Unsupervised classification
See Answer →Change detection techniques
See Answer →Give an overview of various image fusion techniques.
See Answer →What are radiometric errors? Give a detailed account of radiometric image corrections techniques.
See Answer →Linear image enhancement techniques
See Answer →UAV based remote sensing
See Answer →LiDAR data products
See Answer →Give an account of the active microwave remote sensing and its application potential.
See Answer →Describe principles of thermal remote sensing. Also discuss its application potential. Support your answer with the help of neat well labelled diagrams, wherever necessary
See Answer →Imaging spectroscopy
See Answer →Photogrammetry
See Answer →The following data comprising the number of customers (in hundred) and monthly sales (in thousand Rupees):
| Number of Customers (in hundred) | 4 | 6 | 6 | 8 | 10 | 14 | 18 | 20 | 22 | 26 | 28 | 30 | ||||||||||
| Monthly Sales (in thousand Rs) | 1.8 | 3.5 | 5.8 | 7.8 | 8.7 | 9.8 | 10.7 | 11.5 | 12.9 | 13.6 | 14.2 | 15 | ||||||||||
Calculate the residuals and determine the standardised residuals for the model
Use graphical method to minimise the time added to process the following jobs on the machines shown:
| Job 1: | Sequence | A | B | C | D | E | |||||||||||||||||
| Time | 3 | 4 | 2 | 6 | 2 | ||||||||||||||||||
| Job 2: | Sequence | B | C | A | D | E | |||||||||||||||||
| Time | 5 | 4 | 3 | 2 | 6 | ||||||||||||||||||
Calculate the total time elapsed to complete both the jobs
See Answer →A department head has four subordinates, and four tasks to be performed. The subordinates differ in efficiency, and the tasks differ in their intrinsic difficulty. His estimate, of the time each man would take to perform each task, is given in the table below:
| Tasks | Subordinates | ||||||||||||||||||
| E | F | G | H | ||||||||||||||||
| A | 18 | 26 | 17 | 11 | |||||||||||||||
| B | 13 | 28 | 14 | 26 | |||||||||||||||
| C | 38 | 19 | 18 | 15 | |||||||||||||||
| D | 19 | 26 | 24 | 10 | |||||||||||||||
How should the tasks be allocated, one to a subordinate, so as to minimise the total man hour?
See Answer →Solve the following LPP using Simplex method:
Maximize
Subject to the Constraints:
Solve the following LPP using graphical method:
Maximize
Subject to the Constraints:
Rewrite the following linear programming problem in Standard form:
Minimise
Subject to the Constraints:
State whether the following statements are True or False and also give the reason in support of your answer.
a) The Set $ ={(x, y) : 0 ≤ y ≤ 5 when 0 ≤ x≤ 2 and 3≤ y≤ 5 when 2≤ x ≤ 7 } is not a convex set.
b) If 10 is added to each of the entries of the cost matrix of a 3 x 3 assignment problem, then the total cost of an optimal assignment for the changed cost matrix will increase by 10.
c) The solution to a transportation problem with m-rows (supplies) and n-columns
(destinations) is feasible if number of positive allocations is m + n.
d) The Value di ≥ 3 indicates an outlying observation in regression analysis.
e) Variations which occur due to natural forces and operate in a regular and periodic manner over a span of less than or equal to one year are termed as cyclic variations.
The failure data of 10 electronic components are shown in the table given below:
| Failure Number | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | ||||
| Operating Time (in hours) | 3 | 5 | 31 | 51 | 76 | 116 | 140 | 182 | 250 | 302 | ||||
Estimate, the
i) reliability.
ii) cumulative failure distribution.
iii) failure density.
iv) failure rate functions.
A small electronic device is designed to emit a timing signal of 200 milliseconds (ms) duration. In the production of this device, 10 subgroups of four units are taken at periodic intervals and tested. The results are shown in the following table:
| Subgroup Number | Duration of Automatic Signal (in ms) | |||||||||
| a | b | c | d | |||||||
| 1 | 195 | 201 | 194 | 201 | ||||||
| 2 | 204 | 190 | 199 | 195 | ||||||
| 3 | 195 | 197 | 205 | 201 | ||||||
| 4 | 211 | 198 | 193 | 180 | ||||||
| 5 | 204 | 193 | 197 | 200 | ||||||
| 6 | 200 | 202 | 195 | 200 | ||||||
| 7 | 196 | 198 | 197 | 196 | ||||||
| 8 | 201 | 197 | 206 | 207 | ||||||
| 9 | 200 | 202 | 204 | 192 | ||||||
| 10 | 203 | 201 | 209 | 192 | ||||||
i) Estimate the process mean and standard deviation.
ii) Determine the centre line and control limits for the process mean and process variability.
iii) By plotting the charts on graph paper, determine that the process is stable or not with respect to the process mean and process variability. If necessary, compute revised control limits
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