China's Streets Lighting Environment Impact Factors Analysis

2013 ◽  
Vol 409-410 ◽  
pp. 1036-1039
Author(s):  
Xiao Ming Su ◽  
Ming Yu Zhang ◽  
Zhan Guo Hao
Keyword(s):  
Surface Brightness ◽  
Impact Factors ◽  
Environment Impact ◽  
Street Lighting ◽  
Surface Conditions ◽  
Factors Analysis ◽  
Lighting Environment ◽  
High Level ◽  
The Relationship

This paper proposed a new method of describing street glare. Glare is a typical light environment, it is affected by streetlights and street surface conditions. It impact on street safety. This paper based on survey of Tianjin, Changsha, Zhengzhou street area, included optical lights types, height of light bulbs, distance between tow lights, street surface brightness, illumination and other factors examination and record. Survey date had been used to set 36 street lighting simulated models and compare with the calculation. The output for the analysis is a series of maps reflecting the relationship between street glare environment and its factors. The case study proved that street lighting environment is closely associated with streetlights bulbs brightness and its installation site. The results show that high level of light brightness will lead to high level of glare and higher light bulbs will increase glare.

scholarly journals Gender and feminist considerations in Artificial Intelligence from a developing-world perspective, with India as a case study

2021 ◽  
Author(s):  
SANGHAMITRA CHOUDHURY ◽  
Shailendra Kumar
Keyword(s):  
Artificial Intelligence ◽  
Developing Countries ◽  
Developing World ◽  
Developed Countries ◽  
High Level ◽  
The Impact ◽  
The Relationship ◽  
Precarious Situation ◽  
And Robotics

<p>The relationship between women, technology manifestation, and likely prospects in the developing world is discussed in this manuscript. Using India as a case study, the paper goes on to discuss how ontology and epistemology views utilised in AI (Artificial Intelligence) and robotics will affect women's prospects in developing countries. Women in developing countries, notably in South Asia, are perceived as doing domestic work and are underrepresented in high-level professions. They are disproportionately underemployed and face prejudice in the workplace. The purpose of this study is to determine if the introduction of AI would exacerbate the already precarious situation of women in the developing world or if it would serve as a liberating force. While studies on the impact of AI on women have been undertaken in developed countries, there has been less research in developing countries. This manuscript attempts to fill that need.</p>

Evaluation of congress performance and congress attendees' satisfaction - a case study of Novi Sad (Serbia)

2011 ◽  
Vol 17 (1) ◽  
pp. 67-78
Author(s):  
Vanja Dragićević ◽  
Uglješa Stankov ◽  
Tanja Armenski ◽  
Snežana Štetić
Keyword(s):  
Destination Choice ◽  
International Meeting ◽  
International Industry ◽  
High Level ◽  
Novi Sad ◽  
Destination Management Organizations ◽  
Intention To Return ◽  
The Relationship ◽  
The City

The congress industry is a young, dynamic industry, which is growing and maturing at a rapid rate. It is now a truly international industry, witnessing huge investments across all continents. Due to economic and other benefits of a more intangible nature, the number of congress destinations and venues worldwide is growing. In order to provide the sustainability of congress destinations and venues, it is important to examine congress delegates’ experience, their overall satisfaction as well as behavioural intentions regarding destination. This study was conducted in the city of Novi Sad, which is after Belgrade the most important international meeting destination in Serbia. The purpose of this study is to examine the experience and overall satisfaction of the attendees at international congresses held in Novi Sad. Also, the relationship between overall satisfaction, word-of-mouth and intention to return were examined. A questionnaire survey was used as an instrument for the study. The collected data were analyzed using SPSS standard package. The results showed high level of attendees’ satisfaction with the congress elements and with destination choice. Also, the results confirmed that Novi Sad has a great potential for development of congress tourism, as the majority of the respondents show great interest to visit Novi Sad again and they would recommend city as a meeting destination. The results of this study are valuable for congress centre managers and for destination management organizations.

