Computer Science

In the rapidly ageing world, evolving information and communication technologies are both welcomed as useful tools and also criticized as an important reason for social exclusion. This is because of the difficulty to retrieve required information and services from the volume of information and plethora of services available on the Web. So it is needed to develop Smart Systems that will provide required information that is easily accessible to elder people with varying capacities and resources. The central concern is to have Smart systems to foster active ageing by staying connected with events, people and getting timely, practical information to manage life and meet personal needs. This paper provides the design of a RESTful Smart System composed of different web services according to the requirement which will give assistance to the elder citizens in their daily life. To achieve a user friendly and easily accessible interface for the elder citizens the Hypermedia control defined in...

Since the buildings and construction sector is one of the main areas responsible for energy consumption and emissions, focusing on their refurbishment and promoting actions in this direction will be helpful to achieve an EU Agenda objective of making Europe climate-neutral by 2050. One step towards the renovation action is the exploitation of digital tools into a BIM framework. The scope of the research contained in this paper is to improve the management of information throughout the different stages of the renovation process, allowing an interoperable exchange of data among the involved stakeholders; the development of an innovative BIM-based toolkit is the answer to the research question. The research and results obtained related with the development of an interoperable BIM-based toolkit for efficient renovation in buildings in the framework of the European research project BIM4EEB. Specifically, the developed BIM management system allows the exchange of the data among the differ...

Several research and development projects in the construction industry show the need of coherent product libraries to ease information sharing among involved stakeholders. In these projects, designers are often the main actors addressed in the creation and fruition of such product libraries. Besides designers, the presented research addresses the needs of manufacturers, clients and users. To achieve this coherence of product libraries, there are issues such as standardisation of product data templates, numerosity and heterogeneity of products categories, interoperability in sharing data and scarce thrust of manufacturers in developing extensive libraries. Considering the European directives and regulations, manufacturers are required to provide detailed and structured information about their products, e.g. in the form of CE marks and/or Declaration of Performance (DOP). Hence, developing data structures that are already compliant with CE marks and DOPs information requirements impro...

The purpose of Linked Data and ontologies is to achieve semantic interoperability across different systems and agents. As a concrete implementation, Digital Construction Ontologies (DiCon) are meant to provide efficient information sharing and utilization between the tools in the BIM4EEB toolkit. This section explains the motivations, design principles, and organization of DiCon ontologies.

On October 29th the workshop corresponding to the mid-term conference of BIM4EEB (Acronym of BIM Based Toolkit for Efficient rEnovation in Buildings, Horizon Project under grant agreement N. 820660 ) project was held during the Sustainable Places 2020 event. The main focus of the workshop was a general introduction of the project combined with vertical insights on the single tools that have been developed or are still in development. BIM4EEB grows from simple consideration: according to a BPIE analysis on EPC data, about 97% of building stock, currently not in A level, must be upgraded to achieve 2030 decarbonization objectives. As the biggest energy consumers, buildings consume about 40% of energy and they are responsible for 36% of CO2—they are strategic in order to reach the set of environmental goals and subjected to renovation and refurbishment during their lifecycle according to a specific schedule. Refurbishment becomes the crucial point of sustainability not only in construc...

In this dissertation, we present a novel approach for user-driven composition of Web APIs by adopting end-user development paradigm. Automated Web service or Web API composition driven by end-users requires dealing with three major research thrusts: (i) heterogeneity of the Web services due to different protocols they use, (ii) automated addition of semantic annotations in the service descriptions and (iii) involvement of all groups of end-users in the composition process by providing an easy and accessible environment according to their requirements. Nowadays, variety of services on the Web is increasing considering pervasive computing environments where different devices often use different technologies, which make the communication complex and sometimes even troublesome. Sensor Web has a central role in addressing new sources of information that need to be dynamically integrated into systems. Although, the HTTP protocol has been used as a universal mean for tunneling messages in ...

