Machine learning

Effectiveness of Rote learning and Narrative pedagogy as Pedagogic Techniques in Congregational Life Christian educators, as a God´s chosen to evangelize people, are always looking for the most effective way to develop spirituality in their congregation. Despite didactic techniques has been evolving for centuries, providing us many different pedagogy strategies, it is still a challenge for Christian educators deciding which is the most effective pedagogical method in order to fulfill the God’s…

This section demonstrates and validates the proposed distributed multi-agent area coverage control reinforcement learning algorithm (MAACC-RL) via numerical simulations. The approximate/adaptive dynamic programming (ADP) algorithm implemented for MAACC-RL uses a recursive least-squares solution. To demonstrate the effectiveness of the proposed MAACC algorithm, a MATLAB simulation is conducted on a group of five agents placed on a 2D convex workspace Ω⊂R^2 with its boundary vertices at (1.0,0.05)…

Our minds are very powerful but artificial intelligence can become just as powerful and be more dominant. Artificial intelligence (AI) are slowly becoming a part of our everyday lives. Powerful developments are creating smart computer systems. Computer systems are becoming self-managed such as “dumb” computers will become more intelligent because “autonomic computing” will replace it. In addition, the public needs to keep up with technology to stay productive and relevant in the world. It is…

The idea of an uncertain future is undeniably a dangerous one. Without the ability to forge your own futuristic goals, humanity would be continuously hindered by the inability to contribute to society in a unique way. Ironically enough, due to the rising approach of advanced technologies such as robots, it can be hinted that the future of the world has already been settled, however, humanity has a tendency to deem it uncertain due to the potential psychological setbacks it would implant upon…

Traveling Salesman Problem (TSP) is one of combinatorial optimization problems. X TSP is NP-hard problem which defined as a set of cities and each city should be visited once with minimum tour length. This paper solved this problem using Firefly Algorithm (FA) and k-means clustering by three steps: cluster the nodes, finding optimal path in each cluster and connect the clusters. The first step is to divide all nodes into sub-problems using k-means clustering, the second step is to use FA to find…

Hue, Saturation, and Intensity are represented as HSI in HSI colour model. The HSI model is used as an alternative to, or alongside the RGB representation. In this model, the hue of a colour is its angle measure on a colour wheel. Pure red have hue value as 0°, pure green have hue value as 120°, and pure blues have hue value as 240°. Neutral colours like white, grey, and black are set to hue value 0° for feasibility. Intensity is total brightness of the colour and also defined numerically as the…

Data, information, knowledge and wisdom are referred to as the DIKW hierarchy model cited in Figure 1. This visual metaphor illustrates large amounts of data at the bottom of the pyramid which are reduced to smaller amounts of information consequently creating more condensed knowledge and even smaller wisdom. For Ackoff (1989) data is a symbol and does not have meaning on its own. Information emerges from data that has been processed and hence data has now been given meaning. Knowledge is built…

development, due to fears on controlling and using these technologies. Many fear that these technologies will develop into unstoppable killing machines like in the science-fiction movie “Terminator”. The problem is that this technology…

Results The results focus on the effect of the personalized mus- cle geometry on the force generation in the lower limb. DistMo defines the model personalized with the PA ob- tained with the straight line approach, while CenMo describes the model personalized with the PA obtained with the centroid line approach. GenMo represents the model that used the generic values of the PA from OpenSim (PARF = 13.9◦, PAV I = 4.5◦, PAV L = 18.4◦, PAV M = 29.6◦). The inter-model force and moment variations…

In order to construct the interdependent modular networks, first, two isolated networks labeled A and B was generated and both A and B are small-world modular networks[3, 46], where each modular has the Watts-Strogatz(WS) networks structure[5]. Without loss of generality, the two networks are designed with the same number of nodes NA=NB=N. Then, we coupled the two isolated networks with a certain preferences. Watts and Strogatz in their seminal paper discovered that many real-world networks are…