Optimization of process parameters for improved production of biomass protein from Aspergillus niger using banana peel as a substrate

Md. Mostafa Kamal,Md. Rahmat Ali,Mohammad Rezaul Islam Shishir,Md. Saifullah,Md. Raihanul Haque,Shakti Chandra Mondal 한국식품과학회 2019 Food Science and Biotechnology Vol.28 No.6

This study was aimed to optimize the processvariables for improved production of biomass protein usingAspergillus niger from banana fruit peel by the use ofresponse surface methodology. A five-level-four factorscentral composite rotatable design was applied to elucidatethe influence of process variables viz. temperature(20–40 C), pH (4–8), substrate concentration (5–25%),and fermentation period (1–5 days) on biomass and proteincontent. The second-order polynomial models were established,which effectively explicated the variation inexperimental data and significantly epitomized theappreciable correlation between independent variables andresponses. After numerical optimization, the predictedoptimum conditions (temperature of 31.02 C, pH of 6.19,substrate concentration of 19.92%, and the fermentationperiod of 4 days) were obtained with biomass of 24.69 g/Land protein of 61.23%, which were verified through confirmatoryexperiments.

Present Status of Rooftop Gardening in Sylhet City Corporation of Bangladesh: an Assessment Based on Ecological and Economic Perspectives

Md. Habibur Rahman,Most. Jannatul Fardusi,Mizanur Rahman,Md. Mostafa Kamal,Md. Jasim Uddin,Bishwajit Roy 강원대학교 산림과학연구소 2013 Journal of Forest Science Vol.29 No.1

Present study analyzes the rooftop gardening status, floristic composition and cost and return of the rooftop garden in Sylhet City Corporation of northeastern Bangladesh. Data was collected from 450 rooftop gardeners randomly during July-September 2010. Study reveal that rooftop gardening is generally for mental satisfaction (95.3%) followed by leisure time activity (87.8%) in the study area and almost all the family members of gardeners’ were involved; while collection of planting materials, sites preparation and marketing of products were reported to be carried out by males only (male 71.33%). Middle income classes were most interested in rooftop gardening (43.78%). The survey recorded 53 plant species (35 families) of which Cucurbitaceae family represented highest eight species. Shrubs (28%) were highest followed by herbs (26%) among agri-crops (36%) and flower species (30%). About 89% of the rooftop gardeners procured planting materials from nursery, market, fair, neighbor, relative and friends and they mostly prefer to use seedlings (48%) for roof gardening followed by direct seed sowing (21%). Gardeners sell products sporadically in different local markets, directly or through intermediaries, with no uniform pricing for system. Rooftop gardening improves the food security and meet nutritional deficiency to the gardeners. Survey revealed that generally very few people consider rooftop gardening commercially to get profit and from the cost-return analysis this gardening system can be economically viable if proper and scientifically managed. The study conclude that active government and NGOs could play vital role to increasing this activities by providing training and motivate people with technical aspects of rooftop gardening.

Segmentation and Recognition of Korean Vehicle License Plate Characters Based on the Global Threshold Method and the Cross-Correlation Matching Algorithm

Md. Mostafa Kamal Sarker,송문규 한국정보처리학회 2016 Journal of information processing systems Vol.12 No.4

The vehicle license plate recognition (VLPR) system analyzes and monitors the speed of vehicles, theft of vehicles, the violation of traffic rules, illegal parking, etc., on the motorway. The VLPR consists of three major parts: license plate detection (LPD), license plate character segmentation (LPCS), and license plate character recognition (LPCR). This paper presents an efficient method for the LPCS and LPCR of Korean vehicle license plates (LPs). LP tilt adjustment is a very important process in LPCS. Radon transformation is used to correct the tilt adjustment of LP. The global threshold segmentation method is used for segmented LP characters from two different types of Korean LPs, which are a single row LP (SRLP) and double row LP (DRLP). The cross-correlation matching method is used for LPCR. Our experimental results show that the proposed methods for LPCS and LPCR can be easily implemented, and they achieved 99.35% and 99.85% segmentation and recognition accuracy rates, respectively for Korean LPs.

