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An Effective Water Management Framework Based on Internet of Things (IOT) Technology
2019
European Journal of Engineering Research and Science
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A frame work build around a flow rate sensor, solenoid valve, a microcontroller equipped with internet connectivity and a log in service monitoring and control platform on the cloud is used. ...
However, the sensitivity of the flow rate sensors used poses a number of challenges, hence the need to setup an appropriate calibration scheme that will allows for the flow rate sensor, effective adoption ...
In [7] , the author proposed a distributed and adaptive data propagation algorithm for balancing the energy among sensors in the network. ...
doi:10.24018/ejers.2019.4.5.1317
fatcat:4tyvo3epwvakpdfmxhxw6a2q4m
DDDAS-based multi-fidelity simulation for online preventive maintenance scheduling in semiconductor supply chain
2007
2007 Winter Simulation Conference
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A prototype DDDAS simulation was successfully implemented for preventive maintenance scheduling in a semiconductor supply chain. ...
They are 1) data filtering algorithm using control charts, 2) preliminary fidelity selection algorithm using Bayesian belief network, 3) fidelity assignment algorithm using integer programming and 4) simulation ...
Adaptive simulations, on the other hand, are able to represent the actual process of real supply chain system in the most accurate manner while enabling 1) efficient usage of computational resource 2) ...
doi:10.1109/wsc.2007.4419819
dblp:conf/wsc/KoyuncuLVSS07
fatcat:yyfxmbdayjdc5aaztoasumzd4q
Analysis on Data Mining Model Objected to Internet of Things
2012
International Journal of Advancements in Computing Technology
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The second model is distributed data mining model that could be used to solve the problem of data stored in different locations. ...
The first model is the multilayer data mining model, which consists of data collection, data processing, event processing and data mining service. ...
The model uses the flow chart to represent the transport of goods and achieve multi-dimensional analysis of commodity flow. ...
doi:10.4156/ijact.vol4.issue21.73
fatcat:e4fkof4tizdctcegjqiieocwry
Seasonal ARMA-based SPC charts for anomaly detection: Application to emergency department systems
2016
Neurocomputing
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This study reports the design of a new methodology for the detection of abnormal situations based on the integration of time-series analysis models and statistical process control (SPC) tools for the joint ...
The detection results of the EWMA chart are compared with two other commonly applied residual-based tests: a Shewhart indivi-duals chart and a Cumulative Sum (CUSUM) control chart. ...
[48, 49] : • The demand for care (patient flow), and • The care production capacity (supply). ...
doi:10.1016/j.neucom.2015.10.009
fatcat:sc4zjepffjhajaptehmbddn34a
A Statistical Approach to Detect Jamming Attacks in Wireless Sensor Networks
2018
Sensors
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In this work we propose a step-wise approach using a statistical process control technique to detect these attacks. ...
Additionally, EWMA has also been proposed in the literature to detect the abnormal network traffic during the case of DoS attacks. ...
Acknowledgments: The authors would like to thank the anonymous reviewers for providing a constructive feedback. ...
doi:10.3390/s18061691
pmid:29794994
pmcid:PMC6021802
fatcat:5p7hjp57fvgsfdtos2lpadql5m
LEVEL PARTITIONING OF NODES TO ENHANCE THE NETWORK LIFETIME DURING INTRUSION DETECTION IN WIRELESS SENSOR NETWORKS
2013
Graduate Research in Engineering and Technology
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For such applications in sensor networks, a large number of sensor nodes that are deployed densely in specific sensing environment share the same sensing tasks. ...
In this paper, a novel algorithm is developed to avoid redundancy in sensing the data thereby enhancing the life time of the network. ...
The challenges faced in designing sensor network systems and applications include: • Limited hardware: Each node has limited processing, storage, and communication capabilities, and limited energy supply ...
doi:10.47893/gret.2013.1006
fatcat:eea6rxfcr5etrla6pgki5fkipe
A Review of Applications and Approaches of Network Monitoring
2019
International Journal of Innovative Research in Computer Science & Technology
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In spite of the ever-increasing complicated networks there are a number of approaches proposed for network monitoring which help to reduce the extra overhead on the network, along with monitoring the entire ...
Monitoring the network forms an important part of the Network Management, assisting in visualization of the network behaviour in real time. ...
As there is enormous network data flowing at any instant of time, detecting abnormalities in a user's behaviour is difficult and the existing methods face problems such as high processing, high delay and ...
doi:10.21276/ijircst.2019.7.4.3
fatcat:an7hmbfcszcm7mkhssml5x57de
Construction of a Supply Chain Financial Logistics Supervision System Based on Internet of Things Technology
2021
Mathematical Problems in Engineering
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Based on the background of an intelligent environment, this paper constructs a supply chain financial logistics supervision system based on Internet of Things technology. ...
