scholarly journals A Collaborative Application for Assisting the Management of Household Plastic Waste through Smart Bins: A Case of Study in the Philippines

Sensors ◽  
2021 ◽  
Vol 21 (13) ◽  
pp. 4534
Author(s):  
Navjot Sidhu ◽  
Alberto Pons-Buttazzo ◽  
Andrés Muñoz ◽  
Fernando Terroso-Saenz
Keyword(s):  
Route Planning ◽  
The Philippines ◽  
Plastic Waste ◽  
Household Waste ◽  
User Behaviors ◽  
Time Horizons ◽  
Planning Algorithm ◽  
Collaborative Application ◽  
Simulated Scenario ◽  
Waste Pickers

The management and collection of household waste often represents a demanding task for elderly or impaired people. In particular, the increasing generation of plastic waste at home may pose a problem for these groups, as this type of waste accumulates very rapidly and occupies a considerable amount of space. This paper proposes a collaborative infrastructure to monitor household plastic waste. It consists of simple smart bins using a weight scale and a smart application that forecasts the amount of plastic generated for each bin at different time horizons out of the data provided by the smart bins. The application generates optimal routes for the waste-pickers collaborating in the system through a route-planning algorithm. This algorithm takes into account the predicted amount of plastic of each bin and the waste-picker’s location and means of transport. This proposal has been evaluated by means of a simulated scenario in Quezon City, Philippines, where severe problems with plastic waste have been identified. A set of 176 experiments have been performed to collect data that allow representing different user behaviors when generating plastic waste. The results show that our proposal enables waste-pickers to collect more than the 80% of the household plastic-waste bins before they are completely full.

A Perception-Based Fuzzy Route Planing Algorithm for Autonomous Unmanned Ground Vehicles

2018 ◽  
Vol 06 (04) ◽  
pp. 251-266
Author(s):  
Phillip J. Durst ◽  
Christopher T. Goodin ◽  
Cindy L. Bethel ◽  
Derek T. Anderson ◽  
Daniel W. Carruth ◽  
...  
Keyword(s):  
Path Planning ◽  
Urban Area ◽  
Route Planning ◽  
Unmanned Ground Vehicles ◽  
Membership Functions ◽  
Ground Vehicles ◽  
Ground Vehicle ◽  
Sensor Error ◽  
Planning Algorithm ◽  
Error Costs

Path planning plays an integral role in mission planning for ground vehicle operations in urban areas. Determining the optimum path through an urban area is a well-understood problem for traditional ground vehicles; however, in the case of autonomous unmanned ground vehicles (UGVs), additional factors must be considered. For an autonomous UGV, perception algorithms rather than platform mobility will be the limiting factor in operational capabilities. For this study, perception was incorporated into the path planning process by associating sensor error costs with traveling through nodes within an urban road network. Three common perception sensors were used for this study: GPS, LIDAR, and IMU. Multiple set aggregation operators were used to blend the sensor error costs into a single cost, and the effects of choice of aggregation operator on the chosen path were observed. To provide a robust path planning ability, a fuzzy route planning algorithm was developed using membership functions and fuzzy rules to allow for qualitative route planning in the case of generalized UGV performance. The fuzzy membership functions were then applied to several paths through the urban area to determine what sensors were optimized in each path to provide a measure of the UGV’s performance capabilities. The research presented in this paper shows the impacts that sensing/perception has on ground vehicle route planning by demonstrating a fuzzy route planning algorithm constructed by using a robust rule set that quantifies these impacts.

scholarly journals A fast route planning algorithm for MPLS-TE

2012 ◽  
Author(s):  
Katia Sarsembagieva ◽  
Georgios Gardikis ◽  
George Xilouris ◽  
Anastasios Kourtis
Keyword(s):  
Route Planning ◽  
Fast Route ◽  
Planning Algorithm

scholarly journals Edukasi Pengelolaan Sampah Plastik Dari Rumah Tangga Menjadi Ecobrick

