Int. J. Knowl. Based Intell. Eng. Syst.最新文献

DICO: Dingo coot optimization-based ZF net for pansharpening DICO:基于Dingo coot优化的用于pansharpening的ZF网络

Int. J. Knowl. Based Intell. Eng. Syst. Pub Date : 2023-03-15 DOI: 10.3233/kes-221530

Preeti Singh, S. Singh, M. Paprzycki

{"title":"DICO: Dingo coot optimization-based ZF net for pansharpening","authors":"Preeti Singh, S. Singh, M. Paprzycki","doi":"10.3233/kes-221530","DOIUrl":"https://doi.org/10.3233/kes-221530","url":null,"abstract":"With the recent advancements in technology, there has been a tremendous growth in the usage of images captured using satellites in various applications, like defense, academics, resource exploration, land-use mapping, and so on. Certain mission-critical applications need images of higher visual quality, but the images captured by the sensors normally suffer from a tradeoff between high spectral and spatial resolutions. Hence, for obtaining images with high visual quality, it is necessary to combine the low resolution multispectral (MS) image with the high resolution panchromatic (PAN) image, and this is accomplished by means of pansharpening. In this paper, an efficient pansharpening technique is devised by using a hybrid optimized deep learning network. Zeiler and Fergus network (ZF Net) is utilized for performing the fusion of the sharpened and upsampled MS image with the PAN image. A novel Dingo coot (DICO) optimization is created for updating the learning parameters and weights of the ZF Net. Moreover, the devised DICO_ZF Net for pansharpening is examined for its effectiveness by considering measures, like Peak Signal To Noise Ratio (PSNR) and Degree of Distortion (DD) and is found to have attained values at 50.177 dB and 0.063 dB.","PeriodicalId":210048,"journal":{"name":"Int. J. Knowl. Based Intell. Eng. Syst.","volume":"76 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131714613","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

Hybrid modified weighted water cycle algorithm and Deep Analytic Network for forecasting and trend detection of forex market indices 基于混合修正加权水循环算法和深度分析网络的外汇市场指数预测与趋势检测

Int. J. Knowl. Based Intell. Eng. Syst. Pub Date : 2023-02-07 DOI: 10.3233/kes-218014

R. Bisoi, Pournamasi Parhi, P. Dash

{"title":"Hybrid modified weighted water cycle algorithm and Deep Analytic Network for forecasting and trend detection of forex market indices","authors":"R. Bisoi, Pournamasi Parhi, P. Dash","doi":"10.3233/kes-218014","DOIUrl":"https://doi.org/10.3233/kes-218014","url":null,"abstract":"This paper presents forecasting and trend analysis of foreign currency exchange rate in financial market using a hybrid Deep Analytic Network (DAN) technique optimized by a modified water cycle algorithm called Weighted WCA (WWCA) with better generalization capability than the traditional WCA.DAN comprises several stacked KRR (Kernel Ridge Regression) Auto encoders in a multilayer nonlinear regression architecture approach that provides better generalization and accuracy using regularized least squares technique. Further DAN using wavelet kernel function is particularly attractive for its strong data fitting and generalization ability along with its simplified execution procedure, high speed, and better performance achievements in comparison to LSSVM (least squares support vector machine). The output from the DAN is fed to a weighted KRR module to reject noise or the outliers in the noisy data and to make DAN a more robust predictor of the Forex markets, To obtain optimal values of wavelet kernel parameters, a modified metaheuristic water cycle algorithm i.e. the proposed WWCA is utilized. Applications of this new approach to predict forex rate along with trend analysis on three stock markets provide successful results and validate its superiority over some well known approaches like ANN, SVM, Naïve-Bayes, ELM.","PeriodicalId":210048,"journal":{"name":"Int. J. Knowl. Based Intell. Eng. Syst.","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130131560","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

KinRob: An ontology based robot for solving kinematic problems KinRob:一个基于本体的机器人，用于解决运动学问题

Int. J. Knowl. Based Intell. Eng. Syst. Pub Date : 2023-02-06 DOI: 10.3233/kes-218162

