Relevant bibliographies by topics / Organic, computing, system

Contents

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

Academic literature on the topic 'Organic, computing, system'

Author: Grafiati
Published: 4 June 2021
Last updated: 16 February 2022

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Journal articles on the topic "Organic, computing, system"

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Sumaru, Kimio, Shigeru Inui, and Tadae Yamanaka. "Investigation of Optical Neuro-Computing System Based on Organic Photochromism." Molecular Crystals and Liquid Crystals Science and Technology. Section A. Molecular Crystals and Liquid Crystals 345, no. 1 (2000): 239–44. http://dx.doi.org/10.1080/10587250008023925.

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Gumyusenge, Aristide, Armantas Melianas, Scott T. Keene, and Alberto Salleo. "Materials Strategies for Organic Neuromorphic Devices." Annual Review of Materials Research 51, no. 1 (2021): 47–71. http://dx.doi.org/10.1146/annurev-matsci-080619-111402.

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Neuromorphic computing is becoming increasingly prominent as artificial intelligence (AI) facilitates progressively seamless interaction between humans and machines. The conventional von Neumann architecture and complementary metal-oxide-semiconductor transistor scaling are unable to meet the highly demanding computational density and energy efficiency requirements of AI. Neuromorphic computing aims to address these challenges by using brain-like computing architectures and novel synaptic memories that coallocate information storage and computation, thereby enabling low latency at high energy efficiency and high memory density. Though various emerging memory devices have been extensively studied to emulate the functionality of biological synapses, there is currently no material/device system that encompasses both the needed metrics for high-performance neuromorphic computing and the required biocompatibility for potential body-computer integration. In this review, we aim to equip the reader with general design principles and materials requirements for realizing high-performance organic neuromorphic devices. We use instructive examples from recent literature to discuss each requirement, illustrating the challenges as well as future research opportunities. Though organic devices still face many challenges to become major players in neuromorphic computing, mostly due to their lack of compliance with back-end-of-line processes required for integration with digital logic, we propose that their biocompatibility and mechanical conformability give them an advantage for creating adaptive biointerfaces, brain-machine interfaces, and biology-inspired prosthetics.
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Ulmschneider, M., and E. Pénigault. "Computing partition coefficients for small organic molecules in the octanol/water system." Journal de Chimie Physique et de Physico-Chimie Biologique 96, no. 5 (1999): 865–76. http://dx.doi.org/10.1051/jcp:1999176.

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Brand, Michael, Davood Babazadeh, Sebastian Lehnhoff, and Dominik Engel. "Trust in control: a trust model for power system network assessment." EPJ Web of Conferences 217 (2019): 01008. http://dx.doi.org/10.1051/epjconf/201921701008.

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The question of whether a process variable transmitted from a device in the field to a power system control center is trustworthy is of high importance nowadays. Traditional bad data detection schemes have their limits in cases of elaborated cyberattacks and cascading failures in a system of systems such as a digitalized power system. This paper proposes a trust model designed for power system network assessment (PSNA). Different to other domains, where trust models already exist (e.g., OC-Trust for organic computing systems), the environment for PSNA is more centralized, and the focus lies on other facets than in organic computing due to the nature of the environment. Therefore, OC-Trust is tailored by categorizing its facets regarding their relevance for PSNA on the one hand. On the other hand, the trust model is extended to realize context-sensitive intersections of trust values. Furthermore, an example of an instantiation of the resulting PSNA-Trust model is given. Two security metrics and one credibility metric based on literature are presented as well as an equation for a context-sensitive intersection.
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Liu, Jia-Hao, Xin Chen, Yao Ren, and Qun-Dong Shen. "All-organic flexible logical computing system based on electrical polarization of ferroelectric polymers." Applied Physics Letters 116, no. 25 (2020): 253301. http://dx.doi.org/10.1063/5.0002139.

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Arroyo, Patricia, José Herrero, José Suárez, and Jesús Lozano. "Wireless Sensor Network Combined with Cloud Computing for Air Quality Monitoring." Sensors 19, no. 3 (2019): 691. http://dx.doi.org/10.3390/s19030691.

