An Application of an Intelligent Data Warehouse for Modelling Spatiotemporal Objects

Author(s):  
Georgia Garani ◽  
Nunziato Cassavia ◽  
Ilias K. Savvas

Data warehouse (DW) systems provide the best solution for intelligent data analysis and decision-making. Changes applied to data gradually in real life have to be projected to the DW. Slowly changing dimension (SCD) refers to the potential volatility of DW dimension members. The treatment of SCDs has a significant impact over the quality of data analysis. A new SCD type, Type N, is proposed in this research paper, which encapsulates volatile data into historical clusters. Type N preserves complete history of changes, additional tables, columns, and rows are not required, extra join operations are omitted, and surrogate keys are avoided. Type N is implemented and compared to other SCD types. Good candidates for practicing SCDs are spatiotemporal objects (i.e., objects whose shape or geometry evolves slowly over time). The case study used and implemented in this paper concerns shape-shifting constructions (i.e., buildings that respond to changing weather conditions or the way people use them). The results demonstrate the correctness and effectiveness of the proposed SCD Type N.

Testing is very essential in Data warehouse systems for decision making because the accuracy, validation and correctness of data depends on it. By looking to the characteristics and complexity of iData iwarehouse, iin ithis ipaper, iwe ihave itried ito ishow the scope of automated testing in assuring ibest data iwarehouse isolutions. Firstly, we developed a data set generator for creating synthetic but near to real data; then in isynthesized idata, with ithe help of hand icoded Extraction, Transformation and Loading (ETL) routine, anomalies are classified. For the quality assurance of data for a Data warehouse and to give the idea of how important the iExtraction, iTransformation iand iLoading iis, some very important test cases were identified. After that, to ensure the quality of data, the procedures of automated testing iwere iembedded iin ihand icoded iETL iroutine. Statistical analysis was done and it revealed a big enhancement in the quality of data with the procedures of automated testing. It enhances the fact that automated testing gives promising results in the data warehouse quality. For effective and easy maintenance of distributed data,a novel architecture was proposed. Although the desired result of this research is achieved successfully and the objectives are promising, but still there's a need to validate the results with the real life environment, as this research was done in simulated environment, which may not always give the desired results in real life environment. Hence, the overall potential of the proposed architecture can be seen until it is deployed to manage the real data which is distributed globally.


Author(s):  
Tammy Horton ◽  
Serge Gofas ◽  
Andreas Kroh ◽  
Gary C.B. Poore ◽  
Geoffrey Read ◽  
...  

The World Register of Marine species (WoRMS) has been established for a decade. The early history of the database involved compilation of existing global and regional species registers. This aggregation, combined with changes to data types and the changing needs of WoRMS users, has resulted in an evolution of data-entry consistency over time. With the task of aggregating the accepted species names for all marine species approaching completion, our focus has shifted to improving the consistency and quality of data held while keeping pace with the addition of > 2000 new marine species described annually. This paper defines priorities and longer-term aims that promote standardisation within and interoperability among biodiversity databases, provides editors with further information on how to input nomenclatural data in a standardised way and clarifies for users of WoRMS how and why names are represented as they are. We 1) explain the categories of names included; 2) list standard reasons used to explain why a name is considered ‘unaccepted’ or ‘uncertain’; 3) present and explain the more difficult situations encountered; 4) describe categories of sources and notes linked to a taxon; and 5) recommend how type material, type locality and environmental information should be entered.


2019 ◽  
Vol 53 (3) ◽  
pp. 807-827
Author(s):  
Ali Balma ◽  
Mehdi Mrad

This paper addresses the problem of allocating the terminal nodes to the hub nodes in a telecommunication network. Since the flow processing induces some undesirable delay, the objective is to minimize the total flow processed by the hubs. This study focuses on a real life network of the tunisian operator Tunisie Telecom whose operations managers are concerned by the quality of service. We provide three compact formulations that give optimal solutions for networks of large size. In particular, the last two are obtained by applying the Reformulation-Linearization Technique to a nonlinear formulation of the problem. The latter formulation derived within this approach is the most computationally effective, as pointed out by the computational experiments conducted on the real life network of Tunisie Telecom with 110 nodes and 5 hubs. Finally, we discuss and compare between the single allocation and double allocation configurations.


Multilingua ◽  
2018 ◽  
Vol 37 (1) ◽  
pp. 25-52 ◽  
Author(s):  
Mieke Vandenbroucke

AbstractThis paper focuses on how different historical stages of socio-economic development in Brussels are played out on the ground over time in one particular inner-city neighbourhood, the Quartier Dansaert. In particular, I document the history of this neighbourhood and how urban change and gentrification have impacted the outlook of multilingualism and the development of multilingual discourses and language hierarchies in its material and semiotic landscape over time. By using the rich history of multilingualism in the Quartier Dansaert as a case-study, I argue in favour of more historically-sensitive and longitudinal approaches to social and, in particular, linguistic change as played out in urban landscape.


