scholarly journals Intelligent Policy Framework for Georouting Using Spatial Database

2018 ◽  
Vol 7 (3.6) ◽  
pp. 5
Author(s):  
Swasti Saxena ◽  
B Amutha ◽  
Abhinaba Das
Keyword(s):  
Climate Change ◽  
Carbon Footprint ◽  
Shortest Path ◽  
Policy Framework ◽  
Energy Sources ◽  
Tourist Attraction ◽  
Android Application ◽  
Shortest Route ◽  
The Right ◽  
Day By Day

In today’s world of time effectiveness and climate change it is a necessity to take the right decision at the right time and act responsibly! Our carbon footprint is increasing day by day and our injudicious use of non-renewable sources of energy are posing a threat to get these energy sources exhausted soon! It is our responsibility to take an initiative towards it from our end.In this paper I am going to discuss about an Android Application which I have developed that will solve the problem of finding the shortest route from source to destination. This will lead to less wastage of car fuel and time to find the shortest path!This application has a two fold benefit  i.e. one of finding the shortest path from source and destination and second is acting as a world tour guide. It will not only show you the places of tourist attraction in that place but will also facilitate in providing suggestions for the cheapest means of transport that should be taken in order reach destination in minimum possible time and by spending minimum amount of money on travel!

scholarly journals Cairo Public Transport Route Finder – A Pilot System

2016 ◽  
Vol 4 (4) ◽  
pp. 26
Author(s):  
Khaled Ahmed Ahmed Mohamed Hassan ◽  
Ghada Nasr Hassan
Keyword(s):  
Shortest Path ◽  
Public Transport ◽  
Public Transportation ◽  
Transportation Network ◽  
Android Application ◽  
Network Graph ◽  
The Public ◽  
Shortest Route ◽  
Greater Cairo ◽  
Starting Location

Aiming to facilitate the choice of transport links leading from a starting location to a destination in greater Cairo, we propose in this work a public transportation mobile (android) application to assist users of public transport. The system is a pilot application that considers the public mini-buses network in three areas of Cairo, and builds the database of the mini-bus network verified on the ground. From this database, the transportation network graph consisting of nodes and possible links between them is constructed. Upon request, the system then identifies the series of public transport possible, calculates the shortest path between the two chosen locations, and displays the bus, or series of buses, and the routes to the user, ordered by distance. The specialized algorithm Dijkstra was implemented to find the shortest route.

scholarly journals Analysis of the policy background of transport related use of renewable energy

2019 ◽  
Vol 4 (2) ◽  
pp. 124-129
Author(s):  
Tibor Princz-Jakovics
Keyword(s):  
Renewable Energy ◽  
Carbon Footprint ◽  
Renewable Energy Sources ◽  
White Paper ◽  
Policy Framework ◽  
Energy Sources ◽  
Mobility Patterns ◽  
Development Framework ◽  
Regional Strategies ◽  
Methodological Guidelines

The EU energy policy prioritizes the following principles: sustainability, competitiveness and security of supply and addresses the reduction of greenhouse gas emissions as a priority. The related EU policy (including the White Paper on Transport) outlines these principles, identifies goals and opportunities for action. At company level methodological guidelines and standard procedures can be used to assess the carbon footprint of the organization, to generate efficiency goals and to prepare action plans. In the Hungarian policy framework, a comprehensive National Sustainable Development Framework Strategy defines the basic principles for the analysis of the sectorspecific or regional strategies. Sustainable Energy Action and Climate Plans (SECAPs) integrate energy and climate issues and include interventions and improvements for the better use of renewable energy sources in transport at municipal level. As a summary it can be stated that exploration of the policy background would needed to influence the use of renewable energy sources for transport and definition of the development goals can help economic organizations to transform their mobility patterns and reduce related carbon footprint.

scholarly journals Algoritma Dijktra Untuk Menentukan Jalur Terpendek Dalam Sistem Informasi Geografis

2019 ◽  
Vol 7 (1) ◽  
pp. 33-42
Author(s):  
Rully Pramudita ◽  
Nadya Safitri
Keyword(s):  
Shortest Path ◽  
Tourist Destination ◽  
Main Road ◽  
The Road ◽  
Shortest Route ◽  
Big Cities ◽  
Shortest Path Algorithms ◽  
The Right

