Digital Commons Network^™

พลังงานชีวภาพและสารเคมีชีวภาพของไทย : โอกาสและความท้าทายสู่เป้าหมายการพัฒนาที่ยั่งยืน, ชวลิต งามจรัสศรีวิชัย, สาธิต อยู่สถิตย์

Thai Environment

No abstract provided.

การลดการสูญเสียความร้อนจากผนังเตาหม้อไอน้ำด้วยการหุ้มฉนวนในโรงงานอุตสาหกรรมปาล์มน้ำมัน, ภาคิน ศะศิประภา

Thai Environment

No abstract provided.

ฉากทัศน์สถานการณ์การเพิ่มจำนวนยานยนต์ไฟฟ้า เมืองนครราชสีมา เพื่อการลดก๊าซเรือนกระจกเปรียบเทียบผลการตอบแทนทางสังคม, สฤษดิ์ ติยะวงศ์สุวรรณ

Thai Environment

No abstract provided.

ความท้าทายและแนวทางเฝ้าระวังมลสารไมโครพลาสติกในน้ำทิ้งจากการซักผ้า, พัชชาพันธ์ รัตนพันธ์, อาทิตย์ เพ็ชร์รักษ์, เจนยุกต์ โล่ห์วัชรินทร์, สุทธิรัตน์ กิตติพงษ์วิเศษ, จงรักษ์ ผลประเสริฐ

Thai Environment

No abstract provided.

การผลิตพลาสติกชีวภาพ การใช้ประโยชน์ และผลกระทบต่อสิ่งแวดล้อม, ธนวรรณ ตรีพัฒนพงศ์

Thai Environment

No abstract provided.

ความเข้าใจผิดเกี่ยวกับการใช้เครื่องฟอกอากาศแบบเคลื่อนย้ายได้สำหรับลดความเข้มข้นฝุ่นละอองขนาดเล็กภายในห้อง, มณีรัตน์ องค์วรรณดี

Thai Environment

No abstract provided.

การจัดการของเสียในโรงเรียนสู่จังหวัดสะอาด, มงคลชัย อัศวดิษฐเลิศ, จุฬาลักษณ์ ชาญกูล, ภัทรมาศ เทียมเงิน, ปิติพร มโนคุ้น

Thai Environment

No abstract provided.

พื้นผิวภายในอาคาร : เหตุใดจึงสำคัญต่อคุณภาพอากาศภายในอาคาร, มณีรัตน์ องค์วรรณดี, ทับทิม ชาติสุวรรณ์

Thai Environment

No abstract provided.

การประยุกต์ใช้เทคโนโลยีการวิเคราะห์ภาพในการคัดแยกประเภทขยะที่รั่วไหลสู่แม่น้ำในรูปแบบเรียลไทม์, มงคลชัย อัศวดิษฐเลิศ, คมสูรย์ สมประสงค์, พนาสนฑ์ มโนรส, ณัฐภัทร การะเกษ

Thai Environment

No abstract provided.

การระบายอากาศภายในห้องชุดพักอาศัยของคนทำงานที่บ้าน (Work From Home) ในเขตกรุงเทพมหานคร, กิตติวุฒิ เฉลยถ้อย, ธัญธร ค้ำไพโรจน์, ธนเดช ศรีคราม, Masayuki Ichinose

Thai Environment

No abstract provided.

การเคลื่อนที่ของมวลอากาศแบบวิถีย้อนกลับที่ส่งผลต่อความเข้มข้นของฝุ่นละอองขนาดไม่เกิน 2.5 ไมครอน (Pm2.5) ในจังหวัดเชียงราย (Backward-Trajectory Analysis Of Air Mass Movement That Affected On Concentration Of Pm2.5 In Chiang Rai, Thailand), ภาคภูมิ ป่าหลวง

Thai Environment

No abstract provided.

จากอดีต ปัจจุบัน สู่อนาคตของนักท่องเที่ยวญี่ปุ่นกับการท่องเที่ยวประเทศไทย, ณัฏฐ์ ลีละวัฒน์, อำพัน เหล่าสุนทร, กำพล แสงทับทิม, กชกร ครุฑพงษ์, ศันสนีย์ สภาพไทย, ปิยพร โสเจยยะ, นรินทร์ กิตติวัฒนากูล, Alfan Kurnia, Jing Tang, Akira Kodaka, Yasushi Onda, Bernadette Joy, Naokiho Kohtake

Thai Environment

No abstract provided.

