An UML Profile and SOLAP Datacubes Multidimensional Schemas Transformation Process for Datacubes Risk-Aware Design

2015 ◽  
Vol 11 (4) ◽  
pp. 64-83 ◽  
Author(s):  
Elodie Edoh-Alove ◽  
Sandro Bimonte ◽  
François Pinet
Keyword(s):  
Spatial Data ◽  
New Technologies ◽  
Design Method ◽  
Transformation Process ◽  
Spatial Data Analysis ◽  
Uml Profile ◽  
Previous Proposal ◽  
On Line ◽  
Definition Of ◽  
Spatial Vagueness

Spatial Data Warehouses (SDWs) and Spatial On-Line Analytical Processing (SOLAP) systems are new technologies for the integration and the analysis of huge volume of data with spatial reference. Spatial vagueness is often neglected in these types of systems and the data and analysis results are considered reliable. In a previous work, the authors provided a new design method for SOLAP datacubes that allows the handling of vague spatial data analysis issues. The method consists of tailoring SOLAP datacubes schemas to end-users tolerance levels to identified potential risks of misinterpretation they encounter when exploiting datacubes containing vague spatial data. It this paper, the authors further their previous proposal by presenting different formal tools to support their method: it is an UML profile providing stereotypes needed to add vague, risks and tolerance levels information on datacubes schemas plus the formal definition of SOLAP datacubes schemas transformation process and functions.

scholarly journals Towards Ethics in Information Systems

2021 ◽  
Vol 12 (1) ◽  
pp. 69-82
Author(s):  
Flávia Maria Santoro ◽  
Rosa Maria E. Moreira da Costa
Keyword(s):  
Information Systems ◽  
New Technologies ◽  
Philosophy Of Technology ◽  
Theoretical Foundation ◽  
Transformation Process ◽  
Point Of View ◽  
Contemporary World ◽  
Negative Impacts ◽  
Definition Of ◽  
Almost All

Information Systems (IS) plays an essential role in shaping almost all sectors of society, such as, commerce, politics, services, entertainment, information, relationships, among others. Digital technologies have enabled a new dimension of products, transmission, storage, and access to information. The outcome of this whole transformation process is intended to provide improvement and facilitating the lives and practices of individuals in society. However, we have also to face its negative impacts. We argue that situations involving both the design and the adoption or use of IS should be analyzed from the point of view of Ethics through a well-defined process that might help the professional and/or the citizen in making decisions in sensitive contexts when conceptual conflicts show up. To justify the definition of this process, we discuss the significance of the new technologies based on Andrew Feenberg's Philosophy of Technology. Grounded on this theory, we highlight the benefits and problems of the new technologies in the contemporary world. Finally, we present the process proposal and analyze the results of its application in the context of two well-known real cases and discuss the results in light of the theoretical foundation.

scholarly journals Soft Computing Techniques in Spatial Databases

2010 ◽  
pp. 49-71
Author(s):  
Markus Schneider
Keyword(s):  
Soft Computing ◽  
Spatial Data ◽  
Type System ◽  
Type Systems ◽  
Database Systems ◽  
Data Types ◽  
Spatial Objects ◽  
Soft Computing Techniques ◽  
Definition Of ◽  
Spatial Vagueness

Spatial database systems and geographical information systems are currently only able to support geographical applications that deal with only crisp spatial objects, that is, objects whose extent, shape, and boundary are precisely determined. Examples are land parcels, school districts, and state territories. However, many new, emerging applications are interested in modeling and processing geographic data that are inherently characterized by spatial vagueness or spatial indeterminacy. Examples are air polluted areas, temperature zones, and lakes. These applications require novel concepts due to the lack of adequate approaches and systems. In this chapter, the authors show how soft computing techniques can provide a solution to this problem. They give an overview of two type systems or algebras that can be integrated into database systems and utilized for the modeling and handling of spatial vagueness. The first type system, called Vague Spatial Algebra (VASA), is based on well known, general, and exact models of crisp spatial data types and introduces vague points, vague lines, and vague regions. This enables an exact definition of the vague spatial data model since we can build it upon an already existing theory of spatial data types. The second type system, called Fuzzy Spatial Algebra (FUSA), leverages fuzzy set theory and fuzzy topology and introduces novel fuzzy spatial data types for fuzzy points, fuzzy lines, and fuzzy regions. This enables an even more fine-grained modeling of spatial objects that do not have sharp boundaries and interiors or whose boundaries and interiors cannot be precisely determined. This chapter provides a formal definition of the structure and semantics of both type systems. Further, the authors introduce spatial set operations for both algebras and obtain vague and fuzzy versions of geometric intersection, union, and difference. Finally, they describe how these data types can be embedded into extensible databases and show some example queries.

scholarly journals Fuzzy Spatial Data Types for Spatial Uncertainty Management in Databases

