In this paper we address the problem of multiple odor source localization using mobile robot swarms modelled as network robot systems. These networked robots are used to locate multiple radiation/odor sources like oil spills, leaks in pressurized systems, hazardous plumes/aerosols resulting from nuclear/chemical spills, deepsea hydrothermal vent plumes, fire-origins in forest fires, and hazardo...

Software defect prediction has turned into an expected requirement for organizations to guarantee quality and reliability of software products. The early defect prediction can encourage managers to amend and improve reliability of product. Methodologies, for example, machine learning and neural network have ended up as eminent solution for training and classification of data and can be importan...

We have developed a position-sensitive scintillation camera with a large area absorber for use as an advanced Compton gamma-ray camera. At first we tested GSO(Ce) crystals. We compared light output from the GSO(Ce) crystals under various conditions: the method of surface polishing, the concentration of Ce, and co-doping Zr. As a result, we chose the GSO(Ce) crystals doped with only 0.5 mol% Ce,...

Megaconstellation networks, represented by Starlink and OneWeb, have become a promising solution for the wide-area Internet of Things (IoT). IoT messages collected satellite can be routed to ground gateway via multiple intersatellite link (ISL) relays then access network. Compared traditional constellations, megaconstellations with massive satellites require more ISL that are greatly affected n...

job shop scheduling problem has significant importance in many researchingfields such as production management and programming and also combinedoptimizing. job shop scheduling problem includes two sub-problems: machineassignment and sequence operation performing. in this paper combination ofparticle swarm optimization algorithm (pso) and gravitational search algorithm(gsa) have been presented f...

this work presents a hybrid method for motif discovery in dna sequences. the proposed method called spso-lk, borrows the concept of chebyshev polynomials and uses the stochastic local search to improve the performance of the basic pso algorithm as a motif finder. the chebyshev polynomial concept encourages us to use a linear combination of previously discovered velocities beyond that proposed b...

A high sensitivity, high resolution brain PET scanner has been developed. The scanner comprises 58 rows of 320 4 x 4 x I O mm3 gadolinium orthosilicate (GSO) crystals, coupled to a continuous light guide that is sampled by 288 39-mm photomultiplier tubes in a hexagonal grid. A distortion removal algorithm has been developed to remove position non-linearities and to identify individual crystal r...

With the advent of Industry 4.0 (I4.0), predictive maintenance (PdM) methods have been widely adopted by businesses to deal with condition their machinery. help I4.0, digital transformation, information techniques, computerised control, and communication networks, large amounts data on operational process conditions can be collected from multiple pieces equipment used make an automated fault de...