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Using of Digital Twin Technology on the Stages of Implementation of ERP systems

Using of Digital Twin Technology on the Stages of Implementa...

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international IEEE conference on Intelligent systems, IS

作者： Radoslav Hrischev Nikola Shakev Control Systems Department Technical University of Sofia Branch Plovdiv Plovdiv Bulgaria

ISBN: (数字)9798350350982

ISBN: (纸本)9798350350999

the globalization is challenging for the business and the companies must adapt quickly to changing market conditions, customer demands, rising resource costs and political uncertainties using new effective management systems, based on the digitalization of the economy in all its aspects. the concept Digital Twin appeared and in recent years, Digital Twin has evolved from an outcome to a driver of Industry 4.0. this paper discusses the conceptual framework and potential applications of advanced software tools for modeling and simulation as base of Digital Twin of business process and manufacturing systems. the relationship between the application of Digital Twin technology and modern Enterprise Resource Planning (ERP) systems in the phases of deployment is presented.

关键词： Uncertainty Manufacturing processes Biological system modeling Companies Production real-time systems Digital twins Fourth Industrial Revolution Software tools System implementation

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Low Resolution Face Recognition in Surveillance systems Using Discriminant Correlation Analysis

Low Resolution Face Recognition in Surveillance Systems Usin...

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international conference on Automatic Face and Gesture Recognition

作者： Mohammad Haghighat Mohamed Abdel-Mottaleb Department of Electrical and Computer Engineering University of Miami Coral Gables FL USA

Due to large distances between surveillance cameras and subjects, the captured images usually have low resolution in addition to uncontrolled poses and illumination conditions that adversely affect the performance of face recognition algorithms. In this paper, we present a low-resolution face recognition technique based on Discriminant Correlation Analysis (DCA). DCA analyzes the correlation of the features in high-resolution and low-resolution images and aims to find projections that maximize the pair-wise correlations between the two feature sets and at the same time, separate the classes within each set. this makes it possible to project the features extracted from high-resolution and low-resolution images into a common space, in which we can apply matching. the proposed method is computationally efficient and can be applied to challenging real-time applications such as recognition of several faces appearing in a crowded frame of a surveillance video. Extensive experiments performed on low-resolution surveillance images from the SCface database as well as FRGC database demonstrated the efficacy of our proposed approach in the recognition of low-resolution face images, which outperformed other state-of-the-art techniques.

关键词： Correlation Covariance matrices Image resolution Face recognition Face Probes Surveillance

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Development of an FPGA Based real-time Simulation System for DC-DC Boost Converter

Development of an FPGA Based Real-Time Simulation System for...

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international Smart Grid Workshop and Certificate Program (ISGWCP)

作者： Enver Ozkan Kezban Koc Emre Issever Mehmet Demirtas School of Natural and Applied Sciences Electrical and Electronics Enginering Gazi University Ankara Turkey Department of Electrical and Electronics Enginering Faculty of Technology Gazi University Ankara Turkey

ISBN: (数字)9798350361612

ISBN: (纸本)9798350361629

With the widespread use of power systems in daily life and the development of new power electronic devices, interest in power converters has increased. Supplying increasing requirements and reliability are essential for designers. Power system simulations, and particularly real-time simulations (RTS), are a current topic of ongoing research. It is necessary to examine the state of power converters before they are used in real-time applications and to observe the problems that may occur in the application first in the design phase and then in the simulation environment. For this reason, it is vital to model power converters as close as possible to actual operation. In this study, a real-time simulation that can perform the functions of a DC-DC boost converter is designed with a programmable gate array (FPGA) and MATLAB. this design is then analyzed using the Backward Euler (BE) method and implemented in FPGA-based hardware. To understand the accuracy of the RTS, the obtained results are compared with offline simulations. the comparison shows that the proposed RTS model is applicable to real-time simulations of power electronic converters.

关键词： Accuracy Computational modeling Software algorithms real-time systems Mathematical models Power electronics Integrated circuit modeling

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the future of cloud integration: Cloud Middleware?

The future of cloud integration: Cloud Middleware?

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international conference on Advanced Communication Technology (ICACT)

作者： Mangal Sain Dongseo University Busan South Korea

As we know cloud computing can be defined in many ways, but in simple terms "the cloud" can be called as a metaphor for the Internet, which is quite familiar cliche, but when it combined with "computing," the meaning gets bigger and fuzzier. Several analyst and service vendors define cloud computing as an updated version of Service oriented computing with virtualization: basically virtual servers available over the Internet. In this regard Charles Babcock definition of Cloud computing serves very well which says, "one of the secrets of cloud computing is that cloud software reflects a new architecture that best exploits the clustered resources around it. It exploits them in such a way that one instance of the software potentially can serve hundreds or thousands of users, and a handful of instances can serve hundreds of thousands." Cloud computing is needed to address the dynamic, exponentially growing demands for real-time, reliable data processing of 'Internet of things' . the future of cloud computing services is heading towards offerings of flexible development and deployment environments. the cloud, with its vast elasticity and democratization of software access to end users, has created challenging software delivery problems like cost efficiency delivery, scalability, and the need for codification of critical operating workflows. If we remember middleware/infrastructure software has provided a common layer that acts as a single point of interest shared by IT network level operators and software developers. For example IIS, WebSphere, database servers, etc. typically provide a wealth of tooling to network folks in support of applications. Here cloud middleware system integrators may determine the future adoption of cloud computing. these systems normally support open platform stacks, provide generic interfaces between components, support infrastructure abstraction, and utilize standard communication frameworks. there are several proposed solution available which

