Advances in Complex Systems最新文献_第3页

A Novel Automatic Siamese Neural Network for Hyperspectral Image Classification 一种用于高光谱图像分类的自动暹罗神经网络

4区数学

Advances in Complex Systems Pub Date : 2023-09-29 DOI: 10.1142/s179396232541003x

Yuan Qing

引用次数: 0

A Generalization of Threshold-based and Probability-based Models of Information Diffusion 基于阈值和基于概率的信息扩散模型的推广

IF 0.4 4区数学

Advances in Complex Systems Pub Date : 2023-07-28 DOI: 10.1142/s0219525923500054

Chathura Jayalath, Chathika Gunaratne, W. Rand, Chathurani Seneviratne, I. Garibay

引用次数: 0

Uncertainty Visualization for Characterizing Heterogeneous Human Behaviors in Discrete Dynamical System Models 离散动力系统模型中描述异构人类行为的不确定性可视化

IF 0.4 4区数学

Advances in Complex Systems Pub Date : 2023-07-14 DOI: 10.1142/s0219525923400015

Xueying Liu, Zhihao Hu, Xinwei Deng, C. Kuhlman

引用次数: 0

Crime hotspot emergence in mexico city: a complexity science perspective 墨西哥城犯罪热点的出现:一个复杂科学的视角

IF 0.4 4区数学

Advances in Complex Systems Pub Date : 2023-06-16 DOI: 10.1142/s0219525923500042

D. Hernández, Marco A. Jiménez, J. A. Bautista

引用次数: 0

A Game of Life Shifted toward a Critical Point 一场人生游戏走向了一个临界点

IF 0.4 4区数学

Advances in Complex Systems Pub Date : 2023-06-15 DOI: 10.25088/complexsystems.32.1.57

Tomoko Sakiyama

引用次数: 0

Use of Recurrence Plots to Find Mutations in Deoxyribonucleic Acid Sequences 使用递归图查找脱氧核糖核酸序列的突变

IF 0.4 4区数学

Advances in Complex Systems Pub Date : 2023-06-15 DOI: 10.25088/complexsystems.32.1.89

D. E. Rivas-Cisneros

引用次数: 0

Spatial Scale Effects in COVID-19 Spread Models COVID-19传播模型的空间尺度效应

IF 0.4 4区数学

Advances in Complex Systems Pub Date : 2023-06-15 DOI: 10.25088/complexsystems.32.1.71

Marlon N. Gonzaga, Marcelo Martins de Oliveira, A. A. Faria

{"title":"Spatial Scale Effects in COVID-19 Spread Models","authors":"Marlon N. Gonzaga, Marcelo Martins de Oliveira, A. A. Faria","doi":"10.25088/complexsystems.32.1.71","DOIUrl":"https://doi.org/10.25088/complexsystems.32.1.71","url":null,"abstract":"The COVID-19 pandemic has highlighted epidemiological models as important forecasting methods and planning strategies, with studies conducted using a wide variety of analytical and computational techniques. Knowing that more pandemic episodes may occur, it is essential that epidemiological modeling present increasingly credible results. From this perspective, this paper aims to highlight the influence of spatial distribution on an epidemic dynamic, using agent-based modeling. To calibrate the behavioral profile of the population, data was taken on mobility, population pyramid, individual behavior and government policies of a real population during the pandemic. Two different initial spatial distribution scenarios are tested and the robustness of the infection is analyzed. Totalistic rules were designed to assess the influence of infected individuals in the vicinity of an agent, a factor that must not be ignored in modeling respiratory diseases with viruses capable of spreading by aerosols, such as SARS-CoV-2. It is shown that the scenario with nonuniform distribution of agents is much more robust, generating an epidemic process even when uniform distribution, for the same parameters, did not propagate the infection. Our results also suggest that herd immunity is attained in different levels of recovered individuals, showing higher values in denser regions. In conclusion, it is reinforced that the nonuniform feature of the spatial distribution of individuals plays a key role in the infection dynamics and should receive more attention when building epidemiological models.","PeriodicalId":50871,"journal":{"name":"Advances in Complex Systems","volume":"6 1","pages":"71-87"},"PeriodicalIF":0.4,"publicationDate":"2023-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88926465","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

