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Deep Learning Based Intelligent Industrial Fault Diagnosis Model

Computers, Materials & Continua 2022年第3期70卷 6323-6338页

作者： R.surendran Osamah Ibrahim Khalaf carlos and.es tavera romero Center for Artificial Intelligence&Research(CAIR) Chennai Institute of TechnologyChennai600069India Al-Nahrain Nanorenewable Energy Research Center Al-Nahrain UniversityBaghdad64074Iraq COMBA I+D Research Group of Universidad santiago de Cali Santiago de CaliColombia

In the present industrial revolution era,the industrial mechanical system becomes incessantly highly intelligent and.***,it is necessary to develop data-driven and.monitoring approaches for achieving quick,trustable,and.high-quality analysis in an automated *** diagnosis is an essential process to verify the safety and.reliability operations of rotating *** advent of deep learning(DL)methods employed to diagnose faults in rotating machinery by extracting a set of feature vectors from the vibration *** paper presents an Intelligent Industrial Fault Diagnosis using sailfish Optimized Inception with Residual Network(IIFD-sOIR)*** proposed model operates on three major processes namely signal representation,feature extraction,and.*** proposed model uses a Continuous Wavelet Transform(CWT)is for preprocessed representation of the original vibration *** addition,Inception with ResNet v2 based feature extraction model is applied to generate high-level ***,the parameter tuning of Inception with the ResNet v2 model is carried out using a sailfish ***,a multilayer perceptron(MLP)is applied as a classification technique to diagnose the faults *** experimentation takes place to ensure the outcome of the presented model on the gearbox dataset and.a motor bearing *** experimental outcome indicated that the IIFD-sOIR model has reached a higher average accuracy of 99.6%and.99.64%on the applied gearbox dataset and.bearing *** simulation outcome ensured that the proposed model has attained maximum performance over the compared methods.

关键词： Intelligent models fault diagnosis industrial control deep learning feature extraction

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Qos in FANET Business and.swarm Data

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Computers, Materials & Continua 2022年第7期72卷 1877-1899页

作者： Jesús Hamilton Ortiz carlos and.és tavera romero Bazil Taha Ahmed Osamah Ibrahim Khalaf Close Mobile R&D Telecommunications Ls MadridEspaña COMBA I+D Research Group of Universidad santiago de Cali CaliColombia Autonomous of Madrid University MadridEspaña Al-Nahrain Nanorenewable Energy Research Center in Al-Nahrain University BagdadIraq

This article shows the quality of services in a wireless swarm of drones that form an ad hoc network between them Fly Ad Hoc Networks(FANET).Each drone has the ability to send and.receive information(like a router);and.can behave as a hierarchical node whit the intregration of three protocols:Multiprotocol Label switch(MPLs),Fast Hierarchical AD Hoc Mobile(FHAM)and.Internet Protocol version 6(IPv6),in conclusion MPLs+FHAM+*** metrics analyzed in the FANET are:delay,jitter,throughput,lost and.sent packets/*** process was carried out with swarms composed of 10,20,30 and.40 units;In this work,the stage with 40 droneswas analyzed showing registration processes,and.sentmessages sequences between different drones that were part of the same swarm.A special analysis about the traffic between drones(end-to-end)was carried out,as well as the possible security flaws in each drone and.the current status and.future trends in real *** future trends,in a real environment,we took as a starting point,metrics results obtained in the simulation(positive according to the obtained results).These results gave us a clear vision of how the network will behave in a real environment with the aim to carry out the experiment on a physical level in the near *** work also shows the experience quality from the service quality metrics obtained through a mathematical *** quality of experience model will allow us to use it objectively in the agricultural sector,which is a great interest area and.is where we are working with *** in this article we show our advances for a business model applied to the aforementioned agricultural sector,as well as the data analysis and.services available to the end *** services available to the end customer have been classified into a basic,medium,advanced and.plus level.