关键词： Medical services embedded systems

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Enhanced Sensitivity of Graphene-Based SPR Chemical Sensor Utilizing Black Phosphorus and Blue Phosphorene/MoS2 Heterostructure

Enhanced Sensitivity of Graphene-Based SPR Chemical Sensor U...

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Annual Information Technology, Electromechanical Engineering and Microelectronics conference (IEMECON)

作者： Mohan Kumar Paswan Rikmantra Basu NIT Delhi India

ISBN: (数字)9798350387315

ISBN: (纸本)9798350387322

KSPR (Kretsch Mann Surface plasmon Resonance) based sensors play a crucial role in real-time monitoring for sensing applications. Surface plasmon is an optical method used to detect chemical interactions. It monitors changes in the Refractivity of a thin film, which occur due to the interactions between mobile molecules (analytes) and stationary molecules (ligands) on the film's surface. the compounds that are produced in fruits as a result of food adulteration have harmful effects on health. therefore, SPR sensors are crucial in identifying and detecting these substances. the current investigation used Gr (graphene) and black phosphorus (BP). the combination of the BlueP and 2D materials in a heterostructure has increased the sensitivity. Enhanced sensitivity may be attained by optimization. the suggested configuration utilizes a heterostructure composed of BlueP and MoS2, together with a layer of Ag and a layer of Black Phosphorus (BP) combined with graphene. the use of angular interrogation in simulating the sensitivity qualities of the modified structure demonstrates that the Sensitivity may be improved via the implementation of the new design. the proposed design shows the enhanced Sensitivity of 466° /RIU.

关键词： Chemical sensors Sensitivity Graphene Refractive index Phosphorus Surface plasmon resonance real-time systems Sulfur Optical sensors Optimization

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A scheduling algorithm in the randomly heterogeneous multi-core processor

A scheduling algorithm in the randomly heterogeneous multi-c...

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international conference on Fuzzy systems and Knowledge Discovery (FSKD)

作者： Yan Liu Yongwei Li Yihong Zhao Xiaoming Chen College of Computer Science and Electronic Engineering Key Laboratory for Embedded and Network Computing of Hunan Province Changsha China

ISBN: (纸本)9781509040940

the increasing scale of multi-core processors are likely to be randomly heterogeneous by design or because of diversity and flaws. the latter type of heterogeneity introduced by some unforeseen variable factors such as the manufacturing process variation is especially challenging because of its unpredictability. In this environment, thread scheduler and global power manager must handle such randomly heterogeneous. Furthermore, these algorithms must supply high efficiency, scalability and low overhead because future multi-core processors may have a number of cores on a single die. this paper presents a variation-aware scheduling algorithm for application scheduling and power management. thread switching and sampling among different cores in the multi-core processor introduce obvious overhead than previous many-core scheduling algorithms. Proposed scheme records the information of swapped thread of preferential core and uses tabu search-based randomly heterogeneous scheduling algorithm(TSR) to avoid the occurrence of repeated sampling and reduce the migration frequency and sampling frequency of a thread. the experimental results show that TSR algorithm has decreased 45.7% of thread migration and 42.2% of the sampling time as compared with local search algorithm. this paper regards the transcendental Hungarian offline scheduling algorithm as the baseline. ED2 of TSR only decrease by 8.58% as compared with that of Hungarian offline scheduling algorithm, but compared with the random search scheduling algorithm, ED2 of TSR decreased by 39.4%.

关键词： Scheduling algorithms Scheduling Multicore processing Algorithm design and analysis Heuristic algorithms Optimal scheduling Schedules

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A smart low-consumption IoT framework for location tracking and its real application

A smart low-consumption IoT framework for location tracking ...

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international conference on Electronics Information and Emergency Communication

作者： Hao Tang Jian Shi Kai Lei Shenzhen Key Lab for Cloud Computing Technology & Applications (SPCCTA) Graduate School Shenzhen Guangdong China

ISBN: (纸本)9781509019984

Location-based services are increasingly popular. Smart devices embedded with GPS receiver are widely used in vehicle tracking, law enforcement and person monitoring. To provide real-time data collecting and analyzing, a backend server is necessary. A mobile app can work as a user client for accessing location data and remote control. In this paper, we describe the design and implementation of a system providing real-time positioning and tracking service. Our system consists of three parts: tracking device, backend server and mobile app. Our tracking device integrates GPS module, GSM/GPRS module and TCP/IP stack, capable of generating location data, establishing TCP connection and receiving SMS. Location data are transmitted over TCP connection from device to our backend server. the server is responsible for collecting and storing data. the server also provides an HTTP-based RESTful API for mobile app and web service. A mobile app is built for displaying data and controlling device remotely. Data accessing is via calling REST API and remote control is sent to device by SMS. Our device is compact in volume, accurate in positioning, and long in battery life. Our device has been integrated in a walking stick as a real-world product.

