The time dilation formulas of both the specific relativity and the general relativity could be understood as children of a common expression that uses a factor dependent on the specific energy. Surprisingly when such factor is used to define the relativistic mass, the equation that arises is an extraordinary approximation of the mass and energy relation. An entangled mathematical perspective of both time and mass that opens up again the question of what their definition really is, and which are the factors that modify such variables.
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.
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 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 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.
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.
Shortly after the comparative analysis of Codding et al. was published, I prepared a comment on the article that I submitted for publication. In response to feedback from the editors, I eventually revised the manuscript substantially. That revised version has now been published. In this paper, I share the original submission of the comment, which focuses on important considerations for future studies of risk-‐ sensitive foraging. Meanwhile, Codding and his colleagues have published a response to my comment. They exhibit some confusion about my position, which they describe as “paradoxical.” In a reply to their response, I have therefore added some clarifying remarks at the end of this paper
This paper presents a prime aspect of Augmented and Virtual Reality development in the field of healthcare. We explored several recent works and articles and a comparison between generic application development and immersive technology-based application is included. The paper talks about more practical approaches that can be taken to enhance the effectiveness of the application.
The resources (infrastructure) to complete this study are provided by the University of Cincinnati’s Center for Simulation and Virtual Environment Research (UCSIM). And several experiments and projects in the field of health care are used as a reference to make conclusions.
Ideation flexibility is the ability to shift between a designer’s preferred and non-preferred ways of generating solutions as required by the presented task. There are many tools that exist to support ideation; however, there is a lack of research defining how to facilitate ideation flexibility and how to support designers in this process through use of such tools. In this paper, we report on the development of a new tool, the "Incremental to Radical Heuristics" (I2Rh), which may provide inspiring prompts for ideation, ranging from more incremental to more radical examples. We tested the use of this I2Rh with a small set of industrial design and architecture students and aim to report on ways in which designers with varying cognitive styles perceive and apply these heuristics and further the impact of the heuristics on the students’ problem solving processes and ideation outcomes. Preliminary results demonstrate that more innovative students found the adaptive applications of the heuristics to trigger more novel solutions, whereas the more adaptive students found that the innovative applications to be more inspiring.
Ideation is critical as it allows designers to form many diverse ideas to choose from and eventually test and validate them (Sheppard, Macatangay et al. 2009). However, in many cases, designers find it difficult to come up with many diverse ideas as a result of fixation they experience on particular ideas (Crilly 2015). Being a flexible designer means being able to move from one solution to another, in order to produce the most promising solutions for the given context. In this movement, idea generation methods play a critical role as facilitators of this movement while pushing designers to think differently (Silk, Daly et al. 2014). The focus of the proposed work is ideation flexibility (Yilmaz, Daly et al. 2014), defined as the ability to ideate in both incremental and radical ways – or, more precisely, to ideate along a continuum of thinking between the two, depending on the needs of the problem. Building on the theoretical foundation of Kirton’s adaption-innovation theory (Kirton 1976), we defined the ideation success as a designer’s ability to move between his/her preferred and nonpreferred ways of generating ideas as required in the design brief. To specifically target ideation flexibility, we took an empirically-driven and validated ideation tool, Design Heuristics (Yilmaz, Seifert et al. 2016), and modified it based on the Kirton’s adaptiveinnovative theory. This revised set, called the "Incremental to Radical Heuristics" (I2Rh), illustrates heuristics’ application both incrementally and radically to the same example design problem. I2Rh is intended to help designers execute an ideation strategy based on prompts, examples, and directions to incorporate more incremental or more radical changes to their naturally preferred ways of generating ideas, through facilitating flexible thinking. Our goal in this paper was to investigate how designers with different cognitive styles perceive and apply these revised heuristics and their impact on the students’ ideation outcomes.
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.