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Comparative Analysis between Single Diode and Double Diode Model of PV Cell: Concentrate Different Parameters Effect on Its Efficiency 被引量:3
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作者 tanvir ahmad Sharmin Sobhan Md. Faysal Nayan 《Journal of Power and Energy Engineering》 2016年第3期31-46,共16页
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 ... 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. 展开更多
关键词 Photovoltaic Cell Single Diode Model Double Diode Model EFFICIENCY Simulation
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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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作者 Shahid Aziz Simone König +8 位作者 Muhammad Umer Tayyab Saeed Akhter Shafqat Iqbal Maryum Ibrar Tofeeq Ur-Rehman tanvir ahmad Alfizah Hanafiah Rabaab Zahra Faisal Rasheed 《Artificial Intelligence in Gastroenterology》 2023年第1期10-27,共18页
BACKGROUND Gastric cancer(GC)is the fourth leading cause of cancer-related deaths worldwide.Diagnosis relies on histopathology and the number of endoscopies is increasing.Helicobacter pylori(H.pylori)infection is a ma... BACKGROUND Gastric cancer(GC)is the fourth leading cause of cancer-related deaths worldwide.Diagnosis relies on histopathology and the number of endoscopies is increasing.Helicobacter pylori(H.pylori)infection is a major risk factor.AIM To develop an in-silico GC prediction model to reduce the number of diagnostic surgical procedures.The meta-data of patients with gastroduodenal symptoms,risk factors associated with GC,and H.pylori infection status from Holy Family Hospital Rawalpindi,Pakistan,were used with machine learning.METHODS 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 questionnaire.H.pylori infection status was determined based on urea breath test.The association of these factors and histopathological grades was assessed statistically.K-Nearest Neighbors and Random Forest(RF)machine learning models were tested.RESULTS This study reported an overall frequency of 64.2%(219/341)of H.pylori infection among enrolled subjects.It 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 females.More abdominal pain(72.4%,247/341)was observed than other clinical symptoms including vomiting,bloating,acid reflux and heartburn.The 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 cases.Age,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 accuracy.CONCLUSION GC risk factors were incorporated into a computer model to predict the likelihood of developing GC with high sensitivity and specificity.The model is dynamic and will be further improved and validated by including new data in future research studies.Its use may reduce unnecessary endoscopic procedures.It is freely available. 展开更多
关键词 Gastric cancer GASTRITIS Machine learning Prediction model Helicobacter pylori
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Dual Mode-Multiple Output SEPIC Converter Integrated with Passive Ripple Cancelling Circuit for Standalone PV Energy Harvesting System
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作者 Sharmin Sobhan Md. Ashraful Hoque +2 位作者 Golam Sarowar tanvir ahmad Abdul Mannan Farhan 《Journal of Power and Energy Engineering》 2016年第11期1-18,共18页
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... 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. 展开更多
关键词 Photovoltaic Cell Current Ripple Reduction Dual Mode Converter Multiple Outputs Efficiency
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一种基于YOLO的交通目标实时检测方法 被引量:6
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作者 王思雨 tanvir ahmad 《计算机与数字工程》 2020年第9期2162-2167,共6页
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... 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。 展开更多
关键词 无人驾驶 人工智能 深度学习 YOLO 目标检测
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Prevalence and Associated Factors of Anemia among Pregnant Women Receiving Antenatal Care (ANC) at Fatima Hospital in Jashore, Bangladesh: A Cross-Sectional Study 被引量:1
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作者 Suzon Ahmed Md. Abdullah Al Mamun +5 位作者 Niaz Mahmud Nisat Farzana Mosammat Sadia Akther Sathi Biplob Kumar Biswas Amit Datta tanvir ahmad 《Food and Nutrition Sciences》 2019年第9期1056-1071,共16页
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 anten... 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. 展开更多
关键词 ANEMIA ANTENATAL Care (ANC) SOCIO-DEMOGRAPHIC CHARACTERISTICS Maternal CHARACTERISTICS Dietary CHARACTERISTICS NUTRITIONAL CHARACTERISTICS
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基于Faster R-CNN的多目标检测研究 被引量:2
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作者 许雪 tanvir ahmad 《计算机与数字工程》 2020年第10期2393-2399,共7页
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... 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。 展开更多
关键词 多目标 深度学习 对象检测 智能交通
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Evolution and Effectiveness of Loss Functions in Generative Adversarial Networks
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作者 Ali Syed Saqlain Fang Fang +2 位作者 tanvir ahmad Liyun Wang Zain-ul Abidin 《China Communications》 SCIE CSCD 2021年第10期45-76,共32页
