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Search Results: 1 - 10 of 7617 matches for " Md. Rashedur Rahman "
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Decision Tree Based Routine Generation (DRG) Algorithm: A Data Mining Advancement to Generate Academic Routine and Exam-time Tabling for Open Credit System
Ashiqur Md. Rahman,Sheik Shafaat Giasuddin,Rashedur M Rahman
Journal of Computers , 2010, DOI: 10.4304/jcp.5.1.12-22
Abstract: In this paper we propose and analyze techniques for academic routine and exam time table generation for open credit system. The contributions of this paper are multi-folds. Firstly, a technique namely Decision tree based Routine Generation (DRG) algorithm is proposed to generate an academic routine. Secondly, based on the DRG concept, Exam-time Tabling algorithm (ETA) is developed to implement conflict free exam-time schedule. In open credit course registration system any student may choose any course in any semester after completion of pre-requisite course(s). This makes the research more challenging and complex to accomplish. Academic routine and exam timetable generation are in general NP-Hard problems, i.e., no algorithm has been developed to solve it in reasonable (polynomial) amount of time. Different methods based on heuristics are developed to generate good time-table. In this research we developed heuristic based strategies that generate an efficient academic routine and exam time-table for a university that follow open credit system. OLAP representation helps to classify the courses along with the proposed algorithm to eliminate some constraints. Daybased pattern, minimum manhattan distance between courses of same teacher; minimum conflicted course distribution has been stage-managed to classify the courses. Our ETA algorithm is based on decision tree and sequential search techniques.
Quality Control of Gamma Camera with SPECT Systems  [PDF]
Md. Razibul Hasan, Md. Harunor Rashid Khan, Md. Rashedur Rahman, Md. Shohel Parvez, Md. Rakibul Islam, Ashoke Kumar Paul
International Journal of Medical Physics,Clinical Engineering and Radiation Oncology (IJMPCERO) , 2017, DOI: 10.4236/ijmpcero.2017.63021
Abstract: Quality control of Gamma Camera with SPECT System is highly valuable for assurance performance characteristic. We report the performance characteristic of gamma camera by intrinsic calibration and verification measurement. The study has been done using the data from Siemens Symbia S Series gamma camera by using a point source 99mTc at the Institute of Nuclear Medicine & Allied Sciences (INMAS), Khulna, Bangladesh. From intrinsic calibration and verification flood series, the integral uniformity for the central field of view (CFOV) has been found in between 4.01% and 2.88% and for the useful field of view (UFOV) has been in between 4.77% and 4.30%. The differential uniformity for the CFOV has been in between 1.53% and 2.04% and for the UFOV has been in between 2.32% and 2.77%. According to Operating Instruction Symbia System S Series manual, uniformity can compensate for values exceeding 10%, however while integral uniformity exceed 7%, have to contract Siemens customer service representative. In conclusion, these results show that the intrinsic uniformity of the gamma camera under this condition is within an acceptable range; thus the gamma camera working in INMAS is performed well.
Comparison of Various Classification Techniques Using Different Data Mining Tools for Diabetes Diagnosis  [PDF]
Rashedur M. Rahman, Farhana Afroz
Journal of Software Engineering and Applications (JSEA) , 2013, DOI: 10.4236/jsea.2013.63013

In the absence of medical diagnosis evidences, it is difficult for the experts to opine about the grade of disease with affirmation. Generally many tests are done that involve clustering or classification of large scale data. However many tests could complicate the main diagnosis process and lead to the difficulty in obtaining the end results, particularly in the case where many tests are performed. This kind of difficulty could be resolved with the aid of machine learning techniques. In this research, we present a comparative study of different classification techniques using three data mining tools named WEKA, TANAGRA and MATLAB. The aim of this paper is to analyze the performance of different classification techniques for a set of large data. A fundamental review on the selected techniques is presented for introduction purpose. The diabetes data with a total instance of 768 and 9 attributes (8 for input and 1 for output) will be used to test and justify the differences between the classification methods. Subsequently, the classification technique that has the potential to significantly improve the common or conventional methods will be suggested for use in large scale data, bioinformatics or other general applications.

Decision Tree and Naïve Bayes Algorithm for Classification and Generation of Actionable Knowledge for Direct Marketing  [PDF]
Masud Karim, Rashedur M. Rahman
Journal of Software Engineering and Applications (JSEA) , 2013, DOI: 10.4236/jsea.2013.64025

Many companies like credit card, insurance, bank, retail industry require direct marketing. Data mining can help those institutes to set marketing goal. Data mining techniques have good prospects in their target audiences and improve the likelihood of response. In this work we have investigated two data mining techniques: the Naive Bayes and the C4.5 decision tree algorithms. The goal of this work is to predict whether a client will subscribe a term deposit. We also made comparative study of performance of those two algorithms. Publicly available UCI data is used to train and test the performance of the algorithms. Besides, we extract actionable knowledge from decision tree that focuses to take interesting and important decision in business area.