关键词： Ad hoc home agent(AHA) ad hoc mobile node(AMN) ad hoc correspondent node(ACN) ad hoc mobile anchor point(AMAP) fast hierarchical AD hoc mobile IPv6(FHAMIPv6) label switching router(LsR)label edge router(LER) mobile ad hoc networks(MANET)fly ad hoc network(FANET) quality of services(Qos) quality of experience(QoE)

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Web Application Commercial Design for Financial Entities Based on Business Intelligence

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Computers, Materials & Continua 2021年第6期67卷 3177-3188页

作者： carlos and.és tavera romero Jesus Hamilton Ortiz Osamah Ibrahim Khalaf and.ea Ríos Prado COMBA I+D Research Group of Universidad santiago de Cali Valle del CaucaColombia Closemobile R&D Telecommunications Ls FuenlabradaEspaña Al-Nahrain Nanorenewable Energy Research Center in Al-Nahrain University BagdadIraq

Multiple customer data management has become a focus of attention in big *** much information is available,it does not translate into significant profitable value-added *** present a design of a commercial web application based on business intelligence that generates information on social and.financial behavior of clients in an organization;with the purpose of obtain additional information that allows to get more *** app will provide a broader perspective for making strategic decisions to increase profits and.reduce internal investment costs.A case in point is the financial sector,a group of financial entities were used to make measurements and.test them.A design to build a web application aimed at achieving a large and.ambitious goal by means of defined tools reflecting clients’business needs is *** this research,different techniques and.technologies are explored,such as diagrams,frameworks,design,architecture,model entity-relationship,tables,equations,mental maps and.development *** the Personal software Process methodology and.with the help of information extraction,consolidation,and.visualization,the implementation can be carried *** article provides the importance of implementing business intelligence in an organization and.expand. on the steps needed for the implementation of this valuable technology.

关键词： Business intelligence banking application web application trend analysis decision making

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Automatic Liver Tumor segmentation in CT Modalities Using MAT-ACM

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Computer systems science & Engineering 2022年第12期43卷 1057-1068页

作者： s.Priyadarsini carlos and.és tavera romero Abolfazl Mehbodniya P.Vidya sagar sudhakar sengan Department of Computer science and.Engineering P.S.R.Engineering CollegeSivakasiTamil Nadu626123India COMBA R&D Laboratory Faculty of EngineeringUniversidad Santiago de CaliCali76001Colombia Department of Electronics and.Communications Engineering Kuwait College of Science and TechnologyKuwait Department of Computer science and.Engineering Koneru Lakshmaiah Education FoundationVaddeswaramAndhra Pradesh522502India Department of Computer science and.Engineering PSN College of Engineering and TechnologyTirunelveliTamil Nadu627152India

In the recent days, the segmentation of Liver Tumor (LT) has beendemand.ng and.challenging. The process of segmenting the liver and.accuratelyspotting the tumor is demand.ng due to the diversity of shape, texture, and.intensity of the liver image. The intensity similarities of the neighboring organs of theliver create difficulties during liver segmentation. The manual segmentation doesnot provide an accurate segmentation because the results provided by differentmedical experts can vary. Also, this manual technique requires a large numberof image slices and.time for segmentation. To solve these issues, the Fully Automatic segmentation (FAs) technique is proposed. In this proposed Multi-AngleTexture Active Contour Model (MAT-ACM) method, the input Computed Tomography (CT) image is preprocessed by Contrast Enhancement (CE) with Non-Linear Mapping Technique (NLMT), in which the liver is differentiated from itsneighbouring soft tissues with related strength. Then, the filtered images are givenas the input to Adaptive Edge Modeling (AEM) with Canny Edge Detection(CED) technique, which segments the Liver Region (LR) from the given CTimages. An AEM with a CED model is implemented, which increases the convergence speed of the iterative process for decreasing the Volumetric Overlap Error(VOE) is 6.92% rates when compared with the traditional segmentation Techniques (sT). Finally, the Liver Tumor segmentation (LTs) is developed by applyingthe MAT-ACM, which accurately segments the LR from the segmented LRs. Theevaluation of the proposed method is compared with the existing LTs methodsusing various performance measures to prove the superiority of the proposedMAT-ACM method.

