Relevant bibliographies by topics / IoT Demand

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'IoT Demand'

Author: Grafiati
Published: 5 June 2025
Last updated: 2 August 2025

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Journal articles on the topic "IoT Demand"

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Balakrishna, Gubba, and Nageswara Rao Moparthi. "ESBL: Design and Implement A Cloud Integrated Framework for IoT Load Balancing." International Journal of Computers Communications & Control 14, no. 4 (2019): 459–74. http://dx.doi.org/10.15837/ijccc.2019.4.3491.

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The continuous growth in wireless communication, the demand for sophisticated, simple and low-cost solutions are also increasing. The demand motivated the researchers to indulge into inventing suitable network solutions ranging from wireless sensor networks to wireless ad-hoc networks to Internet of Things (IoT). With the inventions coming from the researchers, the demand for further improvements into the existing researchers have also growth upbound. Initially the network protocols were the demand for research and further improvements. Nevertheless, the IoT devices are started getting used in
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Nawi, Mohd Nasrun Mohd, Tamil Selvi, Peddinti Neeraja, Rama Krishna Yellapragada, and Himani Jain. "An IoT Assimilated Distributed Control Method for Green Electrical Transmission Grids." WSEAS TRANSACTIONS ON POWER SYSTEMS 18 (December 31, 2023): 321–29. http://dx.doi.org/10.37394/232016.2023.18.33.

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Green electrical grids utilize renewable energy to ensure sustainable transmission from natural resources. Internet of Things (IoT) like pervasive platforms is integrated with the grids for improving the automation in such power grids. This article considers the IoT control over the green grids for uninterrupted power transmission. The proposed method named Assimilated Distributed Control (ADC) balances the generated and distribution of electrical power based on demand. The IoT paradigm monitors the rising demand for recommending multi-renewable power source assimilation for meeting the distri
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Rup, Clément, and Eddy Bajic. "Green and Sustainable Industrial Internet of Things Systems Leveraging Wake-Up Radio to Enable On-Demand IoT Communication." Sustainability 16, no. 3 (2024): 1160. http://dx.doi.org/10.3390/su16031160.

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The industrial Internet of things (IIoT) is a major lever in Industry 4.0 development, where reducing the carbon footprint and energy consumption has become crucial for modern companies. Today’s IIoT device infrastructure wastes large amounts of energy on wireless communication, limiting device lifetime and increasing power consumption and battery requirements. Communication capabilities seriously affect the responsiveness and availability of autonomous IoT devices when collecting data and retrieving commands to/from higher-level applications. Thus, the objective of optimizing communication re
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Gulhane, Vijay, and Sagar Padiya. "Analysis of Demand, Architecture and Challenges of the Internet of Things." International Journal of Ingenious Research, Invention and Development 1, no. 1 (2022): 6. https://doi.org/10.5281/zenodo.7424781.

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The Internet of things involves sensor-configured devices, processing units, and various technologies to connect and exchange data between devices. IoT involves many tools and technologies that can provide the facility to interact with each other. The IoT with such advanced devices, tools and technologies help the advancement of current society. This paper includes the basic concepts of IoT, market demand analysis, four foundational pillars of IoT, and the architecture of IoT.
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Nguyen, Chau, and Doan Hoang. "S-MANAGE Protocol for Provisioning IoT Applications on Demand." Journal of Telecommunications and the Digital Economy 7, no. 3 (2019): 37–57. https://doi.org/10.18080/jtde.v7n3.185.

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Internet of Things (IoT)-based services have started making an impact in various domains, such as agriculture, smart farming, smart cities, personal health, and critical infrastructures. Sensor/IoT devices have become one of the indispensable elements in these IoT systems and services. However, their development is restricted by the rigidity of the current network infrastructure, which accommodates heterogeneous physical devices. Software-Defined Networking-Network Functions Virtualization (SDN-NFV) has emerged as a service-enabling solution, supporting network and network function programmabi
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Jaramillo-Ramirez, Daniel, and Manuel Perez. "Spectrum Demand Forecasting for IoT Services." Future Internet 13, no. 9 (2021): 232. http://dx.doi.org/10.3390/fi13090232.

