scholarly journals An evaluation of Quasi-Moment-Method calibrated pathloss models for Benin City Nigeria

2021 ◽  
Vol 40 (3) ◽  
pp. 472-483
Author(s):  
M.A.K. Adelabu ◽  
A.A. Ayorinde ◽  
H.A. Muhammed ◽  
F.O. Okewole ◽  
A.I. Mowete
Keyword(s):  
Rural Area ◽  
Moment Method ◽  
Model Calibration ◽  
Measurement Data ◽  
Fortran Program ◽  
Radiowave Propagation ◽  
Benin City ◽  
Optimum Model ◽  
Definition Of ◽  
Cellular Mobile

This paper introduces the Quasi-Moment-Method (QMM) as a novel radiowave propagation pathloss model calibration tool, and evaluates its performance, using field measurement data from different cellular mobile communication network sites in Benin City, Nigeria. The QMM recognizes the suitability of component parameters of existing basic models for the definition of ‘expansion’ and ‘testing functions’ in a Galerkin approach, and simulations were carried out with the use of a FORTRAN program developed by the authors, supported by matrix inversion in the MATLAB environment. Computational results reveal that in terms of both Root Mean Square (RMS) and Mean Prediction (MP) errors, QMM-calibrated models performed much better than an ‘optimum’ model reported for the NIFOR (Benin City), by a recent publication. As a matter of fact, the QMM-calibrated COST231 (rural area) model recorded reductions in RMS error of between 31.5% and 71% compared with corresponding metrics due to the aforementioned ‘optimum’ model. The simulation results also revealed that of the five basic models (COST231-rural area and suburban city, ECC33 (medium and large sized cities), and Ericsson models) utilized as candidates, the two ECC33 models, whose performances were consistently comparable, represented the best models for QMM-model calibration in the Benin City environments investigated.

scholarly journals STUDI PERAMBATAN KESALAHAN SISTEMATIS LUAS LAHAN PARKIR KAMPUS MENGGUNAKAN PENDEKATAN LUAS SEGITIGA SEMBARANG

2019 ◽  
Vol 13 (1) ◽  
pp. 14
Author(s):  
Hendro Supratikno ◽  
David Premana
Keyword(s):  
Systematic Error ◽  
Error Propagation ◽  
Measurement Data ◽  
Systematic Errors ◽  
Random Errors ◽  
Land Area ◽  
Parking Lots ◽  
Parking Lot ◽  
Data Error ◽  
Definition Of

Parking is a condition of not moving a vehicle that is temporary because it was abandoned by the driver. Included in the definition of parking is every vehicle that stops at certain places whether stated by traffic signs or not, and not solely for the benefit of raising and / or lowering people and / or goods.Campus 3 Lumajang State Community Academy has facilities and infrastructure prepared by the Lumajang Regency government. However, the parking lots provided cannot accommodate vehicles optimally because of the ratio of the number of vehicles and the area of the parking area that is not appropriate. This is because the area of the parking lot is not analyzed by data error when measuring.Each measurement data is assumed to have errors both systematic errors, random errors, and large errors (blunders), so that in the measurement of parking lots certainly there are errors. From this the authors intend to conduct research to find out how the propagation of systematic errors and the large systematic errors of the area of campus parking lot 3 Lumajang Community Academy.The methods used in this study include preparing materials and tools, making land sketches, decomposing them, determining distances using theodolite, determining land area equations, and finding systematic error propagation. So that the final goal in this study is to find large systematic errors in the parking area of Campus 3 of the Lumajang State Community Academy

scholarly journals On Some Properties of the Quasi-Moment-Method Pathloss Model Calibration

2021 ◽  
Vol 9 (4) ◽  
pp. 129
Author(s):  
Ayorinde Ayotunde ◽  
Adelabu Michael ◽  
Muhammed Hisham ◽  
Okewole Francis ◽  
Mowete Ike
Keyword(s):  
Moment Method ◽  
Model Calibration

scholarly journals An Overview of the National Quality Strategy: Where Do Nurses Fit?

2013 ◽  
Vol 18 (3) ◽  
Author(s):  
Rosemary Kennedy ◽  
Judy Murphy ◽  
Darryl Roberts
Keyword(s):  
Measurement Data ◽  
Quality Measurement ◽  
Advisory Committees ◽  
Quality Healthcare ◽  
Call To Action ◽  
Task Forces ◽  
National Quality ◽  
History Of ◽  
Federal Advisory Committees ◽  
Definition Of

The definition of quality healthcare, its accurate measurement, and its effective management is nebulous and constantly evolving. Even the most respected and knowledgeable experts cannot come to consensus on exactly what quality means. Levels of measurement, as well as questions of whom, how, and when to measure are topics of continual deliberation. These discussions occur at multiple levels through councils, committees, workgroups, task forces, and expert panels. Many policy-related decisions these groups make affect nurses and nursing care. All of them affect how patients receive or engage in healthcare. This article discusses the National Quality Strategy by offering a description and history of the quality conversation, including federal advisory committees and quality measurement data standards. There are several gaps in the quality conversation to which nurses could contribute valuable insights. The authors describe ways that nurses can engage in the national quality agenda. The article concludes with a call to action to encourage nurses to take a larger role in driving the National Quality Strategy.

