{"title":"An efficient sensor integrated model for hosting real-time data monitoring applications on cloud","authors":"N. Yadav, B. E. Reddy, K. Srinivasa","doi":"10.1504/IJAC.2018.10013767","DOIUrl":"https://doi.org/10.1504/IJAC.2018.10013767","url":null,"abstract":"Wireless sensor networks (WSNs) have become an integral part of healthcare monitoring applications and also using in a wide range of domains such as environmental monitoring, healthcare, asset monitoring modern warfare scenarios, industrial and production monitoring. A number of solutions have been proposed so far which provides assimilation of data on an hourly basis and the capability of sensors are approximated to almost ideal situation. With the exploration and advancement in the field of internet of things (IoT), the focal point has shifted towards the interoperability of WSNs and a cloud-based central data repository which collaborates and comprehends a uniquely identifiable internet like structure. This bottom up internet-like structure has paved the way for a sensor integrated cloud-based architecture REALSENSE. This paper provides a detailed run down on the REALSENSE architecture which integrates WSN with Internet of Things in a robust efficient approach. Using the REALSENSE architecture, a set of real-time applications can be deployed, some of them are illustrated in this paper.","PeriodicalId":374882,"journal":{"name":"Int. J. Auton. Comput.","volume":"280 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115910164","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}
{"title":"Clustering trajectory-based objects in spatio networks","authors":"M. R. Reddy, K. Srinivasa, B. E. Reddy","doi":"10.1504/IJAC.2018.10013772","DOIUrl":"https://doi.org/10.1504/IJAC.2018.10013772","url":null,"abstract":"Clustering is a proficient approach to breaking down and locate the enormous, concealed, obscure and fascinating information in expansive scale dataset, which encourages the fast improvement of information mining innovation in late decades. With the advancement of area-based administration, moving article clustering turns into a blossoming subject in related fields as a key some portion of information mining innovation. It is a moderately new subfield of information mining which increased high notoriety. This paper considers the issue of proficiently keeping up a clustering of an active arrangement of information focuses that move persistently in 2D Euclidean space. This paper recommends an improved k-means (i-kmeans) algorithm which is done in four stages, which uses segmentation cluster as part of improved k-means. To describe the effectiveness of the obtained cluster we use Silhouette Coefficient metric. Experimental results reveal that improved i-kmeans technique gives better results in terms of accuracy and quality than the traditional one.","PeriodicalId":374882,"journal":{"name":"Int. J. Auton. Comput.","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127634277","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}
{"title":"Content extraction from news web pages using tag tree","authors":"Chandrakala Arya, S. Dwivedi","doi":"10.1504/IJAC.2018.10013755","DOIUrl":"https://doi.org/10.1504/IJAC.2018.10013755","url":null,"abstract":"As the web endures to develop, there is an enormous amount of information which is typically designed for its users, which makes it difficult to extract relevant data from numerous sources. In this paper, we propose an approach for extracting the main content from news web pages. Our approach is based on the concept of tokenisation of HTML page, these tokens construct the tag tree; web pages from different websites are parsed into Tag tree and generated a template from each web pages and discover matching patterns and multiple sequence alignment. It finds and removed shared token sequences from the web pages until the relevant information is extracted from them. We perform experiments on 500 web pages from ten different news websites. Experimental results show that our approach efficiently extracts the relevant information.","PeriodicalId":374882,"journal":{"name":"Int. J. Auton. Comput.","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129849670","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}
