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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Yinyin Wang; Lokeshkumar Kumar; Vijayanandh Raja; Hussein A. Z. AL-bonsrulah; +4 Authors

    At present, surveillance is attracting attention in the field of UAV development. In particular, border surveillance plays a vital role in obtaining the required data around the border and for assisting in military operations. The primary function of this Hybrid UAV (VTOL and Fixed Wing) is to provide prerequisite data, captured during day/night surveillance, to the respective database. One of the primary problems that arise in border patrolling is the use of the UAV under different environmental conditions, thereby reducing its endurance firmly. In addition to the surveillance equipment, energy harvesting techniques are involved in solving the problem of endurance. The piezoelectric energy harvester and solar panels are added to harvest electrical energy in the UAV. Based on this application, the conceptual design of the Hybrid UAV, based on nature, was designed and investigated theoretically, as well as computationally. A series of analysis, which includes Computational Fluid Dynamics, Finite Element Analysis and Analytical approach, was used to determine the energy harvested from the energy harvester. This work confirms the proposed integrated engineering approach for the estimation of renewable energy, via PVEH patches, and the same approach is thus offered to researchers for subsequent applications. Additionally, a hybrid energy idea for newly developed drones was proposed in this work. This concept will be extensively used in the unmanned aircraft system sectors.

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ Sustainabilityarrow_drop_down
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Sustainability
    Other literature type . Article . 2022 . Peer-reviewed
    License: CC BY
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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ Sustainabilityarrow_drop_down
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
      Sustainability
      Other literature type . Article . 2022 . Peer-reviewed
      License: CC BY
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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Prakash Kumar Sarangi; Akhilesh Kumar Singh; Rajesh Kumar Srivastava; Vijai Kumar Gupta;

    Worldwide, a huge production of agro-industrial wastes is observed every year in the milling, brewing, agricultural, and food industries. Biochemical and bioactive substances can be produced from these agricultural wastes. Pineapple by-products, which consist of the peeled skin, core, crown end, etc., account for 60% of the weight of pineapple fruit and are disposed of as waste, causing disposal and pollution problems. The bioconversion process can utilize these wastes, which are rich in cellulose and hemicellulose, the main components, to produce value-added biochemicals/bioactive compounds such as pectin, citric acid, bromelain, ferulic acid, vanillin, and so on. Therefore, the sustainable solution for food and nutrition security can be supported by the utilization of pineapple waste. The proposed review article addresses approaches that do not generate waste while adding value. This can be achieved by using innovative biorefinery techniques such as green extraction and the use of green solvents. Microbial fermentation with an effective pretreatment (such as hydrothermal treatment and enzymatic treatment) to convert complex waste (pineapple fruit) into simple sugars and later fuel production are also discussed. The proposed review also provides a concise overview of the most recent research and developments in the field of advanced pineapple waste processing technologies.

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    Sustainability
    Article . 2023 . Peer-reviewed
    License: CC BY
    Data sources: Crossref
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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ Sustainabilityarrow_drop_down
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
      Sustainability
      Article . 2023 . Peer-reviewed
      License: CC BY
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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Chakraborty, Partha Sarathi; Tiwari, Arti; Sinha, Pranshu Raj;

    Rapid development of metropolitan cities into smart cities and daily increased in number of vehicles on the roads causes increase in traffic maintenance challenges such as traffic congestion, accidents, dispatching of emergency vehicle and pollution. It will suffers people travel time, delay in response time of emergency vehicle such as ambulance, fire brigade, police etc., causes heavy loss or effects society in terms of wealth, emotions and security. The research work done in the area of Intelligent Transportation Systems and Traffic Management primarily focuses on determining effectively green light duration along with dispatching of emergency vehicle. In this research paper, the authors propose an algorithm which not only determines green light duration dynamically but also handles the emergency vehicle management efficiently. The objectives of the proposed algorithm are minimizing average waiting time. It always analysis the traffic situation at traffic intersection, along with continuous monitoring of emergency vehicle arrival at different lanes causes to optimize the waiting time of vehicle in lanes. It also deals with the deadlock and starvation condition, due to arrival of emergency vehicle in repeated interval of time in traffic intersection. The security level of emergency vehicle is in consideration during dispatching that assigned and verified by authorities to preserve security measures and society values. Here, the source of input on dynamic traffic condition is collected through Wireless Sensor Networks technology.