Jiarong Zhang, Jinsha Yuan, Jianing Xu, Shuangshuang Ban, Xinyu Zan, Jin Zhang

{"title":"KinRob: An ontology based robot for solving kinematic problems","authors":"Jiarong Zhang, Jinsha Yuan, Jianing Xu, Shuangshuang Ban, Xinyu Zan, Jin Zhang","doi":"10.3233/kes-218162","DOIUrl":"https://doi.org/10.3233/kes-218162","url":null,"abstract":"Intelligent answering technology, which enables computers to solve problems automatically, is often used to develop tutorial systems, and has a wide range of application prospects. However, due to the lack of linguistic analysis and understanding methods, there are few researches on intelligent algorithms for solving kinematics problems. Developing such an algorithm is challenging, because solving kinematics problems is a complex task that includes text understanding, problem analysis, and automatic solution. To understand all these complexities involved in kinematics problems requires background knowledge. And only when an automatic solver contains a powerful internal knowledge representation system can it perform these tasks. We, thus, develop KinRob, an tutorial system for solving kinematics problems by combining neural network and ontology. Firstly, we propose an ontology for KinRob, which defines the knowledge of kinematics, and can help the robot understand a kinematics problem. Secondly, to match the text in natural language with the ontology, we propose a novel tagging scheme based on the kinematic problem understanding model in named entity recognition (NER). Finally, extensive experiments are conducted, and the experimental results show that the performance of the proposed method on a dataset of kinematic problems from authoritative sources better than the baseline algorithms.","PeriodicalId":210048,"journal":{"name":"Int. J. Knowl. Based Intell. Eng. Syst.","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132965639","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

Autonomous gesture recognition using multi-layer LSTM networks and laban movement analysis 基于多层LSTM网络和laban运动分析的自主手势识别

Int. J. Knowl. Based Intell. Eng. Syst. Pub Date : 2023-02-06 DOI: 10.3233/kes-208195

Zahra Ramezanpanah, M. Mallem, F. Davesne

{"title":"Autonomous gesture recognition using multi-layer LSTM networks and laban movement analysis","authors":"Zahra Ramezanpanah, M. Mallem, F. Davesne","doi":"10.3233/kes-208195","DOIUrl":"https://doi.org/10.3233/kes-208195","url":null,"abstract":"In recent years, due to the reasonable price of RGB-D devices, the use of skeletal-based data in the field of human-computer interaction has attracted a lot of attention. Being free from problems such as complex backgrounds as well as changes in light is another reason for the popularity of this type of data. In the existing methods, the use of joint and bone information has had significant results in improving the recognition of human movements and even emotions. However, how to combine these two types of information in the best possible way to define the relationship between joints and bones is a problem that has not yet been solved. In this article, we used the Laban Movement Analysis (LMA) to build a robust descriptor and present a precise description of the connection of the different parts of the body to itself and its surrounding environment while performing a gesture. To do this, in addition to the distances between the hip center and other joints of the body and the changes of the quaternion angles in time, we define the triangles formed by the different parts of the body and calculate their area. We also calculate the area of the single conforming 3-D boundary around all the joints of the body. We use a long short-term memory (LSTM) network to evaluate this descriptor. The proposed algorithm is implemented on five public datasets: NTU RGB+D 120, SYSU 3D HOI, FLORENCE 3D ACTIONS, MSR Action3D and UTKinect-Action3D datasets, and the results are compared with those available in the literature.","PeriodicalId":210048,"journal":{"name":"Int. J. Knowl. Based Intell. Eng. Syst.","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124831168","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

An integrated method for evaluating the energy-saving and economic operation of power systems with interval-valued intuitionistic fuzzy numbers 用区间值直觉模糊数综合评价电力系统节能与经济运行的方法

Int. J. Knowl. Based Intell. Eng. Syst. Pub Date : 2022-12-20 DOI: 10.3233/kes-220019

