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International Conference on Mobile Ad-hoc and Sensor Networks

作者： Yu, Kun-Ming Liou, Jian-Yuan Yeh, Bo-Han Yu, Chang Wu Tien, Ching-Cheng Wang, Chih-Hu Wang, Ping-Yu Department of Computer Science and Information Engineering Chung Hua University Taiwan Ph.D. Program of Technology Management Chung Hua University Taiwan Department of Electrical Engineering Chung Hua University Taiwan

ISBN: (纸本)9780769543154

The paper employed some independently developed sensors based on the Octopus X platform to build a Zigbee-based Sensor Networks. Also, we implemented a Location-aware living environment by deploying the developed Zigee-based sensor. Besides, through the created window console interface, the sensed data can be transmitted and transformed to the database for further utilized. Moreover, by the devised Web interface, the update request data can be observed efficiently and responded effectively to any situations. © 2010 IEEE.

关键词： Zigbee

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Laboratory study of the effects of moisture content on heat transfer and combustion efficiency of three biomass cook stoves

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Energy for Sustainable development 2008年第2期12卷 66-77页

作者： Yuntenwi, Ernestine A.T. MacCarty, Nordica Still, dean Ertel, Jürgen Environmental and Resource Management Ph.D. Program Department of Industrial Sustainability Brandenburg University of Technology Cottbus Postfach 101344 03013 Cottbus Germany Aprovecho Research Center - Advanced Studies in Appropriate Technology Laboratory 79093 Highway 99 Cottage Grove OR United States Department of Industrial Sustainability Brandenburg University of Technology Cottbus Postfach 101344 03013 Cottbus Germany

The effect of wood moisture content on the performance and emissions of biomass-fired stoves was assessed using the laboratory-based water boiling test. This test yielded a number of performance indicators (time to boil water, specific fuel consumption and energy efficiency) when the stove was operated at both high and low power. When combined with emission measurements, combustion efficiency was investigated as well. This paper presents an integrated efficiency evaluation of the traditional open fire, an Aprovecho rocket stove from China and a "skirt" stove which were all tested each at 5%, 15% and 30% moisture content (wet basis) of wood. Results showed that an increase in moisture content increased efficiency up to a point. Extremely dry or over-wet fuel inhibited combustion efficiency. Overall, the type of stove exhibited a stronger effect on the total emissions than did the moisture level in the fuel. © 2008 International Energy Initiative, Inc.

关键词： Moisture

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A method to generate flood maps in 3d using dem and deep learning

A method to generate flood maps in 3D using dem and deep lea...

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American Society for photogrammetry and Remote Sensing, ASPRS 2020 Annual Conference

作者： Gebrehiwot, Asmamaw Hashemi-Beni, Leila Applied Science and Technology Ph.D. Program Department of Built Environment North Carolina A&T State University United States Geomatics Program Department of Built Environment North Carolina A&T State University United States

High-resolution remote sensing imagery has been increasingly used for flood applications. different methods have been proposed for flood extent mapping from creating water index to image classification from high-resolution data. Among these methods, deep learning methods have shown promising results for flood extent extraction;however, these two-dimensional (2d) image classification methods cannot directly provide water level measurements. This paper presents an integrated approach to extract the flood extent in three-dimensional (3d) from UAV data by integrating 2d deep learning-based flood map and 3d cloud point extracted from a Structure from Motion (SFM) method. We fine-tuned a pretrained Visual Geometry Group 16 (VGG-16) based fully convolutional model to create a 2d inundation map. The 2d classified map was overlaid on the SfM-based 3d point cloud to create a 3d flood map. The floodwater depth was estimated by subtracting a pre-flood digital Elevation Model (dEM) from the SfM-based dEM. The results show that the proposed method is efficient in creating a 3d flood extent map to support emergency response and recovery activates during a flood event. © 2020 International Society for photogrammetry and Remote Sensing. All rights reserved.

关键词： Remote sensing

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TELECOMMUNICATIONS ALTERNATIVES FOR dEVELOPING-COUNTRIES

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JOURNAL OF COMMUNICATION 1979年第4期29卷 125-136页

作者： RICE, RE PARKER, EB The Ph.D. program at the Institute for Communication Research at Stanford University. He is currently conducting research in telecommunications and in communication networks Professor of Communication at Stanford University. His primary research interest is in the social effects of communication technology

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The design and implementation of a mobile location-aware digital signage system

The design and implementation of a mobile location-aware dig...

