Proceedings of the 7th ACM International Conference on Nanoscale Computing and Communication : Virtual Conference, September 23-25, 2020 : NanoCom 2020. ACM International Conference on Nanoscale Computing and Communication (7th : 2020 :...最新文献
Information exchange is a key process in all communication systems, including biological ones. This paper presents first results on the study of the impact of retroactivity, the loads that downstream modules apply on their upstream systems, on different biological signaling system models. The aim is to provide analytical tools to maximize the reliable information exchange in biomolecular circuits.
{"title":"The impact of retroactivity on information exchange in molecular communications","authors":"F. Ratti, M. Magarini, D. Vecchio","doi":"10.1145/3411295.3411311","DOIUrl":"https://doi.org/10.1145/3411295.3411311","url":null,"abstract":"Information exchange is a key process in all communication systems, including biological ones. This paper presents first results on the study of the impact of retroactivity, the loads that downstream modules apply on their upstream systems, on different biological signaling system models. The aim is to provide analytical tools to maximize the reliable information exchange in biomolecular circuits.","PeriodicalId":93611,"journal":{"name":"Proceedings of the 7th ACM International Conference on Nanoscale Computing and Communication : Virtual Conference, September 23-25, 2020 : NanoCom 2020. ACM International Conference on Nanoscale Computing and Communication (7th : 2020 :...","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88723544","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Sasmita Dash, C. Liaskos, I. Akyildiz, A. Pitsillides
In the development of terahertz (THz) communication systems, the nanoantenna is the most significant component. Especially, the focus is to design highly directive antennas, because it enhances the performance of the overall system by compensating the large path loss at THz and thus improves the signal-to-noise ratio. This paper presents suitable material for nanoantenna design and the advancement in their performance for THz communications. Copper, Graphene, and carbon nanotube materials are used as promising candidates for nanoantenna design. The performance of nanoantennas is carried out by analyzing the properties and behavior of the material at THz. Results show that the Graphene nanoantenna provides better performance in terms of miniaturization, directivity, and radiation efficiency. Further, the performance enhancement of the nanoantenna at THz is studied by dynamically adjusting the surface conductivity via the chemical potential of Graphene using the electric field effect. The performance of the nanoantenna is enhanced in terms of high miniaturization, high directivity, low reflection, frequency reconfiguration, and stable impedance. The THz nanoantennas using Graphene have the potential to be used for THz communication systems. In view of the smart THz wireless environment; this paper finally presents a THz Hypersurface using Graphene meta-atoms. The user-side Graphene nanoantennas and environment-side Graphene Hypersurface can build a promising smart THz wireless environment.
{"title":"Nanoantennas design for THz communication: material selection and performance enhancement","authors":"Sasmita Dash, C. Liaskos, I. Akyildiz, A. Pitsillides","doi":"10.1145/3411295.3411312","DOIUrl":"https://doi.org/10.1145/3411295.3411312","url":null,"abstract":"In the development of terahertz (THz) communication systems, the nanoantenna is the most significant component. Especially, the focus is to design highly directive antennas, because it enhances the performance of the overall system by compensating the large path loss at THz and thus improves the signal-to-noise ratio. This paper presents suitable material for nanoantenna design and the advancement in their performance for THz communications. Copper, Graphene, and carbon nanotube materials are used as promising candidates for nanoantenna design. The performance of nanoantennas is carried out by analyzing the properties and behavior of the material at THz. Results show that the Graphene nanoantenna provides better performance in terms of miniaturization, directivity, and radiation efficiency. Further, the performance enhancement of the nanoantenna at THz is studied by dynamically adjusting the surface conductivity via the chemical potential of Graphene using the electric field effect. The performance of the nanoantenna is enhanced in terms of high miniaturization, high directivity, low reflection, frequency reconfiguration, and stable impedance. The THz nanoantennas using Graphene have the potential to be used for THz communication systems. In view of the smart THz wireless environment; this paper finally presents a THz Hypersurface using Graphene meta-atoms. The user-side Graphene nanoantennas and environment-side Graphene Hypersurface can build a promising smart THz wireless environment.","PeriodicalId":93611,"journal":{"name":"Proceedings of the 7th ACM International Conference on Nanoscale Computing and Communication : Virtual Conference, September 23-25, 2020 : NanoCom 2020. ACM International Conference on Nanoscale Computing and Communication (7th : 2020 :...","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80409094","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Tom Ruvio, Connor J. Grady, Alexander R Bricco, A. Gilad
