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Computer vision model for estimating the mass and volume of freshly harvested Thai apple ber ( Ziziphus mauritiana L:) and its variation with storage days
مدل بینایی کامپیوتری برای تخمین جرم و حجم سیب تازه برداشت شده تایلندی (Ziziphus mauritiana L:) و تغییرات آن با روزهای نگهداری-2022 The physical properties of fruits are proportional to their mass and volume; this connection is used to determine
the fruit qualities and in designing the novel postharvest machinery. The present study aimed to forecast the
mass and volume of Thai apple ber (Ziziphus mauritiana L.) as a function of its physical properties measured using
image processing techniques at different stages of ripening (1st day, 4th day, 7th day, and 10th day). The mass
and volume models developed and analyzed the single variable regression, multilinear regressions, and mass
regression based on volume. Among these models, linear support vector machine (SVM) was found appropriate.
The experimental data analysis showed that the R2 of the linear SVM model for mass and volume of the projected
area were 0.955 and 0.965, respectively. In contrast, for the multilinear regression model, R2 values were 0.967
and 0.972, respectively. For the mass prediction model, the R2 was 0.970 based on calculated volume showing a
linear relationship. Thus, it was concluded that real-time measurement of physical properties of Thai apple ber
using an image-processing technique to estimate the mass and volume is a precise and accurate approach. keywords: بینایی کامپیوتر | پردازش تصویر | فراگیری ماشین | پسرفت | ماشین بردار پشتیبانی | Computer vision | Image processing | Machine learning | Regression | Support vector machine |
مقاله انگلیسی |
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A prediction of leaf mechanical properties with data mining
پیش بینی خواص مکانیکی برگ با داده کاوی-2019 The mechanical properties of the leaf are typically determined by mechanical testing approaches to study the
leaf lifespan, plant anti-herbivore defences and ecological functions by considering habitat influences, environmental
resources variation and species diversity. While the leaf morphology features were commonly used
for plant recognition and plant disease detection with the aid of an automated inspection system. However, the
influence of morphology features on leaf mechanical properties is vague. In this research, we investigated the
effect of various morphological features on mechanical properties of leaf, followed by proposed a novel leaf
mechanical properties prediction model using data mining techniques. A 600×22 feature vector was collected
and examined using Pearson correlation analysis and Welch’s test to select the relevant features. The prediction
on four mechanical properties indicators was performed with LinearRegression, KStar, DecisionTable and M5P
algorithms in the Waikato Environment for Knowledge Analysis (WEKA). The experimental results show that
numeric prediction for Tearing Force (FT) and Tearing Strength (ST) (RRSE ≈ 25%) were about two folds better
as compared to Work-to-tear (WT) and Specific Work-to-tear (SWT) (RRSE≈50%) in four algorithms tested. The
best results achieved was the FT indicator prediction with M5P algorithms (RRSE=23.12%). FT indicator
prediction model adopted from M5P algorithms output was constructed. Keywords: Data mining | Leaf geometry | Leaf morphology | Regression |
مقاله انگلیسی |
3 |
Evaluating adipocyte differentiation of bone marrow-derived mesenchymal stem cells by a deep learning method for automatic lipid droplet counting
بررسی تمایز چربی سلولهای بنیادی مزانشیمی مشتق از مغز استخوان با استفاده از روش یادگیری عمیق برای شمارش قطرات لیپیدی خودکار-2019 Stem cells are a group of competent cells capable of self-renewal and differentiating into osteogenic, chondrogenic,
and adipogenic lineages. These cells provide the possibility of successfully treating patients. During differentiation
into adipose tissues, a large number of lipid droplets normally accumulate in these cells, which can
be seen through oil red O staining. Although the oil red O staining technique is regularly used for assessing the
differentiation degree, its validity for quantitative studies has not been approved yet. Lipid droplet counting has
applications in differentiation works and saves time and costs once being automated. In this research, for proving
the differentiation of mesenchymal stem cells (MSCs) into adipocyte tissues, their microscopic images were
provided. Then, the microscopic images were segmented into square patches, and the lipid droplets were annotated
through single-point annotation. The proposed network, based on deep learning, is a fully convolutional
regression network processing an image with a small respective field on it. Finally, this method not only does
count the lipid droplets but also generates a count map. The average counting accuracy is 94%, which is higher
than that of the state-of-the-art methods. It is useful to cell biologists to check the percentage of differentiation in
different samples. Also, with a count map, it is possible to observe the regions with high concentrations of lipid
droplets without oil red O staining and, thus, examine the total adipocyte differentiation. The contribution of this
paper is that a deep learning algorithm has been used for the first time in the field of processing intracellular
images. Keywords: Stem cells | Adipocyte differentiation | Counting | Deep learning | Convolutional neural network | Lipid droplets | Regression |
مقاله انگلیسی |
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Effective search for stable segregation configurations at grain boundaries with data-mining techniques
جستجوی موثر تنظیمات جداسازی پایدار در مرزهای دانه با تکنیک های داده کاوی-2018 Grain boundary segregation of dopants plays a crucial role in materials properties. To investigate the dopant
segregation behavior at the grain boundary, an enormous number of combinations have to be considered in the
segregation of multiple dopants at the complex grain boundary structures. Here, two data mining techniques,
the random-forests regression and the genetic algorithm, were applied to determine stable segregation sites at
grain boundaries efficiently. Using the random-forests method, a predictive model was constructed from 2% of
the segregation configurations and it has been shown that this model could determine the stable segregation
configurations. Furthermore, the genetic algorithm also successfully determined the most stable segregation
configuration with great efficiency. We demonstrate that these approaches are quite effective to investigate the
dopant segregation behaviors at grain boundaries.
