DSpace 8

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
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  • Demo Submitter = dspacedemo+submit@gmail.com
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Recent Submissions

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HYBRID ARTIFICIAL INTELLIGENCE SCHEME FOR VERTICAL HANDOVER IN HETEROGENEOUS NETWORKS
(Srinakharinwirot University, 19/7/2024) Sunisa Kunarak; สุนิศา คุณารักษ์; Sunisa Kunarak; สุนิศา คุณารักษ์; sunisaku@swu.ac.th; sunisaku@swu.ac.th; Srinakharinwirot University
Current wireless communication requires high operational speed, along with consistent and robust connections. One crucial process is the handover, which involves the movement of users, necessitating the transfer of connections from one base station to another. This process must be continuous to prevent service interruptions or disruptions. This research presents a vertical handover process in heterogeneous networks using a hybrid artificial intelligence method. The proposed method employs a hybrid intelligence combining Double Q-Learning (DQL) and Long Short-Term Memory (LSTM), considering signal strength, data volume, and initial handover time as inputs for the vertical handover process. The results, compared to a hybrid intelligence using Q-Learning (QL) and Long Short-Term Memory (LSTM), indicate that the proposed method effectively reduces the rates of ping-pong effect and unnecessary handovers by an average of 13.86% and 10.68%, respectively.
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HYBRID ARTIFICIAL INTELLIGENCE SCHEME FOR VERTICAL HANDOVER IN HETEROGENEOUS NETWORKS
(Srinakharinwirot University, 19/7/2024) Sunisa Kunarak; สุนิศา คุณารักษ์; Sunisa Kunarak; สุนิศา คุณารักษ์; sunisaku@swu.ac.th; sunisaku@swu.ac.th; Srinakharinwirot University
Current wireless communication requires high operational speed, along with consistent and robust connections. One crucial process is the handover, which involves the movement of users, necessitating the transfer of connections from one base station to another. This process must be continuous to prevent service interruptions or disruptions. This research presents a vertical handover process in heterogeneous networks using a hybrid artificial intelligence method. The proposed method employs a hybrid intelligence combining Double Q-Learning (DQL) and Long Short-Term Memory (LSTM), considering signal strength, data volume, and initial handover time as inputs for the vertical handover process. The results, compared to a hybrid intelligence using Q-Learning (QL) and Long Short-Term Memory (LSTM), indicate that the proposed method effectively reduces the rates of ping-pong effect and unnecessary handovers by an average of 13.86% and 10.68%, respectively.
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THE PRODUCT DEVELOPMENT FROM PALMYRA PALM WITH INNOVATIVE PLASMA FOR ECO – LIFESTYLE FASHION DESIGN
(Srinakharinwirot University, 8/8/2022) Duangkhae Bootkul; ดวงแข บุตรกูล; Duangkhae Bootkul; ดวงแข บุตรกูล; duangkha@swu.ac.th; duangkha@swu.ac.th; Srinakharinwirot University
This research is based on current world circumstances, which signify awareness of the environment and environmental problems, leading to the creation of alternative and eco-friendly products. Significantly, Thailand is an agricultural country, which contains agricultural products and reusable waste materials for fashion and lifestyle products. In that regard, such eco products are produced by the application of principles of fashion design and plasma innovation. The waste materials of palm products are collected from small and micro community enterprises. There appear to be several types of agricultural waste, including unripe palmyra palm fruits, ripe palmyra palm fruits, the exocarp of palmyra palm fruits, and the leaf stalks of palmyra palms. For textile production, the fibers of fifty-percent-ripe palmyra palm fruit and cotton fibers are spined together. The percentage of the palmyra palm fruit fibers is examined from 0, 10, 20, 30, 40, 50, 60, 70, 80, 90, 100, and 40-50% of palmyra palm fruit fibers are applicable for appropriate texture and quantity, which is due to its shortness. Most of these fibers also increase the risk of skin irritations. Furthermore, palmyra palm fruit fibers are compounded with para rubber by the dyeing method and the heat press machine for creating the materials for products. Subsequently, products are designed by surveys on consumer behaviors during the COVID-19 pandemic. The findings highlighted the popularity of fashion and lifestyle products, such as Chelsea Boots, slipper shoes, slip-on shoes, messenger bags, belt bags, and shoulder bags, respectively. The identity of the palmyra palm is also included, as well as homespun materials. Additionally, the plasma-based coating in the form of water reflection is proceeded to prevent moisture, fungi, and bacteria, and to reduce chemicals. All in all, this study unveils the guideline of creating value from agricultural waste materials using plasma innovation with eco-friendly outcomes.
