Private Tutor
Private tutor is assigned to a student, in order to gain desired progress, especially in the academic
domain. With the aim to enhance the learning capabilities across different kinds of subjects, the
private tutor prepares the student for both competitive tests and desired educational and
professional qualifications. The definition for private tutor is to offer tailored tuition along with
insight into the learning needs.
Private tutor can offer support from school to college education, and even in higher education
system. Extended services are also offered in terms of qualifying national and international
competitive exams like TOEFL, GMAT and GRE. There are also room for gaining professional trainings
in various courses for higher education, like Ph.D. To meet these challenges the private tutor trains
the student with all kinds of necessary question patterns.
Basically the responsibility of the private tutor is to plan and schedule the learning sessions, and
customise the same as per the level and needs of the student. These responsibilities can be made
possible through the deliverance of personal visits to the student, or through the audio-video
sessions scheduled as per the convenience of the student. Through these provisions the private
tutor is also meant to produce progress reports and assure real learning development to the
student.
The private tutor is also responsible for offering up-to-date information to the students related to
the specific subject. The learning opportunities led by the private tutor is to offer a progressive trend
to the mode of acquiring academic and professional excellence.
Keyword: private tutor
Algebra tutor
The specification of an Algebra tutor is meant to meet the most common challenges in the domain
of mathematics. Since algebra deals with the derivation of unknown quantities through variables, it
is the toughest subject in mathematics. The need of an algebra tutor is important to make the
student gain necessary capabilities for solving mathematical equations, particularly in deriving
percentages, bank interest and ration & proportions.
To understand the significance of the variables is difficult for a student. For this purpose an algebra
tutor becomes essential for knowing the relevance of the variable. The algebra tutor is responsible
for making the student gain capabilities in various algebraic expressions and formulae. Finding the
unknown distance or volume becomes easy when the student gains adequate knowledge about the
concepts.
For many people the connection of algebra with real life is a big mystery. The algebra tutor makes
the student realise the in importance of algebra in daily life. With acquisition of understanding
mathematical relationships through variables algebra soon becomes the need for resolving various
practical issues. The analytical skills and mental abilities of the student are subject to get developed
through algebra. But without proper guidance and right practice, it is a labyrinth that remains
unsolved for rest of the life. It is here that algebra tutor can help the student to overcome the
challenges of algebra, particularly in solving quadratic and linear equations, algebraic expressions,
and polynomials.
Precisely, the algebra tutor is meant to make the student understand algebra as per the learning
capability of the student. It is about breaking down the algebraic concepts and offer knowledge
about the resolving different variables.
Keyword: Algebra tutor
Mathematics means strategic and analytical growth in the student. Learning mathematics is a matter
strategic way of understanding the formulae and resolving the problems as per determined
regulations. It is different from other kinds of subjects, as it can offer the analytical independence to
the student. It is at this point that appropriate guidance and mentoring becomes mandatory. The
only solution for this can be found through a mathematics tutor.
Importance of the mathematics tutor comes under the realisation as the student needs to clear
various competitive exams. Apart from the school curriculum, it is necessary that the student face
and clear exams like International Mathematical Olympiad (IMO), Mental Calculation World Cup,
and National Mathematics Talent Contests (NMTC). These are real scales assessment at both
national and international levels.
For these purposes, the availability of an expert mathematics tutor on both offline and online
platform is necessary for the student. It is all about offering a face to face interaction between the
student and the teacher, so that the concepts and the technics can be clarified in a very
comprehensive manner.
Thus, the objective of a mathematics tutor is to make the student realise that a problem can be
solved in various ways. With analytical expertise the mathematics tutor is capable of giving the
student the insight into the task of resolving problems. It is all about expanding the analytical skills in
the student at a very tender age, and selection of a right mathematical tutor can offer immense
advantage to the growing mind of the student.
Keyword: mathematics tutor
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Competition Name: The Nature Conservancy Fisheries Monitoring
Method Name:
Pre-processing: Median Filtering, Histogram Equalization
Segmentation: K-Means Clustering
Feature Extraction: Oriented FAST and Rotated BRIEF (ORB)
Classifier:K-Nearest Neighbour
Dataset Description:
The dataset compiled by The Nature Conservancy in partnership with Satlink, Archipelago Marine Research, the Pacific Community, the Solomon Islands Ministry of Fisheries and Marine Resources, the Australia Fisheries Management Authority, and the governments of New Caledonia and Palau.
