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Evaluation of Tinda Gourd (Praecitrullus fistulosu) Germplasm's Yield
RAHEEL, Asfand,KHAN, Nasir Ahmad,BABAR, Raheel,ULLAH, Muhammad Arshad,ZAFFAR, Ali,IQBAL, Maouz,ASHRAF, Usman Korea FoodHealth Convergence Association 2019 식품보건융합연구 (KJFHC) Vol.5 No.3
The field experiment was conducted in vegetable area, Institute of Horticultural Sciences in University of Agriculture, Faisalabad in order to recognize morphological and fruit growth pattern and yield of Tinda (Praecitrullus fistulosus) gourd germplasm lines. Sixteen germplasm lines in which one line is used as check are included were sown and grown on flat beds in field. The field experiment was arranged as randomized complete block design (RCBD) with three replications. Data on days to maturity, fruit per vine, fruit weight in grams, fruit diameter and total yield obtained were recorded. The fruit texture is marked as phenotype parameter. All parameters were collected and then analyzed statistically. All lines and replications showed different results among each other according to parameter. The maximum DTM (days to maturity), F/P (fruit per plant), FW (fruit weight), FD (fruit diameter) and Yield were recorded was $L_0$ (68.66), $L_3$ (1.66), $L_{10}$ (248.33), $L_{13}$ (8.50) and $L_0$ (599.33) and the minimum were recorded was $L_1$ (56), $L_{11}$ (0.33), $L_0$ (198), $L_9$ (7) and $L_4$ (421) grams respectively. All lines showed smooth texture of fruits with no hairs when mature at harvesting stage.
A Low Cost Electro-Oculogram (EOG) Controlled Assistive Wheel Chair
Raheel Riaz,S.Hammad Akhter,Aisha Masood,Ana Zulfiqar,Khoula Abid,Kiran Akhter,S. M. Omair,Zia Mohyud-din 한국재활복지공학회 2016 한국재활복지공학회 학술대회논문집 Vol.2016 No.11
Increased Paralysis or physical disability cases are one of the greatest problems of this technologically developing world. It destroys the life and self-esteem of the survivor and they become dependable on others to fulfill their mobility needs. Many works has been done to aid their disability and to give them independent mobility. Several sophisticated methods have been designed to generate such assistive devices to help the disable peoples. Some of such devices include the use of cameras to produce movement based on eye gaze, another such method consists of the use of high-end computer systems that can process the data efficiently but these are very expensive and less portable. This research introduce a cost effective method to generate assistive device to guide and control the wheel chair for disable people, it involves the non-sophisticated technology based on analog filters, amplifiers and Electrooculography (measure of the Corneo-retinal standing potential that exists between the front and the back of the human eye.). Eye movement directions are used to guide and control the wheel chair.
Estimation of Solar Panel Output based on Weather Parameters using Machine Learning Algorithms
Raheel Siddiqui,Sulaiman Umer,Asif Iqbal,Farman Ullah,Ajmal Khan,Kyung Sup Kwak 한국통신학회 2020 한국통신학회 학술대회논문집 Vol.2020 No.8
Solar energy is one of the most extensively used renewable energy sources. However, it is highly variable and needs accurate estimation for its wide range of integration into the electricity grid. Solar voltage and current are estimated in areas where only sunlight is considered as a primary solar parameter, and information about their weather conditions are unknown. Weather plays a vital role in the prediction of solar panel output. In this paper, we propose solar panel output prediction considering the solar panel and weather parameters using machine learning algorithms. We estimate the solar panel voltage and current consider the weather parameters such as temperature, humidity, rain rate, wind speed, and wind direction. For estimating the output voltage and current, Linear Regression (LR) and Artificial Neural Network (ANN) are applied on weather and solar data. The datasets are extracted from Bancroft close 49KW substation, which is placed in the UK, for three months. The performance of the given model is evaluated using two matrices Root Mean Square Error (RMSE) and Absolute Error (AE). The Neural Network shows better accuracy compared to the linear regression.
