DSpace 8

This site is running DSpace 8. For more information, see the DSpace 8 Release Notes.

DSpace is the world leading open source repository platform that enables organisations to:

easily ingest documents, audio, video, datasets and their corresponding Dublin Core metadata
open up this content to local and global audiences, thanks to the OAI-PMH interface and Google Scholar optimizations
issue permanent urls and trustworthy identifiers, including optional integrations with handle.net and DataCite DOI

Join an international community of leading institutions using DSpace.

The test user accounts below have their password set to the name of this software in lowercase.

Demo Site Administrator = dspacedemo+admin@gmail.com
Demo Community Administrator = dspacedemo+commadmin@gmail.com
Demo Collection Administrator = dspacedemo+colladmin@gmail.com
Demo Submitter = dspacedemo+submit@gmail.com

Photo by @inspiredimages

Communities in DSpace

Select a community to browse its collections.

Now showing 1 - 1 of 1

KMITL

Recent Submissions

Item

Silanol-Rich-Nanosized Cu-MOR Zeolite for Nonoxidative Dehydrogenation of Bioethanol to Acetaldehyde

(ACS Applied Engineering Materials, 2026-5-1) Anittha Prasertsab; Chomphunuch Wansa; Watinee Nunthakitgoson; Wachira Jeevapong; Ploychanok ladrat; Tawan Sooknoi; Chularat Wattanakit

Item

Continuously Tunable Frequency and Phase Biquad Oscillator

(Electronics, 2026-5-2) Sorawat Chivapreecha; Piyapan Suwannawach

This paper presents an improvement to the performance of a biquad oscillator, which is a recursive oscillator known for its excellent long-term stability. However, a significant limitation is that the oscillation frequency cannot be changed while the system is operating. Directly changing the frequency during operation causes the amplitude of the generated signal to vary significantly, either increasing or decreasing. A zero-input response analysis is used to understand the cause of this problem and to develop a solution that allows the amplitude of the generated signal to remain constant even when the oscillation frequency is changed during operation. In addition, this paper presents a method for controlling the phase of the generated signal by using a 1st-order IIR phase shifter structure. The proposed structure is specifically designed to allow the phase of the signal at the oscillation frequency to be adjusted continuously and independently of the frequency parameter. This integrated oscillator enables real-time, independent control of both signal frequency and phase without amplitude drift, making it suitable for applications requiring precise and dynamic signal synthesis.

Item

Machine Learning-Driven Portfolio Optimization Using Money Flow Index-Based Sentiment Signals

(International Journal of Financial Studies, 2026-5-2) Prapassara Singsiri; Jiraphat Yokrattanasak

Market indices serve as a benchmark for performance comparison, guide asset allocation decisions, and reflect overall market sentiment and economic conditions, thereby influencing investment strategies by representing a segment of the market. Unquestionably, investor sentiment impacts price movement. In this paper, the objectives were to study the effectiveness of the Money Flow Index (MFI) in enhancing the performance of predictive analysis by capturing market psychology, developing an investment strategy, and analyzing the performance of the method mentioned. This study applies machine learning algorithms with technical indicators and optimizes portfolio allocation based on three notable market indices in Southeast Asia (SEA): SET50 in Thailand, STI in Singapore, and VN30 in Vietnam. Firstly, we combined technical indicators with machine learning—Support Vector Classifier (SVC), Random Forest (RF), and Extreme Gradient Boosting (XGBoost)—by comparing datasets with and without MFI over the period from 2013 to 2023. The results showed that XGBoost with MFI delivered the best predictive performance across three indices. These findings indicate that MFI significantly enhances prediction accuracy, even during volatile market conditions (COVID-19). Additionally, the predictions were integrated into the Markowitz Mean-Variance (MV) model to construct an optimal portfolio, which was then benchmarked against an equal-weight portfolio (1/N). Ultimately, the findings demonstrate that incorporating the machine learning predictions into the MV framework efficiently generates wealth.

Item

A Comparative Study of NLP-Based Models: Popularity Trends in Pop Mart Comments

(2025-12-20) Pattama Charoenporn; Kititinun Poonsawat; Anupong Banjongkan

Item

Preparation of Vegetable Waste-Derived Paper Incorporated with Activated Carbon for Delay Mango Ripening and Its Application

(Key engineering materials, 2026-5-1) Pongsert Sriprom; Phaewa Thongkham; Jurairat Taweesukyingjaroen; Apiruk Somphan; Kanjana Manamoongmongkol; Pornsawan Assawaseangrat

In this study, the vegetable waste-derived paper was developed from vegetable waste-derived fiber and Mahachanok mango seed-derived activated carbon to extend the shelf life of Golden Nam Dok Mai mangoes. Vegetable waste was subjected to alkaline processing using sodium hydroxide to extract plant-based fibers, which were then formed into paper sheets. Activated carbon, derived from Mahachanok mango seeds by carbonization at 450°C and activated by potassium permanganate (KMnO 4 ), was incorporated into the vegetable waste-derived paper to enhance ethylene adsorption efficiency. Three formulations of ripening delay paper were prepared: paper without activated carbon, paper containing 10 g of activated carbon, and paper containing 20 g of activated carbon. The physical properties of the papers were evaluated in terms of tensile strength and water drop absorption. The vegetable waste-derived paper incorporated with 20 g activated carbon showed the highest performance among the developed papers (1.20 ± 0.24 MPa and 0.74 seconds, respectively). Application tests on Golden Nam Dok Mai mangoes showed that the 10 g activated carbon formulation was the most effective in preserving flesh color, maintaining firmness, and balancing total soluble solids (TSS) and titratable acidity (TA), indicating a delayed ripening process. Therefore, ripening delay paper synthesized from vegetable fiber and supplemented with 10 g of activated carbon per 1 kg of fruit was proven to effectively prolong mango shelf life by up to 3 days, demonstrating its potential as a biodegradable solution for postharvest quality preservation.