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Improving network lifetime and speed for 6LoWPAN networks using machine learning 使用机器学习改善6LoWPAN网络的网络寿命和速度
Int. J. Intell. Syst. Technol. Appl. Pub Date : 2020-09-23 DOI: 10.1504/ijista.2020.10027027
S. Kharche, S. Pawar
{"title":"Improving network lifetime and speed for 6LoWPAN networks using machine learning","authors":"S. Kharche, S. Pawar","doi":"10.1504/ijista.2020.10027027","DOIUrl":"https://doi.org/10.1504/ijista.2020.10027027","url":null,"abstract":"Wireless communication networks have an inherent optimisation problem of effectively routing data between nodes. This problem is multi-objective in nature, and covers optimisation of routing speed, the network lifetime, packet delivery ratio and overall network throughput. In this paper, a machine learning (ML)-based algorithm is proposed with an objective to minimise the network delay and increase network lifetime for 6LoWPAN networks based on RPL routing. The ML-based approach is compared with normal RPL routing in order to check the performance of the system when compared to recent routing protocols. It is observed that the proposed machine learning-based approach reduces the network delay by more than 20% and improves the network lifetime by more than 25% when compared to RPL-based 6LoWPAN networks. The machine learning approach also takes into account the link quality between the nodes, thereby improving the overall QoS of the communication system by selecting paths with minimal delay, minimal energy consumption and maximum link quality.","PeriodicalId":420808,"journal":{"name":"Int. J. Intell. Syst. Technol. Appl.","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133143059","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
Image matching technique based on SURF descriptors for offline handwritten Arabic word segmentation 基于SURF描述符的离线手写阿拉伯语分词图像匹配技术
Int. J. Intell. Syst. Technol. Appl. Pub Date : 2020-06-26 DOI: 10.1504/ijista.2020.10030203
M. Kef, L. Chergui
{"title":"Image matching technique based on SURF descriptors for offline handwritten Arabic word segmentation","authors":"M. Kef, L. Chergui","doi":"10.1504/ijista.2020.10030203","DOIUrl":"https://doi.org/10.1504/ijista.2020.10030203","url":null,"abstract":"Image matching is an important task with many applications in computer vision and robotics. Recently, several scale-invariant features have been proposed in the literature and one of them is the local descriptors namely speeded-up robust features (SURF). Those features are scale and rotation-invariant descriptor, and have the advantage to being calculated quickly and efficiently. In this paper we presents a new segmentation system of handwritten Arabic words based on SURF descriptors. Firstly, a set of Arabic characters images were used to build 106 characters' patterns, which are used by a segmentation process based on an image matching technique. Tests were performed on our new databese of handwritten Arabic words. A high correct segmentation rate was reported.","PeriodicalId":420808,"journal":{"name":"Int. J. Intell. Syst. Technol. Appl.","volume":"58 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126284843","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
Improved motorised spindle control using a biogeography-based optimisation algorithm 采用基于生物地理的优化算法改进电主轴控制
Int. J. Intell. Syst. Technol. Appl. Pub Date : 2020-06-26 DOI: 10.1504/ijista.2020.10030205
Yu Hou Wu, Zhen-ning Pan, Li Xiu Zhang
{"title":"Improved motorised spindle control using a biogeography-based optimisation algorithm","authors":"Yu Hou Wu, Zhen-ning Pan, Li Xiu Zhang","doi":"10.1504/ijista.2020.10030205","DOIUrl":"https://doi.org/10.1504/ijista.2020.10030205","url":null,"abstract":"The BBO algorithm is introduced to estimate the equivalent stator resistance in the classical DTC method. BBO algorithm achieves the purpose of suppressing current harmonics and reducing torque by improving the online identification accuracy of the stator resistance of the motorised spindle, thus improving the performance of the motorised spindle control system. The vibrational speed of the electric spindle is significantly reduced at each operating frequency after using the BBO-DTC algorithm. The torque ripple of the electric spindle is obviously reduced, especially at 150 Hz and from 450~600 Hz. Analyses of the electromagnetic vibration speed of the electric spindle and the experimental input torque data indicate that the control performance of the BBO-DTC algorithm is improved. Not only is the dynamic performance of the system improved, but variations in the electromagnetic flux and the electromagnetic torque are also reduced. The control performance of motorised spindle is effectively improved.","PeriodicalId":420808,"journal":{"name":"Int. J. Intell. Syst. Technol. Appl.","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129985573","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
