Pub Date : 2021-01-01DOI: 10.1504/ijica.2021.10043061
Xuewen Rong, Hui Zhang, Zhe Li, Yibin Li
{"title":"Terrain frames classification based on HMC for quadruped robot","authors":"Xuewen Rong, Hui Zhang, Zhe Li, Yibin Li","doi":"10.1504/ijica.2021.10043061","DOIUrl":"https://doi.org/10.1504/ijica.2021.10043061","url":null,"abstract":"","PeriodicalId":39390,"journal":{"name":"International Journal of Innovative Computing and Applications","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66984463","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}
Pub Date : 2021-01-01DOI: 10.1504/ijica.2021.10043062
Pan Ziyu, Yang Jie, Guo Nan
{"title":"Energy efficiency optimisation for heterogeneous cellular networks-based small cell power allocation","authors":"Pan Ziyu, Yang Jie, Guo Nan","doi":"10.1504/ijica.2021.10043062","DOIUrl":"https://doi.org/10.1504/ijica.2021.10043062","url":null,"abstract":"","PeriodicalId":39390,"journal":{"name":"International Journal of Innovative Computing and Applications","volume":"608 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66984533","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}
Pub Date : 2021-01-01DOI: 10.1504/ijica.2021.10043064
Zhanwei Wu, Tianpeng Zhang, Yafang Zhai
{"title":"Development of microcomputer protection and measuring-control device for 35 kV distribution line","authors":"Zhanwei Wu, Tianpeng Zhang, Yafang Zhai","doi":"10.1504/ijica.2021.10043064","DOIUrl":"https://doi.org/10.1504/ijica.2021.10043064","url":null,"abstract":"","PeriodicalId":39390,"journal":{"name":"International Journal of Innovative Computing and Applications","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66984846","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}
Pub Date : 2020-10-30DOI: 10.1504/ijica.2020.10033241
Raouf Mayata, A. Boukra
Data warehouses store current and historical data, which are used for creating reports, for the purpose of supporting decision-making. A data warehouse uses materialised views in order to reduce the query processing time. Since materialising all view is not possible, due to space and maintenance constraints, materialised view selection became one of the crucial decisions in designing a data warehouse for optimal efficiency. In this paper the authors present a new hybrid algorithm named (QCBO) based on both quantum inspired evolutionary algorithm (QEA) and colliding bodies optimisation (CBO) to resolve the materialised view selection (MVS) problem. Also, some aspects of the well-known greedy algorithm (HRU) are included. The experimental results show that QCBO provides a fair balance between exploitation and exploration. Comparative study reveals the efficiency of the proposed algorithm in term of solution quality compared to well-known algorithms.
{"title":"Hybrid algorithm for materialised view selection","authors":"Raouf Mayata, A. Boukra","doi":"10.1504/ijica.2020.10033241","DOIUrl":"https://doi.org/10.1504/ijica.2020.10033241","url":null,"abstract":"Data warehouses store current and historical data, which are used for creating reports, for the purpose of supporting decision-making. A data warehouse uses materialised views in order to reduce the query processing time. Since materialising all view is not possible, due to space and maintenance constraints, materialised view selection became one of the crucial decisions in designing a data warehouse for optimal efficiency. In this paper the authors present a new hybrid algorithm named (QCBO) based on both quantum inspired evolutionary algorithm (QEA) and colliding bodies optimisation (CBO) to resolve the materialised view selection (MVS) problem. Also, some aspects of the well-known greedy algorithm (HRU) are included. The experimental results show that QCBO provides a fair balance between exploitation and exploration. Comparative study reveals the efficiency of the proposed algorithm in term of solution quality compared to well-known algorithms.","PeriodicalId":39390,"journal":{"name":"International Journal of Innovative Computing and Applications","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45001211","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}
Pub Date : 2020-04-30DOI: 10.1504/ijica.2020.10029128
Fu-jun Gao
This paper first constructs two sets of datasets to demonstrate the effectiveness of the proposed method, one dataset consists of all human protein data, and the other is composed of human G protein-coupled receptor data, which accounts for a high proportion of drug targets. It extracts the corresponding primary structure, polypeptide characteristics and basic physicochemical properties of each protein in the dataset, feature selection is used to reduce the learning burden of classifier as the feature space of training classifier. Then the data are preprocessed and the optimal classifier is constructed by adjusting the parameters of the model. Datasets are classified by SVM classifier and Adaboost-SVM classifier respectively in the experimental construction and analysis part, analysed and compared the experimental results of two classifiers applied to two sets of datasets before and after data preprocessing, the classification results of the two groups were verified each other to increase the reliability of the classification results. The experimental results verify the effectiveness of the proposed method. At the same time, it shows that the method proposed in this paper can effectively predict drug targets, and provide a preliminary reference for drug research and development workers.