2011 ◽  
pp. 490-515 ◽  
Author(s):  
Markus Schneider
Keyword(s):  
Spatial Data ◽  
Database Systems ◽  
Spatial Uncertainty ◽  
Dimensional Euclidean Space ◽  
Future Research ◽  
Data Types ◽  
Spatial Objects ◽  
Fuzzy Regions ◽  
Definition Of ◽  
Spatial Vagueness

Spatial database systems and geographical information systems are currently only able to support geographical applications that deal with crisp spatial objects, that is, objects whose extent, shape, and boundary are precisely determined. Examples are land parcels, school districts, and state territories. However, many new, emerging applications are interested in modeling and processing geographic data that are inherently characterized by spatial vagueness or spatial indeterminacy. This requires novel concepts due to the lack of adequate approaches and systems. In this chapter, we focus on an important kind of spatial vagueness called spatial fuzziness. Spatial fuzziness captures the property of many spatial objects in reality that do not have sharp boundaries and interiors or whose boundaries and interiors cannot be precisely determined. We will designate this kind of entities as fuzzy spatial objects. Examples are polluted areas, temperature zones, and lakes. We propose an abstract, formal, and conceptual model of so-called fuzzy spatial data types (that is, a fuzzy spatial algebra) introducing fuzzy points, fuzzy lines, and fuzzy regions in the two-dimensional Euclidean space. This chapter provides a definition of their structure and semantics, which is supposed to serve as a specification of their implementation. Furthermore, we introduce fuzzy spatial set operations like fuzzy union, fuzzy intersection, and fuzzy difference, as well as fuzzy topological predicates as they are useful in fuzzy spatial joins and fuzzy spatial selections. We also sketch implementation strategies for the whole type system and show their integration into databases. An outlook on future research challenges rounds out the chapter.

scholarly journals Georeferencing skills and student profile. Results from a multivariate regression model

2021 ◽  
Vol 4 ◽  
pp. 1-6
Author(s):  
Gian Pietro Zaccomer ◽  
Maurizia Sigura
Keyword(s):  
Regression Model ◽  
Spatial Data ◽  
New Technologies ◽  
Multiple Regression Model ◽  
Student Knowledge ◽  
Student Profile ◽  
On Line ◽  
Profile Characteristics ◽  
The University ◽  
Academic Year

Abstract. The currently IT tools provides increased opportunities to organize professional and recreational activities by interactive maps easily accessible for users. An experiment was conducted to understand if the great potential offered by new technologies match with the ability to produce good quality spatial data by users. The goal was to assess whether their knowledge of GIS affected the quality of their mapping activity by online map-based survey with maps as part of on line questionnaire. The attention was paid to university students as target of potential users of these tools, considering different skills acquired during their studies: from theoretical courses of geography, to theoretical and practical courses (dedicated labs) on GIS. The experiment involved more than 200 students of the University of Udine during the academic year 2019–2020. In this framework, a further study was developed investigating factors playing a role in students’ ability to complete the proposed exercises. The analysis was based on a multiple regression model which assumes the number of exercises completed as a dependent variable, and the student profile characteristics (gender, type of student, knowledge of GIS, and other IT skills) as independent variables. The estimated models pointed out both students’ willingness and deep knowledge of GIS as main factors effected the students’ ability to complete the proposed exercises. Fewer effects were associated to their gender and residence.

scholarly journals Environmental Protection, Industrial Structure and Urbanization: Spatiotemporal Evidence from Beijing–Tianjin–Hebei, China

2022 ◽  
Vol 14 (2) ◽  
pp. 795
Author(s):  
Shaojun Ma ◽  
Lei Li ◽  
Huimin Ke ◽  
Yilin Zheng
Keyword(s):  
Environmental Protection ◽  
Spatial Data ◽  
Industrial Structure ◽  
Process Development ◽  
Transformation Process ◽  
Urban Agglomeration ◽  
Evaluation Index System ◽  
Spatial Data Analysis ◽  
Development Level ◽  
Low Efficiency

The Beijing–Tianjin–Hebei urban agglomeration (BTH) is striving to realize the transformation process from a low-efficiency to a high-quality development mode; however, it still has problems regarding reducing energy consumption and ecological environment pressure. Based on panel data from 2013 to 2017, this paper proposes an evaluation index system based on BTH’s “environmental protection–industrial structure–urbanization” system. In the course of applying the coupling degree model (CDM) and the coupling coordination degree model (CCDM) with exploratory spatial data analysis (ESDA) methods, this paper discusses the spatiotemporal process, development level, and spatial agglomeration characteristics of the environmental protection–industrial structure–urbanization system in each city of the BTH area. The findings reveal that the coupling degree of the BTH system is gradually increasing, and that the development level of the BTH subsystem is unbalanced: the coupling coordination level of BTH shows a positive evolution process; however, it is in a stage of low-level collaborative development, and there are obvious differences in the level of BTH coupling coordination in space, revealing the convergence of low–high and high–low types. This paper concludes by putting forward the strategy of optimizing the regional spatial pattern of urban agglomeration and implementing integrated development in order to achieve the desired coupling and coordination effects.