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The evolution of IoT has come with the challenge of connecting not only a massive number of devices, but also providing an always wider variety of services. In the next few years, a big increase in the number of connected devices is expected, together with an important increase in the amount of traffic generated. Never before have wireless communications permeated so deeply in all industries and economic sectors. Therefore, it is crucial to correctly forecast the spectrum needs, which bands should be used for which services, and the economic potential of its utilization. This paper proposes a
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Zhang, Jingbin, Meng Ma, Wei He, and Ping Wang. "On-demand deployment for IoT applications." Journal of Systems Architecture 111 (December 2020): 101794. http://dx.doi.org/10.1016/j.sysarc.2020.101794.

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Nguyen, Chau Thi Minh, and Doan B. Hoang. "Large-Scale Software-Defined IoT Platform for Provisioning IoT Services on Demand." International Journal of Smart Sensor Technologies and Applications 1, no. 1 (2020): 1–23. http://dx.doi.org/10.4018/ijssta.20200101.oa1.

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Internet of things (IoT) has developed into an interconnected platform infrastructure for providing everyday services. Emerging end-to-end IoT services are being developed for local and multiple distributed regions. To realize the on-demand services in a timely and economically beneficial way, programmability and reusability are crucial for provisioning and reusing IoT resources. Existing IoT platforms are rigid and cannot be easily adapted to accommodate new services. This paper proposes a programmable large-scale software-defined IoT model for provisioning IoT services on demand with two lev
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Liu, Xi, Xi Fu Wang, and Xue Feng. "Study and Application of the IOT Technology in Railway." Advanced Materials Research 694-697 (May 2013): 3329–32. http://dx.doi.org/10.4028/www.scientific.net/amr.694-697.3329.

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Internet of Things (IOT) has the advantages of thorough perception, comprehensive connection and deep intelligent application etc., which provide support for the informational and intelligent development in railway. Oriented to the demand of IOT in railway, this paper focuses on the combination of railway and IOT technology. Based on the analysis of IOT technology and railway business demands, this paper establishes a framework of its technical applications in railway, and comes up the application frameworks in railway transport and dispatching, management of capacity resource, passenger and f
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Kotaiah, Dharavath, and Chitti Ravi Kiran. "Network Security Key Areas of IoT and IIOT- with Connected Devices Privacy and Security." International Journal for Research in Applied Science and Engineering Technology 11, no. 3 (2023): 2076–82. http://dx.doi.org/10.22214/ijraset.2023.49873.

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Abstract: With the accelerating pace of technological advancement, demand for IoT app development is at an all-time high. Statistic predicts that $1.1 trillion will be spent globally on IoT. (approx.).Modern IoT apps and solutions will unquestionably become more popular as a result of this. Who will get the newest item into consumers' hands first among manufacturers is still a point of contention. Companies can profit much from IoT app development, but one of the key considerations is security. This post focused on IoT security issues and solutions. IoT solutions can be implemented by business
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Dissertations / Theses on the topic "IoT Demand"

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Xia, Chunqiu. "Energy Demand Response Management in Smart Home Environments." Thesis, The University of Sydney, 2018. http://hdl.handle.net/2123/20182.

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ENABLING DEMAND RESPONSE ON ENERGY MANAGEMENT IN SMART HOME With the penetration of the Internet of Things (IoT) paradigm into the household scenario, an increasing number of smart appliances have been deployed to improve the comfort of living in the household. At present, most smart home devices are adopting the Cloud-based paradigm. The increasing electricity overhead from these smart appliances, however, has caused issues, as existing home energy management systems are unable to reduce electricity consumption effectively. To address this issue, we propose the use of an Edge-based computing
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Fredriksson, Tony, and Niklas Ljungberg. "Security in low power wireless networks : Evaluating and mitigating routing attacks in a reactive, on demand ad-hoc routing protocol." Thesis, Linköpings universitet, Institutionen för datavetenskap, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-145362.

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Using low energy devices to communicate over the air presents many challenges to reach security as resources in the world of Internet Of Things (IoT) are limited. Any extra overhead of computing or radio transmissions that extra security might add affects cost of both increased computing time and energy consumption which are all scarce resources in IoT. This thesis details the current state of security mechanisms built into the commercially available protocol stacks Zigbee, Z-wave, and Bluetooth Low Energy, and collects implemented and proposed solutions to common ways of attacking systems bui
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Soni, Vivek. "System modeling for security and sustainability in Indian energy sector: select issues." Thesis, IIT Delhi, 2016. http://localhost:8080/iit/handle/2074/7110.

