5,018 research outputs found

    A New Layered Architecture for Future Big Data-driven Smart Homes

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    The Application of Industry 4.0 Technologies in Sustainable Logistics: A Systematic Literature Review (2012-2020) to Explore Future Research Opportunities

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    Nowadays, the market competition becomes increasingly fierce due to diversified customer needs, stringent environmental requirements, and global competitors. One of the most important factors for companies to not only survive but also thrive in today’s competitive market is their logistics performance. This paper aims, through a systematic literature analysis of 115 papers from 2012 to 2020, at presenting quantitative insights and comprehensive overviews of the current and future research landscapes of sustainable logistics in the Industry 4.0 era. The results show that Industry 4.0 technologies provide opportunities for improving the economic efficiency, environmental performance, and social impact of logistics sectors. However, several challenges arise with this technological transformation, i.e., trade-offs among different sustainability indicators, unclear benefits, lifecycle environmental impact, inequity issues, and technology maturity. Thus, to better tackle the current research gaps, future suggestions are given to focus on the balance among different sustainability indicators through the entire lifecycle, human-centric technological transformation, system integration and digital twin, semi-autonomous transportation solutions, smart reverse logistics, and so forth

    Challenges and opportunities of introducing Internet of Things and Artificial Intelligence applications into Supply Chain Management

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    The study examines the challenges and opportunities of introducing Artificial Intelligence (AI) and the Internet of Things (IoT) into the Supply Chain Management (SCM). This research focuses on the Logistic Management. The central research question is “What are the key challenges and opportunities of introducing AI and IoT applications into the Supply Chain Management?” The goal of this research is to collect the most appropriate literature to help create a conceptual framework, which involves the integration of the IoT and AI applications into contemporary supply chain management with the emphasis on the logistics management. Additionally, the role of 5G Network is closely studied in order to indicate its capabilities and the processing capacity that it can provide to the AI and IoT operations. In addition, the semi-structured online interview with the top managers from several companies was conducted in order to identify the degree of readiness of the companies for the AI and IoT applications in SCM. From the retrieved results, the major challenges of integrating the IoT into SCM are the security and privacy issues, the sensitivity of the data and high costs of the implementation at an initial stage. Moreover, the research results have shown that the IoT applications can positively affect the SCM activities, in particular, the high visibility across the SC, an effective traceability and an automated data collection. Furthermore, the predictive analysis of AI programs can help the SCM to eliminate the potential errors and failures in the processes.fi=Opinnäytetyö kokotekstinä PDF-muodossa.|en=Thesis fulltext in PDF format.|sv=Lärdomsprov tillgängligt som fulltext i PDF-format

    Big Data Security (Volume 3)

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    After a short description of the key concepts of big data the book explores on the secrecy and security threats posed especially by cloud based data storage. It delivers conceptual frameworks and models along with case studies of recent technology

    Adjoining Internet of Things with Data Mining : A Survey

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    The Interactive Data Corporative (IDC) conjectures that by 2025 the worldwide data circle will develop to 163ZB (that is a trillion gigabytes) which is ten times the 16.1ZB of information produced in 2016. The Internet of Things is one of the hot topics of this living century and researchers are heading for mass adoption 2019 driven by better than-expected business results. This information will open one of a kind of user experience and another universe of business opening. The huge information produced by the Internet of Things (IoT) are considered of high business esteem, and information mining calculations can be connected to IoT to extract hidden data from information. This paper concisely discusses the work done in sequential manner of time in different fields of IOT along with its outcome and research gap. This paper also discusses the various aspects of data mining functionalities with IOT. The recommendation for the Challenges in IOT that can be adopted for betterment is given. Finally, this paper presents the vision for how IOT will have impact on changing the distant futur

    New Trends in Development of Services in the Modern Economy

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    The services sector strategic development unites a multitude of economic and managerial aspects and is one of the most important problems of economic management. Many researches devoted to this industry study are available. Most of them are performed in the traditional aspect of the voluminous calendar approach to strategic management, characteristic of the national scientific school. Such an approach seems archaic, forming false strategic benchmarks. The services sector is of special scientific interest in this context due to the fact that the social production structure to the services development model attraction in many countries suggests transition to postindustrial economy type where the services sector is a system-supporting sector of the economy. Actively influencing the economy, the services sector in the developed countries dominates in the GDP formation, primary capital accumulation, labor, households final consumption and, finally, citizens comfort of living. However, a clear understanding of the services sector as a hyper-sector permeating all spheres of human activity has not yet been fully developed, although interest in this issue continues to grow among many authors. Target of strategic management of the industry development setting requires substantive content and the services sector target value assessment

    Warehouse monitoring, data logging and interface implementation based on internet of things application

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    Mestrado em ESTG-IPBDue to the high demand for wood around the world, wood warehouses are becoming increasingly popular. As a result, the large amount of stored wood requires special attention to maintain its quality, as well as, the protection of wood warehouses, which can now be accomplished thanks to the Internet of Things platforms and applications, therefore, this project aims to develop a system capable of real-time monitoring of the wood warehouse, based on the ATMEGA328P microcontroller, LoRa technology for data transmission, as well as, flame, gas, humidity, and temperature sensors, in order to prevent any disaster that could affect the warehouse operators, as well as, it can due to a significant losses of stored wood and its quality, Finally, to preserve the environment from the fire ignitions.Devido à grande procura de madeira em todo o mundo, os armazéns de madeira estão a tornar-se cada vez mais populares. Como resultado, a grande quantidade de madeira armazenada requer uma atenção especial para manter a sua qualidade, bem como a protecção dos armazéns de madeira, o que agora pode ser conseguido graças às plataformas e aplicações da Internet das Coisas, portanto, Este projecto visa desenvolver um sistema capaz de monitorização em tempo real do armazém de madeira, baseado no microcontrolador ATMEGA328P, tecnologia LoRa para transmissão de dados, bem como sensores de chama, gás, humidade e temperatura, a fim de evitar qualquer catástrofe que possa afectar os operadores do armazém, bem como perdas significativas de madeira armazenada e da sua qualidade, finalmente, para preservar o ambiente do risco de incêndio
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