scholarly journals An Intelligent Waste Removal System for Smarter Communities

2020 ◽  
Vol 12 (17) ◽  
pp. 6829 ◽  
Author(s):  
Qi Zhang ◽  
Hongyang Li ◽  
Xin Wan ◽  
Martin Skitmore ◽  
Hailin Sun
Keyword(s):  
Development Strategy ◽  
Waste Disposal ◽  
Smart Cities ◽  
Scientific Data ◽  
Random Trees ◽  
Urban Waste ◽  
Planning Algorithm ◽  
Waste Removal ◽  
Intelligent Technology ◽  
Removal System

With the continuous progress of urbanization, the discharge of municipal solid waste has profoundly affected human production/living and social ecological health, and waste disposal has become one of the key issues all over the world. In the context of intelligent technology, this paper innovates the way of waste disposal according to the development direction of a smart city and the requirement of sustainable development strategy. An intelligent urban waste removal system is developed using a ROS (Route Operation System) robot operating system and RRT (Rapid Exploration of Random Trees) path planning algorithm. With a background of data management, the entire process of intelligent automatic waste removal is triggered by automatic communication from individual waste bins to a waste collection vehicle (WCV) where the bin needs to be emptied, and the automatic collection and transportation by the WCV in response. In combination with the IoT (Internet of Things), the system provides scientific data support for the intelligent layout of communities and even urban waste bins to greatly enhance the development of intelligence communities and smart cities.

Smart Prediction and Monitoring of Waste Disposal System Using IoT and Cloud for IoT Based Smart Cities

2021 ◽  
Author(s):  
Jacob John ◽  
Mariam Sunil Varkey ◽  
Riya Sanjay Podder ◽  
Nilavrah Sensarma ◽  
M. Selvi ◽  
...  
Keyword(s):  
Waste Disposal ◽  
Smart Cities

scholarly journals Sampling-Based Motion Planning for Free-Floating Space Robot without Inverse Kinematics

2020 ◽  
Vol 10 (24) ◽  
pp. 9137
Author(s):  
Hongwen Zhang ◽  
Zhanxia Zhu
Keyword(s):  
Motion Planning ◽  
Inverse Kinematics ◽  
Random Trees ◽  
Space Robot ◽  
Initial Configuration ◽  
First Order ◽  
System A ◽  
Planning Framework ◽  
Planning Algorithm ◽  
Differential Relationship

Motion planning is one of the most important technologies for free-floating space robots (FFSRs) to increase operation safety and autonomy in orbit. As a nonholonomic system, a first-order differential relationship exists between the joint angle and the base attitude of the space robot, which makes it pretty challenging to implement the relevant motion planning. Meanwhile, the existing planning framework must solve inverse kinematics for goal configuration and has the limitation that the goal configuration and the initial configuration may not be in the same connected domain. Thus, faced with these questions, this paper investigates a novel motion planning algorithm based on rapidly-exploring random trees (RRTs) for an FFSR from an initial configuration to a goal end-effector (EE) pose. In a motion planning algorithm designed to deal with differential constraints and restrict base attitude disturbance, two control-based local planners are proposed, respectively, for random configuration guiding growth and goal EE pose-guiding growth of the tree. The former can ensure the effective exploration of the configuration space, and the latter can reduce the possibility of occurrence of singularity while ensuring the fast convergence of the algorithm and no violation of the attitude constraints. Compared with the existing works, it does not require the inverse kinematics to be solved while the planning task is completed and the attitude constraint is preserved. The simulation results verify the effectiveness of the algorithm.

scholarly journals New Towns Development: A Wave of the Future Planning Practices in Nepal

2017 ◽  
Vol 31 (1-2) ◽  
pp. 139-152
Author(s):  
Kedar Dahal ◽  
Krishna Prasad Timalsina
Keyword(s):  
Urban Development ◽  
Development Strategy ◽  
Smart Cities ◽  
Action Plan ◽  
Infrastructure Development ◽  
Action Plans ◽  
City Development ◽  
New Town ◽  
New Towns ◽  
Town Development

 Increasing urbanization has been a major challenge to tackle issues relating to population growth, housing, infrastructure development and urban management in Nepal. Initiatives have been taking by the stakeholders of urban sectors in different course of action plans. New town development, smart city development, preparation and implementation of various strategic plans and action plans are some of the initiatives undertaken by the Ministry of Urban Development, Government of Nepal. At present, the Ministry of Urban Development is preparing intervening plans and programmes to 40 towns for planned urban development in Nepal. Some of these towns are already in pace of development and some others are in infancy stages. Balance urban development strategy so far is a strategy of government of Nepal however theory of political economy of development is inherently coming in selection of the towns, and basically in implementing the plans. Therefore, most of the prepared action plans are in question of effective implementation. Among the prioritized new towns of Nepal, some of these towns particularly smart cities are in very infancy stages of infrastructure development in which ‘smartness’ itself falls into huge dilemma. Therefore, more challenges are added in implementing the smart cities into action plan. However, new towns of Hilly and Tarai-Madhesh area will definitely provide the opportunities to cater population and create more opportunities. In this context, this study focus on the new town development and their spatial distribution in Nepal through the collection of primary information and review of previous literature.

