Tillage-live pt2

Recently uploaded

Passive Air Cooling System and Solar Water Heater.ppt

In this study, using the fuzzy logic method, a stress detection tool was created with body temperature and blood pressure parameters as indicators to determine a person's stress level. This tool uses the LM35DZ sensor to detect body temperature, the MPX5100GP sensor to read blood pressure values, and Arduino Uno as a data processor from sensor readings which are then calculated using the fuzzy logic method as a stress level decisionmaker. The resulting output measures blood pressure, body temperature, and the stress level experienced by a person, which will be displayed on the liquid crystal display. Based on the results of testing the body temperature parameter, the highest error generated was 1.17%, and for the blood pressure parameter, the highest error was 2.5% for systole and 0.93% for diastole. Furthermore, testing the stress level displayed on the tool is compared to the depression, anxiety, and stress scales 42 (DASS 42), a psychological stress measuring instrument. From the results of testing the tool with the questionnaire, the average conformity level is 74%.

Fuzzy logic method-based stress detector with blood pressure and body tempera...

IJECEIAES

Artificial intelligence presentation2-171219131633.pdf

Kira Dess

This research is developing an incubator system that integrates the internet of things and artificial intelligence to improve care for premature babies. The system workflow starts with sensors that collect data from the incubator. Then, the data is sent in real-time to the internet of things (IoT) broker eclipse mosquito using the message queue telemetry transport (MQTT) protocol version 5.0. After that, the data is stored in a database for analysis using the long short-term memory network (LSTM) method and displayed in a web application using an application programming interface (API) service. Furthermore, the experimental results produce as many as 2,880 rows of data stored in the database. The correlation coefficient between the target attribute and other attributes ranges from 0.23 to 0.48. Next, several experiments were conducted to evaluate the model-predicted value on the test data. The best results are obtained using a two-layer LSTM configuration model, each with 60 neurons and a lookback setting 6. This model produces an R 2 value of 0.934, with a root mean square error (RMSE) value of 0.015 and a mean absolute error (MAE) of 0.008. In addition, the R 2 value was also evaluated for each attribute used as input, with a result of values between 0.590 and 0.845.

Developing a smart system for infant incubators using the internet of things ...

IJECEIAES

A Coordinate Measuring Machine (CMM) is a precision measuring metrology machine used in manufacturing and quality control processes to precisely measure the geometric characteristics of objects. It operates on the principle of coordinate geometry, employing a probe to collect data points from the surface of an object to determine the dimensions, shapes, and positions of features, such as holes, slots, and surfaces. CMMs are essential tools for ensuring that manufactured parts meet design specifications and quality standards.

What is Coordinate Measuring Machine? CMM Types, Features, Functions

VIEW

NEWLETTER FRANCE HELICES/ SDS SURFACE DRIVES - MAY 2024

EMMANUELLEFRANCEHELI

Involute of a circle,Square, pentagon,HexagonInvolute_Engineering Drawing.pdf

JNTUA

According to the World Health Organization (WHO), seventy million individuals worldwide suffer from epilepsy, a neurological disorder. While electroencephalography (EEG) is crucial for diagnosing epilepsy and monitoring the brain activity of epilepsy patients, it requires a specialist to examine all EEG recordings to find epileptic behavior. This procedure needs an experienced doctor, and a precise epilepsy diagnosis is crucial for appropriate treatment. To identify epileptic seizures, this study employed a convolutional neural network (CNN) based on raw scalp EEG signals to discriminate between preictal, ictal, postictal, and interictal segments. The possibility of these characteristics is explored by examining how well timedomain signals work in the detection of epileptic signals using intracranial Freiburg Hospital (FH), scalp Children's Hospital Boston-Massachusetts Institute of Technology (CHB-MIT) databases, and Temple University Hospital (TUH) EEG. To test the viability of this approach, two types of experiments were carried out. Firstly, binary class classification (preictal, ictal, postictal each versus interictal) and four-class classification (interictal versus preictal versus ictal versus postictal). The average accuracy for stage detection using CHB-MIT database was 84.4%, while the Freiburg database's time-domain signals had an accuracy of 79.7% and the highest accuracy of 94.02% for classification in the TUH EEG database when comparing interictal stage to preictal stage.

