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Comparative Analysis between Single Diode and Double Diode Model of PV Cell: Concentrate Different Parameters Effect on Its Efficiency

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Journal of Power and Energy Engineering 2016年第3期4卷 31-46页

作者： tanvir ahmad Sharmin Sobhan Md. Faysal Nayan Department of Electrical and Electronic Engineering Ahsanullah University of Science and Technology Dhaka Bangladesh

This research appraises comparative analysis between single diode and double diode model of photovoltaic (PV) solar cells to enhance the conversion efficiency of power engendering PV solar systems. Single diode model is simple and easy to implement, whereas double diode model has better accuracy which acquiesces for more precise forecast of PV systems performance. Exploration is done on the basis of simulation results and MATLAB tool is used to serve this purpose. Simulations are performed by varying distinct model parameters such as solar irradiance, temperature, value of parasitic resistances, ideality factor of diode and number of series and parallel connected solar cells used to assemble PV array. Conspicuous demonstration is executed to analyze effects of these specifications on the efficiency curve and power vs. voltage output characteristics of PV cell for specified models.

关键词： Photovoltaic Cell Single Diode Model Double Diode Model Efficiency Simulation

Comparative analysis of real-world data of frequent treatment sequences in metastatic prostate cancer

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Current Urology 2024年第2期18卷 104-109页

作者： Jiten Jaipuria Ishleen Kaur Mohammad Najmud Doja tanvir ahmad Amitabh Singh Sudhir Kumar Rawal Vineet Talwar Girish Sharma Uro-oncology division Rajiv Gandhi Cancer Institute and Research CentreNew DelhiIndia Amity Centre for Cancer Epidemiology and Cancer Research Amity Institute of BiotechnologyAmity UniversityNoidaIndia School of Engineering and Technology Vivekananda Institute of Professional Studies–Technical CampusNew DelhiIndia Department of Computer Engineering Jamia Millia IslamiaNew DelhiIndia Indian Institute of Information Technology SonepatIndia Department of MedicalOncology Rajiv Gandhi Cancer Institute and Research CentreNew DelhiIndia

Background:The incidence of prostate cancer is increasing worldwide.A significant proportion of patients developmetastatic disease and are initially prescribed androgen deprivation therapy(ADT).However,subsequent sequences of treatments in real-world settings that may improve overall survival remain an area of active *** and methods:Data were collected from 384 patients presenting with de novo metastatic prostate cancer from 2011 to 2015 at a tertiary cancer *** were categorized into surviving(n=232)and deceased(n=152)groups at the end of 3 *** sequence pattern mining techniques(Generalized Sequential Pattern Mining and Sequential Pattern Discovery using Equivalence Classes)were applied to determine the exact order of the most frequent sets of treatments in each ***:Degarelix,as the initial form of ADT,was uniquely in the surviving *** sequence of ADT followed by abiraterone and docetaxel was uniquely associated with a higher 3-year overall *** followed by fosfestrol was found to have a unique niche among surviving patients with a long duration of response to the initial *** who received chemotherapy followed by radiotherapy and those who received radiotherapy followed by chemotherapy were found more frequently in the deceased ***:We identified unique treatment sequences among surviving and deceased patients at the end of 3 *** should be the preferred formof *** who received ADT followed by abiraterone and chemotherapy showed better *** requiring palliative radiation and chemotherapy in any sequence were significantlymore frequent in the deceased group,identifying the need to offer such patients the most efficacious agents and to target them in clinical trial design.

关键词： Hormone therapy Metastatic prostate cancer Sequence mining Survival

Position statement of Hepatology Society, Dhaka, Bangladesh, on the management of acute variceal bleeding in a resource-limited setting

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iLIVER 2022年第4期1卷 205-208页

作者： tanvir ahmad Shahinul Alam Saiful Islam Golam Azam Mahabubul Alam SKM Nazmul Hasan Golam Mustafa Motahar Hossain MdAkmat Ali Mobin Khan Kurmitola General Hospital DhakaBangladesh Department of Hepatology BSMMU General SecretaryHepatology SocietyDhakaBangladesh Department of Hepatology BSMMUBangladesh Department of Gastrointestinal-Hepatobiliary and Pancreatic Disorders(GHPD) BIRDEM HospitalBangladesh Department of Hepatology Shahid Syed Nazrul Islam Medical CollegeKishoregonjBangladesh Square Hospital Bangladesh Addin Medical College DhakaBangladesh