How to Use Information Technology Effectively to Achieve Business Objectives

2012 ◽  
pp. 19-35
Author(s):  
Antonio Goncalves ◽  
Natália Serra ◽  
José Serra ◽  
Pedro Sousa
Keyword(s):  
Information Technology ◽  
Software Development ◽  
Enterprise Architecture ◽  
Planning Strategy ◽  
The Business Cycle ◽  
High Level ◽  
Architecture Development ◽  
The Relationship ◽  
Dynamic Alignment

In this chapter the authors show, by using a case study, how it is possible to achieve the alignment between business and Information Technology (IT). It describes several phases of project development, from planning strategy, enterprise architecture, development of businesses supporting tools and keeping dynamic alignment between the business and the IT. The authors propose a framework, framed under an enterprise architecture that guarantees a high level of response to the applications development or configuration as improves its alignment to business by solving some limitations of traditional software development solutions namely: difficulty in gathering clients requirements, which should be supported by the applications; difficulty to connect the organisation processes used to answer the client, which must also be integrated in the applications and the difficulty to develop the applications that can follow the business cycle. To test the approach, this was applied to a real case study consisting in the configuration of an application that manages the relationship with the clients.

scholarly journals A Bayesian Best-Worst Method-Based Multicriteria Competence Analysis of Crowdsourcing Delivery Personnel

Complexity ◽  
2020 ◽  
Vol 2020 ◽  
pp. 1-17 ◽  
Author(s):  
Longxiao Li ◽  
Xu Wang ◽  
Jafar Rezaei
Keyword(s):  
Customer Service ◽  
Value Function ◽  
Service Network ◽  
Core Elements ◽  
Delivery Platform ◽  
High Level ◽  
The Relationship ◽  
Best Worst Method

Crowdsourcing delivery is becoming a prevalent tool for tackling delivery problems by building a large labor-intensive service network. In this network, the delivery personnel consist of a large number of people with a complex composition and high level of mobility, creating enormous challenges for the quality of service and the management of a crowdsourcing platform. Hence, we attempt to conduct a competence analysis to determine whether they can provide promised services with high quality, i.e., they are competent for their job. To this end, the competence theory is introduced, and a multicriteria competence analysis (MCCA) approach is developed. To illustrate the MCCA approach, a real-world case study is conducted involving a Chinese takeaway delivery platform, where the Bayesian best-worst method is used to determine the weights of the criteria based on the data collected from managers of the platform company. Also, the competence scores of the personnel involved are collected through surveys and data sources of the company. Given the weights and the competence scores, we use additive value function to identify the overall competence scores of them, which reflects the level of competence for their job. The results show that Skills is the most important competence, while Knowledge is the least important of the four competence dimensions. In subcriteria, four core elements are identified such as punctuality, customer service awareness, responsible, and goods intact. In addition to the importance of criteria, a ranking of a sample of personnel is provided, and almost half of the crowdsourcing delivery personnel’s competence is below the average and vary significantly, while the relationship between the competence level and some other variables is also discussed. Moreover, the developed MCCA approach in this paper can be applied to analyze the competence of personnel in many other industries as well.

Study on the Measurement of Industrial Structure “Sophistication, Rationalization and Ecologicalization” Based on the Dynamic Analysis of Grey Relations — A Case Study of Beijing-Tianjin-Hebei

2020 ◽  
Vol 8 (2) ◽  
pp. 130-147
Author(s):  
Shiyi Yuan ◽  
Xiaopeng Sun ◽  
Weiguo Chen ◽  
Yongwu Li
Keyword(s):  
Economic Growth ◽  
Industrial Structure ◽  
Structure Optimization ◽  
Coordinated Development ◽  
Economic Growth Rate ◽  
Dynamic Correlation ◽  
Industrial Structure Optimization ◽  
High Level ◽  
The Relationship

