دانلود مقالهISI دینامیک علف هرز و اصول کشاورزی حفاظتی: مروری

اختصاصی از فی گوو دانلود مقالهISI دینامیک علف هرز و اصول کشاورزی حفاظتی: مروری دانلود با لینک مستقیم و پر سرعت .

موضوع فارسی : دینامیک علف هرز و اصول کشاورزی حفاظتی: مروری

موضوع انگلیسی : Weed dynamics and conservation agriculture principles: A review

تعداد صفحه : 13

فرمت فایل :pdf
 
سال انتشار : 2015

زبان مقاله : انگلیسی

چکیده

کشاورزی حفاظتی (CA) است
بر اساس حداقل اختلال خاک، پوشش دائمی خاک و rota- محصول
روش؛ آن را به عنوان یک جایگزین پایدار به سیستم شامل خاکورزی مرسوم میرسند. تصویب CA
تغییر دینامیک علف هرز و
جوامع و در نتیجه مستلزم تنظیم روش های کنترل علف های هرز.
هدف از این بررسی می باشد به طور خلاصه ادبیات مربوط به اصول CA و تعاملی خود
اثرات آن بر چرخه زندگی علف هرز و ترکیب جامعه، FL بری Y بررسی CA-مناسب شیوه های فرهنگی برای کنترل علف های هرز اضافی، و شناسایی مناطقی که تحقیقات بیشتری نیاز است.

بدون شخم سیستم های جمع آوری دانه در نزدیکی سطح خاک که در آن آنها به احتمال زیاد به جوانه زدن هستند اما همچنین به خطر مرگ و میر بیشتر از طریق تنوع آب و هوا و شکار قرار گرفته است. با فرض عدم وجود ورودی دانه به سیستم، بانک بذر germinable تحت بدون شخم کاهش سرعت بیشتری نسبت به تحت خاکورزی مرسوم. کاهش خاک ورزی ممکن است جوامع علف هرز از dicots سالانه تغییر جهت به گیاهی یک ساله و چند ساله. باقی مانده های سطح پایین تر
دما به خاک و ممکن است ظهور هر دو محصول و علف های هرز به تاخیر بیاندازد. جوانه زنی و رشد
سالانه آخرینها کوچک از در دسترس بودن نور محدود، موانع رشد جسمی و اثرات آللوپاتی بالقوه از سطح باقی مانده رنج می برند. تناوب زراعی علف های هرز از طریق آللوپاتی و زمان تغییر یافته از هر دو مدیریت محصول و خواسته منابع تاثیر می گذارد. چرخش باید محصولات کاشته در ترکیب متنوع
فصول (به عنوان مثال، پاییز و بهار)،سالانه و چند ساله، علف کش های مختلف، و / یا fami- های مختلف محصول
دروغ. ادبیات نشان می دهد اجرای بدون شخم بدون تناوب زراعی می تواند در مشکلات شدید علف هرز منجر؛
نتایج بیشتر تنوع محصول چرخشی در مدیریت علف های هرز آسان تر است. شیوه های فرهنگی اضافی برای
CA عبارتند از: (الف) انتخاب رقم بسیار رقابتی؛ (II) تاریخ کاشت تغییر؛ (III) جلوگیری از علف های هرز
استخدام دانه. (IV) تنظیم آرایش کاشت، تراکم، و قرار دادن کود؛ و (v) میکرو
نخبه برای کنترل زیستی. تحقیقات بیشتری نیاز است در رابطه با: (من) اثرات متقابل خاکورزی و سطح
مانده بر روی علف های هرز؛ (II) استفاده از مدل ها و / یا متاآنالیز برای پیش بینی پاسخ علف هرز، و برای شناسایی
نقاط مداخله در CA؛ و (ج) پتانسیل علف هرز سرکوبگرانه دیگر (4+ سال) چرخش.

کلمات کلیدی: حفاظت
کشاورزی
علف های هرز
بدون شخم
باقی مانده
چرخش

دانلود پاورپوینت در مورد مروری اجمالی بر سیستم نگاهداری داده ها (File System)

اختصاصی از فی گوو دانلود پاورپوینت در مورد مروری اجمالی بر سیستم نگاهداری داده ها (File System) دانلود با لینک مستقیم و پر سرعت .

دانلود پاورپوینت در مورد مروری  اجمالی  بر  سیستم  نگاهداری داده ها (File System)

فرمت فایل: پاورپوینت

تعداد اسلاید: 39

فایل ( File ) چِیست ؟

فایل سیستم (File System) چِیست ؟

دیسک (Disk) چیست ؟

دسترسی کاربران به فایلهای داده چگونه میباشد؟

فایل ( File ) چِیست ؟

üمجموعه ای از داده ها ( Data ) که بطور واحد بوسیله سیستم عامل ((Operating System قابل شناسایی و مدیریت میباشد.

