Cmc-computers Materials & Continua最新文献_第7页

Adaptive Fuzzy Logic Controller for Harmonics Mitigation Using Particle Swarm Optimization 基于粒子群优化的自适应模糊控制器谐波抑制

IF 3.1 4区计算机科学

Cmc-computers Materials & Continua Pub Date : 2022-01-01 DOI: 10.32604/cmc.2022.023588

Waleed Rafique, Ayesha Khan, Ahmad S. Almogren, J. Arshad, Adnan Yousaf, Mujtaba Hussain Jaffery, Ateeq Ur Rehman, Muhammad Shafiq

引用次数: 5

Cross Intelligence Evaluation for Effective Emotional Intelligence Estimation 有效情绪智力评估的交叉智力评估

IF 3.1 4区计算机科学

Cmc-computers Materials & Continua Pub Date : 2022-01-01 DOI: 10.32604/cmc.2022.020264

Ibrahim Alsukayti, Aman Singh

{"title":"Cross Intelligence Evaluation for Effective Emotional Intelligence Estimation","authors":"Ibrahim Alsukayti, Aman Singh","doi":"10.32604/cmc.2022.020264","DOIUrl":"https://doi.org/10.32604/cmc.2022.020264","url":null,"abstract":": A famous psychologist or researcher, Daniel Goleman, gave a theory on the importance of Emotional Intelligence for the success of an individual’s life. Daniel Goleman quoted in the research that “The contribution of an individual’s Intelligence Quotient (IQ) is only 20% for their success, the remaining 80% is due to Emotional Intelligence (EQ)”. However, in the absence of a reliable technique for EQ evaluation, this factor of overall intelligence is ignored in most of the intelligence evaluation mechanisms. This research presented an analysis based on basic statistical tools along with more sophisticated deep learning tools. The proposed cross intelligence evaluation uses two different aspects which are similar, i.e., EQ and SQ to estimate EQ by using a trained model over SQ Dataset. This presented analysis ensures the resemblance between the Emotional and Social Intelligence of an Individual. The research authenticates the results over standard statistical tools and is practically inspected by deep learning tools. Trait Emotional Intelligence Questionnaire-Short Form (TEIQue-SF) and Social IQ dataset are deployed over a Multi-layered Long-Short Term Memory (M-LSTM) based deep learning model for accessing the resemblance between EQ and SQ. The M-LSTM based trained deep learning model registered, the high positive resemblance between Emotional and Social Intelligence and concluded that the resemblance factor between these two is more than 99.84%. This much resemblance allows future researchers to calculate human emotional intelligence with the help of social intelligence. This flexibility also allows the use of Big Data available on social networks, to calculate the emotional intelligence of an individual.","PeriodicalId":10440,"journal":{"name":"Cmc-computers Materials & Continua","volume":"40 1","pages":""},"PeriodicalIF":3.1,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74126205","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Model Identification and Control of Evapotranspiration for Irrigation Water Optimization 灌溉水优化蒸散发模型辨识与控制

IF 3.1 4区计算机科学

Cmc-computers Materials & Continua Pub Date : 2022-01-01 DOI: 10.32604/cmc.2022.019071