Korean Car License Plate Character Recognition using Local Line Binary Pattern

Md. Mostafa Kamal Sarker,Moon Kyou Song 한국통신학회 2015 한국통신학회 학술대회논문집 Vol.2015 No.1

Extraction and Characterization of Pectin from Citrus sinensis Peel

Kamal Md. Mostafa,Kumar Jibon,Mamun Md. Akter Hamid,Ahmed Md. Nazim Uddin,Shishir Mohammad Rezaul Islamd,Mondal Shakti Chandra 한국농업기계학회 2021 바이오시스템공학 Vol.46 No.1

Purpose The industrial application of pectin is increasing although its production was far away from the demand, which exerts extra pressure on the existing pectin sources. The present study was focused on the extraction and quality evaluation of pectin from Citrus sinensis (sweet orange) peel as a potential pectin source. Methodology Pectin was extracted from sweet orange peel powder in a shaking water bath at three different extraction conditions, viz. temperatures (65, 75, 85, and 95 °C), pH (1.0, 1.5, 2, and 2.5), and time (45, 60, 75, and 90 min). The extracted pectin was dried to constant weight in a cabinet dryer at 50 °C and packed in the high-density polyethylene pouch and stored at 4 °C until used for quality analysis. After single factor experiments, optimization of process variables was done statistically using the response surface methodology (RSM), where the experimental data were fitted to a second-order polynomial model. Results The pectin yield was found to vary between 12.52 and 22.45% and the best extraction condition was recorded to be higher in yield at the temperature of 95 °C (21.53%), pH of 1.5 (21.28%), and extraction time of 90 min (22.45%) from the single factor optimization. The quality parameters of pectin, e.g., equivalent weight (1744.66~1899.33 g), methoxyl group content (5.02~5.64%), and degree of esterification (73.26~77.56%), were found to be in satisfactory levels. On the contrary, anhydrouronic acid content (38.47~41.30%) was very low compared to the existing data for various pectin sources. The developed polynomial model has effectively explained the data variation and adequately described the actual correlation between the independent and dependent variables. Results from both single factor experiments and RSM revealed that extraction temperature, pH, and time had a significant influence on the yield and quality of the extracted pectin. Fromthe optimization study, the optimum condition was found as the temperature of 94.13 °C, pH of 1.45, and time of 114.70 min, which yielded 23.64% pectin. Conclusion Conclusively, extraction of pectin from sweet orange peel could be of great interest for application in the food and pharmaceutical industries.

Real-Time Vehicle License Plate Detection Based on Background Subtraction and Cascade of Boosted Classifiers

Md. Mostafa Kamal Sarker,Moon Kyou Song 한국통신학회 2014 韓國通信學會論文誌 Vol.39 No.10(융합기술)

License plate (LP) detection is the most imperative part of an automatic LP recognition (LPR) system. Typical LPR contains two steps, namely LP detection (LPD) and character recognition. In this paper, we propose an efficient Vehicle-to-LP detection framework which combines with an adaptive GMM (Gaussian Mixture Model) and a cascade of boosted classifiers to make a faster vehicle LP detector. To develop a background model by using a GMM is possible in the circumstance of a fixed camera and extracts the motions using background subtraction. Firstly, an adaptive GMM is used to find the region of interest (ROI) on which motion detectors are running to detect the vehicle area as blobs ROIs. Secondly, a cascade of boosted classifiers is executed on the blobs ROIs to detect a LP. The experimental results on our test video with the resolution of 720x576 show that the LPD rate of the proposed system is 99.14% and the average computational time is approximately 42ms.

Novel License Plate Detection Method Based on Heuristic Energy Map

Md.Mostafa Kamal Sarker,Sook Yoon,Jaehwan Lee,Dong Sun Park 한국통신학회 2013 韓國通信學會論文誌 Vol.38 No.12(융합기술)

License Plate Detection (LPD) is a key component in automatic license plate recognition system. Despite the success of License Plate Recognition (LPR) methods in the past decades, the problem is quite a challenge due to the diversity of plate formats and multiform outdoor illumination conditions during image acquisition. This paper aims at automatical detection of car license plates via image processing techniques. In this paper, we proposed a real-time and robust method for license plate detection using Heuristic Energy Map(HEM). In the vehicle image, the region of license plate contains many components or edges. We obtain the edge energy values of an image by using the box filter and search for the license plate region with high energy values. Using this energy value information or Heuristic Energy Map(HEM), we can easily detect the license plate region from vehicle image with a very high possibilities. The proposed method consists two main steps: Region of Interest (ROI) Detection and License Plate Detection. This method has better performance in speed and accuracy than the most of existing methods used for license plate detection. The proposed method can detect a license plate within 130 milliseconds and its detection rate is 99.2% on a 3.10-GHz Intel Core i3-2100(with 4.00 GB of RAM) personal computer.

