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Faisal Ahmed,김래현,여영구 한국화학공학회 2013 Korean Journal of Chemical Engineering Vol.30 No.1
We propose two parameter update schemes which employ recursive update of partial Least Squares (PLS)model parameters as well as a model bias update to the process data. These update schemes have been applied to the successful prediction of Melt Index (MI) in grade-change operations of High Density Polyethylene (HDPE) plants. The lack of sophisticated software support hinders the recurrent use of these techniques. This paper also presents userfriendly,easy to use, graphical user interface to raise the usability and accessibility of the approach of online update of the PLS models.
Faisal Ahmed,Ethungshan Shitiri,Ho-Shin Cho 한국통신학회 2021 한국통신학회 학술대회논문집 Vol.2021 No.11
This short paper envisions reconfigurable intelligent surface (RIS) as an alternative to relay nodes for underwater acoustic sensor networks (UWASNs). In that regard, an RIS-aided relay architecture for UWASNs is presented which enables the RIS controller to manage the allocation of the RIS elements. Discussions are provided to elicit the challenges that lie in managing the RIS elements and time-slots allocation in a distributed manner, and how a machine learning technique can be used by the sensors to select the appropriate elements and time-slots.
Faisal Ahmed,Salman Nazir,Yeong Koo Yeo 한국화학공학회 2009 Korean Journal of Chemical Engineering Vol.26 No.1
An empirical model has been developed for the successful prediction of the melt index (MI) during grade change operations in a high density polyethylene plant. To efficiently capture the nonlinearity and grade-changing characteristics of the polymerization process, the plant operation data is treated with the recursive partial least square (RPLS) scheme combined with model output bias updating. In this work two different schemes have been proposed. The first scheme makes use of an arbitrary threshold value which selects one of the two updating methods according to the process requirement so as to minimize the root mean square error (RMSE). In the second scheme, the number of RPLS updating runs is minimized to make the soft sensor time efficient, while reducing, maintaining or normally increasing the RMSE obtained from first scheme up to some extent. These schemes are compared with other techniques to exhibit their superiority.
Faisal Ahmed,Hyun Jun Cho,Jin-Kuk Kim,Noh Uk Seong,여영구 한국화학공학회 2015 Korean Journal of Chemical Engineering Vol.32 No.6
The accurate and reliable real-time estimation of NOx emission is indispensable for the implementation of successful control and optimization of NOx emission from a coal-fired power plant. We apply a real-time update scheme to least squares support vector machines (LSSVM) to build a real-time version for real-time prediction of NOx. Incorporation of LSSVM in the update scheme enhances its generalization ability for long-term predictions. The proposed real-time model based on LSSVM (LSSVM-scheme) is applied to NOx emission process data from a coal-fired power plant in Korea to compare the prediction performance of NOx emission with real-time model based on partial least squares (PLS-scheme). Prediction results show that LSSVM-scheme predicts robustly for a long passage of time with higher accuracy in comparison with PLS-scheme. We also present a user friendly and sophisticated graphical user interface to enhance the convenience to approach the features of real-time LSSVM-scheme.
Faisal Ahmed Shanta,Md Abdullah Al Bari 국제구조공학회 2022 Structural Engineering and Mechanics, An Int'l Jou Vol.84 No.5
Additive manufacturing is an emerging method to manufacture objects with complex shapes and intricate geometry, such as cellular structures. The cellular structures can widely be used in lightweight application as it provides a high strength-toload ratio. Under the various testing condition, each topology shows different mechanical properties. This study investigates the structural response of various types of cellular structures in compression loading, both experimentally and numerically. For that purpose, honeycomb, modified honeycomb, and spiral-type topology were selected to investigate. Besides, structural properties change by changing the cell size for each topology is also investigated. The specimens were subjected to a compression test by a universal testing machine to determine the absorbed energy and other mechanical properties. An implicit numerical study was also conducted to determine cellular structure’s mechanical characteristics. The experimental and numerical results show that the honeycomb structure absorbs the maximum energy compared to the other structures. The experimentally and numerically calculated absorbed energy for the 4.8 mm honeycomb structure was 32.2J and 30.63J, respectively. The results also show that the increase of cell size for a particular cellular structure reduces the energy-absorbing ability of that structure.
Faisal Othman Al-Qurashi,Ahmed Abdullah Aladsani,Fatema Khalil Al Qanea,Sarah Yousef Faisal 대한소아소화기영양학회 2019 Pediatric gastroenterology, hepatology & nutrition Vol.22 No.4
We report a 12-month-old female infant who had a history of neonatal sepsis with liver micro-abscesses that resolved with intravenous antibiotics during neonatal period. During her neonatal admission period, no umbilical vein catheter was inserted. Also, she did not undergo any abdominal surgeries or had a postnatal history of necrotizing enterocolitis. However, the child developed upper gastrointestinal bleeding in form of hematemesis and melena secondary to esophageal varices at the age of 12 months with an extra-hepatic portal vein obstruction with cavernous transformation and portal hypertension subsequently. The child underwent a successful endoscopic injection sclerotherapy. She is now 20-month-old and has portal hypertension but otherwise asymptomatic. We are proposing the possibility of a delayed-onset portal hypertension as a complication of liver abscess and neonatal sepsis.
Angle-Based Localization and Security Enhancement in Optical Camera Communication
Md. Faisal Ahmed,Md. Shahjalal,Md. Morshed Alam,Yeong Min Jang 한국통신학회 2021 한국통신학회 학술대회논문집 Vol.2021 No.6
In this article, we have designed an optical camera communication-based system that monitor the temperature and status of the valve position in the factory environment. We have used an AM2302 temperature sensor to collect the temperature data from the surrounding and transmit as an optical signal using LED. The image sensor received the optical signal and retrieve data based on rolling shutter effect of the camera. Neural network based LED detection is perform to find exact position of the LED in image sensor. Before data decoding, the output signal is processed using the unique key to enhance the security protocol. The entire process is performed in Python 3.8 environment.