scholarly journals Calidad de Datos en Sistemas de Gestión Académica Universitaria basado en ISO/IEC 25012

Interfases ◽  
2021 ◽  
Author(s):  
Marleny Peralta Ascue Peralta Ascue
Keyword(s):  
Data Quality ◽  
Management System ◽  
Evaluation Model ◽  
Quality Of Data ◽  
Proposed Model ◽  
Academic Management ◽  
Main Input ◽  
Using Data ◽  
Primary Basis ◽  
Exploration Exploitation

This article proposes a data quality evaluation model developed on the primary basis of the ISO / IEC 25012 standard, applied to a University Academic Management System, to improve data quality. The proposed model is developed from the perspective of the data consumer and the vision of inherent data quality. The sample consisted of the data stored in the Academic Management System of the Universidad Nacional Micaela Bastidas, Apurímac, Perú, with 22 tables, 154 attributes, and 319,685 records. The model begins with data quality requirements as the main input for its evaluation and ends with an improvement plan, which is automatically implemented using data cleaning tools and SQL code. The characteristics that affect data quality problems are accuracy, consistency, compliance, and timeliness. Finally, it is concluded that it is possible to improve the quality of data by applying the proposed model, which can be used to create and generate value through the exploration, exploitation, and analysis of data for the benefit of university academic

An Integrated Conceptual Model of Performance Appraisals and Succession Planning using Multi valued Evaluation

2016 ◽  
Vol 2 (2) ◽  
Author(s):  
Shamaila Burney
Keyword(s):  
Performance Appraisal ◽  
Succession Planning ◽  
High Performance ◽  
Evaluation Model ◽  
Poor Performance ◽  
Performance Appraisals ◽  
Ordinal Scale ◽  
Proposed Model ◽  
Using Data ◽  
Internal Promotions

<span>The quality of Human Resource and leadership are the two important determinants that<span> determine the success of an organization. Though many organizations asserts that people<span> are their most valuable asset, still very few organizations follows a structured approach<span> for proper talent management i.e. the anticipation of needed human capital in<span> organization, with appropriate system for retaining and rewarding their workforce. The<span> paper proposes a model for performance based Succession Planning(SP) and<span> Performance Appraisals (PA) on the basis of ordinal scale of measurements using expert<span> opinion in terms of linguistic variables such as excellent performance high performance,<span> Moderate and poor performance. The model presented in this paper is an attempt to help<span> organizations in identifying and developing successors for the key position using data<span> gathered through performance appraisals that will help in evaluating the performance of<span> an employee using specific performance appraisals criteria. The proposed model will be<span> beneficial for organizations in strategically identifying and developing required talent<span> pool within the organization for internal promotions through performance appraisal<span> reviews and competency assessments using fuzzy logic, multi valued evaluation model.<br /><br class="Apple-interchange-newline" /></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span>

scholarly journals Manajemen Kualitas Data dan Informasi Berbantuan Sistem Informasi untuk Meningkatkan Kinerja Operasional Pabrik Pengolahan Kelapa Wawit

2017 ◽  
Vol 7 (2) ◽  
pp. 88
Author(s):  
Ahmad Fahmi Karami
Keyword(s):  
Quality Management ◽  
Data Quality ◽  
Organizational Performance ◽  
Information Management ◽  
Information Quality ◽  
Document Management ◽  
Quality Data ◽  
Strategic Decisions ◽  
Quality Of Data ◽  
Using Data

Organizational performance depends on strategic decisions taken by stakeholders in the organization, where strategic decisions of stakeholders depend on the quality of data and information available to the organization. Data and information quality called good when the data and quality has criteria that suits for users of data and information, where data and information user need on the organization will be different according to their aim and objectives, so that the criteria of data quality and information is not universal. The research aims to improve the quality management of data and information by utilizing information systems to produce good quality data and information and help improve the organization's performance on the Palm Oil Processing Factory in Indonesia. This research was conducted to know data and information quality management in producing data and information, and its contribution on the mill performance using interview methods with those who have a role in the implementation of data quality and information management, observation, and document management related to factory performance. This research resulted findings that still in the implementation of data quality and information management there are still procedures that are not undertaken, so the result of data and information not entirely suits with the user wishes. Although the procedure has not been fully implemented, using data and information production has helped data and information users in decision making and succeeded in lowering the mill breakdown by 0.10%.