关键词： Servers Mobile communication Global Positioning System Legged locomotion Computer architecture real-time systems Ground penetrating radar

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Gas Chromatography-Ion Mobility Spectrometry Instrument for Medical applications: A Calibration Protocol for ppb and ppt Concentration Range 12th

Gas Chromatography-Ion Mobility Spectrometry Instrument for ...

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12th IFIP WG 5.5/SOCOLNET Advanced Doctoral conference on computing, Electrical and Industrial systems, DoCEIS 2021

作者： Fernandes, Jorge M. Vassilenko, Valentina Moura, Pedro C. Fetter, Viktor Department of Physics NOVA School of Science and Technology NOVA University of Lisbon Caparica2829-516 Portugal NMT S.A. Edifício Madan Parque Rua dos Inventores Caparica2825-182 Portugal Airbus Defence and Space GmbH - Space Systems Department of TESXS Science Engineering Friedrichshafen88046 Germany

ISBN: (纸本)9783030782870

Medical diagnosis research is driven into the development of non-invasive diagnosis devices centered in fast and precise analytical tools and instrumentation. this led to Volatile Organic Compounds (VOCs) being identified as metabolomics biomarkers for several diseases, including respiratory infections, cancer and even COVID 19 non-invasive test. While VOCs give a direct access to physiological states, their applicability requires detections at low concentration ranges (ppbv-pptv). However, its clinical success is strongly dependent on precise and robust calibration methods. In this work we describe a calibration protocol of volatile organic compounds in low concentration range (ppbv-pptv) for analytical GC-IMS technology which offer a quick in-situ results in medical diagnosis. the calibration is based on permeation tubes which are monitored using thermogravimetric methods to estimate mass loss ratio over time establishing emitted concentrations. Notwithstanding future improvements, herein calibration methodology results are a promising step forward in medical diagnosis and applications. © 2021, IFIP international Federation for Information Processing.

关键词： Diagnosis

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Quality in use measures for an AAL system for older adults

Quality in use measures for an AAL system for older adults

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international conference on Electronics, Computers and Artificial Intelligence (ECAI)

作者： Irina Cristescu Alexandru Balog Lidia Băjenaru Systems and Applications for Society Department National Institute for Research and Development in Informatics Bucharest Romania

ISBN: (数字)9781728168432

ISBN: (纸本)9781728168449

Ambient Assisted Living (AAL) aims to improve the quality of life (QoL) of people by assisting them in daily activities through the use of information technology. the quality of AAL systems can be evaluated by measuring quality in use attributes (when the product is in real or simulated use). In doing so, appropriate quality characteristics have to be defined taking into consideration the intended use of the systems. thus, the importance of specifying and evaluating the relevant quality characteristic using validated and widely accepted measures. this paper focused on presenting a set of specific quality measures adapted to evaluate the quality in use of an AAL platform that monitors and supports older adults.

关键词： ISO Standards IEC Standards Monitoring time measurement Data integrity Intelligent sensors Current measurement

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Comprehensive Framework for Facilitating the Deployment of Distributed On-Premise Analytics applications in Resource-Constraint Environments

Comprehensive Framework for Facilitating the Deployment of D...

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IEEE international conference on Automation Science and Engineering (CASE)

作者： Nicolai Schoch Pascal Becker Virendra Ashiwal Andrew Habib ABB Corporate Research Center Germany

ISBN: (数字)9798350358513

ISBN: (纸本)9798350358520

Data Analytics (DA) and Machine Learning (ML) algorithms today are inside many applications and systems. they provide state-of-the-art anomaly detection, pattern recognition, health monitoring, predictive maintenance, or help to optimize and calibrate parameter combinations. However, they usually require strong compute resources. It is therefore a challenge to deploy the corresponding algorithms on edge devices or in embedded systems, such as on cloud-decoupled drives and drive systems, as these usually have strict resource constraints. In this work, we look at the deployment of DA/ML algorithms on combinations of resource-constraint edge and device environments. We present our framework for the structured and guided definition, setup, distribution, and deployment of such DA/ML algorithms. A guided workflow leads a user through algorithm specification and configuration. While doing so, it extracts information, which is necessary for the distribution and deployment of the DA/ML algorithm to a suitable device-edge combination. With this solution, a DA/ML algorithm can be executed for sensor data processing and, in the ML context, for inference, on device-edge combinations without permanent cloud connection, e.g., on a drive/gateway combination on a cruise ship, so that it can be used for real-time anomaly detection or pattern analysis.

关键词： Cloud computing Machine learning algorithms Prediction algorithms Inference algorithms real-time systems Pattern analysis Marine vehicles Anomaly detection Monitoring Predictive maintenance

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