Deploying NSBA algorithm for bi-objective manufacturing cells considering percentage utilisation of machines 考虑机器利用率百分比的双目标制造单元部署NSBA算法
Int. J. Intell. Syst. Technol. Appl. Pub Date : 2020-06-26 DOI: 10.1504/ijista.2020.10030206
Tamal Ghosh, K. Martinsen
{"title":"Deploying NSBA algorithm for bi-objective manufacturing cells considering percentage utilisation of machines","authors":"Tamal Ghosh, K. Martinsen","doi":"10.1504/ijista.2020.10030206","DOIUrl":"https://doi.org/10.1504/ijista.2020.10030206","url":null,"abstract":"Percentage utilisation of machines is considered as an important production factor for manufacturing cell formation problem (CFP) in cellular manufacturing (CM). This recently developed concept correctly emphasises ratio data in context of CM. In this paper, an utilisation-based bi-objective mathematical model is developed, which minimises the total machine utilisation induced by bottleneck machines and number of voids. Thereafter, a new data-generating algorithm is introduced. The abovementioned bi-objective CFP is solved using a non-dominated sorting bat algorithm (NSBA), which is compared with published multi-objective bat algorithm (MOBA) successfully. Statistical tests are conducted and data consistency is confirmed on obtained results. The computational experiments depict that the Pareto solutions of NSBA are 35.7% improved. The contribution of this research is threefold. First, an accurate bi-objective mathematical expression is developed for utilisation-based CFPs. Second, a novel data-generating algorithm is stated. Third, NSBA technique is successfully tested.","PeriodicalId":420808,"journal":{"name":"Int. J. Intell. Syst. Technol. Appl.","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125118411","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
On collaborative filtering model optimised with multi-item attribute information space for enhanced recommendation accuracy 基于多条目属性信息空间优化的协同过滤模型，提高推荐精度
Int. J. Intell. Syst. Technol. Appl. Pub Date : 2020-06-26 DOI: 10.1504/ijista.2020.10030202
F. Isinkaye, Y. Folajimi, A. B. Adeyemo
{"title":"On collaborative filtering model optimised with multi-item attribute information space for enhanced recommendation accuracy","authors":"F. Isinkaye, Y. Folajimi, A. B. Adeyemo","doi":"10.1504/ijista.2020.10030202","DOIUrl":"https://doi.org/10.1504/ijista.2020.10030202","url":null,"abstract":"Recommender system is a type of information filtering system that is designed to curtail the difficulties of information overload by automatically suggesting relevant items to users tailored to their preferences. Bayesian personalised smart linear methods (BPRSLIM) is a variant of item-based collaborative filtering technique used in information filtering system. Although, this algorithm has shown outstanding performance in a range of applications, nevertheless it suffers serious limitation of inability to provide accurate and reliable recommendations when the user-item matrix contains insufficient rating information, this always reduces its accuracy. In this paper, we propose a framework that integrates multi-item attribute information besides the classic information of users and items into BPRSLIM model in order to ease the sparsity problem associated with it and hence improves its performance accuracy. The enhanced model is expected to outperform the original BPRSLIM model.","PeriodicalId":420808,"journal":{"name":"Int. J. Intell. Syst. Technol. Appl.","volume":"91 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122529217","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
Application of artificial intelligence to wind power generation: modelling, control and fault detection 人工智能在风力发电中的应用:建模、控制和故障检测
Int. J. Intell. Syst. Technol. Appl. Pub Date : 2020-06-26 DOI: 10.1504/ijista.2020.10030207