Xinrui Xu

{"title":"An integrated method for evaluating the energy-saving and economic operation of power systems with interval-valued intuitionistic fuzzy numbers","authors":"Xinrui Xu","doi":"10.3233/kes-220019","DOIUrl":"https://doi.org/10.3233/kes-220019","url":null,"abstract":"Chinese population is numerous. Energy resources are limited. The ownership of per capita resource is far lower than the world average level. China is in the process of industrialization and urbanization, but energy resources are consumed and environmental pollution is serious. The energy crisis and environmental protection has restricted our country economy development and social harmony. As a source of energy consumption and environmental pollution, power industry is one of the important fields of energy saving and emission reduction. The reasonable power dispatch is the breakthrough to reduce the energy consumption and environmental pollution. In this paper, we first introduce some operations on interval-valued intuitionistic fuzzy sets, such as Heronian mean (HM) operator and Dombi operations, etc., and further develop the induced interval-valued intuitionistic fuzzy Dombi weighted Heronian mean (I-IVIFDWHM) operator. We also establish some desirable properties of this operator, such as commutativity, idempotency and monotonicity. Then, we apply the I-IVIFDWHM operator to deal with the interval-valued intuitionistic fuzzy multiple attribute decision making (MADM) problems. Finally, an illustrative example for evaluating the energy-saving and economic operation of power systems is given to verify the developed approach.","PeriodicalId":210048,"journal":{"name":"Int. J. Knowl. Based Intell. Eng. Syst.","volume":"09 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124445363","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 decision making framework for comparing sales and operational performance of firms in emerging market 一个比较新兴市场企业销售和经营绩效的决策框架

Int. J. Knowl. Based Intell. Eng. Syst. Pub Date : 2022-12-20 DOI: 10.3233/kes-221601

S. Biswas, Gautam Bandyopadhyay, D. Pamučar, Aparajita Sanyal

{"title":"A decision making framework for comparing sales and operational performance of firms in emerging market","authors":"S. Biswas, Gautam Bandyopadhyay, D. Pamučar, Aparajita Sanyal","doi":"10.3233/kes-221601","DOIUrl":"https://doi.org/10.3233/kes-221601","url":null,"abstract":"Sales and operations planning translates the requirements of the customers at the market place (related to new and/or existing products and services) into actionable tactical plans to drive the activities of the value chain of the organization. The present work aims to provide a multi-period and multi-perspective evaluation framework to compare the sales and operational performance (SOP) of firms in an emerging market. SOP is one of the frontline KPIs that describes the efficiency and effectiveness of the sales and operations planning. There is a scantiness in the extant literature about well-defined indicators to measure SOP. The current work fills the gap in the literature by developing a hybrid multi-criteria decision making (MCDM) framework utilizing the Logarithmic Percentage Change-driven Objective Weighting (LOPCOW) and Evaluation based on Distance from Average Solution (EDAS) models for a novel application in assessing SOP. From the data analysis, it is also evident that there is a variations in the year wise ranking of the companies. However, all individual year wise rankings maintain statistically significant correlations with the aggregated ranking. For aggregation purpose, Borda Count Method is used. The companies like ITC Limited, Hindustan Unilever Ltd., Avanti Feeds Ltd., Britannia Industries Ltd., and Symphony Ltd. hold the top five positions on aggregate. The comparison with other MCDM models is made and sensitivity analysis is carried out. The present work is a first of its kind that would encourage the analysts and the policy makers to evaluate the sales and operational performance using a scientific way.","PeriodicalId":210048,"journal":{"name":"Int. J. Knowl. Based Intell. Eng. Syst.","volume":"73 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126394409","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: 3

Service composition based on genetic algorithm and fuzzy rules 基于遗传算法和模糊规则的服务组合

Int. J. Knowl. Based Intell. Eng. Syst. Pub Date : 2022-12-20 DOI: 10.3233/kes-220016

