Investigating the impact of input variable selection on daily solar radiation prediction accuracy using data-driven models: a case study in northern Iran

2021 ◽  
Author(s):  
Mohammad Sina Jahangir ◽  
Seyed Mostafa Biazar ◽  
David Hah ◽  
John Quilty ◽  
Mohammad Isazadeh
Keyword(s):  
Solar Radiation ◽  
Variable Selection ◽  
Prediction Accuracy ◽  
Data Driven ◽  
Northern Iran ◽  
Using Data ◽  
The Impact

scholarly journals Google Traffic sebagai Masukan Kebijakan Transportasi Perkotaan (Studi Kasus: Kota Bandar Lampung)

2020 ◽  
Vol 22 (3) ◽  
pp. 409-417
Author(s):  
Muhammad Zainal Ibad ◽  
Rahayu Sulistyorini ◽  
Chania Rahmah
Keyword(s):  
Urban Areas ◽  
Urban Transportation ◽  
Transportation Policy ◽  
Time Data ◽  
Global Positioning ◽  
Transportation Policies ◽  
Movement System ◽  
Using Data ◽  
The Impact

Congestion in urban areas is vulnerable because of the impact of the growth of activities and an increasingly specialized and complex economy. For this reason, it is necessary to formulate a good urban transportation policy to accommodate increased urban transportation needs. Google Traffic is a feature found on Google Maps to see the level of congestion in an area. Google Traffic can detect an area with red, yellow or green indications through the principle of Real Time Data using data from the Global Positioning System (GPS). This study wanted to see how the use of the Google Traffic Feature as input to urban transportation policies by looking at existing urban transportation policies, analyzing the movement system model on Google Traffic, and analyzing the development of Google Traffic model policies, which would be useful for the development of Urban Transportation Policies, especially Bandar Lampung City as a case study.

Standardizing Instructions for Ice and Cold Pack Use Can Mitigate Summer Temperatures on Two Commercially Available Outdoor Courier Lockboxes

2021 ◽  
Vol 156 (Supplement_1) ◽  
pp. S119-S120
Author(s):  
S A Hart ◽  
J R Wiencek
Keyword(s):  
Extreme Temperatures ◽  
Direct Sunlight ◽  
Data Loggers ◽  
Summer Temperatures ◽  
The Mean ◽  
Using Data ◽  
Cold Pack ◽  
The Impact ◽  
And Storage

Abstract Introduction/Objective Clinical and Laboratory Standards Institute document GP44 recommends samples avoid temperatures >22°C during sample transport and storage. Outdoor courier lockboxes used in external sample transport can experience extreme temperatures (>40°C) in the summer. Ice (frozen at -20°C) and cold (refrigerated at 4-8°C) packs can be used to reduce internal lockbox temperatures during hot summer days. Unfortunately, there are no universally accepted instructions to maintain internal lockbox temperatures during these conditions. Therefore, our goal was to elucidate the impact of placing ice and cold packs at two specific time points to mitigate external summer temperatures in two commercially available outdoor courier lockboxes used at our institution. Methods/Case Report Two pairs of uniquely manufactured courier lockboxes (steel vs. urethane polymer) were placed outside in direct sunlight in Nashville, Tennessee during the second week of June 2021. Ambient outdoor and lockbox temperatures were monitored using data loggers during a four-day cycle. Each type of lockbox design had a control with no ice or cold packs. These controls were then compared to each experimental, paired lockbox with four ice packs placed at 8am and replaced with four cold packs at 4pm. Results (if a Case Study enter NA) The mean ambient outdoor temperature over these four days was 27.7°C (range: 22.2-39.8°C). Temperatures within the steel and urethane polymer lockboxes without ice or cold packs was 28.3°C (range: 22.4-40.8°C) and 31.6°C (range: 23.8-41.0°C), respectively. The addition of four ice packs at 8am and replaced with four cold packs at 4pm reduced temperatures in the steel box to 24.3°C (range: 17.4-27.9°C) whereas in the urethane polymer box temperatures were reduced to 13.4°C (range: 6.6-18.1°C). Conclusion Temperatures inside outdoor lockboxes can increase in summer commonly above the outdoor ambient temperature. Standardizing instructions for ice and cold packs can reduce internal outdoor courier lockbox temperatures during summer months, especially in urethane polymer lockboxes.

scholarly journals Vulnerability in a tracked society: Combining tracking and survey data to understand who gets targeted with what content

2020 ◽  
Vol 22 (11) ◽  
pp. 1996-2017
Author(s):  
Nadine Bol ◽  
Joanna Strycharz ◽  
Natali Helberger ◽  
Bob van de Velde ◽  
Claes H de Vreese
Keyword(s):  
Survey Data ◽  
Online Communication ◽  
Data Driven ◽  
Health Conditions ◽  
User Characteristics ◽  
Individual Perceptions ◽  
Health Related ◽  
Online Tracking ◽  
The Impact

While data-driven personalization strategies are permeating all areas of online communication, the impact for individuals and society as a whole is still not fully understood. Drawing on Facebook as a case study, we combine online tracking and self-reported survey data to assess who gets targeted with what content. We tested relationships between user characteristics (i.e. socio-demographic and individual perceptions) and exposure to branded content on Facebook. Findings suggest that social media use sophisticated algorithms to target specific groups of users, especially in the context of gender-stereotyping and health. Health-related content was predominantly targeted at older users, females, and at those with higher levels of trust in online companies, as well as those in poorer health conditions. This study provides a first indication of unfair targeting that reinforces stereotypes and creates inequalities, and suggests rethinking the impact of algorithmic targeting in creating new forms of individual and societal vulnerabilities.

