Category Archives: Uncategorized

NeuBlog – NeuLog AI

September 4, 2025UncategorizedElad Nahum

Projects using NeuLog sensors and AI

04/09/2025

One of NeuLog’s most notable advantages is the ability to perform an experiment with multiple sensors synchronized to each other, even connected wirelessly by Bluetooth to any computer platform.

Another unique advantage of NeuLog, is the ability to use multiple sensors of the same type in an experiment. NeuLog enables the use of up to nine sensors of the same type in an experiment.

A simple way to work with AI is to run a research experiment with NeuLog sensors, save the data in an Excel file, and then ask ChatGPT to analyze the results.

Here is an example of a dialog with ChatGPT about photosynthesis.

You said:

I have small greenhouse with temperature, oxygen and CO2 sensors.

I have measurements of these sensors for 7 days.

What analysis I can get from you?

ChatGPT said:

Great — with 7 days of data from temperature, oxygen, and CO₂ sensors in your greenhouse, there are several useful analyses we can perform to help you understand your system and optimize plant growth. Here’s a breakdown of what I can offer:

Data Cleaning and Summary Statistics

Detect missing or abnormal values

Daily averages, minimums, and maximums

Summary trends: Are temperature or CO₂ levels consistent? Is oxygen dropping at night?

Time Series Analysis

Plot trends over time (hourly/daily patterns)

Detect diurnal cycles (e.g., does CO₂ rise at night when photosynthesis stops?)

Identify anomalies or events (e.g., heat spikes, ventilation failures)

Correlation and Interaction Analysis

How does temperature affect CO₂ or oxygen?

Check correlations:

Does higher temperature reduce CO₂ faster?

Is oxygen increasing during daylight (photosynthesis)?

Visualize relationships using scatter plots or correlation matrices.

Photosynthesis Insights

If your plants are active photo synthesizers (e.g., tomatoes, lettuce), we can:

Estimate photosynthetic activity from O₂ and CO₂ patterns

Compare day vs. night gas exchange

Suggest optimal CO₂ ranges and timing for injection (if you control it)

Machine Learning or Predictive Modeling (Optional)

With just 7 days, ML models are limited, but we could:

Build simple models to predict CO₂ or O₂ based on temperature

Cluster periods into “high activity” vs. “low activity” days

Start training a model to recommend optimal conditions

Optimization Suggestions

Based on the analysis, I can:

Suggest temperature or CO₂ levels that correlate with higher O₂ (photosynthesis proxy)

Recommend ventilation, CO₂ injection, or shading schedules

What I need from you:

Please upload the sensor data — preferably in CSV or Excel format, with timestamps and columns like:

timestamp, temperature, CO2_ppm, oxygen percent

Once I have the file, I can:

Run the full analysis

Generate graphs

Give you actionable insights

Here’s a quick checklist to help you format it properly:

Recommended File Format: CSV or Excel

Example file name: greenhouse_data.csv or greenhouse_readings.xlsx

Column Structure

Make sure your file has a header row, like this:

timestamp temperature CO2_ppm oxygen percent

2025-07-10 08:00:00 26.5 480 20.5

2025-07-10 09:00:00 27.0 450 20.6

... ... ... ...

timestamp should include both date and time (hourly preferred)

Units:

Temperature in °C

CO₂ in ppm (parts per million)

Oxygen in % (e.g., 20.9 for normal air)

Optional columns (if available):

If you have other sensors or notes (e.g., light intensity, humidity, fan on/off, etc.), include them as extra columns.

Once the file is ready:

Upload it here.

I’ll immediately start the analysis and show you insights with visuals.

Let me know if you need help cleaning or formatting the file too — I can guide you step-by-step in Excel or any tool you're using.

Photosynthesis research steps

Install NeuLog's CO², oxygen, and temperature sensors connected to the Bluetooth module in one chamber of the Ecolog kit and a pot with a plant
Ensure the possibility of watering the plant
Ensure electricity for the Bluetooth module
Run the experiment for at least a week (preferably longer)
Export the data to an Excel file
Contact ChatGPT and ask them to analyze the data as described above.

More research examples

The following experiments were done by high school students, but without ChatGPT help.

Better sail design

Prepare a model of a boat with a sail.
A powerful fan is installed in back of the board.
The boat is connected to two force sensors to measure the force vectors acting on the boat: the force along the boat (which represents its speed of progress) and the force on the side of the boat (which represents the degree of friction of the boat in the water).
The boat sail is connected to an angle sensor that shows the angle of the sail relative to the boat body (zero angle indicates that the sail is parallel to the boat body)
Another angle sensor shows the direction of the boat relative to the fan.
Run an experiment that samples and saves the forces and angles.
Change the boat and the sail angles to the wind direction.
Save the results of the experiments in Excel sheets
After completing the test, replace the sail with another sail and repeat the process.
Transfer the data to GPT, which will find which sail has the best quality.