Wafa Difallah, F. Bounaama, B. Draoui, Khelifa Benahmed, A. Laaboudi

{"title":"Model Identification and Control of Evapotranspiration for Irrigation Water Optimization","authors":"Wafa Difallah, F. Bounaama, B. Draoui, Khelifa Benahmed, A. Laaboudi","doi":"10.32604/cmc.2022.019071","DOIUrl":"https://doi.org/10.32604/cmc.2022.019071","url":null,"abstract":": Water conservation starts from rationalizing irrigation, as it is the largest consumer of this vital source. Following the critical and urgent nature of this issue, several works have been proposed. The idea of most researchers is to develop irrigation management systems to meet the water needs of plants with optimal use of this resource. In fact, irrigation water requirement is only the amount of water that must be applied to compensate the evapotranspiration loss. Penman-Monteith equation is the most common formula to evaluate reference evapotranspiration, but it requires many factors that cannot be available in many cases. This leads to a trend towards behavior model estimation. System identification with control is one of the most promising applicationsin this axis. The idea behind this proposal depends on three stages: First, the estimation of reference evapotranspiration (ET0) by a linear ARX model, where temperature, relative humidity, insolation duration and wind speed are used as inputs, and ET0 estimated by Penman-Monteith equation as output. The results show that the values estimated by this method were in good agreement with the measured data. The second part of this paper is to manage the quantity of water. For this purpose, two controllers are used for testing, lead-lag and PID. To adjust the first controller and optimize the choice of its parameters, Nelder-Mead algorithm is used. In the last part, a comparative study is done between the two used controllers.","PeriodicalId":10440,"journal":{"name":"Cmc-computers Materials & Continua","volume":"158 1","pages":""},"PeriodicalIF":3.1,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73134717","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Efficient Forgery Detection Approaches for Digital Color Images 数字彩色图像的有效伪造检测方法

IF 3.1 4区计算机科学

Cmc-computers Materials & Continua Pub Date : 2022-01-01 DOI: 10.32604/cmc.2022.021047

A. Baumy, Abeer D. Algarni, M. Abdalla, W. El-shafai, Fathi E. Abd El-Samie, Naglaa. F. Soliman

{"title":"Efficient Forgery Detection Approaches for Digital Color Images","authors":"A. Baumy, Abeer D. Algarni, M. Abdalla, W. El-shafai, Fathi E. Abd El-Samie, Naglaa. F. Soliman","doi":"10.32604/cmc.2022.021047","DOIUrl":"https://doi.org/10.32604/cmc.2022.021047","url":null,"abstract":": This paper is concerned with a vital topic in image processing: color image forgery detection. The development of computing capabilities has led to a breakthrough in hacking and forgery attacks on signal, image, and data communicated over networks. Hence, there is an urgent need for developing efficient image forgery detection algorithms. Two main types of forgery are considered in this paper: splicing and copy-move. Splicing is performed by inserting a part of an image into another image. On the other hand, copy-move forgery is performed by copying a part of the image into another position in the same image. The proposed approach for splicing detection is based on the assumption that illumination between the original and tampered images is different. To detect the difference between the original and tampered images, the homomorphic transform separates the illumination component from the reflectance component. The illumination histogram derivative is used for detecting the difference in illumination, and hence forgery detection is accomplished. Prior to performing the forgery detection process, some pre-processing techniques, including histogram equalization, histogram matching, high-pass filtering, homomorphic enhancement, and single image super-resolution, are introduced to reinforce the details and changes between the original and embedded sections. The proposed approach for copy-move forgery detection is performed with the Speeded Up Robust Features (SURF) algorithm, which extracts feature points and feature vectors. Searching for the copied partition is accomplished through matching with Euclidian distance and hierarchical clustering. In addition, some preprocessing methods are used with the SURF algorithm, such as histogram equalization and single-mage super-resolution. Simulation results proved the feasibility and the robustness of the pre-processing step in homomorphic detection and SURF detection algorithms for splicing and copy-move forgery detection, respectively.","PeriodicalId":10440,"journal":{"name":"Cmc-computers Materials & Continua","volume":"36 1","pages":""},"PeriodicalIF":3.1,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75847157","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Numerical Analysis of Laterally Loaded Long Piles in Cohesionless Soil 无粘性土中横向荷载长桩的数值分析

IF 3.1 4区计算机科学

Cmc-computers Materials & Continua Pub Date : 2022-01-01 DOI: 10.32604/cmc.2022.021899