2018 ◽  
Vol 2 (2) ◽  
pp. 405
Author(s):  
Aan Ratmanto

The Department of History, Faculty of Cultural Sciences, the University of Gadjah Mada in 2015 made a milestone in the development of historiography in Indonesia. They made a bold move to produce a scholar with a documentary film work instead of a thesis. In the future, it is not impossible that this step will soon be followed by other universities in Indonesia. This paper was written in response to these developments. In this digital era-and in the midst of still low interest in reading in Indonesia-emerged the discourse to seek new media for historiography in Indonesia. The film, especially documentary films are seen as new media that match the characteristics of history because of they both present real-life reality. Moreover, Indonesia with the diversity of tribes and culture and history, of course, save a variety of themes that will not run out to be appointed a documentary. Based on that, this paper will discuss the types, forms, and format of the documentary that is suitable and possible to be produced by history students as a substitute for thesis-considering the cost of film production tends to be higher than thesis research. Thus, the film of a documentary a college student, especially a history produces the quality of research and aestheticsKata 


Author(s):  
Syafi'i Syafi'i

The leadership of the kiai becomes very important in Islamic boarding school because the development of the quality of pesantren education depends on the competence of the leader, the meaning of the leader here is the kiai or caretaker of the boarding school. This study aims to describe the first role of leadership in improving the quality of education, secondly the leadership of kiai that is effective in improving the quality of education in Islamic boarding schools.This research uses a qualitative method, with a case study in Bahrul Maghfiroh Islamic Boarding School in Malang. Data collection was carried out using interview, observation, and documentation and observation techniques. Data analysis uses descriptive qualitative methods and inductive thinking patterns. The purpose is to analyze the data obtained from field objects, and then to be related to relevant theories.The results showed: 1) The role of the kiai in improving quality in the Bahrul Maghfiroh Islamic boarding school in Malang is as a manager, educator, human resource empowerment, decision maker, attainee of the pesantren, motivator and supervisor. 2) Effective kiai leadership is leadership that builds cooperation with kiai or other institutions, regenerates kiai and builds good relations with the community.


MADRASAH ◽  
2021 ◽  
Vol 13 (2) ◽  
pp. 114-125
Author(s):  
Raden Adji Suryo Utomo ◽  
Fitri Nur Mahmudah

The implementation of learning is the most important part in improving the quality of education. The Covid-19 pandemic period is part of the challenge for education so that learning continues. The purpose of this study was to investigate in depth the implementation of distance learning during the Covid-19 pandemic. The method used in this research is qualitative with a case study approach. The research was conducted at Muhammadiyah Pakel Elementary School. The data sources in this study were teachers, parents, and students. Data collection techniques using structured interviews assisted with guidelines that are structured questions systematically. Data analysis using the Denzin Licoln case study model assisted by atlas.ti software version 8. The technique used to improve the quality of research is source triangulation. The results of this study provide information that in the implementation of the implementation of distance learning there are three factors, namely policy, distance learning process, and human resource activeness. These three factors are novelty which can be recommendations for the three education centers in order to be part of improving the quality of distance learning education during the Covid-19 pandemic.


Author(s):  
Mario Alguacil Jiménez ◽  
Ferran Calabuig Moreno ◽  
Juan M. Núnez-Pomar ◽  
Josep Crespo Hervás

In sport context, many contributions are involved in the perception of quality and satisfaction in sport services, but in regards to brand perception, such studies are much less common. Virtually no work is aimed at brand awareness of sports services. In the book chapter the authors expose a case study that analyze the users perception of the image of the service and is related to some performance indicators such as quality of service, satisfaction and future intentions. Data analysis is performed using structural equations and measurement scales adapted to sports facilities. The results of this study show that quality is explained by congruence with a high percentage of variance (76.6%), the latter concept being the aspect with the greatest predictive weight. Furthermore, future intentions are explained by attitudes towards the brand and quality, the latter being the element with greater predictive power.


Author(s):  
Aizhan Tursunbayeva ◽  
Stefano Di Lauro ◽  
Gilda Antonelli

A real-life case study presented in this chapter reports on how organizational network analysis approach was used in a medium-sized Italian company with circa 100 employees to examine how the company employees were connected by shared values at work, what these values are, and whether and how their value connectedness impacted the quality of their collaboration. The findings indicate that there was a positive correlation between shared work values and work collaboration, present benchmarks for network parameters, as well as propose macro-categories of work values. To the best of the authors' knowledge, this is the first study to use the network-analysis approach to explore shared values and employee collaboration at work. The chapter should be of substantial interest not only to academic scholars but also to organizational leaders and HR practitioners.


Author(s):  
Eric Infield ◽  
Laura Sebastian-Coleman

This paper is a case study of the data quality program implemented for Galaxy, a large health care data warehouse owned by UnitedHealth Group and operated by Ingenix. The paper presents an overview of the program’s goals and components. It focuses on the program’s metrics and includes examples of the practical application of statistical process control (SPC) for measuring and reporting on data quality. These measurements pertain directly to the quality of the data and have implications for the wider question of information quality. The paper provides examples of specific measures, the benefits gained in applying them in a data warehouse setting, and lessons learned in the process of implementing and evolving the program.


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