Int. J. Comput. Commun. Control最新文献_第6页

An Enhanced Neural Graph based Collaborative Filtering with Item Knowledge Graph 基于增强神经图的项目知识图协同过滤

Int. J. Comput. Commun. Control Pub Date : 2022-07-20 DOI: 10.15837/ijccc.2022.4.4568

M. Sangeetha, Meera Devi Thiagarajan

{"title":"An Enhanced Neural Graph based Collaborative Filtering with Item Knowledge Graph","authors":"M. Sangeetha, Meera Devi Thiagarajan","doi":"10.15837/ijccc.2022.4.4568","DOIUrl":"https://doi.org/10.15837/ijccc.2022.4.4568","url":null,"abstract":"Recommendation system is a process of filtering information to retain buyers on e-commerce sites or applications. It is used on all e-commerce sites, social media platform and multimedia platform. This recommendation is based on their own experience or experience between users. In recent days, the graph-based filtering techniques are used for the recommendation to improve the suggestions and for easy analysing. Neural graph based collaborative filtering is also one of the techniques used for recommendation system. It is implemented on the benchmark datasets like Yelp, Gowalla and Amazon books. This technique can suggest better recommendations as compared to the existing graph based or convolutional based networks. However, it requires higher processing time for convolutional neural network for performing limited suggestions. Hence, in this paper, an improved neural graph collaborative filtering is proposed. Here, the content-based filtering is performed before the collaborative filtering process. Then, the embedding layer will process on both the recommendations to provide a higher order relation between the users and items. As the suggestion is based on hybrid recommendation, the processing time of Convolutional neural network is reduced by reducing the number of epochs. Due to this, the final recommendation is not affected by the smaller number of epochs and also able to reduce its computational time. The whole process is realized in Python 3.6 under windows 10 environment on benchmark datasets Go Walla and Amazon books. Based on the comparison of recall and NDCG metric, the proposed neural graph-based filtering outperforms the collaborative filtering based on graph convolution neural network.","PeriodicalId":179619,"journal":{"name":"Int. J. Comput. Commun. Control","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130209048","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: 2

A Parallel FP-Growth Mining Algorithm with Load Balancing Constraints for Traffic Crash Data 基于负载均衡约束的交通碰撞数据并行fp增长挖掘算法

Int. J. Comput. Commun. Control Pub Date : 2022-07-20 DOI: 10.15837/ijccc.2022.4.4806

Yang Yang, Na Tian, Yunpeng Wang, Zhen-zhou Yuan

{"title":"A Parallel FP-Growth Mining Algorithm with Load Balancing Constraints for Traffic Crash Data","authors":"Yang Yang, Na Tian, Yunpeng Wang, Zhen-zhou Yuan","doi":"10.15837/ijccc.2022.4.4806","DOIUrl":"https://doi.org/10.15837/ijccc.2022.4.4806","url":null,"abstract":"Traffic safety is an important part of the roadway in sustainable development. Freeway traffic crashes typically cause serious casualties and property losses, being a serious threat to public safety. Figuring out the potential correlation between various risk factors and revealing their coupling mechanisms are of effective ways to explore and identity freeway crash causes. However, the existing association rule mining algorithms still have some limitations in both efficiency and accuracy. Based on this consideration, using the freeway traffic crash data obtained from WDOT (Washington Department of Transportation), this research constructed a multi-dimensional multilevel system for traffic crash analysis. Considering the load balancing, the FP-Growth (Frequent Pattern- Growth) algorithm was optimized parallelly based on Hadoop platform, to achieve an efficient and accurate association rule mining calculation for massive amounts of traffic crash data; then, according to the results of the coupling mechanism among the crash precursors, the causes of freeway traffic crashes were identified and revealed. The results show that the parallel FPgrowth algorithm with load balancing constraints has a better operating speed than both the conventional FP-growth algorithm and parallel FP-growth algorithm towards processing big data. This improved algorithm makes full use of Hadoop cluster resources and is more suitable for large traffic crash data sets mining while retaining the original advantages of conventional association rule mining algorithm. In addition, the mining association rules model with the improvement of multi-dimensional interaction proposed in this research can catch the occurrence mechanism of freeway traffic crash with serious consequences (lower support degree probably) accurately and efficiently.","PeriodicalId":179619,"journal":{"name":"Int. J. Comput. Commun. Control","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129142574","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: 9