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Börjesson, Maria. "Issues in Urban Travel Demand Modelling : ICT Implications and Trip timing choice." Doctoral thesis, KTH, Transporter och samhällsekonomi, 2006. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-4092.

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Travel demand forecasting is essential for many decisions, such as infrastructure investments and policy measures. Traditionally travel demand modelling has considered trip frequency, mode, destination and route choice. This thesis considers two other choice dimensions, hypothesised to have implications for travel demand forecasting. The first part investigates how the increased possibilities to overcome space that ICT (information and communication technology) provides, can be integrated in travel demand forecasting models. We find that possibilities of modelling substitution effects are limi
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Börjesson, Maria. "Issues in urban travel demand modelling : ICT implications and trip timing choice /." Stockholm : Division for Transport and Location Analysis, Royal Institute of Technology, 2006. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-4092.

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Åhlén, Nyström Linnéa. "I GRÄNSLANDET : Förmåga att dra gränser mellan arbete och fritid till följd av informations- och kommunikationsteknikens krav." Thesis, Umeå universitet, Institutionen för psykologi, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-163943.

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Den teknologiska utvecklingen har bidragit till att arbete kan utföras under mer flexiblaformer. Syftet med studien var därför att undersöka om skillnader i upplevelsen avinformations och kommunikationsteknikens krav (IKT-krav) påverkade möjligheterna att dragränser mellan arbete och fritid. Metoden för datainsamling var kvantitativ och 31enhetschefer erbjöds möjlighet att delta i studien genom att besvara en webbenkät.Svarsfrekvensen uppgick till 58 % (N = 18). Studiens huvudresultat visade på signifikantaskillnader i förhållande till mental distansering från arbetet, där de som upplevde låga
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Morris, Kristy, and n/a. "Optimisation of the Biocatalytic Component in a Ferricyanide Mediated Approach to Rapid Biochemical Oxygen Demand Analysis." Griffith University. School of Environmental and Applied Science, 2005. http://www4.gu.edu.au:8080/adt-root/public/adt-QGU20060906.121244.

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A novel rapid method for the determination of biochemical oxygen demand (BOD) has been developed. By replacing oxygen, the terminal electron acceptor in the microbial oxidation of organic substrate, with the ferricyanide ion, a significant increase in the rate of the biochemical reaction could be achieved. This arises from the high solubility of the ferricyanide ion (compared to oxygen); therefore allowing for elevated microbial populations without rapid depletion of the electron acceptor. Therefore, the BOD of a sample can be determined within 1-3 hours compared to 5-days with the standard BO
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Morris, Kristy. "Optimisation of the biocatalytic component in a ferricyanide mediated approach to rapid biochemical oxygen demand analysis." Thesis, Griffith University, 2005. http://hdl.handle.net/10072/367552.

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A novel rapid method for the determination of biochemical oxygen demand (BOD) has been developed. By replacing oxygen, the terminal electron acceptor in the microbial oxidation of organic substrate, with the ferricyanide ion, a significant increase in the rate of the biochemical reaction could be achieved. This arises from the high solubility of the ferricyanide ion (compared to oxygen); therefore allowing for elevated microbial populations without rapid depletion of the electron acceptor. Therefore, the BOD of a sample can be determined within 1-3 hours compared to 5-days with the standard BO
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Jurica, Martin. "SaaS ve firemním ICT - důsledky, změny, příležitosti." Master's thesis, Vysoká škola ekonomická v Praze, 2011. http://www.nusl.cz/ntk/nusl-72606.

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This thesis is focused on analyzing the current state of SaaS (Software as a Service) and impact of SaaS on corporate's ICT as a whole. The aim is to explain the concepts and implications of modern forms of providing services, to describe and to evaluate their benefits and risks and to assess future developments in this area. The attention will be paid on specifics of the environment of Czech companies. The first part of this work deals with the current SaaS solutions and related technologies. Emphasis is placed on acquainting the reader with currently available (or introduced by mid-2011) tec
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Llorens, Gumbau Susana. "Burnout and Engagement among Information and Communication Technology Users: a test of the Job demands-resources model / Burnout y Engagement en Usuarios de Tecnología de la Información y Comunicación: Validación del Modelo de Demandas-Recursos." Doctoral thesis, Universitat Jaume I, 2004. http://hdl.handle.net/10803/10525.

