International Conference on Complex Information Systems最新文献_第9页

Minimization of Attack Risk with Bayesian Detection Criteria 基于贝叶斯检测准则的攻击风险最小化

International Conference on Complex Information Systems Pub Date : 1900-01-01 DOI: 10.5220/0007656100170026

V. H. Standley, Frank G. Nuño, Jacob W. Sharpe

引用次数: 2

Altered Functional Complexity Associated with Structural Features in Schizophrenic Brain: A Resting-state fMRI Study 与精神分裂症脑结构特征相关的功能复杂性改变:静息状态fMRI研究

International Conference on Complex Information Systems Pub Date : 1900-01-01 DOI: 10.5220/0009572301200128

Yi-Ju Lee, Su‐Yun Huang, S. Tsai, A. Yang

{"title":"Altered Functional Complexity Associated with Structural Features in Schizophrenic Brain: A Resting-state fMRI Study","authors":"Yi-Ju Lee, Su‐Yun Huang, S. Tsai, A. Yang","doi":"10.5220/0009572301200128","DOIUrl":"https://doi.org/10.5220/0009572301200128","url":null,"abstract":": Power law scaling is a well-defined physical concept in complexity science that has been used to quantified the dynamic signals across temporal scales. In this research, we aim to investigate the power law scaling of resting-state fMRI signal in schizophrenic and healthy brain and to examine the potential structural properties that may correlate to the altered functional complexity. Brain imaging data of 200 schizophrenia patients and 200 age and sex-matched healthy Han Chinese was retrieved from Taiwan Aging and Mental Illness cohort. Power law scaling was extracted by Pwelch function. In schizophrenia, six brain regions with abnormal complexity were correlated to the regional structural network of grey matter volume (hub at right superior frontal gyrus) and white matter volume at right superior cerebellar peduncle and splenium of the corpus callosum. Moreover, the identified power law scaling was correlated with clinical symptom severity. Our findings suggest that a loss of scale-free brain signal dynamics affecting by brain morphometries proposed the reduced complex brain activity as one of the neurobiological mechanisms in schizophrenia. This research supports “the loss of brain complexity hypothesis” and “the dysconnectivity hypothesis of schizophrenia.”, laying potential impact in psychiatry.","PeriodicalId":414016,"journal":{"name":"International Conference on Complex Information Systems","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128399377","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

Systematic Review on Cybersecurity Risks and Behaviours: Methodological Approaches 网络安全风险与行为的系统回顾:方法论方法

International Conference on Complex Information Systems Pub Date : 1900-01-01 DOI: 10.5220/0010762600003197

E. Oliveira, Vania Baldi

{"title":"Systematic Review on Cybersecurity Risks and Behaviours: Methodological Approaches","authors":"E. Oliveira, Vania Baldi","doi":"10.5220/0010762600003197","DOIUrl":"https://doi.org/10.5220/0010762600003197","url":null,"abstract":"This paper presents a systematic literature review regarding risk perception and precautionary behaviour related to cybersecurity. Objectives encompassed identifying issues related to methodological approaches, the studies’ operationalisation and other essential topics, highlighting significant gaps to be fulfilled in future investigations. The study included a search in the multidisciplinary databases of Science Direct, Web of Science, and the Scientific Repositories of Open Access in Portugal, focusing on publications after 2016. A total of nine articles were analysed. The review was developed using the Preferred Reporting Items for Systematic Review and Meta-analysis Protocols’ research method. Also, publications were coded using the NVivo 12 software for synthesising the results. The small number of studies considered for analysis revealed that risk perception and precautionary behaviour concerning cybersecurity is still an under-explored study area. Furthermore, methodological gaps are highlighted for future works. Studies in the cybersecurity field provide a dataset for policymakers, directing efforts and predicting responses to digital technologies, making this subject matter highly substantial.","PeriodicalId":414016,"journal":{"name":"International Conference on Complex Information Systems","volume":"122 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131721648","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: 1

Probing Complexity with Epidemics: A New Reactive Immunization Strategy 探究流行病的复杂性:一种新的反应性免疫策略

International Conference on Complex Information Systems Pub Date : 1900-01-01 DOI: 10.5220/0006361301160123

E. Alfinito, M. Beccaria, A. Fachechi, G. Macorini

引用次数: 0

CBR-Mining Approach to Improve Learning System Engineering in a Collaborative E-Learning Platform 基于cbr的协同电子学习平台学习系统工程改进方法

International Conference on Complex Information Systems Pub Date : 1900-01-01 DOI: 10.5220/0006693200940101

Fatima-Zahra Berriche, B. Zeddini, H. Kadima, A. Rivière

引用次数: 1

Bio-backfill: A Scheduling Policy Enhancing the Performance of Bioinformatics Workflows in Shared Clusters 生物回填:一种提高共享集群生物信息学工作流性能的调度策略

