scholarly journals Study on the impact of calculation radius on IDW gravity modelling

2021 ◽  
Vol 290 ◽  
pp. 02015
Author(s):  
Yangtao Meng ◽  
Ruihang Yu ◽  
Juliang Cao ◽  
Shaokun Cai ◽  
Guowei Pan
Keyword(s):  
Gravity Data ◽  
Research Direction ◽  
Research Area ◽  
Gravity Modelling ◽  
Quadric Surfaces ◽  
Distance Weighted ◽  
Precise Prediction ◽  
New Research ◽  
The Impact ◽  
Inverse Distance

Gravity modelling is a necessary process of applying gravity data to practice, and a vital research area in resource exploring and geodesy. Inverse distance weighted (IDW) interpolation is a widely used algorithm in gravity modelling and many other griding procedures. Based on the gravity anomaly data acquired from the airborne gravimetry over a region in the Northwest of China, IDW method is analysed and implemented with varying calculation radius in gravity modelling. The results show that over the study area, with a proper calculation radius, the IDW can give a more precise prediction than quadric surfaces fitting (QSF) method. The distances between sampled points and unsampled points are the only information taken into consideration in the IDW interpolation, so the analysis of the influence by changing the calculation radius of the unsampled points in this test provides a new research direction of error eliminating when using IDW.

scholarly journals Citation review of Human-Machine Collaboration in Virtual Reality for Adaptive Production Engineering by de Giorgio et al.

2020 ◽  
Author(s):  
Andrea de Giorgio ◽  
Mauro Onori
Keyword(s):  
Virtual Reality ◽  
Industry 4.0 ◽  
Scientific Work ◽  
Research Direction ◽  
Research Area ◽  
Future Research ◽  
The Future ◽  
New Research ◽  
The Impact ◽  
The Given

This article argues that despite a citation review is a rarely used research tool, this can be very useful to assess the impact of new research topics, both from the future research direction and the bibliometric perspectives. An explorative study is presented around the research area marked as Industry 4.0 with the conference paper mentioned in the title of this citation review. Even though the given reference paper is relatively recent, there are already twenty-seven citations listed among three different scholar databases. These are Google Scholar, ResearchGate and Semantic Scholar. In light of this, the article provides a bibliometric confirmation and analysis for the progression of the line of research adopted by de Giorgio et al. in the exploration of non-traditional methods using virtual reality technology and human-robot collaboration for adaptive applications in Industry 4.0. Furthermore, it represents a model for the authors’ self-development and an example of an unconventional approach to scientific work that may help improve related bibliometric research and scholar database strategies to index new articles and topics in the future.

A systematic review of e-tail product returns and an agenda for future research

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Kamrul Ahsan ◽  
Shams Rahman
Keyword(s):  
Literature Review ◽  
Systematic Literature Review ◽  
Research Area ◽  
Future Research ◽  
Product Returns ◽  
Content Type ◽  
People Skills ◽  
New Research ◽  
Returns Management ◽  
The Impact

PurposeThis study conducts a systematic literature review of e-tail product returns research. E-tail product returns are essentially acquisition of products that have been sold through purely online or brick-and-click channels and then returned by consumer to business.Design/methodology/approachUsing a systematic literature review protocol, we identified 75 peer-reviewed articles on e-tail product returns, conducted bibliometric analysis and content analysis of the articles and summarised our findings.FindingsThe findings reveal that the subject of e-tail returns is a new research area; academics have started to investigate several aspects of e-tail returns through different research methodologies and theoretical foundations. Further research is required in leading e-commerce countries and on key areas such as omni-channel returns management, customer satisfaction and service, the impact of resources such as people skills, the benefits of technology and IT systems in managing e-tail returns.Practical implicationsThe study offers a summative account of current e-tail knowledge areas, which can serve as a reference guide for e-tailers to develop strategies for more efficient and competitive product returns.Originality/valueThis study contributes theoretically by developing clusters of key themes or knowledge areas about e-tail returns. It also provides a conceptual framework for e-tail returns management, which can be used as a springboard for further empirical research.

Etropy Problem Simulation in Landscape Ecology Assessment Based on GIS – A Case Study of Landscape Conservation Value Assessment in Sa Pa District, Lao Cai Province, Vietnam

2013 ◽  
Vol 295-298 ◽  
pp. 2373-2377
Author(s):  
Quoc Lap Kieu ◽  
Xin Cai Wu ◽  
Tien Thanh Nguyen
Keyword(s):  
Landscape Ecology ◽  
Research Direction ◽  
Research Area ◽  
Landscape Conservation ◽  
Value Assessment ◽  
Research Results ◽  
Indicator Analysis ◽  
Lao Cai ◽  
New Research

The Etropy problem has been widely applied in the assessment and analysis of landscape ecology. Research results are just at the indicators, not able to describe the spatial distribution of the landscape. In this paper, we will simulate the results of the application Etropy problem in landscape assessment based on a GIS. A GIS is used to store the information of layers on landscape structure, indicator analysis and map-layer assessment. This is a new research direction, research results of Etropy problem will be simulated by the evaluation map. Research have been applied in Sa Pa area - one of Vietnam's most mountainous district. Research results shown the landscape diversity in the research area and landscape area identification to be conserved.