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El objetivo de esta tesis es poner a prueba una ampliación del modelo de Demandas-Recursos en usuarios de Tecnología de la Información y la Comunicación (TIC), integrando tanto las aproximaciones negativas (burnout) como positivas (engagement) del bienestar psicológico de los empleados y una consecuencia organizacional: el compromiso. Para conseguir este objetivo se han seguido una serie de pasos. En primer lugar, y para realizar una validación transcultural, este modelo se ha puesto a prueba simultáneamente con empleados que utilizan tecnologías pertenecientes a dos países Europeos: España y
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Books on the topic "IoT Demand"

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Keyser, Matt. Development of a novel test method for on-demand internal short circuit in a li-ion cell. National Renewable Energy Laboratory, 2011.

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Africa, Research ICT, and International Development Research Centre (Canada), eds. Understanding what is happening in ICT in Ghana: A supply- and demand-side analysis of the ICT sector. Research ICT Africa, 2012.

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Politis, Anastasios E. ICT practitioner skills and training: Graphic arts and media sector. Office for Official Publications of the European Communities, 2004.

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Misra, H. K. ICT initiatives for sustainable livelihood security: A demand-driven rural e-governance framework for scale-up. Institute of Rural Management Anand, 2006.

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Landerretche, Oscar. Planeación del subsector vivienda popular: El caso de la demanda por vivienda del ICT, 1983-1986. Centro de Estudios sobre Desarrollo Económico, Universidad de los Andes, Facultad de Economía, 1986.

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Brambilla, Irene, and Darío Tortarolo. Investment in ICT, Productivity, and Labor Demand: The Case of Argentina. World Bank, Washington, DC, 2018. http://dx.doi.org/10.1596/1813-9450-8325.

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Hause, Jeffrey. Merciful Demand. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198827030.003.0005.

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In the late twelfth and early thirteenth century, increasingly sophisticated ethical thought made its way out of the theology texts and into pastoral guides and sermons, making it possible for a greater number of ethically informed lay people to share pastoral responsibility. One exercise of this responsibility was fraternal correction, through which a person, motivated by charity, rebukes a neighbor for his or her wrongdoing. This essay argues that the practice of fraternal correction is in fact a sort of blaming, since it includes a judgment of blameworthiness and opprobrium for the offender
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Gilbert, Margaret. Demand-Rights—and the Demand-Right Problem. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198813767.003.0005.

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Starting with some important remarks of Hohfeld’s on legal claims, this chapter introduces and focuses on rights of the kind accrued by the parties to informal agreements, among others, which it labels “demand-rights.” One with a demand-right has, centrally, the standing to demand an action from the right’s addressee. This point is clarified as, among other things, demands are distinguished from requests and commands. H. L. A. Hart’s discussion of a promisee’s rights is reviewed, and demand-rights are further characterized by means of a series of equivalences of Hohfeld’s type. Some possible f
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Løgstrup, K. E., Bjørn Rabjerg, and Robert Stern. The Ethical Demand. Oxford University Press, 2020. http://dx.doi.org/10.1093/oso/9780198855989.001.0001.

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This book concerns the nature and basis for the fundamental ethical relation between human beings. Beginning from the fundamental example of trust, it is argued that this relation arises from our interdependence and mutual vulnerability, which then gives us power over the lives of other people. It claimed that in this situation, there arises a demand to care for the other person. This demand is characterized as silent, radical, one-sided, and unfulfillable, as it cannot be satisfied by just doing what the other asks; requires us to act unselfishly; is non-reciprocal; and should not be experien
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Middleton, Kathy L. Yes! on Demand. ABC-CLIO, LLC, 2016. http://dx.doi.org/10.5040/9798216039921.

