Machine Vision Optimization using Nature-Inspired Algorithms to Model Sunagoke Moss Water Status
نویسندگان
چکیده
منابع مشابه
Nature-Inspired Optimization Algorithms
The performance of any algorithm will largely depend on the setting of its algorithmdependent parameters. The optimal setting should allow the algorithm to achieve the best performance for solving a range of optimization problems. However, such parameter tuning is itself a tough optimization problem. In this chapter, we present a framework for self-tuning algorithms so that an algorithm to be t...
متن کاملWater Irrigation Control for Sunagoke Moss Using Intelligent Image Analysis
A novel technique suitable for noninvasive measurements of moss water content is presented. In this paper, colour image sensing is applied for measuring moss water content. Sunagoke moss Rhacomitrium canescens has been utilized as an active greening material to mitigate the urban heat island effect. The goal of this paper is to develop an intelligent image analysis system for water irrigation o...
متن کاملMetaheuristic Optimization: Nature-Inspired Algorithms and Applications
Turing’s pioneer work in heuristic search has inspired many generations of research in heuristic algorithms. In the last two decades, metaheuristic algorithms have attracted strong attention in scientific communities with significant developments, especially in areas concerning swarm intelligence based algorithms. In this work, we will briefly review some of the important achievements in metahe...
متن کاملRouting Improvement for Vehicular Ad Hoc Networks (VANETs) Using Nature Inspired Algorithms
are a subset of MANETs in which vehicles are considered as network clients. These networks have been created to communicate between vehicles and traffic control on the roads. have similar features to MANETs and their main special property is the high-speed node mobility which makes a quick change of the network. The rapid change of network topology is a major challenge in routing. One of the we...
متن کاملDNA Fragment Assembly Using Optimization From nature inspired algorithms to formal methods
The DNA fragment assembly is an important phase required to obtain complete genomes. Optimization using nature inspired algorithms has been proposed by several authors. We present another nature inspired algorithm based on Particle Swarm Optimization and Differential Evolution. These algorithms are compared using a set of common benchmarks and show that our proposed algorithm has some advantage...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: International Journal on Advanced Science, Engineering and Information Technology
سال: 2016
ISSN: 2460-6952,2088-5334
DOI: 10.18517/ijaseit.6.1.523