpose and yielded valuable data.","PeriodicalId":38060,"journal":{"name":"International Journal of Electrical and Computer Engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43123331","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

Experimental study of four-wave mixing based on a quantum dot semiconductor optical amplifier 基于量子点半导体光放大器的四波混频实验研究

International Journal of Electrical and Computer Engineering Pub Date : 2023-10-01 DOI: 10.11591/ijece.v13i5.pp5179-5189

Tokhmetov Akylbek, Tussupov Akhmet, Tanchenko Liliya

{"title":"Experimental study of four-wave mixing based on a quantum dot semiconductor optical amplifier","authors":"Tokhmetov Akylbek, Tussupov Akhmet, Tanchenko Liliya","doi":"10.11591/ijece.v13i5.pp5179-5189","DOIUrl":"https://doi.org/10.11591/ijece.v13i5.pp5179-5189","url":null,"abstract":"The article is devoted to the study of four-wave mixing (FWM) in a semiconductor optical amplifier with quantum dots (QD-SOA). Experimental measurements of FWM signals are characterized in nonlinear media of GaAs-based QD-SOA with gain in the 1,550 nm region. Theoretical part of nonlinear effect of FWM is studied and important all-optical communication applications are listed. Experimental studies of a four-wave system are described and an analysis of FWM signals is given for various input powers of pump signals and injection currents. The devices are compared in terms of such parameters as conversion efficiency and signal-to-noise ratio. The results of the study made it possible to reveal the possibility of the effect of FWM signals on useful signals in channels with spectral division multiplexing wavelength division multiplexing (WDM) in the downstream and upstream in a semiconductor optical amplifier. Based on the experimental results, it was concluded that FWM does not affect adjacent channels of WDM signals and does not generate additional optical noise when scaling the WDM gigabit passive optical network (GPON) up to 60 km using semiconductor optical amplifiers (SOAs).","PeriodicalId":38060,"journal":{"name":"International Journal of Electrical and Computer Engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49578029","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

Runner profile optimisation of gravitational vortex water turbine 重力旋涡水轮机转轮型线优化

International Journal of Electrical and Computer Engineering Pub Date : 2023-10-01 DOI: 10.11591/ijece.v13i5.pp4777-4788

R. A. Subekti, S. Wijaya, A. Sudarmaji, T. D. Atmaja, B. Prawara, Anjar Susatyo, A. Fudholi

引用次数: 0

Improved feature selection using a hybrid side-blotched lizard algorithm and genetic algorithm approach 采用混合侧斑点蜥蜴算法和遗传算法改进特征选择方法

International Journal of Electrical and Computer Engineering Pub Date : 2023-10-01 DOI: 10.11591/ijece.v13i5.pp5737-5746

Amr Abdel-aal, Ibrahim El-Henawy

{"title":"Improved feature selection using a hybrid side-blotched lizard algorithm and genetic algorithm approach","authors":"Amr Abdel-aal, Ibrahim El-Henawy","doi":"10.11591/ijece.v13i5.pp5737-5746","DOIUrl":"https://doi.org/10.11591/ijece.v13i5.pp5737-5746","url":null,"abstract":"Feature selection entails choosing the significant features among a wide collection of original features that are essential for predicting test data using a classifier. Feature selection is commonly used in various applications, such as bioinformatics, data mining, and the analysis of written texts, where the dataset contains tens or hundreds of thousands of features, making it difficult to analyze such a large feature set. Removing irrelevant features improves the predictor performance, making it more accurate and cost-effective. In this research, a novel hybrid technique is presented for feature selection that aims to enhance classification accuracy. A hybrid binary version of side-blotched lizard algorithm (SBLA) with genetic algorithm (GA), namely SBLAGA, which combines the strengths of both algorithms is proposed. We use a sigmoid function to adapt the continuous variables values into a binary one, and evaluate our proposed algorithm on twenty-three standard benchmark datasets. Average classification accuracy, average number of selected features and average fitness value were the evaluation criteria. According to the experimental results, SBLAGA demonstrated superior performance compared to SBLA and GA with regards to these criteria. We further compare SBLAGA with four wrapper feature selection methods that are widely used in the literature, and find it to be more efficient.","PeriodicalId":38060,"journal":{"name":"International Journal of Electrical and Computer Engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"65382767","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