This required the finite differences, which had been pioneered by Richardson. However, some of Richardson’s equations were still too complex for primitive computers. Charney developed the quasi-geostrophic approximation, which makes the assumption that there is an exact balance between the pressure gradient force and the Coriolis effect. This reduced several of the atmospheric equations into two equations with two variables. These pairs of equations were simple enough for early computers to solve.
1. Qualitative: Qualitative forecasting methods are basically more subjective and based on human own judgment and experience. It is very helpful when there is very little historical data available about the demand. Human own; judgment, intuition, survey and past knowledge are used in order to do forecast for future demand. This method can be very effective when dealing with new product or new technologies 2.
Another technique that is totally reduces the signal multiple access interference than the above method but this method again suffer from the cost. Both the techniques is called the balanced detection technique in system because in both technique detectors are used in balanced mode. So there is need of the technique that is strongly remove the Multiple access interference in the system and that improve the signal strength for user
Effectiveness: The success of a product is determined the degree to which it is able to successfully perform its intended goal. We can deduce that a product is effective if few errors are encountered, tasks are accomplished, and the completion rate is high. Efficiency: A system is said to efficient when the number of tasks taken to accomplish a task are few. If there are many steps even though the user is able to move from one step to another seamlessly, the system is deemed to be inefficient. Efficiency deals with the time taken to perform a given task.
A Naive Bayesian model is easy to build, with no complex iterative parameter assessment which makes it especially useful for very large datasets. Even though it’s simple, the Naive Bayesian classifier often does unexpectedly well and is widely used because it often outperforms more refined classification methods. Bayes theorem delivers a way of calculating the posterior probability, P(c|x), from P(c), P(x), and P(x|c). Naive Bayes classifier assumes that the effect of the value of a predictor (x) on a given class (c) is independent of the values of other predictors. This hypothesis is called class conditional independence
Dead reckoning was precise but not precise enough. Many mistakes were made sometimes because of errors made in the predictions of the previous positions and by ignoring factors such as wind and water current. This is why the Global Positioning System is more reliable than the process of dead reckoning. While each have their pros and cons, the GPS was faster, required less thinking, reduced the possibility of getting lost, and made travelling easier. However, the GPS could have a malfunction, which is very common with any piece of technology.
All other methods of solving the task are then labeled as inefficient and ineffective. The result of this process is more efficient methods that can be completed the same way every time to produce the best outcome. This way of solving tasks is predictable and easily controlled since
According to the book, “Thinking Fast and Slow”, by Daniel Kaneman, there are two systems working in the brain, which are System 1 (fast thinking) and system 2 (slow thinking). System 1 is an automatic process, which processes in a short period of time and does not require a lot of effort or energy, such as solving easy mathematic calculation or doing easy non challenging stuffs (Kahneman 22). In contrast, System 2 is the slow controlled process, which requires a lot of effort, thinking, focus and attention. Some examples of system 2 are calculating complex equations, making serious decisions or filling out important forms (Kahneman 24). Understanding how our brain working in two systems is really useful in our lives.
With a measure pH of 11.93, calculated pH of 12.8, and a percent error of 7.29%, the results depict experimental errors. Unlike the unbuffered solutions, the buffered solutions are all accurate, with each solution containing a percent error less than 5.0%. This may be due to the fact that solving for buffer solutions is faster, requires less crunching of numbers, and therefore less opportunities for mistakes to
CHAPTER 8 MISCELLANEOUS TOPICS ________________________________________ 8.1 INTRODUCTION 8.1.1 Destructive Destructive testing, tests are carried out to the specimen's failure, in order to understand a specimen's structural performance or material performance under dissimilar loads. These tests are usually much easier to carry out, yield more information, and are easier to interpret than nondestructive testing. Destructive testing is most suitable, and economic, for objects which will be mass-produced, as the cost of destroying a small number of specimens is negligible. It is
Another disadvantage of the submaximal testing is once the individual’s VO2max level is reached the test is terminated. However, the advantage of the submaximal testing is that the equipment is less expensive compared to those needed for the maximal testing. The submaximal testing has reduced risk compared to the maximal
7.7.1 Data Owners 1. One whose going to access files, one who owns file, who requires his data to be secure. 2. Data owners are responsible for encrypting the data by generating private key. MMCOE, Department of Computer Engineering, 2015-2016 26 Regeneration of code based cloud storage 3.
4 QoS Based Protocols QoS based protocols ensure sensor nodes balance between energy consumption and pre-determined QoS metrics like delay, energy, reliability and bandwidth, before delivering data to sink node. Sensor nodes have low processing capability, low memory power and limited transmission energy in addition to energy constraints. Hence the constraints impose an important requirement on wireless sensor network QoS support mechanisms including simplicity. Traffic flows from many sensor nodes to a small subset of sink nodes in most WSN applications. QoS mechanisms must be made for unbalanced QoS-constrained traffic.
server you see the jitter is equal to 9.213 ms to 12.341 ms in table 4.1 and the throughput is equal to 1000000 bits/s Fig 4.2. Connect with 10.0.0.1 ,node h1 Transfer Bandwidth Jitter Lost 119 kbytes 967 kbits/sec 0.388 ms 0 119 kbytes 967 kbits/sec 0.543 ms 0 119 kbytes 967 kbits/sec 0.575 ms 0 118 kbytes 964 kbits/sec 0.669 ms 0 Connect with 10.0.0.3 ,node h3 Transfer Bandwidth Jitter Lost 89.0 kbytes 729 kbits/sec 9.213 ms 0 58.9 Kbytes 482 kbits/sec 11.470 ms 0 58.9 Kbytes 482 kbits/sec 12.339 ms 0 58.9 Kbytes 482 kbits/sec 12.536 ms 0 60.3 Kbytes 482 kbits/sec 12.339 ms 0 60.3 Kbytes 482 kbits/sec 12.536 ms 0 58.9 Kbytes 482 kbits/sec 12.629 ms 0 1.19 Mbytes 623 kbits/sec 12.341 ms 0 Table 4.1: the result of the first experiment at the server 4.3.3