Nowadays, buildings renovation is a subject of special interest since the building and construction sector is the main body responsible for energy consumption and emissions. Hence, it is necessary to concentrate on refurbishment to achieve Europe’s climate neutrality by 2050 according to European Agenda goals. The BIM4EEB Project, a BIM-based fast toolkit for the efficient renovation of residential buildings, directs the attention toward developing an exhaustive toolkit based on Building Information Modeling (BIM) to be adopted in the renovation of existing residential buildings, to make the flow of information efficient, decreasing intervention working time while improving building performances, quality, and comfort for inhabitants. BIM4EEB is developing a BIM management system connected to an operational and multifunctional toolkit for various architecture, engineering, and construction (AEC) stakeholders, integrating a set of tools for improving BIM adoption in renovation environ...

Knowledge Discovery and Data Mining (KDD) is a multidisciplinary field of study that focuses on methodologies for extracting useful knowledge from data. During the latest Covid-19 pandemic, there was a significant uptick in online-based learning (e-learning) operations as every educational institution moved its operations to digital channels. To increase the quality of education in this new normal, it is necessary to determine the key factors in students’ performance. The main objective of this study is to exploit the regulating factors of education via digital platforms during the covid-19 pandemic by extracting knowledge and a set of rules by using the Decision Tree (j48) classifier.  In this study, we developed a conceptual framework using four datasets, each with a different set of attributes and instances, collected from “X-University” and Microsoft teams. ‘Final term’ and ‘Mid-term’ examinations acted as the root node for all four datasets. The findings of this study would ben...

The Software Development Life Cycle (SDLC) includes the phases used to develop software. During the phases of the SDLC, unexpected risks might arise due to a lack of knowledge, control, and time. The consequences are severe if the risks are not addressed in the early phases of SDLC. This study aims to conduct a Systematic Literature Review (SLR) and acquire concise knowledge of Software Risk Prediction (SRP) from the published scientific articles from the year 2007 to 2022. Furthermore, we conducted a qualitative analysis of published articles on SRP. Some of the key findings include: (1) 16 articles are examined in this SLR to represent the outline of SRP; (2) Machine Learning (ML)-based detection models were extremely efficient and significant in terms of performance; (3) Very few research got excellent scores from quality analysis. As part of this SLR, we summarized and consolidated previously published SRP studies to discover the practices from prior research. This SLR will pave the way for further research in SRP and guide both researchers and practitioners.

Social networks facilitate the social space where actors or the users have ties among them. The ties and their patterns are based on their life styles and communication. Similarly, in online social media networks like Facebook, Twitter, Myspace etc., multiple users belong to multiple specific communities. The social network represents large real-world directed social graphs. Detection of communities or clusters from these graphs is a problem of considerable research interest. The communities are formed using the neighboring nodes that have common edges and common attributes. Most of the existing community detection algorithms usually consider node contents to analyze the attributes of community. Some algorithms use the links between the nodes to determine the dense regions in the graph. But utilizing both the edge content and the vertex content to detect community are yet to be considered and verified, since the traditional extraction methods of vertex and edge data do not consider ...

Generally a sequence of image is taken by a camera which is attached with the robot. The camera takes the image of the
background. When the robot moves the camera moves as well. We can have the motion direction by comparing the image sequences with six parameter model. But If we want to draw the travelling path with the change of motion direction, then to get the path of the robot that it has crossed is a problem. This paper proposes an image processing approach to find the solution to this problem.

Issues regarding security have become vital in the world of Grid computing. Users deserve a threat free environment where
they are not at risk of providing their password to potential hackers when they are using it to access any protected resource. To
prevent the grid resources from being illegally visited, a strong password authentication system, that requires input from both
the user and server, is necessary. In this paper, based on the elliptic curve cryptosystem, we have proposed an efficient and
most importantly a secure user authentication scheme for grid computing to guard against attacks like server spoofing, On-line and off-line password guessing and replay attack. The proposed scheme only requires a one-way hash function and Weil pairing, which makes it simpler and no hassle of safe guarding and private key. More over it makes uses of Lattice which is computationally must faster and efficient.

Social networking sites are the platform to share familiar interest, and it is free of charge. But the e-commerce made it
possible for the Social applications (specially the games) a potential business sector for different game development firms.
Collectively the main focus of Facebook applications is to connect a user with a network and to do so the games are
initially free of cost. Although the developing firms can make profit with it but the main earnings are from virtual currency
(e-commerce) by providing extra benefits with the game. The problem is to identify and segmenting the potential buyer for a game and how to do marketing. This research presents a machine learning approach to generate some efficient rule based decision for viral marketing.