The impact of accreditation agencies and other powerful stakeholders on the performance measurement in Polish universities

2019 ◽  
Vol 14 (1) ◽  
pp. 84-102 ◽  
Author(s):  
Dorota Dobija ◽  
Anna Maria Górska ◽  
Anna Pikos
Keyword(s):  
Performance Measurement ◽  
Performance Information ◽  
Case Study Method ◽  
Content Type ◽  
Additional Layer ◽  
Using Data ◽  
Polish Higher Education ◽  
The Impact ◽  
Collection Methods

Purpose The purpose of this paper is to extend the understanding of how internal organisational processes change in response to external demands, by investigating the changes undertaken by two Polish business schools (b-schools) in anticipation of and in response to the demands of accreditation agencies (AAs) and other powerful stakeholders. Specifically, it examines the internal research-related performance measurement (PM) system and changes in the use of performance information (PI). Design/methodology/approach The case study method is adopted, using data from publicly available documents and interviews with the faculty and management at the two schools. The data are interpreted and analysed using the neo-institutional theory. Findings Powerful stakeholders are the primary reason for changes in PM systems and the manner in which PI is used. Specifically, AAs reflect an additional layer in the PM system, allowing for a downward cascading PI effect. This also leads to a wider use of PI across different organisational levels. Research limitations/implications This study focusses on two case studies in a region still undergoing transition. Thus, this analysis could be reinforced through additional cases, different data collection methods and cross-country and between-country comparative analyses. Originality/value The changes in PM systems and particularly the use of PI are discussed in the context of Polish higher education (HE) and, more broadly, the entire Central and Eastern Europe (CEE) region. Moreover, the consideration of two b-school cases facilitates a comparative analysis of the differences in PM systems and the use of PI in the context of stakeholders’ PI needs.

scholarly journals Improved empirical models for estimating surface direct and diffuse solar radiation at monthly and daily level: A case study in North China

2019 ◽  
Vol 43 (1) ◽  
pp. 80-94 ◽  
Author(s):  
Yao Feng ◽  
Dongmei Chen ◽  
Xinyi Zhao
Keyword(s):  
Solar Radiation ◽  
North China ◽  
Field Measurements ◽  
Empirical Models ◽  
Energy Utilization ◽  
Total Solar Radiation ◽  
Diffuse Solar Radiation ◽  
Precise Knowledge ◽  
The Impact

Precise knowledge of direct and diffuse solar radiation is important for energy utilization and agricultural activities. However, field measurements in most areas of the world are only for total solar radiation. The satellite-retrieved direct and diffuse solar radiation show poor performance under overcast skies. Therefore, better empirical models are needed to estimate direct and diffuse solar radiation by considering the impact of aerosols over polluted regions. A case study is conducted in North China with the ground-measured solar radiation and satellite-retrieved aerosol optical depth to improve new empirical models at monthly (from 2000 to 2016) and daily (from 2006 to 2009) level. The improved empirical models are validated using the field measurements and compared with the existing models. Results suggest that these models perform well in estimating direct solar radiation at monthly ( R2 = 0.86–0.91, RMSE = 0.76–0.83 MJ/m2) and daily ( R2 = 0.91–0.94, RMSE = 1.51–1.64 MJ/m2) level. The accuracy of estimated monthly ( R2 = 0.95–0.96, RMSE = 0.57–0.65 MJ/m2) and daily ( R2 = 0.91–0.93, RMSE = 1.09–1.15 MJ/m2) diffuse solar radiation, particularly the maximum diffuse solar radiation value, has been improved compared to the existing models. The models presented in this study can be useful in the improvement and evaluation of solar radiation dataset over polluted regions similar to North China.

Assessing design process in engineering consultancy firms using lean principles

SIMULATION ◽  
2012 ◽  
Vol 88 (12) ◽  
pp. 1522-1536 ◽  
Author(s):  
M Marzouk ◽  
I Bakry ◽  
M El-Said
Keyword(s):  
Design Process ◽  
Comprehensive Model ◽  
Output Analysis ◽  
Lean Principles ◽  
Proposed Model ◽  
Client Request ◽  
Using Data ◽  
Consultancy Firm ◽  
The Impact

The aim of this research is to provide a tool for assessing the impact of applying lean principles to the design process at construction consultancy firms. Through several interviews, a comprehensive model was built to simulate the design process, using data from a leading consultancy firm in Egypt. The model contains the main processes and activities that form different phases of the design process and depicts the interconnectivity of processes and activities needed to create a complete design package upon client request. The research describes how the five main lean principles are integrated in the model. A case study is considered to demonstrate the effect of using the proposed model on the design process and to illustrate how the design process performs differently when lean principles are introduced. Case study output analysis reveals 40% improvement in the lean process performance measured in terms of activity utilization rates.

Sign in / Sign up

Export Citation Format

Share Document