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ Procedia Computer Sc...arrow_drop_down
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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ Procedia Computer Sc...arrow_drop_down
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: G. Krishna;

    Abstract The study aims to understand the general perception of electric vehicles among consumers and the barriers to their widespread adoption. The study focuses on identifying and understanding the factors involved in their purchase with a wider range of expression using thematic analysis unlike traditional survey techniques. Further, the role of emotions is also considered in the study which is normally overlooked. eWOM is used as data for the study as it is relevant for electric vehicles as people majorly use internet mediums to freely share their thoughts. This method helps in finding all gaps (tangible and intangible) present in the offering (EVs) and expectations of a consumer. This study also provides us with information on relationships amongst these barriers which has a negative cascading effect on overall adoption.

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ Transportation Resea...arrow_drop_down
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
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    Transportation Research Interdisciplinary Perspectives
    Article . 2021 . Peer-reviewed
    License: CC BY NC ND
    Data sources: Crossref
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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ Transportation Resea...arrow_drop_down
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
      Transportation Research Interdisciplinary Perspectives
      Article . 2021 . Peer-reviewed
      License: CC BY NC ND
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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Sumit Gupta; Basai Prathipati; Govind Sharan Dangayach; Posinasetti Nageswara Rao; +1 Authors

    In the current competitive scenario, SMEs need to adopt advanced technology in order to comprehend the dynamics of Industry 4.0 and the sustainable operations for operational excellence. The present study discusses the relationship between Industry 4.0 with sustainable operations and operational excellence. A research model is proposed and assessed through structural equation modelling (SEM). The current research shows that if SMEs adopt Industry 4.0 practices and the use of advanced robotics in order to minimize human intervention, as well as smart logistics that react to changes in production capacity, virtual reality and dynamic simulation techniques, then SMEs can significantly achieve sustainability in manufacturing operations. Furthermore, this study will help companies to attain an operational excellence with greater efficiency and productivity. Therefore, SMEs need to focus on sustainable manufacturing practices.

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ Sustainabilityarrow_drop_down
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    Sustainability
    Other literature type . Article . 2022 . Peer-reviewed
    License: CC BY
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Cranfield CERES
    Article . 2022
    License: CC BY
    Data sources: Cranfield CERES
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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ Sustainabilityarrow_drop_down
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
      Sustainability
      Other literature type . Article . 2022 . Peer-reviewed
      License: CC BY
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
      Cranfield CERES
      Article . 2022
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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Kumar Manupati, Vijaya; Schoenherr, Tobias; Wagner, Stephan M.; Soni, Bhanushree; +2 Authors

    With convalescent plasma being recognized as an eminent treatment option for COVID-19, this paper addresses the location-allocation problem for convalescent plasma bank facilities. This is a critical topic, since limited supply and overtly increasing cases demand a well-established supply chain to flatten the curve. Within this context, we present a novel plasma supply chain model considering stochastic parameters affecting plasma demand and the unique features of the plasma supply chain. The primary objective is to first determine the optimal location of the plasma banks and to then allocate the plasma collection facilities so as to maintain proper plasma flow within the network. In addition, recognizing the perishable nature of plasma, we integrate a deteriorating rate with the objective that as little plasma as possible is lost. We formulate a robust mixed-integer linear programming (MILP) model by considering two conflicting objective functions, namely the minimization of overall plasma transportation time and total plasma supply chain network cost, with the latter also capturing inventory costs to reduce wastage. We then propose a CPLEX-based optimization approach for solving the MILP functions. The feasibility of our results is validated by a comparison study using the Non-Dominated Sorting Genetic Algorithm-II (NSGA-II) and a proposed modified NSGA-III. The application of the proposed model is evaluated by implementing it in a real-world case study within the context of India. The optimized numerical results, together with their sensitivity analysis, provide valuable decision support for policymakers.

