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Handwriting prediction using the support vector machine method in web-based applications

AIP Conference Proceedings 2022年第1期2659卷

作者： Syaifudin Dian Pratiwi Trubus Rahardiansyah Anasthesia Karunia Charles Hafiz Wijaya Khoirun Nisa 1Information System Study Program Faculty of Industrial Technology Universitas Trisakti Jakarta Indonesia 2Informatic Engineering Study Program Faculty of Industrial Technology Universitas Trisakti Jakarta Indonesia 3Department of Law Universitas Trisakti Jakarta Indonesia

Current technological advances have progressively encouraged individuals to use web-based applications. To determine the owner of a handwriting, one of the manual methods is generally done by people. And it can be done by a web application to find out the person’s handwriting. The Support Vector Machine (SVM) Method is a strategy of artificial intelligence used to recognize handwriting. This study intends to create a handwriting recognition framework using the Support Vector Machine (SVM) Method on a web-based application, with extraction features that are important as the basis for describing and characterizing handwritten images. The results obtained from predictions using the Support Vector Machine are by using 16 data and there are 80 tests carried out in total. The results obtained indicate that there are 25 incorrect prediction tests and 55 correct prediction tests so that the level of accuracy obtained is 68.75%.

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A novel single-wire digital handshake of communication speed for universal connector

A novel single-wire digital handshake of communication speed...

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2019 IEEE International Conference on Electrical, Control and Instrumentation engineering, ICECIE 2019

作者： Tanno, Yoshinobu Hayashi, Takafumi Graduate School of Science and Technology Niigata University Niigata950-2181 Japan Smart Intelligent System Program Faculty of Engineering Niigata University Niigata950-2181 Japan

ISBN: (纸本)9781728139395

Industrial development promotes the production of various electronics for contributing to our life. On the other hand, various electronics occur the compatibility trouble about the communication standard. Especially, the compatibility of physical connection standards such as USB or Ethernet is required without the converter of the connector. One way to solve the compatibility of physical connection is the universal connector that enables optimal communication according to the connection partner. The universal connector can be realized by single-wire handshake of pin assignment which automatically negotiates the voltage signal or the role of the pin. After the connection between the pin, all connected pin conducts the single-wire handshake for determining the pin assignment. The single-wire pin assignment handshake consists of the physical half-duplex communication that conducts transmission and reception on one connection line. The physical half-duplex communication requires the single-wire handshake of the communication speed because the multi-pin cannot use for the communication. In addition, the communication speed cannot determine in advance because the connection partner is assumed various for the compatibility. In this paper, we propose the single-wire handshake which automatically adjusts the communication speeds for the universal connector. Moreover, the feasibility of our method is evaluated by the analysis result of the voltage signal between electronics. © 2019 IEEE.

关键词： Wire

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Determination of Mung Bean Seed Viability Change in Vacuum Packaging during Storage in Different Temperatures 1

Determination of Mung Bean Seed Viability Change in Vacuum P...

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1st International Conference on Mechanical Electronic and Biosystem engineering, MEBSE 2018

作者： Faisal, M. Ahmad, U. Wulandani, D. Postharvest Technology Master Course Program Graduate School Bogor Agricultural University Indonesia Dept. of Mechanical and Bio-system Engineering IPB Bogor Agricultural University Indonesia

Mung bean seeds decreased their viability very fast during storage, especially in tropical area without proper packaging. The purpose of this study is to observethe decrease in viability of mung bean seeds during storage and to build a mathematical model for shelf life prediction. Dried mung bean seeds were vacuum packed and stored in Accelerated Shelf-life Testing chamber at five different temperatures of 30° C, 35° C, 40° C, 45° C, 50° C with approximately 80% in relative humidity, to facilitate rapid deterioration with different rate of physical and chemical change in the seed. The results show that there was an increase in moisture content and the germination decreased in different rates. Changes in values for some parametersof the seeds affected the viabilty of the seeds during rapid deterioration. The value of constant (k)for viability decreasing was calculated and used to build the mathematical model for predicting the shelf life of mung bean seeds during storage at any temperature. Using the developed model, it was observed that the shelf life of the Sriti variety of mung bean seeds in vacuum packaging could maintain 90% of germination level for 421 days or 14.3 months if stored at 20 °C, and for 173.37 days or 5.78 months if stored at 25 °C. © Published under licence by IOP Publishing Ltd.

