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CINTI-MACRo 2022 Cover Page CINTI-MACRo 2022封面页

Micro Pub Date : 2022-11-21 DOI: 10.1109/cinti-macro57952.2022.10029447

引用次数: 0

Multiscopic Topological Twin in Trailer Living Laboratory : Plenary Talk 拖车生活实验室中的多视场拓扑孪生体:全体会议

Micro Pub Date : 2022-11-21 DOI: 10.1109/CINTI-MACRo57952.2022.10029665

N. Kubota

{"title":"Multiscopic Topological Twin in Trailer Living Laboratory : Plenary Talk","authors":"N. Kubota","doi":"10.1109/CINTI-MACRo57952.2022.10029665","DOIUrl":"https://doi.org/10.1109/CINTI-MACRo57952.2022.10029665","url":null,"abstract":"Recently Cyber-Physical Systems, Digital Transformation, and Digital Twin have been discussed towards the digitalization of service to people thanks to the integration of information, intelligence, communication, and robot technologies. topological structure is useful to extract features from given or measured big data and to simulate a real-world phenomenon in such a cyber world. Therefore, we proposed the concept of topological twin. The aim of topological twin is to (1) extract topological structures hidden implicitly in the real world, (2) reproduce them explicitly in the cyber world, and (3) simulate and analyze the real world in the cyber world. The topological twin plays the important role in extracting and connecting structures hidden in real world from the mutliscopic point of view. In this talk, we discuss the concept of topological twin for sophisticated service to people in order to bridge the cyber-physical gap from the multiscopic point of view. First, we discuss the role of trailer living laboratory as a new style of smart home in the future society. We can bring the trailer living laboratory to elderly houses, hospitals, and public spaces, and discuss the co-creation towards open innovation using daily life settings with multi-stakeholder approach. Next, we explain various types of topological mapping methods, unsupervised learning methods, and graph-based methods as the methodology of topological intelligence. One of them is Growing Neural Gas (GNG) that can dynamically change the topological structure composed of nodes and edges. We have proposed various types of methods based on multi-scale batch-learning GNG called Fast GNG. Next, we show the comparison result of Fast GNG with other methods. Furthermore, we show several experimental results of multiscopic topological twin in the trailer living laboratory. Finally, we discuss the future direction of researches on the multiscopic topological twin.","PeriodicalId":18535,"journal":{"name":"Micro","volume":"78 1","pages":"000011-000012"},"PeriodicalIF":0.0,"publicationDate":"2022-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91032434","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}

引用次数: 0

Poly(styrene-b-isobutylene-b-styrene) Triblock Copolymer Fiber Generation with Centrifugal Spinning, and its Potential Application in Oil Collection 离心纺丝制备聚(苯乙烯-异丁烯-苯乙烯)三嵌段共聚物纤维及其在集油中的潜在应用

Micro Pub Date : 2022-11-21 DOI: 10.1109/CINTI-MACRo57952.2022.10029628

J. Kántor, A. Gergely, R. Farmos, Norbert Hodgyai

引用次数: 2

Evaluation of the Use of an Intelligent System in the Calibration of a Refined Car-Following Model 智能系统在汽车跟随模型标定中的应用评价