Abstract Big cities in Indonesia always experience a lot of congestion, especially during holidays. It needs the right route to reach the tourist destination. Bandung city will be the location of this study, which every holiday it always happens congestion in this city. Therefore, a solution should be carried out that can provide solutions in finding independent pathways that can help government to manage the traffic. In determining the shortest path there are several choices of algorithms. This study uses one of the shortest path algorithms, namely the Dijktra algorithm to calculate the shortest path. The case area in this study is the road in Bandung city which starts from the road Ir. H. Juanda to Leuwipanjang. The road points passed are obtained from several main road nodes that are often used. The coordinate calculation of each node will be calculated by the concept of graph and haversine formula. The results of this study are the shortest route through the use of the Dijktra algorithm.   Keywords: Algorithm Graph, Shortest Path, Dijktra, Haversine Formula.   Abstrak   Kota-kota besar di Indonesia saat ini banyak mengalami masalah kemacetan, terutama ketika masa-masa liburan. Dibutuhkan rute jalan yang tepat untuk mencapai tempat wisata tujuan. Kota Bandung akan menjadi lokasi penelitian ini, dimana setiap masa liburan selalu terjadi kemacetan. Perlu penelitian untuk memberikan solusi dalam mencari jalur tependek yang dapat membantu dinas terkait dalam mengelola lalu-lintas. Dalam menentukan jalur terpendek ada beberapa pilihan algoritma penyelesaian, salah satunya digunakan dalam penelitian ini yaitu algoritma Dijktra, salah satu algoritma shortest path untuk menghitung jalur terpendek. Kasus yang diambil dalam penelitian ini yaitu rute jalan di Kota Bandung yang bermula dari jalan Ir.H.Djuanda hingga di jalan Leuwipanjang. Titk-titik jalan yang dilalui didapatkan dari beberapa simpul jalan utama yang sering digunakan. Perhitungan koordinat setiap simpul akan dihitung dengan konsep graf dan rumus haversine formula. Rute jalur terpendek terbukti dapat ditemukan menggunakan perhitungan algoritma Dijktra.   Kata kunci: Algoritma Graf, Jalur Terpendek, Dijktra, Formula Haversine

scholarly journals Aplikasi Pemandu Pencarian Wisata Terdekat Berbasis GIS Android Dengan Algoritma Dijkstra

2019 ◽  
Vol 3 (1) ◽  
pp. 91
Author(s):  
Khairil Anam ◽  
Ony Dwi Hartono
Keyword(s):  
Search Algorithm ◽  
Rapid Development ◽  
Geographical Information ◽  
Tourist Attraction ◽  
Android Application ◽  
Dijkstra Algorithm ◽  
Tourist Attractions ◽  
Shortest Route ◽  
Tourism Sector ◽  
Route Search

Sumenep Regency is one of the districts on Madura Island where the tourism sector is experiencing rapid development and improvement. Sumenep Regency has a natural and cultural tourist attraction, making it a destination for tourists. Not only is the attraction of the culture of his cow easy, but Sumenep Regency has a very beautiful natural attraction. The condition of natural tourism consists of natural scenery, high hills, beaches, high asta and diversity of marine potential. One of the popular tourist objects is Pantai Pantai Sembilan, Gili Labak Island and Gilii which have the best oxygen levels in the world. Tourists from outside the region, especially those who first visited Sumenep Regency will have a little difficulty in accessing tourist attractions in this city because they do not know in detail the information about the location of these tourist attractions. The purpose of this research is to build an Android-based Geographical Information System using the Dijkstra Algorithm, which is expected to help tourists from outside the Sumenep City area in displaying routes from one tourist spot to another. The method that is the basis for designing this GIS is the Graph Method, by applying the shortest route search algorithm, Dijkstra's Algorithm. The expected results with this application are that it can help, simplify, and accelerate tourists in finding and obtaining information about the location of tourist attractions in Sumenep Regency. Based on the closest travel search trials using the Android Application it produces an accuracy of 95%.