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International Conference on Mobile Ad-hoc and Sensor Networks

作者： Yu, Kun-Ming Yu, Cheng-Yan Yeh, Bo-Han Hsu, Ching-Hsien Hsieh, Hung-Nien Department of Computer Science and Information Engineering Chung Hua University Taiwan Ph.D. Program of Technology Management Chung Hua University Taiwan Department of Architecture and Urban Planning Chung Hua University Taiwan

ISBN: (纸本)9780769543154

The worldwide digital Signage market has been getting increasingly popular in recent years. Nevertheless, for service providers, the digital Signage business is still not easy to manage and time-consuming to operate. In this paper, based on the GPS and wireless infrastructure, we present a mobile location-aware digital signage system (LdSS). Through the centralized system architecture, the applications for the digital Signage can be expanded to various advertising vehicles including buses and other mobile advertising vehicles. Also, we present an advertisement recommendation algorithm, by which the advertisement can be broadcasted in the right markets more effectively. Evidenced by simulated experiments and analysis, compared with traditional region trigger advertising, sequential advertising and random advertising, our advertisement recommendation algorithm can effectively reach to the key target audiences in planned regions, while show excellent ability to differentiate markets in unplanned regions reaching to the target consumer groups as well. © 2010 IEEE.

关键词： Marketing

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deep learning for remote sensing image classification for agriculture applications

Deep learning for remote sensing image classification for ag...

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American Society for photogrammetry and Remote Sensing, ASPRS 2020 Annual Conference

作者： Hashemi-Beni, Leila Gebrehiwot, Asmamaw Geomatics Program Department of Built Environment North Carolina A&T State University United States Applied Science and Technology Ph.D. Program Department of Built Environment North Carolina A&T State University United States

This research examines the ability of deep learning methods for remote sensing image classification for agriculture applications. U-net and convolutional neural networks are fine-tuned, utilized and tested for crop/weed classification. The dataset for this study includes 60 top-down images of an organic carrots field, which was collected by an autonomous vehicle and labeled by experts. FCN-8s model achieved 75.1% accuracy on detecting weeds compared to 66.72% of U-net using 60 training images. However, the U-net model performed better on detecting crops which is 60.48% compared to 47.86% of FCN-8s. © 2020 International Society for photogrammetry and Remote Sensing. All rights reserved.

关键词： Crops

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Bioeconomic potential of lignocellulosic by-products: Steam explosion-based fractionation into solid and liquid phases for fiber and methane production

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Bioresource technology 2025年 433卷

作者： Fabian Orth Benedikt Hülsemann Jayen Aris Kriswantoro Ting-Wu Ko Chen-Yeon Chu State Institute of Agricultural Engineering and Bioenergy University of Hohenheim Garbenstraße 9 70599 Stuttgart Germany Ph.D. Program of Mechanical and Aeronautical Engineering Feng Chia University Wenhua 100 407 Taichung Taiwan School of Life Sciences and Technology Institut Teknologi Bandung Ganesa 10 40132 Bandung Indonesia Institute of Green Products Feng Chia University Wenhua 100 407 Taichung Taiwan Master’s Program of Green Energy Science and Technology Feng Chia University Wenhua 100 407 Taichung Taiwan

This study examines lignocellulosic by-products from agriculture and food industry for methane production. Banana peels, cacao bean shells, rice straw, tomato plant residues, and wheat straw underwent steam explosion treatment (SE) at 160 °C and 10 min followed by solid–liquid separation. Specific methane yield increased between 8.6 % to 19.6 % for rice and wheat straw and cacao bean shells after SE treatment, while decreasing for banana peels (14.1 %). The liquid phase demonstrated high specific methane yield potential, with SMY between 227 and 336 L CH4 kg OdM −1 . Meanwhile, the fiber-rich solid phase offers potential for both energy applications and material utilization. The process supports both bioeconomic strategies and greenhouse gas reduction efforts through sustainable valorization of agricultural waste streams in circular economy models. However, further research is needed to optimize SE conditions and investigate other applications for the solid such as peat substitution.