Ayman Abd-Elhamed, M. Fathy, K. M. Abdelgaber

{"title":"Numerical Analysis of Laterally Loaded Long Piles in Cohesionless Soil","authors":"Ayman Abd-Elhamed, M. Fathy, K. M. Abdelgaber","doi":"10.32604/cmc.2022.021899","DOIUrl":"https://doi.org/10.32604/cmc.2022.021899","url":null,"abstract":": The capability of piles to withstand horizontal loads is a major design issue. The current research work aims to investigate numerically the responses of laterally loaded piles at working load employing the concept of a beam-on-Winkler-foundation model. The governing differential equation for a laterally loaded pile on elastic subgrade is derived. Based on Legendre-Galerkin method and Runge-Kutta formulas of order four and five, the flexural equation of long piles embedded in homogeneous sandy soils with modulus of subgrade reaction linearly variable with depth is solved for both free- and fixed-headed piles. Mathematica, as one of the world’s leading computational software, was employed for the implementation of solutions. The proposed numerical techniques provide the responses for the entire pile length under the applied lateral load. The utilized numerical approaches are validated against experimental and analytical results of previously published works showing a more accurate estimation of the response of laterally loaded piles. Therefore, the proposed approaches can maintain both mathematical simplicity and comparable accuracy with the experimental results.","PeriodicalId":10440,"journal":{"name":"Cmc-computers Materials & Continua","volume":"30 1","pages":""},"PeriodicalIF":3.1,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75113724","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Realistic Smile Expression Recognition Approach Using Ensemble Classifier with Enhanced Bagging 基于增强Bagging的集成分类器的真实微笑表情识别方法

IF 3.1 4区计算机科学

Cmc-computers Materials & Continua Pub Date : 2022-01-01 DOI: 10.32604/cmc.2022.019125

Oday A. Hassen, N. Azman Abu, Z. Zainal Abidin, Saad M. Darwish

{"title":"Realistic Smile Expression Recognition Approach Using Ensemble Classifier with Enhanced Bagging","authors":"Oday A. Hassen, N. Azman Abu, Z. Zainal Abidin, Saad M. Darwish","doi":"10.32604/cmc.2022.019125","DOIUrl":"https://doi.org/10.32604/cmc.2022.019125","url":null,"abstract":": A robust smile recognition system could be widely used for many real-world applications. Classification of a facial smile in an unconstrained setting is difficult due to the invertible and wide variety in face images. In this paper, an adaptive model for smile expression classification is suggested that integrates a fast features extraction algorithm and cascade classifiers. Our model takes advantage of the intrinsic association between face detection, smile, and other face features to alleviate the over-fitting issue on the limited training set and increase classification results. The features are extracted taking into account to exclude any unnecessary coefficients in the feature vector; thereby enhancing the discriminatory capacity of the extracted features and reducing the computational process. Still, the main causes of error in learning are due to noise, bias, and variance. Ensemble helps to minimize these factors. Combinations of multiple classifiers decrease variance, especially in the case of unstable classifiers, and may produce a more reliable classification than a single classifier. However, a shortcoming of bagging as the best ensemble classifier is its random selection, where the classification performance relies on the chance to pick an appropriate subset of training items. The suggested model employs a modified form of bagging while creating training sets to deal with this challenge (error-based bootstrapping). The experimental results for smile classification on the JAFFE, CK+, and CK+48 benchmark datasets show the feasibility of our proposed model.","PeriodicalId":10440,"journal":{"name":"Cmc-computers Materials & Continua","volume":"57 1","pages":""},"PeriodicalIF":3.1,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88242852","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 5

Diabetes Prediction Algorithm Using Recursive Ridge Regression L2 基于递归岭回归的糖尿病预测算法

IF 3.1 4区计算机科学

Cmc-computers Materials & Continua Pub Date : 2022-01-01 DOI: 10.32604/cmc.2022.020687

A. Velu, Menakadevi Thangavelu

引用次数: 2

Utilization of Machine Learning Methods in Modeling Specific Heat Capacity of Nanofluids 机器学习方法在纳米流体比热容建模中的应用

IF 3.1 4区计算机科学

Cmc-computers Materials & Continua Pub Date : 2022-01-01 DOI: 10.32604/cmc.2022.019048

