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The Effects of Disruptive Thinking on the Food Industry*
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作者 Omotola Oluwakemi Dairo Bernard Boamah Bekoe 《Advances in Bioscience and Biotechnology》 CAS 2024年第6期360-379,共20页
This study aimed to understand disruptive thinking and how its ideas can change the food industry. This was achieved by identifying, studying, and understanding the impacts, current trends, and different disruptive id... This study aimed to understand disruptive thinking and how its ideas can change the food industry. This was achieved by identifying, studying, and understanding the impacts, current trends, and different disruptive ideas and innovations emerging in the food industry. The study was conducted through interpretive research philosophy by carrying out secondary data collection processes, where both qualitative and quantitative information was presented. Deductive approaches were also selected to apply existing theories and models, which were used to construct research hypotheses and present detailed findings. The study finds that, with disruptive thinking, enhancements in the product life cycle, new flavors, and improvements in food packaging have been possible. The supply chain, which is always considered a complex part of the food industry, has been streamlined, offering greater transparency and real-time tracking and improving quality control across distribution systems. 展开更多
关键词 Disruptive Thinking Food Industry Supply Chain Lab-Grown Meat BIOTECHNOLOGY
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Role of Wireless Handheld Technology by Nurses in Healthcare Environment
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作者 Abdul Hafeez-Baig Raj Gururajan 《Computer Technology and Application》 2012年第8期550-557,共8页
One of the emerging technologies is wireless handheld technology. Implication of these devices is enormous for business community and healthcare domain is not an exception to this phenomena. This research paper provid... One of the emerging technologies is wireless handheld technology. Implication of these devices is enormous for business community and healthcare domain is not an exception to this phenomena. This research paper provides some useful findings about the use of PDA's in the healthcare environment through actual usage of PDA in the healthcare ward. A qualitative and quantitative approach is adopted to explore these phenomena due to the exploratory nature of the research. Findings of this study identify some of the motivators and issues associated with the wireless handheld technology in healthcare environment. Furthermore, it is also found that these wireless handheld devices can help to improve the quality of care through better decision making processes. This study is limited to only one sate of Australian and further research is needed to see the implication of the findings to wider community and other domains in the Australian environment. 展开更多
关键词 Smart technology ICT (information and communication technology) wireless handheld devices healthcare adoption andactual use decision.
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Application of Deep Learning to Production Forecasting in Intelligent Agricultural Product Supply Chain
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作者 Xiao Ya Ma Jin Tong +3 位作者 Fei Jiang Min Xu Li Mei Sun Qiu Yan Chen 《Computers, Materials & Continua》 SCIE EI 2023年第3期6145-6159,共15页
Production prediction is an important factor influencing the realization of an intelligent agricultural supply chain.In an Internet of Things(IoT)environment,accurate yield prediction is one of the prerequisites for a... Production prediction is an important factor influencing the realization of an intelligent agricultural supply chain.In an Internet of Things(IoT)environment,accurate yield prediction is one of the prerequisites for achieving an efficient response in an intelligent agricultural supply chain.As an example,this study applied a conventional prediction method and deep learning prediction model to predict the yield of a characteristic regional fruit(the Shatian pomelo)in a comparative study.The root means square error(RMSE)values of regression analysis,exponential smoothing,grey prediction,grey neural network,support vector regression(SVR),and long short-term memory(LSTM)neural network methods were 53.715,6.707,18.440,1.580,and 1.436,respectively.Among these,the mean square error(MSE)values of the grey neural network,SVR,and LSTM neural network methods were 2.4979,31.652,and 2.0618,respectively;and theirRvalues were 0.99905,0.94,and 0.94501,respectively.The results demonstrated that the RMSE of the deep learning model is generally lower than that of a traditional prediction model,and the prediction results are more accurate.The prediction performance of the grey neural network was shown to be superior to that of SVR,and LSTM neural network,based on the comparison of parameters. 展开更多
关键词 Internet of things intelligent agricultural supply chain deep learning production prediction
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The impact of green finance,eco-innovation,renewable energy and carbon taxes on CO_(2) emissions in BRICS countries:Evidence from CS ARDL estimation
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作者 Muhammad Sadiq Ka Yin Chau +3 位作者 Nguyen Tran Thai Ha Thi Thu Hien Phan Thanh Quang Ngo Pham Quang Huy 《Geoscience Frontiers》 SCIE CAS CSCD 2024年第4期449-458,共10页
A sharp increase in economic and human development has multiplied the carbon intensity due to which there is a significant need of effective strategies in order to curb carbon emissions.Thus,the present study aims to ... A sharp increase in economic and human development has multiplied the carbon intensity due to which there is a significant need of effective strategies in order to curb carbon emissions.Thus,the present study aims to examine the effective of green finance,eco-innovation,renewable energy output(REO),renewable energy consumption(REC),and carbon taxes on carbon dioxide(CO_(2))emissions in BRICS countries in the time of 2001-2020.Cross-sectional autoregressive distributed lag(CS ARDL)is used to test the connection among the variables.Empirical estimations of CS-ARDL approach validates the effectiveness of green finance,eco-innovation,REO,REC,carbon taxes,and industrialization as the relationship of these factors with carbon emissions is negative in nature in BRICS economies.Based on the evidences,the study recommends the formulation of environmentally friendly practices and advancement in green finances to mitigate carbon emissions. 展开更多