关键词： Deterioration

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Effect of matrix-forming agent ratios on drug release, water sorption and erosion behaviors of shellac wax-poloxamer matrix tablet

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Materials Today: Proceedings 2022年 52卷 2439-2443页

作者： Pornsit Chaiya Thawatchai Phaechamud School of Pharmacy Walailak University 222 Thai buri Tha Sala Nakhon Si Thammarat 80160 Thailand Program of Pharmaceutical Engineering Department of Pharmaceutical Technology Faculty of Pharmacy Silpakorn University Sanam Chandra Palace Campus. No. 6 Rajamankha-Nai Road Phrapathom Chedi Muang Nakorn Pathom 73000 Thailand Natural Bioactive and Material for Health Promotion and Drug Delivery System Group (NBM) Faculty of Pharmacy Silpakorn University No.6 Rajamankha-Nai Road Phrapathom Chedi Muang Nakorn Pathom 73000 Thailand

Shellac wax (SHW) is a natural, organic resin obtained from insects such as Laccifer lacca . Poloxamer (P) is synthesized tri-block copolymer consists of hydrophilic and hydrophobic blocks arranged in a tri-block structure. In this experiment, the matrix tablets comprising various ratios of P and SHW were fabricated with fusion method. Hydrophilic and hydrophobic model drugs in this study were propranolol hydrochloride (PRN) and hydrochlorothiazide (HCTZ), respectively. Water sorption and erosion behaviors and drug release patterns were investigated. Tablet weight and hardness was slightly increased as the content of P increased due to higher density of P than that of SHW. The swollen tablet was obtained when using higher amount of P. In contrast, tablet erosion was observed in matrix tablets comprising lower content of P. The swelling of matrix tablets comprising 7:3 and 8:2 of P: SHW ratios could promote the prolongation of the drug release; thus, they show the potential for using as the matrix base for controlled drug delivery systems.

关键词： Drug release Water sorption Erosion Shellac wax Poloxamer Matrix tablet

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Seeding Rate Detection and Distribution Evaluation Using the Developed Automatic Maize Seeding Machine

SSRN

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SSRN 2023年

作者： Li, Yunxia Zhang, Zhao Azizi, Afshin Kabir, Muhammand Hilal Igathinathane, Cannayen Wang, Xiqing Tahir, Muhammad Naveed Han, Xiongzhe Zhang, Man Key Laboratory of Smart Agriculture System Integration Ministry of Education Beijing100083 China Key Laboratory of Agricultural Information Acquisition Technology Ministry of Agriculture and Rural Affairs Beijing100083 China College of Information and Electrical Engineering China Agricultural University Beijing100083 China Department of Agricultural and Biosystems Engineering North Dakota State University 1231 Albrecht Blvd FargoND58102 United States College of Biological Sciences China Agricultural University Beijing100083 China Department of Agronomy PMAS-Arid Agriculture University Rawalpindi46300 Pakistan Department of Biosystems Engineering College of Agriculture and Life Sciences Kangwon National University Chuncheon24341 Korea Republic of Interdisciplinary Program in Smart Agriculture College of Agriculture and Life Sciences Kangwon National University Chuncheon Korea Republic of

Highlights● A new automatic maize seeding machine was developed and tested.● YOLOV5 combined with merge-NMS, with 960×960 images, can accurately detect maize seeding rate.● YOLOV5 with merge-NMS is robust for processing images under different illumination.● The seeding rate can be correctly detected with an average accuracy of 91.14%. © 2023, The Authors. All rights reserved.

关键词： Precision agriculture

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Simple one-pot assay for visual and smartphone-based quantification of human albumin in urine and biological fluids

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Talanta 2025年 295卷 128443页

作者： Nopchulee Cheeveewattanagul Oranut Warachit Paskorn Muangphrom Patsamon Rijiravanich Sensor Technology Laboratory Pilot Plant Development and Training Institute King Mongkut's University of Technology Thonburi (KMUTT) Bangkhuntien Campus Bangkok 10150 Thailand Department of Clinical Pathology Phramongkutklao Hospital and College of Medicine Bangkok 10400 Thailand Nanoscience and Nanotechnology Graduate Program Faculty of Science KMUTT Bangmod Campus Bangkok 10140 Thailand Industrial Sensor Technology Research Team Biochemical Engineering and System Biology Research Group National Center for Genetic Engineering and Biotechnology National Science and Technology Development Agency at KMUTT (Bangkhuntien Campus) Bangkok 10150 Thailand

This study introduces a simple and effective one-pot assay for the quantification of human albumin (HA) using H8 aptamer-modified magnetic beads (H8Apt-MB-HA), applicable across various biological fluids, including urine, serum, and sweat. Upon binding to HA, the aptamer-bead complexes exhibit concentration-dependent aggregation: well-dispersed at low HA levels and clustered at higher concentrations, with rapid sedimentation under a magnetic field in U-shaped well plates. These aggregation patterns are visually discernible, enabling rapid qualitative screening without the need for complex instrumentation. For quantitative analysis, digital images captured by a smartphone or a plate scanner (Cytation™ 5) are processed using ImageJ software, allowing for accurate signal quantification. The top and bottom-view assay achieves a detection limit of 5.9 and 6.5 mg L −1 and demonstrates robust performance across a urinary pH range of 5.0–7.0. Minimal cross-reactivity with other biological components confirms the aptamer's high specificity. Clinical validation with patient urine samples shows excellent correlation with standard immunoturbidimetric methods, underscoring the assay's potential for point-of-care testing. This approach supports immediate interpretation and clinical decision making, especially valuable in resource-limited settings and for routine monitoring of kidney-related disorders.