For thousands of years, a war has been waged between hackers and cryptographers1. Cryptographers find a safe way to store and transport information, and hackers attempt to access it. Today, this war is waged on a much more microscopic scale, and as new storage methods, like ones utilizing DNA are developed, cryptographers need to find a way to protect the data from malicious entities1,2. A solution may lie in the thousands of proteins in the human cell and attaching information onto these proteins while preserving their function. Even though there are encryption schemes that managed to insert information onto DNA a reliable approach to consistently preserve the function of the protein, and hence the viability of the cells transporting the information is necessary2,3. As a result, the motivation of this study was to devise a way to efficiently hide a message in living cells that cannot be discovered without DNA sequencing. We utilized these proteins, coupled with this Artificial Intelligence (AI) centered approach, to devise a standard scheme where one could reliably encode encrypted information onto these functional proteins. On the basis of repeated predictability modeling, and wet lab generations of the model system, Enhance Green Fluorescent Protein (EGFP). Our group attempted to develop a program capable of reliably encrypting information onto a protein of interest, EGFP, based on a desired degree of functionality and the amount of information needed to be encrypted. The encryption done was based on the Advanced Encryption standard (AES), the golden standard of encryption established by the U.S. National Institute of Standards and Technology (NIST)4. This scheme, similar to the work done centuries ago, contributes to the added security and applicability of novel data storage and information transfer methods in the field of synthetic biology.
{"title":"AI assisted encryption into DNA sequence of a functional protein","authors":"Tom Ruvio, Connor J. Grady, Alexander R Bricco, A. Gilad","doi":"10.1145/3411295.3411316","DOIUrl":"https://doi.org/10.1145/3411295.3411316","url":null,"abstract":"For thousands of years, a war has been waged between hackers and cryptographers1. Cryptographers find a safe way to store and transport information, and hackers attempt to access it. Today, this war is waged on a much more microscopic scale, and as new storage methods, like ones utilizing DNA are developed, cryptographers need to find a way to protect the data from malicious entities1,2. A solution may lie in the thousands of proteins in the human cell and attaching information onto these proteins while preserving their function. Even though there are encryption schemes that managed to insert information onto DNA a reliable approach to consistently preserve the function of the protein, and hence the viability of the cells transporting the information is necessary2,3. As a result, the motivation of this study was to devise a way to efficiently hide a message in living cells that cannot be discovered without DNA sequencing. We utilized these proteins, coupled with this Artificial Intelligence (AI) centered approach, to devise a standard scheme where one could reliably encode encrypted information onto these functional proteins. On the basis of repeated predictability modeling, and wet lab generations of the model system, Enhance Green Fluorescent Protein (EGFP). Our group attempted to develop a program capable of reliably encrypting information onto a protein of interest, EGFP, based on a desired degree of functionality and the amount of information needed to be encrypted. The encryption done was based on the Advanced Encryption standard (AES), the golden standard of encryption established by the U.S. National Institute of Standards and Technology (NIST)4. This scheme, similar to the work done centuries ago, contributes to the added security and applicability of novel data storage and information transfer methods in the field of synthetic biology.","PeriodicalId":93611,"journal":{"name":"Proceedings of the 7th ACM International Conference on Nanoscale Computing and Communication : Virtual Conference, September 23-25, 2020 : NanoCom 2020. ACM International Conference on Nanoscale Computing and Communication (7th : 2020 :...","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90648532","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Oil reservoir exploration is booming, given the increasing energy demand worldwide. The existence of Impermeable Regions (IR) in the oil reservoir (i.e., underground areas that allow only few hydrocarbons-collecting fluids to pass through) still hinders current production performance to a great extent. Research efforts have been invested into IR detection and mapping. The state of the art solution [1] leverages nanoscale sensor networks to approximately characterize the location of a single IR in the underground oil reservoir. However, the characterization accuracy is rather low. In addition, existing solutions are not applicable to more heterogeneous reservoirs, which reflects, in fact, a more realistic problem scenario. In this paper, we investigate and address the limitations of state of the art solutions in two aspects: 1) we provide a sub-terahertz (THz) communication channel to reflect realism of nanocommunication in the underground; 2) we develop a sensor path (i.e., simulated streamlines along which sensors are assumed to flow) reconstruction workflow to map a more heterogeneous reservoir with more IRs. Through simulations, we show that our proposed solution achieves an improvement of IRs mapping performance, when compared to the state of the art solution.
