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Vision Intelligence for Smart Sheep Farming: Applying Ensemble Learning to Detect Sheep Breeds

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ARTIFICIAL INTELLIGENCE IN AGRICULTURE 2024年第1期11卷 1-12页

作者： Himel, Galib Muhammad Shahriar islam, md. Masudul Rahaman, Mijanur Bangladesh Univ Business & Technol Dhaka Bangladesh

The ability to automatically recognize sheep breeds holds significant value for the sheep industry. Sheep farmers often require breed identification to assess the commercial worth of their flocks. However, many farmers specifically the novice one encounter difficulties in accurately identifying sheep breeds without experts in the field. Therefore, there is a need for autonomous approaches that can effectively and precisely replicate the breed identification skills of a sheep breed expert while functioning within a farm environment, thus providing considerable benefits the industry-specific to the novice farmers in the industry. To achieve this objective, we suggest utilizing a model based on convolutional neural networks (CNNs) which can rapidly and efficiently identify the type of sheep based on their facial features. This approach offers a cost-effective solution. To conduct our experiment, we utilized a dataset consisting of 1680 facial images which represented four distinct sheep breeds. This paper proposes an ensemble method that combines Xception, VGG16, InceptionV3, InceptionResNetV2, and DenseNet121 models. During the transfer learning using this pre-trained model, we applied several optimizers and loss functions and chose the best combinations out of them. This classification model has the potential to aid sheep farmers in precisely and efficiently distinguishing between various breeds, enabling more precise assessments of sector-specific classification for different businesses. (c) 2023 The Authors. Publishing services by Elsevier B.V. on behalf of KeAi Communications Co., Ltd. This is an open access article under the CC BY license (http://***/licenses/by/4.0/).

关键词： Computer vision Sheep breed classification Image processing Transfer learning Ensemble learning Meta learner

Acute Lymphoblastic Leukemia Presenting as Systemic Juvenile Idiopathic Arthritis: Experience from Bangladesh

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Open Journal of Rheumatology and Autoimmune Diseases 2024年第1期14卷 1-12页

作者： Manik Kumar Talukder Kamrul Laila md. Arif Hossain md. Shafiqul islam md. Zahidul islam Kalyan Benjamin Gomes Mujammel Haque md. Mahbubul islam md. Imnul islam Department of Paediatrics Bangabandhu Sheikh Mujib Medical University Dhaka Bangladesh Health Services Dhaka Bangladesh NICVD Dhaka Bangladesh

Background: Acute lymphoblastic leukemia (ALL), the most common paediatric malignancy, is a heterogeneous hematologic disease. ALL patients may present with isolated and persistent osteo-articular complaints, lower incidence of hepatomegaly, splenomegaly or lymphadenopathy without clear laboratory features, and misdiagnosed as systemic juvenile idiopathic arthritis (sJIA). Methods: This was a single center cross sectional study over a period of 4 years. Clinic laboratory profiles of 39 ALL children were compared with 39 age and sex-matched sJIA cases. Result: Among 39 ALL patients 89.7% were initially misdiagnosed as sJIA upon clinical presentation. Majority (66.7%) of ALL patients had oligo-articular joint involvement. In sJIA, small joints of the hands were most commonly involved. The total WBC count was significantly higher in ALL patients (p-value 0.0065). CRP and LDH values between the two groups showed significant differences (p-value 0.00006 and 0.00001 respectively). Conclusion: The presentation of leukemia with arthralgia or arthritis makes the diagnosis difficult for the physicians. The diagnosis of sJIA must be made with caution keeping the possibility of haematological malignancy in mind.

关键词： ALL sJIA Arthritis Arthralgia Musculoskeletal

Designing an Effective Method for Automatic Electric Vehicle Charging Stations in a Static Environment

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Journal of Power and Energy Engineering 2024年第1期12卷 15-28页

作者： md. Robiul islam Maisha islam Tania Sarkar Hanif Mia md. Asadullah Department of Electrical Engineering Hohai University Nanjing China Institute of Science Trade & Technology (ISTT) Dhaka Bangladesh

This article outlines an Effective Method for Automatic Electric Vehicle Charging Stations in a Static Environment. It consists of investigated wireless transformer structures with various ferrite forms. WPT technology has rapidly advanced in the last few years. At kilowatt power levels, the transmission distance grows from a few millimeters to several hundred millimeters with a grid to load efficiency greater than 90%. The improvements have made the WPT more appealing for electric vehicle (EV) charging applications in both static and dynamic charging scenarios. Static and dynamic WEVCS, two of the main applications, are described, and current developments with features from research facilities, academic institutions, and businesses are noted. Additionally, forthcoming concepts based WEVCS are analyzed and examined, including “dynamic” wireless charging systems (WCS). A dynamic wireless power transfer (DWPT) system, which can supply electricity to moving EVs, is one of the feasible alternatives. The moving secondary coil is part of the dynamic WPT system, which also comprises of many fixed groundside (primary) coils. An equivalent circuit between the stationary system and the dynamic WPT system that results from the stationary system is demonstrated by theoretical investigations. The dynamic WPT system’s solenoid coils outperform circular coils in terms of flux distribution and misalignment. The WPT-related EV wireless charging technologies were examined in this study. WPT can assist EVs in overcoming their restrictions on cost, range, and charging time.

