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Market Maturity Matters: Analyzing the Performance Impact of Listing Duration

Market Maturity Matters: Analyzing the Performance Impact of Listing Duration

Abstract

Given the fact that the equity market contributes a significant amount to Thai economy and increasing participants and interest by Thai companies, these facts inspire and motivate us to establish a study to analyze whether the stock market can indeed be an active booster of company performances and characteristics of companies which will be beneficial from being in the stock market. These results can support higher listing interest from companies, provide actionable ideas to companies aiming to improve their performance in the competitive arena, and suggest improvements for the stock market to further establish a stronger capital market penetration and foundation in Thailand. The main hypothesis driving this project is to examine whether “aging in the market” contributes to measurable improvements in a company’s performance. Specifically, we seek to understand if the presence of Thai companies in the Stock Exchange of Thailand correlates with enhanced operational outcomes, thereby providing insights into the true benefits of public listing on long-term performance.

Objective

Given the fact that the equity market contributes a significant amount to Thai economy and increasing participants and interest by Thai companies, these facts inspire and motivate us to establish a study to analyze whether the stock market can indeed be an active booster of company performances and characteristics of companies which will be beneficial from being in the stock market. These results can support higher listing interest from companies, provide actionable ideas to companies aiming to improve their performance in the competitive arena, and suggest improvements for the stock market to further establish a stronger capital market penetration and foundation in Thailand.

Other Innovations

Sustainable Water Hyacinth Disposal electric smart boat Innovation

วิทยาลัยการจัดการนวัตกรรมและอุตสาหกรรม

Sustainable Water Hyacinth Disposal electric smart boat Innovation

The Water Hyacinth Removal Electric Smart Boat is a small, streamlined boat capable of working in any area. Even small areas with a lot of water hyacinth volumes with advanced technology that the researcher has created and designed. The structure of the boat is made of aluminum material, is 4.80 meters long and 1.20 meters wide, and is powered by a diesel engine 14 hp. Reinforcing drive in tandem with spinning, chopping weeds and the ability to remove water hyacinths by spinning 3-5 per day with only one operator on boat. Therefore, the control and removal of water hyacinths by smart boat works better than conventional mechanization. It can work quickly and at a low cost. This water hyacinth removal electric smart boat concept will be built on the original system.

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Vision-Based Spacecraft Pose Estimation

วิทยาลัยอุตสาหกรรมการบินนานาชาติ

Vision-Based Spacecraft Pose Estimation

The capture of a target spacecraft by a chaser is an on-orbit docking operation that requires an accurate, reliable, and robust object recognition algorithm. Vision-based guided spacecraft relative motion during close-proximity maneuvers has been consecutively applied using dynamic modeling as a spacecraft on-orbit service system. This research constructs a vision-based pose estimation model that performs image processing via a deep convolutional neural network. The pose estimation model was constructed by repurposing a modified pretrained GoogLeNet model with the available Unreal Engine 4 rendered dataset of the Soyuz spacecraft. In the implementation, the convolutional neural network learns from the data samples to create correlations between the images and the spacecraft’s six degrees-of-freedom parameters. The experiment has compared an exponential-based loss function and a weighted Euclidean-based loss function. Using the weighted Euclidean-based loss function, the implemented pose estimation model achieved moderately high performance with a position accuracy of 92.53 percent and an error of 1.2 m. The in-attitude prediction accuracy can reach 87.93 percent, and the errors in the three Euler angles do not exceed 7.6 degrees. This research can contribute to spacecraft detection and tracking problems. Although the finished vision-based model is specific to the environment of synthetic dataset, the model could be trained further to address actual docking operations in the future.

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Innovation in commercial vertical set of golden apple snails  as environmentally friendly using an aquaponics system

คณะเทคโนโลยีการเกษตร

Innovation in commercial vertical set of golden apple snails as environmentally friendly using an aquaponics system

The innovation of the vertical aquaponics system for rearing golden apple snails integrating with vegetable cultivation by using substrates to water treatment. The system aims to maximize the use of vertical space, save water, and produce safe vegetables for consumption or commercial purposes, and to support living things. The golden apple snail excretes wastes/leftover food scraps that are filtered on the substrates used for water treatment. Meanwhile, natural bacteria help change these wastes into nutrients that plants can use. Therefore, the system is environmentally friendly.

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