Conceptual Foundations of Creating Sustainable Development Strategy of Smart Cities

2018 ◽  
pp. 27-72
Author(s):  
Olga Burmatova
Keyword(s):  
Sustainable Development ◽  
Development Strategy ◽  
Smart Cities ◽  
Development Program ◽  
The Sustainable Development ◽  
Factors Affecting ◽  
Future Goals ◽  
Conceptual Foundations ◽  
The Impact ◽  
The City

This chapter is devoted to the study of the role of ecological subsystem in the structure of the sustainable development program of smart city. The author suggests the logic of building the environmental strategy of the city as a long-term landmark of its sustainable development including the environmental mission, vision of the future, goals and priorities, programs and their implementation, target indicators for assessing results, and consequences of realization programs. Certain attention is paid to the city as an object of research with a focus on environmental problems. The characteristics of the factors affecting the development of the ecological situation in the city are shown. A system of criteria and indicators that can be used to assess the impact of the planned environmental activities is proposed.

Feedback motion planning of unmanned surface vehicles via random sequential composition

2019 ◽  
Vol 41 (12) ◽  
pp. 3321-3330 ◽  
Author(s):  
Emre Ege ◽  
Mustafa Mert Ankarali
Keyword(s):  
Motion Planning ◽  
Broad Class ◽  
Random Trees ◽  
Main Approach ◽  
Unmanned Surface Vehicles ◽  
Sequential Composition ◽  
Planning Algorithm ◽  
Overall Performance ◽  
Simulation Results ◽  
Feasible Solutions

In this paper, we propose a new motion planning method that aims to robustly and computationally efficiently solve path planning and navigation problems for unmanned surface vehicles (USVs). Our approach is based on synthesizing two different existing methodologies: sequential composition of dynamic behaviours and rapidly exploring random trees (RRT). The main motivation of this integrated solution is to develop a robust feedback-based and yet computationally feasible motion planning algorithm for USVs. In order to illustrate the main approach and show the feasibility of the method, we performed simulations and tested the overall performance and applicability for future experimental applications. We also tested the robustness of the method under relatively extreme environmental uncertainty. Simulation results indicate that our method can produce robust and computationally feasible solutions for a broad class of USVs.

scholarly journals Foraging at Solid Urban Waste Disposal Sites as Risk Factor for Cephalosporin and Colistin Resistant Escherichia coli Carriage in White Storks (Ciconia ciconia)

2020 ◽  
Vol 11 ◽  
Author(s):  
Ursula Höfle ◽  
Juan Jose Gonzalez-Lopez ◽  
Maria Cruz Camacho ◽  
Marc Solà-Ginés ◽  
Albert Moreno-Mingorance ◽  
...  
Keyword(s):  
Escherichia Coli ◽  
Risk Factor ◽  
Waste Disposal ◽  
Urban Waste ◽  
Ciconia Ciconia ◽  
White Storks

Sustainable development of the business environment in smart cities: a hierarchical framework

Kybernetes ◽  
2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Mingnan Jiang ◽  
Yang Gao ◽  
Mingwei Jin ◽  
Sitong Liu
Keyword(s):  
Social Problems ◽  
Smart Cities ◽  
Business Environment ◽  
Interpretive Structural Modeling ◽  
Content Type ◽  
Hierarchical Framework ◽  
New Business ◽  
The Difference ◽  
Intelligent Technology ◽  
Smart Technologies

Purpose The purpose of this study is to explore a sustainable hierarchical framework for the business environment in smart cities. However, this hierarchical framework must consider unnecessary attributes and interrelationships between criteria to capture the difference between smart cities and traditional cities. Design/methodology/approach Hence, the fuzzy set theory is used for screening unnecessary attributes, the decision-making and trial evaluation laboratory (DEMATEL) is applied to manage the complex interrelationships among the aspects and attributes and interpretive structural modeling (ISM) is used to divide the hierarchy and construct a hierarchical theoretical framework. Ultimately, this research is applied to develop a sustainable hierarchical framework of the business environment in smart cities. Findings The results show that traditional social problems are still at the core of business environment development in smart cities, new smart opportunities may be discovered, but they are still limited by traditional social factors, the economy is still the main aspect of the business environment and there are still obstacles to solving social problems with smart technologies. Originality/value This theoretical hierarchical framework aims to guide smart cities toward sustainability. This study also proposes creating a predictable business environment by improving administrative efficiency, transparency, social mobility and infrastructure services and cultivating new business opportunities with intelligent technology.

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