关键词 Green finance ECO-INNOVATION Renewable energyoutput Carbon taxes Environmental degradation CO_(2)emissions
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Brain Research on Mental Disorders: A Criticism
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作者 John R. Rossiter 《Open Journal of Medical Psychology》 2024年第3期71-85,共15页
Objective: To expose the problems and inherent limitations of neuroscience-based brain research on mental disorders. Method: Discussion of the theory underlying brain research on mental disorders, followed by a system... Objective: To expose the problems and inherent limitations of neuroscience-based brain research on mental disorders. Method: Discussion of the theory underlying brain research on mental disorders, followed by a systematic evaluation of typical studies. Results: The fundamental problem is that brain researchers fail to differentiate between biological mental disorders in which brain processes cause the disorder (notably schizophrenia, bipolar disorder, and melancholic depression) and learned mental disorders in which brain processes mediate but do not cause the disorder (which is the case with reactive depression, reactive anxiety, OCD, and PTSD). Researchers have been unsuccessful in identifying mechanisms in the brain that cause biological mental disorders, and will never be able to locate the innumerable specific neural connections that mediate learned mental disorders. Moreover, the author’s review of typical studies in this field shows that they have serious problems with theory, measurement, and data analysis, and that their findings cannot be trusted. Conclusions: Neuroscience-based brain research on mental disorders, unlike other neurological research, has been an expensive failure and it is not worth continuing. 展开更多
关键词 Neuroscience-Based Brain Research Biological Mental Disorders Learned Mental Disorders Research Problems
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Image Processing of Manganese Nodules Based on Background Gray Value Calculation 被引量:3
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作者 Hade Mao Yuliang Liu +2 位作者 Hongzhe Yan Cheng Qian Jing Xue 《Computers, Materials & Continua》 SCIE EI 2020年第10期511-527,共17页
To troubleshoot two problems arising from the segmentation of manganese nodule images-uneven illumination and morphological defects caused by white sand coverage,we propose,with reference to features of manganese nodu... To troubleshoot two problems arising from the segmentation of manganese nodule images-uneven illumination and morphological defects caused by white sand coverage,we propose,with reference to features of manganese nodules,a method called“background gray value calculation”.As the result of the image procession with the aid this method,the two problems above are solved eventually,together with acquisition of a segmentable image of manganese nodules.As a result,its comparison with other segmentation methods justifies its feasibility and stability.Judging from simulation results,it is indicated that this method is applicable to repair the target shape in the image,and segment the manganese nodule image in a short time.Also,it could be used to synchronously process a large number of manganese nodules on different conditions in an image,laying a good foundation for automatic underwater manganese nodule survey.Even if the target in the image is slightly distorted,the statistical data of manganese nodules are still accurate.Moreover,other methods cannot be fully applied to the segmentation of manganese nodule images;in another word,the effectiveness and stability of this method are proved. 展开更多
关键词 Underwater image image segmentation morphological dilation and erosion manganese nodules
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Sustainability of Transhumance Grazing Systems under Socio-economic Threats in Langtang,Nepal 被引量:1
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作者 Suman ARYAL Tek Narayan MARASENI Geoff COCKFIELD 《Journal of Mountain Science》 SCIE CSCD 2014年第4期1023-1034,共12页
The decline or loss of traditional social- ecological systems may induce adverse effects to the societies and ecosystems. Transhumance, the recurring and seasonal movement of grazing livestock, is increasingly constra... The decline or loss of traditional social- ecological systems may induce adverse effects to the societies and ecosystems. Transhumance, the recurring and seasonal movement of grazing livestock, is increasingly constrained by a numbers of factors including policy, land use and soeio-economic changes in Nepal. To explore how these changes have affected the transhumance, this study investigated transhumance at the Langtang valley in central Nepal. The specific objectives of this study were to determine the herd size and composition, spatial-temporal patterns and to identify the major drivers of the system and the system changes. Data were collected from field study comprising semi-structured interviews with the herders, focus group discussions, key informants survey, and observations of rangeland and livestock management systems. The study revealed that the transhumanee system in the Langtang is influenced by two types of drivers. In one hand, traditional practices are contributing to the sustainability of the system. On the other hand, the grazing patterns and adaptive responses are strongly influenced by changes in government policies, socioeconomic and cultural transformation, livestock productivity, markets, rangeland conditions and climate change. The findings of this study help with the development and implementation of transhumance management policy for the sustainability. 展开更多
关键词 Chauri DRIVERS Langtang Nepal TRANSHUMANCE
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At what levels of financial development does information sharing matter?