The Train and Test dataset consists of images having only one fish category out of eight different categories mentioned as follows:
1. Albacore tuna
2. Bigeye tuna
3. Yellowfin tuna
4. MahiMahi
5. Opah
6. Sharks
7. Other (i.e. fish present but not the defined categories)
8. No Fish (i.e. no fish is in the image)
Method Used:
Algorithm
Input: Training Set and Test Set of Images
Output: Classification Score
1. Read the input RGB image
2. Perform median filtering for noise removal
3. Perform histogram equalization for image enhancement
4. Perform the K-Means clustering for segmentation of pre-processed image
5. Applying Oriented FAST and Rotated BRIEF (ORB) method for feature extraction
6. Apply K-Nearest Neighbour (KNN) classifier for recognition
The algorithm initiates into reading the input RGB images from the training set and store them into array. A 5X5 window-based 2D convolution operation is applied on the input images for median filtering. In this process, the neighboring pixels are ordered according to their intensity values and the median value becomes the resulting output for the central pixel of the defined window. Median filters can handle efficiently with noise, in particular impulse noise in which some individual pixels have extreme values while preserving the contrast within the images.
Contrast is a significant image element that can be defined as a ratio between the highest and the lowest pixel intensities of an image. As the images usually suffer from poor image quality, degradation in contrast and happening of shading and artefacts, the lack in centering pixel intensity, poor lightening, specimen spotting are important factors that affect the images which leads to enhance the contrast. In our methodology, histogram equalization is applied for image enhancement. Histogram of images provides a pixel-wise intensity distribution and description of the image appearance globally. The equalization process mapping histogram distribution to a wider and more uniform distribution of intensity values, as a result the intensity values are spread over the whole range of intensity distribution of the images.
The pre-processed images are segmented based on K-Means clustering approach for extraction of the region of interest. K-Means is an unsupervised learning process which assigns and groups the image pixels into a predefined number of clusters based on the calculated similarity for each pixel associate with the nearest center pixel. When all image pixels have been assigned, this iterative process continues with the new calculated center pixels. The process initiates the center pixels corresponding to the clusters randomly and keeps reassigning until criterion is met:
The K-Means objective function:
where is a chosen distance measure between a data point and the cluster centre , is an indicator of the distance of the n data points from their respective cluster centres.
After applying segmentation process, the Oriented FAST and Rotated BRIEF (ORB) method is used to extract significant features. This method combines FAST（Feature from Accelerated Segment test) keypoint detector and BRIEF (Binary Robust Independent Elementary Features) descriptor approach. This method initiates with identification of FAST corner keypoints within the image region based on comparison of the intensity threshold value between the center pixel and those in neighborhood around that pixel. Harris corner extracts the first target N number of FAST keypoints in order to employ them for further processing. A scale pyramid process is incorporated in order to extract N number of FAST keypoints at each level in the pyramid. The intensity centroid value is also measured for each corner orientation for achieving the direction of corresponding keypoints. BRIEF extracts descriptors around selected key feature points through binary coding.
Where, p(x) is the pixel intensity at that point x in image region
p(y) is the pixel intensity at that point y in image region
a set of points can uniquely identify one binary detection τ
K-nearest Neighbor algorithm incorporates the extracted key feature points in order to classify the test image data based on the trained information.
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His ripe experience in the field of education and consultancy helped him in stablishing the online tutoring business. His exposure helped in maintaining his venture’s growth with that is industry growth which is very vital for any business to sustain.
Growth Story of findtutoronline.net
Started in 2009, as a side business running fully on offline mode, findtutoronline.net has brought back the hidden entrepreneur in Mr. Ranadeb Singha. Soon Mr. Ranadeb Singha decided to quit the full time service of M/s Indus Tower Limited and launched the full-fledged website to ride the growth of Online Tutoring.
The official website www.findtutoronline.net came in to existence in 2013 and Mr. Ranadeb Singha with the help of his wife Mrs. Sumita Singha was able to command a good market share of online tutoring in India. Currently, more than 100 teachers from all around the world are associated with findtutoronline.net and the entity has served more than 1,000 students from all over the World, including students form countries like: United States of America (USA), United Kingdom (UK), Canada, Germany, Italy, Dubai, Hongkong, Singapore, Malayasia, Turkey, Lebanon etc.
Findtutoronline.net grew with the industry and has grown @ 30% on YoY basis. Following extract from the financials of findtutoronline.net depicts the same:
Year Turnover YoY Growth
2014-15 11,32,190 22%
2015-16 16,31,528 31%
2016-17 25,72,224 37%
In current financial year, findtutoronline.net is expected to generate business of around 35-40Lacs. The entire business is handled jointly by Mr. & Mrs. Singha and is operated from his own premises, which is also registered with various government agencies including GST.
www.findtutoronline.net
email : info@findtutoronline.net
our web-blog : www.findtutoronline.net/blog
Ph: +91 8697669523 (WhatsApp)
Skype ID : assignmenthelp_1 (findtutoronline.net)
assignmenthelpuk assignmenthelpus45@gmail.com
GSTIN : 19BAQPS0010K1ZI state (State Code): West Bengal (19)
Introduction :
Wizz Air is a low Cost airliner mostly operating in Central and East Europe(CEE)- Poland, Romania, Bulgaria, Hungary, Check R, Slovakia and 11 such others. It was established in 2003. became operational in 2004 and is one of the fastest growing airline( being 4th in terms of capacity growth) in world, with capacity increase 18.9% in the year 2015-2016, to become 50 th largest airline in terms of capacity, carrying 23.8 million passengers in 2016. It has constantly added new routes and bases . As of now it operates in 500 routes from 28 bases and connects 141 destinations in 42 countries. It has continuously added to its fleet of air crafts . It has around 79aircrafts of A320 A family. In terms of market share, it is a leader in geographical segment it operates ie- Central and east Europe, where it has reported market share of 39.08% Financially it has done well , earning profits on a regular basis.It reported a net profit of € 225.3Million at a net profitability margin of 14.3% in year 2017.
