Predict the Percentage Error of LM35 Temperature Sensor Readings using Simple Linear Regression Analysis

Nasution, Tigor Hamonangan; Harahap, Lukman Adlin

doi:10.1109/elticom50775.2020.9230472

Cited by 12 publications

(4 citation statements)

References 14 publications

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“…The sensors, which were not industrial grade, may not have been suitable for use for an extended period of time in a hot and humid environment. Such conditions may have contributed to the high number of erroneous readings which was consistent with observations made in other experiments conducted in the domain [26,27]. Another potential contributing factor to the erroneous reading may have been the peak hours of usage.…”

Section: Test Deployment and Discussion With Stakeholderssupporting

confidence: 85%

Cost-Effective IoT Extensions for Existing Public Coin Operated Washing Machine Towards Smarter Apartment Complexes

Setthawong

Triyason

Osothsilp

et al. 2022

Curr. Appl. Sci. Technol.

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Due to increasing urbanization in Bangkok, Thailand, it is observed that there are an increasing number of people who have moved into high-density apartment/condominium complexes. One common service that is provided at such complexes is the provision of public coin operated washing machines that allow tenants to do their laundry at a reasonable price. This has led to a new set of challenges, one of which is that the number of public coin operated washing machines is usually inadequate during peak hours, leading to long waits in queues for the tenants. The development of smart public coin operated washing machines has improved the quality of life of the tenants. This research proposes a smart public coin operated washing machine platform by extending the usefulness and convenience of existing washing machines using IoT applications. The infrastructure, the proposed application features, and the vacancy state detection of the new washing machine platform are discussed. Using the proposed platform, tenants using public coin operated washing machines can better plan when to do their laundry even during peak hours, improving their quality of life.

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Section: Test Deployment and Discussion With Stakeholderssupporting

confidence: 85%

Cost-Effective IoT Extensions for Existing Public Coin Operated Washing Machine Towards Smarter Apartment Complexes

Setthawong

Triyason

Osothsilp

et al. 2022

Curr. Appl. Sci. Technol.

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“…Linear regression shows the linear relationship between the independent variables and the dependent variable [27]. It is used to model the association between two continuous variables.…”

Section: Linear Regressionmentioning

confidence: 99%

Optimizing Timely Diabetes Detection Through Advanced Predictive Modeling and Patient Medical Statistics

Mehan

2023

INDJCSE

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Diabetes has become prevalent across a significant portion of the global population. While medication offers one avenue for disease management, its dosage often escalates with age, eventually necessitating insulin injections. Alternatively, lifestyle adjustments provide another means of control. Detecting diabetes early holds the potential to enhance patient well-being and avert the onset of the disease. This study undertakes a thorough parametric analysis of diabetes, comparing Linear, Multi-Linear, Polynomial, and Logistic Regression Models. The goal is to identify the optimal approach for predicting diabetes. Leveraging a dataset encompassing 768 patients from the National Institute of Diabetes and Digestive and Kidney Diseases, USA, the research considers both Patient Medical Statistics (PMS) and a Combination of Patients Medical Statistics (CPMS), featuring variables such as Pregnancy, Blood Sugar (BS), Blood Pressure (BP), Body Fat (BF), Insulin Level (IL), Body Mass Index (BMI), Diabetes Pedigree Function (DPF), and Age. Evaluation metrics, including Root Mean Square Error (RMSE) and Coefficient of Determination (R2), guide model selection. By employing R2, the ranking of PMS and CPMS is determined to yield a highly efficient model. Empirical findings indicate the Multiple Linear Regression model as presenting the lowest RMSE among all regression models. However, the comparative assessment underscores the suitability of Logistic Regression due to its discrete nature, demonstrating superior accuracy in prediction compared to other models.

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“…Table 1 shows the sensors utilized in the prototype and their parameters. The LM35 sensor measures temperature since it is small and accurate to within 3°C [8]. An MQ2 gas sensor is used to detect gas concentration with an accuracy of 85%, while a DHT11 sensor is used to measure humidity with an accuracy of ±5% RH.…”

Section: Sensors Specificationsmentioning

confidence: 99%

Coal Mine Safety Monitoring and Alerting System with Smart Helmet

Mangesh¹,

Shivam²,

Madhuri³

et al. 2022

ITM Web Conf.

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Traditional monitoring systems in coal mines are difficult to install, hazardous, and difficult to power. Because of the complexity of the mining environment and the wide range of operations performed in coal mines, it is vital to monitor and maintain the parameters in the background t increase the efficiency and safety of mineworkers. As a result, traditional monitoring methods cannot be relied on to ensure coal workers’ safety. This research represents a ZigBee-based wireless monitoring system using a smart helmet. The presented wireless monitoring system is capable of detecting and transmitting critical parameters in coal mines such as methane gas, high temperature, humidity, and fire. In an emergency, this monitoring system transmits distress signals. A buzzer will sound if emergency conditions are detected, and the monitored variables will be displayed on the user interface machine. Moreover, the Parameters are wirelessly transmitted to the control room, allowing people to determine the safety situation of the mine. This model is easily reprogrammable. Experiments have demonstrated the system’s reliability and stability.

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Predict the Percentage Error of LM35 Temperature Sensor Readings using Simple Linear Regression Analysis

Cited by 12 publications

References 14 publications

Cost-Effective IoT Extensions for Existing Public Coin Operated Washing Machine Towards Smarter Apartment Complexes

Cost-Effective IoT Extensions for Existing Public Coin Operated Washing Machine Towards Smarter Apartment Complexes

Optimizing Timely Diabetes Detection Through Advanced Predictive Modeling and Patient Medical Statistics

Coal Mine Safety Monitoring and Alerting System with Smart Helmet

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