Seizure stage detection of epileptic seizure using convolutional neural networks

IJECEIAES

History of Indian Railways - the story of Growth & Modernization

Emaan Sharma

It is a new concept in town planning, and it may have a highly positive impact on cities and communities. It not only promotes sustainability but also helps increase the health of people and boost the economy. Although it has a lot of advantages, critics argue that this concept is not for all cities and describe its effects as well. New cities should follow this pattern to build and develop their cities

15-Minute City: A Completely New Horizon

Morshed Ahmed Rahath

Circuit Breakers for Engineering Students

kannan348865

Worksharing and 3D Modeling with Revit.pptx

Mustafa Ahmed

We investigated the applicability and efficiency of the MLMC approach to the Henry-like problem with uncertain porosity, permeability and recharge. These uncertain parameters were modelled by random fields with three independent random variables. Permeability is a function of porosity. Both functions are time-dependent, have multi-scale behaviour and are defined for two layers. The numerical solution for each random realisation was obtained using the well-known ug4 parallel multigrid solver. The number of random samples required at each level was estimated by calculating the decay of the variances and the computational cost for each level. The MLMC method was used to compute the expected value and variance of several QoIs, such as the solution at a few preselected points $(t,\bx)$, the solution integrated over a small subdomain, and the time evolution of the freshwater integral. We have found that some QoIs require only 2-3 mesh levels and samples from finer meshes would not significantly improve the result. Other QoIs require more grid levels.

litvinenko_Henry_Intrusion_Hong-Kong_2024.pdf

Alexander Litvinenko

Intro to Design (for Engineers) at Sydney Uni

R. Sosa

Final DBMS Manual (2).pdf final lab manual

BalamuruganV28

CLOUD COMPUTING SERVICES - Cloud Reference Modal

SwarnaSLcse

In this short lecture, I explain the fundamentals of electromagnetic compatibility (EMC), the basic coupling model and coupling paths via cables, electric fields, magnetic fields and wave fields. We also look at electric vehicles as an example of systems with many conducted EMC problems due to power electronic devices such as rectifiers and inverters with non-linear components such as diodes and fast switching components such as MOSFETs or IGBTs. After a brief review of circuit analysis fundamentals and an experimental investigation of the frequency-dependent impedance of resistors, capacitors and inductors, we look at a simple low-pass filter. The transfer function is derived and measured.

Filters for Electromagnetic Compatibility Applications

Mathias Magdowski

SLIDESHARE PPT-DECISION MAKING METHODS.pptx

CHAIRMAN M

analog-vs-digital-communication (concept of analog and digital).pptx

Karpagam Institute of Teechnology

Interfacing Analog to Digital Data Converters ee3404.pdf

ragupathi90

Recently uploaded (20)

Passive Air Cooling System and Solar Water Heater.ppt

Fuzzy logic method-based stress detector with blood pressure and body tempera...

Artificial intelligence presentation2-171219131633.pdf

Developing a smart system for infant incubators using the internet of things ...

What is Coordinate Measuring Machine? CMM Types, Features, Functions

NEWLETTER FRANCE HELICES/ SDS SURFACE DRIVES - MAY 2024

Involute of a circle,Square, pentagon,HexagonInvolute_Engineering Drawing.pdf

Seizure stage detection of epileptic seizure using convolutional neural networks

History of Indian Railways - the story of Growth & Modernization

15-Minute City: A Completely New Horizon

Circuit Breakers for Engineering Students

Worksharing and 3D Modeling with Revit.pptx

litvinenko_Henry_Intrusion_Hong-Kong_2024.pdf

Intro to Design (for Engineers) at Sydney Uni

Final DBMS Manual (2).pdf final lab manual

CLOUD COMPUTING SERVICES - Cloud Reference Modal

Filters for Electromagnetic Compatibility Applications

SLIDESHARE PPT-DECISION MAKING METHODS.pptx

analog-vs-digital-communication (concept of analog and digital).pptx

Interfacing Analog to Digital Data Converters ee3404.pdf

Tillage-live pt2

Recommended

Recommended

More Related Content

Recently uploaded

Recently uploaded (20)

Featured

Featured (20)

Tillage-live pt2