{"title":"NanoCommunication-based flow path mapping for NanoSensors in underground oil reservoirs","authors":"Liuyi Jin, Zhipei Yan, L. Zuo, R. Stoleru","doi":"10.1145/3411295.3411309","DOIUrl":"https://doi.org/10.1145/3411295.3411309","url":null,"abstract":"Oil reservoir exploration is booming, given the increasing energy demand worldwide. The existence of Impermeable Regions (IR) in the oil reservoir (i.e., underground areas that allow only few hydrocarbons-collecting fluids to pass through) still hinders current production performance to a great extent. Research efforts have been invested into IR detection and mapping. The state of the art solution [1] leverages nanoscale sensor networks to approximately characterize the location of a single IR in the underground oil reservoir. However, the characterization accuracy is rather low. In addition, existing solutions are not applicable to more heterogeneous reservoirs, which reflects, in fact, a more realistic problem scenario. In this paper, we investigate and address the limitations of state of the art solutions in two aspects: 1) we provide a sub-terahertz (THz) communication channel to reflect realism of nanocommunication in the underground; 2) we develop a sensor path (i.e., simulated streamlines along which sensors are assumed to flow) reconstruction workflow to map a more heterogeneous reservoir with more IRs. Through simulations, we show that our proposed solution achieves an improvement of IRs mapping performance, when compared to the state of the art solution.","PeriodicalId":93611,"journal":{"name":"Proceedings of the 7th ACM International Conference on Nanoscale Computing and Communication : Virtual Conference, September 23-25, 2020 : NanoCom 2020. ACM International Conference on Nanoscale Computing and Communication (7th : 2020 :...","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80674933","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
M. Magarini, R. Morris, F. Ratti, Maximilian Schäfer, G. Bassel, Hamdan Awan, W. Haselmayr
With no option to run away, plants' survival builds on their capacity to respond to challenges from their environment. Plants monitor their surroundings and plastically adjust their metabolism, growth and development to acclimatise and defend themselves [1]. In particular, the timing of events such as germination, flowering, pollination and seed development are key adaptive traits [2, 3]. Plants go to great lengths to get the timing of these developmental transitions coordinated with their environmental conditions [4].
{"title":"A molecular communications framework for understanding the floral transition","authors":"M. Magarini, R. Morris, F. Ratti, Maximilian Schäfer, G. Bassel, Hamdan Awan, W. Haselmayr","doi":"10.1145/3411295.3411301","DOIUrl":"https://doi.org/10.1145/3411295.3411301","url":null,"abstract":"With no option to run away, plants' survival builds on their capacity to respond to challenges from their environment. Plants monitor their surroundings and plastically adjust their metabolism, growth and development to acclimatise and defend themselves [1]. In particular, the timing of events such as germination, flowering, pollination and seed development are key adaptive traits [2, 3]. Plants go to great lengths to get the timing of these developmental transitions coordinated with their environmental conditions [4].","PeriodicalId":93611,"journal":{"name":"Proceedings of the 7th ACM International Conference on Nanoscale Computing and Communication : Virtual Conference, September 23-25, 2020 : NanoCom 2020. ACM International Conference on Nanoscale Computing and Communication (7th : 2020 :...","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74561962","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
BloodVoyagerS (BVS) is an ns-3 module that simulates the global movement of nanobots in the human body. The Blood-VoyagerS Visualizer (BVS-Vis) is a multi-platform visualization tool for result files of BVS. BVS-Vis shows the distribution of the simulated nanobots over time in a three-dimensional cardiovascular model. The animation can be rotated, moved, zoomed in and it is possible to navigate through different time steps. For a quick interpretation of simulation results, a heat map of the nanobots concentration can be generated via post-processing. BVS-Vis is available as a website and as a complete docker-compose setup. It increases the workflow with BVS significantly and enables prompt analysis of simulation results.
