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21 – 30 of 58Da’ad Ahmad Albalawneh and M.A. Mohamed
Using a real-time road network combined with historical traffic data for Al-Salt city, the paper aims to propose a new federated genetic algorithm (GA)-based optimization…
Abstract
Purpose
Using a real-time road network combined with historical traffic data for Al-Salt city, the paper aims to propose a new federated genetic algorithm (GA)-based optimization technique to solve the dynamic vehicle routing problem. Using a GA solver, the estimated routing time for 300 chromosomes (routes) was the shortest and most efficient over 30 generations.
Design/methodology/approach
In transportation systems, the objective of route planning techniques has been revised from focusing on road directors to road users. As a result, the new transportation systems use advanced technologies to support drivers and provide them with the road information they need and the services they require to reduce traffic congestion and improve routing problems. In recent decades, numerous studies have been conducted on how to find an efficient and suitable route for vehicles, known as the vehicle routing problem (VRP). To identify the best route, VRP uses real-time information-acquired geographical information systems (GIS) tools.
Findings
This study aims to develop a route planning tool using ArcGIS network analyst to enhance both cost and service quality measures, taking into account several factors to determine the best route based on the users’ preferences.
Originality/value
Furthermore, developing a route planning tool using ArcGIS network analyst to enhance both cost and service quality measures, taking into account several factors to determine the best route based on the users’ preferences. An adaptive genetic algorithm (GA) is used to determine the optimal time route, taking into account factors that affect vehicle arrival times and cause delays. In addition, ArcGIS' Network Analyst tool is used to determine the best route based on the user's preferences using a real-time map.
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Sheng Li and Junhu Wang
The purpose of this paper is to study the spelling suggestion (SS) problem for extensible markup language (XML) keyword search, which provides users with alternative queries that…
Abstract
Purpose
The purpose of this paper is to study the spelling suggestion (SS) problem for extensible markup language (XML) keyword search, which provides users with alternative queries that may better express users search intention.
Design/methodology/approach
To return the suggested queries more efficiently, the authors evaluate the quality of the query by estimating the selectivity and quality of each query pattern. The selectivity estimation is based on the XSketch synopsis, which summarizes the structure and value distribution of the original XML data source. The authors propose an approach to generating the top-K query candidates.
Findings
Experiments with real datasets verify the effectiveness and efficiency of the authors' approach.
Originality/value
The authors proposed a SS approach based on the XSketch summary.
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Tamoor Khan, Jiangtao Qiu, Ameen Banjar, Riad Alharbey, Ahmed Omar Alzahrani and Rashid Mehmood
The purpose of this paper is to assess the impacts on production of five fruit crops from 1961 to 2018 of energy use, CO2 emissions, farming areas and the labor force in China.
Abstract
Purpose
The purpose of this paper is to assess the impacts on production of five fruit crops from 1961 to 2018 of energy use, CO2 emissions, farming areas and the labor force in China.
Design/methodology/approach
This analysis applied the autoregressive distributed lag-bound testing (ARDL) approach, Granger causality method and Johansen co-integration test to predict long-term co-integration and relation between variables. Four machine learning methods are used for prediction of the accuracy of climate effect on fruit production.
Findings
The Johansen test findings have shown that the fruit crop growth, energy use, CO2 emissions, harvested land and labor force have a long-term co-integration relation. The outcome of the long-term use of CO2 emission and rural population has a negative influence on fruit crops. The energy consumption, harvested area, total fruit yield and agriculture labor force have a positive influence on six fruit crops. The long-run relationships reveal that a 1% increase in rural population and CO2 will decrease fruit crop production by −0.59 and −1.97. The energy consumption, fruit harvested area, total fruit yield and agriculture labor force will increase fruit crop production by 0.17%, 1.52%, 1.80% and 4.33%, respectively. Furthermore, uni-directional causality is correlated with the growth of fruit crops and energy consumption. Also, the results indicate that the bi-directional causality impact varies from CO2 emissions to agricultural areas to fruit crops.
Originality/value
This study also fills the literature gap in implementing ARDL for agricultural fruits of China, used machine learning methods to examine the impact of climate change and to explore this important issue.
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Takahiro Komamizu, Toshiyuki Amagasa and Hiroyuki Kitagawa
XML has become a standard data format for many applications and efficient retrieval methods are required. Typically, there are roughly two kinds of retrieval methods, namely…
Abstract
Purpose
XML has become a standard data format for many applications and efficient retrieval methods are required. Typically, there are roughly two kinds of retrieval methods, namely path‐based method (e.g. XPath and XQuery) and keyword search, but these methods do not work when users do not have any concrete information need. To expand feasibility of XML data retrieval is an important task and this is the purpose of this paper.