{"title":"Quantitative structure-activity analysis of predicted drug targets based on Adaboost-SVM","authors":"Fu-jun Gao","doi":"10.1504/ijica.2020.10029128","DOIUrl":"https://doi.org/10.1504/ijica.2020.10029128","url":null,"abstract":"This paper first constructs two sets of datasets to demonstrate the effectiveness of the proposed method, one dataset consists of all human protein data, and the other is composed of human G protein-coupled receptor data, which accounts for a high proportion of drug targets. It extracts the corresponding primary structure, polypeptide characteristics and basic physicochemical properties of each protein in the dataset, feature selection is used to reduce the learning burden of classifier as the feature space of training classifier. Then the data are preprocessed and the optimal classifier is constructed by adjusting the parameters of the model. Datasets are classified by SVM classifier and Adaboost-SVM classifier respectively in the experimental construction and analysis part, analysed and compared the experimental results of two classifiers applied to two sets of datasets before and after data preprocessing, the classification results of the two groups were verified each other to increase the reliability of the classification results. The experimental results verify the effectiveness of the proposed method. At the same time, it shows that the method proposed in this paper can effectively predict drug targets, and provide a preliminary reference for drug research and development workers.","PeriodicalId":39390,"journal":{"name":"International Journal of Innovative Computing and Applications","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44682868","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}
Pub Date : 2020-04-30DOI: 10.1504/ijica.2020.10029135
H. Liu, Zhiqing Zhang, Zhi-Jie Sun
The relationship between the police and citizens directly reflects that between the authority and the public, which play an important role in the social stability. Firstly, we design a hierarchy evaluation index system model about the harmony degree, with the help of questionnaires, based on the principle of designing an evaluation index system and five major factors that impact the police-citizen harmony relationship. Secondly, we set up a fuzzy comprehensive evaluation model based on an improved analysis hierarchy process (AHP). And then we make an empirical research on the harmony degree with the help of the model we set up. Finally, based on the conclusion of the empirical research, we make a propose to the government and the security department about how to promote the construction of the harmony police-citizen relationship. The research enriches the methods and means of evaluation on the harmony degree and exemplifies the empirical research.
{"title":"A fuzzy comprehensive evaluation model for smart city application","authors":"H. Liu, Zhiqing Zhang, Zhi-Jie Sun","doi":"10.1504/ijica.2020.10029135","DOIUrl":"https://doi.org/10.1504/ijica.2020.10029135","url":null,"abstract":"The relationship between the police and citizens directly reflects that between the authority and the public, which play an important role in the social stability. Firstly, we design a hierarchy evaluation index system model about the harmony degree, with the help of questionnaires, based on the principle of designing an evaluation index system and five major factors that impact the police-citizen harmony relationship. Secondly, we set up a fuzzy comprehensive evaluation model based on an improved analysis hierarchy process (AHP). And then we make an empirical research on the harmony degree with the help of the model we set up. Finally, based on the conclusion of the empirical research, we make a propose to the government and the security department about how to promote the construction of the harmony police-citizen relationship. The research enriches the methods and means of evaluation on the harmony degree and exemplifies the empirical research.","PeriodicalId":39390,"journal":{"name":"International Journal of Innovative Computing and Applications","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49283920","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}
Pub Date : 2020-04-30DOI: 10.1504/ijica.2020.10029126
Yue Jingya
In order to improve the compression efficiency of 3D model geometry reconstruction process, a MeTiS meshing-based Bayes 3D ship model geometry reconstruction algorithm is proposed. The original 3D mesh is subnetted by the MeTiS method at the coding end, and the geometrical shape of the subnet is coded by a random linear matrix, and the neighbour node of the boundary node is considered to construct the data sequence by the pseudo random number generator; then the Bayes algorithm is used to design the geometric model reconstruction algorithm, and the learning rules for the mean, variance matrix and model parameter are theoretically given, realising the geometric reconstruction of 3D model; finally, on the 3D model standard test library and 3D ship model, the simulation comparison with the GFT, LSM and CSGFT and other algorithms show that the proposed method has a relatively high bit rate compression index and a low reconstruction error, leading to significantly improved computational efficiency.