üهر فایل یک واحد مستقل و پایدار (Persistent) از داده ها میباشد.

فایل سیستم (File System) چِیست ؟

     بخش قابل مشاهده ای از سیستم عامل میباشد که دو وظیفه ی مهم در رابطه با نگهداری فایلهای داده را به عهده دارد:

●

.1    مدیریت مشخصات فایلها  (Directory service )

.2    نگاهداری محتوای فایلها (Storage service )

پاورپوینت درباره مروری بر زبانهای برنامه سازی و معرفی زبان برنامه سازی C++

اختصاصی از فی گوو پاورپوینت درباره مروری بر زبانهای برنامه سازی و معرفی زبان برنامه سازی C++ دانلود با لینک مستقیم و پر سرعت .

فرمت فایل :power point( قابل ویرایش) تعداد اسلاید: 14 اسلاید

زبانهای برنامه‌سازی رایج

•Basic

•Pascal

•C و C++

•Ada

•Java

•Fortran

•

•Matlab

دسته‌بندی زبانها بر اساس قابلیتهای اصلی

•Procedural

•C, C++, Basic, Fortran, Pascal, Matlab, Maple

•Object Oriented

•C++, Java, Python,VB.Net, C#

•Functional

•Mathematica

•Graphical

•LabView, Simulink

مقالات ISI مروری درباره داده کاوی

اختصاصی از فی گوو مقالات ISI مروری درباره داده کاوی دانلود با لینک مستقیم و پر سرعت .

Automatic visual detection of human behavior: a review from 2000 to 2014

Accepted Manuscript Review Automatic visual detection of human behavior: a review from 2000 to 2014 Palwasha Afsar, Paulo Cortez, Henrique Santos PII: S0957-4174(15)00351-6 DOI: http://dx.doi.org/10.1016/j.eswa.2015.05.023 Reference: ESWA 10042 To appear in: Expert Systems with Applications Please cite this article as: Afsar, P., Cortez, P., Santos, H., Automatic visual detection of human behavior: a review from 2000 to 2014, Expert Systems with Applications (2015), doi: http://dx.doi.org/10.1016/j.eswa.2015.05.023

Abstract :Due to advances in information technology (e.g., digital video cameras, ubiquitous sensors), the automatic detection of human behaviors from video is a very recent research topic. In this paper, we perform a systematic and recent literature review on this topic, from 2000 to 2014, covering a selection of 193 papers that were searched from six major scientific publishers. The selected papers were classified into three main subjects: detection techniques, datasets and applications. The detection techniques were divided into four categories (initialization, tracking, pose estimation and recognition). The list of datasets includes eight examples (e.g., Hollywood action). Finally, several application areas were identified, including human detection, abnormal activity detection, action recognition, player modeling and pedestrian detection. Our analysis provides a road map to guide future research for designing automatic visual human behavior detection systems.

Keywords: Data mining, Human behavior,

Literature review, Video analysis, Video databases

Hierarchical Classifiers for Multi-Way Sentiment Analysis of Arabic Reviews

ARTICLE in INTERNATIONAL JOURNAL OF ADVANCED COMPUTER SCIENCE AND APPLICATIONS · JANUARY 2016 Impact Factor: 1.32 · DOI: 10.14569/IJACSA.2016.070269

Abstract—Sentiment Analysis (SA) is one of hottest fields in data mining (DM) and natural language processing (NLP). The goal of SA is to extract the sentiment conveyed in a certain text based on its content. While most current works focus on the simple problem of determining whether the sentiment is positive or negative, Multi-Way Sentiment Analysis (MWSA) focuses on sentiments conveyed through a rating or scoring system (e.g., a 5-star scoring system). In such scoring systems, the sentiments conveyed in two reviews of close scores (such as 4 stars and 5 stars) can be very similar creating an added challenge compared to traditional SA. One intuitive way of handling this challenge is via a divide-and-conquer approach where the MWSA problem is divided into a set of sub-problems allowing the use of customized classifiers to differentiate between reviews of close scores. A hierarchical classification structure can be used with this approach where each node represents a different classification sub-problem and the decision from it may lead to the invocation of another classifier. In this work, we show how the use of this divide-and-conquer hierarchical structure of classifiers can generate better results than the use of existing flat classifiers for the MWSA problem. We focus on the Arabic language for many reasons such as the importance of this language and the scarcity of prior works and available tools for it. To the best of our knowledge, very few papers have been published on MWSA of Arabic reviews. One notable work is that of Ali and Atiya, in which the authors collected a large scale Arabic Book Reviews (LABR) dataset and made it publicly available. Unfortunately, the baseline experiments on this dataset had very low accuracy. We present two different hierarchical structures and compare their accuracies with the flat structure using different core classifiers. The comparison is based on standard accuracy measures such as precision and recall in addition to using the mean squared error (MSE) as a more accurate measure given the fact that not all misclassifications are the same. The results show that, in general, hierarchical classifiers give significant improvements (of more than 50% in certain cases) over flat classifiers. Keywords—multi-way sentiment analysis, hierarchical classi- fiers,support vector machine, decision tree, naive bayes, k-nearest neighbor, mean squared error