AbstractThe Beijing-Tianjin-Hebei region is one of the regions with the most dynamic economies, highest degrees of openness, strongest innovation capacities and largest populations, as well as an important engine driving China’s economic development. Currently, the development of the Beijing-Tianjin-Hebei region faces many difficulties, including an inefficient distribution of regional functions, imbalance in industrial structure, low sophistication, and serious overburdening of resources and the environment. Promoting the overall coordinated development of the region has become an urgent challenge. In this paper, according to the conventions of industrial structure optimization, the three core indicators of regional industrial structure rationalization, sophistication and ecologicalization are constructed. With the help of the grey dynamic correlation model, the three indicators are coupled with the economic growth rate, and the industrial structure optimization index of the Beijing-Tianjin-Hebei region is comprehensively measured. The study shows that rationalization of the industrial structure in the Beijing-Tianjin-Hebei region is increasing but that this trend is not obvious; sophistication of the industrial structure is relatively high and has also been operating at a high level; however, the overall ecological level of the industrial structure in the Beijing-Tianjin-Hebei region is not high and presents the characteristics of high in the middle and low at both ends. In terms of the relationship between industrial structure and economic growth in the Beijing-Tianjin-Hebei region, ecologicalization of the industrial structure has the greatest influence on economic growth, followed by sophistication of the industrial structure, and rationalization of the industrial structure has the weakest influence.

scholarly journals ANALYZING IMPACT FACTORS OF AIRPORT TAXIING DELAY BASED ON ADS-B DATA

2017 ◽  
Vol XLII-2/W7 ◽  
pp. 1251-1255 ◽  
Author(s):  
J. Li ◽  
X. Wang ◽  
Y. Xu ◽  
Q. Li ◽  
C. He ◽  
...  
Keyword(s):  
Influencing Factors ◽  
Delay Time ◽  
Environmental Data ◽  
Impact Factors ◽  
The Impact ◽  
The Relationship

Identifying the factors that cause taxiing delay on airports is a prerequisite for optimizing aircraft taxiing schemes, and helps improve the efficiency of taxiing system. Few of current studies had quantified the potential influencing factors and further investigated their intrinsic relationship. In view of these problems, this paper uses ADS-B data to calculate taxiing delay time by restoring taxiing route and identifying key status points, and further analyzes the impact factors of airport taxiing delay by investigating the relationship between delay time and environmental data such as weather, wind, visibility etc. The case study in Guangzhou Baiyun Airport validates the effectiveness of the proposed method.

scholarly journals Gender and feminist considerations in Artificial Intelligence from a developing-world perspective, with India as a case study

2021 ◽  
Author(s):  
SANGHAMITRA CHOUDHURY ◽  
Shailendra Kumar
Keyword(s):  
Artificial Intelligence ◽  
Developing Countries ◽  
Developing World ◽  
Developed Countries ◽  
High Level ◽  
The Impact ◽  
The Relationship ◽  
Precarious Situation ◽  
And Robotics

<p>The relationship between women, technology manifestation, and likely prospects in the developing world is discussed in this manuscript. Using India as a case study, the paper goes on to discuss how ontology and epistemology views utilised in AI (Artificial Intelligence) and robotics will affect women's prospects in developing countries. Women in developing countries, notably in South Asia, are perceived as doing domestic work and are underrepresented in high-level professions. They are disproportionately underemployed and face prejudice in the workplace. The purpose of this study is to determine if the introduction of AI would exacerbate the already precarious situation of women in the developing world or if it would serve as a liberating force. While studies on the impact of AI on women have been undertaken in developed countries, there has been less research in developing countries. This manuscript attempts to fill that need.</p>

scholarly journals Correlation Analysis of Behavioral Factors of Construction Safety Based on the Chi-Square Test

2011 ◽  
Vol 1 ◽  
pp. 47-51
Author(s):  
Kai Chang Sun ◽  
Jian Lan Zhou ◽  
Zhi Yu Sun ◽  
Kun Li
Keyword(s):  
Construction Safety ◽  
Behavioral Factors ◽  
Chi Square ◽  
Relationship Analysis ◽  
Factors Analysis ◽  
Unsafe Behavior ◽  
Chi Square Test ◽  
High Level ◽  
The Impact ◽  
The Relationship