{"title":"MeTis meshing-based Bayes 3D ship model geometry reconstruction","authors":"Yue Jingya","doi":"10.1504/ijica.2020.10029126","DOIUrl":"https://doi.org/10.1504/ijica.2020.10029126","url":null,"abstract":"In order to improve the compression efficiency of 3D model geometry reconstruction process, a MeTiS meshing-based Bayes 3D ship model geometry reconstruction algorithm is proposed. The original 3D mesh is subnetted by the MeTiS method at the coding end, and the geometrical shape of the subnet is coded by a random linear matrix, and the neighbour node of the boundary node is considered to construct the data sequence by the pseudo random number generator; then the Bayes algorithm is used to design the geometric model reconstruction algorithm, and the learning rules for the mean, variance matrix and model parameter are theoretically given, realising the geometric reconstruction of 3D model; finally, on the 3D model standard test library and 3D ship model, the simulation comparison with the GFT, LSM and CSGFT and other algorithms show that the proposed method has a relatively high bit rate compression index and a low reconstruction error, leading to significantly improved computational efficiency.","PeriodicalId":39390,"journal":{"name":"International Journal of Innovative Computing and Applications","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45004889","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}
Pub Date : 2020-04-30DOI: 10.1504/ijica.2020.10029175
Sarosh K. Dastoor, U. Dalal, J. Sarvaiya
A heterogeneous network (HetNet) is a complex network made of variable cellular dimensions with different network topology. An erratic network design is valueless, unproductive and expensive. Research paper describes coordination of multipoint transmission, in which a collection of transmitting Base Stations (BS) dynamically harmonises their transmission among themselves, enhancing the coverage to the edge users. The proposed cellular planning strategy uses variable radii cells forming a cluster in a given region to be dimensioned. For a given cluster, minimum distance (dmin) between two cells has been calculated and using proposed (1/3 dmin) dimensioning technique, the coverage radius of cells in a cluster is made, forming a HetNet. By optimising the network; coverage, cost and energy requirements could be minimised and optimisation of network performance parameters like transmission power, tilt and azimuth angle of antenna with the radius of cell provides cost-efficient deployment of a network. The research paper proposes the mathematical dimensioning model for the design of a HetNet as well as its performance parameters using Taguchi's method – a soft computing approach. The proposed approach has been compared with the conventional constant radius approach for dimensioning a network. The total power required to transmit has been drastically reduced by 22.7% as compared to constant radius cellular planning strategy. In addition, throughput of the proposed method was found to be 41.5% higher than the constant radius approach.
