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Making a Green Machine
Consider an empty bottle or can, one of the hundreds of billions of beverage containers that are discarded worldwide every year. Empty containers have been at the center of intense political controversies, technological innovation processes, and the modern environmental movement. Making a Green Machine examines the development of the Scandinavian beverage container deposit-refund system, which has the highest return rates in the world, from 1970 to present. Finn Arne Jørgensen investigates the challenges the system faced when exported internationally and explores the critical role of technological infrastructures and consumer convenience in modern recycling. His comparative framework charts the complex network of business and political actors involved in the development of the reverse vending machine (RVM) and bottle deposit legislation to better understand the different historical trajectories empty beverage containers have taken across markets, including the U.S. The RVM has served as more than a hole in the wall--it began simply as a tool for grocers who had to handle empty refillable glass bottles, but has become a green machine to redeem the empty beverage container, helping both business and consumers participate in environmental actions.
eBook
Container gardener's handbook : pots, techniques, and projects to transform any space
\"With over 40 projects to make your own creative containers, Container Gardener's Handbook will show you how to use overlooked pots to their full potential and transform your garden--whether you've only got a modest balcony, small square of patio or just a windowsill.\"-- Provided by publisher.
Book
A vision-based container position measuring system for ARMG
This paper analyzes the problems of existing container positioning methods and proposed a vision-based container position measuring system to provide precise parameters for container lifting operations. This system uses camera to get container information, then detects container corners by the method that combined with convolutional neural network and traditional image processing algorithm. This system is used to provide specific parameters associated with container lifting operation. In the first of detection, it uses the modified SSD (Single Shot MultiBox Detector) neural network to detect the coarse position of container corners in the image, second stage detection uses the usage of rectangle fitting to detect the precise position of corner holes in the coarse position. In the last step the offset distance and deflection angle were calculated by precise corner position. The experiment shows the detection rate of the proposed system reach 94%. The positioning errors between 14.3 and 19.6 mm for a frame rate of 10 fps are obtained.
Journal Article
Succulent container gardens : design eye-catching displays with 350 easy-care plants
In this inspiring compendium, the popular author of \"Designing with Succulents\" provides everything beginners and experienced gardeners need to know to create stunning container displays of exceptionally waterwise plants. The extensive palette includes delicate sedums, frilly echeverias, cascading senecios, edgy agaves, and fat-trunked beaucarneas, to just name a few. Easy-to-follow, expert tips explain soil mixes, overwintering, propagation, and more.
Book
An Approach to Optimize Container Locations in a Containership With Electre III
A container ship is a vessel designed to carry containers and is now the main mode of sea freight in commercial ports. It is an integral part of world trade. Upon arrival at a seaport, the container ship stays inactive at the dock for the duration of loading and unloading operations. Handling operators at the port terminal are provided with a schedule showing the dates of loading and unloading of containers, as well as their locations in the container ship. An optimal location for a container in a container ship is very important for companies because this operation reduces transport costs. In this work, the authors propose an approach to solve the container placement problem through the description of a decision model that allows solving and optimizing the available storage space on a container ship. The objective of this work is to find the best location for all types of containers in the container ship based on the multi-criteria methods Electre III (elimination and choice expressing reality); in this contribution, four criteria are used: the container destination, the container weight, the departure date of a container, and the container type.
Journal Article