Acoustics test

Distribute five sound sensors in a room
Make a loud sound or play a loud music near one of the sensors
Export the data to an Excel file
Send the data to GPT and ask it to analyze the acoustics in the room and to recommend improvements.

You can ask ChatGPT for additional ideas for research experiments to be carried out with certain sensors.

In the next post we shall share such dialogs with ChatGPT.

The NeuLog system enables the creation of Machine Learning Systems, and we shall describe that later using the NeuLog API software.

Privacy Policy – Headline

August 11, 2025UncategorizedElad Nahum

Thank you for visiting www.neulog.com website.

This site belongs and operated by S.E.S. – Scientific Educational Systems Ltd., which has developed and manufactures the NeuLog® product line.

S.E.S.

Privacy Policy

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If you are NOT a resident of the EU/EEA, the following privacy policy will apply to you. If you ARE a resident of the EU/EEA, please refer to our EU Privacy Policy below.

Privacy Policy – TL;DR

August 11, 2025UncategorizedElad Nahum

TL;DR (Short version)

We use cookies
We may use automated scripts to gather technical but not personally identifiable information about you
We ask for some personal details in our Contact Form in case you want to contact us
We store this data securely and don’t pass it to other parties

Privacy Policy -main

August 11, 2025UncategorizedElad Nahum

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NeuBlog – Sound experiments

August 4, 2025UncategorizedElad Nahum

Sound experiments

04/08/2025

Our goal is to ensure that students do not experience failure. We aim to support teachers by providing lesson plans that keep students attentive and help them understand and retain complex material. This includes detailing the procedure step by step, demonstrating expected results, and guiding students through their analysis.

In sound experiments, mathematics plays a crucial role in analyzing measurements and graphs, helping students gain a deeper understanding of sound principles. As we always emphasize—mathematics is the language of science.

The sound experiments require the following set:

BLT-202 USB/Bluetooth communication module
NUL-212 Sound logger sensor

The sound lesson plans can be found in Physics experiment page in this site.

The sound videos can be found in Experiment videos page in this site.

The lesson plan Exploring sound covers how to measure different intensities of sound, what is the meaning of sound units (dB) and why it is used, different levels of sound intensities and the concept of sound isolation.

Speed of sound video

This video shows how to measure the time delay between the two sound sensors and calculating the speed of the sound in air.

The lesson plan Speed of sound, describes how to measure the speed of sound. In this experiment we use two sound sensors in distance between them, clapping hands near one of them and measuring the time delay in the graph.

The speed of sound is calculated by dividing the distance between the two sensors by the time delay.

Sound waves video

This video shows the sound waves, how to measure its frequency and how a musical instrument sound looks like.

The lesson plan Sound beats, demonstrates the interference of two sound waves and analyzing the resulting wave mathematically.

Sound Intensity

Sound is a travelling wave that propagates as an oscillation of pressure through solids, liquids, or gases. It consists of frequencies within the range of human hearing and of and at levels strong enough to be perceived.

Sound intensity is defined as the power per unit area. The basic units are watts/m² or watts/cm²

Sound intensity measurements are made relative to the standard threshold of human hearing intensity at 1000Hz, I₀.

The sound levels we hear vary dramatically. For instance:

Whispering is 1000 times louder than the hearing threshold.
Speech in a restaurant is 10 million times louder than the hearing threshold.
A rock concert is 10 billion times louder than the hearing threshold.

The amazing thing is that the human ear is able to distinguish speech at all different levels of intensity and on a logarithmic scale.

Sound intensity is commonly measured in decibels (dB). It is a logarithmic scale, meaning an increase of 10 dB represents a tenfold increase in intensity.

Decibels measure the ratio of a given intensity I to the threshold of hearing intensity, I₀.

I(dB) = 10 log₁₀ [

I₀

]

When I = I₀ the sound level is 0dB.

In a quiet room (what is called silence), the sound intensity is 10,000 times the threshold and produces 40dB (10log10[10,000] = 40).

Speed of sound

The speed of sound is the velocity at which sound waves propagate through a medium. Sound waves are mechanical longitudinal waves generated by pressure variations in a medium, which the human ear perceives as sound.

The speed of sound experiment utilizes two sound sensors to measure the propagation of sound through air. By placing the sensors in a known distance apart and generating a sharp sound (such as a hand clap), we can determine the time difference between the signals received by each sensor.

Sound waves

Key properties of sound waves are:

Frequency (f): The number of complete cycles per second, measured in Hertz (Hz).
Period (T): The time taken for one full cycle, measured in seconds.
In this activity, we will use a sound logger sensor to measure the period and frequency of sound waves produced by three tuning forks with different lengths.

A sound signal is sine signal according to the following formula:

A(t) = Asin(2πft)

A represents the amplitude (maximum value) of the signal
f represents the frequency

The following graph describes a sine wave in the time domain:

Another way to describe waves is in the frequency domain:

This graph shows the frequency and amplitude of the wave. If the wave is composed of several sine waves, this graph displays them.

Converting a signal to frequency domain is called Fourier Transform. We use this NeuLog function especially to see the side tones of a musical instrument sound.