{"title":"WT_DMDA new scheduling strategy for conjugate gradient solver on heterogeneous architecture","authors":"Najlae Kasmi, M. Zbakh, S. Mahmoudi, P. Manneback","doi":"10.1504/IJAC.2018.10013770","DOIUrl":"https://doi.org/10.1504/IJAC.2018.10013770","url":null,"abstract":"Heterogeneous systems which are composed of multiple CPUs and GPUs are more and more attractive as platforms for high performance computing. With the evolution of general purpose computation on GPU (GPGPU) and corresponding programming frameworks (OpenCL and CUDA), more applications are using GPUs as a co-processor to achieve performance that could not be accomplished using just the traditional processors. However, the main problem is identifying which task or job should be allocated to a particular device. The problem is even complicated due to the dissimilar computational power of the CPU and the GPU. In this work we propose a new scheduling strategy WT_DMDA which aims to optimise the performance of the preconditioned conjugate gradient solver, in CPU-GPU heterogeneous environment. We use StarPU runtime system to assess the efficiency of the approach on a computational platform consisting of three NVIDIA Fermi GPUs and 12 Intel CPUs. We show that important speedups (up to 5.13×) may be reached (relatively to default scheduler of StarPU) when processing large matrices and that the performance is advantageous when changing the granularity of tasks. An analysis and evaluation of these results is discussed.","PeriodicalId":374882,"journal":{"name":"Int. J. Auton. Comput.","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-04-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134603983","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}
{"title":"Intelligent navigation and control of a mobile robot in static and dynamic environments using hybrid fuzzy architecture","authors":"A. Pandey, Shalini Pandey, Preeti Gupta","doi":"10.1504/IJAC.2017.10008072","DOIUrl":"https://doi.org/10.1504/IJAC.2017.10008072","url":null,"abstract":"Navigation and obstacle avoidance are one of the most important tasks for any mobile robot. This article proposes the design and implementation of a hybrid fuzzy (H-fuzzy) architecture for intelligent navigation of a mobile robot in the static and dynamic environments. The proposed H-fuzzy architecture is the combination of Takagi-Sugeno type and Mamdani-type fuzzy logics, which helps the mobile robot to reach the goal with obstacle avoidance. The Takagi-Sugeno type fuzzy logic architecture (TFa) is used to assist the robot to reach the goal. The inputs of the Takagi-Sugeno type fuzzy logic architecture are obstacle distances received from the group of sensors, and the output is the turning angle between the robot and the goal. The Mamdani-type fuzzy logic architecture (MFa) is integrated with the TFa to control the motor velocities of the robot. Computer simulations are conducted through MATLAB software and implemented in real time by using Arduino microcontroller based wheeled mobile robot. Moreover, the successful experimental results on the actual mobile robot demonstrate the superiority of the proposed architecture.","PeriodicalId":374882,"journal":{"name":"Int. J. Auton. Comput.","volume":"74 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115558671","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}
{"title":"Toward mobile smart data file protection box","authors":"Tianren Luo, Xueyong Li, Kun Ma, Xiaoying Luo","doi":"10.1504/IJAC.2017.10008073","DOIUrl":"https://doi.org/10.1504/IJAC.2017.10008073","url":null,"abstract":"Aiming at this urgent need of the security protection of mobile intelligent terminal data file, we design a file security box to protect and manage important files in smartphones. The main functions of this file security box are: 1) fingerprint verification; 2) file management; 3) efficient encryption and decryption; 4) adaptive cipher algorithms; 5) separate logical document library; 6) updating the secret key regularly; 7) storing the key securely; 8) reinforcing the safety in enterprise level. Functional tests and performance tests show that the file security box we designed can not only achieve all of the above functionality with excellent user transparency and friendliness but also ensure the safety of important files without effecting users' experience.","PeriodicalId":374882,"journal":{"name":"Int. J. Auton. Comput.","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130647122","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}
{"title":"A semantic-based representation and analysis of monitoring data for self-adaptive systems","authors":"A. Jemal, Riadh Ben Halima, Hend Ktait, M. Jmaiel","doi":"10.1504/IJAC.2017.10008064","DOIUrl":"https://doi.org/10.1504/IJAC.2017.10008064","url":null,"abstract":"In the current decade, computing turns towards smart, mobile and ambient devices. Consequently, applications and services have to be aware in order to react to a highly dynamic context (available resources, environmental conditions etc.) and adapt their structures and behaviours. In a such environment (e.g., smart buildings), interoperability is highly recommended, especially for contexts where connected entities need to understand one another and an analysis module is built based on exchanged data querying in order to detect alerting situations. In this paper, we propose an ontology model for smart building allowing the representation of smart entities monitoring data and a rule based analysis. We elaborate domain ontology for the smart building space and implement a prototype using Protege and Pellet. Furthermore, we define smart rules using SWRL in order to analyse the context and generate alerts regarding abnormal behaviours.","PeriodicalId":374882,"journal":{"name":"Int. J. Auton. Comput.","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127779642","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}