Variceal bleeding is one of the important signs of decompensation in patients with cirrhosis of the *** is always a medical emergency and sometimes results in *** year many patients die due to acute bleeding *** outcome depends on bleeding and its complications as well as the severity of the underlying liver *** volume resuscitation,administration of antibiotics and vasoactive drugs,and early endoscopic therapy prevent rebleeding and *** living in rural areas are first referred to a district hospital from the Upazila health complex for any medical ***,commencing the resuscitation process as well as administration of the vasoactive drug(terlipressin)at the first attending hospital before being referred to a higher center will decrease the mortality in patients presenting with acute variceal bleeding.

关键词： Variceal bleeding Resource-limited setting Terlipressin Cirrhosis Primary care physician

基于Faster R-CNN的多目标检测研究

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计算机与数字工程 2020年第10期48卷 2393-2399页

作者：许雪 tanvir ahmad 华北电力大学控制与计算机工程学院北京102206

深度学习的快速发展为计算机视觉带来了新的机遇,特别是对于目标检测领域。此外,它为智能交通领域的车辆和行人检测提供了一种新方法。然而,交通图像数据的收集和人工标注工作是十分繁琐的。在目标检测模型的训练过程中,没有明确的方法... 详细信息

深度学习的快速发展为计算机视觉带来了新的机遇,特别是对于目标检测领域。此外,它为智能交通领域的车辆和行人检测提供了一种新方法。然而,交通图像数据的收集和人工标注工作是十分繁琐的。在目标检测模型的训练过程中,没有明确的方法来选择预训练模型,训练方式和迭代次数。论文利用车载摄像头录制的交通视频来截取交通图像,人工标注交通数据集,采用Faster R-CNN这一深度学习的对象检测算法分析了训练数据集规模、预训练模型、训练方式、迭代次数等对车辆行人检测结果的影响。实验结果分析为今后对象检测模型的训练尤其是交通图像对象检测模型的训练提供数据支撑,从而为智能交通的车辆行人检测研究提供便利。

关键词：多目标深度学习对象检测智能交通

Dual Mode-Multiple Output SEPIC Converter Integrated with Passive Ripple Cancelling Circuit for Standalone PV Energy Harvesting System

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Journal of Power and Energy Engineering 2016年第11期4卷 1-18页

作者： Sharmin Sobhan Md. Ashraful Hoque Golam Sarowar tanvir ahmad Abdul Mannan Farhan Department of Electrical & Electronic Engineering Ahsanullah University of Science & Technology Dhaka Bangladesh Department of Electrical & Electronic Engineering Islamic University of Technology Dhaka Bangladesh Martin Luther University of Halle-Wittenberg Halle Germany

This document addresses an exhaustive standalone Photovoltaic (PV) energy harvesting system considering two crucial issues: system efficiency and cost effectiveness. It contributes a compact resolution with a combined feature of Dual Mode-Multiple Output (DMMO) associated with input ripple reduction technique. Control strategy incorporates with aspect of Maximum Power Point Tracking (MPPT) and output voltage levels regulation. A theoretical analysis is conducted to evaluate the effect of ripple current on PV power. Proposed dual mode converter achieves efficiency of 98.36% and 97.76% respectively for mode-1 and mode-2 operation. However, simulation is performed applying MATLAB/SIMULINK tools to analyze the feasibility of the recommended system.

关键词： Photovoltaic Cell Current Ripple Reduction Dual Mode Converter Multiple Outputs Efficiency

Risk factor profiles for gastric cancer prediction with respect to Helicobacter pylori:A study of a tertiary care hospital in Pakistan

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Artificial Intelligence in Gastroenterology 2023年第1期4卷 10-27页

