Hierarchical Collaborative Hyper-parameter Tuning

Hyper-parameter Tuning is among the most critical stages in building machine learning solutions. This paper demonstrates how multi-agent systems can be utilized to develop a distributed technique for determining near-optimal values for any arbitrary set of hyper-parameters in a machine learning model. The proposed method employs a distributedly formed hierarchical agent-based architecture for the cooperative searching procedure of tuning hyper-parameter values. The presented generic model is used to develop a guided randomized agent-based tuning technique, and its behavior is investigated in both machine learning and global function optimization applications. According the empirical results, the proposed model outperformed both of its underlying randomized tuning strategies in terms of classification error and function evaluations, notably in higher number of dimensions.

Stealth UAV through Coanda Effect

This paper uses Coanda Effect to reduce motors, the source of noise, and finds low noise materials with sufficient lift force so that it can achieve acoustical stealth UAVs.According to NASA research [1], the noise of UAVs is better heard to people. But there must be some moments when we need to operate the drones quietly, so how can we reduce the noise? In previous research, there have also been steady attempts to produce UAVs using Coanda Effect, but have never tried to achieve Acoustic Stealth through Coanda UAVs. But Coanda Effect uses only one motor and is structurally quiet. So we tried to find quiet methods (materials, structures) while at the same time having sufficient stimulus through the Coanda Effect. Verification went through experiments. The control group used the most common type of Quadrone, and determine if the hypothesis is correct by testing various structures and materials under the same conditions, and measuring noise. UAVs using Coanda Effect are not of any shape or structure that is not changeable, and internal space is also empty. That's why the Coanda Effect UAV we present can be improved through follow-up research. That's why the Coanda Effect UAV could open up a new frontier for the Stealth UAVs.