Business Environment : The Business environment for the European positive industry has been very promising after deregulation of the European commercial market in the nineties. No of paasengers carried by the industry is around 900 million per year and is growing 5% annually. The number of airports served are over 400 and . The demand for travel across Europe has been ever increasing. The low oil prices and consequent low fares have helped spur the demand. The environment favours the low cost airlines and the share of the LCAs in passenger traffic is 38% . This is more than double the figure of 17% in Year 2015
Current strategy : The Wizz’ strategy is to be ultra-low cost air service provider. In trying to be attain cost leadership. It does so by increasing operational efficiencies. It[s average load factor is high at 90.1% and aircraft utilisation is 12.5Hrs per day.It aggressively hedges on fuel prices to keep fuel costs low. All these measures contributed to reducing the total air line unit cost at € 3.75 per ASK.( available Seat kilometre). It is a niche player operating in a small geographical area- the CEE. It has achieved volume growth by increasing its network ( routes) in this area.
Competitor Analysis: Ryanair is the leader in the aviation industry in Europe in terms of passenger carried as well as by market capitalisation( value of the company). It is also a low cost carrier. Its average fare charged per passenger is as low as €40.5, which makes its break even load factor high at 73%. Nevertheless it’s able to be cost leader by being operationally highly efficient with a passenger load factor of 94% and aircraft utilisation rate of 9.33 hrs.per day. It has increased its network in Europe as well as in specific markets across Europe( eg Israel). It is not averse to growth via joint ventures and acquisitions. Acquisition of Aer Lingus, proposed offer for Alitalia takeover and investments in China are prime examples.
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#cqf final Projects June 2018 Cohort is readily available on the following topics : 1)Portfolio Constructions Black Litterman model with Matlab coding ( for report per page $20 Plus coding in Matlab is $400) 2) CDS Pricing Basket (Coding in VBA-Price $400 + report is $20 per page). 3) Libor model (VBA code at $400 Plus report $20 per page.) 4)Local Interest rate volatility.(Coding in VBA) (coding $400 Plus report $20 per page).5) Time Series-Arbitage(Code in Python $400 Plus report is $20 per page) Price is negotiable. Interested delegates should get in touch with us via WhatsApp: +91 8697669523 or Give us a call at +91 9830552467 or email us :info@findtutoronline.net or findtutoronline.net@gmail.com Last date of submission to CQF is 7th January 2019. Pl contact us immediately to avoid last minute rush. Offer is valid till 2nd January 2019 before close of business hours. All projects are ready for delivery to your inbox after payments release via PayPal or bank transfer. Once payment confirmation given via WhatsApp within one Hours time CQF final Projects code & report June 2018 to your Inbox without fail. Guaranteed solutions guide. Sure success rate. Hurry up. Happy to help you always.
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www.findtutoronline.net
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We accept payment through Paypal/Western Union/Bank Transfer
Advertising Space available for 1 links for 3 months@$212
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For Article posting/Blog posting/Guest Posting/LinkedIn Posting/Twitter Posting/Facebook Posting through our Blog ie www.findtutoronline.net/blog $25 for Each posting.
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Findtutoronline Admin Team
Google’s 1st page ranking Globally.
Our Website : https;//www.findtutoronline.net
Our Website Blog : https://www.findtutoronline.net/blog
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CQF Module Solutions Guide June 2018 Module3 Exam Paper Released date 19th September & Submission date is 3rd October 2019. Also Bulk Discounts available those who booked Module3 to Module6(Final Code & Report Writing).Interested Delegates can send their query via WhatsApp : +91 8697669523/+91 9830552467. Guaranteed results for All modules by our Renowned Experts. Pl do visit our Facebook page at www.facebook.com/cqfmodulesolutions or www.facebook.com/findtutoronline we accept payments through PayPal or Bank transfer. Pl do type in Google as keyword “CQF Online Tutoring” or “MBA Online Tutor” or “CQF Tutors” U will get www.findtutoronline.net in 1st page of google.
Pl find Below Google Analytic reports for your info & needful.
Country
Users
% Users
1.
India
195
64.14%
2.
Nigeria
26
8.55%
3.
Ghana
14
4.61%
4.
United States
14
4.61%
5.
Kenya
13
4.28%
6.
Philippines
8
2.63%
7.
South Africa
8
2.63%
8.
China
6
1.97%
9.
Turkey
3
0.99%
10.
United Kingdom
2
0.66%