2021 ◽  
Vol 2 (2) ◽  
pp. 117-126
Author(s):  
Titien Yusnita ◽  
Febri Palupi Muslikhah ◽  
Machyudin Agung Harahap
Keyword(s):  
Waste Management ◽  
Management Training ◽  
Plastic Waste ◽  
Household Waste ◽  
Plastic Packaging ◽  
Training Activity ◽  
Packaging Waste ◽  
Natural Beauty ◽  
The World

The problem of waste is always an interesting thing that never runs out to find a solution. One of them is plastic packaging waste that is widely used by the community and cannot be decomposed again by nature. In line with the SDGs issue, Indonesia is the second largest country that disposes of plastic waste in the world after China. This is very dangerous for the natural beauty of Indonesia's vast seas, and destroys a very diverse ecosystem. Existing plastic waste that comes from household waste, it can be used easily and cheaply into Ecobrick. Ecobrick is a term for the result of managing plastic waste into a brick that can be used as useful items such as chairs or tables. This plastic waste management training activity was carried out for housewives in Cibitung Tengah Village, Bogor Regency to find out the use of plastic waste that can be recycled to be used as useful goods. In addition, to provide awareness of the importance of sorting household waste in order to help preserve nature. Keywords: ecobricks, management, household, plastic waste  

scholarly journals POPULATION PATTERN AND HOUSEHOLD WASTE MANAGEMENT PRACTICES IN RELATION TO BIO-PHYSICOCHEMICAL WATER QUALITY CHARACTERISTICS IN THE NAGA RIVER

2021 ◽  
pp. 100-105
Author(s):  
Mariel R. Estrella
Keyword(s):  
Water Quality ◽  
Waste Management ◽  
Management Practices ◽  
Water Quality Assessment ◽  
The Philippines ◽  
Household Waste ◽  
Large Household ◽  
Population Pattern ◽  
Waste Management Practices ◽  
Ph Level

Rapid population growth and urbanization over the years has put pressure on natural resources threatening various fragile ecosystems. Naga river in the Philippines became a mute witness to the adverse effects of human activities on its waters. The present study took into account the waste management practices of households along the Naga river to elucidate its relation to the bio-physicochemical state of the river. The comparative analysis of water quality assessment data indicates that there is an observable deterioration of water quality due to its decreased level of Dissolved Oxygen (DO) and above normal pH level. This can be attributed to the continued practice of the households of throwing and discharging 34% and 78% of their solid and liquid wastes, respectively, directly into the river. However, there is a trend of improvement in the Naga river's water quality in terms of other parameters. The study also revealed that the size of built up areas and the household population along the Naga river is not necessarily proportional. Land use and the large household population along the Naga river was found to have higher adverse impacts on the water quality and current state of the Naga river. KEYWORDS: Naga River, water quality, waste management, community survey

MISSION-ADAPTABLE ROUTE PLANNING IN UNCERTAIN AND ADVERSARIAL ENVIRONMENT

2006 ◽  
Vol 15 (05) ◽  
pp. 803-821 ◽  
Author(s):  
PING YAN ◽  
MINGYUE DING ◽  
CHANGWEN ZHENG
Keyword(s):  
Real Time ◽  
A Priori ◽  
Route Planning ◽  
Optimal Solution ◽  
Dijkstra Algorithm ◽  
Solution Quality ◽  
Model Complex ◽  
Local Methods ◽  
Domain Specific Knowledge ◽  
Planning Algorithm

In this paper, the route-planning problems of Unmanned Aerial Vehicle (UAV) in uncertain and adversarial environment are addressed, including not only single-mission route planning in known a priori environment, but also the route replanning in partially known and mission-changeable environments. A mission-adaptable hybrid route-planning algorithm based on flight roadmap is proposed, which combines existing global and local methods (Dijkstra algorithm, SAS and D*) into a two-level framework. The environment information and constraints for UAV are integrated into the procedure of building flight roadmap and searching for routes. The route-planning algorithm utilizes domain-specific knowledge and operates in real time with near-optimal solution quality, which is important to uncertain and adversarial environment. Other planners do not provide all of the functionality, namely real-time planning and replanning, near-optimal solution quality, and the ability to model complex 3D constraints.

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