Mohammad Reza Gheisari, S. Emadi

{"title":"Service composition based on genetic algorithm and fuzzy rules","authors":"Mohammad Reza Gheisari, S. Emadi","doi":"10.3233/kes-220016","DOIUrl":"https://doi.org/10.3233/kes-220016","url":null,"abstract":"The expansion of service-oriented architecture and the increasing number of web services has led to an increase in demand for their use. But since a single service alone may not be enough to meet the most relatively complex business processes requirements, it is necessary to combine several individual services to deliver user satisfaction. By increasing the number of services that have the same functionality, the quality of service provided by each service will play an important role in the service selection process; in the process of service composition, different services with different quality parameters come together to provide a new task. Therefore, offering the best quality service to the user is considered an important issue. The challenging issues in the service composition process include how to combine the web services with quality parameters based on user preference, long response time for the composition process, large search space, and the correlation between the services. In this paper, the quality-based service composition is modeled by considering the relationship between the services to improve the quality of service (QoS) parameters. The proposed model consists of several steps. In the first step, the inappropriate services will be pruned by applying the correlation between the services. In the second step, by determining the quality levels for the QoS, the APSO algorithm is used to select the best levels and, finally, the best services. In the service combination stage, the services selected from the previous stage are combined using a fuzzy genetic algorithm (FGA) to create a suitable combination service. The results show that when the correlation between the services is considered, the response time criterion improves significantly by integrating the quality parameters and pruning the candidate services, and reduces the search space.","PeriodicalId":210048,"journal":{"name":"Int. J. Knowl. Based Intell. Eng. Syst.","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122872801","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

Machine learning approach for corona virus disease extrapolation: A case study 冠状病毒疾病外推的机器学习方法:案例研究

Int. J. Knowl. Based Intell. Eng. Syst. Pub Date : 2022-12-20 DOI: 10.3233/kes-220015

Kadali Dileep Kumar, N.V.Jagan Mohan Dr. Remani, Neelamadhab Padhy, S. C. Satapathy, Nagesh Salimath, Rahul Deo Sah

{"title":"Machine learning approach for corona virus disease extrapolation: A case study","authors":"Kadali Dileep Kumar, N.V.Jagan Mohan Dr. Remani, Neelamadhab Padhy, S. C. Satapathy, Nagesh Salimath, Rahul Deo Sah","doi":"10.3233/kes-220015","DOIUrl":"https://doi.org/10.3233/kes-220015","url":null,"abstract":"Supervised/unsupervised machine learning processes are a prevalent method in the field of Data Mining and Big Data. Corona Virus disease assessment using COVID-19 health data has recently exposed the potential application area for these methods. This study classifies significant propensities in a variety of monitored unsupervised machine learning of K-Means Cluster procedures and their function and use for disease performance assessment. In this, we proposed structural risk minimization means that a number of issues affect the classification efficiency that including changing training data as the characteristics of the input space, the natural environment, and the structure of the classification and the learning process. The three problems mentioned above improve the broad perspective of the trajectory cluster data prediction experimental coronavirus to control linear classification capability and to issue clues to each individual. K-Means Clustering is an effective way to calculate the built-in of coronavirus data. It is to separate unknown variables in the database for the disease detection process using a hyperplane. This virus can reduce the proposed programming model for K-means, map data with the help of hyperplane using a distance-based nearest neighbor classification by classifying subgroups of patient records into inputs. The linear regression and logistic regression for coronavirus data can provide valuation, and tracing the disease credentials is trial.","PeriodicalId":210048,"journal":{"name":"Int. J. Knowl. Based Intell. Eng. Syst.","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121305424","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

Application of artificial neural network model in predicting profitability of Indian banks 人工神经网络模型在印度银行盈利能力预测中的应用

Int. J. Knowl. Based Intell. Eng. Syst. Pub Date : 2022-12-20 DOI: 10.3233/kes-220020

Zericho R. Marak, Dilip Ambarkhane, A. Kulkarni

引用次数: 1

EDAS method for multiple attribute group decision making under spherical fuzzy environment 球形模糊环境下多属性群决策的EDAS方法

Int. J. Knowl. Based Intell. Eng. Syst. Pub Date : 2022-12-20 DOI: 10.3233/kes-220018

F. Diao, G. Wei

引用次数: 1