A Dynamic Inertial Weight Strategy in Micro PSO for Swarm Robots

Wireless Personal Communications - A relatively new area of research and development is Swarm Robotics. It is a part of the swarm intelligence field. In the proposed paper, we shall use swarm...     

Modelling the steady state response of CuAlNi/polyimide bimorph actuator

Microsystem Technologies - Microactuators developed from shape memory alloy (SMA) thin films on flexible substrates find good applications in MEMS design. This article presents the models of the...     

Differential resistance feedback control of a self-sensing shape memory alloy actuated system

There is a growing trend towards miniaturization, and with it comes an increasing need for miniature sensors and actuators for control. Moreover situations occur wherein implementation of external physical sensor is impossible, here self-sensing lends its hand appropriately. Though self-sensing actuation (SSA) is extensively studied in piezoelectric, exploring this property in shape memory alloy is still under study. A simple scheme is developed which allows differential resistance measurement of antagonistic shape memory alloy actuated wires to concurrently sense and actuate in a closed loop system. The usefulness of the proposed scheme is experimentally verified by designing a one link manipulator arm and is performed in a real time tracking control. In a practical implementation of the self-sensing actuator a newly proposed signal processing electronic circuit is used for direct differential resistance feedback control upto a bandwidth of 1.8 Hz. The control design uses fuzzy PID which requires no detailed information about the constitutive model of SMA. At an operating frequency of 1 Hz, the result of the self-sensing feedback control with an angular tracking accuracy of ±0.06° over a movement range of ±15° is demonstrated.     

Building a fuzzy logic-based McCulloch-Pitts Neuron recommendation model to uplift accuracy

The Journal of Supercomputing - Recommender system is one of the most popular technique used for information filtering. It helps in discovering hidden knowledge patterns from a large set of...     

Output tracking control of switched nonlinear systems with multiple time-varying delays

In this paper, the output tracking control problem for a class of switched nonlinear systems with multiple time-varying delays is studied based on equivalent-input-disturbance (EID) approach. More precisely, with the use of suitable Lyapunov-Krasovskii functional together with average dwell-time technique, an output feedback tracking controller is designed which makes that the states of resulting system can asymptotically track the desired trajectory. Further, the EID estimator is implemented to reject both matched and unmatched disturbances effectively without requiring any prior knowledge of the disturbances. Simulation results are presented to illustrate the effectiveness and potential of the developed EID-based output tracking control design technique. The results reveal the fact that the tracking controller based on EID provides a better tracking performance than the feedback controller based on sliding mode technique.     

RETRACTED ARTICLE: An Energy Efficient Framework for Densely Distributed WSNs IoT Devices Based on Tree Based Robust Cluster Head

With the development of the internet of things, which is widely applied not only to everyday objects but also to industrial areas, the production of big data is accelerating. To provide intelligent services without human intervention in the internet of things environment, intelligent communication between objects becomes the key, and since the failure of the mechanical equipment attached to the sensor causes malfunction of the object and product failure, big data analysis to predict equipment failure is becoming more important. The purpose of this study is to propose a model for predicting mechanical equipment failure from various sense data collected in the manufacturing process. This study constructed a RHadoop-based big data platform to distribute a large amount of datasets for research, and performed logistic regression modeling to predict the main variables causing the failure from various collected variables. As a result of the study, the main variables in the manufacturing process that cause equipment failure were derived from the collected sense data, and the fitness and performance evaluation for the prediction model were made using the ROC curve. As a result of the performance evaluation of the prediction model, the ROC curve showed a fairly high prediction accuracy with AUC close to 1. The results of this study are expected to be applicable to the prediction of malfunctions, product failure, or abnormal communication between objects due to miscellaneous product faults in our daily lives in the internet of things environment.     

Synthesis of conjugated polyphenylacetylenes with redox active ferrocenyl end-groups

Summary Metathesis polymerization has been employed for the synthesis of polyphenylacetylene (PPA) containing redox-active ferrocene groups at both ends. Two reversible one electron oxidation waves were detected in CV. The ΔE values decreased with increase in chain length of the polymer, indicating that the metal-metal interaction decreases by increasing the chain length. Received: 19 March 1999/Revised version: 7 May 1999/Accepted: 11 May 1999     

Photocatalytic performance of particulate semiconductors under natural sunshine—Oxidation of carboxylic acids

With natural sunlight, particulate TiO₂ (anatase), CuO, ZnO, Pb₂O₃, PbO₂ and Bi₂O₃ photomineralize oxalic acid and the mineralization depends linearly on the acid concentration and the surface area of the catalyst bed. Oxygen is essential for mineralization and the metal oxides show sustainable photocatalysis. While oxalic acid is effectively mineralized, the oxalate ion is not so. Pre-sonication fails to enhance the photocatalytic efficiencies and the system does not respond to application of a potential bias for enhancement of photocatalysis. The photocatalytic performance is of the order ZnO>CuOTiO₂Bi₂O₃Pb₂O₃>PbO₂ and the ease of degradation is formic acid>oxalic acid>acetic acid>citric acid.     

Microwave assisted polymerisation of phenylacetylenes

Summary. Methathesis Polymerisation of phenylacetylenes using in situ generated (arene)M(CO)₃ complexes under unconventional microwave energy condition was achieved successfully. The reaction time was reduced to 1 hour in contrast to refluxing conditions of 24 hours. Received: 2 May 1997/Revised: 7 July 1997/Accepted: 9 July 1997