Segmentation and Recognition of Korean Vehicle License Plate Characters Based on the Global Threshold Method and the Cross-Correlation Matching Algorithm

Sarker, Md. Mostafa Kamal,Song, Moon Kyou Korea Information Processing Society 2016 Journal of information processing systems Vol.9 No.3

The vehicle license plate recognition (VLPR) system analyzes and monitors the speed of vehicles, theft of vehicles, the violation of traffic rules, illegal parking, etc., on the motorway. The VLPR consists of three major parts: license plate detection (LPD), license plate character segmentation (LPCS), and license plate character recognition (LPCR). This paper presents an efficient method for the LPCS and LPCR of Korean vehicle license plates (LPs). LP tilt adjustment is a very important process in LPCS. Radon transformation is used to correct the tilt adjustment of LP. The global threshold segmentation method is used for segmented LP characters from two different types of Korean LPs, which are a single row LP (SRLP) and double row LP (DRLP). The cross-correlation matching method is used for LPCR. Our experimental results show that the proposed methods for LPCS and LPCR can be easily implemented, and they achieved 99.35% and 99.85% segmentation and recognition accuracy rates, respectively for Korean LPs.

Present Status of Rooftop Gardening in Sylhet City Corporation of Bangladesh: an Assessment Based on Ecological and Economic Perspectives

Rahman, Md. Habibur,Rahman, Mizanur,Kamal, Md. Mostafa,Uddin, Md. Jasim,Fardusi, Most. Jannatul,Roy, Bishwajit Institute of Forest Science 2013 Journal of Forest Science Vol.29 No.1

Present study analyzes the rooftop gardening status, floristic composition and cost and return of the rooftop garden in Sylhet City Corporation of northeastern Bangladesh. Data was collected from 450 rooftop gardeners randomly during July-September 2010. Study reveal that rooftop gardening is generally for mental satisfaction (95.3%) followed by leisure time activity (87.8%) in the study area and almost all the family members of gardeners' were involved; while collection of planting materials, sites preparation and marketing of products were reported to be carried out by males only (male 71.33%). Middle income classes were most interested in rooftop gardening (43.78%). The survey recorded 53 plant species (35 families) of which Cucurbitaceae family represented highest eight species. Shrubs (28%) were highest followed by herbs (26%) among agri-crops (36%) and flower species (30%). About 89% of the rooftop gardeners procured planting materials from nursery, market, fair, neighbor, relative and friends and they mostly prefer to use seedlings (48%) for roof gardening followed by direct seed sowing (21%). Gardeners sell products sporadically in different local markets, directly or through intermediaries, with no uniform pricing for system. Rooftop gardening improves the food security and meet nutritional deficiency to the gardeners. Survey revealed that generally very few people consider rooftop gardening commercially to get profit and from the cost-return analysis this gardening system can be economically viable if proper and scientifically managed. The study conclude that active government and NGOs could play vital role to increasing this activities by providing training and motivate people with technical aspects of rooftop gardening.

Detection and Recognition of Illegally Parked Vehicles Based on an Adaptive Gaussian Mixture Model and a Seed Fill Algorithm

Sarker, Md. Mostafa Kamal,Weihua, Cai,Song, Moon Kyou The Korea Institute of Information and Commucation 2015 Journal of information and communication convergen Vol.13 No.3

In this paper, we present an algorithm for the detection of illegally parked vehicles based on a combination of some image processing algorithms. A digital camera is fixed in the illegal parking region to capture the video frames. An adaptive Gaussian mixture model (GMM) is used for background subtraction in a complex environment to identify the regions of moving objects in our test video. Stationary objects are detected by using the pixel-level features in time sequences. A stationary vehicle is detected by using the local features of the object, and thus, information about illegally parked vehicles is successfully obtained. An automatic alarm system can be utilized according to the different regulations of different illegal parking regions. The results of this study obtained using a test video sequence of a real-time traffic scene show that the proposed method is effective.