Distributed Adaptive Control for Nonlinear Heterogeneous Multi-agent Systems with Different Dimensions and Time Delay 非线性异构多智能体系统的分布式自适应控制

Int. J. Comput. Commun. Control Pub Date : 2022-07-20 DOI: 10.15837/ijccc.2022.4.4800

Bo Qin, Shuo Yang, Yongqing Fan

引用次数: 0

A Modified Uncertainty Measure of Z-numbers 一种改进的z数不确定度测度

Int. J. Comput. Commun. Control Pub Date : 2022-07-20 DOI: 10.15837/ijccc.2022.4.4862

F. J. Cabrerizo, Yangxue Li, E. Herrera-Viedma, J. A. Morente-Molinera

引用次数: 3

A Novel Self-organizing Fuzzy Cerebellar Model Articulation Controller Based Overlapping Gaussian Membership Function for Controlling Robotic System 基于重叠高斯隶属度函数的自组织模糊小脑模型关节控制器控制机器人系统

Int. J. Comput. Commun. Control Pub Date : 2022-07-20 DOI: 10.15837/ijccc.2022.4.4606

Thanhquyen Ngo, Dinh-Khoi Hoang, Trong-Toan Tran, Anh-Tuan Nguyen

{"title":"A Novel Self-organizing Fuzzy Cerebellar Model Articulation Controller Based Overlapping Gaussian Membership Function for Controlling Robotic System","authors":"Thanhquyen Ngo, Dinh-Khoi Hoang, Trong-Toan Tran, Anh-Tuan Nguyen","doi":"10.15837/ijccc.2022.4.4606","DOIUrl":"https://doi.org/10.15837/ijccc.2022.4.4606","url":null,"abstract":"This paper introduces an effective intelligent controller for robotic systems with uncertainties. The proposed method is a novel self-organizing fuzzy cerebellar model articulation controller (NSOFC) which is a combination of a cerebellar model articulation controller (CMAC) and sliding mode control (SMC). We also present a new Gaussian membership function (GMF) that is designed by the combination of the prior and current GMF for each layer of CMAC. In addition, the relevant data of the prior GMF is used to check tracking errors more accurately. The inputs of the proposed controller can be mixed simultaneously between the prior and current states according to the corresponding errors. Moreover, the controller uses a self-organizing approach which can increase or decrease the number of layers, therefore the structures of NSOFC can be adjusted automatically. The proposed method consists of a NSOFC controller and a compensation controller. The NSOFC controller is used to estimate the ideal controller, and the compensation controller is used to eliminate the approximated error. The online parameters tuning law of NSOFC is designed based on Lyapunov’s theory to ensure stability of the system. Finally, the experimental results of a 2 DOF robot arm are used to demonstrate the efficiency of the proposed controller.","PeriodicalId":179619,"journal":{"name":"Int. J. Comput. Commun. Control","volume":"114 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124160352","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

Approximating the Level Curves on Pascal's Surface 近似帕斯卡曲面上的水平曲线

Int. J. Comput. Commun. Control Pub Date : 2022-07-20 DOI: 10.15837/ijccc.2022.4.4865