scholarly journals Vertical force requirement for stump lifting

2013 ◽  
Vol 59 (No. 7) ◽  
pp. 267-271 ◽  
Author(s):  
I. Czupy ◽  
E. Horváth-Szováti
Keyword(s):  
Climate Change ◽  
Renewable Energy ◽  
Renewable Energy Sources ◽  
Energy Sources ◽  
Vertical Force ◽  
Fossil Energy ◽  
Soil Preparation ◽  
The Right ◽  
The Cost ◽  
Stump Diameter

In harvest areas the soil preparation is occasionally necessary before reforestation including the removal, collection and transportation of stumps from the soil. Issues related to climate change and the shortage of fossil energy sources call for an increased rate of renewable energy sources. Using the stumps removed from the soil as fuel is a significant resource for biomass. For lifting a stump together with its roots a grab mounted on a shovel is generally used. To rationalise this operation, analyses of stump lifting time have been carried out. We tested a machine mounting one grab for stump lifting on three tree types (Scots pine, robinia and poplar) and found functions correlating stump extraction force and stump diameter, which can be used in order to choose the right machine and determine the cost of the operation.  

scholarly journals Eine CO2-Abgabe mit Rückerstattung hilft dem Klimaschutz und ist sozial gerecht

2019 ◽  
Vol 28 (3) ◽  
pp. 271-274 ◽  
Author(s):  
Andreas Diekmann ◽  
Heidi Bruderer Enzler
Keyword(s):  
Climate Change ◽  
Carbon Footprint ◽  
Fossil Fuel ◽  
Carbon Tax ◽  
Lower Class ◽  
Technological Innovations ◽  
Distributional Effects ◽  
Carbon Footprints ◽  
Effective Instrument ◽  
The Right

Der Ruf nach einer CO2-Bepreisung wird international lauter, da CO2-Emissionen damit effektiv gesenkt werden können. Allerdings ist die klimapolitische Maßnahme auch umstritten, da sie angeblich Personen mit niedrigem Einkommen zu stark belastet. Das Schweizer Modell zeigt, dass Geringverdienende von einer CO2 -Abgabe profitieren ‐ dank Rückerstattung.A carbon tax is an effective instrument for reducing industrial and household carbon emissions. Some, however, put forward the objection that taxing CO2 is a greater burden for lower-class households than for affluent household. Revenue redistribution to taxpayers compensates for the negative distributional effects of a carbon tax. In 2008, Switzerland introduced a CO2 levy on heating-related fossil fuel use. The levy was raised to 96 Swiss francs (87 Euro) per ton CO2. Two thirds of the revenues are redistributed to residents while one third is spent on building renovations and technological innovations. In the current study, we investigated the distributional effects of a hypothetical CO2 levy with redistribution on all products and services. We calculated individual carbon footprints based on survey data from Swiss households. As expected, the carbon footprint distribution was strongly skewed to the right. We report correlations of carbon footprints with income and estimate the proportion of the population that stands to gain from a CO2 levy with redistribution. The results show that, in addition to mitigating climate change, this policy will prove beneficial for a large majority of the population.

scholarly journals e-Map as An Android Application Using Shortest Path Algorithm

2016 ◽  
Vol 24 (1) ◽  
Author(s):  
Joshua A. Carcillar ◽  
Karen R. Hernandez ◽  
Romnick M. Mamisay ◽  
Lester Paul B. Rabano ◽  
Shiena G. Matibag ◽  
...  
Keyword(s):  
Shortest Path ◽  
Mobile Device ◽  
Android Application ◽  
Shortest Path Algorithm ◽  
Shortest Route ◽  
Current Location ◽  
The World ◽  
Starting Location

Using a mobile device, the user could access the map application anywhere you go. The study was developed to determine the best path from one location to another using GPS Satellite. It has three features: Searching, Detecting, and Logbook. The user can input the starting location and destination anywhere on land through searching using the Shortest Path Algorithm. Based on the inputted location given by the user, the list of available routes will be determined which enables the user to select one from a set of possible routes. Afterward, the application will detect which path that the user will take to reach their destination applicable anywhere in the world through GPS satellite. It identifies the current location of the person and once the user moves from his current location to another location, the GPS will update every 20 seconds so that all possible routes with the number of kilometers will give the user to choose the shortest route. After the completion of the Google Map application, it was found out that this application can be used worldwide. It can detect routes anywhere in the world by using arrays (from JSON) as data provided from the satellite as long as travel is on land.