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作者 Simplice A.Asongu Jacinta C.Nwachukwu 《Financial Innovation》 2017年第1期116-145,共30页
Background:The purpose of this study is to investigate how an increase in information-sharing bureaus affects financial access.Methods:We employed contemporary and non-contemporary interactive quantile regressions in ... Background:The purpose of this study is to investigate how an increase in information-sharing bureaus affects financial access.Methods:We employed contemporary and non-contemporary interactive quantile regressions in 53 African countries for the period 2004–2011.Information-sharing bureaus are proxied with public credit registries and private credit offices.Financial development dynamics involving depth(at overall economic and financial system levels),efficiency(at banking and financial system levels),activity(from banking and financial system perspectives),and size are used.Results:Two key findings are established.First,the effect of an increase in private credit bureaus is not clearly noticeable on financial access,probably because private credit agencies are still to be established in many countries.Second,an increase in public credit registries for the most part improves financial allocation efficiency and activity(or credit)between the 25th and 75th quartiles.Conclusions:As a main policy implication,countries in the top and bottom ends of the financial efficiency and activity distributions are unlikely to benefit from enhanced financial allocation efficiency as a result of an increase in public credit registries. 展开更多
关键词 Information sharing Financial development Quantile regression
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Role of supply chain management in target costing
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作者 Mohammad Talha John B.Raja 《Journal of Modern Accounting and Auditing》 2010年第7期46-57,共12页
Standard costing is used as a control for product costing. But with life cycle becoming shorter, costing should be done at the design and development stage of a product. This is achieved through target costing.The imp... Standard costing is used as a control for product costing. But with life cycle becoming shorter, costing should be done at the design and development stage of a product. This is achieved through target costing.The implementation of target costing and target pricing is done with the ultimate purpose of cost reduction, cost understanding, continuous improvement, competitiveness, early purchasing and supplier involvement, and improved design and accountability by manufacturers. The study explores the participation of the purchasing and supply chain management's role in target costing and target pricing process. Supply management plays an active role in monitoring the ongoing cost and performance of suppliers during the early stages of product development. Implementation of target costing and target pricing in various organizations are also explored. Leading Japanese manufacturers have used target costing and target pricing systems to their advantage and the paper also examines the adaptation of the Western companies to these proactive cost management techniques to improve their product development processes. 展开更多
关键词 target costing supply chain management product lifecycle costing target pricing Kaizen costing
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A Confirmatory Factor Analysis on the Views and Constructs for Knowledge Management in India
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作者 Raj Gururajan Abdui Hafeez-Baig Heng-Sheng Tsaia 《Computer Technology and Application》 2012年第1期98-104,共7页
For a modem organization, KM (Knowledge Management) plays a critical role in terms of strategy development. Key determinants of KM lead to better understanding of various influences that enable and organisation to f... For a modem organization, KM (Knowledge Management) plays a critical role in terms of strategy development. Key determinants of KM lead to better understanding of various influences that enable and organisation to face competitors. For this reason, sharing and managing knowledge in an organization involves a series of activities that are related to the specific functional aspects of that organisation. In order to foster KM in an organisation, these functional aspects must be understood properly, and within the context of a given organisation, its geographical location and the cultural aspects of the given organisation. This was the premise on which this study was conducted with Indian organisations. A mixed method approach was used to understand the views of Indian region towards KM in this study, be selecting 400 participants in four major each cities. A second order regression model was built using Structural Equation Model to arrive at nine constructs that are relevant to KM in an organisation. 展开更多
关键词 Knowledge management knowledge management systems organisational performance.