关键词： Aggregation-based detection Aptamer Human albumin One-pot assay Smartphone-based analysis Urine

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Glaucoma identification with retinal fundus images using deep learning: systematic review

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Informatics in Medicine Unlocked 2025年 56卷

作者： Meedeniya, Dulani Shyamalee, Thisara Lim, Gilbert Yogarajah, Pratheepan Department of Computer Science and Engineering University of Moratuwa Moratuwa 10400 Sri Lanka First-Year Division Faculty of Computing Sri Lanka Institute of Information Technology Malabe 10115 Sri Lanka SingHealth AI Health Program SingHealth Group Singapore 168582 Singapore School of Computing Engineering and Intelligent System Ulster University Londonderry BT48 7JL United Kingdom

Glaucoma is a leading cause of blindness, affecting millions of people worldwide. It is a chronic eye condition that damages the optic nerve and, if left untreated, can lead to vision loss and a decreased quality of life. Therefore, there is a need to explore practical and reliable mechanisms for glaucoma identification. This study systematically reviews deep-learning approaches for glaucoma identification using retinal fundus images from 2018 to 2024. Compared to existing survey studies, we cover the latest research, including several public retinal fundus image datasets, and focus on segmentation, classification based on convolutional neural networks and vision transformers, and explainability. The findings of this study, including comparisons of existing methods and key insights, will assist researchers and developers in identifying the most suitable techniques for glaucoma detection. © 2025 The Authors

关键词： Artificial intelligence Classification Deep learning Explainability Glaucoma Segmentation Trustworthiness

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CRISPR/Cas9 mediated somatic gene therapy for insertional mutations:the vibrator mouse model

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Precision Clinical Medicine 2021年第3期4卷 168-175页

作者： Xin Fu Jie Zhu Yaou Duan Paul Lu Kang Zhang Spine Center Xin Hua Hospital Affiliated to Shanghai Jiao Tong University School of MedicineShanghai 200092China Guangzhou Women and Children’s Medical Center Guangzhou Medical UniversityGuangzhou 510623China Department of Nanoengineering Chemical Engineering Programand Moores Cancer CenterUniversity of California at San DiegoLa JollaCA 92093USA VA-San Diego Healthcare System San DiegoCA 92161USA Department of Neurosciences University of California at San DiegoLa JollaCA 92093USA Center for Biomedicine and Innovations Faculty of MedicineMacao University of Science and TechnologyMacaoChina

Somatic gene therapy remains technically challenging,especially in the central nervous system(CNS).Efficiency of gene delivery,efficacy in recipient cells,and proportion of cells required for overall benefit are the key points needed to be considered in any therapeutic *** efforts have demonstrated the efficacy of RNA-guided nucleases such as CRISPR/Cas9 in correcting point mutations or removing dominant *** we used viral delivered Cas9 plasmid and two guide RNAs to remove a recessive insertional mutation,vibrator(vb),in the mouse *** vb mice expressed∼20%of normal levels of phosphatidylinositol transfer protein,α(PITPα)RNA and protein due to an endogenous retrovirus inserted in intron 4,resulting in early-onset tremor,degeneration of brainstem and spinal cord neurons,and juvenile *** in situ CRISPR/Cas9 viral treatment effectively delayed neurodegeneration,attenuated tremor,and bypassed juvenile *** studies demonstrate the potential of CRISPR/Cas9-mediated gene therapy for insertional mutations in the postnatal brain.