A lightweight DPT-MAC protocol to increase the network lifetime in wireless body area networks 一种轻量级DPT-MAC协议，用于增加无线体域网络中的网络寿命

4区数学

Advances in Complex Systems Pub Date : 2023-05-13 DOI: 10.1142/s1793962324410113

A. Roshini, K. V. D. Kiran

{"title":"A lightweight DPT-MAC protocol to increase the network lifetime in wireless body area networks","authors":"A. Roshini, K. V. D. Kiran","doi":"10.1142/s1793962324410113","DOIUrl":"https://doi.org/10.1142/s1793962324410113","url":null,"abstract":"Evolution of Wireless sensor networks (WSN) has found its identity in Wireless Body Area Networks (WBAN) to monitor the health status of adults undergone a surgery, etc. In addition, the mobility of the sensor nodes deployed on/in the human body plays a vital role in maintaining the accuracy of the physiological signal. In this paper, a Distributed Posture-based Traffic-Medium Access Control (DPT-MAC) protocol is proposed where the sensor nodes follow the Disc Communication model for the detection of neighbor nodes based on the proximity of the sensing range. Further, the modified IEEE 802.15.4 superframe structure determines the potential sleep posture of a subject to ensure a collision-free data transmission and prioritize the data traffic based on the criticality of the data like critical, periodic and nonregular data. The critical data detection occupies the channel on high priority and will have the probability to access the other channel space during the contention period of the noncritical data. The regular guaranteed time slot (GTS) is reduced from the tradition number of slots to five, which allows the nodes to handle the throughput. This uninterrupted data transmission minimizes the delay rate and collision ratio with any number of sensor nodes as the channel synchronization is strictly followed using the Carrier Sense Multiple Access/Collision Avoidance mechanism. Here, the optimization of the network quality parameters like energy consumption, throughput, delay and collision ratio assures a guaranteed increase in the Network Lifetime. The results show that the distributed topology outperforms the conventional star topology in sustaining the Network Lifetime.","PeriodicalId":50871,"journal":{"name":"Advances in Complex Systems","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135239162","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Bi-Community Detection method based on both intra- and Inter-Correlation: an Applied Research of International Relations 基于内相关与互相关的双社区检测方法:国际关系中的应用研究

IF 0.4 4区数学

Advances in Complex Systems Pub Date : 2023-04-21 DOI: 10.1142/s0219525923500029

C. Zhang, Boyu Chen, Wenlian Lu

引用次数: 0

Is Disruption Decreasing, or is it Accelerating? 颠覆性变革是在减少还是在加速?

4区数学

Advances in Complex Systems Pub Date : 2023-03-01 DOI: 10.1142/s0219525923500066

R. Alexander Bentley, Sergi Valverde, Joshua Borycz, Blai Vidiella, Benjamin D. Horne, Salva Duran-Nebreda, Michael J. O'Brien

{"title":"Is Disruption Decreasing, or is it Accelerating?","authors":"R. Alexander Bentley, Sergi Valverde, Joshua Borycz, Blai Vidiella, Benjamin D. Horne, Salva Duran-Nebreda, Michael J. O'Brien","doi":"10.1142/s0219525923500066","DOIUrl":"https://doi.org/10.1142/s0219525923500066","url":null,"abstract":"A recent highly publicized study [Park, M., Leahey, E. and Funk, R. J., Papers and patents are becoming less disruptive over time, Nature 613 (2023) 138–144] claiming that science has become less disruptive over recent decades represents an extraordinary achievement but with deceptive results. The measure of disruption, CD 5 , in this study does not account for differences in citation amid decades of exponential growth in publication rate. In order to account for both the exponential growth as well as the differential impact of research works over time, here we apply a weighted disruption index to the same dataset. We find that, among research papers in the dataset, this weighted disruption index has been close to its expected neutral value over the last fifty years and has even increased modestly since 2000. We also show how the proportional decrease in unique words is expected in an exponentially growing corpus. Finding little evidence for recent decrease in disruption, we suggest that it is actually increasing. Future research should investigate improved definitions of disruption.","PeriodicalId":50871,"journal":{"name":"Advances in Complex Systems","volume":"120 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135529141","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0