International Journal of Computational and Applied Mathematics & Computer Science最新文献

The Use of Markov Chain Model for Rating Location Based Turbine Performance 使用马尔可夫链模型评定基于位置的涡轮机性能

International Journal of Computational and Applied Mathematics & Computer Science Pub Date : 2024-05-15 DOI: 10.37394/232028.2024.4.1

Gongsin Isaac Esbond, Funmilayo W. O. Saporu

引用次数: 0

Some Properties of Quaternion Algebra over the Sets of Real and Complex Numbers 实数和复数集合上的四元数代数的一些特性

International Journal of Computational and Applied Mathematics & Computer Science Pub Date : 2023-12-18 DOI: 10.37394/232028.2023.3.14

Țugui (Baias) Andreea-Elena

引用次数: 0

Alpha Fractal Rational Quintic Spline with Shape Preserving Properties 具有形状保持特性的阿尔法分形有理五次样条曲线

International Journal of Computational and Applied Mathematics & Computer Science Pub Date : 2023-12-11 DOI: 10.37394/232028.2023.3.13

Shamli Shrama Gautam, Kuldip Katiyar

引用次数: 0

Discourse Network Analysis (DNA) on Preference Consumers on Food Products Made From Modified Cassava Flour (MOCAF) 消费者对改性木薯粉食品偏好的话语网络分析(DNA)

International Journal of Computational and Applied Mathematics & Computer Science Pub Date : 2023-07-12 DOI: 10.37394/232028.2023.3.6

Riyanti Isaskar, Febriananda Faizal, N. F. Rayesa

{"title":"Discourse Network Analysis (DNA) on Preference Consumers on Food Products Made From Modified Cassava Flour (MOCAF)","authors":"Riyanti Isaskar, Febriananda Faizal, N. F. Rayesa","doi":"10.37394/232028.2023.3.6","DOIUrl":"https://doi.org/10.37394/232028.2023.3.6","url":null,"abstract":"The purpose of this research is to see consumer preferences for food products made from MOCAF by using Discourse Network Analysis (DNA). Using DNA analysis, issues and concepts of issues can be obtained which can be used as indicators and variables that determine consumer preferences for food products made from MOCAF raw materials. The analysis used in this research is DNA analysis. Sources of DNA data come from various information in cyberspace in accordance with the research context. DNA data processing will produce statements, actors, concepts/issues, and sentiments, along with the origin of the organization that can be used as variables and the relationship between existing variables can be known. The findings of this study are obtained variables that can be used to determine consumer preferences for food products made from MOCAF that is product quality, product service quality, Indonesian import quantity, consumer satisfaction and marketing strategy. Originality in this study is the use of DNA analysis in determining the variables used in viewing consumer preferences for food products made from MOCAF. There is no previous research that discusses consumer preferences for food products made from MOCAF by using DNA analysis in determining the variables used.","PeriodicalId":191618,"journal":{"name":"International Journal of Computational and Applied Mathematics & Computer Science","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125361116","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

Underwater Acoustic Noise Cancellation Scheme Combining Kalman Filter With Adaptive FxNLMS 结合卡尔曼滤波和自适应FxNLMS的水声降噪方案

International Journal of Computational and Applied Mathematics & Computer Science Pub Date : 2023-07-12 DOI: 10.37394/232028.2023.3.5

Md. Mostafizur Rahman, Sumonto Sarker

引用次数: 0

A High Order P-type Iterative Learning Control Scheme for Unknown Multi Input Multi Output Nonlinear Systems with Unknown Input Saturation 未知多输入多输出非线性系统的高阶p型迭代学习控制方法

International Journal of Computational and Applied Mathematics & Computer Science Pub Date : 2023-07-10 DOI: 10.37394/232028.2023.3.4

T. Bensidhoum, Farah Bouakrif, M. Zasadzinski

{"title":"A High Order P-type Iterative Learning Control Scheme for Unknown Multi Input Multi Output Nonlinear Systems with Unknown Input Saturation","authors":"T. Bensidhoum, Farah Bouakrif, M. Zasadzinski","doi":"10.37394/232028.2023.3.4","DOIUrl":"https://doi.org/10.37394/232028.2023.3.4","url":null,"abstract":"In this paper, a new high order P-type iterative learning control scheme is presented to solve the trajectory tracking problem of Multi Input Multi Output (MIMO) nonlinear systems with unknown input saturation. It is well known that most systems can be affected by input uncertainties such as saturation. This undesirable input has the potential to destabilize the system. Thus, it is important to mitigate the effect of saturation. In this paper, we take this problem into account. In addition, the controller scheme is very simple, in which the control input in each trial is adjusted by using the tracking error signals obtained from previous and current trials. As the iterations continue, the control system eventually learns the task and follows the desired trajectory with little or no errors. The asymptotic stability of the closed loop system under unknown input saturation is guaranteed over the whole finite time by using the λ-norm method. Finally, to illustrate the effectiveness of the proposed method, simulation results are presented.","PeriodicalId":191618,"journal":{"name":"International Journal of Computational and Applied Mathematics & Computer Science","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127558211","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

Deep Learning-Based Vehicle Type Detection and Classification 基于深度学习的车辆类型检测与分类

International Journal of Computational and Applied Mathematics & Computer Science Pub Date : 2023-06-02 DOI: 10.37394/232028.2023.3.3