Micro Pub Date : 2022-11-21 DOI: 10.1109/CINTI-MACRo57952.2022.10029500

M. Pop, O. Proștean, M. Micea

引用次数: 1

Structure and Randomness : Plenary Talk 结构和随机性:全体会议

Micro Pub Date : 2022-11-21 DOI: 10.1109/cinti-macro57952.2022.10029437

J. Solymosi

{"title":"Structure and Randomness : Plenary Talk","authors":"J. Solymosi","doi":"10.1109/cinti-macro57952.2022.10029437","DOIUrl":"https://doi.org/10.1109/cinti-macro57952.2022.10029437","url":null,"abstract":"Probabilistic methods are very important and useful tools in many domains, from theoretical mathematics to applied engineering. In this — mostly mathematical — talk I will list several examples where randomness and quasirandomness helps to work with mathematical and physical structures. For example the key of data compression is taking smartly selected random samples from the data. Random variables are very useful, but extracting random bits is an “expensive” process. Purely random systems are relatively easy to work with. For example if a large graph is random, where the edges are selected independently at random with probability 1/2, then we know (almost) exactly the size of the largest complete and empty subgraph. On the other hand, constructing graphs with similarly small complete and empty subgraphs deterministically is a very difficult problem. Most systems we are working with are not random, but not completely deterministic either. To illustrate a general method let us suppose that a function y=f(x) is given. In order to work with it or to understand its behaviour, we would like to write it as f(x)=g(x) + h(x)+ r(x) where g(x) is very simple (like a step function), h(x) is a random function and r(x) is the error term which is hopefully small in the range we are working in. The talk is intended for a general audience, no advanced mathematical background is expected","PeriodicalId":18535,"journal":{"name":"Micro","volume":"77 1","pages":"1-2"},"PeriodicalIF":0.0,"publicationDate":"2022-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82255344","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}

引用次数: 0

Analysis of Network-based Data Collection Mechanisms Applicable in Securing Critical Infrastructures 关键基础设施安全中基于网络的数据采集机制分析

Micro Pub Date : 2022-11-21 DOI: 10.1109/CINTI-MACRo57952.2022.10029629

Katalin Ferencz, Erno Rigó

引用次数: 0

Acoustic Moving Source Localization using Sparse Time Difference of Arrival Measurements 基于稀疏到达测量时差的声源定位

Micro Pub Date : 2022-11-21 DOI: 10.1109/CINTI-MACRo57952.2022.10029405

G. Simon

引用次数: 0

Automatic facial expression recognition in an image sequence using conditional random field 基于条件随机场的图像序列面部表情自动识别

Micro Pub Date : 2022-11-21 DOI: 10.1109/CINTI-MACRo57952.2022.10029507

M. Roshanzamir, Mahdi Roshanzamir, Abdolreza Mirzaei, M. Darbandy, A. Shoeibi, R. Alizadehsani, F. Khozeimeh, A. Khosravi

{"title":"Automatic facial expression recognition in an image sequence using conditional random field","authors":"M. Roshanzamir, Mahdi Roshanzamir, Abdolreza Mirzaei, M. Darbandy, A. Shoeibi, R. Alizadehsani, F. Khozeimeh, A. Khosravi","doi":"10.1109/CINTI-MACRo57952.2022.10029507","DOIUrl":"https://doi.org/10.1109/CINTI-MACRo57952.2022.10029507","url":null,"abstract":"Facial expression recognition is one of the fields that nowadays has attracted the attention of many researchers. It is possible to automate facial expression recognition using artificial intelligence methods. This will be of great help to researchers, especially in areas such as psychology. Automatic facial recognition can be derived from a static image of facial expression, but a better and more efficient way to do this is through a sequence of images. In this paper, a new method is proposed to automatically detect facial expressions from a sequence of images. Each sequence of facial images begins with a face neutral state and ends with one of the six main emotions. Motion vectors are extracted from the sequence using optical flow algorithm. These vectors are then used to train the conditional random field and finally to automatically determine the emotion. In this paper, in addition to the basic conditional random field, the hidden dynamic conditional random field is also investigated. Additionally, the effect of changing some parameters of these algorithms such as different optimization methods has been investigated. Given that a facial expression is recognized during a sequence of images, random field-based methods can be used for efficient classification of facial expressions reaching accuracy (more than 90%) competitive with the best existing methods for facial expression recognition.","PeriodicalId":18535,"journal":{"name":"Micro","volume":"91 1","pages":"000271-000278"},"PeriodicalIF":0.0,"publicationDate":"2022-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80524977","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}

引用次数: 0

Noise-based Logic versus Quantum Supremacy 基于噪声的逻辑与量子霸权

Micro Pub Date : 2022-11-21 DOI: 10.1109/cinti-macro57952.2022.10029509

L. Kish

引用次数: 0

Application of HATEOAS Principle in RESTful API Design HATEOAS原理在RESTful API设计中的应用

Micro Pub Date : 2022-11-21 DOI: 10.1109/CINTI-MACRo57952.2022.10029427

F. Aydemir, F. Basçiftçi

引用次数: 0