作者： Shahid Aziz Simone König Muhammad Umer Tayyab Saeed Akhter Shafqat Iqbal Maryum Ibrar Tofeeq Ur-Rehman tanvir ahmad Alfizah Hanafiah Rabaab Zahra Faisal Rasheed Patients Diagnostic Lab Isotope Application DivisionPakistan Institute of Nuclear Science and TechnologyIslamabad 44000Pakistan Department of Microbiology Quaid-i-Azam UniversityIslamabad 45320Pakistan Interdisciplinary Center for Clinical Research Core Unit ProteomicsUniversity of MünsterMünster 48149Germany Management Information System Division Pakistan Institute of Nuclear Science and TechnologyIslamabad 44000Pakistan Centre for Liver and Digestive Diseases Holy Family HospitalRawalpindi 46300Pakistan Pakistan Scientific and Technological Information Centre Quaid-i-Azam UniversityIslamabad 45320Pakistan Department of Pharmacy Quaid-i-Azam UniversityIslamabad 45320Pakistan Faculty of Medicine Department of Medical Microbiology and ImmunologyUniversiti Kebangsan MalaysiaCherasKuala Lumpur 56000Malaysia

BACKGROUND Gastric cancer(GC)is the fourth leading cause of cancer-related deaths *** relies on histopathology and the number of endoscopies is *** pylori(***)infection is a major risk *** To develop an in-silico GC prediction model to reduce the number of diagnostic surgical *** meta-data of patients with gastroduodenal symptoms,risk factors associated with GC,and *** infection status from Holy Family Hospital Rawalpindi,Pakistan,were used with machine *** A cohort of 341 patients was divided into three groups[normal gastric mucosa(NGM),gastroduodenal diseases(GDD),and GC].Information associated with socioeconomic and demographic conditions and GC risk factors was collected using a *** infection status was determined based on urea breath *** association of these factors and histopathological grades was assessed statistically.K-Nearest Neighbors and Random Forest(RF)machine learning models were *** This study reported an overall frequency of 64.2%(219/341)of *** infection among enrolled *** was higher in GC(74.2%,23/31)as compared to NGM and GDD and higher in males(54.3%,119/219)as compared to *** abdominal pain(72.4%,247/341)was observed than other clinical symptoms including vomiting,bloating,acid reflux and *** majority of the GC patients experienced symptoms of vomiting(91%,20/22)with abdominal pain(100%,22/22).The multinomial logistic regression model was statistically significant and correctly classified 80%of the GDD/GC ***,income level,vomiting,bloating and medication had significant association with GDD and GC.A dynamic RF GC-predictive model was developed,which achieved>80%test *** GC risk factors were incorporated into a computer model to predict the likelihood of developing GC with high sensitivity and *** model is dynamic and will be further improved and validated by including n

关键词： Gastric cancer Gastritis Machine learning Prediction model Helicobacter pylori

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一种基于YOLO的交通目标实时检测方法

计算机与数字工程 2020年第9期48卷 2162-2167页

作者：王思雨 tanvir ahmad 华北电力大学控制与计算机工程学院北京102206

随着大数据、云计算、移动互联网等技术的迅速发展,人工智能的技术逐渐成熟,无人驾驶逐渐成为可能。而无人驾驶最重要的一个技术点就是图象识别,通过图像识别前方车辆、行人、障碍物、道路以及交通信号灯和交通标识。通过自动驾驶可以... 详细信息

随着大数据、云计算、移动互联网等技术的迅速发展,人工智能的技术逐渐成熟,无人驾驶逐渐成为可能。而无人驾驶最重要的一个技术点就是图象识别,通过图像识别前方车辆、行人、障碍物、道路以及交通信号灯和交通标识。通过自动驾驶可以减轻驾驶员的负担,减少交通事故的发生频率。论文收集了多个城市的交通道路图像,通过分析交通目标特点,对其车辆、行人以及非机动车进行标注,将其作为样本进行训练。采用一种基于YOLO的深度学习实时目标检测方法,实现对交通目标的实时检测。并通过YOLO最新两个版本进行对比分析,实验结果表明采用YOLOv3进行交通目标检测能够达到一种实时检测的效果,并且能够在保持检测速度的情况下提高检测准确性。

关键词：无人驾驶人工智能深度学习 YOLO 目标检测

Prevalence and Associated Factors of Anemia among Pregnant Women Receiving Antenatal Care (ANC) at Fatima Hospital in Jashore, Bangladesh: A Cross-Sectional Study

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Food and Nutrition Sciences 2019年第9期10卷 1056-1071页