Keywords: Grain-boundary ،Segregation ، Dopant ، Data mining ، Genetic algorithm ، Regression |
مقاله انگلیسی |
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Geographically weighted negative binomial regression applied to zonal level safety performance models
اعمال رگرسیون دو جانبه منفی با توجه به جغرافیایی به مدل های عملکرد ایمنی سطح منطقه ای -2017 Generalized Linear Models (GLM) with negative binomial distribution for errors, have been widely used to
estimate safety at the level of transportation planning. The limited ability of this technique to take spatial effects
into account can be overcome through the use of local models from spatial regression techniques, such as
Geographically Weighted Poisson Regression (GWPR). Although GWPR is a system that deals with spatial de
pendency and heterogeneity and has already been used in some road safety studies at the planning level, it fails
to account for the possible overdispersion that can be found in the observations on road-traffic crashes. Two
approaches were adopted for the Geographically Weighted Negative Binomial Regression (GWNBR) model to
allow discrete data to be modeled in a non-stationary form and to take note of the overdispersion of the data: the
first examines the constant overdispersion for all the traffic zones and the second includes the variable for each
spatial unit. This research conducts a comparative analysis between non-spatial global crash prediction models
and spatial local GWPR and GWNBR at the level of traffic zones in Fortaleza/Brazil. A geographic database of
126 traffic zones was compiled from the available data on exposure, network characteristics, socioeconomic
factors and land use. The models were calibrated by using the frequency of injury crashes as a dependent
variable and the results showed that GWPR and GWNBR achieved a better performance than GLM for the
average residuals and likelihood as well as reducing the spatial autocorrelation of the residuals, and the GWNBR
model was more able to capture the spatial heterogeneity of the crash frequency.
Keywords: Safety performance models | Spatial dependency | Local spatial models | Geographically weighted poisson regression | Geographically weighted negative binomial | regression |
مقاله انگلیسی |
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Predicting student success in an undergraduate Sport Management program from performance in general education courses
پیش بینی موفقیت دانشجو در یک برنامه مدیریت ورزشی در مقطع کارشناسی از عملکرد در دوره های آموزش عمومی-2017 This research was a case study of the relationship between student performance in general
education courses and required lower division courses and student performance in Sport
Management courses at Kennesaw State University (KSU). Regression results indicated that
student performance in three general education courses, World Literature, Introduction to
Statistics, and American Government, and two lower division courses, Introduction to Sport
Management and Introduction to Financial Accounting, are significantly related to student per
formance in Sport Management courses. The identification of these courses correlated with
student success may be useful to other Sport Management programs considering transitioning to
a gated admissions process.
Keywords: Admissions | Gated program | Regression |
مقاله انگلیسی |
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The use of qualitative case studies in top business and management journals: A quantitative analysis of recent patterns
استفاده از مطالعات موردی کیفی در کسب و کار برتر و مدیریت مجلات : یک تجزیه و تحلیل کمی از الگوهای اخیر-2017 The use of case studies as qualitative research strategy in social sciences seems to have increased
recently, but there are no studies that empirically verify such claim. By explicitly focusing on the field of
business and management studies, we aim to investigate the extent of publication and the main features
of qualitative case studies published in the 20 highest impact factor business and management journals.
The paper discusses the correlation between a journals ranking and the extent of case studies it pub
lished, and between selected features of case studies (e.g. research purpose, design and data sources).
Moreover, we shed light on how the identified features of a case study impact its probability of being
published.
Methodologically, we analyse by means of correlation and regression statistics, as well as clustering
techniques a total of 19 features in the 352 qualitative case studies published between 2002 and 2011 in
our sample of top business and management journals.
