Search

This research aims to analyze the relationship between the application of realistic mathematics principles and academic performance in mathematics in aspiring students engineering. The participants were 61 pre university students candidates to the engineering careers (28 men (45.9%) and 33 women (54.1%)) between 15 and 26 years old (Mage = 17.82, SD = 1.76). The results showed, the preference of the students for applying the Realistic Mathematical Education Principles in their studies. One found that the reality principle, of guided reinvention and interaction principle was related with the interconnection principle. These findings indicate that the students learn the mathematics taking as starting point the reality principle, generating your own problem solving strategies, learning cooperatively and relating the diverse mathematical areas. Finally, the application of the Realistic Mathematical Education Principles was not related to the academic performance in mathematics.

The purpose of this study was to identify the relationship between predictor factors of proactivity and leadership in university students of the career of business administration. The sample was of 152 students of the career of business administration 82 men (53.9%) and 65 women (42.8%). The sample were between the 16 to 44 years old (MeanAge = 18.86, SD = 3.70) and of they 112 (74%) were of capital city (Lima-Peru) and 33 (22%) were of province. In the results of the analysis of correlations, the mother’s education and father’s education demonstrated a light positive relationship with the leadership. Finally, proactivity demonstrated a strong and positive relationship with the leadership. Finally, the age predicts negatively the proactivity, and proactivity predicts positively the leadership.

The study objective was to identify the influential factors in the development of the entrepreneurship self-efficacy in students of international business administration of a private university of Lima (Peru). The sample belonged to 110 students, 50 women (45.5 %) and 60 males (55.5 %) between 17 and 32 years of age (M age = 20.06, SD = 2.86). The results indicated the students possess an average level in the dimensions of the enterprising self-efficacy and there are not significant differences for genre. Also, it was observed the high educational levels of the father predict the efficacy to define the essential objectives of a business. Then, the being of the capital city predicts the promotion of an innovative labor environment. And finally, the self-efficacy to define the central objectives of a business predicts positively the suitable human resource management.

Energy is one of the most important resources in wireless sensor networks (WSN). Energy directly translates to lifetime which is an important ingredient of performance control in WSNs. We use an idealized mathematical model to study the impact of routing on energy consumption. We find explicit bounds on the minimal and maximal energy routings will consume, and use them to bound the lifetime of the network. We demonstrate the practical relevance of our theoretical results by experimenting with two different MAC layers, GinLITE, a MAC protocol explicitly designed for performance control, and ContikiMAC.

In this paper we deal with the problem of automatically optimizing the gait of a robot for forward walking speed. Each different walking surface and/or the wear and tear of the robots determines the speed of the robot. This means that a specific gait for one surface may not be valid on another surface or even on the same surface some time later. Given a parametrized walk designed for the robot and one specific robot, we approach the problem of searching over the space of gaits for this robot by using an estimation of distribution algorithm and our knowledge of the problem, which allows us to considerably reduce the space of gaits over which the algorithm searches. We have implemented and tested our method using the Sony AIBO ERS-7 robot, significantly improving on our previous gait in a short period of training time.

In this paper we present a method for experimental lifetime measurements of sensor networks. Despite the importance of experimental validation, none of the lifetime models proposed so far has been validated experimentally. One of the reasons for the absence of practical validations might be the long lifetime of batteries which make the validation of the proposed models non-trivial and time consuming. Our solution enables validation of lifetime models within a reasonable amount of time. We also use our method to validate a simple mathematical model that provides bounds on the lifetime of sensor networks.

Energy conservation plays a crucial in wireless sensor networks since such networks are designed to be placed in hostile and nonaccessible areas. While battery-driven sensors will run out of battery sooner or later, the use of renewable energy sources such as solar power or gravitation may extend the lifetime of a sensor network. We propose to utilize solar power in wireless sensor networks and extend LEACH a well-known cluster-based protocol for sensor networks to become solar-aware. The presented simulation results show that making LEACH solar-aware significantly extends the lifetime of sensor networks.