scholarly journals Evaluation of Factors Affecting Employees' Performance Using Artificial Neural Networks Algorithm: The Case Study of Fajr Jam

2019 ◽  
Vol 12 (10) ◽  
pp. 86
Author(s):  
Mohammad Rahmanidoust ◽  
Jianguo Zheng
Keyword(s):  
Human Resources ◽  
Conceptual Model ◽  
Negative Impact ◽  
Validity And Reliability ◽  
Factors Affecting ◽  
Before And After ◽  
Neural Network Algorithm ◽  
Artificial Neural ◽  
Performance Statistics

Human resources are the most valuable assets of any organization. Therefore, human resources performance has the greatest impact on the organization's performance and its ability to operate. Many factors affect the performance of employees in organizations. In this research, we seek to evaluate the factors affecting the performance of Fajr Jam refinery employees. For this purpose, firstly, the literature of the research, the indicators affecting the performance of employees were identified and the conceptual model of the problem was formed. Then, the required data were collected using a standard questionnaire based on the conceptual model of the problem among employees of FJG Company. After assessing the validity and reliability of the collected data, it is time to evaluate the performance of the indicators. For this purpose, an artificial neural network algorithm was used to estimate the efficiency boundary values. After calculating the efficiency values in the presence of all the indices, each indices were eliminated from the conceptual model and again the efficiency values were estimated. Now, by comparing the performance statistics in the state before and after the removal of each indicator from the conceptual model, the degree and the mode of its effect are determined. The results of this study indicate that the "payroll" indicators, "environmental conditions" and "reporting culture" are the strengths of the system under review, and are now at an appropriate level. Also, the results indicate a negative impact on the indicators of "awareness", "system planning and preparation for critical situations," "amenities," "training," and "job security" in the system under review.

scholarly journals The stability analysis of dam walls using artificial neural network

2019 ◽  
Author(s):  
Sorush Niknamian
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Rock Slopes ◽  
Factors Affecting ◽  
Network Algorithm ◽  
Before And After ◽  
Neural Network Algorithm ◽  
Artificial Neural ◽  
The Stability ◽  
Artificial Neural Network Algorithm

The stability of rock slopes of the walls of Roodbar dam in Lorestan is investigated using multi-layer Perceptron of artificial neural network algorithm. Then, the stability of rock slopes is studied by considered factors affecting stability at before and after impounding dam. The calculation is done on the factors affecting stability using artificial neural network algorithm. Finally, the results show that rock slopes of the walls of Roodbar dam in Lorestan in a dry state are stable at seventeen modes and unstable at three modes. Also, in a saturated state are stable at fourteen modes and unstable at six modes, furthermore have generally a little stability. The results of this paper indicated that the calculation are augmentable with experimental results.

HR signals in the context of HRM-firm performance relationship: development of a conceptual framework

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Chiradip Bandyopadhyay ◽  
Kailash B. L. Srivastava
Keyword(s):  
Firm Performance ◽  
Human Resources ◽  
Conceptual Model ◽  
Design Methodology ◽  
Relationship Development ◽  
Firm Level ◽  
Content Type ◽  
Factors Affecting ◽  
The Relationship

PurposeThe purpose of this paper is to reframe human resources' (HR) systems and practices as HR signals drawing from conceptualizations of signals. The construct of the strength of signal is developed to quantify the attributional ability of HR signals. To examine the role of HR signals in influencing employee behaviours and firm performance, human resource management (HRM)-firm performance relationship is considered as a framework to develop a firm-level conceptual model which integrates factors affecting HR signals and its consequences.Design/methodology/approachThe paper examines the existing literature on the relationship between HRM and firm performance. In the process, the paper considers the concept of HR signal and makes a case for the strength of HR signal. Finally, the paper offers a conceptual model in order to link the antecedents and consequents of HR signals.FindingsThe paper offers a conceptual model to address the gaps in the relationship between HRM and firm performance. It also brings into focus an understanding of HRM as signals and its importance in understanding firm performance.Originality/valueThe paper enriches the existing literature by examining HRM as HR signals. It adds to the literature by considering the attributional ability of HR, through the construct of the strength of HR signals.