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Low-cost air pollution wireless sensors are emerging in densely distributed networks that provide more spatial resolution than typical traditional systems for monitoring ambient air quality. This paper presents an air quality measurement system that is composed of a distributed sensor network connected to a cloud system forming a wireless sensor network (WSN). Sensor nodes are based on low-power ZigBee motes, and transmit field measurement data to the cloud through a gateway. An optimized cloud computing system has been implemented to store, monitor, process, and visualize the data received from the sensor network. Data processing and analysis is performed in the cloud by applying artificial intelligence techniques to optimize the detection of compounds and contaminants. This proposed system is a low-cost, low-size, and low-power consumption method that can greatly enhance the efficiency of air quality measurements, since a great number of nodes could be deployed and provide relevant information for air quality distribution in different areas. Finally, a laboratory case study demonstrates the applicability of the proposed system for the detection of some common volatile organic compounds, including: benzene, toluene, ethylbenzene, and xylene. Principal component analysis, a multilayer perceptron with backpropagation learning algorithm, and support vector machine have been applied for data processing. The results obtained suggest good performance in discriminating and quantifying the concentration of the volatile organic compounds.
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Li, Chao Lin, and Hui Shi. "The Application and Research of Warehouse Information Intelligent Management Based on Cloud Computing." Applied Mechanics and Materials 380-384 (August 2013): 4823–26. http://dx.doi.org/10.4028/www.scientific.net/amm.380-384.4823.

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With the advancement of intelligent management of modern society, all involves mass data controll, implementation and operation for various types of intelligent management system. Cloud computing makes it possible to deal with these mass data operation , as well as turn the application of cloud computing into intelligent information management in warehouse managemet information system. In this paper, through the detailed analysis of the structure of the warehouse management information system of the functional requirements, taking advantage of the organic combination of different information technology of cloud computing and four function modules, so that the warehouse information management operates and develops more intelligent and effective, opening up new ways to achieve the intelligent management of warehouse information.
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Schuck, Christian, Bastian Haetzer, and Jü rgen Becker. "An Interface for a Decentralized 2D Reconfiguration on Xilinx Virtex-FPGAs for Organic Computing." International Journal of Reconfigurable Computing 2009 (2009): 1–11. http://dx.doi.org/10.1155/2009/273791.

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Partial and dynamic online reconfiguration of Field Programmable Gate Arrays (FPGAs) is a promising approach to design high adaptive systems with lower power consumption, higher task specific performance, and even build-in fault tolerance. Different techniques and tool flows have been successfully developed. One of them, the two-dimensional partial reconfiguration, based on the Readback-Modify-Writeback method implemented on Xilinx Virtex devices, makes them ideally suited to be used as a hardware platform in future organic computing systems, where a highly adaptive hardware is necessary. In turn, decentralisation, the key property of an organic computing system, is in contradiction with the central nature of the FPGAs configuration port. Therefore, this paper presents an approach that connects the single ICAP port to a network on chip (NoC) to provide access for all clients of the network. Through this a virtual decentralisation of the ICAP is achieved. Further true 2-dimensional partial reconfiguration is raised to a higher level of abstraction through a lightweight Readback-Modify-Writeback hardware module with different configuration and addressing modes. Results show that configuration data as well as reconfiguration times could be significantly reduced.
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Qi, Jin Quan. "Design and Research of Computer System High Confidence Fault Tolerant." Applied Mechanics and Materials 644-650 (September 2014): 3361–64. http://dx.doi.org/10.4028/www.scientific.net/amm.644-650.3361.

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For high security and reliability of system critical areas, this paper designed a high-confidence fault-tolerant computer system, which combined high credibility technology with high organic reliability integration. High trusted computing technology used TCM structure to build a trusted password support system and achieve the platform integrity, identity authentication and data security. Redundant fault-tolerant technology to ensure the system, which activated in case of an error, is still able to provide uninterrupted service. Simulation results show the effectiveness and implementation of the technical solution approaches.
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Patry, G. G., and M. W. Barnett. "Innovative Computing Techniques for Development of an Integrated Computer Control System." Water Science and Technology 26, no. 5-6 (1992): 1365–74. http://dx.doi.org/10.2166/wst.1992.0579.