{"title":"A semi search algorithm towards semantic search using domain ontologies","authors":"Aatif Ahmad Khan, S. K. Malik","doi":"10.1504/IJAC.2017.10008062","DOIUrl":"https://doi.org/10.1504/IJAC.2017.10008062","url":null,"abstract":"In the current Web 2.0 (O'Reilly, 2005), the problem is of efficient retrieval of concerned specific information due to prevalent keyword-based search. Semantic web (Berners-Lee et al., 2001) provides a hope in this direction by providing search based on semantics. Semantic search plays a significant role in retrieving highly relevant search results considering both context and domain information related to posed queries. Semantic search (Guha et al., 2003) can be approached using ontology (Gruber, 1995), which acts as a foundation for incorporating semantics on the web. In this paper, an attempt has been made to propose an approach towards semantic search in the form of a semi search algorithm using domain ontologies for which a semi search tool has been developed for its implementation and evaluation. Key objective of this approach is to return the end user syntactic matching as well as semantically relevant search results. Evaluation results have been obtained which show significant improvements over precision while maintaining a high recall.","PeriodicalId":374882,"journal":{"name":"Int. J. Auton. Comput.","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126536033","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}
{"title":"Improving lower extremity joint kinematics during jump landing using an automated vibrotactile biofeedback system","authors":"A. U. Alahakone, S. M. N. Arosha Senanayake","doi":"10.1504/IJAC.2014.059110","DOIUrl":"https://doi.org/10.1504/IJAC.2014.059110","url":null,"abstract":"Real time motion monitoring and biofeedback is essential for efficient training, technique improvements and reducing the risk of injuries in sports training applications. This paper proposes a novel approach for measuring and improving jump landing technique based on lower extremity joint kinematics. The system consists of wireless wearable inertial sensors, a customised software for data processing and a wireless biofeedback unit including vibrotactile actuators for vibration feedback. Biofeedback is provided for knee angular measurements obtained with respect to predefined target thresholds. A drop vertical jump DVJ was utilised to verify the effects of real time vibrotactile feedback to improving knee flexion and abduction/adduction during the landing phase of the jump. The results confirmed the accuracy of the system for real time applications and the impact of vibrotactile biofeedback for augmenting the lower extremity joint kinematic motion during jump landing.","PeriodicalId":374882,"journal":{"name":"Int. J. Auton. Comput.","volume":"124 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122854725","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}
{"title":"A group housing society ontology in Swoop 2.3 Beta 4 and Protege 3.4.4","authors":"S. K. Malik, S. Rizvi","doi":"10.1504/IJAC.2014.059111","DOIUrl":"https://doi.org/10.1504/IJAC.2014.059111","url":null,"abstract":"Ontology creation using various editors like Protege and SWOOP plays a significant role in Semantic Web. In this paper, we illustrate the creation of a housing society ontology viz, 'Jawaharlal CGHS ontology' using Swoop and Protege, the most commonly used ontology editors. We are using Swoop 2.3 Beta 4 editor where super class and sub class hierarchy and instances have been presented with the query retrieval process using 'Fly the MotherShip' option in advanced tab and show the 'general concept inclusion axiom', 'class expression table' for relations in classes and subclasses. Then, the same ontology is created using Protege 3.4.4 and finally illustrates using the OWL code to obtain ontology class hierarchy subject/object relationship in Protege by executing a SPARQL query.","PeriodicalId":374882,"journal":{"name":"Int. J. Auton. Comput.","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129673200","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}