Title: Improving digestive organ classification from wireless capsule endoscopy images using deep learning Authors: Supakorn Taweechainaruemitr; Padipon Thongjumruin; Nuttiwut Ektarawong; Kawee Numpacharoen; Amporn Atsawarungruangkit Abstract: The location of a lesion is crucial information that Gastroenterologists must report using capsule endoscopy images. There have not been many studies that employ deep learning to automatically classify the location of the gastrointestinal tract. In this work, we created a deep learning model for identifying the organs of the gastrointestinal system (esophagus, stomach, small bowel and colon) using images from capsule endoscopy. The capsule endoscopies train set (670,051 images), validation set (411,702 images), and test [...]

Title: 2D environment mapping and self-position estimation with ultrasonic range sensor array Authors: Kompich Sophat; Patikorn Kliangsanmuang; Warakon Santang Abstract: Currently, modern robots use information from a Light Detection and Ranging (LiDAR) module sensor to build a map of the surrounding environment and simultaneously determine its location within the map. The map information is crucial for many tasks, such as path planning and obstacle avoidance. However, the LiDAR Module is expensive compared to other distance sensors, such as ultrasonic sensors. Therefore, this project will use low-cost ultrasonic sensors installed on the two-wheel-drive education-grade robot to build map. Then, the odometer data [...]

Title: Vacant parking slots detection using deep learning Authors: Pariwat Rattanaprarom; Worawit Naknawa; Kanchanit Photisuwan Abstract: Using sensors to detect the status of a parking space requires a large budget to install sensors in the parking space. Most of the parking spaces in densely populated areas have CCTVs for security reasons. The CCTV system can be further developed to detect the number of available parking slots and the location of vacant spaces. Our objective is to create a deep learning model for parking lot occupancy detection. This research used image datasets from PKLot and CNRPark. The data were divided into 2 [...]

Title: Autonomous simulated vehicles for steering angle prediction Authors: Supavit Jaraspornsrivong; Kantivit Suwattnamala Abstract: At present, vehicles have many advantages for transporting people to communicate and travel to other places. However, many statistical reports represent over 80% of accidents mostly occur from human error. In addition, the increasing cases of accidents were found from the missing control of the steering wheel. Therefore, this research will develop a new system to reduce human error to decrease the accident case from transporting by suggesting a suitable steering angle. This research proposes a new convolutional neural network (CNN) model for predicting the efficient steering [...]

Title: Thai music mood analysis Authors: Natdanai Veerathavorn; Paris Aungkanapanich Abstract: The emotion or mood of music affects the listener in various ways. Nowadays people listen to music on streaming services like Spotify. On streaming services, a playlist is a selection of similar songs customized based on listener preferences. Often, those playlist’s names contain words or phrases that express the emotion of music. In this work, we collected 200 songs from 10 different playlists created by Spotify. It is worth noting that these playlists' names convey a variety of emotions such as sad, crying, discourage, feeling love, tired, missed, chill-out etc, [...]

คณะวิทยาศาสตร์ ขอเชิญ คณาจารย์ บุคลากร นิสิตมหาวิทยาลัยศรีนครินทรวิโรฒ เข้าร่วม “ โครงการบริการวิชาการเป็นครั้งคราว คณะวิทยาศาสตร์ มหาวิทยาลัยศรีนคริน...

Title: Autonomous simulated vehicles for steering angle prediction Authors: Supavit Jaraspornsrivong; Kantivit Suwattnamala Abstract: At present, vehicles have many advantages for transporting people to communicate and travel to other places. However, many statistical reports represent over 80% of accidents mostly occur from human error. In addition, the increasing cases of accidents were found from the missing control of the steering wheel. Therefore, this research will develop a new system to reduce human error to decrease the accident case from transporting by suggesting a suitable steering angle. This research proposes a new convolutional neural network (CNN) model for predicting the efficient steering [...]

Title: Vacant parking slots detection using deep learning Authors: Pariwat Rattanaprarom; Worawit Naknawa; Kanchanit Photisuwan Abstract: Using sensors to detect the status of a parking space requires a large budget to install sensors in the parking space. Most of the parking spaces in densely populated areas have CCTVs for security reasons. The CCTV system can be further developed to detect the number of available parking slots and the location of vacant spaces. Our objective is to create a deep learning model for parking lot occupancy detection. This research used image datasets from PKLot and CNRPark. The data were divided into 2 [...]

Title: 2D environment mapping and self-position estimation with ultrasonic range sensor array Authors: Kompich Sophat; Patikorn Kliangsanmuang; Warakon Santang Abstract: Currently, modern robots use information from a Light Detection and Ranging (LiDAR) module sensor to build a map of the surrounding environment and simultaneously determine its location within the map. The map information is crucial for many tasks, such as path planning and obstacle avoidance. However, the LiDAR Module is expensive compared to other distance sensors, such as ultrasonic sensors. Therefore, this project will use low-cost ultrasonic sensors installed on the two-wheel-drive education-grade robot to build map. Then, the odometer data [...]

Title: Thai music mood analysis Authors: Natdanai Veerathavorn; Paris Aungkanapanich Abstract: The emotion or mood of music affects the listener in various ways. Nowadays people listen to music on streaming services like Spotify. On streaming services, a playlist is a selection of similar songs customized based on listener preferences. Often, those playlist’s names contain words or phrases that express the emotion of music. In this work, we collected 200 songs from 10 different playlists created by Spotify. It is worth noting that these playlists' names convey a variety of emotions such as sad, crying, discourage, feeling love, tired, missed, chill-out etc, [...]