I’d like to make a note for setting ROS laptop to communicate with any ROS node master. My case is on Raspberry pi. A good starting tutorial is http://wiki.ros.org/ROS/NetworkSetup. Also, when I setup I found many problems. I googled many places for the solution. …

My background: I am new to ROS (Robot Operating System). I’d like to explore the use of Jetson and Raspberry pi in IoT applications and I am interesting in deep learning. Autonomous cars are one of the targets where deep learning is used. Building the autonomous car software can be…

Let’s explore the final project from our big data class as following. This year we have 7 projects. They look pretty good to me.

Feel free to clap or comment the ones you like.

  1. Log analysis:

Centralized Logging Filebeat+Logstash+ Kafka + Elastic + kibana by poon & asamaporn

https://poonsht.medium.com/centralized-logging-%E0%B8%94%E0%B9%89%E0%B8%A7%E0%B8%A2-kafka-elastic-stack-b5314e4ec0a6

2…

I am wandering around and try to find a solution to develop face recognition project on Android. My goal is to run facial expression, facial age, gender and face recognition offline on Android (expected version: 7.1).

Classification/Object Detection TensorFlow Lite Example

I wandered and find the usable example from TensorFlow Github. The example based on…

A big data class this semester (spring 2019) has passed.

Our focus is the platform and big data ecosystem they have practiced. At first, I thought I am going to have one VM and let all students use it. In this case, they will not be worried about the setting…

Photo by Paul Rysz on Unsplash

Since we are interested ontology data extraction for tourism data set, we try to find the way to insert data to the ontology automatically. We have many texts and find it difficult to read these texts and find relations and keywords to discover necessary information. Thus, we create an experimental…

From previous article https://medium.com/@chantrapornchai/arima-for-energy-consumption-data-part-ii-ac779b40586e, we consider using auto-regression using statsmodel with ARIMA. It is difficult to figure out the p,q,d even though we study ACF, PACF. One suggestion is to perform grid search on p,d,q as in https://machinelearningmastery.com/grid-search-arima-hyperparameters-with-python/. …

We explore various face recognition libraries and tools. The tools we explore are OpenCV, Dlib (OpenFace), deep learning tool.

Since face recognition contains two steps: face detection and face recognition. The first phase, face detection is the process of detecting bounding box of the face in the frame. Face recognition…

From previous article, https://medium.com/@chantrapornchai/arima-for-energy-data-i-a7b466590af4. We analyze the stationary and decompose the signal.

Next, let’s consider how to use ARIMA for creating prediction model. Try to eliminate stationary using log difference, where ts is the data.

ts_log = np.log(ts)
ts_log_diff = ts_log — ts_log.shift()

We drop NAN value.

ts_log_diff.dropna(inplace=True)

Reading CRAC3.out.csv…

To select forecasting model, we break a time series down into systematic and unsystematic components (https://machinelearningmastery.com/decompose-time-series-data-trend-seasonality/)

Systematic components are the recurrence, consistent that we can construct the model for prediction. Non-systematic components are noises.

Generally, the components of the signal can be divided into:

  • Level: The average value in the…

chantana chantrapornchai

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