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Over the past decade there has been a shift in emphasis from design and construction of wastewater treatment facilities to operation. Poor plant performance, high costs and damage to the environment have resulted from operational problems. Wastewater treatment consists of a complex sequence of inter-dependent biological, physical and chemical processes subject to time-varying hydraulic and organic load conditions. Wastewater treatment process operation and control is a knowledge intensive task. Research on improving operation and control has centred on identifying important mechanisms responsible for observed behaviour and modelling both the process and optimum ways of operating the process. These models have served as useful tools for improving operation and control. Many different approaches have been used, including deterministic modelling, stochastic modelling and, more recently, linguistic modelling. Complex mathematical models of wastewater treatment processes consisting of large numbers of non-linear differential equations can be constructed using tools such as the General Purpose Simulator (GPS) and, given appropriate data, model parameters can be evaluated and updated using existing optimization routines. Object oriented programming (OOP) and a model based reasoning (MBR) approach provides a useful framework for development of deep-knowledge expert systems (ES). Data-driven modelling methods, including both time series analysis and artificial neural network (ANN) techniques, can also be employed to make maximum use of information contained in process data. Each of these model types is a necessary component of a computer system for operational control of wastewater treatment but, in isolation, none are sufficient for making the system robust. An integrated environment for combining these techniques has been developed for this purpose and the basis for its development is described.
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Dissertations / Theses on the topic "Organic, computing, system"

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Scheidler, Alexander. "Self-Organized Specialization and Controlled Emergence in Organic Computing Systems." Doctoral thesis, Universitätsbibliothek Leipzig, 2011. http://nbn-resolving.de/urn:nbn:de:bsz:15-qucosa-39591.

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In this chapter we studied a first approach to generate suitable rule sets for solving classification problems on systems of autonomous, memory constrained components. It was shown that a multi agent system that uses interacting Pittsburgh-style classifier systems can evolve appropiate rule sets. The system evolves specialists for parts of the classification problem and cooperation between them. In this way the components overcome their restricted memory size and are able to solve the entire problem. It was shown that the communication topology between the components strongly influences the average number of components that a request has to pass until it is classified. It was also shown that the introduction of communication costs into the fitness function leads to a more even distribution of knowledge between the components and reduces the communication overhead without influencing the classification performance very much. If the system is used to generate rule sets to solve classification tasks on real hardware systems, communication cost in the training phase can thus lead to a better knowledge distribution and small communication cost. That is, in this way the system will be more robust against the loss of single components and longer reliable in case of limited energy resources.
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Kiefhaber, Rolf [Verfasser], and Theo [Akademischer Betreuer] Ungerer. "Calculating and Aggregating Direct Trust and Reputation in Organic Computing Systems / Rolf Kiefhaber. Betreuer: Theo Ungerer." Augsburg : Universität Augsburg, 2014. http://d-nb.info/1077703740/34.

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Scheidler, Alexander [Verfasser], Martin [Akademischer Betreuer] Middendorf, and Hartmut [Akademischer Betreuer] Schmeck. "Self-Organized Specialization and Controlled Emergence in Organic Computing Systems / Alexander Scheidler. Gutachter: Hartmut Schmeck. Betreuer: Martin Middendorf." Leipzig : Universitätsbibliothek Leipzig, 2011. http://d-nb.info/1020088370/34.

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Duhart, Clément. "Toward organic ambient intelligences ? : EMMA." Thesis, Le Havre, 2016. http://www.theses.fr/2016LEHA0035/document.