关键词： Computed tomography contrast enhancement adaptive edge modeling multi-angle texture active contour liver tumor segmentation

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Interactive Middleware services for Heterogeneous systems

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Computer systems science & Engineering 2022年第6期41卷 1241-1253页

作者： Vasanthi Raghupathy Osamah Ibrahim Khalaf carlos and.és tavera romero sudhakar sengan Dilip Kumar sharma Department of Computer science and.Engineering Tagore Institute of Engineering and TechnologyAttur636112India Al-Nahrain University Al-Nahrain Nanorenewable Energy Research CenterBaghdadIraq Universidad santiago de Cali in Cali Colombia South America Department of Computer science and.Engineering PSN College of Engineering and TechnologyTirunelveli627152India Department of Mathematics Jaypee University of Engineering and TechnologyGuna473226India

Computing has become more invisible, widespread and.ubiquitoussince the inception of the Internet of Things (IoT) and.Web of Things. Multipledevices that surround us meet user’s requirements everywhere. Multiple Middleware Framework (MF) designs have come into existence because of the rapiddevelopment of interactive services in Heterogeneous systems. This resulted inthe delivery of interactive services throughout Heterogeneous Environments(HE). Users are given free navigation between devices in a widespread environment and.continuously interact with each other from any chosen device. Numerous interactive devices with recent interactive platforms (for example, smartPhones, Mobile Phones, Personal Computer (PC) and.Personal Digital Assistant(PDA)) are available in the market. For easy access to information and.servicesirrespective of the device used for working and.even at the drastic change ofthe environment, the execution of applications on a broad spectrum of computingdevices is propelled by the availability of the above-mentioned platforms. Different applications that need interoperability to coordinate and.correspond with eachother should be facilitated. Using a stand.rd interface and.data format, HE mustlink various devices from various platforms together to communicate with eachother. To aid the interactive services performed by a middleware framework thatoperates on Application Programming Interface (API) over HEs, this issue aims toendorse an Adaptable service Application Programming Interface (AsAPI).

关键词： Middleware services ontology interoperability

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Encryption with User Authentication Model for Internet of Medical Things Environment

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Intelligent Automation & soft Computing 2023年第1期35卷 507-520页

作者： K.s.Riya R.surendran carlos and.és tavera romero M.sadish sendil Department of Information Technology Vel Tech Multi Tech Dr.Rangarajan Dr.Sakunthala Engineering CollegeChennai600062India Center for Artificial Intelligence and.Research(CAIR) Chennai Institute of TechnologyChennai600069India COMBA R&D Laboratory Faculty of EngineeringUniversidad Santiago de CaliCali76001Colombia Department of Emerging Technologies Guru Nanak Institute of TechnologyIbrahipatnam501506TelanganaIndia

Internet of Medical Things(IoMT)enabled e-healthcare has the potential to greately improve conventional healthcare services ***,security and.privacy become major issues of IoMT because of the restricted processing abilities,storage,and.energy constraints of the ***,it leads to infeasibility of developing traditional cryptographic solutions to the IoMT *** order to ensure security on sensitive medical data,effective encryption and.authentication techniques need to be designed to assure security of the patients and.healthcare service *** this view,this study designs an effective metaheuristic optimization based encryption with user authentication(EMOE-UA)technique for IoMT *** work proposes an EMOE-UA technique aims to accomplish mutual authentication for addressing the security issues and.reducing the computational ***,the EMOE-UA technique employs optimal multikey homomorphic encryption(OMKHE)technique to encrypt the IoMT ***,the improved social spider optimization algorithm(IssOA)was employed for the optimal multikey generation of the MKHE *** experimental result analysis of the EMOE-UA technique takes place using benchmark data and.the results are examined under various *** simulation results reported the considerably better performance of the EMOE-UA technique over the existing techniques.