Design/methodology/approach
The paper's strategy is to apply faceted navigation for XML data. Faceted navigation is an exploratory search which enables the exploration of data making use of attributes, called facets. General faceted navigation methods are applied for attributed objects but XML data have no criteria because XML nodes are objects and facets. Thus, the paper's approach is to construct a framework to enable faceted navigation over XML data. It first extracts objects based on occurrence of nodes and facets. Then it constructs a faceted navigation interface for extracted objects and facets.
Findings
The framework achieves semi‐automatic construction of faceted navigation interface from an XML database. In the experiments, the show feasibility of the framework is shown by three faceted navigation interfaces using existing real XML data. On the other hand, the user study shows the retrieval method helps users to find required information.
Originality/value
There are only a few works which apply faceted navigation for XML data and these works are based on predefined objects and facets which need human effort. In contrast, this framework needs human decision making only when choosing objects and facets to be used in the faceted navigation interface.
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Dinesh Kumar, Satnam Singh and Surjit Angra
This study aims to investigate the corrosion behavior of stir-cast hybrid aluminum composite reinforced with CeO2 and graphene nanoplatelets (GNPs) nanoparticulates used as…
Abstract
Purpose
This study aims to investigate the corrosion behavior of stir-cast hybrid aluminum composite reinforced with CeO2 and graphene nanoplatelets (GNPs) nanoparticulates used as cylinder liner material in the engines (automotive, aerospace and aircraft industries).
Design/methodology/approach
The composites were prepared using the stir-casting technique, and their microstructure and corrosion behavior was evaluated using scanning electron microscopy (SEM) and potentiodynamic polarization test, respectively.
Findings
The results showed that the addition of CeO2 and GNPs improved the corrosion resistance of the composites, and the optimal combination of these two nanoparticles was found to be 3 wt.% CeO2 and 3 wt.% GNPs. The enhanced corrosion resistance was attributed to the formation of a protective layer on the surface of the composite, as well as the effective dispersion and uniform distribution of nanoparticles in the matrix. The 0.031362 was noted as the lowest corrosion rate (mmpy) and was noticed in 94% Al-6061 alloy + (3 Wt.% CeO2 + 3 Wt.% GNPs) sample at room temperature and at elevated temperatures; the corrosion rate (mmpy) was observed as 0.0601 and 0.0636 at 45 °C and 75 °C, respectively.
Originality/value
In the vast majority of the published research publications, either cerium oxide or graphene nanoplatelets were utilized as a single reinforcement or in conjunction with other types of reinforcement such as alumina, silicon carbide, carbon nano-tubes, tungsten carbide, etc., but on the combination of the CeO2 and GNPs as reinforcements have very less literatures with 2 wt.% each only. The prepared hybrid aluminum composite (reinforcing 1 wt.% to 3 wt.% in Al-6061 alloy) was considered for replacing the cylinder liner material in the piston-cylinder arrangement of engines.
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Md Sikandar Azam and Musarrat Shaheen
The purpose of this paper is to carry out an empirical investigation of the role of various factors such as economics, social, marketing, cultivation and government in adoption of…
Abstract
Purpose
The purpose of this paper is to carry out an empirical investigation of the role of various factors such as economics, social, marketing, cultivation and government in adoption of organic farming. Further, this study examines the factors that influence farmers’ choice of adopting organic farming, based on their demographic classification such as education level, farm size, farming experiences and land ownership of the organic farmers.
Design/methodology/approach
To address the research objectives, the primary data were collected with the help of a structured questionnaire from 200 respondents. In this study, the QUAL–QUAN sequence of mixed method design was used. Four focus groups were conducted to identify the factors of organic farming adoption. Further, multinomial regression analysis was applied to analyze the differential impact of these factors in relation to the farmers’ demographic classification.
Findings
The study found five major factors that affect the adoption of organic farming (economic, social, marketing, cultivation, government policy) in India. The study also observed that marketing and government policy factors were most crucial in influencing all types of farmers irrespective of their educational level. The farmers with more farming experience were more concerned about social factors. Similarly, the farmers using lease farms were found to be concerned about the economic viability of organic farming.
Social implications
This study suggests that without government support, the adoption of organic agriculture seems to be a highly challenging task in a situation, where majority of the farmers fall under the small and marginal category. Hence, to promote organic farming in a developing country like India, the government has to invest more in schemes where farmers should get exclusive training and support to strengthen their intention behind the adoption of the organic farming.
Originality/value
Based on the collective insights from the studies, the different stakeholders with interest in organic agriculture may frame necessary strategies to promote organic farming.
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Sampson Kofi Kyei, William Iheanyi Eke, Godfred Darko and Onyewuchi Akaranta
This study aims to synthesize pigment and resin from agro-wastes and use them in the formulation of eco-friendly surface coatings.
Abstract
Purpose
This study aims to synthesize pigment and resin from agro-wastes and use them in the formulation of eco-friendly surface coatings.