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Development of Sustainable Tourism on the Example of the Montenegrin Coast
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作者 SlađanaŽivanović MiodragŽivanović 《Chinese Business Review》 2021年第6期196-206,共11页
Sustainable tourism represents a form of tourism which generates and creates economic benefits for the local community and at the same time takes care of the local ecosystem as well as the culture and customs of the l... Sustainable tourism represents a form of tourism which generates and creates economic benefits for the local community and at the same time takes care of the local ecosystem as well as the culture and customs of the local community.This form of tourism is mostly convenient for rural areas which have contained their natural and socio-cultural uniqueness.Unfortunately,the potentials of Montenegro for developing this form of tourism are slightly or almost hardly exploited.A crucial limiting factor for developing ecotourism is a lack of an overall strategy which would stimulate and enhance the development of many potential tourist destinations which did not valorise their tourists during the development of ecotourism,as well as those tourist destinations which did so but in an improper and insufficient way.The aim of this paper is to point out the state and possibilities for developing ecotourism based on sustainable tourism in selected areas along the Montenegrin Coast and to emphasise guidelines for sustainable development of these areas in the future.This is why an empirical research has been conducted based on the method of semi-structured interviews.By developing ecotourism and managing resources in accordance with sustainable development of this area,a high quality tourist product could be offered to the market. 展开更多
关键词 sustainable tourism ECOTOURISM possibilities of development
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排污权交易条件下污水处理商投资行为分析 被引量:3
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作者 陈忠全 赵新良 陈稚松 《技术经济》 CSSCI 2012年第8期100-104,121,共6页
基于排污权交易制度,运用Hotelling模型,在双寡头垄断专业污水处理市场中引入竞优机制,分析专业污水处理企业的投资动机。结果表明:在条状城市中,两企业的建厂选址策略受双方边际成本及单位污水运输费的影响;两寡头垄断企业竞优的结果... 基于排污权交易制度,运用Hotelling模型,在双寡头垄断专业污水处理市场中引入竞优机制,分析专业污水处理企业的投资动机。结果表明:在条状城市中,两企业的建厂选址策略受双方边际成本及单位污水运输费的影响;两寡头垄断企业竞优的结果存在两种情形,一种是两企业分别选择在城市两端建厂的策略,一种是边际成本较小的企业在选址上具有主动权、有多种选择策略;双方关于边际成本的竞优博弈具有直接效应和策略效应。 展开更多
关键词 环境容量 排污权交易 污水处理 HOTELLING模型 竞优机制
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Optimal Inspection and Replacement Strategy for Systems Subject to Two Types of Failures with Adjustable Inspection Intervals
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作者 马晓洋 王文彬 +1 位作者 刘学娟 彭锐 《Journal of Shanghai Jiaotong university(Science)》 EI 2017年第6期752-755,共4页
The inspection activities are often carried out to detect possible indication of failures in plant systems.This paper considers a single unit system subject to two types of failures, where one failure mode is the trad... The inspection activities are often carried out to detect possible indication of failures in plant systems.This paper considers a single unit system subject to two types of failures, where one failure mode is the traditional0-1 logic failure and the other failure mode is described by a two-stage failure process. Adjustable inspections are used to detect the defective stage of the latter. We assume that the inspection duration gets shorter and shorter with a constant ratio. At the same time, preventive replacement is used to avoid the possible failure due to the former failure mode. The renewal process of this system is analyzed and the expected long-run cost per unit time(ELRCUT) is derived. The optimal inspection period and the preventive replacement interval to minimize ELRCUT are studied. At last, a numerical example is presented to illustrate the proposed model. 展开更多
关键词 INSPECTION delay-time preventive replacement two-stage failure process
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Transfer Pricing,Taxing Rights over Cross-Border Sales Income and the OECD Two-Pillar Response
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作者 Kerrie Sadiq Richard Krever 《Belt and Road Initiative Tax Journal》 2023年第2期74-81,共8页
The confluence of several factors including government fiscal pressures and growing opportunities for tax minimization in a digital economy prompted the OECD to embark on a program to reduce base erosion and profit sh... The confluence of several factors including government fiscal pressures and growing opportunities for tax minimization in a digital economy prompted the OECD to embark on a program to reduce base erosion and profit shifting(BEPS).At the same time,countries became increasingly unhappy about international tax rules that left them unable to impose income taxes on companies earning profits by selling to customers inside their country without establishing a taxable presence there.The frustration led to unilateral responses that prompted the OECD to develop proposals to address this problem as well.The OECD’s proposals to reduce profit shifting and enhance taxing rights of sales destination countries evolved into what are now known as Pillar One and Pillar Two international tax reforms.This paper provides an overview of the operation of each of the Pillars and notes the limitations that prevent them from addressing the underlying causes of profit shifting and providing full taxing rights to sales destination jurisdictions. 展开更多
关键词 Transfer pricing Taxing rights Base erosion and profit shifting International tax reform Two-Pillar reform SALES
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Banking with blockchain-ed big data 被引量:4