scholarly journals Performance Evaluation of Hadoop in Cloud for Big Data

2018 ◽  
Vol 7 (4.15) ◽  
pp. 16
Author(s):  
Mohammed Fakherldin ◽  
Ibrahim Aaker Targio Hashem ◽  
Abdullah Alzuabi ◽  
Faiz Alotaibi
Keyword(s):  
Cloud Computing ◽  
Big Data ◽  
Virtual Machines ◽  
File Systems ◽  
Research Direction ◽  
Distributed File Systems ◽  
Hadoop Mapreduce ◽  
Recent Trends ◽  
New Research ◽  
The Impact

Recent trends in big data have shown that the amount of data continues to increase at an exponential rate. This trend has inspired many researchers over the past few years to explore new research direction of studies related to multiple areas in big data. Hadoop is one of the most popular platforms for big data, thus, Hadoop MapReduce is used to store data in Hadoop distributed file systems. While, cloud computing is considered an excellent candidate for storing and processing the big data. However, processing big data across multiple nodes is a challenging task. The problem is even more complex using virtualized clusters in a cloud computing to execute a large number of tasks. This paper provides a review and analysis of the impact of using physical versus cloud cluster in the processing a large amount of data. This analysis has an impact on the processing in terms of execution time and cost of using each one of them. The result indicates that the use of cloud virtual machines helped better utilize the resources of the host computer. 

scholarly journals Optimal Sensor Placement and Leak/Burst Localisation in a Water Distribution System Using Spatially-Constrained Inverse-Distance Weighted Interpolation

10.29007/37cp ◽  
2018 ◽  
Author(s):  
Shaun Boatwright ◽  
Michele Romano ◽  
Stephen Mounce ◽  
Kevin Woodward ◽  
Joby Boxall
Keyword(s):  
Distribution System ◽  
Distribution Systems ◽  
Water Distribution ◽  
Sensor Placement ◽  
Significant Risk ◽  
Inverse Distance Weighted ◽  
Search Area ◽  
Distance Weighted ◽  
The Impact ◽  
Inverse Distance

Water loss from water distribution systems (WDS) is an ongoing problem which poses a significant risk to water resources around the world. This paper presents a novel combined sensor placement – leak/burst localisation methodology which forms, and analyses by using sc inverse-distance weighted (IDW) interpolation, a sensitivity matrix to determine, on average, how accurately each sensor configuration localises leaks/bursts modelled at all nodes in a WDS. For a given number of sensors, the multi-objective evolutionary algorithm determines the optimal location of sensors to maximise the leak/burst localisation performance using the sc-IDW outputs in its objective function. Once the optimal sensor location is selected, the sc-IDW technique is used when new leaks/bursts occur in the WDS to determine their approximate location. A benchmark WDS was used to compare the leak/burst localisation performance against a baseline sensor placement technique. The comparison indicated that by using the sc-IDW technique for both the sensor placement and leak/burst localisation steps the leak/burst search area was reduced in size by between 9 and 26%. Reducing the leak/burst search area allows field teams to more quickly repair a leak/burst and reduce the impact that it has on water company operational efficiency and customer service.

scholarly journals Genetic Learning: A New Conceptual Framework for Studying the Impact of the Environment on Changes in Genetic Behavior

2021 ◽  
Author(s):  
Sean Hughes ◽  
Jan De Houwer
Keyword(s):  
Genetic Material ◽  
Research Area ◽  
Behavior Changes ◽  
Genetic Activity ◽  
Genetic Level ◽  
Nature And Nurture ◽  
Living Organisms ◽  
New Research ◽  
Future Work ◽  
The Impact

Research shows that genetic material and environment are engaged in an ongoing conversation, one that dictates both physiology and psychology. In this paper we argue that genetic material and environment are not engaged in a single conversation but rather multiple types of conversations, and offer researchers a set of conceptual tools to better understand what nature and nurture are saying to one another. In Part I we highlight three types of activity that can be studied: behavior, changes in behavior, and learning. We define what it means to say that learning has taken place and highlight different ways in which living organisms do so. In Part II we apply this analysis to the genetic level. We argue that until now, the life and social sciences have primarily focused on two types of genetic activity (genetic behavior and changes in genetic behavior), while a third (genetic learning) is still waiting to be explored systematically. In Part III we consider how our approach better organizes past, present, and future work on genetic activity (heuristic value) and opens up a new research area centered on genetic learning (generative value).

scholarly journals The internal audit dilemma – the impact of executive directors versus audit committees on internal auditing work

2017 ◽  
Vol 32 (9) ◽  
pp. 854-878 ◽  
Author(s):  
Marc Eulerich ◽  
Jörg Henseler ◽  
Annette G. Köhler
Keyword(s):  
Internal Audit ◽  
Research Direction ◽  
Interaction Effects ◽  
Audit Committees ◽  
Executive Directors ◽  
Content Type ◽  
Internal Auditors ◽  
Body Of Knowledge ◽  
New Research ◽  
The Impact