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    Transportation Research Part E Logistics and Transportation Review
    Article . 2021 . Peer-reviewed
    License: Elsevier TDM
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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ Transportation Resea...arrow_drop_down
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      Transportation Research Part E Logistics and Transportation Review
      Article . 2021 . Peer-reviewed
      License: Elsevier TDM
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    Authors: Navin K. Dev; Ravi Shankar; Fahham Hasan Qaiser;

    Abstract The present research proposes a roadmap to the excellence of operations for sustainable reverse supply chain/logistics by the joint implementation of principles of Industry 4.0 (I4.0) and ReSOLVE model of circular economy (CE) approaches. The connection between I4.0 and CE is unveiled by addressing the case-based model affecting the economic and environmental performances imparting two important dimensions: (i) the information sharing with the reverse logistics system is in real-time mode, and (ii) diffusion of green product in the market. The effectiveness of the virtual world in I4.0 environment is explored using simulation of reverse logistics model involving operations such as inventory and production planning policy, family-based dispatching rules of remanufacturing, and additive manufacturing. The remanufacturing model examines the trade-off between set-up delays and the availability of green transportation. For managerial insights, Taguchi experimental design framework has been used for the analysis. Based on the trade-off analysis between environmental and economic performances, the findings of the paper suggest appropriate combinations of information-sharing and family-based dispatching rules. Further, the findings suggest that, given the I4.0 and circular capabilities, it is necessary to focus on the cost of the socially influenced operations involving factors such as collection investment and size of the end-user market that governs the product returns. Therefore, in the present paper, the integration of I4.0 and CE represents a real-time decision model for the sustainable reverse logistics system.

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    Resources Conservation and Recycling
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    image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
    Resources Conservation and Recycling
    Article . 2020 . Peer-reviewed
    License: Elsevier TDM
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      Resources Conservation and Recycling
      Article . 2020 . Peer-reviewed
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    Authors: Sun Jian; Yue Chen; Miao Dai; Wanting Zhang; +3 Authors

    the underlying hardware does not change, which can improve network scalability. Although NFV solves the problem of network expansion, deploying service function chains into the underlying network to optimize indicators remains an important research problem that requires consideration of delay, reliability, and power consumption. In this paper, we consider the optimization of power consumption with the premise of guaranteeing a certain virtual function link yield. We propose an efficient algorithm that is based on first-fit and greedy algorithms to solve the problem. The simulation results show that the proposed algorithm substantially improves the path-finding efficiency, achieves a higher request acceptance ratio and reduces power consumption while provisioning the cloud applications. Compared with the baseline algorithm, the service function chain (SFC) acceptance ratio of our proposed algorithms improves by a maximum of approximately 15%, our proposed algorithm reduces the power consumption by a maximum of approximately 15%, the average link load ratio of our proposed algorithm reduces by a maximum of approximately 20%, and the average mapped path length of our proposed algorithm reduces by a maximum of approximately 1.5 hops. With the increasing popularity of the Internet, user requests for cloud applications have dramatically increased. The traditional model of relying on dedicated hardware to implement cloud applications has not kept pace with the rapid growth in demand. Network function virtualization (NFV) architecture emerged at a historic moment. By moving the implementation of functions to software, a separation of functions and hardware was achieved. Therefore, when user demand increases, cloud application providers only need to update the software

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    Sustainability
    Other literature type . Article . 2018 . Peer-reviewed
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      Other literature type . Article . 2018 . Peer-reviewed
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    Authors: Shabir, Faizan; Sultan, Muhammad; Niaz, Yasir; Usman, Muhammad; +5 Authors

