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add math form 4 chapter 2

E-mail marketing campaign!
by celyn784 0 Comments favorite 29 Viewed Download 0 Times

With electronic marketing one gets the direct access to reach out to a group of people, using email. In here various emails are sent to the customer and it could be regarding ads, business requests, discounting offers, etc. The target is potential customer or current customer and the purpose of the emails is to put up reliability, belief, or form brand awareness.

Electronic Adhesives Market would be worth $5.5 Billion, growing at a CAGR of 10.08% by 2019.

[234 Pages Report] Electronic Adhesives Market report categorizes the Global market by Application (Printed Circuit Boards (PCB), Semiconductor & IC), Form (Solid, Liquid & Paste) & by Type (Thermally Conductive, UV Curing Electrically Conductive & others) & Geography. The market for electronic adhesives, in terms of value, is estimated to reach $5.5 billion by 2019, growing at a CAGR of 10.08% from 2014 to 2019.

Leicester video production
by malahuy7 0 Comments favorite 16 Viewed Download 0 Times

It's also possible to utilize corporate video production organizations video recordings to promote your enterprise. That is a crucial point production companies London are selling. It doesn't matter what form of goods and services you are offering, professional video recordings can help you to entice buyers. The particular video recordings can certainly typically be produced affordably for a corporation by means of production companies London and could be enhanced regarding search engines so that when individuals try to find the subject which it in addition employs, the potential consumer is going to be sent to your current online video. Regardless of what form of goods and services a potential buyer is seeking, you actually can sell that for them along with fascinating videos. Videos is definitely an remarkable option - you are able to appeal to numerous potential consumers within a tiny price.

Regional or Universal literature? – A comparative study of the novelistic spaces of C.-F Ramuz and R

R.K Narayan and C.F Ramuz are two writers belonging to two countries known for their pluralistic natures: linguistic, ethnic and religious. In this form of diversity we see the simultaneous valorization of a cosmopolitan tendency as well as of the regional specificities. Such a situation that seems to be positive for society proves to be problematic in literature as universal and regional specificities begin opposing each other. A writer’s work is faced with the dilemma of being termed either as regional literature or world literature. The former is considered to be inferior to the latter. It is this dichotomy that is faced by R.K Narayan and C.F Ramuz. In this study we will investigate the theoretical framework, if any exists, forming the basis of such a categorization; the objective being, the determination of the factors that decide whether an author should be considered as a regional or a universal writer.

Development of Mathematical Model and Stability Analysis for UAH

Unmanned Aerial Vehicle become popular and very useful today. Unmanned Aerial Vehicle types have fixed wing UAV and rotary wing UAV. Among rotary wing UAV, helicopter type is chosen to implement the mathematical model for UAH. Since these helicopter mathematical model is very complex and inflexible, simple model “minimum-complexity helicopter simulation math model” (MCHSMM) is used to develop a non-linear mathematical model R-50 helicopter for this work. This modeling consists of three blocks: (1) Rigid body dynamics, (2) Force and torque dynamics, and (3) Flapping and thrust dynamics. Each of these are implemented in MATALB SIMULINK. There are four control inputs: ulat (lateral control input), ulong (longitudinal control input), ucol (collective control input) and uped (pedal control input). By alternating positive, negative, and zero to four control inputs, the resultant responses of positions, Euler angles, translatory velocities, angular velocities and flapping angles are simulated

Association Rules Mining for Business Intelligence

Business Intelligence (BI) is any information derived from analytics of existing data that can be used strategically in the organization. Data Mining is a subset of BI or a means/process of deriving BI from data using statistical modeling of the data. It can be used to find relationships/correlations between the various data elements captured which can be used to improve business performance or at least understand what is happening better. With the rapid exponential growth in size and number of available Databases in commercial, industrial, administrative and other applications, it is mandatory and important to examine how to extract knowledge from voluminous data. Mining Association rules in transactional or relational databases has recently attracted a lot of attention in database communities. The task is to derive a set of strong association rules in the form of “A1^….^ m=>B1^…^Bm” where Ai(for i €{1,2,.....m}) and Bi(for j € {1,2,.....,n}) are set of attribute-values,

Studies on stable Platinum (II) metal complexes of Ethylenediamine and Diethanolamine dithiocarbamat

This paper studies the structure and properties of platinum complexes of dithiocarbamate derivatives. Dithiocarbamate complexes are found to be very stable and are highly water soluble due to the presences of hydrophilic moiety in their structure. Such complexes have been used as metal complexing species for several decades. They form chelates with almost all metals ions in the Periodic table and have found numerous applications on biological, agricultural, electronics and act as stabilizing agents in electroless copper plating. In this work, ethylenediamine and diethanolamine dithiocarbamates are prepared and complexed with Pt(II) salts to form stable complexes. The complexes are characterized by Rapid Elemental Analysis. The structure of the stable complexes are confirmed with Electronic and I.R Spectral Analysis.

Warning System for European Redmite Using Beta Model

European red mite is a serious problem of apple in Himachal Pradesh .At present more than 80 % orchards have been found infested with European red mite. It sucks cell sap from leaves which resulted into poor quality of fruits. Present studies were undertaken to see the effect of environmental factors e.g. temperature and relative humidity on the buildup of mite population in the apple trees at RHRS, Mashobra. The predicted optimum temperature and relative humidity was calculated by using Beta model is 21.45oC and <85% respectively. Since from the last few years regional observation and experimental database on prediction of pest attack on crop about infection index correspondence to above mentioned environmental parameters was prepared using software Microsoft EXCEL. After that from collected data a mathematical prediction model was developed using the MATLAB as software tool. A generalized form of Beta model was provided to best fit in the data. The value of R2 we observed for eggs

Analysing User Posts for Web Forum using K-means Clustering

With the increasing sites for forums, online reviews and social networking, the current trend is to look up reviews, expert opinions and discussions on the Web, so that the user can make an informed decision. Sentiment analysis, also known as opinion mining is the computational study of opinions, sentiments and emotions expressed in natural language processing and text analysis. A basic task is classifying the polarity of a given text at the document or sentence, whether the expressed opinion in a document or a sentence is positive, negative, or neutral. It can help better understand the behavioral patterns of users in social media for applications. First, the behavior of individuals is collected through their unstructured posts in a forum. Second, they are classified as positive/negative posts and perform the clustering. Third, the cases are encoded in terms of features in some numerical form, requiring a transformation from text to numbers and assign the positive and negative values

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Analysing User Posts for Web Forum using K-means Clustering

With the increasing sites for forums, online reviews and social networking, the current trend is to look up reviews, expert opinions and discussions on the Web, so that the user can make an informed decision. Sentiment analysis, also known as opinion mining is the computational study of opinions, sentiments and emotions expressed in natural language processing and text analysis. A basic task is classifying the polarity of a given text at the document or sentence, whether the expressed opinion in a document or a sentence is positive, negative, or neutral. It can help better understand the behavioral patterns of users in social media for applications. First, the behavior of individuals is collected through their unstructured posts in a forum. Second, they are classified as positive/negative posts and perform the clustering. Third, the cases are encoded in terms of features in some numerical form, requiring a transformation from text to numbers and assign the positive and negative values

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