Competitiveness of Winter Rice Varieties against Weed under Dry Direct Seeded Conditions  [PDF]
A. N. M. Atikur Rahman, A. K. M. Mominul Islam, Md. Altamas Arefin, Md. Rashedur Rahman, Md. Parvez Anwar
Agricultural Sciences (AS) , 2017, DOI: 10.4236/as.2017.812101
Aerobic rice or dry direct seeded rice is highly vulnerable to weeds because of lack of “head start” over weeds and standing water layer to suppress weeds. The risks of chemical control and the huge cost involvement in mechanical control demand an eco-friendly and cost-effective integrated weed management. Weed competitive rice cultivar may be considered as a viable tool for integrated weed management. In these circumstances, an experiment was designed to evaluate weed competitiveness of some selected winter rice varieties under aerobic soil conditions. The study was conducted during dry season (February to June) 2016 at the Agronomy Field Laboratory and Weed Management Laboratory, Bangladesh Agricultural University, Mymensingh. Fourteen rice varieties namely, BRRI dhan28, BRRI dhan29, BRRI dhan47, BRRI dhan50, BRRI dhan55, BRRI dhan58, BRRI dhan59, BRRI dhan67, Binadhan-5, Binadhan-6, Binadhan-8, Binadhan-10, BRRI hybrid dhan3 and Agrodhan-14 were grown under weedy and weed-free conditions. Plots with no rice were also maintained to observe the natural growth of weed in absence of rice. The experiment was conducted with split-plot design with three replications. Weeding regime was allocated in main plot and rice variety was allocated in sub-plot. Results showed that rice varieties varied widely in their yield performances and weed competitiveness. Among rice varieties, BRRI dhan59 allowed the minimum weed growth (19.2 g m-2) while Binadhan-5 allowed the maximum weed growth (62.8 g m-2). Grain yield ranged from 1.85 t ha-1 (BRRI dhan55) to 3.92 t ha-1 (Binadhan-5) under weed-free condition and between 0.41 t ha-1 (BRRI dhan55) and 2.06 t ha-1 (BRRI dhan59) under weedy condition. Weed inflicted relative yield loss ranged from 43.4% to 82.1% among the varieties. BRRI dhan59 allowed the least yield penalty (43.4%) while Binadhan-5 had the maximum yield penalty (82.1%) due to weed competition. Although Binadhan-5 is the most productive variety (3.92 t ha-1) for aerobic culture but its weed inflicted relative yield loss is higher (82.1%) than many other varieties with low yield potential. On the other hand, BRRI dhan59 appeared as the most weed competitive variety (only 43.4% relative yield loss) with productivity of 3.84 t ha-1. Therefore, weed competitive variety should be considered as a vital tool while designing integrated weed management system for aerobic rice.
Contributions of Women’s Participation in the Local Government of Bangladesh  [PDF]
Md. Mizanur Rahman
Sociology Mind (SM) , 2015, DOI: 10.4236/sm.2015.53018
Abstract: Union Parishad (UP) as a unit of rural local government of Bangladesh has a history of 145 years but women’s representation was ensured only 2 decades ago. The paper is based on the argument that within the span of 2 decades, despite encountering huge challenges some women leaders (WLs) might have performed their role with their constrained participation in the UP. Against such a context, the paper is aimed at unraveling the research question: How did WLs perform in the UP amidst their challenges and constrained participation? The paper is based on hermeneutic phenomenological approach which was supported by case study, content analysis and observation methods. The findings of the paper revealed that having ensured their limited participation in the UP some women leaders were able to promote transparency and accountability, establish social justice and provide community services in the rural society.
Aggression in Boys and Girls as Related to Their Academic Achievement and Residential Background  [PDF]
Md Shahinoor Rahman, Lailun Nahar
Psychology (PSYCH) , 2013, DOI: 10.4236/psych.2013.45065

The study was conducted to explore aggression in boys and girls as related to their academic achievement and residential background in Bangladesh. Stratified random sampling technique was used and total 80 respondents constituted the sample of the study. They were equally divided into boys and girls. Each group was again equally divided into high and low grade. Each subgroup was again equally divided into urban and rural residential background. Thus the study used a 2 × 2 × 2 factorial design consisting of two levels of gender (boy/girl), two levels of academic achievement (high grade/low grade) and two levels of residential background (urban/rural). The Bengali version of measure of aggressive behavior (Rahman, A. K. M. R., 2003) originally developed by Buss and Perry (1992) was used for the collection of data. It was found that regardless of gender, boys expressed more aggression than girls. Similarly, regardless of academic achievement, students with high academic grade will show more aggressive behavior than low academic grade students. Finally, students of urban areas will not show significantly more aggressive behavior than rural areas students. Thus the differential treatment in gender, academic achievement and residential background provides a new dimension in understanding aggression in rural and urban boys and girls.