    C. The KOH6-PR/ethanol and the WPT-AC/ethanol pairs also give good performances comparable to that of the Maxsorb-III/methanol pair. However, the SAC-2/R32 pair possesses a higher concentration difference than the Maxsorb-III/methanol, KOH6-PR/ethanol and WPT-AC/ethanol pairs but shows a lower performance. This is due to the lower isosteric heat of adsorption of SAC-2/R32 compared to these pairs. It is found that Maxsorb-III/methanol, KOH6-PR/ethanol and WPT-AC/ethanol are the most promising pairs for application in designing adsorption cooling and refrigeration systems. In this study, the ideal adsorption cycle behavior of eight activated carbon and refrigerant pairs is evaluated. The selected pairs are KOH6-PR/ethanol, WPT-AC/ethanol, Maxsorb-III/methanol, Maxsorb-III/CO2, Maxsorb-III/n-butane, Maxsorb-III/R-134a, SAC-2/R32 and Maxsorb-III/R507a. The following cooling performance parameters are evaluated for all pairs: specific cooling energy (SCE), concentration difference (&Delta W) and coefficient of performance (COP) of ideal adsorption cooling and refrigeration cycles. The evaporator temperatures for the applications of adsorption cooling and refrigeration are selected as 7 and &minus C, respectively. It is found that the Maxsorb-III/methanol pair has shown the highest specific cooling energy and coefficient of performance in a wide range of desorption temperatures i.e., for the adsorption cooling cycle it has SCE and COP of 639.83 kJ/kg and 0.803, respectively, with desorption temperatures of 80 ° 5 °

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    TUHH Open Research
    Article . 2020
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      TUHH Open Research
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    Authors: Sayed Abdul Majid Gilani; Abigail Copiaco; Liza Gernal; Naveed Yasin; +2 Authors

    Machine learning (ML) has seen a substantial increase in its role in improving operations for staff and customers in different industries. However, there appears to be a somewhat limited adoption of ML by farm businesses, highlighted by a review of the literature investigating innovative behaviors by rural businesses. A review of the literature identified a dearth of studies investigating ML adoption by farm businesses in rural regions of the United Arab Emirates (UAE), especially in the context of family-owned farms. Therefore, this paper aims to investigate the drivers and barriers to ML adoption by family/non-family-owned farms in rural UAE. The key research questions are (1) what are the drivers and barriers for rural UAE farms adopting ML? As well as (2) is there a difference in the drivers and barriers between family and non-family-owned farms? Twenty semi-structured interviews were conducted with farm businesses across several rural regions in the UAE. Then, through a Template Analysis (TA), drivers and barriers for rural UAE-based farm owners adopting ML were identified. Interview findings highlighted that farms could benefit from adopting ML in daily operations to save costs and improve efficiency. However, 16 of 20 farms were unaware of the benefits related to ML due to access issues (highlighted by 12 farms) in incorporating ML operations, where they felt that incorporating ML into their operations was costly (identified by 8 farms). It was also identified that non-family-owned farms were more likely to take up ML, which was attributed to local culture influencing family farms (11 farms identified culture as a barrier). This study makes a theoretical contribution by proposing the Machine Learning Adoption Framework (MLAF). In terms of practical implications, this study proposes an ML program specifically targeting the needs of farm owners in rural UAE. Policy-based implications are addressed by the findings aligning with the United Nations’ Sustainability Development Goals 9 (Industry, Innovation, and Infrastructure) and 11 (Sustainable Cities and Communities).

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    Sustainability
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    Authors: Yinyin Wang; Lokeshkumar Kumar; Vijayanandh Raja; Hussein A. Z. AL-bonsrulah; +4 Authors

    At present, surveillance is attracting attention in the field of UAV development. In particular, border surveillance plays a vital role in obtaining the required data around the border and for assisting in military operations. The primary function of this Hybrid UAV (VTOL and Fixed Wing) is to provide prerequisite data, captured during day/night surveillance, to the respective database. One of the primary problems that arise in border patrolling is the use of the UAV under different environmental conditions, thereby reducing its endurance firmly. In addition to the surveillance equipment, energy harvesting techniques are involved in solving the problem of endurance. The piezoelectric energy harvester and solar panels are added to harvest electrical energy in the UAV. Based on this application, the conceptual design of the Hybrid UAV, based on nature, was designed and investigated theoretically, as well as computationally. A series of analysis, which includes Computational Fluid Dynamics, Finite Element Analysis and Analytical approach, was used to determine the energy harvested from the energy harvester. This work confirms the proposed integrated engineering approach for the estimation of renewable energy, via PVEH patches, and the same approach is thus offered to researchers for subsequent applications. Additionally, a hybrid energy idea for newly developed drones was proposed in this work. This concept will be extensively used in the unmanned aircraft system sectors.