N. Pethiyagoda, Mwp Maduranga, D. Kulasekara, Tl Weerawardane

{"title":"Deep Learning-Based Vehicle Type Detection and Classification","authors":"N. Pethiyagoda, Mwp Maduranga, D. Kulasekara, Tl Weerawardane","doi":"10.37394/232028.2023.3.3","DOIUrl":"https://doi.org/10.37394/232028.2023.3.3","url":null,"abstract":"Modern intelligent transportation systems heavily rely on vehicle-type classification technology. Deep learning-based vehicle-type categorization technology has sparked growing concern as image processing, pattern recognition, and deep learning have all advanced. Over the past few years, convolutional neural work, in particular You Only Look Once (YOLO), has shown to have considerable advantages in object detection and image classification. This method speeds up detection because it can predict objects in real time. High accuracy: The YOLO prediction method produces accurate results with low background errors. YOLO also understands generalized object representation. This approach, which is among the best at object detection, outperforms R-CNN approaches by a wide margin. In this paper, YOLOv5 is used to demonstrate vehicle type detection; the YOLOv5m model was chosen since it suits mobile deployments, the model was trained with a dataset of 3000 images, where 500 images were allocated for each class with a variety of vehicles. Hyperparameter tuning was applied to optimize the model for better prediction and accuracy. Experimental results for a batch size of 32 trained for 300 epochs show a precision of 98.2%, recall of 94.9%, mAP@.5 of 97.9%, mAP@.5:.95 of 92.8%, and overall accuracy of 95.3% trained and tested on four vehicle classes.","PeriodicalId":191618,"journal":{"name":"International Journal of Computational and Applied Mathematics & Computer Science","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116425338","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

Weighted OWA (Ordered Weighted Averaging Operator) Preference Aggregation for Group Multicriteria Decisions 群体多准则决策的加权OWA(有序加权平均算子)偏好聚合

International Journal of Computational and Applied Mathematics & Computer Science Pub Date : 2023-05-08 DOI: 10.37394/232028.2023.3.2

Georgios Rigopoulos

{"title":"Weighted OWA (Ordered Weighted Averaging Operator) Preference Aggregation for Group Multicriteria Decisions","authors":"Georgios Rigopoulos","doi":"10.37394/232028.2023.3.2","DOIUrl":"https://doi.org/10.37394/232028.2023.3.2","url":null,"abstract":"Group decision making is an integral part of operations and management functions in almost every business domain with substantial applications in finance and economics. In parallel to human decision makers, software agents operate in business systems and environments, collaborate, compete and perform algorithmic decision-making tasks as well. In both settings, information aggregation of decision problem parameters and agent preferences is a necessary step to generate group decision outcome. Although plenty aggregation information approaches exist, overcomplexity of the underlying aggregating operation, in most of them, is a drawback, especially for human based group decisions in practice. In this work we introduce an aggregation method for group decision setting, based on the Weighted Ordered Averaging Operator (WOWA). The aggregation is applied on decision maker preferences, following the majority concept to generate a unique set of preferences as input for the decision algorithm. We present the theoretical construction of the model and an application at a group multicriteria assignment decision problem, along with detailed numerical results. The proposed method contributes in the field, as it offers a novel approach that is simple and intuitive, and avoids overcomplexity during group decision process. The method can be also easily deployed into artificial environments and algorithmic decision-making mechanisms.","PeriodicalId":191618,"journal":{"name":"International Journal of Computational and Applied Mathematics & Computer Science","volume":"163 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132326209","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

The Influence of Nonlinear Cannibalism to Logistic Equation 非线性食人对Logistic方程的影响

International Journal of Computational and Applied Mathematics & Computer Science Pub Date : 2023-04-10 DOI: 10.37394/232028.2023.3.1

Fengde Chen, Ting Zhou, Qun Zhu, Qianqian Li

引用次数: 0

Data Migration from Visual Basic Interfaces to Excel Tables Prevent Conflict Using Proposed Models 从Visual Basic界面到Excel表格的数据迁移使用建议的模型防止冲突

International Journal of Computational and Applied Mathematics & Computer Science Pub Date : 2022-12-31 DOI: 10.37394/232028.2022.2.18

Hassan B. Hashim

{"title":"Data Migration from Visual Basic Interfaces to Excel Tables Prevent Conflict Using Proposed Models","authors":"Hassan B. Hashim","doi":"10.37394/232028.2022.2.18","DOIUrl":"https://doi.org/10.37394/232028.2022.2.18","url":null,"abstract":"In relational and complex spreadsheets, relational and non-relational database models, high-speed data migration with scalable structure using visual Basic Excel programming language implementations with proposed migration model. One of the primary purposes behind making a point of interaction through the Visual Basic Application (VBA) is that most PC clients with logical preparation will currently know about Succeed and its significant capabilities (like arranging furthermore, plotting datasets). Even though Excel itself is in many cases utilized as an information storehouse by clients. The time factor, reliability, and credibility of migrating this data from one table to another through programming interfaces were measured using the link codes between the tables. In this paper, the migration and migration of homogeneous and heterogeneous data are investigated by using two types of different migration models of data to measure and match these data and the extent of their integration after migration. Specifies the target data for migration from the input tables in the Excel program to the target tables in larger databases. Furthermore, the two models (A, B) middleware provide an architecture that can be extended to support Relational database management systems (RDBMS) and other graphing databases. Experiments were performed using excel tables, both of which are related as source information bases, and as the data set for the source and target datasets, the migration time between these tables for the two models was calculated While retaining the same characteristics.","PeriodicalId":191618,"journal":{"name":"International Journal of Computational and Applied Mathematics & Computer Science","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130265004","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

International Journal of Computational and Applied Mathematics &amp; Computer Science最新文献

International Journal of Computational and Applied Mathematics & Computer Science最新文献