{"title":"BVS-Vis: a web-based visualizer for BloodVoyagerS","authors":"R. Wendt, C. Deter, S. Fischer","doi":"10.1145/3411295.3411300","DOIUrl":"https://doi.org/10.1145/3411295.3411300","url":null,"abstract":"BloodVoyagerS (BVS) is an ns-3 module that simulates the global movement of nanobots in the human body. The Blood-VoyagerS Visualizer (BVS-Vis) is a multi-platform visualization tool for result files of BVS. BVS-Vis shows the distribution of the simulated nanobots over time in a three-dimensional cardiovascular model. The animation can be rotated, moved, zoomed in and it is possible to navigate through different time steps. For a quick interpretation of simulation results, a heat map of the nanobots concentration can be generated via post-processing. BVS-Vis is available as a website and as a complete docker-compose setup. It increases the workflow with BVS significantly and enables prompt analysis of simulation results.","PeriodicalId":93611,"journal":{"name":"Proceedings of the 7th ACM International Conference on Nanoscale Computing and Communication : Virtual Conference, September 23-25, 2020 : NanoCom 2020. ACM International Conference on Nanoscale Computing and Communication (7th : 2020 :...","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78233982","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Sunasheer Bhattacharjee, Martin Damrath, Fabian Bronner, Lukas Stratmann, J. P. Drees, F. Dressler, P. Hoeher
Molecular communication can enable transmission of information within industrial networks comprising of pipes, ducts, etc. This work emulates the system by introducing an air-based macroscopic molecular communication testbed, exploiting the fluorescence property of a water-based solution of an organic compound called fluorescein. An efficient transmitter in the form of an industrial sprayer, coupled with a high-speed camera-based detection, eventually paves way to achieve higher data transmission rates. The transmission distances considered are in the range of several centimeters to meters. Additionally, models for spray nozzle injector and camera receiver are described to simulate the testbed in a particle-based simulator. These simulated models are calibrated to the used transmitter and receiver and are compared with the analytical models obtained from the testbed measurements.
{"title":"A testbed and simulation framework for air-based molecular communication using fluorescein","authors":"Sunasheer Bhattacharjee, Martin Damrath, Fabian Bronner, Lukas Stratmann, J. P. Drees, F. Dressler, P. Hoeher","doi":"10.1145/3411295.3411298","DOIUrl":"https://doi.org/10.1145/3411295.3411298","url":null,"abstract":"Molecular communication can enable transmission of information within industrial networks comprising of pipes, ducts, etc. This work emulates the system by introducing an air-based macroscopic molecular communication testbed, exploiting the fluorescence property of a water-based solution of an organic compound called fluorescein. An efficient transmitter in the form of an industrial sprayer, coupled with a high-speed camera-based detection, eventually paves way to achieve higher data transmission rates. The transmission distances considered are in the range of several centimeters to meters. Additionally, models for spray nozzle injector and camera receiver are described to simulate the testbed in a particle-based simulator. These simulated models are calibrated to the used transmitter and receiver and are compared with the analytical models obtained from the testbed measurements.","PeriodicalId":93611,"journal":{"name":"Proceedings of the 7th ACM International Conference on Nanoscale Computing and Communication : Virtual Conference, September 23-25, 2020 : NanoCom 2020. ACM International Conference on Nanoscale Computing and Communication (7th : 2020 :...","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77640158","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
With the continuous development of technologies, our society is approaching the next stage of industrialization. The Fourth Industrial Revolution also referred to as Industry 4.0, redefines the manufacturing system as a smart and connected machinery system with fully autonomous operation capability. Several advanced cutting-edge technologies, such as cyber-physical systems (CPS), internet of things (IoT), and artificial intelligence, are believed as the essential components to realize Industry 4.0. In this paper, we focus on a comprehensive review of how artificial intelligence benefits Industry 4.0, including potential challenges and possible solutions. A panoramic introduction of neuromorphic computing is provided, which is one of the most promising and attractive research directions in artificial intelligence. Subsequently, we introduce the vista of the neuromorphic-powered Industry 4.0 system and survey a few research activities on applications of artificial neural networks for IoT.