关键词： Feedstock Biogas Separation Specific Methane Yield Treatment

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Computer-aided drug discovery of a dual-target inhibitor for ovarian cancer: therapeutic intervention targeting CdK1/TTK signaling pathway and structural insights in the NCI-60

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Computers in Biology and Medicine 2025年 193卷

作者： Sung-Ling Tang Maryam Rachmawati Sumitra Yu-Cheng Kuo Han-Lin Hsu Muhamad Ansar Sheng-Liang Huang Shih-Yu Lee Hong-Jaan Wang Bashir Lawal Alexander T.H. Wu Lung-Ching Chen Hsu-Shan Huang School of Pharmacy National Defense Medical Center Taipei 11490 Taiwan PhD Program for Cancer Molecular Biology and Drug Discovery College of Medical Science and Technology Taipei Medical University Taipei 11031 Taiwan Graduate Institute of Cancer Biology and Drug Discovery College of Medical Science and Technology Taipei Medical University Taipei 11031 Taiwan Department of Pharmacology School of Medicine College of Medicine Taipei Medical University Taipei 11031 Taiwan School of Post-Baccalaureate Chinese Medicine College of Chinese Medicine China Medical University Taichung 40604 Taiwan Graduate Institute of Clinical Medicine Taipei Medical University Taipei 11031 Taiwan Division of Pulmonary Medicine Department of Internal Medicine Wanfang Hospital Taipei Medical University Taipei 11031 Taiwan Ph.D. Program in the Clinical Drug Development of Herbal Medicine Taipei Medical University Taipei 110301 Taiwan Graduate Institute of Aerospace and Undersea Medicine National Defense Medical Center Taipei 11490 Taiwan UPMC Hillman Cancer Center University of Pittsburgh Pittsburgh PA USA Ph.D. Program of Translational Medicine College of Science and Technology Taipei Medical University Taipei 11031 Taiwan Division of Cardiology Department of Internal Medicine Shin Kong Wu Ho-Su Memorial Hospital Taipei 11101 Taiwan Ph.D. Program in Biotechnology Research and Development College of Pharmacy Taipei Medical University Taipei 11031 Taiwan

Ovarian cancer remains the third most prevalent and deadliest gynecologic malignancy worldwide, with most patients eventually developing resistance to platinum-based chemotherapy. This highlights a critical unmet need for innovative multitargeted therapies to address current treatment challenges. In this study, we identified 35 differentially expressed genes (dEGs) through integrated analysis of four GEO ovarian cancer datasets, with validation using TCGA data. Gene Ontology (GO) and KEGG enrichment analyses highlighted key tumor-associated pathways, and protein–protein interaction (PPI) network modeling prioritized CdK1 and TTK as high-value therapeutic targets. We evaluated the association between molecular genomic features and drug responses across the NCI-60 ovarian cancer cell line panel (IGROV1, OVCAR-3, OVCAR-4, OVCAR-5, OVCAR-8, NCI/AdR-RES, and SK-OV-3), using a series of salicylanilide-derived compounds and four FdA-approved drugs (cabozantinib, paclitaxel, rapamycin, and niclosamide) from the NCI developmental Therapeutics program (dTP). Among these, NSC765690 (MCC22) emerged as the most promising candidate. It demonstrated potent antiproliferative activity, high target selectivity, and strong binding affinity to both CdK1 and TTK. Multi-omics integration, combined with AI-driven network modeling, further elucidated NSC765690's mechanism of action and its relevance to ovarian cancer pathogenesis. Additionally, AdMET and pharmacokinetic profiling confirmed its favorable drug-like properties and low predicted toxicity. Collectively, these findings establish NSC765690 as a potent dual-target inhibitor and exemplify a rational, data-driven drug discovery pipeline for overcoming chemotherapy resistance in ovarian cancer.