Designing Information Product (IP) Maps On the Process of Data Processing and Academic Information

2017 ◽  
Vol 4 (1) ◽  
pp. 25-31 ◽  
Author(s):  
Diana Effendi
Keyword(s):  
Data Quality ◽  
Data Management ◽  
Information Management ◽  
Information Quality ◽  
Quality Data ◽  
Management Approach ◽  
Quality Of Data ◽  
Information Product ◽  
Academic Activities

Information Product Approach (IP Approach) is an information management approach. It can be used to manage product information and data quality analysis. IP-Map can be used by organizations to facilitate the management of knowledge in collecting, storing, maintaining, and using the data in an organized. The  process of data management of academic activities in X University has not yet used the IP approach. X University has not given attention to the management of information quality of its. During this time X University just concern to system applications used to support the automation of data management in the process of academic activities. IP-Map that made in this paper can be used as a basis for analyzing the quality of data and information. By the IP-MAP, X University is expected to know which parts of the process that need improvement in the quality of data and information management.   Index term: IP Approach, IP-Map, information quality, data quality. REFERENCES[1] H. Zhu, S. Madnick, Y. Lee, and R. Wang, “Data and Information Quality Research: Its Evolution and Future,” Working Paper, MIT, USA, 2012.[2] Lee, Yang W; at al, Journey To Data Quality, MIT Press: Cambridge, 2006.[3] L. Al-Hakim, Information Quality Management: Theory and Applications. Idea Group Inc (IGI), 2007.[4] “Access : A semiotic information quality framework: development and comparative analysis : Journal ofInformation Technology.” [Online]. Available: http://www.palgravejournals.com/jit/journal/v20/n2/full/2000038a.html. [Accessed: 18-Sep-2015].[5] Effendi, Diana, Pengukuran Dan Perbaikan Kualitas Data Dan Informasi Di Perguruan Tinggi MenggunakanCALDEA Dan EVAMECAL (Studi Kasus X University), Proceeding Seminar Nasional RESASTEK, 2012, pp.TIG.1-TI-G.6.

scholarly journals Response Behavior and Quality of Survey Data: Comparing Elderly Respondents in Institutions and Private Households

2021 ◽  
pp. 004912412199553
Author(s):  
Jan-Lucas Schanze
Keyword(s):  
Data Quality ◽  
The Elderly ◽  
Response Behavior ◽  
Quality Of Data ◽  
Social Surveys ◽  
Private Households ◽  
Confounding Variables ◽  
Health Related ◽  
Survey Interviews

An increasing age of respondents and cognitive impairment are usual suspects for increasing difficulties in survey interviews and a decreasing data quality. This is why survey researchers tend to label residents in retirement and nursing homes as hard-to-interview and exclude them from most social surveys. In this article, I examine to what extent this label is justified and whether quality of data collected among residents in institutions for the elderly really differs from data collected within private households. For this purpose, I analyze the response behavior and quality indicators in three waves of Survey of Health, Ageing and Retirement in Europe. To control for confounding variables, I use propensity score matching to identify respondents in private households who share similar characteristics with institutionalized residents. My results confirm that most indicators of response behavior and data quality are worse in institutions compared to private households. However, when controlling for sociodemographic and health-related variables, differences get very small. These results suggest the importance of health for the data quality irrespective of the housing situation.

scholarly journals UAV Image Multi-Labeling with Data-Efficient Transformers

2021 ◽  
Vol 11 (9) ◽  
pp. 3974
Author(s):  
Laila Bashmal ◽  
Yakoub Bazi ◽  
Mohamad Mahmoud Al Rahhal ◽  
Haikel Alhichri ◽  
Naif Al Ajlan
Keyword(s):  
Data Augmentation ◽  
Feature Representation ◽  
Aerial Image ◽  
Remote Sensing Images ◽  
Training Set ◽  
Proposed Model ◽  
Class Labels ◽  
Using Data ◽  
Uav Image

