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시정전시과 체제의 성립 배경과 그 내용
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MALDI-TOF-MS analysis of weak-acid hydrolyzed after 3-picolylamine derivatization
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데이컴법을 이용한 도시재생지원센터 전문인력 직무분석
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P26. Analisis de la prescripcion de la nutricion enteral en una consulta de nutricion
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일제강점기 부산지역 회사의 부문별 변동 분석- 『부산부세요람』자료를 중심으로 -
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경사형 구조 필름층과 비선형 크래딩을 이용한 평행판 도파로의 butt-coupling
- 검색키워드
- 저자 : AHMAD AFTAB (검색결과 3 건)
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Enhancing Cucumber Leaf Curl Disease Detection in Smart Farming: A Hybrid Ensemble Learning Approach
AHMAD AFTAB 전남대학교%0A 일반대학원 2024 국내석사
ABSTRACT The detection of plant diseases is crucial for ensuring high crop quality and yields. However, identifying diseases manually, particularly those visible on leaves, can be time-consuming and expensive. In this study, a hybrid model was used to build a cucumber curl leaf detection system. The main objective of the research was to find the best machine learning classification algorithm and identify the most accurate classifier. The proposed hybrid model combines Support Vector Machine (SVM), K-nearest neighbor (KNN), and Decision Tree (DT) classifiers as base classifiers to develop a hybrid model. Real-time generated datasets were used for prediction, where the Support Vector Machine achieved around 96.37% accuracy, the Decision Tree achieved 98%, and the K-nearest neighbor achieved an accuracy of 97%. Additionally, our proposed hybrid model achieved a classification accuracy of 98.4% on the same dataset. The model can be used for early-stage identification of cucumber curl leaf disease, reducing identification time with high accuracy.
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Khan, Aftab Ahmad 한양대학교 대학원 2021 국내박사
ABSTRACT Hybrid-silica based biomimetic novel polyethersulfone (PES) membranes for robust anti-fouling and anti-wetting performance in direct contact membrane distillation (DCMD) Aftab Ahmad Khan Department of Civil and Environmental Engineering Graduate school of Hanyang University Direct contact membrane distillation (DCMD) is a promising alternate technology for the treatment of highly saline, organic, seawater, oily wastewater, and industrial wastewater with theoretically 100% rejection. Nevertheless, its hindered to commercialize in large scale due to the fouling and wetting issue during operation. To counter the issue, preparing the MD membranes with anti–fouling and anti–wetting properties are inevitable. The rougher top surfaces and low surface energy robust membranes with no severe fouling and wetting, are highly recommended for the competent rejection of hyper saline organic solutions through membrane distillation (MD). Regarding this chapter 4 enlightens a hybrid organic-inorganic functionalized polyethersulfone (PES) membrane preparation for treating hyper-saline feed solutions containing humic acid (HA) foulant. The membrane modification was carried out by dip-coating with silica nanoparticles, followed by vacuum filtration coating with 1H,1H,2H,2H-perfluorodecyl triethoxysilane and polydimethylsiloxane. The PDMS-FAS/SiNPs membrane performance was respectively better from that of commercial polypropylene (PP) and polyvinylidene fluoride (PVDF) membranes. In the DCMD of a feed solution of 1 M NaCl and 10 mg L-1 HA, the flux of the PDMS-FAS/SiNPs membrane remained consistent (17 LMH), with a permeate conductivity of 33.96 µS cm-1. In Chapter 5, a robust anti-wetting and anti-fouling PES membrane for the rejection of a highly saline (NaCl and CaCl2·2H2O) feed solution containing humic acid (HA) in DCMD. Response surface methodology (RSM) was used to determine the optimum formulation of the used materials. The variable factors selected were polydimethyl siloxane (PDMS) and silica (SiO2); liquid entry pressure (LEP) and contact angle (CA) were selected as responses. The optimum PES-13 membrane exhibited consistent flux of 12 LMH and salt rejection (> 99%) with anti-fouling characteristic in DCMD using the feed solution of 3.5 wt% NaCl+10mM CaCl2·2H2O +10mgL−1 HA. Our third research in Chapter 6 describes the preparation of an anti–oil-fouling polyethersulfone membrane using fluorinated silica nanoparticles (F-SiO2@PES) combined with perfluorodecyl triethoxysilane and polydimethylsiloxane for application against oil/water emulsions. Feed solutions consist of different concentrations of oil (hexadecane), different charge surfactants (anionic sodium dodecyl benzenesulfonate, non-ionic Tween 20, and cationic hexadecyltrimethylammonium bromide, and salt (NaCl). No severe fouling was observed during DCMD process regardless of surfactant charge and the concentration of components. The study in the chapter 7, was accomplished with the membrane similar to the previous study (omniphobic membrane). The modified PES membrane (PES-M) wetting and fouling resistance competence was assessed using two hypersaline feed solutions i.e., (I) multiple salts [2000 mg L-1 (CaSO4 + CaCO3 + CaCl2 . 2H2O + NaCl)] + 20 mg L-1 HA feed (MSHA-F) and (II) Busan seawater feed (BSW-F) in DCMD. The PES-M membrane exhibited the robust performance against both feeds especially with MSHA-F for 150 h long operation giving only 20% flux loss, and 68.8 μS/cm conductivity at the end. PES-M membrane is resilient candidate to resist fouling and wetting and suggested to adopt for the desalination of highly saline and complex feed solutions.
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Predictive inspection based control using diagnostic data for manufacturing processes
Khan, Aftab Ahmad University of Michigan 2007 해외박사(DDOD)
The focus of this research is to leverage, combine, and enhance the existing capabilities of diagnostics and process control to improve product quality in manufacturing processes. The improvement in product quality is achieved by providing process control for every product going through a manufacturing process. In a large volume manufacturing industry, such as semiconductor manufacturing, improvement in product quality with existing metrology (inspection) and process control strategies often involve increase in the manufacturing cost. In such processes, sampled products are measured at the metrology stations due to cost, cycle time, and throughput constraints. The product quality control, often based on this sampled and delayed metrology, is carried out for a batch (or lot) of products and is prone to degradation due to external disturbances, process variations, and process drifts. Market demands and technology trends also drive the industry towards higher quality and cost effective products, necessitating the execution of process control for every product at the processing station. One of the main limitations in undertaking this product level control is the non-availability of timely metrology data for every product. This research focuses on this issue and provides predictive inspection or virtual metrology (VM) on a run-to-run (R2R) or product-to-product basis to realize R2R process control. VM is realized by utilizing the pre-process product characteristics and more importantly the large amount of data that is collected in real time for every process run to enable the on-line diagnostics. This VM data is fed back to a control system that improves the product quality by adjusting the process inputs on an R2R basis. The actual (sampled) metrology data is used to update the VM module as well as adjust the controller parameters. The resulting R2R feedback control gives superior results in comparison to a lot based process control. The VM concept is then extended to a factory-wide implementation. This brings unique opportunities and issues to the forefront. Near and long-term solutions are provided to address these issues in order to allow VM to be used today and become an integral part of the factory-wide control solution for R2R process control.
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