关键词： Ovarian cancer dual-target small molecule inhibitor Molecular docking NCI-60 panel Machine learning Molecular dynamics simulations OC ovarian cancer ML machine learning NLP natural language processing dEGs differentially Expressed Genes PPI Protein-Protein Interaction GEO Gene Expression Omnibus GO Gene Ontology IPA Ingenuity Pathway Analysis TCGA The Cancer Genome Atlas KEGG Kyoto Encyclopedia of Genes and Genomes GO-BP Gene Ontology-Biological Process dTP developmental Therapeutics program NCI National Cancer Institute CC Cellular Component MF Molecular Functions IHC immunohistochemical FdR false discovery rate BBB Blood brain barrier 3d three-dimensional MdS molecular dynamics simulation analysis RMSF analysis Root Mean Square Fluctuation analysis CdKs cyclin-dependent kinases TTK threonine and tyrosine kinase CNS central nervous system OS overall survival CSC cancer stem cells AI artificial intelligence SRB sulforhodamine B assay AdMET absorption, distribution, metabolism, excretion, and toxicity HPA human protein atlas WES whole exome sequencing MdR multidrug resistance HGSOC high-grade serous ovarian cancer TKI tyrosine kinase inhibitor SAC spindle assembly checkpoint HRR homologous recombination repair HRd homologous recombination deficiency

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An integrative systems-biology approach defines mechanisms of Alzheimer’s disease neurodegeneration

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Nature Communications 2025年第1期16卷 1-21页

作者： Leventhal, Matthew J. Zanella, Camila A. Kang, Byunguk Peng, Jiajie Gritsch, david Liao, Zhixiang Bukhari, Hassan Wang, Tao Pao, Ping-Chieh danquah, Serwah Benetatos, Joseph Nehme, Ralda Farhi, Samouil Tsai, Li-Huei dong, Xianjun Scherzer, Clemens R. Feany, Mel B. Fraenkel, Ernest MIT Ph.D. Program in Computational and Systems Biology Cambridge MA United States Department of Biological Engineering Massachusetts Institute of Technology Cambridge MA United States Broad Institute of Harvard and MIT Cambridge MA United States Department of Pathology Brigham and Women’s Hospital and Harvard Medical School Boston MA United States Spatial Technology Platform Broad Institute of Harvard and MIT Cambridge MA United States Precision Neurology Program Brigham and Women’s Hospital and Harvard Medical school Boston MA United States APDA Center for Advanced Parkinson’s Disease Research Brigham and Women’s Hospital and Harvard Medical School Boston MA United States Picower Institute for Learning and Memory Massachusetts Institute of Technology Cambridge MA United States Department of Brain and Cognitive Sciences Massachusetts Institute of Technology Cambridge MA United States Stanley Center for Psychiatric Research Broad Institute of Harvard and MIT Cambridge MA United States School of Computer Science Northwestern Polytechnical University Xi’an China Stephen and Denise Adams Center of Yale School of Medicine New Haven CT United States

despite years of intense investigation, the mechanisms underlying neuronal death in Alzheimer’s disease, remain incompletely understood. To define relevant pathways, we conducted an unbiased, genome-scale forward genetic screen for age-associated neurodegeneration in drosophila. We also measured proteomics, phosphoproteomics, and metabolomics in drosophila models of Alzheimer’s disease and identified Alzheimer’s genetic variants that modify gene expression in disease-vulnerable neurons in humans. We then used a network model to integrate these data with previously published Alzheimer’s disease proteomics, lipidomics and genomics. Here, we computationally predict and experimentally confirm how HNRNPA2B1 and MEPCE enhance toxicity of the tau protein, a pathological feature of Alzheimer’s disease. Furthermore, we demonstrated that the screen hits CSNK2A1 and NOTCH1 regulate dNA damage in drosophila and human stem cell-derived neural progenitor cells. Our study identifies candidate pathways that could be targeted to ameliorate neurodegeneration in Alzheimer’s disease. © The Author(s) 2025.

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Humming-to-Instrument Conversion based on CycleGAN

Humming-to-Instrument Conversion based on CycleGAN

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2021 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2021

作者： Lai, Wen-Hsing Wang, Siou-Lin Xu, Zhi-Yao National Kaohsiung University of Science and Technology Dept. of Computer and Communication Engineering Kaohsiung Taiwan National Kaohsiung University of Science and Technology Ph.D. Program In Engineering Science and Technology College of Engineering Kaohsiung Taiwan

ISBN: (纸本)9781665419512

In this research, we propose a humming-to-instrument conversion system based on cycle-consistent adversarial networks (CycleGAN) to convert human humming to the sound of viola. This research adjusts the weight of cycle-consistency loss and identity loss to successfully convert the sound. From the experimental results of objective RMSE, the converted audio is more similar to viola compared to the similarity to humming. From the results of subjective MOS, the quality of the converted sound is fair to listeners. © 2021 IEEE.

关键词： Communication systems Signal processing

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