Pub Date : 2024-03-18DOI: 10.1109/TMBMC.2024.3369448
Yifan Chen;Dezhong Yao;Tadashi Nakano
The 14TH EAI International Conference on Bio-inspired Information and Communications Technologies (BICT 2023) was held in Okinawa, Japan on April 11-12, 2023. The focus of BICT 2023 is to present the latest research that leverages the understanding of key principles, processes, and mechanisms in biological systems for development of novel information and communications technologies (Bio-inspired ICT). BICT 2023 also highlights innovative research and technologies being developed for biomedicine that are inspired by ICT (ICT-inspired Biomedicine).
{"title":"Special Feature: 14th EAI International Conference on Bio-Inspired Information and Communications Technologies","authors":"Yifan Chen;Dezhong Yao;Tadashi Nakano","doi":"10.1109/TMBMC.2024.3369448","DOIUrl":"https://doi.org/10.1109/TMBMC.2024.3369448","url":null,"abstract":"The 14TH EAI International Conference on Bio-inspired Information and Communications Technologies (BICT 2023) was held in Okinawa, Japan on April 11-12, 2023. The focus of BICT 2023 is to present the latest research that leverages the understanding of key principles, processes, and mechanisms in biological systems for development of novel information and communications technologies (Bio-inspired ICT). BICT 2023 also highlights innovative research and technologies being developed for biomedicine that are inspired by ICT (ICT-inspired Biomedicine).","PeriodicalId":36530,"journal":{"name":"IEEE Transactions on Molecular, Biological, and Multi-Scale Communications","volume":"10 1","pages":"98-100"},"PeriodicalIF":2.2,"publicationDate":"2024-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10473525","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140161156","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-03-18DOI: 10.1109/TMBMC.2023.3339053
{"title":"IEEE Transactions on Molecular, Biological, and Multi-Scale Communications Publication Information","authors":"","doi":"10.1109/TMBMC.2023.3339053","DOIUrl":"https://doi.org/10.1109/TMBMC.2023.3339053","url":null,"abstract":"","PeriodicalId":36530,"journal":{"name":"IEEE Transactions on Molecular, Biological, and Multi-Scale Communications","volume":"10 1","pages":"C2-C2"},"PeriodicalIF":2.2,"publicationDate":"2024-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10473523","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140161126","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-03-18DOI: 10.1109/TMBMC.2024.3369486
Werner Haselmayr;Yansha Deng;Tuna Tugcu;Ali Salehi-Reyhani
Molecular communications (MC) is an emerging field, inspired by nature (e.g., endocrine signaling), that aims to use molecules to encode information. MC is attracting increasing attention as an unconventional solution to challenges posed in environments where conventional electromagnetic-based communication is not feasible or detrimental, such as inside the human body. MC is rapidly becoming a powerful tool that has the potential to drive transformative applications in chemistry, biology and medicine, and identified a key enabling communication method for the Internet of Bio-Nano Things (IoBNT). Due to the focus on energy efficiency and bio-compatibility it paves the way for efficient and reliable communication at micro- and nanoscale.
{"title":"Guest Editorial Special Issue on Microfluidic Systems for Molecular Communications","authors":"Werner Haselmayr;Yansha Deng;Tuna Tugcu;Ali Salehi-Reyhani","doi":"10.1109/TMBMC.2024.3369486","DOIUrl":"https://doi.org/10.1109/TMBMC.2024.3369486","url":null,"abstract":"Molecular communications (MC) is an emerging field, inspired by nature (e.g., endocrine signaling), that aims to use molecules to encode information. MC is attracting increasing attention as an unconventional solution to challenges posed in environments where conventional electromagnetic-based communication is not feasible or detrimental, such as inside the human body. MC is rapidly becoming a powerful tool that has the potential to drive transformative applications in chemistry, biology and medicine, and identified a key enabling communication method for the Internet of Bio-Nano Things (IoBNT). Due to the focus on energy efficiency and bio-compatibility it paves the way for efficient and reliable communication at micro- and nanoscale.","PeriodicalId":36530,"journal":{"name":"IEEE Transactions on Molecular, Biological, and Multi-Scale Communications","volume":"10 1","pages":"144-146"},"PeriodicalIF":2.2,"publicationDate":"2024-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10473609","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140161157","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-03-17DOI: 10.1109/TMBMC.2024.3397050
Stefan Angerbauer;Franz Enzenhofer;Tobias Pankratz;Medina Hamidovic;Andreas Springer;Werner Haselmayr
The Internet of Bio-Nano Things (IoBNT) is a novel framework that has the potential to enable transformative applications in healthcare and nano-medicine. It consists of artificial or natural tiny devices, so-called Bio-Nano Things (BNTs), that can be placed in the human body to carry out specific tasks (e.g., sensing) and are connected to the Internet. However, due to their small size their computation capabilities are limited, which restricts their ability to process data and make decision directly in the human body. Thus, we address this issue and propose a novel nano-scale computing architecture that performs matrix multiplications, which is one of the most important operations in signal processing and machine learning. The computation principle is based on diffusion-based propagation between connected compartments and chemical reactions within some compartments. The weights of the matrix can be set independently through adjusting the volume of the compartments. We present a stochastic and a dynamical model of the proposed structure. The stochastic model provides an analytical solution for the input-output relation in the steady state, assuming slow reaction rates. The dynamical model provides important insights into the systems temporal dynamics. Finally, micro- and mesoscopic simulations verify the proposed approach.