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Borrowing winning techniques from the business world, this book examines ways you can make library service more personalized, focused, and solutions-oriented for your patrons. When it comes to delivering the quality, personalized service your patrons expect, the staff is the most important resource in the library. It only follows then, that by empowering staff, breaking and fixing rules, cultivating creativity, and focusing on results, your library can meet and exceed patron expectations. To help you accomplish that and more, this book presents the "yes" model for customer service and explains
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Book chapters on the topic "IoT Demand"

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Javed, Adeel. "IoT Patterns: On-Demand Clients." In Building Arduino Projects for the Internet of Things. Apress, 2016. http://dx.doi.org/10.1007/978-1-4842-1940-9_7.

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Kliem, Andreas, and Thomas Renner. "Towards On-Demand Resource Provisioning for IoT Environments." In Intelligent Information and Database Systems. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-15705-4_47.

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Kirkham, Tom, Arnab Sinha, Nikos Parlavantzas, et al. "Privacy Aware on-Demand Resource Provisioning for IoT Data Processing." In Internet of Things. IoT Infrastructures. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-47075-7_11.

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Rajapriya, R., Varun Gopalakrishnan, Milind Shrinivas Dangate, and Nasrin I. Shaikh. "Energy Demand and Flexibility of Energy Supply." In IoT and Analytics in Renewable Energy Systems (Volume 2). CRC Press, 2023. http://dx.doi.org/10.1201/9781003374121-14.

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Raju, Leo, S. Sangeetha, and V. Balaji. "IOT Based Demand Side Management of a Micro-grid." In Lecture Notes on Data Engineering and Communications Technologies. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-24643-3_40.

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Grover, Dr Veena, Purnima Pal, Vidhi Bishnoi, and Dr Nassir Ul Haq Wani. "Artificial Intelligence Applications for Demand Forecasting and Optimization." In Blockchain, IoT, and AI Technologies for Supply Chain Management. Apress, 2024. http://dx.doi.org/10.1007/979-8-8688-0315-4_4.

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Hettiarachchi, Aroshana, and Shama Naz Islam. "IoT-enabled smart street light control for demand response applications." In Emerging Real-World Applications of Internet of Things. CRC Press, 2022. http://dx.doi.org/10.1201/9781003304203-9.

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Bahroun, Zied, Mohamed Ben-Daya, and Elkafi Hassini. "IoT Quality-Controlled Demand Pricing Model in Food Supply Chains." In Smart and Sustainable Supply Chain and Logistics – Trends, Challenges, Methods and Best Practices. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-61947-3_26.

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Kulkarni, Sonali N., and Prashant Shingare. "Decision Support System for Smart Grid Using Demand Forecasting Models." In Smart Network Inspired Paradigm and Approaches in IoT Applications. Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-8614-5_4.

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Ahmed, Rowanda, Mansoor Abdulhak, and Mohammed S. Hassan. "On-Demand Model and Smart Contract Design for Monetizing IoT Data." In Lecture Notes in Networks and Systems. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-25274-7_49.

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Conference papers on the topic "IoT Demand"

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Deepthisre, G., M. Malarvizhi, B. Saravanaprabhu, and V. Santhossh. "IoT Based Demand Side Management System." In 2024 10th International Conference on Advanced Computing and Communication Systems (ICACCS). IEEE, 2024. http://dx.doi.org/10.1109/icaccs60874.2024.10716914.

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Zhang, Junying, Qinghe Du, Yijing Ren, et al. "Task Demand Oriented Lite Edge Communications for IoT." In 2024 IEEE 99th Vehicular Technology Conference (VTC2024-Spring). IEEE, 2024. http://dx.doi.org/10.1109/vtc2024-spring62846.2024.10683473.

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Athar, Muhammad, Bin Li, Zaid Bin Tariq Baig, Ali Muqtadir, Shiming Tian, and Songsong Chen. "IOT and Blockchain: Transforming Demand Response in Smart Grids." In 2024 Horizons of Information Technology and Engineering (HITE). IEEE, 2024. https://doi.org/10.1109/hite63532.2024.10777197.

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Naik, R. Sai Kiran, and T. Devaraju. "Smart Grid Optimization through IoT-Driven Demand-Side Management." In 2024 10th International Conference on Electrical Energy Systems (ICEES). IEEE, 2024. https://doi.org/10.1109/icees61253.2024.10776861.

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Islam, Muzahidul, Nohori Jobaida, Md Shakhawat Hossain, Mohammad Rejwan Uddin, and Mahady Hasan. "IoT-Based Smart Energy Monitoring and Energy Demand Response System." In 2024 IEEE 3rd International Conference on Electrical Power and Energy Systems (ICEPES). IEEE, 2024. http://dx.doi.org/10.1109/icepes60647.2024.10653605.