Decoding Brain Patterns for Colored and Grayscale Images using Multivariate Pattern Analysis
( Raheel Zafar ),( Muhammad Noman Malik ),( Huma Hayat ),( Aamir Saeed Malik ) 한국인터넷정보학회 2020 KSII Transactions on Internet and Information Syst Vol.14 No.4
Taxonomy of human brain activity is a complicated rather challenging procedure. Due to its multifaceted aspects, including experiment design, stimuli selection and presentation of images other than feature extraction and selection techniques, foster its challenging nature. Although, researchers have focused various methods to create taxonomy of human brain activity, however use of multivariate pattern analysis (MVPA) for image recognition to catalog the human brain activities is scarce. Moreover, experiment design is a complex procedure and selection of image type, color and order is challenging too. Thus, this research bridge the gap by using MVPA to create taxonomy of human brain activity for different categories of images, both colored and gray scale. In this regard, experiment is conducted through EEG testing technique, with feature extraction, selection and classification approaches to collect data from prequalified criteria of 25 graduates of University Technology PETRONAS (UTP). These participants are shown both colored and gray scale images to record accuracy and reaction time. The results showed that colored images produces better end result in terms of accuracy and response time using wavelet transform, t-test and support vector machine. This research resulted that MVPA is a better approach for the analysis of EEG data as more useful information can be extracted from the brain using colored images. This research discusses a detail behavior of human brain based on the color and gray scale images for the specific and unique task. This research contributes to further improve the decoding of human brain with increased accuracy. Besides, such experiment settings can be implemented and contribute to other areas of medical, military, business, lie detection and many others.
Raheel Ahmad,Ghulam Destgeer,Muhammad Afzal,Husnain Ahmed,Jin Ho Jung,Jinsoo Park,Kwangseok Park,Hyung Jin Sung 한국가시화정보학회 2017 한국가시화정보학회 학술발표대회 논문집 Vol.2017 No.5
We designed a robust bio-chemo-mechanical hybrid system capable to capture and separate specific target molecules. The system composed of aptamer15 modified streptavidin-coated polystyrene microsphere (PSMs-apt15) and acoustofluidic device to show non-destructive target molecule separation. In this study, thrombin is selected as target molecule. First, the thrombin was captured by target-specific aptamer15 functionalized on PSMs (PSMs-apt15-thrombin) from a mixture of protein solution and separated with acoustofluidic device which consist of single-layered starting polydimethylsiloxane (PDMS) microchannel with interdigital transducer (IDT) patterned on lithium niobate (LiNbO3) substrate to produce high frequency (130 MHz) travelling surface acoustic waves (TSAWs). Once the IDT was actuated, the thrombin captured complex (PSMs-apt15-thrombin) were separated from the proteins solution due to the vertical component of acoustic radiation force, as >1 for green fluorescent microsphere and collected at outlet 2 by sheath focusing, while other proteins solution with some unbound thrombin passed through outlet 1. This hybrid system based on TSAWs could greatly enable the separation of various low abundant protein biomarkers.
STABILIZED FINITE ELEMENT METHOD FOR 3D VORTEX-INDUCED VIBRATION SIMULATION
Raheel Rasool(라힐 라술),Hyung Taek Ahn(안형택) 한국전산유체공학회 2010 한국전산유체공학회 학술대회논문집 Vol.2010 No.11
Vortex-induced vibration of a circular cylinder is simulated within the finite element framework. A stabilized finite element method is employed for the fluid flow and beam structural element is used for the motion of a flexible cylinder. Various coupling strategies between the fluid and structural solvers are discussed. The viability of the approach is presented for the 3D incompressible flow around a flexible circular cylinder.
Utilization of fNIRS signals as feedback for sensory decoding
M. Raheel Bhutta,Seong-Woo Woo,So-Hyeon Yoo,Jongseo Park,Keum-Shik Hong 제어로봇시스템학회 2017 제어로봇시스템학회 국제학술대회 논문집 Vol.2017 No.10
Recently researchers have started working in the field of sensory decoding for amputees. They have used either the visual feedback or the response from the subject as their feedback. Many researchers, however, believe that sensory decoding can become more precise if the neuronal changes that occur in the process of stimulations can be isolated and measured. In this study, we have used lab-developed multichannel functional near-infrared spectroscopy (fNIRS) to discriminate between hemodynamic responses (HRs) of two different touch stimulations (handshake and ball grasp) applied to the right hand of five healthy male subjects. For all the stimulations, we measured HRs from the left somatosensory cortex. For each stimulation, the activated areas in the brain are analyzed by the t-value comparison between the measured data and the desired hemodynamic response function. The results showed that the corresponding primary somatosensory cortex area is activated for each type of stimulation. Linear discriminant analysis is utilized to classify the acquired data into two classes based on the features (mean and peak values) attained from the HbO signals. Our results indicate the potential of fNIRS to be used as an objective measure to discriminate between different tactile stimulations in the somatosensory cortex of brain.