2021 55th Annual Conference on Information Sciences and Systems (CISS)最新文献

CYBEX Information Sharing Game with Objective and Subjective Players 主客观玩家的CYBEX信息共享游戏

2021 55th Annual Conference on Information Sciences and Systems (CISS) Pub Date : 2021-03-24 DOI: 10.1109/CISS50987.2021.9400303

Ahmed A. Alabdel Abass, N. Mandayam, Z. Gajic

{"title":"CYBEX Information Sharing Game with Objective and Subjective Players","authors":"Ahmed A. Alabdel Abass, N. Mandayam, Z. Gajic","doi":"10.1109/CISS50987.2021.9400303","DOIUrl":"https://doi.org/10.1109/CISS50987.2021.9400303","url":null,"abstract":"We model an information sharing game among firms as an evolutionary game on a graph under the condition that players perception of uncertainty and decision making can follow either an objective expected utility theory (EUT) model or a subjective prospect theory (PT) model. Each player chooses one of two strategies with probabilities $x$ and $1-x$, where the subjective players bias their choices of the probabilities to be $w(x)$ and $w(1-x)$ to reflect the probability weighting effect of PT. We find that players' behavior is affected by the total number of players and the number of each type of player (objective or subjective). We show that increasing the number of participating firms encourages the information sharing strategy and the behavior becomes similar for both types of players. Subjective players' are affected more by increasing the number of participating firms (the number of players). As a result, subjective players are more likely to cooperate by sharing information and paying the costs of this sharing than objective players. We derive the conditions to achieve a locally asymptotically stable Nash equilibrium (NE) and the necessary conditions to achieve an evolutionary stable strategy (ESS).","PeriodicalId":228112,"journal":{"name":"2021 55th Annual Conference on Information Sciences and Systems (CISS)","volume":"236 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123039248","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

On Stability of Automatic Generation Control 自动发电控制的稳定性研究

2021 55th Annual Conference on Information Sciences and Systems (CISS) Pub Date : 2021-03-24 DOI: 10.1109/CISS50987.2021.9400296

J. Simpson-Porco, N. Monshizadeh

引用次数: 0

Connection of Diagonal Hessian Estimates to Natural Gradients in Stochastic Optimization 随机优化中自然梯度与对角黑森估计的联系

2021 55th Annual Conference on Information Sciences and Systems (CISS) Pub Date : 2021-03-24 DOI: 10.1109/CISS50987.2021.9400243

Shiqing Sun, J. Spall

{"title":"Connection of Diagonal Hessian Estimates to Natural Gradients in Stochastic Optimization","authors":"Shiqing Sun, J. Spall","doi":"10.1109/CISS50987.2021.9400243","DOIUrl":"https://doi.org/10.1109/CISS50987.2021.9400243","url":null,"abstract":"With massive resurgence of artificial intelligence, statistical learning theory and information science, the core technology of AI, are getting growing attention. To deal with massive data, efficient learning algorithms are required in statistical learning. In deep learning, natural gradient algorithms, such as AdaGrad and Adam, are widely used, motivated by the idea of Newton's approach that applies second-order derivatives to rescale gradients. By approximating the second-order geometry of the empirical loss with the empirical Fisher information matrix (FIM), natural gradient methods are expected to obtain extra efficiency of learning. However, the exact curvature of the empirical loss is described by the Hessian matrix, not the FIM, and biases between the empirical FIM and the Hessian always exist before convergence, which will affect the expected efficiency. In this paper, we present a new stochastic optimization algorithm, diagSG (diagonal Hessian stochastic gradient), in the setting of deep learning. As a second-order algorithm, diagSG estimates the diagonal entries of the Hessian matrix at each iteration through simultaneous perturbation stochastic approximation (SPSA) and applies the diagonal entries for the adaptive learning rate in optimization. By comparing the rescaling matrices in diagSG and in natural gradient methods, we argue that diagSG possess advantages in characterizing loss curvature with better approximation of Hessian diagonals. In practical part, we provide a experiment to endorse our argument.","PeriodicalId":228112,"journal":{"name":"2021 55th Annual Conference on Information Sciences and Systems (CISS)","volume":"12 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126867017","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

Bayesian Optimization and Gradient Boosting to Detect Phishing Websites 基于贝叶斯优化和梯度增强的钓鱼网站检测

2021 55th Annual Conference on Information Sciences and Systems (CISS) Pub Date : 2021-03-24 DOI: 10.1109/CISS50987.2021.9400317

Rakesh Pavan, Madhumitha Nara, S. Gopinath, Nagamma Patil

引用次数: 2

Multi-labelled Ocular Disease Diagnosis Enforcing Transfer Learning 多标签眼病诊断强化迁移学习