Purpose The purpose of this study is to analyze how internal audit function (IAF) activities differ, depending on the impact of executive boards (EBs) and audit committees (ACs). Design/methodology/approach This study is based on data collected from the Common Body of Knowledge (CBOK) study conducted by the Institute of Internal Auditors Research Foundation in 2010. Using 524 responses from US Chief audit executives the authors examine the direct and interaction effects of ACs and EBs on the probability to perform specific activities with a logistic regression model. Findings This manuscript shows that ACs and EBs have different direct and interaction effects on the portfolio of activities performed by the IAF. Furthermore, a varying prevalence among activities was identified, which pinpoints to the maturity of IAFs. All findings contribute to the prior and recent discussion about the position of IAFs between the stakeholders’ AC and EB. Research limitations/implications When the CBOK study was designed by the Institute of Internal Auditors, the investigators did not have the research questions in mind. The authors are therefore limited to those variables that have been collected as part of a larger questionnaire. Nevertheless, the new approach tries to open a new research direction, analyzing different activities performed by IAFs. Practical implications The identified portfolio of IAF activities can help practitioners to double-check their own work and to evaluate the impact of the EB and the AC on their activities. Originality/value This study provides the first empirical evidence of the influence of ACs and EBs on IAF activities.

scholarly journals Why Do Consumers Make Green Purchase Decisions? Insights from a Systematic Review

2020 ◽  
Vol 17 (18) ◽  
pp. 6607
Author(s):  
Xiaoyun Zhang ◽  
Feng Dong
Keyword(s):  
Longitudinal Research ◽  
Research Direction ◽  
Purchase Behavior ◽  
Future Research ◽  
Purchase Decisions ◽  
Recycled Paper ◽  
Recycled Glass ◽  
Extended Application ◽  
New Research ◽  
The Impact

In order to achieve sustainable development to protect the environment and society, an increasing number of scholars have conducted in-depth research on green marketing and green purchases. Although great achievements have been made in this field, there still is room for further progress. This study reviews 97 papers providing empirical research on green purchase behavior from 2015 to 2020. First, we review the widely used consumer theory and its extended application in recent years. Second, we divide the influencing factors of green purchase behavior into the following three categories and discuss them in detail: individual factors, product attributes and marketing, and social factors. Finally, we put forward the following possible directions for future research. (1) The authors can consider adjustment to the survey objects to weaken the subjectivity of the data. (2) Longitudinal research can be used to assess the impact of education and policies with a lagging effect on consumers. (3) The authors can broaden the research direction towards a cross-cultural background. (4) The behavior of various green products (such as recyclable tires, recycled glass containers, recycled paper) could be explored to enrich the research content. (5) It will be beneficial to combine a variety of consumer theories to explore the green purchase behavior of consumers and break through the existing linear hypothesis path to explore new research methods.

Piezoelectric β-polymorph formation of new textiles by surface modification with coating process based on interfacial interaction on the conformational variation of poly (vinylidene fluoride) (PVDF) chains

2020 ◽  
Vol 91 (3) ◽  
pp. 31301
Author(s):  
Nabil Chakhchaoui ◽  
Rida Farhan ◽  
Meriem Boutaldat ◽  
Marwane Rouway ◽  
Adil Eddiai ◽  
...  
Keyword(s):  
High Efficiency ◽  
Vinylidene Fluoride ◽  
Research Work ◽  
Research Area ◽  
Interfacial Interaction ◽  
Tetraethyl Orthosilicate ◽  
Poly Vinylidene Fluoride ◽  
Carbon Nanofillers ◽  
The Impact ◽  
Advanced Applications

Novel textiles have received a lot of attention from researchers in the last decade due to some of their unique features. The introduction of intelligent materials into textile structures offers an opportunity to develop multifunctional textiles, such as sensing, reacting, conducting electricity and performing energy conversion operations. In this research work nanocomposite-based highly piezoelectric and electroactive β-phase new textile has been developed using the pad-dry-cure method. The deposition of poly (vinylidene fluoride) (PVDF) − carbon nanofillers (CNF) − tetraethyl orthosilicate (TEOS), Si(OCH2CH3)4 was acquired on a treated textile substrate using coating technique followed by evaporation to transform the passive (non-functional) textile into a dynamic textile with an enhanced piezoelectric β-phase. The aim of the study is the investigation of the impact the coating of textile via piezoelectric nanocomposites based PVDF-CNF (by optimizing piezoelectric crystalline phase). The chemical composition of CT/PVDF-CNC-TEOS textile was detected by qualitative elemental analysis (SEM/EDX). The added of 0.5% of CNF during the process provides material textiles with a piezoelectric β-phase of up to 50% has been measured by FTIR experiments. These results indicated that CNF has high efficiency in transforming the phase α introduced in the unloaded PVDF, to the β-phase in the case of nanocomposites. Consequently, this fabricated new textile exhibits glorious piezoelectric β-phase even with relatively low coating content of PVDF-CNF-TEOS. The study demonstrates that the pad-dry-cure method can potentially be used for the development of piezoelectric nanocomposite-coated wearable new textiles for sensors and energy harvesting applications. We believe that our study may inspire the research area for future advanced applications.

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