Mapping the Land Development Processes Using Data Transformation and Clustering Methods

2020 ◽  
Author(s):  
Pariya Pourmohammadi ◽  
Donald A. Adjeroh ◽  
Michael P. Strager
Keyword(s):  
Land Development ◽  
Data Transformation ◽  
Clustering Methods ◽  
Development Processes ◽  
Using Data

Cpk index estimation using data transformation

1995 ◽  
Vol 29 (1-4) ◽  
pp. 55-58 ◽  
Author(s):  
Luis Armando Rosas Rivera ◽  
Norma F. Hubele ◽  
Frederick P. Lawrence
Keyword(s):  
Data Transformation ◽  
Using Data ◽  
Index Estimation

scholarly journals 3D DIGITAL CADASTRE JOURNEY IN VICTORIA, AUSTRALIA

2017 ◽  
Vol IV-4/W5 ◽  
pp. 117-123 ◽  
Author(s):  
D. Shojaei ◽  
H. Olfat ◽  
M. Briffa ◽  
A. Rajabifard
Keyword(s):  
Spatial Information ◽  
Three Dimensional ◽  
Land Development ◽  
Technical Aspect ◽  
Real Property ◽  
3D Data ◽  
National Body ◽  
Development Processes ◽  
Increasing Demand ◽  
Cadastral System

Land development processes today have an increasing demand to access three-dimensional (3D) spatial information. Complex land development may need to have a 3D model and require some functions which are only possible using 3D data. Accordingly, the Intergovernmental Committee on Surveying and Mapping (ICSM), as a national body in Australia provides leadership, coordination and standards for surveying, mapping and national datasets has developed the Cadastre 2034 strategy in 2014. This strategy has a vision to develop a cadastral system that enables people to readily and confidently identify the location and extent of all rights, restrictions and responsibilities related to land and real property. <br><br> In 2014, the land authority in the state of Victoria, Australia, namely Land Use Victoria (LUV), has entered the challenging area of designing and implementing a 3D digital cadastre focused on providing more efficient and effective services to the land and property industry. LUV has been following the ICSM 2034 strategy which requires developing various policies, standards, infrastructures, and tools. Over the past three years, LUV has mainly focused on investigating the technical aspect of a 3D digital cadastre. This paper provides an overview of the 3D digital cadastre investigation progress in Victoria and discusses the challenges that the team faced during this journey. It also addresses the future path to develop an integrated 3D digital cadastre in Victoria.

scholarly journals An internal evaluation of higher education curriculum using data transformation model

2020 ◽  
Vol 10 (2) ◽  
pp. 1-9
Author(s):  
Michael Bobias Cahapay
Keyword(s):  
Higher Education ◽  
Data Transformation ◽  
Transformation Model ◽  
Data Sets ◽  
Education Curriculum ◽  
Evaluation Theory ◽  
Internal Evaluation ◽  
Higher Education Curriculum ◽  
Mixed Method Design ◽  
Using Data

A curriculum does not exist in a void; internal members play a key role in responding to the different forces that continually shape it. One of the approaches to evaluation is through internal evaluation from the perspective of the inside members who work with the curriculum. However, the internal evaluation may pose restricted evaluation due to the innate subjective human judgment. Considering these contexts, this paper performed a pilot internal evaluation of a selected aspect of a higher education curriculum using a triangulation mixed method design called the data transformation model. Based on the results, the evaluation using the data transformation model probed important points of agreement and discrepancy in the data sets. The implications for evaluation theory and curriculum practice are discussed. It is suggested that an extension of the current formative internal evaluation continuing the tradition of data transformative model but progressively focusing on larger aspects of the curriculum should be further conducted.

scholarly journals Hierarchical kt jet clustering for parallel architectures

2017 ◽  
Vol 9 (2) ◽  
pp. 195-213
Author(s):  
Richárd Forster ◽  
Ágnes Fülöp
Keyword(s):  
Hierarchical Clustering ◽  
Particle Physics ◽  
Clustering Algorithm ◽  
Clustering Algorithms ◽  
High Energy ◽  
Theoretical Physics ◽  
High Energy Particle ◽  
Clustering Methods ◽  
Hierarchical Clustering Methods ◽  
Using Data

AbstractThe reconstruction and analyze of measured data play important role in the research of high energy particle physics. This leads to new results in both experimental and theoretical physics. This requires algorithm improvements and high computer capacity. Clustering algorithm makes it possible to get to know the jet structure more accurately. More granular parallelization of the kt cluster algorithms was explored by combining it with the hierarchical clustering methods used in network evaluations. The kt method allows to know the development of particles due to the collision of high-energy nucleus-nucleus. The hierarchical clustering algorithms works on graphs, so the particle information used by the standard kt algorithm was first transformed into an appropriate graph, representing the network of particles. Testing was done using data samples from the Alice offine library, which contains the required modules to simulate the ALICE detector that is a dedicated Pb-Pb detector. The proposed algorithm was compared to the FastJet toolkit's standard longitudinal invariant kt implementation. Parallelizing the standard non-optimized version of this algorithm utilizing the available CPU architecture proved to be 1:6 times faster, than the standard implementation, while the proposed solution in this paper was able to achieve a 12 times faster computing performance, also being scalable enough to efficiently run on GPUs.

A House Divided: Norm Fragmentation in the International Human Rights Regime

2021 ◽  
Author(s):  
Rochelle Terman ◽  
Zoltán I Búzás
Keyword(s):  
Human Rights ◽  
Periodic Review ◽  
Clustering Methods ◽  
International Human Rights ◽  
Non Profit ◽  
Human Rights Regime ◽  
Data Driven Approach ◽  
International Human ◽  
Using Data ◽  
And Migration

Abstract Although human rights are widely endorsed in the abstract, significant variation exists in the degree to which different states endorse different rights. To what extent is the international human rights community divided? This research note examines fragmentation in the international human rights regime using an inductive, data-driven approach. We trace states’ normative positions as they are expressed in the Universal Periodic Review (UPR), a UN mechanism where states “peer review” one another's human rights practices. We analyze over 56,000 recommendations from the first two cycles of the UPR using data collected from the non-profit organization UPR Info. Employing unsupervised scaling and clustering methods, we find four interstate clusters or factions emerging from this process: Civil Libertarians, Developmentalists, Institutionalists, and Egalitarians. Our results indicate that the international human rights regime reflects less a singular community than a set of communities, each constituted by a distinct configuration of normative positions. They also reveal new insights about specific norms: while women's rights and children's rights are broadly endorsed, norms related to sexuality and migration are more contentious and partisan. While our findings are descriptive, they lay the foundation for new causal questions of interest to scholars of human rights and international norms.

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