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    Authors: Prakash Kumar Sarangi; Akhilesh Kumar Singh; Rajesh Kumar Srivastava; Vijai Kumar Gupta;

    Worldwide, a huge production of agro-industrial wastes is observed every year in the milling, brewing, agricultural, and food industries. Biochemical and bioactive substances can be produced from these agricultural wastes. Pineapple by-products, which consist of the peeled skin, core, crown end, etc., account for 60% of the weight of pineapple fruit and are disposed of as waste, causing disposal and pollution problems. The bioconversion process can utilize these wastes, which are rich in cellulose and hemicellulose, the main components, to produce value-added biochemicals/bioactive compounds such as pectin, citric acid, bromelain, ferulic acid, vanillin, and so on. Therefore, the sustainable solution for food and nutrition security can be supported by the utilization of pineapple waste. The proposed review article addresses approaches that do not generate waste while adding value. This can be achieved by using innovative biorefinery techniques such as green extraction and the use of green solvents. Microbial fermentation with an effective pretreatment (such as hydrothermal treatment and enzymatic treatment) to convert complex waste (pineapple fruit) into simple sugars and later fuel production are also discussed. The proposed review also provides a concise overview of the most recent research and developments in the field of advanced pineapple waste processing technologies.

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    Sustainability
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    Authors: Chakraborty, Partha Sarathi; Tiwari, Arti; Sinha, Pranshu Raj;

    Rapid development of metropolitan cities into smart cities and daily increased in number of vehicles on the roads causes increase in traffic maintenance challenges such as traffic congestion, accidents, dispatching of emergency vehicle and pollution. It will suffers people travel time, delay in response time of emergency vehicle such as ambulance, fire brigade, police etc., causes heavy loss or effects society in terms of wealth, emotions and security. The research work done in the area of Intelligent Transportation Systems and Traffic Management primarily focuses on determining effectively green light duration along with dispatching of emergency vehicle. In this research paper, the authors propose an algorithm which not only determines green light duration dynamically but also handles the emergency vehicle management efficiently. The objectives of the proposed algorithm are minimizing average waiting time. It always analysis the traffic situation at traffic intersection, along with continuous monitoring of emergency vehicle arrival at different lanes causes to optimize the waiting time of vehicle in lanes. It also deals with the deadlock and starvation condition, due to arrival of emergency vehicle in repeated interval of time in traffic intersection. The security level of emergency vehicle is in consideration during dispatching that assigned and verified by authorities to preserve security measures and society values. Here, the source of input on dynamic traffic condition is collected through Wireless Sensor Networks technology.

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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: G. Krishna;

    Abstract The study aims to understand the general perception of electric vehicles among consumers and the barriers to their widespread adoption. The study focuses on identifying and understanding the factors involved in their purchase with a wider range of expression using thematic analysis unlike traditional survey techniques. Further, the role of emotions is also considered in the study which is normally overlooked. eWOM is used as data for the study as it is relevant for electric vehicles as people majorly use internet mediums to freely share their thoughts. This method helps in finding all gaps (tangible and intangible) present in the offering (EVs) and expectations of a consumer. This study also provides us with information on relationships amongst these barriers which has a negative cascading effect on overall adoption.

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ Transportation Resea...arrow_drop_down
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Transportation Research Interdisciplinary Perspectives
    Article . 2021 . Peer-reviewed
    License: CC BY NC ND
    Data sources: Crossref
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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ Transportation Resea...arrow_drop_down
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
      Transportation Research Interdisciplinary Perspectives
      Article . 2021 . Peer-reviewed
      License: CC BY NC ND
      Data sources: Crossref
      addClaim

      This Research product is the result of merged Research products in OpenAIRE.

      You have already added works in your ORCID record related to the merged Research product.