scholarly journals The support of multidimensional approaches in integrate monitoring for SEA: a case of study

2013 ◽  
Vol 4 (1) ◽  
pp. 51-61 ◽  
Author(s):  
C. M. Torre ◽  
M. Selicato
Keyword(s):  
Spatial Data ◽  
Carrying Capacity ◽  
Coastal Waters ◽  
Spatial Data Analysis ◽  
Human Pressure ◽  
Short Term ◽  
Urban Settlements ◽  
The Subject ◽  
Definition Of

Abstract. During the centuries, the seaside has represented a crucial pole for future human development and civilization. The use of the sea for transport and trade and the overwhelming availability of food derived from coastal waters have encouraged and strengthened the growth of urban settlements. In the same time, the human pressure menaces to destroy coastal habitats and consequently their carrying capacity that allows for many essential functions. Low-impact activities are often replaced, on the surface, by new intensive ones that are attractive in the short term, but that in the long term undermine by reducing the resilience of the coast. It is clear that, in a perspective of sustainable development, economically efficient and socially equitable use of coastal areas need to be supported inside strategies to correct these weaknesses. The definition of such strategies and their implementation in the Strategic Environmental Assessment (SEA) is an essential tool for supporting decisions and of monitoring. The issues of monitoring, more in particular, have been the subject of study and modelling by the use of Dynamic Spatial Data Analysis (DSDA), in the case of the SEA of the Coastal Plan of the Italian Apulia Region, as an information instrument for regulating the anthropogenic changes; a possibility to implement the analysis of environmental sensitivity and propensity to Coastal erosion has been explored, in order to control the level of human pressure on land. The monitoring system should provide an automatic "alert" when the dimension and the velocity of the change of land use overpass some threshold of environmental pressure.

scholarly journals Learning Feedforward Control Using Multiagent Control Approach for Motion Control Systems

Energies ◽  
2021 ◽  
Vol 14 (2) ◽  
pp. 420
Author(s):  
Phong B. Dao
Keyword(s):  
Real Time ◽  
Feedforward Control ◽  
Design Method ◽  
Mechatronic Systems ◽  
Control Approach ◽  
Runtime Environment ◽  
Multiagent Control ◽  
On Line ◽  
Promising Solution ◽  
Function Approximator

Multiagent control system (MACS) has become a promising solution for solving complex control problems. Using the advantages of MACS-based design approaches, a novel solution for advanced control of mechatronic systems has been developed in this paper. The study has aimed at integrating learning control into MACS. Specifically, learning feedforward control (LFFC) is implemented as a pattern for incorporation in MACS. The major novelty of this work is that the feedback control part is realized in a real-time periodic MACS, while the LFFC algorithm is done on-line, asynchronously, and in a separate non-real-time aperiodic MACS. As a result, a MACS-based LFFC design method has been developed. A second-order B-spline neural network (BSN) is used as a function approximator for LFFC whose input-output mapping can be adapted during control and is intended to become equal to the inverse model of the plant. To provide real-time features for the MACS-based LFFC system, the open robot control software (OROCOS) has been employed as development and runtime environment. A case study using a simulated linear motor in the presence of nonlinear cogging and friction force as well as mass variations is used to illustrate the proposed method. A MACS-based LFFC system has been designed and implemented for the simulated plant. The system consists of a setpoint generator, a feedback controller, and a time-index LFFC that can learn on-line. Simulation results have demonstrated the applicability of the design method.

scholarly journals Method for designing multi-input system identification signals using a compact time-frequency representation

2021 ◽  
Author(s):  
Mathias Stefan Roeser ◽  
Nicolas Fezans
Keyword(s):  
System Identification ◽  
Design Method ◽  
Flight Test ◽  
Compact Representation ◽  
Time Frequency ◽  
Stability And Control ◽  
Frequency Representation ◽  
Aerodynamic Parameters ◽  
Definition Of ◽  
And Control

AbstractA flight test campaign for system identification is a costly and time-consuming task. Models derived from wind tunnel experiments and CFD calculations must be validated and/or updated with flight data to match the real aircraft stability and control characteristics. Classical maneuvers for system identification are mostly one-surface-at-a-time inputs and need to be performed several times at each flight condition. Various methods for defining very rich multi-axis maneuvers, for instance based on multisine/sum of sines signals, already exist. A new design method based on the wavelet transform allowing the definition of multi-axis inputs in the time-frequency domain has been developed. The compact representation chosen allows the user to define fairly complex maneuvers with very few parameters. This method is demonstrated using simulated flight test data from a high-quality Airbus A320 dynamic model. System identification is then performed with this data, and the results show that aerodynamic parameters can still be accurately estimated from these fairly simple multi-axis maneuvers.

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