Research

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Research

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Classic philosophies that have been forgotten: Important factors for research and development

Classic philosophies that have been forgotten: Important factors for research and development

In this post, we will discuss the forgotten classic philosophies (values) that are instrumental for performing high quality research, development and innovation activities.

TUTORIAL: MATLAB software inter-connection and cooperation with PYTHON software using pyenv()

Applied programming

TUTORIAL: MATLAB software inter-connection and cooperation with PYTHON software using pyenv()

In a complex software application, most of the time, the application is written with several programming languages. These programming languages are inter-connected and cooperate together (compatible) to deliver the overall software functionalities.

Disruptive innovation to create growth: A research perspective

Disruptive innovation to create growth: A research perspective

Economic growth is one of the main targets of a nation to reach prosperity. It is well known that developed nations leverage knowledge-based economic created from advanced research and high-value products or services.

Public datasets for spoofing and evil waveform (EWF) signals

Public datasets for spoofing and evil waveform (EWF) signals

Spoofing attacks on GNSS signals become more serious than ever due to the advancement of spoofing algorithms and computational capabilities and processing. These spoofing attacks transmit a counterfeit signal that leads to a wrong positioning, timing and navigation (PNT) solutions.

Reverse step: building research and knowledge from data or observation study

Reverse step: building research and knowledge from data or observation study

Research is an iterative process and can be performed in either forward or reverse steps. Different fields of research require different research steps that best suit the specific situation of each field.

Mathematical geometrical fitting: Concept and fitting methods

Mathematical geometrical fitting: Concept and fitting methods

One of instrumental aspects in dimensional, geometrical and surface texture measurements is an algorithm to mathematically fit a geometry to spatial points. These spatial points are captured and digitised by a measuring instrument.

Research: Lessons learnt from “Hands of Time: A Watchmaker's History of Time”

Research: Lessons learnt from “Hands of Time: A Watchmaker's History of Time”

Time is the only thing that all humans have equally. Whether they come from a royal family or from an ordinary family, they all have the same 24 hours per day!

Research as value and economy creation activities

Research as value and economy creation activities

In this post, we will discuss how to estimate the value (in cash) that can be generated from a research activity. In finance, cash is king!

Research is a broad ecosystem: All results are important!

Research is a broad ecosystem: All results are important!

Research is a complex ecosystem where all activities and results (in all fields) will be somehow connected, either directly or indirectly, to each other.

Digital transformation of dimensional and geometrical measurements

Digital transformation of dimensional and geometrical measurements

Today era is the time for thorough digitalisation, from product design, process design to data analysis and executive summary making.

Calculus and linear algebra as tools for statistics

Calculus and linear algebra as tools for statistics

Very often, statistics is overlooked by engineers and the importance of statistics is put behind calculus and (linear) algebra.

Prioritising to use built-in functions in interpreted languages

Applied programming

Prioritising to use built-in functions in interpreted languages

We need to avoid as mush as possible the use of for loop in our algorithm by implementing vectorisation method and using built-in functions as much as possible.

Vectorising linear sequence search in MATLAB programming

Applied programming

Vectorising linear sequence search in MATLAB programming

To significantly speed up the computation speed in MATLAB, the reduction of for loop should be minimised.

Research is like a puzzle: Start from anywhere to reach a goal

Research is like a puzzle: Start from anywhere to reach a goal

Like a puzzle game, research is a unique and challenging but very rewarding activity. This metaphor is somehow valid, although may be not directly an 100% apple-to-apple comparison.

TUTORIAL: PYTHON for fitting Gaussian distribution on data

Applied programming

TUTORIAL: PYTHON for fitting Gaussian distribution on data

In this post, we will present a step-by-step tutorial on how to fit a Gaussian distribution curve on data by using Python programming language. This tutorial can be extended to fit other statistical distributions on data.

TUTORIAL: Visual Basic for Application (VBA) macro in Excel for Monte-Carlo Simulation

Applied programming

TUTORIAL: Visual Basic for Application (VBA) macro in Excel for Monte-Carlo Simulation

In this post, a hands-on tutorial of Visual Basic for Application (VBA) macro in Microsoft Excel for Monte-Carlo (MC) simulation is presented. MC simulation is a powerful tool to analyse and solve various scientific and engineering applications.

Common problems in numerical computation: from data overflow, rounding error, poor conditioning to memory leak

Applied programming

Common problems in numerical computation: from data overflow, rounding error, poor conditioning to memory leak

In many modern science and engineering fields, numerical computation has an essential role to perform meaningful analyses. In numerical computation, many unexpected results occur due to errors related to digital computation instead of errors due to logic or model or formula errors.

Standard deviation and standard error: The fundamental and important differences

Standard deviation and standard error: The fundamental and important differences

In statistical data analysis, the spread of data is mostly quantified with standard deviation. However, for scientific analysis, standard error (SE) (commonly also called, standard deviation of the mean) is more appropriate to use than standard deviation.

Demystifying p-value in analysis of variance (ANOVA)

Demystifying p-value in analysis of variance (ANOVA)

In analysis of variance (ANOVA), p-value is very often used to determine whether an initial hypothesis is accepted or rejected. However, many people still do not know what p-value is. In fact, there is a better parameter to use to accept to reject an initial hypothesis.

Simplicity is the ultimate sophistication: The use of simple rules for successful research

Simplicity is the ultimate sophistication: The use of simple rules for successful research

Actually, to be successful in our research or jobs or other activities, we just need to follow and commit to few simple rules.

Continuous and discrete statistical distributions: Probability density/mass function, cumulative distribution function and the central limit theorem

Continuous and discrete statistical distributions: Probability density/mass function, cumulative distribution function and the central limit theorem

In real world, all variables are random and the randomness is modelled by statistical distributions. In this post, various type of statistical distributions for both continuous and discrete random variables are explained.

50 proven practical tips for successful PhD and research that everyone should know

50 proven practical tips for successful PhD and research that everyone should know

To be successful in research or PhD, anyone can apply these 50 proven tips that are applicable for all types of research activities and PhD studies.

Is research expensive?

Is research expensive?

People always ask: “is research expensive?” and how much advanced countries spend their money on research. The answer is obviously yes, but also NO. here is why.

What is the essence of PhD?

What is the essence of PhD?

When people get their PhD, very often, we think that they know everything about their field. The truth is they are not.

The most important tools for research

The most important tools for research

We always ask what the most important tools for research are. We might think that the tools can be Matlab, Python or other programming languages.