A Novel and Modern Comprehensive Theory to Create an Anthropocentric Architecture Based on Laws of Chaos (Part II): Patterning
The outline of the determined boundary of the Iranian snowflake was formed in the previous chapter. Now, another quadrangle rotation around whose axis perfects the main context of the architecture is introduced: the fancy of the work. The mind of the architect is required to have an imagination based on the subject of the design in regards to the users to create the initial embryo in the scope of the first stage’s conditions to create the entire work. This is the most sensitive part of the designing and leads to the fundamental difference in the works of designers because as we mentioned, chaotic systems are extremely sensitive to initial conditions and any slight difference in initial conditions of the formation of the system can lead to fundamental transformations in the final product. This stage is the stage of patterning or creation of fancy. The term fancy is chosen to define the mental pattern founding the design because it simultaneously covers cogitation, concept, imagination and fantasy.
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A novel approach for the prediction of glucose concentration in type 1 diabetes ahead in time through ARIMA and differential evolution
People affected with Diabetes Mellitus use Continuous Glucose Monitoring (CGM) devices for monitoring of their blood glucose level. The currently available CGM devices show the current glycemic level of the user and produce alarm whenever the glycemic level exceeds the normal range or is in increasing or decreasing trend. Some devices do prediction of the glucose value some time slots ahead and give an alarm of the impending Hypo/ Hyper glycemia situation. But the true scenario is that the success is only 50% due to false alarms or missing alarms. With the understanding that CGM data do have errors when the rate of change is high, in our study, we have tried the prediction of glucose levels ahead in time without intervention through Auto Regressive Integrated Moving Average (ARIMA) Model with its parameters optimized with Differential Evolution. The Method is validated with Simulated data obtained from the web based Diabetes Educator. First half of the data set is used for training and the remaining half is used for testing. Mean Absolute Difference (MAD) between the predicted and actual glucose values is used as the performance metric. The experiments conducted showed promising results with MAD in the range of 6 to 10.3. The prediction accuracy can be improved by increasing the number of iterations and the optimum selection of scaling factor.
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A Rare Case Report on Tubercular Mastitis Presenting as Breast Abscess
A developing nation like ours has been suffering with a tremendous cases of tuberculosis nationwide, in all forms expected. We here highlight a case of Tuberculosis of breast tissue in an adolescent girl which is rare as a presentation and was mis-lead and treated as a breast abscess of other origin. Confirmatory findings with use of tools like ultrasonography and biopsy made us to final the diagnosis and put the patient on anti-tubercular drugs.
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A review on production of biogas, fundamentals, applications & its recent enhancing techniques
Biogas, a clean and renewable form of energy could very well substitute (especially in the rural sector) for conventional sources of energy (fossil fuels, oil, etc.) which are causing ecological–environmental problems and at the same time depleting at a faster rate. Despite its numerous advantages, the potential of biogas technology could not be fully harnessed or tapped as certain constraints are also associated with it. Most common among these are: the large hydraulic retention time of 30–50 days, low gas production in winter, etc. Therefore, efforts are needed to remove its various limitations so as to popularize this technology in the rural areas. Researchers have tried different techniques to enhance gas production. This paper reviews the various techniques, which could be used to enhance the gas production rate from solid substrates.
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Alloys: Their Need for the Manufacturing of Metal Spare Parts in Nigeria
The industrial/military power of any nation is attributed to its ability to produce steel. Alloys are as a result of the combination of a base material with other constituent elements. It is therefore interesting to note that for this well researched paper metallic alloys are a combination of a base metal and other constituents. The main constituents here are the carbon. It is the addition of carbon that change metals to an engineering material, thus, various constituents of carbon carbides can be constituted to give different categories of steel alloys which can be used to produce different spare parts. With various production methods, these steel alloys can be better appreciated by what it can be used to accomplish.
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An ANN based mobile robot control through voice command recognition using Nepali language
The analog speech signal can be used for interacting with machines, computers or robots. In this case, speech algorithm is capable to recognize the voice commands that are given as inputs to a mobile robot through wireless XBee modules. It is actually a form of Word Recognition. In this presented paper, a voice command recognition system is going to be developed by using Artificial Neural Network (ANN). The Commands that used here are all in Nepali Languages (used in North East India). Linear predictive coding (LPC) has been applied to represent speech signal in frames in early stage. Features from the selected frames are used to train multilayer perceptrons (MLP) using back-propagation. The same routine is applied to the speech signal during the recognition stage and unknown test patterns are classified to the nearest patterns. In short, the selected frames represent the local features of the speech signal and all of them contribute to the global similarity for the whole speech signal. The analysis, design and development of the automation system are done in MATLAB, in which an isolated word speaker independent digits recogniser is developed.
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An Interval Parametric technique for solving fuzzy matrix games
The aim of this paper is to develop a methodology for solving matrix games with fuzzy payoffs. Here, a fuzzy matrix game has been considered and its solution method has been proposed using interval parametric technique. This technique is based on parametric representation of interval number. In this technique, the fuzzy number has been converted into interval number using interval approximation of fuzzy number and the interval number has been presented to its parametric interval functional form. Then the corresponding matrix game has been converted into crisp game using the said technique. The value of the matrix game for each player is obtained by solving corresponding crisp game problems using the existing method. Finally, a numerical example has been considered and solved in support of the solution method.
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Analysis of mandatory retirement and social security law from the perspective of employment and other essential functions in society
Retirement is of the categories, which contains widely range in studies and involves scientific and legislative societies of each country to itself. In numerous discussions with pension matters; discussion about mandatory retirement age, because of its closeness with employment; more than other retirement issues is important and it more worthy to pay attention. Also, the mandatory retirement age increase or decrease due to its different effects on different domains (such as job or income and social security organization losses) is quite a challenging and reviewable matter. Accordingly, we have tried to engage to the subject of compulsory retirement age and factors affecting its determination and to provide a good model for legislation in this field.
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Analysis of Test Case Prioritization in Regression Testing Using Genetic Algorithm
Testing is an accepted technique for improving the quality of developed software With the increase in size and complexity of modern software products, the importance of testing is rapidly growing. Regression testing plays a vital role for software maintenance when software is modified. The main purpose of regression testing is to ensure the bugs are fixed and the new functionality that are incorporated in a new version of a software do not unfavorably affect the correct functionality of the previous version. So to revalidate the modified software, regression testing is the right testing process. Though it is an expensive process which requires executing maintenance process frequently but it becomes necessary for subsequent version of test suites. To evaluate the quality of test cases which are used to test a program, testing requires execution of a program. In this paper we propose a new test case prioritization technique using genetic algorithm. The proposed technique separate the test case detected as severe by customer and among the rest test case prioritizes subsequences of the original test suite so that the new suite, which is run within a time-constrained execution environment, will have a superior rate of fault detection when compared to rates of randomly prioritized test suites. This experiment analyzes the genetic algorithm with regard to effectiveness and time overhead by utilizing structurally-based criterion to prioritize test cases.
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Application of Flipped Classroom in Physical Education
The traditional physical education teaching mode limits the main demands of students and cannot meet the requirements of the society for physical education. Flipped classroom teaching mode, as a new teaching mode, has its advantages fully reflected. In this paper, the advantages and disadvantages of flipped classroom teaching mode and traditional teaching mode are compared by means of literature data method and logical analysis, and the specific steps and principles for attention are integrated into physical education teaching, hoping to improve the level of physical education.
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