Keywords: Qualitative case study | Top management and business journals | Correlation | Regression |
مقاله انگلیسی |
8 |
Evidence gathering for network security and forensics
گردآوری مدارک برای قانونی و امن بودن شبکه-2017 Any machine exposed to the Internet today is at the risk of being attacked and compromised. Detecting attack attempts, be they successful or not, is important for securing networks (servers, end-hosts and other assets) as well as for forensic analysis. In this context, we focus on the problem of evidence gathering by detecting fundamental patterns in network traffic related to suspicious activities. Detecting fundamental anomalous patterns is necessary for a solution to be able to detect as many types of attacks and malicious activities as possible. Our evidence gathering framework correlates multiple patterns detected, thereby increasing the confidence of detection, and resulting in increase in accuracy and decrease in false positives. We demonstrate the effectiveness of our framework by evaluating on a dataset consisting of normal traffic as well as traffic from a number of malwares.© 2017 The Author(s). Published by Elsevier Ltd on behalf of DFRWS. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). Keywords:Forensics | Security | Network | Traffic | Regression |
مقاله انگلیسی |
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پیچیدگی وضعیت فروش و عملکرد Lead (لید) فروش: مطالعه ای تجربی در کمپانی بنگاه به بنگاه
سال انتشار: 2015 - تعداد صفحات فایل pdf انگلیسی: 10 - تعداد صفحات فایل doc فارسی: 34 تعامل نزدیک در روابط بنگاه به بنگاه تبدیل به علاقه ای هم برای محققین و هم برای مدیران شد؛ با این وجود، کمپانی ها معمولا در تکاپوی بدست آوردن مزیتهای همکاری نزدیک با مشتریان شان هستند. تحقیق ما پیچیدگی وضعیت فروش را از سه دیدگاه بررسی می کند 1) پیچیدگی رابطه ای، 2) پیچیدگی وظایف فروش داخلی و 3) همکاری واحد cross-business فروشنده، و تاثیر آن بر عملکرد لید فروش در زمینه بنگاه به بنگاه. ما ترکیبی از این رویکردها را پذیرفتیم؛ داده های ما متشکل از مصاحبه هایی با پرسنل فروش و اطلاعات سیستم مدیریت ارتباط با مشتری (CRM) 4000 فروش است که از کمپانی IT بزرگی سرچشمه گرفته که راهکارهای ترکیبی می فروشد. لیدهای فروش به سه دسته تقسیم می شوند: پیروزی، شکست، و کنسل شده. بر اساس تحلیل پسرفت لجستیکی چند جمله ای، نتایج نشان می دهند که همکاری نزدیک با مشتریان احتمال لیدهای فروش را به کنسل شدن افزایش می دهد. یافته های ما حاکی از آنند که روش فروش با تمرکز بر همکاری نزدیک با مشتریان ممکن است به دلیل مقدار بالای ممکن لیدهای فروش کنسل شده، روشی برای افزایش نرخ های رجوع نباشد. این باید زمانی در نظر گرفته شود که عملکرد فروشنده در محیط بنگاه به بنگاه با همکارای بالایی سنجیده شود. ما مقاله مان را تاثیرات مدیریتی و تئوریکی، و مسیرهایی برای تحقیق آینده به پایان می رسانیم.
کلمات کلیدی: عملکرد فروش | مدیریت فروش | بازاریابی بنگاه به بنگاه | رگرسیون لجستیک | روش ترکیبی |
مقاله ترجمه شده |
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تبدیل به یک جامعه سرمایه گرای دموکراتیک آزاد : یک دیدگاه با دو قرن سابقه بر روی اقتصاد سیاسی در حال رشد آلمان
سال انتشار: 2015 - تعداد صفحات فایل pdf انگلیسی: 19 - تعداد صفحات فایل doc فارسی: 28 چگونه کشورها می توانند یک جامعه دموکراسی سرمایه گرای آزاد باشند؟ چگونه اغلب با شکست روبرو می شوند؟ پیامدهای شدید چنین شکست هایی چه چیزی می تواند باشد؟ داگلاس نورس ، جان والیس ، بری وینگست و وب چارچوبی برای بررسی این مسائل مطرح کردند. این چارچوب تشخیص می دهد که سیاست و اقتصاد این فرایند به طور مشترک تعیین می شوند- کنترل ظرفیت خشونت در جامعه و توزیع منافع اقتصادی به یکدیگر وابسته هستند. بخش دوم مقاله بررسی می کند آیا این چارچوب برای توضیح تکامل اقتصاد و سیاست آلمان از اوایل قرن نوزدهم تا اواسط قرن بیستم مناسب است . این بازبینی پنج مقاله بعدی را معرفی می کند که در مورد چارچوب مربوط به دوره خاصی از تاریخ بحث می کنند: 1814-1870 زمانی آلمان پیشرفت زیادی در ابعاد مختلف کرد اما نتوانست تغییری در ایجاد دموکراسی وکنترل غیر نظامی ارتش ایجاد کند ؛ دوران ویمار زمانی که او با تلاش زیاد اقدام به ایجاد چنین تغییری برآمد و شاید تا چندین سال نیز موفق شد ؛ دوران نازی با پسرفت شدید ؛ پس از جنگ جهانی زمانی که آلمان شروع به تغییر دادن و روی آوری به سوی سرمایه گرایی با دموکراسی کامل کرد.
واژه های کلیدی : تاریخ اقتصادی ، تاریخ آلمان ، مقررات دستیابی آزاد و محدود ، اقتصاد و سیاست نهادی .
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مقاله ترجمه شده |