Nikolaos Karadimas

Prof. Nikolaos Karadimas

Assistant Professor
orcid

Research Focus & Metrics

Academic Career Length

23Years (2004-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

View All Publications
1 April 2007 in Waste Management & Research: The Journal for a Sustainable Circular Economy
Verified
Journal Article
Closed access
PDF file
Nikolaos KaradimasNikolaos Karadimas
Nikolaos Karadimas
KPKaterina Papatzelou
Katerina Papatzelou
VLVassili G. Loumos
Vassili G. Loumos
In the present paper, the Ant Colony System (ACS) algorithm is used for the identification of optimal routes in the case of municipal solid waste (MSW) collection. The proposed MSW management system is based on a geo-referenced spatial database supported by a geographic information system (GIS). The GIS takes into account all the required parameters for solid waste collection. These parameters include static and dynamic data, such as the positions of waste bins, the road network and the related traffic, as well as the population density in the area under study. In addition, waste collection schedules, truck capacities and their characteristics are also taken into consideration. Spatio-temporal statistical analysis is used to estimate inter-relations between dynamic factors, like network traffic changes in residential and commercial areas. The user, in the proposed system, is able to define or modify all of the required dynamic factors for the creation of alternative initial scenarios. The objective of the system is to identify the most cost-effective scenario for waste collection, to estimate its running cost and to simulate its application. Finally, the results of the ACS algorithm are compared with the empirical method currently used by the Municipality of Athens.

1 August 2008 in Waste Management & Research: The Journal for a Sustainable Circular Economy
Verified
Journal Article
Closed access
PDF file
Nikolaos KaradimasNikolaos Karadimas
Nikolaos Karadimas
VLVassili G. Loumos
Vassili G. Loumos
In the present paper, an innovative model for the estimation of municipal solid waste generation and collection is proposed. This model is part of an extended solid waste management system and uses a spatial Geodatabase, integrated in a GIS environment. It takes into consideration several parameters of waste generation, such as population density, commercial activities, road characteristics and their influence on the location and allocation of waste bins. Ground-based analysis was applied for the estimation of the inter-relations between the aforementioned factors and the variations in waste generation between residential and commercial areas. Therefore, the proposed model follows a unified categorization approach for residential and commercial activities and focuses on the dominant factors that determine waste generation in the area under study. The most important result of the research work presented in the current paper is an accurate estimation of the optimal number of waste bins and their allocation. A new methodology and an appropriate algorithm have been developed for this purpose in order to facilitate routing and waste collection. By using these results, municipalities aware of social, economical and environmental factors, related to waste management, can achieve optimal usage of their resources and offer the best possible services to their citizens.

1 January 2007
Verified
Book Chapter
Closed access
PDF file
Nikolaos KaradimasNikolaos Karadimas
Nikolaos Karadimas
KPKaterina Papatzelou
Katerina Papatzelou
VLVassili G. Loumos
Vassili G. Loumos

4 June 2007
Verified
Conference Paper
Closed access
Nikolaos KaradimasNikolaos Karadimas
Nikolaos Karadimas
MKM. Kolokathi
M. Kolokathi
GDG. Defteraiou
G. Defteraiou
VLV. Loumos
V. Loumos

1 August 2018
Verified
Conference Paper
Closed access
Nikolaos KaradimasNikolaos Karadimas
Nikolaos Karadimas
The success of the e-learning has created a growing demand for the development of a number of either commercial or open-source Learning Management Systems (LMSs), which are widely used, in our days, in universities, colleges, companies, organizations and any other educational institutes. This paper presents and discuss thirty-eight (38) of the most important features in LMSs, which are critical to compare and evaluate the platforms between them. This work also focuses on the comparison of ten (10) most widely used LMSs according to these features from the point of their popularity.

1 January 2005
Verified
Conference Paper
Closed access
Nikolaos KaradimasNikolaos Karadimas
Nikolaos Karadimas
OMO.D. Mavrantza
O.D. Mavrantza
VLV.G. Loumos
V.G. Loumos
In the present paper, an innovative model for the management of urban solid waste is proposed. The model consists of a spatio-temporal geodatabase, integrated in a geographical information system (GIS) environment. This model takes into consideration all the parameters of waste production, such as population density, commercial traffic, road network and the relative information (e.g. road width, etc). Temporal ground-based analysis has been applied for the estimation of the interrelations between the above factors, and the variations in waste production between residential and commercial areas. Therefore, the model takes into account a unified categorization of all the commercial and industrial activities in the area under study. The main goal of this innovative algorithmic approach is to develop an accurate estimation of the solid waste production rate that allows the identification of the optimal number and location of the waste bins. In this way, municipalities aware of social, economical and environmental factors related to waste management can achieve optimal planning for their services