M. Assad, I. Mahariq, Raymond Ghandour, M. Nazari, T. Abdeljawad

{"title":"Utilization of Machine Learning Methods in Modeling Specific Heat Capacity of Nanofluids","authors":"M. Assad, I. Mahariq, Raymond Ghandour, M. Nazari, T. Abdeljawad","doi":"10.32604/cmc.2022.019048","DOIUrl":"https://doi.org/10.32604/cmc.2022.019048","url":null,"abstract":": Nanofluids are extensively applied in various heat transfer mediums for improving their heat transfer characteristics and hence their performance. Specific heat capacity of nanofluids, as one of the thermophysical properties, performs principal role in heat transfer of thermal mediums utilizing nanofluids. In this regard, different studies have been carried out to investigate the influential factors on nanofluids specific heat. Moreover, several regression models based on correlations or artificial intelligence have been developed for forecasting this property of nanofluids. In the current review paper, influential parameters on the specific heat capacity of nanofluids are introduced. Afterwards, the proposed models for their forecasting and modeling are proposed. According to the reviewed works, concentration and properties of solid structures in addition to temperature affect specific heat capacity to large extent and must be considered as inputs for the models. Moreover, by using other effective factors, the accuracy and comprehensive of the models can be modified. Finally, some suggestions are offered for the upcoming works in the relevant topics.","PeriodicalId":10440,"journal":{"name":"Cmc-computers Materials & Continua","volume":"13 1","pages":""},"PeriodicalIF":3.1,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74908810","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 7

An Auction-Based Recommender System for Over-The-Top Platform 基于拍卖的over - top平台推荐系统

IF 3.1 4区计算机科学

Cmc-computers Materials & Continua Pub Date : 2022-01-01 DOI: 10.32604/cmc.2022.021631

Hameed AlQaheri, Anjan Bandyopadhay, Debolina Nath, Shreyanta Kar, Arunangshu Banerjee

{"title":"An Auction-Based Recommender System for Over-The-Top Platform","authors":"Hameed AlQaheri, Anjan Bandyopadhay, Debolina Nath, Shreyanta Kar, Arunangshu Banerjee","doi":"10.32604/cmc.2022.021631","DOIUrl":"https://doi.org/10.32604/cmc.2022.021631","url":null,"abstract":"In this era of digital domination, it is fit to say that individuals are more inclined towards viewership on online platforms due to the wide variety and the scope of individual preferences it provides. In the past few years, there has been a massive growth in the popularity of Over-The-Top platforms, with an increasing number of consumers adapting to them. The Covid-19 pandemic has also caused the proliferation of these services as people are restricted to their homes. Consumers are often in a dilemma about which subscription plan to choose, and this is where a recommendation system makes their task easy. The Subscription recommendation system allows potential users to pick the most suitable and convenient plan for their daily consumption from diverse OTT platforms. The economic equilibrium behind allocating these resources follows a unique voting and bidding system propped by us in this paper. The system is dependent on two types of individuals, type 1 seeking the recommendation plan, and type 2 suggesting it. In our study, the system collaborates with the latter who participate in voting and invest/bid in the available options, keeping in mind the user preferences. This architecture runs on an interface where the candidates can login to participate at their convenience. As a result, selective participants are awarded monetary gains considering the rules of the suggested mechanism, and the most voted subscription plan gets recommended to the user. © 2022 Tech Science Press. All rights reserved.","PeriodicalId":10440,"journal":{"name":"Cmc-computers Materials & Continua","volume":"52 1","pages":""},"PeriodicalIF":3.1,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74974230","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

An Efficient HW/SW Design for Text Extraction from Complex Color Image 复杂彩色图像文本提取的高效硬件/软件设计

IF 3.1 4区计算机科学

Cmc-computers Materials & Continua Pub Date : 2022-01-01 DOI: 10.32604/cmc.2022.024345

Mohamed Amin Ben Atitallah, R. Kachouri, A. Ben Atitallah, H. Mnif

引用次数: 2