Hadjira Bouazza, M. L. Bendaas, T. Allaoui, M. Denai
{"title":"Application of artificial intelligence to wind power generation: modelling, control and fault detection","authors":"Hadjira Bouazza, M. L. Bendaas, T. Allaoui, M. Denai","doi":"10.1504/ijista.2020.10030207","DOIUrl":"https://doi.org/10.1504/ijista.2020.10030207","url":null,"abstract":"Power converters play a key-role in the grid-integration of wind power generation and as any physical device, they are prone to mal function and failure. There is, therefore, a need for converter health monitoring and fault detection to ensure a reliable and sustainable operation of the wind turbine. This paper presents different artificial intelligence-based fault detection using fuzzy and neuro-fuzzy techniques. The proposed methods are designed for the detection of one or two open-circuit fault in the power switches of the rotor side converter (RSC) of a doubly-fed induction generator (DFIG) wind energy conversion system (WECS). In the proposed detection method only the average values of the three-phase rotor current are used to identify the faulty switch. Alongside these condition monitoring strategies, the paper also present two fuzzy logic-based controllers for the regulation of the real and reactive power flow between the grid and the converter. The performances of the controllers are evaluated under different operating conditions of the power system and the reliability, feasibility and the effectiveness of the proposed fault detection have been verified under various open-switch fault conditions.","PeriodicalId":420808,"journal":{"name":"Int. J. Intell. Syst. Technol. Appl.","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132543854","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: 4
Automatic sizing of CMOS-based analogue circuits using Cuckoo search algorithm 基于布谷鸟搜索算法的cmos模拟电路自动定径
Int. J. Intell. Syst. Technol. Appl. Pub Date : 2020-04-29 DOI: 10.1504/ijista.2020.10029017
Pankaj P. Prajapati, M. Shah
{"title":"Automatic sizing of CMOS-based analogue circuits using Cuckoo search algorithm","authors":"Pankaj P. Prajapati, M. Shah","doi":"10.1504/ijista.2020.10029017","DOIUrl":"https://doi.org/10.1504/ijista.2020.10029017","url":null,"abstract":"The increasing complexity of physical models of MOSFET and process variations with downscaling of CMOS technology have made the manual design of analogue circuits challenging and time-consuming. Therefore, development of efficient automatic analogue circuit design techniques looks very attractive. In this work, the Cuckoo search (CS) algorithm has been tested for the optimum design of CMOS-based analogue circuits with high optimisation fitness. The CS algorithm has been implemented using C language and interfaced with Ng-spice circuit simulator. In this work, the CS algorithm has been used as a searching tool for transistor sizing and Ng-spice has been used as a fitness creator. Various analogue circuits like CMOS common-source amplifier, CMOS cascode amplifier and CMOS differential amplifier using a current mirror load have been optimised using this automatic optimisation tool with BSIM 3v3 MOSFET models using 180 nm CMOS technology. This technique gives more accurate results and consumes less time as compared to manual circuit design.","PeriodicalId":420808,"journal":{"name":"Int. J. Intell. Syst. Technol. Appl.","volume":"64 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122198740","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 QoS-aware virtual resource pricing service based on game theory in federated clouds 基于博弈论的联邦云中qos感知的虚拟资源定价服务
Int. J. Intell. Syst. Technol. Appl. Pub Date : 2020-04-28 DOI: 10.1504/ijista.2020.10029026
Tienan Zhang