Intelligent financial fraud detection: a comprehensive review

Author: Jarrod West, Maumita Bhattacharya PII: S0167-4048(15)00126-1 DOI: http://dx.doi.org/doi:10.1016/j.cose.2015.09.005 Reference: COSE 941 To appear in: Computers & Security Received date: 11-9-2014 Revised date: 10-4-2015 Accepted date: 8-9-2015

Abstract. Financial fraud is an issue with far reaching consequences in the finance industry, government, corporate sectors, and for ordinary consumers. Increasing dependence on new technologies such as cloud and mobile computing in recent years has compounded the problem. Traditional methods involving manual detection are not only time consuming, expensive and inaccurate, but in the age of big data they are also impractical. Not surprisingly, financial institutions have turned to automated processes using statistical and computational methods. This paper presents a comprehensive review of financial fraud detection research using such data mining methods, with a particular focus on computational intelligence (CI)-based techniques. Over fifty scientific literature, primarily spanning the period 2004-2014, were analysed in this study; literature that reported empirical studies focusing specifically on CI-based financial fraud detection were considered in particular. Research gap was identified as none of the existing review articles addresses the association among fraud types, CIbased detection algorithms and their performance, as reported in the literature. We have presented a comprehensive classification as well as analysis of existing fraud detection literature based on key aspects such as detection algorithm used, fraud type investigated, and performance of the detection methods for specific financial fraud types. Some of the key issues and challenges associated with the current practices and potential future direction of research have also been identified. Key words: Financial fraud detection; Computational intelligence; Data mining; Anomaly detection; Classification

دو مقاله مروری 2015 و 2016 شبکه های اجتماعی

اختصاصی از فی گوو دو مقاله مروری 2015 و 2016 شبکه های اجتماعی دانلود با لینک مستقیم و پر سرعت .

A literature survey on older adults' use of social network

services and social applications

article info Article history: Received 12 October 2015 Received in revised form 18 December 2015 Accepted 19 December 2015 Available online xxx Keywords: Older adults Social network services Family Multimodal Survey

abstract :With aging, adults which once worked and were active become isolated from the world because with retirement comes a whole range of problems which span from the physical to the social scope. One of the most concerning is social isolation, which can only be fought by satisfying social needs. In terms of technology, the challenges are in designing social technologies that encourage older people to actively engage with each other and with the people around them. This paper presents a survey reviewing research surrounding the emergent field of Social Network Services (SNSs), along with other meaningful social applications, and its use by the older segment of the population. A total of thirteen domains are identified related with how these services can be improved to consider older adults characteristics: from the most important related with the family role and privacy control, to issues related with the design of the user interface, the importance of multimodal interaction and adaptive solutions to compensate agerelated declines, to several other focusing on the importance of groups, photos, cultural and health information. Main contributions to the field of SNS and older adults are given in a set of recommendations which result from discussions on each domain and which aim at the design of a more inclusive SNS solution

Analyzing negative ties in social networks: A survey

Mankirat Kaur *, Sarbjeet Singh UIET, Panjab University, Chandigarh, UT, India Received 20 February 2015; revised 18 July 2015; accepted 13 August 2015

Abstract: Online social networks are a source of sharing information and maintaining personal contacts with other people through social interactions and thus forming virtual communities online. Social networks are crowded with positive and negative relations. Positive relations are formed by support, endorsement and friendship and thus, create a network of well-connected users whereas negative relations are a result of opposition, distrust and avoidance creating disconnected networks. Due to increase in illegal activities such as masquerading, conspiring and creating fake profiles on online social networks, exploring and analyzing these negative activities becomes the need of hour. Usually negative ties are treated in same way as positive ties in many theories such as balance theory and blockmodeling analysis. But the standard concepts of social network analysis do not yield same results in respect of each tie. This paper presents a survey on analyzing negative ties in social networks through various types of network analysis techniques that are used for examining ties such as status, centrality and power measures. Due to the difference in characteristics of flow in positive and negative tie networks some of these measures are not applicable on negative ties. This paper also discusses new methods that have been developed specifically for analyzing negative ties such as negative degree, and h* measure along with the measures based on mixture of positive and negative ties. The different types of social network analysis approaches have been reviewed and compared to determine the best approach that can appropriately identify the negative ties in online networks. It has been analyzed that only few measures such as Degree and PN centrality are applicable for identifying outsiders in network. For applicability in online networks, the performance of PN measure needs to be verified and further, new measures should be developed based upon negative clique concept. 2015 Production and hosting by Elsevier B.V. on behalf of Faculty of Computers and Information, Cairo University.