Simulation Design on Kalman Filter with Mobile and No-Intersymbol Interference System Based on MATLAB

2014 ◽  
Vol 716-717 ◽  
pp. 1267-1271
Author(s):  
Liang Jun Yu ◽  
Li Hua Sun ◽  
Cui Cui Huang
Keyword(s):  
Mathematical Model ◽  
Kalman Filter ◽  
Intersymbol Interference ◽  
Digital Signal ◽  
State Equation ◽  
Simulation Design ◽  
Validity And Reliability ◽  
Factors Affecting ◽  
Before And After ◽  
Crosstalk Signal

Intersymbol Interference (ISI) problem is one of the main factors affecting the baseband transmission performance of mobile communication’s digital signal which can not only reduce the transmission quality of the information but also can result in misinformation and false pass of information and provide troubles to the user and communications. In order to minimize the error rate, we propose a new digital equalization filter and establish the basic model of the digital filter and introduce non-linear Kalman observation equation and the state equation into the model and design partial differential mathematical model of the Kalman filter and develop MATLAB solver based on the mathematical model. In order to verify the validity and reliability of Kalman filter algorithms and mathematical procedures designed in this paper, it uses MATLAB toolbox to simulate the filter of mobile crosstalk signal and obtains amplitude-frequency characteristics and time-domain characteristics before and after filtering. By comparison, we can see that the filter can eliminate the high frequency crosstalk signal which provides technical reference for the study of the problem of crosstalk between the mobile communication codes.

scholarly journals Psychological factors in reducing excess body weight after bariatric surgery

2019 ◽  
Vol 16 (3) ◽  
pp. 62-68
Author(s):  
Aleksandr E. Neimark ◽  
Shushanna A. Eganian ◽  
Maxim I. Galchenko
Keyword(s):  
Bariatric Surgery ◽  
Weight Loss ◽  
Psychological Factors ◽  
Negative Impact ◽  
Psychological State ◽  
Excess Body Weight ◽  
Factors Affecting ◽  
Before And After ◽  
Statistical Programming ◽  
Treatment Of Obesity

BACKGROUND: The relevance of the problem of obesity today is not in doubt. One of the most effective treatments today is bariatric surgery. At the same time, the effectiveness of the surgical method is not always predictable, as it is influenced by various factors, including the psychological state of the patient. AIM: To study the psychological characteristics of patients with obesity before and after surgical (bariatric) treatment and to establish the relationship with weight loss. MATERIALS AND METHOD: The study involved 32 patients with morbid obesity before and a year after laparoscopic longitudinal resection of the stomach with an initial body mass index of 45.36 (+54.90; -33.00). Questionnaire used: Symptom Check List-90-R (L.R. Derogatis). Statistical data processing was carried out using the statistical programming language R. RESULTS: The presence or increase in the level of phobic anxiety (a persistent reaction of fear to certain people, situations and places) and psychotism (isolation, interpersonal isolation, avoidance) in a patient can have a negative impact on the success of weight loss in the postoperative period. CONCLUSIONS. The psychological factors affecting the prognosis of weight loss after bariatric surgery have been identified. Psychological testing and determining the patients psychotype can be predictive in improving the outcome of surgical treatment of obesity.

Factors Affecting the Citizens’ Trust in E-Government

2012 ◽  
pp. 1611-1630
Author(s):  
Hisham M. Alsaghier ◽  
Marilyn Ford ◽  
Anne Nguyen ◽  
Rene Hexel
Keyword(s):  
Literature Review ◽  
Conceptual Model ◽  
Q Methodology ◽  
Personal Information ◽  
Vital Role ◽  
Validity And Reliability ◽  
Factors Affecting ◽  
Perceived Risks ◽  
Proposed Model ◽  
Statistical Results