{"title":"A QoS-aware virtual resource pricing service based on game theory in federated clouds","authors":"Tienan Zhang","doi":"10.1504/ijista.2020.10029026","DOIUrl":"https://doi.org/10.1504/ijista.2020.10029026","url":null,"abstract":"Recently, federated cloud platform has become a promising paradigm to provide cloud services for various kinds of users in a distributed manner. To compete for cloud users, it is critically important for each cloud provider to select an optimal price that best corresponds to their service qualities as well as remains attractive to cloud users. In this paper, we first formulate the pricing strategy of individual cloud provider as a constrained optimisation programming problem to analyse the behaviours of both cloud users and cloud providers. Then, we present game-based model which introduces a set of virtual resource agents to help providers adjusting their prices with aiming at achieving a global optimal solution. Theoretical analysis is present to prove the validity and effectiveness of the proposed game model, and extensive experiments are conducted in a real-world cloud platform to evaluate its performance. The experimental results show that the proposed pricing model can significantly improve the resource revenue for cloud providers and provide desirable quality-of-service (QoS) for user tasks in terms of various performance metrics.","PeriodicalId":420808,"journal":{"name":"Int. J. Intell. Syst. Technol. Appl.","volume":"221 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116421948","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
Local and global features fusion to estimate expression invariant human age 局部和全局特征融合估计表达不变的人类年龄
Int. J. Intell. Syst. Technol. Appl. Pub Date : 2020-04-28 DOI: 10.1504/ijista.2020.10029020
S. C. Agrawal, A. S. Jalal, R. Tripathi
{"title":"Local and global features fusion to estimate expression invariant human age","authors":"S. C. Agrawal, A. S. Jalal, R. Tripathi","doi":"10.1504/ijista.2020.10029020","DOIUrl":"https://doi.org/10.1504/ijista.2020.10029020","url":null,"abstract":"Human beings can easily estimate the age or age group of a person from a facial image where as this capability is not prominent in machines. This problem becomes more complex due to presence of different facial expressions and age progression. In this paper, we introduced a novel method for age prediction using combination of local and global features. After detecting the face from image, we partition the facial image in 16 * 16 non-overlapping blocks and apply grey-level co-occurrence matrix (GLCM) on these blocks. After calculating four facial parts (eyes, forehead, left cheek and right cheek) from facial image, features from second local feature Gabor filter are obtained. Histogram of oriented gradients has been used as a global feature for feature extraction from complete face image. Experimental results show that fusion of local and global features perform better than existing approaches and reported 6.31 years mean absolute error (MAE) on PAL dataset.","PeriodicalId":420808,"journal":{"name":"Int. J. Intell. Syst. Technol. Appl.","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115461959","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
Biased face patching approach for age invariant face recognition using convolutional neural network 基于卷积神经网络的年龄不变人脸识别的偏见人脸修补方法
Int. J. Intell. Syst. Technol. Appl. Pub Date : 2020-04-28 DOI: 10.1504/ijista.2020.10029016
M. Nimbarte, K. Bhoyar
{"title":"Biased face patching approach for age invariant face recognition using convolutional neural network","authors":"M. Nimbarte, K. Bhoyar","doi":"10.1504/ijista.2020.10029016","DOIUrl":"https://doi.org/10.1504/ijista.2020.10029016","url":null,"abstract":"In recent years, a lot of interest is observed among researchers; in the domain of age invariant face recognition. The growing research interest is due to its commercial applications in many real-world scenarios. Many researchers have proposed innovative approaches to solve this problem, but still there is a significant gap. In this paper, we propose a novel technique to fill in the gap, where instead of using a whole face of a person, we use horizontal and vertical face patches. Two different feature vectors are obtained from these patches using convolutional neural networks (CNN). Then fusion of these two feature vectors is done using weighted average of features of both patches. Lastly, SVM is used as a classifier on the fused vector. Two publicly available datasets, FGNET and MORPH (album 2) are used for testing the performance of the system. This novel approach outperforms the other contemporary approaches with very good rank-1 recognition rate, on both datasets.","PeriodicalId":420808,"journal":{"name":"Int. J. Intell. Syst. Technol. Appl.","volume":"93 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121292518","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: 8
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