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L’Intelligence Ambiamte (AmI) est un domaine de recherche investigant les techniques d’intelligence artificielle pour créer des environnements réactifs. Les réseaux de capteurs et effecteurs sans-fils sont les supports de communication entre les appareils ménagers, les services installés et les interfaces homme-machine. Cette thèse s’intéresse à la conception d’Environements Réactifs avec des propriétés autonomiques i.e. des systèmes qui ont la capacité de se gérer eux-même. De tels environements sont ouverts, à grande échelle, dynamique et hétérogène, ce qui induit certains problèmes pour leur gestion par des systèmes monolithiques. L’approche proposée est bio-inspirée en considérant chacune des plate-formes comme une cellule indépendente formant un organisme intelligent distribué. Chaque cellule est programmée par un processus ADN-RNA décrit par des règles réactives décrivant leur comportement interne et externe. Ces règles sont modelées par des agents mobiles ayant des capacités d’auto-réécriture et offrant ainsi des possibilités de reprogrammation dynamique. Le framework EMMA est composé d’un middleware modulaire avec une architecture orientée ressource basée sur la technologie 6LoWPAN et d’une architecture MAPE-K pour concevoir des AmI à plusieurs échelles. Les différentes relations entre les problèmes techniques et les besoins théoriques sont discutées dans cette thèse depuis les plate-formes, le réseau, le middleware, les agents mobiles, le déploiement des applications jusqu’au système intelligent. Deux algorithmes pour AmI sont proposés : un modèle de contrôleur neuronal artificiel pour le contrôle automatique des appareils ménagers avec des processus d’apprentissage ainsi qu’une procédure de vote distribuée pour synchroniser les décisions de plusieurs composants systèmes<br>AThe Ambient Intelligence (AmI) is a research area investigating AI techniques to create Responsive Environments (RE). Wireless Sensor and Actor Network (WSAN) are the supports for communications between the appliances, the deployed services and Human Computer Interface (HCI). This thesis focuses on the design of RE with autonomic properties i.e. system that have the ability to manage themselves. Such environments are open, large scale, dynamic and heterogeneous which induce some difficulties in their management by monolithic system. The bio-inspired proposal considers all devices like independent cells forming an intelligent distributed organism. Each cell is programmed by a DNA-RNA process composed of reactive rules describing its internal and external behaviour. These rules are modelled by reactive agents with self-rewriting features offering dynamic reprogramming abilities. The EMMA framework is composed of a modular Resource Oriented Architecture (ROA) Middleware based on IPv6 LoW Power Wireless Area Networks (6LoWPAN) technology and a MAPE-K architecture to design multi-scale AmI. The different relations between technical issues and theoretical requirements are discussed through the platforms, the network, the middleware, the mobile agents, the application deployment to the intelligent system. Two algorithms for AmI are proposed: an Artificial Neural Controller (ANC) model for automatic control of appliances with learning processes and a distributed Voting Procedures (VP) to synchronize the decisions of several system components over the WSAN
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Rafael, Rybczynski. "Designing transparent display experience through the use of kinetic interaction." Thesis, Malmö högskola, Fakulteten för kultur och samhälle (KS), 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:mau:diva-22149.

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This essay presents a study into the domain of architecture meeting new interaction design principles. The paper discusses future transparent surfaces to become programmable kinetic user interfaces, usable as information and communication channels to simplify our everyday environment. Based on the approach of using the five methodologies: Cultural Probes, Research Through Design, Grounded Theory, Star Life Cycle Model and Wizard of Oz; consistent data was collected to design and iterate on a visionary interface prototype to bridge the use of freehand gestures through motion sensing and moreover supported by RFID in a building structure on a see-through background. The objective of this paper is to unravel the main research question of how can people through kinetic interaction use organic interfaces on transparent surfaces?Several possible uses were ideated such as multiple shared user access, collaborative interaction on both sides. The primary research was answered through a final presented prototype combining a CV system with RFID for multiple and collaborative usages. User experiences and feedback makes an array of applications possible how a transparent interfaces with kinetic interaction can be applied to the interior and exterior such as fridge, mirror, doors, glass panels, alarm systems, games and the home entertainment.In today’s norm screens in the shape of a square are obsolete and support of new patterns, forms and materials are needed. Fieldwork concluded that kinetic interaction could flawlessly unite real world conditions with computer-generated substance, and become the design environment for future interactions to communicate with the user. We no longer seek to be bound to stiff shaped Graphical User Interfaces. Adding a transparent surface as background for such kinetic motion is underlying paradigm for the content to be projected into any ambience and surroundings.
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Scheidler, Alexander. "Self-Organized Specialization and Controlled Emergence in Organic Computing Systems." Doctoral thesis, 2009. https://ul.qucosa.de/id/qucosa%3A11047.