Recently,the evolution of Generative Adversarial Networks(GANs)has embarked on a journey of revolutionizing the field of artificial and computational intelligence.To improve the generating ability of GANs,various loss... Recently,the evolution of Generative Adversarial Networks(GANs)has embarked on a journey of revolutionizing the field of artificial and computational intelligence.To improve the generating ability of GANs,various loss functions are introduced to measure the degree of similarity between the samples generated by the generator and the real data samples,and the effectiveness of the loss functions in improving the generating ability of GANs.In this paper,we present a detailed survey for the loss functions used in GANs,and provide a critical analysis on the pros and cons of these loss functions.First,the basic theory of GANs along with the training mechanism are introduced.Then,the most commonly used loss functions in GANs are introduced and analyzed.Third,the experimental analyses and comparison of these loss functions are presented in different GAN architectures.Finally,several suggestions on choosing suitable loss functions for image synthesis tasks are given. 展开更多
关键词 loss functions deep learning machine learning unsupervised learning generative adversarial networks(GANs) image synthesis
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Assessment of Infant and Young Child Feeding Practices of Caregiver’s in Jashore City, Bangladesh
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作者 Afroza Sharmin Niaz Mahmud +4 位作者 Md. Jannatul Ferdaus M. N. A. Siddiqui Md. Sidur Rahman Mahbubur Alam Dewan tanvir ahmad 《Food and Nutrition Sciences》 2020年第3期194-206,共13页
Since infant and young child feeding practices play an important role in ameliorating childhood nutrition, an exploratory and descriptive study has thus been conducted employing a previously developed questionnaire at... Since infant and young child feeding practices play an important role in ameliorating childhood nutrition, an exploratory and descriptive study has thus been conducted employing a previously developed questionnaire at Ad-din shisu Hospital, Jashore, Bangladesh to obtain better insights about the breastfeeding and complementary feeding practices among infant and young child feeding caregivers. Out of 260 babies, 54% were female and 46% were male. Nearly all caregivers were found having the idea that breast milk is the best food for newborn babies. Around 81.9% of caregivers think that breast milk contains all the nutrients the baby needs to flourish, but in case of protection from disease, only 18.1% of caregivers think that it protects the baby from certain diseases. Around 46.9% mothers practiced early initiation of breastfeeding and they offered breast milk to their newborn right away (within one hour) after delivery, 53.5% lactating mothers had proper knowledge about breastfeeding methods, 39.6% mothers never practiced burping after breastfeeding, 66.4% mothers had normal delivery, 33.6% mothers had caesarian section, 99% mothers offered colostrums to their babies and only 1% of them didn’t give the colostrums. Besides, 88.8% continued breastfeeding up to 24 months or more along with 83.8% caregivers starting complementary feeding from six months, 55.4% caregivers said baby’s immune system is less developed, so they get attacked by infection easily and 44.6% caregivers said “their tummies are vulnerable to infection”, and 48.8% of the caregivers followed the type of hygiene required. Our findings revealed information on the knowledge, attitude, and practices of the caregiver’s towards breastfeeding and complementary feeding. 展开更多
关键词 BREASTFEEDING COMPLEMENTARY FEEDING INFANT and Young Child CAREGIVERS
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Position statement of Hepatology Society, Dhaka, Bangladesh, on the management of acute variceal bleeding in a resource-limited setting
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作者 tanvir ahmad Shahinul Alam +7 位作者 Saiful Islam Golam Azam Mahabubul Alam SKM Nazmul Hasan Golam Mustafa Motahar Hossain MdAkmat Ali Mobin Khan 《iLIVER》 2022年第4期205-208,共4页
Variceal bleeding is one of the important signs of decompensation in patients with cirrhosis of the liver.It is always a medical emergency and sometimes results in death.Every year many patients die due to acute bleed... Variceal bleeding is one of the important signs of decompensation in patients with cirrhosis of the liver.It is always a medical emergency and sometimes results in death.Every year many patients die due to acute bleeding worldwide.The outcome depends on bleeding and its complications as well as the severity of the underlying liver disease.Careful volume resuscitation,administration of antibiotics and vasoactive drugs,and early endoscopic therapy prevent rebleeding and death.People living in rural areas are first referred to a district hospital from the Upazila health complex for any medical emergency.So,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. 展开更多
关键词 Variceal bleeding Resource-limited setting Terlipressin CIRRHOSIS Primary care physician
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