ประเด็นความยั่งยืนในอุตสาหกรรมเครื่องสำอางและผลิตภัณฑ์ดูแลส่วนบุคคล, ธวัลหทัย สุภาสมบูรณ์

Thai Environment

No abstract provided.

บทความ : ทบทวนบทบาทของอาคารในการส่งเสริมสุขภาพของผู้อยู่ในอาคาร – ปัจจัยด้านการระบายอากาศ (Rethinking The Role Of Building In Promoting Occupants’ Health : In A View Of Ventilation), มณีรัตน์ องค์วรรณดี

Thai Environment

No abstract provided.

เทคโนโลยีทางเลือกที่เหมาะสมสำหรับการจัดการการปนเปื้อนฟลูออไรด์ในแหล่งน้ำสำหรับอุปโภค-บริโภคในพื้นที่ราบสูงชนบทของประเทศไทย, ศิริรัตน์ สังขรักษ์, เพ็ญรดี จันทร์ภิวัฒน์, สุทธิรัตน์ กิตติพงษ์วิเศษ, ธรรมณิษฐ์พล เด่นเพชรกุล, อาทิตย์ เพ็ชร์รักษ์

Thai Environment

No abstract provided.

ฝุ่นละอองขนาดเล็กไม่เกิน 2.5 ไมครอน (Pm 2.5) ในอาคารและสถานศึกษา, ศิลาลักษณ์ โกรฟ, รักจิต กัลยาณะธรรม, สุทธิรัตน์ กิตติพงษ์วิเศษ, ณัฏฐา ฐานีพานิชสกุล

Thai Environment

No abstract provided.

(R2165) Two Different Stages With Two Distinct Harvesting Processes, S. Vijaya, Krishika M

Applications and Applied Mathematics: An International Journal (AAM)

This study extends the classical Lotka-Volterra prey-predator model by incorporating a stage structured prey population consisting of juvenile and adult stages, while considering a single predator species governed by a Holling type II functional response. The growth of the juvenile prey depends on the adult prey population and since the juvenile prey has no reproduction capability. Two distinct harvesting strategies are introduced in the model. Constant-yield harvesting is applied to the juvenile stage of the prey population and represents a fixed amount of harvest regardless of population size. Constant effort harvesting is applied to the adult stage of the prey …

Metarag: Identifying Website Owner Using Meta-Path-Guided Dynamic Graph Retrieval-Augmented Generation, Cheng Tu, Yunshan Ma, Bingyang Guo, Qianyu Li, Yang Li, Min Zhang, Fan Shi, Xiang Wang

Research Collection School Of Computing and Information Systems

Website owner identification aims to link websites to their real-world owners, which is crucial for credibility assessment and information provenance in information retrieval and vital for applications in cybersecurity, Internet governance, and digital regulation. Existing approaches for website owner identification primarily rely on querying infrastructure registration records or analyzing webpage content. However, these methods often fail due to incomplete or outdated registration records and sparse webpage content. We observe that inter-website relationships, derived from shared infrastructure data such as primary domains, IP blocks, and geolocations, can provide valuable but underutilized ownership cues. To exploit this insight, we propose MetaRAG, a …

Artificial Intelligence And Translation: Exploring Current Applications, Limitations And Future Potential Of Language Models Through Japanese-English Translation, Loklin Elias Nord

Undergraduate Theses, Capstones, and Recitals

This thesis highlights the recent improvements and capabilities of Large Language Models (LLMs), specifically their ability to produce translations between different languages. The continued up-scaling of model sizes has led to breakthroughs in the level of their observed intelligence, allowing them to produce translations that are similar in quality to highly skilled human translators. However, to facilitate the reasoning processes that LLMs now possess, their demand for computational power and the supporting hardware and resources has increased proportionally. Considering the impacts of this technology on the environment, energy resources, and its accessibility, my research explores the possibilities of smaller, highly …

Ai Failures In The Eyes Of The Downstream Developer: A First Look At Concerns, Practices, And Challenges, Haoyu Gao, Mansooreh Zahedi, Wenxin Jiang, Hong Yi Lin, James C. Davis, Christoph Treude

Research Collection School Of Computing and Information Systems

With the advancement of AI models, more software systems are adopting AI as a component to facilitate automation. Pre-trained models (PTMs) have become a cornerstone of AI-based software, allowing for rapid integration and development with lower training cost. However, their adoption also introduces failure modes such as data leakage and biased outputs, that may require careful handling by downstream developers. While previous research has proposed taxonomies of these technical concerns and various mitigation strategies, how downstream developers address these issues during the development of general AI-based software when reusing PTMs remains unexplored. Understanding downstream developers’ perspectives is essential because they …