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In this chapter we studied a first approach to generate suitable rule sets for solving classification problems on systems of autonomous, memory constrained components. It was shown that a multi agent system that uses interacting Pittsburgh-style classifier systems can evolve appropiate rule sets. The system evolves specialists for parts of the classification problem and cooperation between them. In this way the components overcome their restricted memory size and are able to solve the entire problem. It was shown that the communication topology between the components strongly influences the average number of components that a request has to pass until it is classified. It was also shown that the introduction of communication costs into the fitness function leads to a more even distribution of knowledge between the components and reduces the communication overhead without influencing the classification performance very much. If the system is used to generate rule sets to solve classification tasks on real hardware systems, communication cost in the training phase can thus lead to a better knowledge distribution and small communication cost. That is, in this way the system will be more robust against the loss of single components and longer reliable in case of limited energy resources.
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Books on the topic "Organic, computing, system"

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Bereković, Mladen. Architecture of Computing Systems - ARCS 2011: 24th International Conference, Como, Italy, February 24-25, 2011. Proceedings. Springer Berlin Heidelberg, 2011.

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Wolfgang, Karl, Yehia Sami, and SpringerLink (Online service), eds. Architecture of Computing Systems - ARCS 2010: 23rd International Conference, Hannover, Germany, February 22-25, 2010. Proceedings. Springer-Verlag Berlin Heidelberg, 2010.

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Müller-Schloer, Christian, Hartmut Schmeck, and Theo Ungerer, eds. Organic Computing — A Paradigm Shift for Complex Systems. Springer Basel, 2011. http://dx.doi.org/10.1007/978-3-0348-0130-0.

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Beigl, Michael, and Paul Lukowicz, eds. Systems Aspects in Organic and Pervasive Computing - ARCS 2005. Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/b106632.

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Müller-Schloer, Christian, and Sven Tomforde. Organic Computing – Technical Systems for Survival in the Real World. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-68477-2.

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Michael, Beigl, and Lukowicz Paul, eds. Systems aspects in organic and pervasive computing--ARCS 2005: 18th International Conference on Architecture of Computing Systems, Innsbruck, Austria, March 14-17, 2005 : proceedings. Springer, 2005.

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1950-, Müller-Schloer C., Ungerer Theo 1954-, and Bauer Bernhard 1966-, eds. Organic and pervasive computing--ARCS 2004: International Conference on Architecture of Computing Systems, Augsburg, Germany, March 23-26, 2004 : proceedings. Springer-Verlag, 2004.

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P, Würtz Rolf, ed. Organic computing. Springer, 2008.

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Ungerer, Theo, Hartmut Schmeck, and Christian Müller-Schloer. Organic Computing - A Paradigm Shift for Complex Systems. Springer, 2011.

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Organic Computing A Paradigm Shift For Complex Systems. Birkhauser, 2011.

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Book chapters on the topic "Organic, computing, system"

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Brinkschulte, Uwe, Mathias Pacher, and Alexander von Renteln. "An Artificial Hormone System for Self-Organizing Real-Time Task Allocation in Organic Middleware." In Organic Computing. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-540-77657-4_12.

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Buciu, Ioan, and Ioannis Pitas. "Subspace Image Representation for Facial Expression Analysis and Face Recognition and its Relation to the Human Visual System." In Organic Computing. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-540-77657-4_14.

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Rosenbauer, Lukas, David Pätzel, Anthony Stein, and Jörg Hähner. "An Organic Computing System for Automated Testing." In Architecture of Computing Systems. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-81682-7_9.

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Decker, Christian, Michael Beigl, and Albert Krohn. "A File System for System Programming in Ubiquitous Computing." In Systems Aspects in Organic and Pervasive Computing - ARCS 2005. Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/978-3-540-31967-2_18.

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Bouajila, Abdelmajid, Johannes Zeppenfeld, Walter Stechele, et al. "Autonomic System on Chip Platform." In Organic Computing — A Paradigm Shift for Complex Systems. Springer Basel, 2011. http://dx.doi.org/10.1007/978-3-0348-0130-0_27.

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Schmeck, Hartmut. "Organic Computing – A Generic Approach to Controlled Self-organization in Adaptive Systems." In Multiagent System Technologies. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-24603-6_2.

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Gulyaeva, Karina A., and Irina L. Artemieva. "The Ontological Approach in Organic Chemistry Intelligent System Development." In Advances in Intelligent Systems and Computing. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-32-9343-4_7.

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Bonn, Matthias, and Hartmut Schmeck. "The JoSchKa System: Organic Job Distribution in Heterogeneous and Unreliable Environments." In Architecture of Computing Systems - ARCS 2010. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-11950-7_8.