The Map-Based Shortest Route Selection by Using Ant Colony Optimization Algorithm

2018 ◽  
Vol 1 (1) ◽  
pp. 15
Author(s):  
Achmad Fanany Onnilita Gaffar ◽  
Agusma Wajiansyah ◽  
Supriadi Supriadi
Keyword(s):  
Ant Colony Optimization ◽  
Shortest Path ◽  
Optimization Algorithm ◽  
Optimization Problems ◽  
Google Earth ◽  
Ant Colony ◽  
Food Sources ◽  
Shortest Route ◽  
Study Results ◽  
Destination Point

The shortest path problem is one of the optimization problems where the optimization value is a distance. In general, solving the problem of the shortest route search can be done using two methods, namely conventional methods and heuristic methods. The Ant Colony Optimization (ACO) is the one of the optimization algorithm based on heuristic method. ACO is adopted from the behavior of ant colonies which naturally able to find the shortest route on the way from the nest to the food sources. In this study, ACO is used to determine the shortest route from Bumi Senyiur Hotel (origin point) to East Kalimantan Governor's Office (destination point). The selection of the origin and destination points is based on a large number of possible major roads connecting the two points. The data source used is the base map of Samarinda City which is cropped on certain coordinates by using Google Earth app which covers the origin and destination points selected. The data pre-processing is performed on the base map image of the acquisition results to obtain its numerical data. ACO is implemented on the data to obtain the shortest path from the origin and destination point that has been determined. From the study results obtained that the number of ants that have been used has an effect on the increase of possible solutions to optimal. The number of tours effect on the number of pheromones that are left on each edge passed ant. With the global pheromone update on each tour then there is a possibility that the path that has passed the ant will run out of pheromone at the end of the tour. This causes the possibility of inconsistent results when using the number of ants smaller than the number of tours.

DISSEMINATION AND USE OF INFORMATION ON CLIMATE CHANGE AND VARIABILITY: A CASE STUDY OF FARMERS IN MALUGA AND CHIBELA VILLAGES IN SEMI-ARID CENTRAL TANZANIA

Mousaion ◽  
2016 ◽  
Vol 33 (3) ◽  
pp. 1-24
Author(s):  
Emmanuel Elia ◽  
Stephen Mutula ◽  
Christine Stilwell
Keyword(s):  
Climate Change ◽  
Data Collection ◽  
Diffusion Of Innovations ◽  
Agricultural Development ◽  
Agricultural Sector ◽  
Policy Framework ◽  
Accurate Information ◽  
Adaptation To Climate Change ◽  
Climate Change And Variability ◽  
Semi Arid

This study was part of broader PhD research which investigated how access to, and use of, information enhances adaptation to climate change and variability in the agricultural sector in semi-arid Central Tanzania. The research was carried out in two villages using Rogers’ Diffusion of Innovations theory and model to assess the dissemination of this information and its use by farmers in their adaptation of their farming practices to climate change and variability. This predominantly qualitative study employed a post-positivist paradigm. Some elements of a quantitative approach were also deployed in the data collection and analysis. The principal data collection methods were interviews and focus group discussions. The study population comprised farmers, agricultural extension officers and the Climate Change Adaptation in Africa project manager. Qualitative data were subjected to content analysis whereas quantitative data were analysed to generate mostly descriptive statistics using SPSS.  Key findings of the study show that farmers perceive a problem in the dissemination and use of climate information for agricultural development. They found access to agricultural inputs to be expensive, unreliable and untimely. To mitigate the adverse effects of climate change and variability on farming effectively, the study recommends the repackaging of current and accurate information on climate change and variability, farmer education and training, and collaboration between researchers, meteorology experts, and extension officers and farmers. Moreover, a clear policy framework for disseminating information related to climate change and variability is required.

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