Pan coefficient sensitivity to environment variables across China

2019 ◽  
Vol 572 ◽  
pp. 582-591 ◽  
Author(s):  
Kaiwen Wang ◽  
Xiaomang Liu ◽  
Wei Tian ◽  
Yanzhong Li ◽  
Kang Liang ◽  
...  
Keyword(s):  
Environment Variables ◽  
Pan Coefficient

Pengaruh Motivasi Kerja Dan Lingkungan Kerja Terhadap Kinerja Karyawan Bappeda Kabupaten Wonosobo Tahun 2013

2017 ◽  
Vol 1 (2) ◽  
pp. 135-147
Author(s):  
Ary Sutrischastini ◽  
Ratna Setyani
Keyword(s):  
Work Environment ◽  
Work Motivation ◽  
Employee Performance ◽  
Linear Regression Analysis ◽  
Test Validity ◽  
Multiple Linear Regression Analysis ◽  
Reliability Testing ◽  
Evaluation Influence ◽  
Environment Variables ◽  
Research Goal

This research goal is to identification and evaluation influence of work motivation and work environment to employee’s performance in BAPPEDA Kabupaten Wonosobo. The object of this research is 37 employees of Badan Perencanaan Pembangunan Kabupaten Wonosobo. And the location of this research is at Badan Perencanaan Pembangunan Kabupaten Wonosobo. The analysis used is test validity, reliability testing, and test the hypothesis, with the help of the computer program SPSS version 17, using multiple linear regression analysis. Based on calculations of data and analysis used, the regression equation is obtained: Y = 11.733 + 0.320 X1 +0.334 X2 + ε, by using the equation regression analytical method can conclude that (X1) take effect positively against employees performance. With t value in amount of 2,219 (bigger than t in table in amount of 1,690) and significance value in amount of 0,33. By applying significance limited value in amount of 0,05, it means, hypothesis that claim if work motivation take effect against employees performance can be accepted. There is a positive and significant correlation between work environment variables (X2) against employees. With t value in amount of 2,219 (bigger than t in table in amount of 1,690) and significance value in amount of 0,33 (smaller than 0,5). Simultaneously, work motivation take effect positively and significantly against employees performance with the F value in amount of 11,562 (bigger than 0.05), then obtained significance value 0.000. It can be concluded that the work motivation and work environment has a positive and significant influence on employee performance in BAPPEDA Kabupaten Wonosobo.

PENGARUH LINGKUNGAN KERJA DAN DISIPLIN KERJA TERHADAP KINERJA KARYAWAN BAGIAN PRODUKSI PT. FUJI SEIMITSU INDONESIA - BEKASI

2018 ◽  
Vol 19 (2) ◽  
pp. 121
Author(s):  
Riski Eko Ardianto ◽  
Ergo Nurpatria Kurniawan
Keyword(s):  
Work Environment ◽  
Significant Influence ◽  
High Performance ◽  
Employee Performance ◽  
Descriptive Analysis ◽  
Linear Regression Analysis ◽  
Working Environment ◽  
Validity And Reliability ◽  
Quantitative Research Methods ◽  
Environment Variables

Employee performance is something that is considered important for the company. Employees have high performance will certainly be able to work optimally so that the objectives of the institution itself will be easily achieved. Through the improvement of the working environment and working discipline expected the resulting performance can be optimized within the enterprise. In this study to determine the three variables that can affect employee performance (Y), the work environment variables (X1) and discipline (X2). Simultaneous and partially on the performance of employees at PT.Fuji Seimitsu Indonesia. Type of research is quantitative research. Methods of data collection using questionnaires with sempel amount of research is 100 respondents.Data analysis techniques in research using descriptive analysis, multiple linear regression analysis, validity and reliability test and partial test ( Test T) and a simultaneous test (Test F). Results of research conducted using SPSS 2.2 (ststitical program for social science), from the results obtained that the working environment (X1) were significant influence on employee performance (Y) on PT.Fuji Seimitsu Indonesia because work environment variables t = 3.231 > t table 1.660 with sig = 0.002 < 0.05. Labor discipline (X2) have a significant effect on employee performance (Y). Work environment (X1) and discipline (X2) simultaneously significant effect on employee performance (Y) PT. Fuji Seimitsu Indonesia.The results obtained on the whole of the working environment (X1) and discipline (X2) are all very significant influence on employee performance (Y) in PT.Fuji Seimitsu Indonesia. Keywords:Work Environment, Work Discipline and Employee Performance

