Parametric Surfaces for Augmented Architecture representation

Augmented Reality (AR) represents a growing communication channel, responding to the need to expand reality with additional information, offering easy and engaging access to digital data. AR for architectural representation allows a simple interaction with 3D models, facilitating spatial understanding of complex volumes and topological relationships between parts, overcoming some limitations related to Virtual Reality. In the last decade different developments in the pipeline process have seen a significant advancement in technological and algorithmic aspects, paying less attention to 3D modeling generation. For this, the article explores the construction of basic geometries for 3D model’s generation, highlighting the relationship between geometry and topology, basic for a consistent normal distribution. Moreover, a critical evaluation about corrective paths of existing 3D models is presented, analysing a complex architectural case study, the virtual model of Villa del Verginese, an emblematic example for topological emerged problems. The final aim of the paper is to refocus attention on 3D model construction, suggesting some "good practices" useful for preventing, minimizing or correcting topological problems, extending the accessibility of AR to people engaged in architectural representation

Applied business analytics approach to IT projects – Methodological framework

The design and implementation of a big data project differs from a typical business intelligence project that might be presented concurrently within the same organization. A big data initiative typically triggers a large scale IT project that is expected to deliver the desired outcomes. The industry has identified two major methodologies for running a data centric project, in particular SEMMA (Sample, Explore, Modify, Model and Assess) and CRISP-DM (Cross Industry Standard Process for Data Mining). More general, the professional organizations PMI (Project Management Institute) and IIBA (International Institute of Business Analysis) have defined their methods for project management and business analysis based on the best current industry practices. However, big data projects place new challenges that are not considered by the existing methodologies. The building of end-to-end big data analytical solution for optimization of the supply chain, pricing and promotion, product launch, shop potential and customer value is facing both business and technical challenges. The most common business challenges are unclear and/or poorly defined business cases; irrelevant data; poor data quality; overlooked data granularity; improper contextualization of data; unprepared or bad prepared data; non-meaningful results; lack of skill set. Some of the technical challenges are related to lag of resources and technology limitations; availability of data sources; storage difficulties; security issues; performance problems; little flexibility; and ineffective DevOps. This paper discusses an applied business analytics approach to IT projects and addresses the above-described aspects. The authors present their work on research and development of new methodological framework and analytical instruments applicable in both business endeavors, and educational initiatives, targeting big data. The proposed framework is based on proprietary methodology and advanced analytics tools. It is focused on the development and the implementation of practical solutions for project managers, business analysts, IT practitioners and Business/Data Analytics students. Under discussion are also the necessary skills and knowledge for the successful big data business analyst, and some of the main organizational and operational aspects of the big data projects, including the continuous model deployment

Marketing relations and communication infrastructure development in the banking sector based on big data mining

Purpose: The article aims to study the methodological tools for applying the technologies of intellectual analysis of big data in the modern digital space, the further implementation of which can become the basis for the marketing relations concept implementation in the banking sector of the Russian Federation‘ economy. Structure/Methodology/Approach: For the marketing relations development in the banking sector in the digital economy, it seems necessary: firstly, to identify the opportunities and advantages of the big data mining in banking marketing; secondly, to identify the sources and methods of processing big data; thirdly, to study the examples of the big data mining successful use by Russian banks and to formulate the recommendations on the big data technologies implementation in the digital marketing banking strategy. Findings: The authors‘ analysis showed that big data technologies processing of open online and offline sources of information significantly increases the data amount available for intelligent analysis, as a result of which the interaction between the bank and the target client reaches a new level of partnership. Practical Implications: Conclusions and generalizations of the study can be applied in the practice of managing financial institutions. The results of the study can be used by bank management to form a digital marketing strategy for long-term communication. Originality/Value: The main contribution of this study is that the authors have identified the main directions of using big data in relationship marketing to generate additional profit, as well as the possibility of intellectual analysis of the client base, aimed at expanding the market share and retaining customers in the banking sector of the economy.peer-reviewe

BOOL-AN: A method for comparative sequence analysis and phylogenetic reconstruction

A novel discrete mathematical approach is proposed as an additional tool for molecular systematics which does not require prior statistical assumptions concerning the evolutionary process. The method is based on algorithms generating mathematical representations directly from DNA/RNA or protein sequences, followed by the output of numerical (scalar or vector) and visual characteristics (graphs). The binary encoded sequence information is transformed into a compact analytical form, called the Iterative Canonical Form (or ICF) of Boolean functions, which can then be used as a generalized molecular descriptor. The method provides raw vector data for calculating different distance matrices, which in turn can be analyzed by neighbor-joining or UPGMA to derive a phylogenetic tree, or by principal coordinates analysis to get an ordination scattergram. The new method and the associated software for inferring phylogenetic trees are called the Boolean analysis or BOOL-AN

Trends of Business Model Research: A Bibliometric Analysis

Purpose: The purpose of this article is to provide an overview of the evolution of the business model researchwhile identifying the leading trends and suggesting future research directions.   Design/Methodology/Approach:The study consists of bibliometricanalysis, and bibliographic data visualization using the Web of Science (WoS) database, and clusteranalysis using the VOSViewer software.     Findings:The results reveal the exponential growth of the topic favored within the academic literature. The analysis identified eight clusters of co-words in thefield of the businessmodel (BM). Five relevant research trendswere identified in which the topic of the business model (BM) would developin the next years.   Research limitations:The analysis focuses on the field of management, business, finance, and economics literature. The paper describes the research activity concerninga bibliometric analysis. Therefore it does not take into consideration the quality of the publications and methodological issues.   Practical Implications:This study may serve as a model providing useful information for academic and practitioners to analyzethe topic of the business model (BM) within a certain discipline, as well as to identify research areas that need more attention to come up with theoretical and practical implications.   Originality/Value:The analysis structures and consolidates the concept of the business model (BM) in the academic research, providing valuable insights. It identifies future themes for the development of the fieldand its consolidation within the academic and business literature.   Keywords:Business model research, bibliometrics, co-word analysis, research trends, bibliographic mapping   Classification:Literature Revie

Generation and Analysis of a Social Network: Hamlet

This paper examines the generation and analysis of a social network produced from Shakespeare’s play Hamlet. An XML file of Hamlet was parsed to extract the characters within the play and also identify when the characters appeared within the same scene. After parsing the speakers and the connections between characters, a network graph was generated that displayed all the characters in Hamlet, represented by nodes, and edges that represented the connections between characters as measured by their scene co-appearance. The results of the network graph were then compared to a published social network for Hamlet created by hand. The two social networks showed strong similarities in character centrality but also showed differences in the number of character nodes and edges. In addition to the case study, we present a suite of tools that provide a framework for computational analysis of future plays

Extending the DSE: LOD support and TEI/IIIF integration in EVT

Current digital scholarly editions (DSEs) have the opportunity of evolving to dynamic objects interacting with other Internet-based resources thanks to open frameworks such as IIIF and LOD. This paper showcases and discusses two new functionalities of EVT (Edition Visualization Technology), version 2: one improving the management of named entities (f.i. personal names) through the use of LOD resources such as FOAF and DBpedia; the other, providing integration of the published text with digital images of the textual primary sources accessed from online repositories (e.g. e-codices or digital libraries such as the Vaticana or the Ambrosiana) via the IIIF protocol