In this paper, we present an approach for the multi-label classification of remote sensing images based on data-efficient transformers. During the training phase, we generated a second view for each image from the training set using data augmentation. Then, both the image and its augmented version were reshaped into a sequence of flattened patches and then fed to the transformer encoder. The latter extracts a compact feature representation from each image with the help of a self-attention mechanism, which can handle the global dependencies between different regions of the high-resolution aerial image. On the top of the encoder, we mounted two classifiers, a token and a distiller classifier. During training, we minimized a global loss consisting of two terms, each corresponding to one of the two classifiers. In the test phase, we considered the average of the two classifiers as the final class labels. Experiments on two datasets acquired over the cities of Trento and Civezzano with a ground resolution of two-centimeter demonstrated the effectiveness of the proposed model.

scholarly journals Research on the Evaluation Model of Urban Tourism Management Efficiency with Uncertain Linguistic Information

2014 ◽  
Vol 2014 ◽  
pp. 1-4 ◽  
Author(s):  
Song-Mao Wang ◽  
Liang-Yan Fang ◽  
Feng Deng
Keyword(s):  
Decision Making ◽  
Evaluation Model ◽  
Multiple Attribute Decision Making ◽  
Urban Tourism ◽  
Weighted Averaging ◽  
Linguistic Information ◽  
Management Efficiency ◽  
Tourism Management ◽  
Proposed Model ◽  
Multiple Attribute

We investigate the multiple attribute decision making problems for evaluating the urban tourism management efficiency with uncertain linguistic information. We utilize the uncertain linguistic weighted averaging (ULWA) operator to aggregate the uncertain linguistic information corresponding to each alternative and get the overall value of the alternatives and, then rank the alternatives and select the most desirable one(s). Finally, a numerical example for evaluating the urban tourism management efficiency with uncertain linguistic information is used to illustrate the proposed model.

Multiparameter Real-World System Identification using Iterative Residual Tuning

2021 ◽  
pp. 1-12
Author(s):  
Adam Allevato ◽  
Mitch W Pryor ◽  
Andrea L. Thomaz
Keyword(s):  
System Identification ◽  
Robot Control ◽  
Tracking Error ◽  
Nonlinear System Identification ◽  
Visual Observation ◽  
Free System ◽  
Proposed Model ◽  
Derivative Free ◽  
Identification Technique ◽  
Using Data

Abstract In this work we consider the problem of nonlinear system identification, using data to learn multiple and often coupled parameters that allow a simulator to more accurately model a physical system or mechanism and close the so-called reality gap for more accurate robot control. Our approach uses iterative residual tuning (IRT), a recently-developed derivative-free system identification technique that utilizes neural networks and visual observation to estimate parameter differences between a proposed model and a target model. We develop several modifications to the basic IRT approach and apply it to the system identification of a 5-parameter model of a marble rolling in a robot-controlled labyrinth game mechanism. We validate our technique both in simulation—where we outperform two baselines—and on a real system, where we achieve marble tracking error of 4% after just 5 optimization iterations.

scholarly journals A simple model for the estimation of the number of fatalities due to floods in central Europe

2014 ◽  
Vol 14 (7) ◽  
pp. 1663-1676 ◽  
Author(s):  
M. Brazdova ◽  
J. Riha
Keyword(s):  
Central Europe ◽  
Pairwise Comparison ◽  
The Czech Republic ◽  
Factors Affecting ◽  
Hazard Exposure ◽  
Proposed Model ◽  
River Floods ◽  
Using Data ◽  
Human Losses ◽  
Significant Factors

Abstract. In this paper a model for the estimation of the number of potential fatalities is proposed based on data from 19 past floods in central Europe. First, the factors contributing to human losses during river floods are listed and assigned to the main risk factors: hazard – exposure – vulnerability. The order of significance of individual factors has been compiled by pairwise comparison based on experience with real flood events. A comparison with factors used in existing models for the estimation of fatalities during floods shows good agreement with the significant factors identified in this study. The most significant factors affecting the number of human losses in floods have been aggregated into three groups and subjected to correlation analysis. A close-fitting regression dependence is proposed for the estimation of loss of life and calibrated using data from selected real floods in central Europe. The application of the proposed model for the estimation of fatalities due to river floods is shown via a flood risk assessment for the locality of Krnov in the Czech Republic.

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