A Layered Mapping of Ada 202X to OpenMP

2021 ◽  
Vol 40 (2) ◽  
pp. 55-58
Author(s):  
S. Tucker Taft
Keyword(s):  
Operating System ◽  
Application Programming Interface ◽  
Light Weight ◽  
Main Interest ◽  
Thread Scheduling ◽  
Environment Variables ◽  
Application Programming ◽  
Parallel Loops ◽  
Programming Interface

The OpenMP specification defines a set of compiler directives, library routines, and environment variables that together represent the OpenMP Application Programming Interface, and is currently defined for C, C++, and Fortran. The forthcoming version of Ada, currently dubbed Ada 202X, includes lightweight parallelism features, in particular parallel blocks and parallel loops. All versions of Ada, since its inception in 1983, have included "tasking," which corresponds to what are traditionally considered "heavyweight" parallelism features, or simply "concurrency" features. Ada "tasks" typically map to what are called "kernel threads," in that the operating system manages them and schedules them. However, one of the goals of lightweight parallelism is to reduce overhead by doing more of the management outside the kernel of the operating system, using a light-weight-thread (LWT) scheduler. The OpenMP library routines support both levels of threading, but for Ada 202X, the main interest is in making use of OpenMP for its lightweight thread scheduling capabilities.

scholarly journals Evaluating the Connection between Thermal Comfort and Productivity in Buildings: A Systematic Literature Review

Buildings ◽  
2021 ◽  
Vol 11 (6) ◽  
pp. 244
Author(s):  
Ana Maria Bueno ◽  
Antonio Augusto de Paula Xavier ◽  
Evandro Eduardo Broday
Keyword(s):  
Literature Review ◽  
Thermal Comfort ◽  
Systematic Literature Review ◽  
Thermal Environment ◽  
Final Analysis ◽  
Personal Factors ◽  
Exclusion Criteria ◽  
Environment Variables ◽  
Main Factors ◽  
Combination Of Methods

The thermal environment is one of the main factors that influence thermal comfort and, consequently, the productivity of occupants inside buildings. Throughout the years, research has described the connection between thermal comfort and productivity. Mathematical models have been established in the attempt to predict changes in productivity according to thermal variations in the environment. Some of these models have failed for a number of reasons, including the understanding of the effect that several environment variables have had on performance. From this context, a systematic literature review was carried out with the aim of verifying the connection between thermal comfort and productivity and the combinations of different thermal and personal factors that can have an effect on productivity. A hundred and twenty-eight articles were found which show a connection between productivity and some thermal comfort variables. By means of specific inclusion and exclusion criteria, 60 articles were selected for a final analysis. The main conclusions found in this study were: (i) the vast majority of research uses subjective measures and/or a combination of methods to evaluate productivity; (ii) performance/productivity can be attained within an ampler temperature range; (iii) few studies present ways of calculating productivity.

scholarly journals A novel method to Predict Laying Rate Based on Multiple Environment Variables

IEEE Access ◽  
2021 ◽  
pp. 1-1
Author(s):  
Hang Yin ◽  
Chuanyun Liu ◽  
Yacui Gao ◽  
Wenting Fan ◽  
Bin Xiao ◽  
...  
Keyword(s):  
Environment Variables ◽  
Novel Method

scholarly journals Spatiotemporal Influence of Urban Environment on Taxi Ridership Using Geographically and Temporally Weighted Regression

2019 ◽  
Vol 8 (1) ◽  
pp. 23 ◽  
Author(s):  
Xinxin Zhang ◽  
Bo Huang ◽  
Shunzhi Zhu
Keyword(s):  
Urban Environment ◽  
Optimal Allocation ◽  
Ordinary Least Squares ◽  
Weighted Regression ◽  
Road Density ◽  
Transit Systems ◽  
Grid Unit ◽  
Environment Variables ◽  
Point Data ◽  
Conventional Models

