Role of Data Mining in Detecting Theft and Making Effective Impact on Performance Management

Jain, Vipin; Ahmed, Alim Al Ayub; Chaudhary, Vijesh; Saxena, Divya; Subramanian, Mani; Mohiddin, Md. Khaja

doi:10.1007/978-981-19-0108-9_44

Cited by 7 publications

(3 citation statements)

References 10 publications

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“…In this method, development boards like Arduino, Nodemcu, and Raspberry-pi are used as processor, and various sensors are interfaced with them for data collection. With the use of Wi-Fi modules, all the parameters can be stored in cloud [1,[5][6][7][8]. In reference paper [4], Nodemcu has been used for acquiring motor parameters for traction drive and upload it in cloud.…”

Section: Related Workmentioning

confidence: 99%

“…In most of the previous work done, sensors that have been used for parameter collection are ADXL 345, ACS 7212, and LM 35 as acceleration, current, and temperature sensors, respectively [8,11]. In contrast to it in reference paper [9], piezoelectric transducer is used to collect vibration data for motors and storing it in cloud using Nodemcu.…”

Section: Related Workmentioning

confidence: 99%

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Monitoring of Single-Phase Induction Motor through IoT Using ESP32 Module

Shukla

Chacko³

et al. 2022

Journal of Sensors

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The condition monitoring of rotating machines for critical applications plays an important role in reducing downtime. With Industry 4.0, the role of IoT in online condition monitoring of electrical machines has gained considerable significance. The main aim of the paper is the use of IoT for online monitoring of motor parameters like current, temperature, vibration, and humidity and observing its online trending using a web server. Data can be accessed in form of graphs and widgets by visiting the web page. The advantage of this project is the real-time monitoring of the motor from any remote area and in case of any abnormality operating personnel can take necessary steps for preventing complete breakdown. The proposed work can help industry people in online monitoring of motors and in the future work can be extended for fault prediction and classification.

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Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Monitoring of Single-Phase Induction Motor through IoT Using ESP32 Module

Shukla

Chacko³

et al. 2022

Journal of Sensors

Self Cite

View full text Add to dashboard Cite

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“…Regarding the form of business, each echelon can be classified as a monopoly, duopoly, or oligopoly. The domain of blockchain technology encompasses multiple entities competing for market share and can be classified as an oligopolistic industry [75]. The study conducted by [76] investigates the feasibility of integrating financial and vendor ratings to formulate a credit rating model for the supply chain.…”

Section: Supply Chain Managementmentioning

confidence: 99%

Smart Contracts Security Application and Challenges: A Review

Fadele Ayotunde Alaba,

Hakeem Adewale Sulaimon,

Madu Ifeyinwa Marisa

et al. 2023

Cloud Computing and Data Science

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There has been a rise in the demand for blockchain-based smart contract development platforms and language implementations. On the other hand, smart contracts and blockchain applications are generated using non-standard software life cycles, which means that, for example, distributed applications are rarely updated, or bugs are fully addressed by releasing a newer version, leading to security flaws and challenges for users to adopt the technology. Smart contracts have gained significant attention due to their potential to automate and secure various transactions in diverse domains. However, the increasing adoption of smart contracts has also raised concerns about security vulnerabilities and potential risks. In this paper, an overview of smart contracts was discussed in detail. It further distinguished and compared smart contracts security with conventional security regarding security, privacy, communication channel, etc. Different platforms for smart contracts, such as Bitcoin, Ethereum, Counterparty, Stellar, Monax, and Lisk, are also discussed in this paper. Some proposed techniques are used in different areas for handling security threats in smart contracts. In addition, a taxonomy of the smart contracts security application was proposed, which attempts to solve some of the flaws and inadequacies in smart contracts. The study also provides a comprehensive smart contracts security scenario with different techniques. Lastly, the possible attacks posed by threats and vulnerabilities of the smart contracts are provided. The security threats and vulnerabilities addressed in this study are unique to smart contracts.

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Machine Learning Algorithms on Malware Detection Against Smart Wearable Devices

Alaba,

Rocha

2024

Studies in Systems, Decision and Control

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Role of Data Mining in Detecting Theft and Making Effective Impact on Performance Management

Cited by 7 publications

References 10 publications

Monitoring of Single-Phase Induction Motor through IoT Using ESP32 Module

Monitoring of Single-Phase Induction Motor through IoT Using ESP32 Module

Smart Contracts Security Application and Challenges: A Review

Machine Learning Algorithms on Malware Detection Against Smart Wearable Devices

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