In recent years, with the rapid development of the global economy and the development trend of more and more stable, well-developed network communications, online shopping has become an increasingly common ...
Supply Chain Financial Logistics Supervision System Based on Internet of Things Technology
Internet of ings Technology. e Internet of ings (IoTs) is a network technology that uses various sensing technologies ...
doi:10.1155/2021/9980397
doaj:5404d39cd2eb47428e8e1dca9922b2c5
fatcat:qg4r2z2lsrfhbnrbsaq425txeq
A Survey of Energy and Spectrum Harvesting Technologies and Protocols for Next Generation Wireless Networks
2020
IEEE Access
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These small sensing devices would be present in many systems around us, such as home appliances, telecommunication devices, medical electronics, transport systems, etc. ...
Energy harvesting (EH) and spectrum harvesting (SH) are two promising and useful green communication and networking mechanisms for the next-generation wireless networks. ...
EH and SH in next generation wireless networks: A schematic flow showing the flow/ salient sections covered in the survey.
FIGURE 2 . 2 FIGURE 2. ...
doi:10.1109/access.2020.3046770
fatcat:zgu7faziaje7nimeaayhjoe2yu
WiFi Data Acquisition System and online monitoring applied to thermoelectric microgeneration modules
2015
The Renewable Energies and Power Quality Journal (RE&PQJ)
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Monitoring and data acquisition systems are applicable in various stages of the microgeneration process, e.g., in the energy resource evaluation, generation failures prognosis, practical verification of ...
The online monitoring and data acquisition system was developed using a WiFi modem coupled to a microcontrolled board based on free software. ...
Fig. 2 . 2 Illustration of a thermoelectric microgeneration process.
Fig. 3 . 3 Typical energy flow path in an internal combustion engine vehicle. ...
doi:10.24084/repqj13.370
fatcat:3yxlivztmbeqng6qinmcomk63i
Advanced control software framework for process control applications
2013
International Journal of Computational Intelligence Systems
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In this paper we reviewed issues of software application in process control systems. ...
Neural network model based DIC (Direct Inverse Control) strategy is implemented to control the process. ...
Due to the increasing complexity in the process system, limitations of classical methods for real-time control become apparent. ...
doi:10.1080/18756891.2013.864473
fatcat:rpqxb3ur3jhsxoeqfhtdz3kquu
Help chain: guidelines for design and operation in Lean Production Systems
2019
Gestão & Produção
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A partial application in the printing department of a tobacco's manufacturer plant is a basis for discussing the strengths and weaknesses of the guidelines. ...
The proposed guidelines involve seven steps: (i) delimitation and evaluation of the scenario of application; (ii) identification and classification of abnormalities; (iii) identification of the types and ...
whys) and process A3; (v) The identification and registration of the operating abnormalities; and (vi) The use of QRPs and the help chain trigger flow. ...
doi:10.1590/0104-530x1974-19
fatcat:rfjzszqmyfhipi4oxchzbcvsva
Difficulties and Critical Success Factors for Implementing Industry 4.0 Technologies in the Continuous Process Chemical Industry
2021
International Journal of Scientific Research and Management
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For example, the availability of real-time data management improves unit operations integration in process intensification. ...
However, the sector presents specific obstacles in deploying 4.0 technologies because of its intrinsic complexity. ...
Acknowledgments Funding: This study was financed, in part, by the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior -Brasil (CAPES) -Finance Code 001". ...
doi:10.18535/ijsrm/v9i07.em04
fatcat:26vzdnjkznh2pgvlrj53wpzevi
APPLICATION OF VIRTUAL INSTRUMENT IN AUTOMATIC TEST OF HIGH-SPEED MIXED SIGNAL
2019
International Journal of Mechatronics and Applied Mechanics
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Key technologies in high-speed mixed-signal test control were improved. A high-speed mixed-signal test system based on virtual instruments was designed. ...
This system consists of multi-channel PMU, high-speed LVD S/O, power supply, SMU and other modular instruments. ...
Flow chart of Test StandThe initialization sub VI is added during the setup process. ...
doi:10.17683/ijomam.issue5.29
fatcat:gu4mt23frja3zfpngkqizjst4e
Linking Emergence to the Complex Product System
2020
IEEE Access
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Choia, Dooley and Rungtusanatham [42] argued that supply networks should be recognized as a complex adaptive system (CAS). ...
Considering that abnormal state (breakdown and awaiting resources) may occur in actual process, Zhang [18] evaluated the probabilities corresponding to the entropy based on practice. ...
PENG WANG is a PhD student in the Department of Navigation, Guidance and Control, Beihang University (BUAA). He Receive the Bachelor's degree and master's degree in 2012 and 2015 respectively. ...
doi:10.1109/access.2020.2974865
fatcat:klfyeyqh6nb2zirnxv7ymjghoe
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