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Brockmann, Werner, Nils Rosemann, and Erik Maehle. "A Framework for Controlled Self-optimisation in Modular System Architectures." In Organic Computing — A Paradigm Shift for Complex Systems. Springer Basel, 2011. http://dx.doi.org/10.1007/978-3-0348-0130-0_18.

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Wang, Xi, Chun Wang, Xinzhong Wang, and Weidong Zhuang. "Study for Organic Soybean Production Information Traceability System Based on Web." In Computer and Computing Technologies in Agriculture IV. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-18336-2_69.

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Conference papers on the topic "Organic, computing, system"

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Bouajila, A., J. Zeppenfeld, W. Stechele, et al. "Organic Computing at the System on Chip Level." In 2006 IFIP International Conference on Very Large Scale Integration. IEEE, 2006. http://dx.doi.org/10.1109/vlsisoc.2006.313257.

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Tomforde, Sven, Stefan Rudolph, Kirstie Bellman, and Rolf Wurtz. "An Organic Computing Perspective on Self-Improving System Interweaving at Runtime." In 2016 IEEE International Conference on Autonomic Computing (ICAC). IEEE, 2016. http://dx.doi.org/10.1109/icac.2016.15.

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Rozman, Črtomir, Andrej Škraba, Miroljub Kljajić, et al. "The System Dynamics Model for Development of Organic Agriculture." In COMPUTING ANTICIPATORY SYSTEMS: CASYS’07—Eighth International Conference. AIP, 2008. http://dx.doi.org/10.1063/1.3020677.

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"Incremental Design of Organic Computing Systems - Moving System Design from Design-Time to Runtime." In 10th International Conference on Informatics in Control, Automation and Robotics. SciTePress - Science and and Technology Publications, 2013. http://dx.doi.org/10.5220/0004457901850192.

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Ma, Jianhua. "Wear-I: A Multi-Wearable Organic System for Smarter Individual Services." In 2018 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced & Trusted Computing, Scalable Computing & Communications, Cloud & Big Data Computing, Internet of People and Smart City Innovation (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI). IEEE, 2018. http://dx.doi.org/10.1109/smartworld.2018.00333.

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Simonin, Jacques, and Pierre-Yves Pillain. "A System Organic Architecture Based on Dynamic Functional Architecture Modeling." In 2017 IEEE 21st International Enterprise Distributed Object Computing Workshop (EDOCW). IEEE, 2017. http://dx.doi.org/10.1109/edocw.2017.12.

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Sircar, Aenakshi. "Organic Thin Film Transistors for Flexible Electronics." In International Conference on Women Researchers in Electronics and Computing. AIJR Publisher, 2021. http://dx.doi.org/10.21467/proceedings.114.61.

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Progress in electronics gave rise to the concept of flexible electronics. Which are widely being used for medical and aerospace research. Further development in the fields of flexible electronics unfolded another branch of this electronics system called organic flexible electronics. Organic thin-film transistors, Organic light-emitting diodes are a few of the many forms of organic flexible electronics. Organic materials being used as the substrates increase the flexibility of the electronic circuit. The conductivity of these substrates can be controlled as per requirement by varying the doping concentration of the substrate. The cost of production of organic flexible electronics is low as compared to electronics circuits using a silicon substrate. This paper illustrates the various properties of organic materials and their applications and suitability in flexible electronics.
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You, Fu, Wang Yu, and Hua Rong. "Research on the Traffic Flow Prediction System Framework for ITS Based on Organic Computing." In Tenth International Conference of Chinese Transportation Professionals (ICCTP). American Society of Civil Engineers, 2010. http://dx.doi.org/10.1061/41127(382)234.

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Basnayake, B. M. A. L., and C. Rajapakse. "A Blockchain-based decentralized system to ensure the transparency of organic food supply chain." In 2019 International Research Conference on Smart Computing and Systems Engineering (SCSE). IEEE, 2019. http://dx.doi.org/10.23919/scse.2019.8842690.

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Sabir, Mohd Owaish, Prateek Verma, P. K. Maduri, and Kushagra Kushagra. "Electrically controlled artificial system for organic waste management using Black Soldier Flies with IOT monitoring." In 2020 2nd International Conference on Advances in Computing, Communication Control and Networking (ICACCCN). IEEE, 2020. http://dx.doi.org/10.1109/icacccn51052.2020.9362816.

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