A formula has been developed that defines the relativity of time in a novel approach. In the present paper, this is particularized for cases of temporary dilation due to speed and gravity. Using the previous equation, that serves as basis of the “Time Theory” proposed, an interpretation of the nature of black holes, their formation, growth, and dimension can be developed. Which ultimately leads to an alternative understanding of mass and energy.
A new formula has been developed that determines the passage of time. In the paper, this is particularized for cases of temporary dilation due to speed and gravity.
Additionally, using the previous equation, an interpretation of the nature of black holes, their formation, growth, and dimension can be developed.
Moreover, and based on all of the above, a different way of understanding mass and space is proposed. Which ultimately implies an alternative expression that relates mass and energy.
The development of complex and dependable systems like autonomous vehicles relies increasingly on the use of systems modeling language (SysML). In fact, SysML has become a de facto standard for systems engineering. With model-driven engineering, a SysML model serves as a reference for the early defect detection of the system under design: the earlier the errors are detected, the less is the cost of handling the errors. Mutation testing is a fault-based technique that has recently seen its applications to SysML behavioral models (e.g., state machine diagrams). Specifically, a system's state-transition design can be fed to a model checker where mutants are automatically generated and then killed against the desired design specifications (e.g., safety properties). In this paper, we present a novel approach based on process mining to improve the effectiveness and efficiency of the SysML mutation testing based on model checking. In our approach, the mutation operators are applied directly to the state machine diagram. These mutants are then fed as traces into a process mining tool and checked according to the event logs. Our initial results indicates that the process mining approach kills more mutants faster than the model checking method.
It is shown in present study that Rainflow method is unable to accurately estimate fatigue life ofcomponents under random loading, almost always. The inconsistencies between results of Rainflowmethod and hysteresis curve are also discussed. Alike the Peak counting method, it is shown that Shadowmethod doesn’t consider the possibility of deformation within individual cycles. Hence, Moshrefifar andAzamfar method is proposed as a novel technique having accurate results in different analytical condi-tions which are in good consistence with results obtained from hysteresis curves. Authors finally proposean algorithm as well as a C language program for this method.
This data set contains ultrasound IQ echo data with corresponding co-registered scanned, TTC-stained tissue sections of rabbit liver with VX2 tumor, after in-vivo ultrasound ablation controlled by echo decorrelation imaging. IQ data and associated parameters are in files *data.mat; corresponding tissue sections are in files *.png, and trials parameters are provided in Parameters*.mat and *.csv files. Further details are provided in the included dissertation (Abbass 2018): see chapter 4, figures 4.4-4.8, and the Appendix.
This project aimed at effectively implementing eye tracking MATLAB. The team created an eye tracking program that uses a webcam to locate where a person is looking on a computer screen. The program was tested with a simple experiment that presented the user with a set of colors and found which colors the user looked at most.
The purpose of this project is to consider and evaluate the economic attractiveness of a process producing 250,000 lb/h of acetic acid by the selective carbonylation of methanol via carbon monoxide with the use of an iridium tri-iodide catalyst. Initial cost estimates of this process will be completed prior to the completed rigorous design to ensure the process is economically viable and meets product specifications. A full cost analysis will then be made on the initial design to further verify the process will meet product specifications and is economically attractive to the business. A recommendation to continue investigating will be made based on the analysis of the investment cost and annual operating costs of this reaction/separation system.
An economic analysis was performed on the selected design. The total capital cost for this project is $145 million, with a yearly utility and incremental cost of $62 million and $90 million, respectively. The required ten-year return on investment was found to be 15%, when the Acetic Acid is sold at a price of $437 /ton. When the Acetic Acid is sold at $745/ton (achieves 15% 1-year ROI), an ROI of 547% is achieved for a 10-year period. In order to achieve a five-year ROI of 15%, the selling price of Acetic Acid is only increased to roughly $455/ton.
Vibro-separators are widely used to separate solid particles from slurries and/or to
size segregate the dried product. In this thesis, a mathematical model was developed to
theoretically evaluate the vacuum drying of the collected solid on the screen of a vibro-separator.