Taxicabs play an important role in urban transit systems, and their ridership is significantly influenced by the urban built environment. The intricate relationship between taxi ridership and the urban environment has been explored using either conventional ordinary least squares (OLS) regression or geographically weighted regression (GWR). However, time constitutes a significant dimension, particularly when analyzing spatiotemporal hourly taxi ridership, which is not effectively incorporated into conventional models. In this study, the geographically and temporally weighted regression (GTWR) model was applied to model the spatiotemporal heterogeneity of hourly taxi ridership, and visualize the spatial and temporal coefficient variations. To test the performance of the GTWR model, an empirical study was implemented for Xiamen city in China using a set of weekday taxi pickup point data. Using point-of-interest (POI) data, hourly taxi ridership was analyzed by incorporating it to various spatially urban environment variables based on a 500 × 500 m grid unit. Compared to the OLS and GWR, the GTWR model obtained the best performance, both in terms of model fit and explanatory accuracy. Moreover, the urban environment was revealed to have a significant impact on taxi ridership. Road density was found to decrease the number of taxi trips in particular places, and the density of bus stops competed with taxi ridership over time. The GTWR modelling provides valuable insights for investigating taxi ridership variation as a function of spatiotemporal urban environment variables, thereby facilitating an optimal allocation of taxi resources and transportation planning.

Car Ownership and the Built Environment: A Spatial Modeling Approach

2021 ◽  
pp. 036119812110494
Author(s):  
Jerome Laviolette ◽  
Catherine Morency ◽  
Owen D. Waygood ◽  
Konstadinos G. Goulias
Keyword(s):  
Built Environment ◽  
Spatial Dependence ◽  
Linear Models ◽  
Census Data ◽  
Model Specification ◽  
Car Ownership ◽  
Grocery Stores ◽  
Modeling Framework ◽  
Explanatory Variables ◽  
Environment Variables

Car ownership is linked to higher car use, which leads to important environmental, social and health consequences. As car ownership keeps increasing in most countries, it remains relevant to examine what factors and policies can help contain this growth. This paper uses an advanced spatial econometric modeling framework to investigate spatial dependences in household car ownership rates measured at fine geographical scales using administrative data of registered vehicles and census data of household counts for the Island of Montreal, Canada. The use of a finer level of spatial resolution allows for the use of more explanatory variables than previous aggregate models of car ownership. Theoretical considerations and formal testing suggested the choice of the Spatial Durbin Error Model (SDEM) as an appropriate modeling option. The final model specification includes sociodemographic and built environment variables supported by theory and achieves a Nagelkerke pseudo-R2 of 0.93. Despite the inclusion of those variables the spatial linear models with and without lagged explanatory variables still exhibit residual spatial dependence. This indicates the presence of unobserved autocorrelated factors influencing car ownership rates. Model results indicate that sociodemographic variables explain much of the variance, but that built environment characteristics, including transit level of service and local commercial accessibility (e.g., to grocery stores) are strongly and negatively associated with neighborhood car ownership rates. Comparison of estimates between the SDEM and a non-spatial model indicates that failing to control for spatial dependence leads to an overestimation of the strength of the direct influence of built environment variables.

Predicting the Distribution of Sunda Pangolin (Manis javanica Desmarest, 1822) in Way Canguk Research Station, Bukit Barisan Selatan National Park, Lampung

2021 ◽  
Vol 6 (1) ◽  
pp. 58612
Author(s):  
Silvi Dwi Anasari ◽  
Wulan Pusparini ◽  
Noviar Andayani
Keyword(s):  
National Parks ◽  
National Park ◽  
Natural Habitat ◽  
Area Under The Curve ◽  
Canopy Cover ◽  
Research Station ◽  
Environment Variables ◽  
Presence Data ◽  
Manis Javanica ◽  
In The Wild

The distribution of a species can help guide the protection activities in their natural habitat. Conversely, the lack of information on this distribution makes the protection strategy of this species difficult. The research was conducted in Way Canguk Research Station, Bukit Barisan Selatan National Park from January until March 2018. The purposes of this research were to create a distribution prediction map of Sunda pangolin (Manis javanica) and estimating the environment variables that most influenced the probability of the distribution. Fourteen points of camera trap coordinates were used for presence data with nine types of environment variables such as elevation, slope, understorey, canopy cover, distance from roads, distance from rivers, distance from villages, food source, and distance from the threat. The result of maxent showed an Area Under the Curve (AUC) value of 0.909 categorized as very good. The highest probability of Sunda pangolin distributions was in the Pemerihan Resort and Way Haru Resort area, while the dominant environmental variables included the distance from the village, the canopy cover, and the distance from threat with the value 47.7; 25.85; and 15.8%, respectively. Prediction maps and environment variables can help to identify the population of Sunda pangolin in the wild and can provide input for the national parks to prioritize protection areas for Sunda pangolin from the increased poaching.

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