Chawuthai, Rathachai
Loading...
Preferred name
Chawuthai, Rathachai
Alternative Name
Chawuthai, R.
Main Affiliation
Email
rathachai.ch@kmitl.ac.th
9 results
Now showing 1 - 9 of 9
- Some of the metrics are blocked by yourconsent settings
Item type:Publication, Defect detection of GPS trackers through data visualization(2019-07-01); A Global Positioning System (GPS) tracker installed in a vehicle is commonly used to improve logistics management processes and transportation safety. All GPS trackers must send data including locations, timestamps, and speeds to a server all the time. In case of a device failure, it can be checked by incomplete data; however, a device's sensor inaccuracy, which can create negative consequences to many parties, becomes a challenging issue to detect. With this reason, this paper aims to adopt data visualization to find out the defect of GPS trackers. It has been found that some defects noticed by a visualization were reported, and providers got advantage of this result to maintain their devices. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Monitoring roadway lights and pavement defects for nighttime street safety assessment by sensor data analysis and visualization(2018-01-01)Street maintenance and improvement are significant missions in ensuring transportation safety, especially at nighttime because the severity of injuries doubles at night. Driving visibility and road surface conditions are key factors behind nighttime traffic accidents, and they must be solved as a major priority. Having an exclusive report representing this issue becomes useful documentation for preparing an effective plan for repairing and upgrading a street at appropriate locations. However, road observations are mostly performed by humans, so reports are imprecise owing to the limitation of human cognition and documentation during observation at night. For this reason, the aim of this work is to create a visualization report for monitoring the risk on a street at nighttime. To achieve this goal, a light sensor for measuring brightness on the road, a gyro sensor and an accelerometer for detecting pavement defects, and a location sensor for marking the current latitude and longitude are placed in a car, and the data obtained are transferred to a cloud database while driving on the road. After that, all data are analyzed by machine learning techniques to identify some critical failures and report on map visualization. The result demonstrates that this approach can visualize the right defect at the correct location, and it will become an important contribution to transport safety. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, - Some of the metrics are blocked by yourconsent settings
Item type:Publication, MeddyCall: A Prototype of Smart Household-Drug Vending Machines for Residential Buildings(2018-11-01)Household drugs or home medicines are normally nonprescription drugs that every family should prepare for relieving sickness. However, as our survey, many small households having 1-3 members in apartments or dormitories do not have a well preparation of necessary household drugs, and the worse is that some drugs have been expired. To this end, this work proposes an approach to the development of a nonprescription-drug vending machine in a residential building for serving home medicine to all residents in the building. We also introduce a smart way to order and get drugs using the inter operability of an application, a vending machine, and a server. The implemented prototype demonstrates that our approach is possible and feasible to serve a better service for accessing home medicines. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Street Surface Quality Assessment and Visualization using Gyro Sensor(2018-08-21); Street maintenance is one of important tasks for transportation safety. An inclusive report is required for demonstrating the quality of street surface in order to have a precise plan for repairing any defects on street at the right locations. Most observations from any government agencies are usually done by human, however reports about street surface are not well-appointed enough due to the limitation of human cognition and documentation. This paper addresses the according issue by using computation process that uses the power of the Internet of Things (IoT) to analyze the movement of gyro data with locations and time along driving routes, and then generates a visualization report to point out any broken street surface. It has been found that the analysis of gyro data using linear regression could enable street surface quality assessment and visualization for improving road safety. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, The analysis of a microwave sensor signal for detecting a kick gesture(2018-08-13); A hands-free operation is a solution for people who require a hand to do an action but both right and left hands are busy carrying something. There are many techniques, and most of them use sensors to check a command from humans such as voice and movement. A kick gesture is one technique that people can kick into the air to invoke an operation of a target device such as a kick-activation liftgate of a car. In this paper, we use a microwave sensor to detect the movement of a human's foot and employ machine learning techniques to analyses the sensor data. It has found that the Logistic Regression technique provides the best accuracy, and the model can be simply programmed in an embedded system. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Presenting and Preserving the Change in Taxonomic Knowledge for Linked Data (Extended Abstract)(2018-04-23); - Some of the metrics are blocked by yourconsent settings
Item type:Publication, A study of term frequency toward the ability to read an rdf-based node-link diagram visualization(2018-07-02)This paper aims to study the role the term frequency for rearranging triples in an RDF graph diagram from common information to topic-specific information and to evaluate the previous project, RDF4U. Since the analysis cannot be done directly against RDF data due to the lacking of supervised dataset, the text analysis on well-structured articles having well-defined sections about background content and main content is adopted in this study. The result of the experiment demonstrates the feasibility to rearrange triples for different levels of information. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, A Hybrid Method for Predicting a Potential Next Rest Stop of Commercial Vehicles(2018-01-01);