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Raiker, Gautam Anil, Vasundhara V. Baligar, Deepti Lakshmi Ravi, and Subba Reddy B. "Demand Response Platform with IoT and NILM for Household Energy Management." In 2024 IEEE PES Innovative Smart Grid Technologies - Asia (ISGT Asia). IEEE, 2024. https://doi.org/10.1109/isgtasia61245.2024.10876265.

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Ankam, Sreejyothsna, G. Durgadevi, Rakesh Kumar, Bathula Mounika, Zaid Alsalami, and Niranjanamurthy M. "Applying Multi-Layer Perceptrons (MLP) for Demand Forecasting in Supply Chain Management." In 2024 International Conference on IoT, Communication and Automation Technology (ICICAT). IEEE, 2024. https://doi.org/10.1109/icicat62666.2024.10923469.

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R C, Jeni Gracia, and Lakshmi Kantan Narayanan. "Deep Learning Approaches for Forecasting Water Demand in IoT-Based Water Systems." In 2024 IEEE 16th International Conference on Computational Intelligence and Communication Networks (CICN). IEEE, 2024. https://doi.org/10.1109/cicn63059.2024.10847339.

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Jain, Nikhil, Bhawana Pillai, and Neelu Singh. "Green IoT-Based Smart Grid: Implementing Intelligent Demand-Response Systems for Energy Sustainability." In 2025 2nd International Conference on Research Methodologies in Knowledge Management, Artificial Intelligence and Telecommunication Engineering (RMKMATE). IEEE, 2025. https://doi.org/10.1109/rmkmate64874.2025.11042574.

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Li, Hongyan. "Demand Forecast of Cold Chain Logistics of Fresh Agricultural Products Based on Deep Learning." In 2024 International Conference on Industrial IoT, Big Data and Supply Chain (IIoTBDSC). IEEE, 2024. https://doi.org/10.1109/iiotbdsc64371.2024.00060.

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Reports on the topic "IoT Demand"

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Phillips, Paul. The Application of Satellite-based Internet of Things for New Mobility. SAE International, 2024. http://dx.doi.org/10.4271/epr2024001.

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<div class="section abstract"><div class="htmlview paragraph">With the increased use of devices requiring the Internet of Things (IoT) to enable “New Mobility,” the demand for satellite-enabled IoT is growing steadily, owing to the extensive coverage provided by satellites (over existing ground-based infrastructure). Satellite-based IoT provides precise and real-time vehicle location and tracking services, large-scale geographical vehicle and/or infrastructure monitoring, and increased coverage for remote locations where it may not be possible to install ground-based solutions.<
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Igumenov, Aleksandr, and Jevgenijus Marinuškinas. Block Programming vs Codding: The Benefits and Drawbacks. Vilnius Business College, 2024. http://dx.doi.org/10.57005/ab.2024.1.6.

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The demand for creating diverse programs is increasingly prominent in the computer market and the flourishing realm of mobile devices. Furthermore, mobile phones have become essential work tools and are extensively used in various activities, including work, entertainment, education, IoT. Consequently, there is a growing need for modern, versatile, and efficient tools to facilitate the creation of such programs. Presently, this issue is particularly relevant as the development of these programs primarily relies on programmers with specialized education and experience who possess the requisite
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Pasupuleti, Murali Krishna. Neuromorphic Nanotech: 2D Materials for Energy-Efficient Edge Computing. National Education Services, 2025. https://doi.org/10.62311/nesx/rr325.

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Abstract The demand for energy-efficient, real-time computing is driving the evolution of neuromorphic computing and edge AI systems. Traditional silicon-based processors struggle with power inefficiencies, memory bottlenecks, and scalability limitations, making them unsuitable for next-generation low-power AI applications. This research report explores how 2D materials, such as graphene, transition metal dichalcogenides (TMDs), black phosphorus, and MXenes, are enabling the development of neuromorphic architectures that mimic biological neural networks for high-speed, ultra-low-power computat
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Carpenter, Marie, and William Lazonick. The Pursuit of Shareholder Value: Cisco’s Transformation from Innovation to Financialization. Institute for New Economic Thinking Working Paper Series, 2023. http://dx.doi.org/10.36687/inetwp202.