Performance Evaluation of a miniPET Camera for Brain Scanning  [PDF]
Arif Mahmud, Md. Moshiur Rahman
International Journal of Medical Physics,Clinical Engineering and Radiation Oncology (IJMPCERO) , 2015, DOI: 10.4236/ijmpcero.2015.41010
A nuclear miniPET camera was constructed with 2 bucket rings, each having 8 BGO detector modules for brain scanning. After calibration of the camera, an experimental investigation of sensitivity was carried out to evaluate the performance of this PET scanner. The characteristics of NECR were examined for comparisons of count rate considering the statistical noise due to scattered and random events. NECR performance was observed using 10 cm diameter phantom filled with 1 L water and 240 MBq of 18F. All data were acquired in 2D acquisition mode but without septa. Randoms were estimated by introducing delay into the coincidence circuit which was an extra 100 ns time delay. Multiples were recorded simultaneously with the prompt and delayed events. The true plus scattered coincidence events were calculated as the difference between prompt and random plus multiple events. After recording all the data, the noise equivalent count rate (NECR) was calculated and graphically presented. It is observed that NEC value is significantly lower than other similar scanners. Comparing the individual components of the count rate, a much higher randoms rate is observed for the camera because of the absence of any side shielding, so that out of field activity contributes significantly to the randoms rate and hence reduces the NECR value.
Available Approaches of Remediation and Stabilisation of Metal Contamination in Soil: A Review  [PDF]
Tania Rahman, Md. Ferdous Seraj
American Journal of Plant Sciences (AJPS) , 2018, DOI: 10.4236/ajps.2018.910148
Abstract: Anthropogenic activities, such as mining of natural resources, manufac-turing industries, modern agricultural practices and energy production have resulted in the release of heavy metals with resultant harmful im-pacts in some natural environments. Toxic heavy metals are harmful to living organisms even at low concentrations. Therefore, heavy metal contaminated sites should be remediated as heavy metals do not decompose into less harmful substances and are retained in the soil. Conventional methods are used for remediation of heavy metal contaminated soils such as heavy metal extraction, immobilization and removal of soils to landfill produce large quantities of toxic products including insoluble hydroxides and are rarely cost effective. The advent of bioremediation technologies like biosparging, bioventing and bioaugmentation has provided an alternative to conventional methods for remediating heavy metal contaminated soils. A subset of bacteria found in the rhizosphere has been found to increase the tolerance of plants to heavy metals in soil. These bacteria commonly known as plant growth promoting rhizobacteria or Plant Growth Promoting Rhizobacteria (PGPR) are showing promise as a bioremediation technique for the stabilisation and remediation of heavy metal contami-nated sites. PGPR can improve plant growth via a variety of mechanism including fixing atmospheric N to improve N status and making plants more tolerant of heavy metals. Scattered literature is harnessed to review the principles, advantages and disadvantages of the available technologies for remediating heavy metal contaminated soils and is presented.
Rahman Md. Ashikur,Md. Hasanuzzaman,Rahman Md,Rahman Md. Mofizur
International Research Journal of Pharmacy , 2011,
Abstract: Phytochemical analysis of the dried leaves of Tabernaemontana divaricata (L). (Apocynaceae) indicated the presence of a steroids,tannins, saponins, gums and reducing sugar. The pharmacological interest of these compounds, coupled with the use of this plant in traditional medicine prompted the authors to check for its possible antibacterial activity. The extracts (ethanol, petroleum ether, diethyl ether, methanol and aqueous) were found to possess maximum potency against infectious pathogens Staphylococcus saprophyticus, Staphylococcus aureus, Enterococcus facealis, Staphylococcus pyogenes, Streptococcus agalactae, Salmonella typhi, Escherichia coli, Shigella boydii, Shigella dysenteriae and Pseudomonas aeruginosa. The zone of inhibition was observed with almost all bacteria with some exceptions. Minimum inhibitory concentrations of the extracts were found to be significant. The obtained results provide a support for the use of this plant in traditional medicine and its further investigation.
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