The construction safety supervision errors can lead to unsafe behavior; further affect the working conditions of workers and result in accidents at last. The probabilities of data are provided by statistical analysis between the different types of neighborhood-level factors by the independence of the chi-square test. The relationship analysis of the independence between the behavioral factors has been performed in order to find the non-independent factors. Among the Human Factors Analysis and Classification System (HFACS), the impact of the high-level factors on the bottom level is determined. Based on the data, the work path of various factors in the HFACS frame is confirmed and it can be a reference for the development of the preventive measures.

scholarly journals STUDENTS READINESS FOR ONLINE LEARNING: CASE STUDY ON COMMERCE DEPARTMENT’S STUDENTS POLITEKNIK KUCHING SARAWAK

2021 ◽  
Vol 4 (15) ◽  
pp. 88-96
Author(s):  
Hartyni Mastor ◽  
Hasimah Salleh ◽  
Khatijah Ibrahim
Keyword(s):  
Online Learning ◽  
Online Teaching ◽  
Teaching And Learning ◽  
Teaching Staff ◽  
Industrial Training ◽  
Commerce Department ◽  
High Level ◽  
Level Of Motivation ◽  
The Relationship

The Covid-19 pandemic has had a profound effect on the country's education system. Regardless of the administrator and the teaching staff, the students are also affected by this situation. The Ministry of Higher Education has decided that the Online Teaching and Learning method (Pengajaran dan Pembelajaran Dalam Talian, PdPDT) will be implemented at the Polytechnic level, especially for the June 2020 session. The main purpose of this study is to identify the level of readiness and motivation of students of the Commerce Department Polytechnic Kuching Sarawak on the implementation of PdPDT. The study also examined the relationship between motivation and the level of readiness of students to follow online learning. Quantitative data is collected through a questionnaire distributed online to all active students of the Commerce Department who will attend lectures in the June 2020 session (excluding students who are undergoing Industrial Training and semester 1 students intake June 2020). A pilot study conducted found that the Cronbach’s alpha value was 0.970 and it showed a high level of reliability for the items tested. The scope of this study leads to the level of readiness and level of motivation of students only. The data obtained were analyzed using Statistical Package for Social Science (SPSS) version 20. Overall, the level of readiness (mean score: 3.40) and level of motivation (mean score: 3.32) of students of the Commerce Department on the implementation of online learning is at a moderate level. Respondents responded positively to PdPDT in assisting the new normal teaching and learning process.

scholarly journals Assessing the role of media in crisis management in Afghanistan: A case study of crisis caused by coronavirus outbreak

2020 ◽  
Vol 3 (4) ◽  
pp. 113-118
Author(s):  
Muhammad Ragheb Eftikhari
Keyword(s):  
Media Use ◽  
Public Awareness ◽  
Three Dimensions ◽  
Statistical Population ◽  
The Media ◽  
High Level ◽  
Control And Management ◽  
The Relationship

This study evaluated the relationship between media use and citizens' awareness of coronavirus. The method of this research was quantitative-survey, and the data collection tool was a questionnaire. The sample size was 383 people and determined using the Cochran's formula. The questionnaire was distributed online and conducted within 30 days from the 3 rd April to the 3 rd May of 2020. SPSS software was used to analyze the data. The statistical population of the study was Facebook users. In the present study, the independent variable was media use and the dependent variable was the level of public awareness in three dimensions; awareness, speed of information and fading of traditional beliefs have been measured. Findings showed that the media, especially Facebook, due to the characteristics of availability, decentralization, time and frequency, as well as the role of awareness and information in crisis control and management has been impressed in Afghanistan. Based on the results, the first and second hypotheses of the research that there is a relationship between access to media and high level of awareness as well as the relationship between access to media and increasing the speed of information are confirmed, but the third hypothesis due to the low intensity of the relationship between its variables was somewhat ruled out.

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