Sound Beats and Wave Interference

Wave interference is a phenomenon which occurs when two waves meet while traveling along the same medium. When two waves interfere, the resulting displacement of the medium at any location is the algebraic sum of the displacements of the individual waves at that same location.

When two sound waves of nearly identical frequencies interact, they create a phenomenon called beats. Beats occur due to superposition, where two waves combine to form a new wave pattern.
Constructive interference occurs when waves reinforce each other, increasing amplitude.

Destructive interference occurs when waves cancel each other out, reducing amplitude.

This experiment explores how two tuning forks with slightly different frequencies produce beats. The frequency difference between the two forks determines the beat frequency.

The following signal is the outcome of these two signals.

The Fourier Transform of this beat signal is:

The beat signal is a sum of two waves:

Asin(2πf1t) + Asin(2πf2t)

We use the trigonometric formula to show that that this sum of two sine waves is equal to a product of two waves:

2Acos(2π(f1 - f2)/2)t)sin(2π(f1 + f2)/2)t)

This is what we call a modulated signal.

The signal frequency is (f1 + f2)/2.

The amplitude is changed according to the frequency (f1 – f2)/2.

GSR Contact

May 19, 2025UncategorizedElad Nahum

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Temperature Contact

May 19, 2025UncategorizedElad Nahum

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Chemistry Bundle

April 14, 2025UncategorizedElad Nahum

Biology Physics Chemistry More Bundles All sensors

Chemistry bundle

You teach. We handle the tech.

From Concept to Experiment – No more dry theory. Empower students to explore chemical reactions, acid-base interactions, and solution properties with real-time measurements.

Seamless Integration – Works with PC, Mac, and smartphone. Read more

1. Voltage Logger Sensor

2. Temperature Logger Sensor

3. pH Logger Sensor

4. Pressure Logger Sensor

5. Conductivity Logger Sensor

What Can You Explore?

Acid-Base Reactions – Track real-time pH changes during titrations and buffer experiments.

Reaction Rates – Monitor temperature and pressure changes to study kinetics and exothermic/endothermic reactions, heat transfer and latent heat. Read more

Teaching Chemistry?

We’ve Got You.

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contact you in no time

Physics Bundle

April 14, 2025UncategorizedElad Nahum

Biology Physics Chemistry More Bundles All sensors

Physics bundle

You teach. We handle the tech.

From Theory to Reality – No more abstract formulas. Bring physics to life by measuring motion, force, electricity, light and sound with real, hands-on experiments.

Seamless Integration – Works with PC, Mac, and smartphone. Read more

1. Motion Logger Sensor

2. Force Logger Sensor

3. Photo Gate Logger Sensor

4. Voltage Logger Sensor

5. Current Logger Sensor

6. Light Logger Sensor

7. Sound Logger Sensor

8. Magnetic Logger Sensor

9. Force Plate Logger Sensor

10. Acceleration Logger Sensor

What Can You Explore?

Newton’s Laws in Action – Use motion, force, and photo gate sensors to investigate the relationship between force, mass, and motion.

Kinematics & Dynamics – Analyze speed, velocity, and acceleration in real time with motion and photo gate sensors.”> Read more

Teaching Physics?

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contact you in no time

Biology bundle

April 2, 2025UncategorizedElad Nahum

Biology Physics Chemistry More Bundles All sensors

Biology bundle

You teach. We handle the tech.

From Theory to Reality – No more abstract concepts. Measure real biological processes like respiration, heart rate, and gas exchange.

Reliable, Real-Time Data – No manual calculations—students get instant, accurate readings to support scientific inquiry. Read more

1. CO₂ Logger Sensor

2. Oxygen Logger Sensor

3. Pressure Logger Sensor

4. Temperature Logger Sensor

5. Conductivity Logger Sensor

What Can You Explore?

Cellular Respiration – Measure CO₂ and oxygen levels to observe aerobic and anaerobic respiration in real time.

Gas Exchange – Explore how gases move in and out of the body using CO₂ and O₂ sensors. Read more

Teaching Biology?

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NeuLog Sensors

NeuLog logger sensors offer a myriad of didactic tools to meet your needs in the field of scientific studies. NeuLog isa set of independent computer based modules, complete with a data logger, flash memory and a sensor – all in one single smart unit.

Category Archives: Uncategorized

NeuBlog – NeuLog AI

Projects using NeuLog sensors and AI

Privacy Policy – Headline

Privacy Policy – TL;DR

TL;DR (Short version)

Privacy Policy -main

NeuBlog – Sound experiments

Sound experiments

Speed of sound video

Sound waves video

Sound Intensity

Speed of sound

Sound waves

Sound Beats and Wave Interference

GSR Contact

Temperature Contact

Chemistry Bundle

Biology Physics Chemistry More Bundles All sensors

Physics Bundle

Biology Physics Chemistry More Bundles All sensors

Biology bundle

Biology Physics Chemistry More Bundles All sensors