关键词： somatic gene editing neurodegenerative disease vibrator mouse model CRISPR/Cas9 Pitpna

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Question-Answering system Extracts Information on Injection Drug Use from Clinical Notes

arXiv

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arXiv 2023年

作者： Mahbub, Maria Goethert, Ian Danciu, Ioana Knight, Kathryn Srinivasan, Sudarshan Tamang, Suzanne Rozenberg-Ben-Dror, Karine Solares, Hugo Martins, Susana Trafton, Jodie Begoli, Edmon Peterson, Gregory D. Cyber Resilience and Intelligence Division Oak Ridge National Laboratory Oak RidgeTN United States Information Technology Services Division Oak Ridge National Laboratory Oak RidgeTN United States Computational Sciences and Engineering Division Oak Ridge National Laboratory Oak RidgeTN United States Department of Biomedical Informatics Vanderbilt University NashvilleTN United States Program Evaluation and Resource Center Office of Mental Health and Suicide Prevention Department of Veterans Affairs United States Department of Medicine Stanford University School of Medicine StanfordCA United States Veterans Affairs Great Lakes Health Care System WestchesterIL United States Department of Electrical Engineering and Computer Science University of Tennessee Knoxville KnoxvilleTN United States

Background: Injection drug use (IDU) is a dangerous health behavior that increases mortality and morbidity. Identifying IDU early and initiating harm reduction interventions can benefit individuals at risk. However, extracting IDU behaviors from patients’ electronic health records (EHR) is difficult because there is no International Classification of Disease (ICD) code and the only place IDU information can be indicated is unstructured free-text clinical notes. Although natural language processing can efficiently extract this information from unstructured data, there are no validated tools. Methods: To address this gap in clinical information, we design and demonstrate a question-answering (QA) framework to extract information on IDU from clinical notes. Our framework involves two main steps: (1) generating a gold-standard QA dataset and (2) developing and testing the QA model. We utilize 2323 clinical notes of 1145 patients sourced from the VA Corporate Data Warehouse to construct the gold-standard dataset for developing and evaluating the QA model. We also demonstrate the QA model’s ability to extract IDU-related information on temporally out-of-distribution data. Results: Here we show that for a strict match between gold-standard and predicted answers, the QA model achieves 51.65% F1 score. For a relaxed match between the gold-standard and predicted answers, the QA model obtains 78.03% F1 score, along with 85.38% Precision and 79.02% Recall scores. Moreover, the QA model demonstrates consistent performance when subjected to temporally out-of-distribution data. Conclusions: Our study introduces a QA framework designed to extract IDU information from clinical notes, aiming to enhance the accurate and efficient detection of people who inject drugs, extract relevant information, and ultimately facilitate informed patient care. © 2023, CC BY-NC-ND.

关键词： Data warehouses

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Mercury transformation processes in nature: Critical knowledge gaps and perspectives for moving forward

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Journal of Environmental Sciences 2022年第9期34卷 152-165页

作者： Zhiyuan Gao Wang Zheng Yanbin Li Yurong Liu Mengjie Wu Shouying Li Ping Li Guangliang Liu Xuewu Fu Shuxiao Wang Feiyue Wang Yong Cai Xinbin Feng Baohua Gu Huan Zhong Yongguang Yin Centre for Earth Observation Science and Department of Environment and GeographyUniversity of ManitobaWinnipegMB R3T 2N2Canada Institute of Surface-Earth System Science Tianjin UniversityTianjin 300192China Key Laboratory of Marine Chemistry Theory and Technology Ministry of Education and College of Chemistry and Chemical EngineeringOcean University of ChinaQingdao 266100China State Key Laboratory of Agricultural Microbiology Huazhong Agricultural UniversityWuhan 430070China School of the Environment Nanjing UniversityState Key Laboratory of Pollution Control and Resource ReuseNanjing 210023China State Key Laboratory of Environmental Geochemistry Institute of GeochemistryChinese Academy of SciencesGuiyang 550081China Department of Chemistry and Biochemistry Florida International UniversityMiamiFL 33199USA School of Environment and State Key Joint Laboratory of Environment Simulation and Pollution Control Tsinghua UniversityBeijing 100084China Environmental Sciences Division Oak Ridge National LaboratoryOak RidgeTennessee 37831USA Environmental and Life Sciences Program(EnLS) Trent UniversityPeterboroughOntario K9L 0G2Canada Research Center for Eco-Environmental Sciences Chinese Academy of SciencesBeijing 100085China

The transformation of mercury(Hg) in the environment plays a vital role in the cycling of Hg and its risk to the ecosystem and human health. Of particular importance are Hg oxidation/reduction and methylation/demethylation processes driven or mediated by the dynamics of light, microorganisms, and organic carbon, among others. Advances in understanding those Hg transformation processes determine our capacity of projecting and mitigating Hg risk. Here, we provide a critical analysis of major knowledge gaps in our understanding of Hg transformation in nature, with perspectives on approaches moving forward. Our analysis focuses on Hg transformation processes in the environment, as well as emerging methodology in exploring these processes. Future avenues for improving the understanding of Hg transformation processes to protect ecosystem and human health are also explored.

关键词： Mercury oxidation reduction methylation demethylation isotope fractionation

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