2021 55th Annual Conference on Information Sciences and Systems (CISS) Pub Date : 2021-03-24 DOI: 10.1109/CISS50987.2021.9400227

Vinay Nair, Savani Suranglikar, Sourabh Deshmukh, Yashraj Gavhane

{"title":"Multi-labelled Ocular Disease Diagnosis Enforcing Transfer Learning","authors":"Vinay Nair, Savani Suranglikar, Sourabh Deshmukh, Yashraj Gavhane","doi":"10.1109/CISS50987.2021.9400227","DOIUrl":"https://doi.org/10.1109/CISS50987.2021.9400227","url":null,"abstract":"The leading causes of vision impairment in the working age population today are primarily diseases such as glaucoma, diabetes, etc. Health camps and public health agencies working towards improving eye health among masses engage in activities which require diagnosis on a large scale. This project is aimed at assisting such agencies in effective early diagnosis of these eye diseases by utilizing multi-label CNN-based rapid automated systems to analyze coloured fundus images, thereby mitigating the tedious manual effort associated with clinical diagnosis. Coloured fundus photographs of patients were screened, subjected to various pre-processing techniques - Concatenation, Contrast Limited Adaptive Histogram Equalization and Augmentation; and further classified into 7 labels - Normal, Diabetes, Glaucoma, Cataract, Age related Macular Degeneration, Hypertensive Retinopathy and Pathological Myopia by applying transfer learning using highly effective networks such as VGG-16, InceptionV3 and ResNet50. Performance of each model was evaluated against the Hamming Loss metric. Observed results suggest a significant role of these systems in clinical diagnosis.","PeriodicalId":228112,"journal":{"name":"2021 55th Annual Conference on Information Sciences and Systems (CISS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129867458","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

Control of Stacked Power Electronics Systems 堆叠电力电子系统的控制

2021 55th Annual Conference on Information Sciences and Systems (CISS) Pub Date : 2021-03-24 DOI: 10.1109/CISS50987.2021.9400244

Brian B. Johnson

{"title":"Control of Stacked Power Electronics Systems","authors":"Brian B. Johnson","doi":"10.1109/CISS50987.2021.9400244","DOIUrl":"https://doi.org/10.1109/CISS50987.2021.9400244","url":null,"abstract":"Series-connected power electronics converters are commonly used in applications where low-distortion multilevel waveforms are needed or the overall system voltage exceeds the ratings of the individual converter. Two notable use-cases are modular multilevel converters and solid-state medium-voltage transformers. In such systems, control is traditionally tackled via a centralized controller that communicates with each converter in the stack. Given the large number of converters in such a system, these approaches entail significant complexity and communication limits resilience to failures. In this paper, we introduce distributed controllers that can be executed on each converter and can be used to address challenges for both distortion mitigation and power-sharing among the converter stack. The first controller we consider operates at the switching timescale and utilizes a sample-and-hold operation and a basic proportional controller that yields automatic distortion minimization. Analysis demonstrates robustness from to limited sensor bandwidth and other practical issues. The second controller considered here is designed for decentralized synchronization and power sharing among the cascaded converters. This architecture allows for each unit in the stack to process non-uniform power if necessary and deliver power into a medium-voltage grid a near-unity power factor. After covering relevant models for both controllers, we conclude with experimental results.","PeriodicalId":228112,"journal":{"name":"2021 55th Annual Conference on Information Sciences and Systems (CISS)","volume":"70 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126837891","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

Mechanism Design for Large Scale Network Utility Maximization 大规模网络效用最大化机制设计

2021 55th Annual Conference on Information Sciences and Systems (CISS) Pub Date : 2021-03-24 DOI: 10.1109/CISS50987.2021.9400216

Meng Zhang, Deepanshu Vasal

引用次数: 0

Risk-Sensitive Optimization And Pricing For The Modern Power Grid 现代电网风险敏感优化与定价

2021 55th Annual Conference on Information Sciences and Systems (CISS) Pub Date : 2021-03-24 DOI: 10.1109/CISS50987.2021.9400238

S. Bose, Mariola Ndrio, Avinash N. Madavan, L. Tong, Ye Guo

引用次数: 1

Launch Vehicle Control Design Using Sliding Mode Control Toolbox 基于滑模控制工具箱的运载火箭控制设计

2021 55th Annual Conference on Information Sciences and Systems (CISS) Pub Date : 2021-03-24 DOI: 10.1109/CISS50987.2021.9400301

S. Kode, Y. Shtessel

引用次数: 1

An Unsupervised Learning Approach for In-Vehicle Network Intrusion Detection 一种车载网络入侵检测的无监督学习方法

2021 55th Annual Conference on Information Sciences and Systems (CISS) Pub Date : 2021-03-24 DOI: 10.1109/CISS50987.2021.9400233

Nandi O. Leslie

引用次数: 7