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作者 Hossein Hassani Xu Huang Emmanuel Silva 《Journal of Management Analytics》 EI 2018年第4期256-275,共20页
Blockchain is disrupting the banking industry and contributing to the increased big data in banking.However,there exists a gap in research and development into blockchain-ed big data in banking from an academic perspe... Blockchain is disrupting the banking industry and contributing to the increased big data in banking.However,there exists a gap in research and development into blockchain-ed big data in banking from an academic perspective,and this gap is expected to have a significant negative impact on the adoption and development of blockchain technology for banking.In hope of motivating more active engagement by academics,researchers and bankers alike,we present the most comprehensive review of the impact of blockchain in banking to date by summarizing the opportunities and challenges from a bankers perspective.In addition,we also discuss the impact that big data from blockchain will have on banking data analytics in future and show the increasing importance of filtering and signal extraction for the banking industry.Whilst there is evidence of selected banks adopting blockchain technology in isolation or small groups,we find the need for extensive research and development into several aspects of banking with blockchain to overcome the challenges which are currently hindering its adoption in banking across the globe. 展开更多
关键词 blockchain big data BANKING OPPORTUNITIES challenges signal extraction
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Do Chinese Retail Option Traders Know Anything about Market Volatility? 被引量:1
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作者 Ming-Hua Liu Nanda K. Rangan 《Frontiers of Business Research in China》 2012年第4期508-526,共19页
This paper examines the information content of implied volatility in the Chinese covered warrant market and finds that the implied volatility is consistently higher than the realized volatility for .all warrants and a... This paper examines the information content of implied volatility in the Chinese covered warrant market and finds that the implied volatility is consistently higher than the realized volatility for .all warrants and across all maturities. The implied volatility has very little information content for future volatility in the Chinese warrant market which is dominated by retail investors. Possible explanations for the results are regulatory issues such as restrictions on the short-selling of warrants, differential trading rules for stocks and warrants, high leverage and low trading costs and a market dominated by retail investors. 展开更多
关键词 covered warrants equity warrants implied volatility option trading
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Enhancing pedestrian mobility in Smart Cities using Big Data
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作者 Ebony Carter Patrick Adam +3 位作者 Deon Tsakis Stephanie Shaw Richard Watson Peter Ryan 《Journal of Management Analytics》 EI 2020年第2期173-188,共16页
Smart City is an emerging concept in global urban development.A Smart City applies ICT technologies to provide greater efficiencies for its urban areas and civilian population.One of the key requirements for a Smart C... Smart City is an emerging concept in global urban development.A Smart City applies ICT technologies to provide greater efficiencies for its urban areas and civilian population.One of the key requirements for a Smart City is to exploit data from its ICT infrastructure(such as Internet of Things connected sensors)to improve city services and features such as accessibility and sustainability.To address this requirement,the City of Melbourne(COM)Smart City office maintains several hundred data sets relating to urban activity and development.These datasets address parking,mobility,land use,3D data,statistics,environment,and major city developments such as rail projects.One promising dataset relates to pedestrian traffic.Data are obtained from sensors and updated on the COM website(City of Melbourne Open Data Platform:https://data.melbourne.vic.gov.au/.)at regular intervals.These data include the number of pedestrians passing 53 specific locations in the central business district and also their times and directions of travel.In a 24 h period,over 650,000 pedestrians were counted passing all locations.Peak rates of several thousand pedestrians per minute are regularly recorded during city rush hours at hotspots making the data amenable to Big Data analysis techniques.Results are obtained in graphical format as heatmaps and charts of city pedestrian traffic using both Microsoft Excel^(■)for static analysis and PowerBI^(■)for more advanced interactive visualisation and analysis.These findings can identify pedestrian hotspots and inform future locations of traffic lights and street configurations to make the city more pedestrian friendly.Further,the experience gained can be used to examine other data sets such as bicycle traffic that can be analysed to inform city infrastructure projects.Future work is suggested that could link these pedestrian flow data with social media data from smartphones and potentially wearable devices such as fitness monitors to correlate pedestrian satisfaction with traffic flow.The‘happiness’effect of pedestrians passing through green areas such as city parks can also be quantified.This research was undertaken with the assistance of Swinburne University under its Capstone Project scheme. 展开更多
关键词 Internet of Things Smart Cities Big Data analytics
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