2016 IEEE Symposium Series on Computational Intelligence (SSCI)最新文献

Evolutionary dynamic optimisation of airport security lane schedules 机场安检通道调度的演化动态优化

2016 IEEE Symposium Series on Computational Intelligence (SSCI) Pub Date : 2017-11-01 DOI: 10.1109/SSCI.2017.8285177

D. Chitty, Shengxiang Yang, M. Gongora

引用次数: 3

Variable Neighbourhood Search: A case study for a highly-constrained workforce scheduling problem 可变邻域搜索:一个高约束劳动力调度问题的案例研究

2016 IEEE Symposium Series on Computational Intelligence (SSCI) Pub Date : 2016-12-31 DOI: 10.1109/SSCI.2016.7850087

Kenneth N. Reid, Jingpeng Li, J. Swan, A. McCormick, G. Owusu

引用次数: 7

Spaceplane trajectory optimisation with evolutionary-based initialisation 基于演化初始化的空天飞机轨迹优化

2016 IEEE Symposium Series on Computational Intelligence (SSCI) Pub Date : 2016-12-09 DOI: 10.1109/SSCI.2016.7850109

C. Maddock, E. Minisci

{"title":"Spaceplane trajectory optimisation with evolutionary-based initialisation","authors":"C. Maddock, E. Minisci","doi":"10.1109/SSCI.2016.7850109","DOIUrl":"https://doi.org/10.1109/SSCI.2016.7850109","url":null,"abstract":"In this paper, an evolutionary-based initialisation method is proposed based on Adaptive Inflationary Differential Evolution algorithm, which is used in conjunction with a deterministic local optimisation algorithm to efficiently identify clusters of optimal solutions. The approach is applied to an ascent trajectory for a single stage to orbit spaceplane, employing a rocket-based combine cycle propulsion system. The problem is decomposed first into flight phases, based on user defined criteria such as a propulsion cycle change translating to different mathematical system models, and subsequently transcribed into a multi-shooting NLP problem. Examining the results based on 10 independent runs of the approach, it can be seen that in all cases the method converges to clusters of feasible solutions. In 40% of the cases, the AIDEA-based initialisation found a better solution compared to a heuristic approach using constant control for each phase with a single shooting transcription (representing an expert user). The problem was run using randomly generated control laws, only 2/20 cases converged, both times with a less optimal solution compared to the baseline heuristic approach and AIDEA.","PeriodicalId":120288,"journal":{"name":"2016 IEEE Symposium Series on Computational Intelligence (SSCI)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2016-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123671733","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: 3

A dynamic truck dispatching problem in marine container terminal 海运集装箱码头车辆动态调度问题

2016 IEEE Symposium Series on Computational Intelligence (SSCI) Pub Date : 2016-12-09 DOI: 10.1109/SSCI.2016.7850081

Jianjun Chen, Ruibin Bai, Haibo Dong, R. Qu, G. Kendall

引用次数: 5

Local modes-based free-shape data partitioning 基于局部模式的自由形状数据分区

2016 IEEE Symposium Series on Computational Intelligence (SSCI) Pub Date : 2016-12-09 DOI: 10.1109/SSCI.2016.7850117

P. Angelov, Xiaowei Gu

引用次数: 1

Fabricating millifluidic reaction-diffusion devices: Droplet-in-oil networks structured by laser cutting

2016 IEEE Symposium Series on Computational Intelligence (SSCI) Pub Date : 2016-12-08 DOI: 10.1109/SSCI.2016.7850158

Kai-Ming Chang, M. D. Planque, K. Zauner

{"title":"Fabricating millifluidic reaction-diffusion devices: Droplet-in-oil networks structured by laser cutting","authors":"Kai-Ming Chang, M. D. Planque, K. Zauner","doi":"10.1109/SSCI.2016.7850158","DOIUrl":"https://doi.org/10.1109/SSCI.2016.7850158","url":null,"abstract":"All known forms of life utilise information processing to maintain their complex organisation. In contrast to conventional information technology built on solid-state semiconductor devices, biological information processing is built on transformations through chemical reactions and interactions mediated by diffusion. The theoretical understanding of reaction-diffusion computing as well as prototype implementations have progressed in parallel over the past decades. We report here on a technique for studying spatially structured networks in which chemicals are compartmentalised as droplets-in-oil and laser-cut topologies impose spatial structure. Experiments with halogen displacement reactions demonstrate that the feature size achievable with laser cutting is well suited to practical diffusion time scales. Further advantages of the technique are the optical accessibility, enabling readout from bromine and iodine production, diffusion and indicator reactions, and the good chemical compatibility between the compartmentalisation medium (oil) and the structuring medium (PMMA), while the fast turn-around times enable rapid topology optimisation.","PeriodicalId":120288,"journal":{"name":"2016 IEEE Symposium Series on Computational Intelligence (SSCI)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2016-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122415856","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: 2