Bridging The Gap Between Career Expectations Versus Labor Market Realities, Reinette P. Madrid, Grethel T. Ledesma, Ignatius Aryono Putranto, Jyro B. Triviño

Leadership and Strategy Faculty Publications

Most students lack awareness regarding the labor market outcomes for their chosen college majors. This study aims to answer what factors affect the career expectations of graduating students at Quezon City University and how these expectations align with the prevailing labor market situation. It employed descriptive, causal, and explanatory research using a sample of 108 respondents from fourth-year information technology students for the school year 2021 to 2022. Eight of the nine null hypotheses were rejected by employing multinomial logistic and linear regression. Student fixed effects and other labor market outcomes significantly predicted salary, estimated stability, and estimated skills in …

An Assessment Of Carbon Dioxide Removal Potential From Stormwater Ponds Using Concrete-Based Materials, Yu-Hsuan Tai

Theses and Dissertations (Comprehensive)

Stormwater ponds (SWPs) are engineered stormwater infrastructure known to be major greenhouse gas (GHG) emitters, including carbon dioxide (CO₂). Concrete-based materials have great potential to capture CO₂ as carbonate minerals (CaCO₃), through aqueous carbonation, driven by their alkaline nature and high portlandite (Ca(OH)₂) content. However, the mechanistic understanding of how specific parameters including mass, surface area, and degradation of calcium silicate hydrate (C-S-H) phases collectively control carbonation kinetics and CO₂ uptake under dynamically evolving conditions remains underexplored. Laboratory-scale experiments were conducted to evaluate the effects of cement dosage, particle surface area, and …

Logupdater: Automated Detection And Repair Of Specific Defects In Logging Statements, Renyi Zhong, Yichen Li, Jinxi Kuang, Wenwei Gu, Yintong Huo, R. Michael Lyu

Research Collection School Of Computing and Information Systems

Developers write logging statements to monitor software runtime behaviors and system state. However, poorly constructed or misleading log messages can inadvertently obfuscate actual program execution patterns, thereby impeding effective software maintenance. Existing research on analyzing issues within logging statements is limited, primarily focusing on detecting a singular type of defect and relying on manual intervention for fixes rather than automated solutions.To address the limitation, we initiate a systematic study that pinpoints four specific types of defects in logging statements (i.e., statement code inconsistency, static dynamic inconsistency, temporal relation inconsistency, and readability issues) through the analysis of real-world log-centric changes. We …

Enhancing Shipboard Safety Management Under The Ism Code: An Innovative Risk Assessment Framework With A Stern Tube Case Study, Pi-Yen Lin

Journal of Marine Science and Technology–Taiwan

The shipboard safety management system (SMS) is designed to enhance safe operations, risk management, and emergency response to improve overall ship safety and efficiency. This paper demonstrates the use of an engine room simulator (ERS) for collecting failure modes and applies it to a comprehensive failure analysis of the stern tube lubricating oil system. A new risk closeness coefficient method was developed, integrating expert background knowledge and weighted risk assessments. The analysis, based on multiple expert evaluations, covered five subsystems, eight main components, 23 failure modes, and 112 failure causes. This study presents 26 recommendations for maritime practitioners and onboard …

Port And Vessel Communication Traffic Intrusion Detection: A Variational Autoencoder‑Enhanced Multilayer Perceptron Approach, Chien-Lin Chiang, Hsien-Cheng Chou, Ming-Yuan Peng, Yi-Yuan Chiang, Yu-Shun Liu

Journal of Marine Science and Technology–Taiwan

Port and vessel networks increasingly operate on IP/Ethernet backbones with high‑noise, high‑dimensional traffic. We present a lightweight hybrid intrusion‑detection model that couples a variational autoencoder (VAE) with a multilayer perceptron (MLP) and augments training with a boundary‑oriented latent‑space mixup strategy. The VAE models the distribution of normal traffic and identifies anomalies through reconstruction errors. Subsequently, it generates robust latent vectors, enabling the MLP to perform highly accurate supervised classification. On the UNSW‑NB15 dataset, the proposed pipeline attains ≥97% accuracy and an outstanding recall of 99.56% in binary intrusion detection, and visualization of the latent space (PCA) together with reconstruction‑error analyses …