scholarly journals SMART VILLAGES AND RURAL DEVELOPMENT

2021 ◽  
Vol 20 (2) ◽  
pp. 39-46
Author(s):  
Aleksandra Górecka ◽  
Zoran Jezic ◽  
Benjamin Kardum
Keyword(s):  
Rural Development ◽  
Rural Area ◽  
Social Exclusion ◽  
Agricultural Policy ◽  
Decision Makers ◽  
Agricultural Activities ◽  
Gradual Reduction ◽  
European Regulations ◽  
Local Potentials ◽  
Definition Of

The “smart village” concept is relatively new among EU decision- and policy it is a result of many-it is a result of many years of debate, economic and territorial inequalities, social exclusion, diversification of certain areas, gradual reduction of agricultural activities and the interaction of cohesion, regional, and common agricultural policy. The concept of smart villages implies saving villages and their inhabitants, protecting cultural heritage and using local potentials to meet modern challenges. In its initial stages, it requires activities of all stakeholders, from individuals living in the rural area in question to decision-makers participating in identifying the strengths, threats, opportunities, and weaknesses of a certain rural area. Apart from the theoretical definition of smart villages, this paper aims to analyse European regulations of smart villages, and to define the challenges and smart village traps in rural development and ways in which they can be prevented.

scholarly journals Whole building validation for simulation programs including synthetic users and heating systems: experimental design

2020 ◽  
Vol 172 ◽  
pp. 22003
Author(s):  
Matthias Kersken ◽  
Paul Strachan ◽  
Eirini Mantesi ◽  
Graeme Flett
Keyword(s):  
Experimental Design ◽  
Large Scale ◽  
Measurement Data ◽  
Internal Heat ◽  
Quality Measurement ◽  
Building Energy ◽  
Energy Performance ◽  
Weather Data ◽  
Air Source Heat Pump ◽  
Definition Of

A large-scale study for validating building energy simulation programs against measured data was undertaken within IEA EBC Annex 71 “Building energy performance assessment based on optimized in-situ measurements” as a more complex and realistic successor of the dataset created previously in IEA EBC Annex 58. The validation method consists of a set of high quality measurement data and a precise documentation of all boundary conditions. This enables a user to create a complete model of the different validation scenarios. The results of this model can be compared to the real measurement data. Because of the detailed modelling, the remaining deviations should indicate the limitations of the tool under investigation. The definition of the scenarios consists of extensive weather data and a detailed description of the building geometry, components compositions, thermal bridges, air tightness, ventilation, etc. In addition to the previous Annex 58 dataset this experiment contains synthetic users with internal heat and moisture gains, operated doors and windows and underfloor heating with an air source heat pump. This paper sets out the experimental design, a key element in ensuring a useful experimental dataset.

scholarly journals Legal Issue of the Definition of the Rural Area

2017 ◽  
Vol 26 (1) ◽  
pp. 299
Author(s):  
Magdalena Krzysztofik
Keyword(s):  
Rural Area ◽  
Legal Issue ◽  
Definition Of

ECONOMIC SECURITY OF THE RURAL TERRITORIES DEVELOPMENT IN UKRAINE

2018 ◽  
Vol 7 (1) ◽  
pp. 44-55
Author(s):  
Nataliia Pavlikha ◽  
Nataliia Khomiuk
Keyword(s):  
Rural Development ◽  
Rural Area ◽  
Economic Security ◽  
Demographic Characteristics ◽  
The State ◽  
Security Levels ◽  
Definition Of

The article illustrates various approaches to the essence of such categories as “economic security”, “economic security of the state” and “development of rural territories”. The views of scientists on the definition of economic security levels are systematized. The interaction of the “economic security” and “development of rural territories” concepts is substantiated. The modern tendencies of the rural territories development in Ukraine are researched. The Concept of the Development of Rural Territories in Ukraine is considered. It was found that ensuring the economic security of rural development should be based on the principles of unity and integrity, taking into account the process of decentralization, which is carried out through the formation of communities taking into account the geographic, economic, ecological, ethnic and demographic characteristics of each rural area entity.

scholarly journals ImmoGap – Analysis of the performance gap of apartment buildings

2019 ◽  
Vol 111 ◽  
pp. 04016
Author(s):  
Igor Mojic ◽  
Meta Lehmann ◽  
Stefan van Velsen ◽  
Michel Haller
Keyword(s):  
Measurement Data ◽  
High Time Resolution ◽  
Literature Study ◽  
Performance Gap ◽  
User Behaviour ◽  
Heat Demand ◽  
Definition Of ◽  
Heating Energy Consumption ◽  
Multifamily Buildings ◽  
Term Performance

Within the project ImmoGap, the so-called performance gap for multifamily buildings was analysed. It contributes to a better classification and a clearer definition of the term “performance gap”. As a first step, a literature study on this topic was carried out. In principle, the “Performance Gap” is understood as an additional consumption of energy or a failure to meet energy benchmarks. The term “Performance Gap” suggests that a desired service is not provided. This is critical, because there are several reasons why a building consumes more energy than originally planned. In the project, the heating energy consumption of 65 multifamily buildings was compared with the design heating demand according to the Swiss standard SIA 380/1 (based on EN ISO 13790:2008). In contrast to other studies, the project team was able to access measurement data with a very high time resolution. On average, the heat demand calculated with standard use is exceeded by 44%. Four of the buildings show an additional consumption between 100% and 115%. Detailed investigations with simulations and measurements show that the additional consumption can largely be explained by the user behaviour regarding shading, ventilation and room temperature, which deviate from the standard. If the observed user behaviour was already used in the demand calculation, the examined buildings on average would not show any “performance gap”.

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