关键词： Dynamic Wireless Power Transfer (DWPT) Wireless Charging System (WCS) Electric Vehicle (EV) Dynamic Performance

An Efficient Approach for Transforming Unbalanced Transportation Problems into Balanced Problems in Order to Find Optimal Solutions

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American Journal of Operations Research 2024年第1期14卷 74-86页

作者： Abdur Rashid md. Amirul islam Department of Mathematics Jahangirnagar University Dhaka Bangladesh Department of Mathematics Uttara University Dhaka Bangladesh

In operations research, the transportation problem (TP) is among the earliest and most effective applications of the linear programming problem. Unbalanced transportation problems reflect the reality of supply chain and logistics situations where the available supply of goods may not precisely match the demand at different locations. To deal with an unbalanced transportation problem (UTP), it is essential first to convert it into a balanced transportation problem (BTP) to find an initial basic feasible solution (IBFS) and hence the optimal solution. The present paper is concerned with introducing a new approach to convert an unbalanced transportation problem into a balanced one and as a consequence to obtain optimum total transportation cost. Numerical examples are provided to demonstrate the suggested method.

关键词： Unbalanced Transportation Problem (UTP) Supply Demand Initial Solution Optimal Solution

Legendre-Weighted Residual Methods for System of Fractional Order Differential Equations

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Journal of Applied Mathematics and Physics 2024年第9期12卷 3163-3184页

作者： Umme Ruman md. Shafiqul islam Department of Computer Science & Engineering Green University of Bangladesh Dhaka Bangladesh Department of Applied Mathematics University of Dhaka Dhaka Bangladesh

The numerical approach for finding the solution of fractional order systems of boundary value problems (BPVs) is derived in this paper. The implementation of the weighted residuals such as Galerkin, Least Square, and Collocation methods are included for solving fractional order differential equations, which is broadened to acquire the approximate solutions of fractional order systems with differentiable polynomials, namely Legendre polynomials, as basis functions. The algorithm of the residual formulations of matrix form can be coded efficiently. The interpretation of Caputo fractional derivatives is employed here. We have demonstrated these methods numerically through a few examples of linear and nonlinear BVPs. The results in absolute errors show that the present method efficiently finds the numerical solutions of fractional order systems of differential equations.

关键词： Fractional Differential Equations System of Fractional Order BVPs Weighted Residual Methods Modified Legendre Polynomials

Galerkin-Bernstein Approximations for the System of Third-Order Nonlinear Boundary Value Problems

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Journal of Applied Mathematics and Physics 2024年第6期12卷 2083-2101页

作者： Snigdha Dhar md. Shafiqul islam Department of Applied Mathematics University of Dhaka Dhaka Bangladesh

This paper is devoted to find the numerical solutions of one dimensional general nonlinear system of third-order boundary value problems (BVPs) for the pair of functions using Galerkin weighted residual method. We derive mathematical formulations in matrix form, in detail, by exploiting Bernstein polynomials as basis functions. A reasonable accuracy is found when the proposed method is used on few examples. At the end of the study, a comparison is made between the approximate and exact solutions, and also with the solutions of the existing methods. Our results converge monotonically to the exact solutions. In addition, we show that the derived formulations may be applicable by reducing higher order complicated BVP into a lower order system of BVPs, and the performance of the numerical solutions is satisfactory. .

关键词： System of Third-Order BVP Galerkin Method Bernstein Polynomials Nonlinear BVP Higher-Order BVP

Assessment of BRRI Whole Feed Combine Harvester (Model BRRI WCH2021) for Mechanized Rice Harvesting in Bangladesh

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Agricultural Sciences 2024年第2期15卷 274-291页

作者： Arafat Ullah Khan Akm Saiful islam md. Kamruzzaman Pintu Subrata Paul md. Durrul Huda md. Anwar Hossen md. Monirul islam md. Moudud Ahmmed Farm Machinery and Postharvest Technology Division Bangladesh Rice Research Institute Gazipur Bangladesh Workshop Machinery & Maintenance Division Bangladesh Rice Research Institute Gazipur Bangladesh

Agricultural mechanization plays a pivotal role in the transition from subsistence to commercial agriculture, with a particular focus on labour-intensive activities like harvesting. This study assesses the operational characteristics of the BRRI Whole Feed Combine Harvester (Model BRRI WCH2021) at the field level. Developed under the SFMRA project, the harvester’s technical performance and loss assessment were conducted during the Boro 2022 and Aman 2022 seasons in farmer fields in Bangladesh’s Rangpur region. The field efficiency of the harvester was determined to be 62.5% and 57.9% in the Boro and Aman seasons, respectively. Fuel consumption rates were recorded at 2.77 l/ha and 2.31 l/ha for the Boro and Aman seasons. The total harvesting losses, encompassing cutter bar, shatter, cylinder, and separation loss, averaged 0.56% and 0.48% in the Boro and Aman seasons, respectively. Mechanized harvesting with the BRRI Whole Feed Combine Harvester significantly reduced paddy losses by 5.81% compared to manual methods. The field evaluation results indicate the combine harvester’s satisfactory performance, highlighting its potential to alleviate labour demands during peak harvesting. The development of the BRRI WCH offers a sustainable solution for rice harvesting mechanization among progressive farmers. It paves the way for the broader adoption of advanced agricultural technology in Bangladesh.