Sar Ship Detection Based On Shallow Feature Guidance, Chenxu Xia, Peng Chen, Ya Zhang, Ying Li

Journal of Marine Science and Technology–Taiwan

Maritime ship detection is of great significance for both military security and civilian applications. Synthetic Aperture Radar (SAR), with its all-weather and all-day imaging capability, plays a vital role in maritime surveillance. Nevertheless, SAR ship targets typically appear small in scale, embedded in complex backgrounds, blurred at boundaries, and easily confused with near-shore features, which pose substantial challenges for accurate detection. To address these issues, we propose a SAR ship detection network that integrates dual enhancements of small-object representation and edge information. The network introduces two key components: the Small Target Refine Pyramid (STRP) to strengthen shallow feature representation for …

Enhancing Agricultural Sustainability Under Climate Change: A Multi-Scale Framework Integrating Climate Extremes, Resource Efficiency, And Data-Driven Modeling, Shahryar Fazli

Computational and Data Sciences (PhD) Dissertations

Agricultural systems are increasingly challenged by climate variability, where shifting temperature regimes, hydrological variability, and the rising frequency of compound and cascading extremes threaten global food security and resource sustainability. Addressing these challenges requires integrated frameworks that bridge biophysical monitoring, predictive modeling, and adaptive decision-making. This dissertation develops a data-driven, multi-scale framework to quantify and enhance agricultural resilience by integrating remote sensing, climate analytics, and machine learning across the United States, with a focus on California and the Western U.S.

First, hyperspectral and thermal remote sensing data from EMIT and OpenET are integrated to characterize crop nitrogen–water interactions and assess …

Long Range Battery-Free Wireless Power Transfer Testbed For Underground Mines Iot And Lpwan Devices, Anabi Hilary Kelechi, Samuel Frimpong, Sanjay Madria

Mining Engineering Faculty Research & Creative Works

Underground mines are susceptible to occasional roof falls and cave-ins, temporarily destroying the existing wireless communications and telemetry infrastructure. During this temporary outage, intermittent provision of electrical energy wirelessly to the already deployed low-power wireless area networks (LPWAN) and Internet of Things (IoT) devices assumes a fundamental requirement. In this article, we propose and design a long-range far-field radio frequency (RF) wireless power transfer (WPT) testbed to power LPWAN and IoT devices at 35 m in an underground mines facility. Class AB external power amplifier (PA) was introduced to achieve a long-distance RF WPT, in the 880 MHz band. Thus, …

Smart Medical System Integrating Clinical Workflows For Robust Skin Cancer Detection Across Heterogeneous Pathologies, Ahed Abugabah, Prashant Kumar Shukla, Suchi Mishra, Abhishek Dwivedi

All Works

Skin cancer is among the most prevalent and life-threatening dermatological diseases worldwide, with melanoma responsible for a substantial proportion of skin cancer–related deaths due to delayed and unreliable diagnosis. Conventional clinical screening based on visual inspection and expert interpretation is inherently subjective and often affected by inter-observer variability, lesion heterogeneity, and imaging artifacts, highlighting the need for accurate and generalizable automated diagnostic systems. This study proposes a novel hybrid deep learning architecture for skin cancer classification that integrates an attention-guided autoencoder with a transformer-inspired global context modeling module, forming a unified and robust representation learning framework. The encoder–decoder structure is …

A Deep Learning Ensemble Framework For Multi-Subtype Renal Tumor Classification Using Contrast-Enhanced Ct, Hisham Abdeltawab, Ahmed Alksas, Mohamed Ghazal, Ashraf Khalil, Norah Saleh Alghamdi, Rasha T. Abouelkheir, Ahmed Elmahdy, Mohamed Abou El-Ghar, Sohail Contractor, Ayman El–Baz

All Works

Renal cell carcinoma (RCC) is considered the most aggressive and common form of renal cancer. Therefore, early detection is crucial to ensure appropriate and effective treatment planning. In our study, we propose a novel computer-aided diagnostic (CAD) approach which incorporates a deep learning ensemble to differentiate between five renal tumor subtypes, utilising the modality of contrast-enhanced computed tomography (CE-CT). The addressed renal lesions are malignant tumors (chromophobe RCC (chRCC), papillary RCC (pRCC), and clear cell RCC (ccRCC)) and benign tumors (renal oncocytoma (RO) and angiomyolipoma (AML)). Our study includes 280 patients who underwent renal biopsy, 112 patients were diagnosed with …