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HIGH-PRESSURE ASSISTED ENZYMATIC EXTRACTION OF TIGER PEANUTS PROTEIN HYDROLYSATES AND PRODUCT DEVELOPMENT OF PLANT-BASED MILK FOR GENERATION Z CONSUMERS
(Srinakharinwirot University, 17/1/2025) Pisit Dhamvithee; พิสิฏฐ์ ธรรมวิถี; Pisit Dhamvithee; พิสิฏฐ์ ธรรมวิถี; pisitd@swu.ac.th; pisitd@swu.ac.th; Srinakharinwirot University
Consumers, especially Gen Z, are increasingly interested in plant-based protein products. However, most plant proteins are imported, while tiger peanuts from Mae Hong Son Province, Thailand, offer a local alternative. This research explores Gen Z consumers' attitudes toward plant-based protein. A survey of 200 participants found that most consumers are interested in plant-based foods but concerns about nutritional content, taste, and price. The study examined the effects of processing on tiger peanuts using raw (RAW_PEA), roasted (ROS_PEA), and autoclaved (CLAV_PEA) methods. Roasting increased protein to 42.84 g/100g and reduced fat to 6.74 g/100g. However, amino acids like leucine slightly decreased (1.56% in ROS_PEA and 10.94% in CLAV_PEA). and roasting enhanced foam expansion and solubility by 91.42% and 42.03%, respectively. This improved the chemical and functional properties of ROS_PEA. Therefore, ROS_PEA was then studied for the development of a tiger peanut protein drink using high-pressure processing (HPP) at 0, 100, 200, and 300 MPa and papain enzyme (0%, 0.05%, and 0.2%). The control treatment (0% enzyme/0 MPa HPP) showed low properties, but enzyme addition and HPP increased solubility by 2.1-fold, and 0.2% enzyme with 300 MPa HPP improved foam and protein content by 47.47%. In conclusion, the treatment use of 0.2% enzyme combined with HPP at 300 MPa resulted in improved properties. In product development, a 50:50 blend of tiger peanut and soy protein received the highest preference scores. After pasteurization and storage at 4°C for two weeks, the drink maintained good quality in the first week, but microbial growth increased in the second week. In conclusion, the protein drink can be stored for up to one week and complies with FDA standards.
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DUAL-TASK PERFORMANCE IN OLDER ADULTS WITH BREAST CANCER WHO RECEIVED ENDOCRINE THERAPY
(Srinakharinwirot University, 17/1/2025) Nithinun Chaikeeree; นิธินันท์ ชัยคีรี; Nithinun Chaikeeree; นิธินันท์ ชัยคีรี; nithinun@swu.ac.th; nithinun@swu.ac.th; Srinakharinwirot University
Dual-task performance simultaneously challenges both dynamic balance and cognitive processing. Endocrine therapy has an adverse effect on cognitive function; and it would be possible that older adults with breast cancer, who received endocrine therapy had problems with dual-task performance. It this essential to examine dual-task performance directly among older adults with breast cancer. The methodology included 30 older adults in each group including those who had breast cancer with endocrine therapy (BCA-Endocrine) and not cancer (Non-CA group) who participated in the study. Their single task performance in balance during walking and cognitive function were measured with the Timed Up and Go test (TUG) and subtraction by three, starting with the range of 70-100. Their dual-task performance was measured using TUG simultaneously with the subtraction task (TUG-Cog). The TUG duration and cognitive task performance under single and dual-task conditions were used to compute the dual-task effect (DTE%) to identify the degree of dual-task effect and ability to balance while walking and on the rate of correct subtraction in a given time (Correct response rate, CRR). The results of the study were as follows: more time spent on the TUG and a decreased number of correct subtractions when performing dual-task were found in both groups. The results from the DTE% analysis were separated into walking balance and subtraction, found that the DTE% in TUG (Mean± SD) in the BCA-Endocrine (85.4± 44) was significantly higher than the Non-CA group (63.2± 32.8) (p=.03).  Whereas, DTE% in CRR in the BCA-Endocrine (-50.6± 31.7) and in the Non-CA group (-46.5± 18.2) was not more negative than in the Non-CA (p=.42)  In conclusion, older adults with breast cancer who received endocrine therapy had a larger effect of dual-tasking than older adults without cancer. The larger effect was found in balance during walking, but not in the performance in the subtraction task.