{"title":"Optimisation of CoMP-based cellular network design and its radio network parameters for next generation HetNet using Taguchi's method","authors":"Sarosh K. Dastoor, U. Dalal, J. Sarvaiya","doi":"10.1504/ijica.2020.10029175","DOIUrl":"https://doi.org/10.1504/ijica.2020.10029175","url":null,"abstract":"A heterogeneous network (HetNet) is a complex network made of variable cellular dimensions with different network topology. An erratic network design is valueless, unproductive and expensive. Research paper describes coordination of multipoint transmission, in which a collection of transmitting Base Stations (BS) dynamically harmonises their transmission among themselves, enhancing the coverage to the edge users. The proposed cellular planning strategy uses variable radii cells forming a cluster in a given region to be dimensioned. For a given cluster, minimum distance (dmin) between two cells has been calculated and using proposed (1/3 dmin) dimensioning technique, the coverage radius of cells in a cluster is made, forming a HetNet. By optimising the network; coverage, cost and energy requirements could be minimised and optimisation of network performance parameters like transmission power, tilt and azimuth angle of antenna with the radius of cell provides cost-efficient deployment of a network. The research paper proposes the mathematical dimensioning model for the design of a HetNet as well as its performance parameters using Taguchi's method – a soft computing approach. The proposed approach has been compared with the conventional constant radius approach for dimensioning a network. The total power required to transmit has been drastically reduced by 22.7% as compared to constant radius cellular planning strategy. In addition, throughput of the proposed method was found to be 41.5% higher than the constant radius approach.","PeriodicalId":39390,"journal":{"name":"International Journal of Innovative Computing and Applications","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46002870","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}
Pub Date : 2020-04-30DOI: 10.1504/ijica.2020.10029124
Honghua Cao, Xiaoyan Yan, Yan Li
In order to improve the performance of traditional fingerprint detection method in the process of tracking the shared bicycle, the inertial sensor is used for data measurement. The particle filter (PF) method is a widely used sensor fusion algorithm, but the initialisation and weighting processes are problematic in shared bicycle positioning systems. In this paper, a new PF scheme is proposed, and it can produces smooth and stable localised knowledge. However, the feed-forward network that uses the single hidden layer is used to simulate the estimation and improvement of the performance of multiple probability to achieve the distinction of similar fingerprints. At the same time, the random sample consensus algorithm (RANSAC) is used to initialise the algorithm so as to reduce the convergence time. Experiments show that the tracking error of this scheme is less than 1.2 m, which is superior to the selected comparison method.
{"title":"SLFNs interpolation fingerprint particle filter-based shared bicycle tracking algorithm","authors":"Honghua Cao, Xiaoyan Yan, Yan Li","doi":"10.1504/ijica.2020.10029124","DOIUrl":"https://doi.org/10.1504/ijica.2020.10029124","url":null,"abstract":"In order to improve the performance of traditional fingerprint detection method in the process of tracking the shared bicycle, the inertial sensor is used for data measurement. The particle filter (PF) method is a widely used sensor fusion algorithm, but the initialisation and weighting processes are problematic in shared bicycle positioning systems. In this paper, a new PF scheme is proposed, and it can produces smooth and stable localised knowledge. However, the feed-forward network that uses the single hidden layer is used to simulate the estimation and improvement of the performance of multiple probability to achieve the distinction of similar fingerprints. At the same time, the random sample consensus algorithm (RANSAC) is used to initialise the algorithm so as to reduce the convergence time. Experiments show that the tracking error of this scheme is less than 1.2 m, which is superior to the selected comparison method.","PeriodicalId":39390,"journal":{"name":"International Journal of Innovative Computing and Applications","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42638999","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}
Pub Date : 2020-04-30DOI: 10.1504/ijica.2020.107142
Ravindranath Tagore Yadlapalli, Anuradha Kotapati
This paper presents the design of quadratic buck converter (QBC) for LED lamp driver applications. The LED current regulation is the critical issue in the family of LED lamp drivers. The continuous conduction mode-based quadratic buck converter is well designed for 60 V/20 mA at 100 kHz. The quadratic buck converter performance is analysed with digital-average current mode control-based quadratic buck converter and also fuzzy-average current mode control-based quadratic buck converter. The simulation is accomplished using MATLAB/Simulink software.
{"title":"Implementation of fuzzy logic controller-based quadratic buck converter for LED lamp driver applications","authors":"Ravindranath Tagore Yadlapalli, Anuradha Kotapati","doi":"10.1504/ijica.2020.107142","DOIUrl":"https://doi.org/10.1504/ijica.2020.107142","url":null,"abstract":"This paper presents the design of quadratic buck converter (QBC) for LED lamp driver applications. The LED current regulation is the critical issue in the family of LED lamp drivers. The continuous conduction mode-based quadratic buck converter is well designed for 60 V/20 mA at 100 kHz. The quadratic buck converter performance is analysed with digital-average current mode control-based quadratic buck converter and also fuzzy-average current mode control-based quadratic buck converter. The simulation is accomplished using MATLAB/Simulink software.","PeriodicalId":39390,"journal":{"name":"International Journal of Innovative Computing and Applications","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1504/ijica.2020.107142","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42525053","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}
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