{"title":"Novel Nano-Scale Computing Unit for the IoBNT: Concept and Practical Considerations","authors":"Stefan Angerbauer;Franz Enzenhofer;Tobias Pankratz;Medina Hamidovic;Andreas Springer;Werner Haselmayr","doi":"10.1109/TMBMC.2024.3397050","DOIUrl":"https://doi.org/10.1109/TMBMC.2024.3397050","url":null,"abstract":"The Internet of Bio-Nano Things (IoBNT) is a novel framework that has the potential to enable transformative applications in healthcare and nano-medicine. It consists of artificial or natural tiny devices, so-called Bio-Nano Things (BNTs), that can be placed in the human body to carry out specific tasks (e.g., sensing) and are connected to the Internet. However, due to their small size their computation capabilities are limited, which restricts their ability to process data and make decision directly in the human body. Thus, we address this issue and propose a novel nano-scale computing architecture that performs matrix multiplications, which is one of the most important operations in signal processing and machine learning. The computation principle is based on diffusion-based propagation between connected compartments and chemical reactions within some compartments. The weights of the matrix can be set independently through adjusting the volume of the compartments. We present a stochastic and a dynamical model of the proposed structure. The stochastic model provides an analytical solution for the input-output relation in the steady state, assuming slow reaction rates. The dynamical model provides important insights into the systems temporal dynamics. Finally, micro- and mesoscopic simulations verify the proposed approach.","PeriodicalId":36530,"journal":{"name":"IEEE Transactions on Molecular, Biological, and Multi-Scale Communications","volume":"10 4","pages":"549-565"},"PeriodicalIF":2.4,"publicationDate":"2024-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10534193","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142844224","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-03-15DOI: 10.1109/TMBMC.2024.3401583
Kees A. Schouhamer Immink;Kui Cai;Tuan Thanh Nguyen;Jos H. Weber
We report on coding methods for efficiently synthesizing deoxyribonucleic acid (DNA) for massive data storage, where a plurality of DNA strands are synthesized in parallel. We examine the trade-offs between the information contents, redundancy, and the average or maximum number of cycles required for synthesizing a plurality of parallel DNA strands. We analyze coding methods such as guided scrambling and constrained codes for minimizing the cycle count.
我们报告了高效合成用于海量数据存储的脱氧核糖核酸(DNA)的编码方法,其中多条 DNA 链是并行合成的。我们研究了信息内容、冗余度以及合成多条并行 DNA 链所需的平均或最大周期数之间的权衡。我们分析了编码方法,如将周期数最小化的引导扰码和约束码。
{"title":"Constructions and Properties of Efficient DNA Synthesis Codes","authors":"Kees A. Schouhamer Immink;Kui Cai;Tuan Thanh Nguyen;Jos H. Weber","doi":"10.1109/TMBMC.2024.3401583","DOIUrl":"https://doi.org/10.1109/TMBMC.2024.3401583","url":null,"abstract":"We report on coding methods for efficiently synthesizing deoxyribonucleic acid (DNA) for massive data storage, where a plurality of DNA strands are synthesized in parallel. We examine the trade-offs between the information contents, redundancy, and the average or maximum number of cycles required for synthesizing a plurality of parallel DNA strands. We analyze coding methods such as guided scrambling and constrained codes for minimizing the cycle count.","PeriodicalId":36530,"journal":{"name":"IEEE Transactions on Molecular, Biological, and Multi-Scale Communications","volume":"10 2","pages":"289-296"},"PeriodicalIF":2.2,"publicationDate":"2024-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141422640","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}