In e-government context, trust plays a vital role in helping citizens overcome perceived risks. Trust makes citizens comfortable sharing personal information, make online government transaction, and acting on e-Government advices. Thus, trust is a significant notion that should be critically investigated to help both researchers and practitioners to understand citizens’ acceptance to e-Government. Prior research in trust has focused mainly on consumer’s trust in e-Commerce. Most of existing literatures on trust in e-government focus on technical perspective such as PKI. This paper contributes by proposing a conceptual model of citizens’ trust in e-Government. The proposed conceptual model of citizens’ trust in e-government is integrated constructs from multiple disciplines: psychology, sociology, e-commerce, and HCI. The research is aimed also to develop items in order to measure the theoretical constructs in the proposed model. The pool of items is generated based on literature review. Q-Methodology has been utilised to validate the generated measurement items. The outcome of two Q-sorting rounds resulted in developing a survey instrument for proposed model with an excellent validity and reliability statistical results.

scholarly journals IMPLIKASI BENCANA TERHADAP KEHARMONISAN RUMAH TANGGA (Studi Kasus Pada Masyarakat Korban Bencana Banjir di Kelurahan Kepatihan Kecamatan Kaliwates Kabupaten Jember)

Al-MAJAALIS ◽  
2021 ◽  
Vol 8 (2) ◽  
pp. 351-373
Author(s):  
Winning Son Ashari ◽  
Muhammad Nurul Fahmi
Keyword(s):  
Negative Impact ◽  
Married Couple ◽  
Qualitative Approach ◽  
Flood Disaster ◽  
Islamic Perspective ◽  
Before And After ◽  
Family Harmony

Harmony in the household is a dream and hope for every married couple who is in a marriage relationship. This harmony must have many aspects that can affect it. Among the aspects that might affect this harmony is a tragedy that has befallen. The flood disaster has hit some areas in Jember Regency and has had several impacts on the affected residents. The purpose of this research is to find and analyze things that affect household harmony in an Islamic perspective, the phenomenon of the flood disaster in Kepatihan Jember and the implications of the flood disaster on the household harmony of flood victims in Kepatihan Subdistrict, Kaliwates District, Jember Regency. This research uses a qualitative approach with a type of case study. The results of this research are (1) In a Islamic perspektive, there are several efforts that can be made to build family harmony before and after the marriage, (2) residents of Kepatihan Jember Regency have experienced floods five times and the last disaster was the most severe by the number of residents. As many as 32 families and eight houses were affected by damage, (3) this flood disaster greatly affected the husband's ability to fulfill his obligations as head of the household, but this did not have a major negative impact on the harmony of their household.

scholarly journals Daily Bicycle and Pedestrian Activity as an Indicator of Disaster Recovery: A Hurricane Harvey Case Study

2019 ◽  
Vol 16 (16) ◽  
pp. 2836
Author(s):  
Annie Doubleday ◽  
Youngjun Choe ◽  
Scott Miles ◽  
Nicole A. Errett
Keyword(s):  
Physical Activity ◽  
Exploratory Study ◽  
Disaster Recovery ◽  
Negative Impact ◽  
Interrupted Time Series ◽  
Interrupted Time Series Analysis ◽  
Disaster Impacts ◽  
Before And After ◽  
Significant Negative Impact

Changes in levels and patterns of physical activity might be a mechanism to assess and inform disaster recovery through the lens of wellbeing. However, few studies have examined disaster impacts on physical activity or the potential for physical activity to serve as an indicator of disaster recovery. In this exploratory study, we examined daily bicycle and pedestrian counts from four public bicycle/pedestrian trails in Houston, before and after Hurricane Harvey landfall, to assess if physical activity returned to pre-Harvey levels. An interrupted time series analysis was conducted to examine the immediate impact of Harvey landfall on physical activity; t-tests were performed to assess if trail usage returned to pre-Harvey levels. Hurricane Harvey was found to have a significant negative impact on daily pedestrian and bicycle counts for three of the four trails. Daily pedestrian and bicycle counts were found to return to pre-Harvey or higher levels at 6 weeks post-landfall at all locations studied. We discuss the potential for further research to examine the trends, feasibility, validity, and limitations of using bicycle and pedestrian use levels as a proxy for disaster recovery and wellbeing among affected populations.

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