Extending the feature set of a data-driven artificial neural network model of pricing financial options 扩展了金融期权定价的数据驱动人工神经网络模型的特征集

2016 IEEE Symposium Series on Computational Intelligence (SSCI) Pub Date : 2016-12-08 DOI: 10.1109/SSCI.2016.7850014

Luis Montesdeoca, M. Niranjan

引用次数: 12

A comparative study of different fuzzy classifiers for Cloud Intrusion Detection Systems' alerts 不同模糊分类器在云入侵检测系统报警中的比较研究

2016 IEEE Symposium Series on Computational Intelligence (SSCI) Pub Date : 2016-12-07 DOI: 10.1109/SSCI.2016.7849911

Saeed M. Alqahtani, R. John

{"title":"A comparative study of different fuzzy classifiers for Cloud Intrusion Detection Systems' alerts","authors":"Saeed M. Alqahtani, R. John","doi":"10.1109/SSCI.2016.7849911","DOIUrl":"https://doi.org/10.1109/SSCI.2016.7849911","url":null,"abstract":"The use of Internet has been increasing day by day and the internet traffic is exponentially increasing. The services providers such as web services providers, email services providers, and cloud service providers have to deal with millions of users per second; and thus, the level of threats to their growing networks is also very high. To deal with this much number of users is a big challenge but detection and prevention of such kinds of threats is even more challenging and vital. This is due to the fact that those threats might cause a severe loss to the service providers in terms of privacy leakage or unavailability of the services to the users. To incorporate this issue, several Intrusion Detections Systems (IDS) have been developed that differ in their detection capabilities, performance and accuracy. In this study, we have used SNORT and SURICATA as well-known IDS systems that are used worldwide. The aim of this paper is to analytically compare the functionality, working and the capability of these two IDS systems in order to detect the intrusions and different kinds of cyber-attacks within MyCloud network. Furthermore, this study also proposes a Fuzzy-Logic engine based on these two IDSs in order to enhances the performance and accuracy of these two systems in terms of increased accuracy, specificity, sensitivity and reduced false alarms. Several experiments in this compatrative study have been conducted by using and testing ISCX dataset, which results that fuzzy logic based IDS outperforms IDS alone whereas FL-SnortIDS system outperforms FL-SuricataIDS.","PeriodicalId":120288,"journal":{"name":"2016 IEEE Symposium Series on Computational Intelligence (SSCI)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2016-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132405384","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: 7

Hybrid system to analyze user's behaviour 混合系统分析用户行为

2016 IEEE Symposium Series on Computational Intelligence (SSCI) Pub Date : 2016-12-06 DOI: 10.1109/SSCI.2016.7849857

Valérian Guivarch, J. F. D. Paz, Gabriel Villarrubia, J. Bajo, A. Péninou, Valérie Camps

引用次数: 2

pyDVS: An extensible, real-time Dynamic Vision Sensor emulator using off-the-shelf hardware pyDVS:一个可扩展的实时动态视觉传感器模拟器，使用现成的硬件

2016 IEEE Symposium Series on Computational Intelligence (SSCI) Pub Date : 2016-12-06 DOI: 10.1109/SSCI.2016.7850249

Garibaldi Pineda Garcia, Patrick Camilleri, Qian Liu, S. Furber

{"title":"pyDVS: An extensible, real-time Dynamic Vision Sensor emulator using off-the-shelf hardware","authors":"Garibaldi Pineda Garcia, Patrick Camilleri, Qian Liu, S. Furber","doi":"10.1109/SSCI.2016.7850249","DOIUrl":"https://doi.org/10.1109/SSCI.2016.7850249","url":null,"abstract":"Vision is one of our most important senses, a vast amount of information is perceived through our eyes. Neuroscientists have performed many studies using vision as input to their experiments. Computational neuroscientists have typically used a brightness-to-rate encoding to use images as spike-based visual sources for its natural mapping. Recently, neuromorphic Dynamic Vision Sensors (DVSs) were developed and, while they have excellent capabilities, they remain scarce and relatively expensive. We propose a visual input system inspired by the behaviour of a DVS but using a conventional digital camera as a sensor and a PC to encode the images. By using readily-available components, we believe most scientists would have access to a realistic spiking visual input source. While our primary goal is to provide systems with a live real-time input, we have also been successful in transcoding well established image and video databases into spike train representations. Our main contribution is a DVS emulator framework which can be extended, as we demonstrate by adding local inhibitory behaviour, adaptive thresholds and spike-timing encoding.","PeriodicalId":120288,"journal":{"name":"2016 IEEE Symposium Series on Computational Intelligence (SSCI)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2016-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115650389","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: 25