作者： Suzon Ahmed Md. Abdullah Al Mamun Niaz Mahmud Nisat Farzana Mosammat Sadia Akther Sathi Biplob Kumar Biswas Amit Datta tanvir ahmad Department of Nutrition and Food Technology Faculty of Applied Science and Technology Jashore University of Science and Technology Jashore Bangladesh

Since anemia is one of the most skyrocketed public health problems worldwide, an investigation has thus been conducted to assess the prevalence and associated factors of anemia among the pregnant women receiving antenatal care (ANC) at Fatima Hospital in Jashore, Bangladesh. Facility-based cross-sectional study was carried out among 384 pregnant women at Fatima hospital, Bangladesh from February to April, 2019. Data were obtained using a structured questionnaire and participant’s current medical record card. Binary logistic regression analysis was used to identify factors associated with anemia and a P-value < 0.05 was considered as statistically significance. The overall prevalence of anemia among pregnant women was 58.9% (226/384). Out of 226 anemic pregnant mothers, 36.3% (82/226) were mildly anemic, 62.4% (141/226) were moderately anemic and 1.3% (3/384) was severely anemic. Binary logistic regression analysis revealed that the following variables were significantly associated with anemia: Monthly family income (11,000 - 20,000 Taka) [AOR (95% CI) = 0.45 (0.21 - 0.98)], Family size (joint) [AOR (95% CI) = 1.59 (1.03 - 2.45)], Gestational age (third trimester) [AOR (95% CI) = 2.18 (1.40 - 3.40)], birth spacing < 2 years [AOR (95% CI) = 2.87 (1.51 - 5.44)], Excessive blood loss during previous surgery (Yes) [AOR (95% CI) = 2.08 (1.14 - 4.17)], Food group eaten 24 hours (1 - 4 groups) [AOR (95% CI) = 3.43 (1.84 - 6.39)], Breakfast regularly (No) [AOR (95% CI) = 3.64 (1.36 - 9.75)]. The results obtained showed that the prevalence of anemia among pregnant women is severe at Fatima Hospital in Jashore, Bangladesh.

关键词： Anemia Antenatal Care (ANC) Socio-Demographic Characteristics Maternal Characteristics Dietary Characteristics Nutritional Characteristics

Antidepressant,anxiolytic and anti-nociceptive activities of ethanol extract of Steudnera colocasiifolia *** leaves in mice model

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Journal of Coastal Life Medicine 2015年第11期 890-894页

作者： Mohammad Shah Hafez Kabir Mohammed Munawar Hossain Md.Mominur Rahman Shabbir ahmad Abul Hasanat tanvir ahmad Chowdhury Md.Akramul Hoque Nishan Chakrabarty Md.Shakhawat Hossain Department of Pharmacy International Islamic University ChittagongBangladesh

Objective:To estimate the antidepressant,anxiolytic and antinociceptive activities of ethanol extract of Steudnera colocasiifolia ***(***)***:Swiss albino mice treated with 1%Tween solution,standard drugs and ethanol extract of ***,respectively,were subjected to the neurological and antinociceptive *** tail suspension test and forced swimming test were used for testing antidepressant activity,where the parameter is the measurement of immobility *** activity was evaluated by hole board ***-nociceptive potential of the extract was also screened for centrally acting analgesic activity by using formalin induced licking response model and acetic acid induced writhing test was used for testing peripheral analgesic ***:Ethanol extract of *** significantly decreased the period of immobility in both tested models(tail suspension and forced swimming models)of antidepressant *** the hole board model,there was a dose dependant(at 100 and 200 mg/kg)and a significant increase in the number of head dipping by comparing with control(1%Tween solution)(P<0.05 and P<0.001).In formalin induced licking model,a significant inhibition of pain compared to standard diclofenac sodium was observed(P<0.05 and P<0.001).In acetic acid induced test,there was a significant reduction of writhing response and pain in mice treated with leaves extract of *** at 200 mg/kg body weight(P<0.05 and P<0.001).Conclusions:The results proofed the prospective antidepressant,anxiolytic and antinociceptive activities of ethanol extract of *** leaves.

关键词： Steudnera colocasiifolia K.Koch Antinociceptive Antidepressant Anxiolytic Hole board