L. Dăuş, Marilena Jianu, Mariana Nagy, Roxana-Mariana Beiu

{"title":"Approximating the Level Curves on Pascal's Surface","authors":"L. Dăuş, Marilena Jianu, Mariana Nagy, Roxana-Mariana Beiu","doi":"10.15837/ijccc.2022.4.4865","DOIUrl":"https://doi.org/10.15837/ijccc.2022.4.4865","url":null,"abstract":"It is well-known that in general the algorithms for determining the reliability polynomial associated to a two-terminal network are computationally demanding, and even just bounding the coefficients can be taxing. Obviously, reliability polynomials can be expressed in Bernstein form, hence all the coefficients of such polynomials are fractions of the binomial coefficients. That is why we have very recently envisaged using an extension of the classical discrete Pascal’s triangle (which comprises all the binomial coefficients) to a continuous version/surface. The fact that this continuous Pascal’s surface has real values in between the binomial coefficients makes it appealing as being a mathematical concept encompassing all the coefficients of all the reliability polynomials (which are integers, as resulting from counting processes) and more. This means that, the coefficients of any reliability polynomial can be represented as discrete steps (on level curves of integer values) on Pascal’s surface. The equation of this surface was formulated by means of the gamma function, for which quite a few approximation formulas are known. Therefore, we have started by reviewing many of those results, and have used a selection of those approximations for the level curves problem on Pascal’s surface. Towards the end, we present fresh simulations supporting the claim that some of these could be quite useful, as being both (reasonably) easy to calculate as well as fairly accurate.","PeriodicalId":179619,"journal":{"name":"Int. J. Comput. Commun. Control","volume":"233 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133105296","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

A Personalized mHealth Monitoring System for Children and Adolescents with T1 Diabetes by Utilizing IoT Sensors and Assessing Physical Activities 利用物联网传感器和评估身体活动的T1型糖尿病儿童和青少年个性化移动健康监测系统

Int. J. Comput. Commun. Control Pub Date : 2022-04-15 DOI: 10.15837/ijccc.2022.3.4558

N. Zholdas, M. Mansurova, O. Postolache, M. Kalimoldayev, T. Sarsembayeva

{"title":"A Personalized mHealth Monitoring System for Children and Adolescents with T1 Diabetes by Utilizing IoT Sensors and Assessing Physical Activities","authors":"N. Zholdas, M. Mansurova, O. Postolache, M. Kalimoldayev, T. Sarsembayeva","doi":"10.15837/ijccc.2022.3.4558","DOIUrl":"https://doi.org/10.15837/ijccc.2022.3.4558","url":null,"abstract":"The problem of diabetes mellitus is becoming alarming due to the increase in morbidity among children. Patients are undergoing vital insulin replacement therapy, the dose depends on the level of glucose in the blood. The glucose level prediction program, taking into account the impact of physical activity on the body, the use of mobile health capabilities will allow us to develop personalized tactics for a child patient and minimize the risks of a critical health condition. The target group of this study are children and adolescents with type 1 diabetes. This study provides an IoT based mHealth monitoring system, including sensors, medical bracelets, mobile devices with applications. The mobile healthcare application for personalized monitoring can implement the functions of more effectively targeting young users to support their own health and improve the quality of life. In addition to monitoring blood glucose levels, the effect of physical activity on the condition of patients is also taken into account. The use of the proposed method for calculating the probable change in the patient’s blood glucose level after the end of physical activity will allow the doctor to make individual recommendations for the diet before the start of physical activity and its intensity.","PeriodicalId":179619,"journal":{"name":"Int. J. Comput. Commun. Control","volume":"148 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132267580","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

Analysis of a Public and Private Networks for Nutrient Measurement System using LoRawan Network 基于LoRawan网络的公共和专用网络养分测量系统分析

Int. J. Comput. Commun. Control Pub Date : 2022-04-10 DOI: 10.15837/ijccc.2022.3.4619

D. Perdana, Cahya Ariateja, Ibnu Alinursafa, Ongko Cahyono

引用次数: 0

Fault Detection in Three-phase Induction Motor based on Data Acquisition and ANN based Data Processing 基于数据采集和神经网络数据处理的三相异步电动机故障检测

Int. J. Comput. Commun. Control Pub Date : 2022-04-08 DOI: 10.15837/ijccc.2022.3.4788

O. Moldovan, R. Ghincu, Alin Octavian Moldovan, D. Noje, R. Ţarcă

引用次数: 2

Substantial Phase Exploration for Intuiting Covid using form Expedient with Variance Sensor 使用形式权宜之计和方差传感器进行直观Covid的实质性阶段探索

Int. J. Comput. Commun. Control Pub Date : 2022-03-31 DOI: 10.15837/ijccc.2022.3.4539

Radha Raman Chandan, P. Kshirsagar, H. Manoharan, Khalid Mohamed El-Hady, S. Islam, Mohammad Shahiq Khan, Abhay Chaturvedi

引用次数: 3