{"title":"Powering next-generation industry 4.0 by a self-learning and low-power neuromorphic system","authors":"Hongyu An, D. Ha, Y. Yi","doi":"10.1145/3411295.3411302","DOIUrl":"https://doi.org/10.1145/3411295.3411302","url":null,"abstract":"With the continuous development of technologies, our society is approaching the next stage of industrialization. The Fourth Industrial Revolution also referred to as Industry 4.0, redefines the manufacturing system as a smart and connected machinery system with fully autonomous operation capability. Several advanced cutting-edge technologies, such as cyber-physical systems (CPS), internet of things (IoT), and artificial intelligence, are believed as the essential components to realize Industry 4.0. In this paper, we focus on a comprehensive review of how artificial intelligence benefits Industry 4.0, including potential challenges and possible solutions. A panoramic introduction of neuromorphic computing is provided, which is one of the most promising and attractive research directions in artificial intelligence. Subsequently, we introduce the vista of the neuromorphic-powered Industry 4.0 system and survey a few research activities on applications of artificial neural networks for IoT.","PeriodicalId":93611,"journal":{"name":"Proceedings of the 7th ACM International Conference on Nanoscale Computing and Communication : Virtual Conference, September 23-25, 2020 : NanoCom 2020. ACM International Conference on Nanoscale Computing and Communication (7th : 2020 :...","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77144054","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
J. P. Drees, Lukas Stratmann, Fabian Bronner, Max Bartunik, J. Kirchner, H. Unterweger, F. Dressler
Molecular communication in pipe networks is a novel technique for wireless data exchange. Simulating such networks accurately is difficult because of the complexity of fluid dynamics at centimeter scales, which existing molecular communication simulators do not model. The new simulator we present combines computational fluid dynamics simulation and particle movement predictions. It is optimized to be computationally efficient while offering a high degree of adaptability to complex fluid flows in larger pipe networks. We validate it by comparing the simulation with experimental results obtained in a real-world testbed.
{"title":"Efficient simulation of macroscopic molecular communication: the pogona simulator","authors":"J. P. Drees, Lukas Stratmann, Fabian Bronner, Max Bartunik, J. Kirchner, H. Unterweger, F. Dressler","doi":"10.1145/3411295.3411297","DOIUrl":"https://doi.org/10.1145/3411295.3411297","url":null,"abstract":"Molecular communication in pipe networks is a novel technique for wireless data exchange. Simulating such networks accurately is difficult because of the complexity of fluid dynamics at centimeter scales, which existing molecular communication simulators do not model. The new simulator we present combines computational fluid dynamics simulation and particle movement predictions. It is optimized to be computationally efficient while offering a high degree of adaptability to complex fluid flows in larger pipe networks. We validate it by comparing the simulation with experimental results obtained in a real-world testbed.","PeriodicalId":93611,"journal":{"name":"Proceedings of the 7th ACM International Conference on Nanoscale Computing and Communication : Virtual Conference, September 23-25, 2020 : NanoCom 2020. ACM International Conference on Nanoscale Computing and Communication (7th : 2020 :...","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86604879","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The design of components with molecular communication (MC) functionalities can bring new opportunities to facilitate emerging applications in fields from personal healthcare to modern industry. In this paper, we propose the microfluidic AND gate design, and we also establish a general mathematical framework to theoretically characterize this microfluidic circuit. Based on these, we first derive the output concentration distribution of our proposed AND gate design, and then provide the insight into the design parameter selection to ensure an exhibition of desired behaviour. Simulation results obtained in COMSOL not only show the desired behaviour of the proposed AND gate, but also demonstrate the accuracy of our proposed mathematical framework.
{"title":"Microfluidic AND gate design for molecular communication","authors":"Dadi Bi, Yansha Deng","doi":"10.1145/3411295.3411306","DOIUrl":"https://doi.org/10.1145/3411295.3411306","url":null,"abstract":"The design of components with molecular communication (MC) functionalities can bring new opportunities to facilitate emerging applications in fields from personal healthcare to modern industry. In this paper, we propose the microfluidic AND gate design, and we also establish a general mathematical framework to theoretically characterize this microfluidic circuit. Based on these, we first derive the output concentration distribution of our proposed AND gate design, and then provide the insight into the design parameter selection to ensure an exhibition of desired behaviour. Simulation results obtained in COMSOL not only show the desired behaviour of the proposed AND gate, but also demonstrate the accuracy of our proposed mathematical framework.","PeriodicalId":93611,"journal":{"name":"Proceedings of the 7th ACM International Conference on Nanoscale Computing and Communication : Virtual Conference, September 23-25, 2020 : NanoCom 2020. ACM International Conference on Nanoscale Computing and Communication (7th : 2020 :...","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83166759","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Proceedings of the 7th ACM International Conference on Nanoscale Computing and Communication : Virtual Conference, September 23-25, 2020 : NanoCom 2020. ACM International Conference on Nanoscale Computing and Communication (7th : 2020 :...
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