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Once the global leader in telecommunication systems and the Internet, over the past two decades the United States has fallen behind global competitors, and in particular China, in mobile communication infrastructure—specifically 5G and Internet of Things (IoT). This national failure, with the socioeconomic and geopolitical tensions that it creates, is not due to a lack of US government investment in the knowledge required for the mobility revolution. Nor is it because of a dearth of domestic demand for the equipment, devices, and applications that can make use of this infrastructure. Rather, t
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Lozada, Gabriel A. The Perils of Antitrust Econometrics: Unrealistic Engel Curves, Inadequate Data, and Aggregation Bias. Institute for New Economic Thinking Working Paper Series, 2023. http://dx.doi.org/10.36687/inetwp203.

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Some economists argue antitrust policy should be based on empirical methods used by the Industrial Organization subdiscipline of economics, but non-economists must understand that those methods contain certain highly restrictive assumptions. Those assumptions involve econometric “identification,” and treating aggregate demand as if it were generated by a representative consumer (Muellbauer’s “generalized linear” preferences). We derive new results illustrating how restrictive the representative consumer assumption is; we explain aggregation bias in Almost Ideal Demand System models; and we sho
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Yu, Wusheng, Thomas Hertel, Paul Preckel, and James Eales. Projecting World Food Demand Using Alternative Demand Systems. GTAP Working Paper, 2003. http://dx.doi.org/10.21642/gtap.wp21.

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Computable General Equilibrium (CGE) models are increasingly being used to project world food markets in order to support forward-looking policy analysis. Such projections hinge critically on the underlying functional form for representing consumer demand. Simple functional forms can lead to unrealistic projections by failing to capture changes in income elasticities of demand. We adopt as our benchmark the recently introduced AIDADS demand system and compare it with several alternative demand systems currently in widespread use in CGE models. This comparison is conducted in the context of pro
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Quismorio, Brenda, Maria Antonette Pasquin, and Claire Tayco. Assessing the Alignment of Philippine Higher Education with the Emerging Demands for Data Science and Analytics Workforce. Philippine Institute for Development Studies, 2019. https://doi.org/10.62986/dp2019.34.

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Rapid advancement in technology has allowed for far-reaching use of data. This has consequently led to an increasing demand for Data Science and Analytics (DSA) professionals. However, recent studies show that such demand is often not met in many economies. Such DSA skills shortage is claimed to be rooted in the mismatch between the skills the industry demands and the skills academic institutions supply. As the first step in addressing this shortage of industry-ready DSA workers, it is necessary to know the DSA skills demanded by the industry and the DSA skills with which academic institutions
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Coavas Blanquicet, Sami Gabriel, and Celene Romero Haddad. Theory of demand. Ediciones Universidad Cooperativa de Colombia, 2023. http://dx.doi.org/10.16925/gcnc.51.

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Due to its simplicity, this lecture note is intended to be a source of introductory reference for students of the faculty of administrative, accounting and related sciences on one of the elements that make up the markets: the demand. It shows the definitions and types of demand, the law of demand, graphic and mathematical analysis. This is done through simple examples that link the theoretical-practical and its impact on markets. The theory of demand serves as a fundamental pillar in the field of Economics, aiming to comprehend and predict consumer behavior patterns. This document introduces i
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Michaels, Guy, Ashwini Natraj, and John Van Reenen. Has ICT Polarized Skill Demand? Evidence from Eleven Countries over 25 years. National Bureau of Economic Research, 2010. http://dx.doi.org/10.3386/w16138.

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Verma, Monika, Thomas Hertel, and Paul Preckel. Predicting Within Country Household Food Expenditure Variation Using International Cross-Section Estimates. GTAP Working Paper, 2009. http://dx.doi.org/10.21642/gtap.wp57.

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There is a long and distinguished literature involving demand analysis using international cross-section data. Such models are widely used for predicting national per capita consumption. However, there is nothing in this literature testing the performance of estimated models in predicting demands across the income spectrum within a single country. This paper fills the gap. We estimate an AIDADS model using cross-section international per capita data, and find that it does well in predicting food demand across the income distribution within Bangladesh. This suggests that there may be considerab
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