Design/methodology/approach
The pigments and resin were synthesized through a chemical modification of agro-wastes. The pigments were characterized by infrared spectroscopy (FTIR) and were screened for their antimicrobial activities. The physicochemical characteristics of the cashew nutshell liquid (CNSL)-modified resin were evaluated. These precursors and other natural additives were used to formulate surface coatings, and their drying and adhesive properties were evaluated using international testing methods.
Findings
It was observed that the curing of the CNSL-modified resin depended on time and temperature. The pigments exhibited antimicrobial activity against E. coli and S. aureus and had high melting points, affirming their stability. The chemically modified precursors successfully yielded surface coatings with acceptable drying times and adhesion to the base substrate.
Practical implications
The use of agro-wastes as the main components of the surface coatings implies waste valorization, a reduction in production costs and the creation of job opportunities for sustainable development. To increase the chemical, physical, corrosion resistance and antimicrobial qualities of paint compositions, chemically modified peanut skin extracts and CNSL can be used as pigments and resins, respectively. This could be a green approach to achieving the targets of Sustainable development goals 11 and 12.
Originality/value
The paper outlines a prospective approach to use unwanted waste (peanut skin, cashew nutshells) and other natural additives as industrial raw materials. These novel surface coating precursors are cost-effective, readily available, eco-friendly and could replace conventional precursors.
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Muttanachai Suttipun and Thanyaorn Yordudom
This study aims to survey the extent, level and trend of environmental, social and governance (ESG) disclosures of top50 listed companies from Thailand, to test the different…
Abstract
Purpose
This study aims to survey the extent, level and trend of environmental, social and governance (ESG) disclosures of top50 listed companies from Thailand, to test the different level of ESG disclosures of the companies between high profile industry and low profile industries and to examine the impact of ESG disclosures on the market reaction of top50 listed companies in Thailand.
Design/methodology/approach
Population and sample were top50 listed companies from the Stock Exchange of Thailand. Using corporate annual reports from 2015 to 2019, content analysis by word counting was used to quantify the extent, level and trend of ESG disclosures, while the market reaction was collected by the average stock price. Descriptive analysis, independent sample t-test, correlation matrix and multiple regression were used to analyze the data.
Findings
There was an increased level of ESG disclosures during the period being study. The most common ESG disclosures were social disclosure following by governance and environmental disclosures. Moreover, there were different levels of environmental disclosure of top50 listed companies between high and low profile industries, while no different levels of social and governance disclosures between high and low profile industries were found. Finally, the study found that environmental and social disclosures had a positive impact on market reaction, while there was a negative impact of governance disclosure on market reaction.
Originality/value
Thai investors can use ESG disclosures for their decision-making on investment.
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Pradeep K. Goyal, T.K. Datta and V.K. Vijay
The purpose of this paper is to present a method for evaluating vulnerability of rural houses to cyclonic wind for countries where systematic documentation and analysis of damage…
Abstract
Purpose
The purpose of this paper is to present a method for evaluating vulnerability of rural houses to cyclonic wind for countries where systematic documentation and analysis of damage data are inadequate. The effects of important parameters such as the ratio of non‐engineered to semi‐engineered houses, types of houses like old, new, etc. wind speed and damage states on the overall probability of failure are investigated.
Design/methodology/approach
A systematic procedure is presented for estimating the vulnerability of a cluster of rural houses to cyclones by performing a fragility analysis for different predefined damage states. The method is illustrated with the help of an example in which a hundred rural houses are considered in a region.
Findings
The results of the study show that the ratio (ns) has significant effect on the probability of failure for the middle range of the percentile value. The number of different types of houses does not have significant effect on the probability of failure and for high value of ns, a large number of houses have nearly the same probability of failure.
Originality/value
The method is useful in finding an initial estimate of the overall probability of failure of a cluster of houses for different damage states and accordingly, in deciding the optimal allocation of resources for cyclone disaster mitigation.
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This paper aims to study the productivity growth in the Indian apparel industry in aggregate over the period 1995–2015 and compare the performance of the Indian apparel industry…
Abstract
Purpose
This paper aims to study the productivity growth in the Indian apparel industry in aggregate over the period 1995–2015 and compare the performance of the Indian apparel industry during the decade of the Agreement on Textiles and Clothing (ATC) and the decade post its expiry.
Design/methodology/approach
The aggregate productivity performance has been studied using the technique of growth accounting and the translog index. A comparison of industry performance has also been made by analysing data. The data has been collated from Annual Survey of Industries reports, CMIE Economic Outlook and CMIE Industry Outlook databases.
Findings
The apparel industry has seen significant growth in terms of all industry variables and exports. However, the growth in exports is much lower than the growth in other industry variables related to output and input. While there is productivity improvement in aggregate over the study period, the quantum is low. Total factor productivity growth is positive and higher for the period post the ATC.
Originality/value
To the best of the author’s knowledge, there has been no such recent study comparing performance and productivity in Indian apparel manufacturing during and after the expiry of the ATC.
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