关键词： BRRI Whole Feed Combine Harvester Field Efficiency Fuel Consumption Harvesting Loss

Modeling urban redevelopment:A novel approach using time-series remote sensing data and machine learning

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Geography and Sustainability 2024年第2期5卷 211-219页

作者： Li Lin Liping Di Chen Zhang Liying Guo Haoteng Zhao didarul islam Hui Li Ziao Liu Gavin Middleton Center for Spatial Information Science and Systems George Mason UniversityFairfaxVA22030USA Department of Geography and Geoinformation Science George Mason UniversityFairfaxVA22030USA

Accurate mapping and timely monitoring of urban redevelopment are pivotal for urban studies and decisionmakers to foster sustainable urban *** mapping methods heavily depend on field surveys and subjective questionnaires,yielding less objective,reliable,and timely *** advancements in Geographic Information Systems(GIS)and remote-sensing technologies have improved the identification and mapping of urban redevelopment through quantitative analysis using satellite-based ***,challenges persist,particularly concerning accuracy and significant temporal *** study introduces a novel approach to modeling urban redevelopment,leveraging machine learning algorithms and remote-sensing *** methodology can facilitate the accurate and timely identification of urban redevelopment *** study’s machine learning model can analyze time-series remote-sensing data to identify spatio-temporal and spectral patterns related to urban *** model is thoroughly evaluated,and the results indicate that it can accurately capture the time-series patterns of urban *** research’s findings are useful for evaluating urban demographic and economic changes,informing policymaking and urban planning,and contributing to sustainable urban *** model can also serve as a foundation for future research on early-stage urban redevelopment detection and evaluation of the causes and impacts of urban redevelopment.

关键词： Urban redevelopment Urban sustainability Remote sensing Time-series analysis Machine learning

Prevalence and Characterization of Pathogens Responsible for Enteric Fever and Assessment of Their Antibiotic Susceptibility Pattern in Bangladesh

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Pharmacology & Pharmacy 2024年第9期15卷 303-313页

作者： Saima Mollick md. Jabir Hasnain md. Saiful islam Tumpa Dasgupta Pharmaceutical Sciences Research Division BCSIR Laboratories Dhaka Bangladesh Council of Scientific and Industrial Research (BCSIR) Dhaka Bangladesh Directorate General of Drug Administration Dhaka Bangladesh Department of Clinical Pharmacy and Pharmacology Faculty of Pharmacy University of Dhaka Dhaka Bangladesh

In Bangladesh, Enteric fever is a persistent health issue throughout the year, occasionally reaching epidemic levels. The growing antibiotic resistance makes treatment increasingly challenging. Therefore, studying the antibiotic resistance patterns within the population is crucial to ensure a more effective treatment strategy. This study was designed to determine the prevalence, antimicrobial susceptibility profile, and factors associated with Salmonella spp. infections among clinically suspected Enteric fever patients in Bangladesh. This study also aimed to investigate whether there has been a re-emergence in the susceptibility of bacterial strains to conventional drugs. Data were collected from February 2024 to July 2024, from patients suspected Enteric fever (fever less than seven days duration) in a Private Diagnostic Center of Bangladesh. A total of 195 blood samples were cultured, where 53.85% came out positive, among which 79.05% Salmonella typhi and 20.95% Salmonella paratyphi A were found. Prevalence of Typhoid fever was observed high among the school-going age group (0 - 15 years) patients. Both these organisms were susceptible to ceftazidime, cefixime, ceftriaxone and cefepime but resistant to nalidixic acid, ciprofloxacin and levofloxacin. Nalidixic Acid is resistant to all S. paratyphi A and sensitive to few S. typhi. Ciprofloxacin and levofloxacin showed delayed response (36.14% and 22.72% sensitive to S. typhi and S. paratyphi A, respectively) and resistance (63.85% and 77.27% resistant to S. typhi and S. paratyphi A, respectively). In case of S. typhi, the resistance was found against ampicillin (32.53%), chloramphenicol (27.71%), cotrimoxazole (24.09%) and the resistance of S. paratyphi A found against ampicillin (4.54%), chloramphenicol (0%) and cotrimoxazole (0%). This study will provide clinicians with alternative drug options and facilitate the effective treatment of Enteric fever.

关键词： Typhoid Salmonella Nalidixic Acid Ciprofloxacin Chloramphenicol Cotrimoxazole