关键词： User authentication security privacy internet of medical things homomorphic encryption optimal key generation

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Internet of Things Enabled Energy Aware Metaheuristic Clustering for Real Time Disaster Management

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Computer systems science & Engineering 2023年第5期45卷 1561-1576页

作者： Riya Kumarasamy santhanaraj surendran Rajendran carlos and.es tavera romero sadish sendil Murugaraj Department of Information Technology Vel Tech Multi Tech Dr.Rangarajan Dr.Sakunthala Engineering CollegeChennai600062India Center for Artificial Intelligence and.Research(CAIR) Chennai Institute of TechnologyChennai600069India COMBA R&D Laboratory Faculty of EngineeringUniversidad Santiago de CaliCali76001Colombia Department of Emerging Technologies Guru Nanak Institute of TechnologyIbrahipatnamTelangana501506India

Wireless sensor Networks(WsNs)are a major element of Internet of Things(IoT)networks which offer seamless sensing and.wireless *** management in smart cities can be considered as a safety critical ***,it becomes essential in ensuring network accessibility by improving the lifetime of IoT assisted *** and.multihop routing are considered beneficial solutions to accomplish energy efficiency in IoT *** article designs an IoT enabled energy aware metaheuristic clustering with routing protocol for real time disaster management(EAMCR-RTDM).The proposed EAMCR-RTDM technique mainly intends to manage the energy utilization of nodes with the consideration of the features of the disaster *** achieve this,EAMCR-RTDM technique primarily designs a yellow saddle goatfish based clustering(YsGF-C)technique to elect cluster heads(CHs)and.organize *** addition,enhanced cockroach swarm optimization(ECsO)based multihop routing(ECsO-MHR)approach was derived for optimal route *** YsGF-C and.ECsO-MHR techniques compute fitness functions using different input variables for achieving improved energy efficiency and.network *** design of YsGF-C and.ECsO-MHR techniques for disaster management in IoT networks shows the novelty of the *** examining the improved outcomes of the EAMCR-RTDM system,a wide range of simulations were performed and.the extensive results are assessed in terms of different *** comparative outcomes highlighted the enhanced outcomes of the EAMCRRTDM algorithm over the existing approaches.

关键词： Internet of things disaster management wireless sensor networks real time applications routing clustering

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Breast Calcifications and.Histopathological Analysis on Tumour Detection by CNN

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Computer systems science & Engineering 2023年第1期44卷 595-612页

作者： D.Banumathy Osamah Ibrahim Khalaf carlos and.és tavera romero P.Vishnu Raja Dilip Kumar sharma Department of Computer science and.Engineering Paavai Engineering CollegePachalNamakkal637018Tamil NaduIndia Al-Nahrain University Al-Nahrain Nanorenewable Energy Research CenterBaghdadIraq COMBA R&D Laboratory Faculty of EngineeringUniversidad Santiago de Cali76001CaliColombia Department of Computer science and.Engineering Kongu Engineering CollegePerundurai638060Tamil NaduIndia Department of Mathematics Jaypee University of Engineering and TechnologyGuna473226Madhya PradeshIndia

The most salient argument that needs to be addressed universally is Early Breast Cancer Detection(EBCD),which helps people live longer *** Computer-Aided Detection(CADs)/Computer-Aided Diagnosis(CADx)sys-tem is indeed a software automation tool developed to assist the health profes-sions in Breast Cancer Detection and.Diagnosis(BCDD)and.minimise mortality by the use of medical histopathological image classification in much less *** paper purposes of examining the accuracy of the Convolutional Neural Network(CNN),which can be used to perceive breast malignancies for initial breast cancer detection to determine which strategy is efficient for the early iden-tification of breast cell malignancies formation of masses and.Breast microcalci-fications on the *** we have insufficient data for a new domain that is desired to be hand.ed by a pre-trained Convolutional Neural Network of Residual Network(ResNet50)for Breast Cancer Detection and.Diagnosis,to obtain the Discriminative Localization,Convolutional Neural Network with Class Activation Map(CAM)has also been used to perform breast microcalcifications detection tofind a specific class in the Histopathological *** test results indicate that this method performed almost 225.15%better at determining the exact location of disease(Discriminative Localization)through breast microcalci-fications ***50 seems to have the highest level of accuracy for images of Benign Tumour(BT)/Malignant Tumour(MT)cases at 97.11%.ResNet50’s average accuracy for pre-trained Convolutional Neural Network is 94.17%.

关键词： Computer-Aided Detection breast cancer detection convolutional neural network class activation map computer-aided diagnosis

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