International Conference on Complex Information Systems Pub Date : 1900-01-01 DOI: 10.5220/0006812901480156

Ferran Badosa, Antonio Espinosa, Gonzalo Vera, A. Ripoll

{"title":"Bio-backfill: A Scheduling Policy Enhancing the Performance of Bioinformatics Workflows in Shared Clusters","authors":"Ferran Badosa, Antonio Espinosa, Gonzalo Vera, A. Ripoll","doi":"10.5220/0006812901480156","DOIUrl":"https://doi.org/10.5220/0006812901480156","url":null,"abstract":"In this work we present the bio-backfill scheduler, a backfill scheduler for bioinformatics workflows applications running on shared, heterogeneous clusters. Backfill techniques advance low-priority jobs in cluster queues, if doing so doesn’t delay higher-priority jobs. They improve the resource utilization and turnaround achieved with classical policies such as First Come First Served, Longest Job First.. When attempting to implement backfill techniques such as Firstfit or Bestfit on bioinformatics workflows, we have found several issues. Backfill requires runtime predictions, which is particularly difficult for bioinformatics applications. Their performance varies substantially depending on input datasets and the values of its many configuration parameters. Furthermore, backfill approaches are mainly intended to schedule independent, rather than dependent tasks as those forming workflows. Backfilled jobs are chosen upon its number of processors and length runtime, but not by considering the amount of slowdown when the Degree of Multiprogramming of the nodes is greater than 1. To tackle these issues, we developed the bio-backfill scheduler. Based on a predictor generating performance predictions of each job with multiple resources, and a resource-sharing model that minimizes slowdown, we designed a scheduling algorithm capable of backfilling bioinformatics workflows applications. Our experiments show that our proposal can improve average workflow turnaround by roughly 9% by and resource utilization by almost 4%, compared to popular backfill strategies such as Firstfit or BestFit.","PeriodicalId":414016,"journal":{"name":"International Conference on Complex Information Systems","volume":"337 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116469318","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

Modal Mu-calculus Extension with Description of Autonomy and Its Algebraic Structure 具有自治描述的模态mu微积分扩展及其代数结构

International Conference on Complex Information Systems Pub Date : 1900-01-01 DOI: 10.5220/0009322300630071

S. Yamasaki, Mariko Sasakura

引用次数: 1

Attention! Transformer with Sentiment on Cryptocurrencies Price Prediction 注意!变压器对加密货币价格预测的看法

International Conference on Complex Information Systems Pub Date : 1900-01-01 DOI: 10.5220/0011103400003197

Huali Zhao, M. Crane, Marija Bezbradica

{"title":"Attention! Transformer with Sentiment on Cryptocurrencies Price Prediction","authors":"Huali Zhao, M. Crane, Marija Bezbradica","doi":"10.5220/0011103400003197","DOIUrl":"https://doi.org/10.5220/0011103400003197","url":null,"abstract":": Cryptocurrencies have won a lot of attention as an investment tool in recent years. Specific research has been done on cryptocurrencies’ price prediction while the prices surge up. Classic models and recurrent neural networks are applied for the time series forecast. However, there remains limited research on how the Transformer works on forecasting cryptocurrencies price data. This paper investigated the forecasting capability of the Transformer model on Bitcoin (BTC) price data and Ethereum (ETH) price data which are time series with high fluctuation. Long short term memory model (LSTM) is employed for performance comparison. The result shows that LSTM performs better than Transformer both on BTC and ETH price prediction. Furthermore, in this paper, we also investigated if sentiment analysis can help improve the model’s performance in forecasting future prices. Twitter data and Valence Aware Dictionary and sEntiment Reasoner (VADER) is used for getting sentiment scores. The result shows that the sentiment analysis improves the Transformer model’s performance on BTC price but not ETH price. For the LSTM model, the sentiment analysis does not help with prediction results. Finally, this paper also shows that transfer learning can help on improving the Transformer’s prediction ability on ETH price data.","PeriodicalId":414016,"journal":{"name":"International Conference on Complex Information Systems","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123838862","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: 1

Knowledge as a Complex Phenomenon 知识是一种复杂的现象

International Conference on Complex Information Systems Pub Date : 1900-01-01 DOI: 10.5220/0009513201130119

R. Maciąg

引用次数: 0

The Correlation Between Media Consumption and Loneliness: The Case of Young People in Portugal 媒体消费与孤独感的关系:以葡萄牙年轻人为例

International Conference on Complex Information Systems Pub Date : 1900-01-01 DOI: 10.5220/0011970000003485

Catarina Feio, Lídia Oliveira, J. Martins

引用次数: 0