2018 IEEE Symposium Series on Computational Intelligence (SSCI)最新文献_第3页

Maximum Margin Minimum Variance Twin Support Vector Machine 最大边际最小方差双支持向量机

2018 IEEE Symposium Series on Computational Intelligence (SSCI) Pub Date : 2018-11-01 DOI: 10.1109/SSCI.2018.8628859

Sweta Sharma, R. Rastogi

引用次数: 0

Particle Swarm optimization Describes Ant Nest Move at Low Participation Rate 粒子群算法描述低参与率下蚁巢移动

2018 IEEE Symposium Series on Computational Intelligence (SSCI) Pub Date : 2018-11-01 DOI: 10.1109/SSCI.2018.8628714

H. Sasaki

{"title":"Particle Swarm optimization Describes Ant Nest Move at Low Participation Rate","authors":"H. Sasaki","doi":"10.1109/SSCI.2018.8628714","DOIUrl":"https://doi.org/10.1109/SSCI.2018.8628714","url":null,"abstract":"Ants move from an old nest to a new nest within a short period of time. Contrary to popular belief that ants are workaholics, only 58.0% at best and 31.0% at worst of population of an ant colony work in their nest move. This ant nest move that is smoother and swifter than any other animals has attracted researchers and many models and simulations have been introduced into the computational intelligence community. However, researchers have not solved an open problem that is whether such low participation rates of active ants improve or deteriorate ant nest move. A positive answer to the problem would provide a technological inspiration for proposing a promising swarm-based algorithm in the context of computational intelligence and specific aspects of swarm intelligence in focus on participation rates of agents. In this study, we use an algorithm which is based on particle swarm optimization (PSO) and simulate real-world ant nest move. The simulation results of our PSO-based algorithm have shown that performance at the low participation rates 15%, 30%, 35%, 40%, 45%, 55%, and 60%is better and faster than performance at the full active population rate 100%. Our simulation results are supported by three field researches which were carried by external ant experts.","PeriodicalId":235735,"journal":{"name":"2018 IEEE Symposium Series on Computational Intelligence (SSCI)","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122240072","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

Active Portfolio Rebalancing using Multi-objective Metaheuristics 基于多目标元启发式的主动投资组合再平衡

2018 IEEE Symposium Series on Computational Intelligence (SSCI) Pub Date : 2018-11-01 DOI: 10.1109/SSCI.2018.8628875

G. Pai

{"title":"Active Portfolio Rebalancing using Multi-objective Metaheuristics","authors":"G. Pai","doi":"10.1109/SSCI.2018.8628875","DOIUrl":"https://doi.org/10.1109/SSCI.2018.8628875","url":null,"abstract":"Active Portfolio Rebalancing deals with devising a new asset allocation by buying and selling portions of the original portfolio invested in, as and when the need arises, so that the risk of the rebalanced portfolio reverts back to its original state. However, the problem of finding the optimal buy-sell weights to rebalance the portfolio can turn complex when the original portfolio invested in was already governed by multiple objectives and complex constraints defined by the investor, and the rebalancing of the portfolio adds more constraints and (or) objectives to the problem model.This paper discusses such an Active Portfolio Rebalancing model to obtain the optimal rebalanced portfolio, with the multi-objectives of maximizing its Diversification Ratio and its Expected Portfolio Return, subject to the non-linear constraints of Risk Budgeting and other investor preferential constraints stipulated for the original portfolio, besides the additional constraints involving transaction costs for rebalancing and the rebalanced portfolio risk. The portfolio rebalancing model, which is a multi-objective non-convex non-linear constrained fractional programming problem, turns difficult for direct solving using traditional methods and hence employs Multi-objective Metaheuristics to arrive at the optimal weights of assets to buy-sell to rebalance the portfolio. The experimental studies have been undertaken over high risk long-only equity portfolios of SP BSE 200 Index (Bombay Stock Exchange, India Period: March 1999-March 2009) and Nikkei 225 Index (Tokyo Stock Exchange, Japan, Period: March 1999-March 2009) over historical periods that included both upturns and downturns in the markets.","PeriodicalId":235735,"journal":{"name":"2018 IEEE Symposium Series on Computational Intelligence (SSCI)","volume":"96 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127994222","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: 4

Human Pose Estimation in Real Traffic Scenes 真实交通场景中的人体姿态估计

2018 IEEE Symposium Series on Computational Intelligence (SSCI) Pub Date : 2018-11-01 DOI: 10.1109/SSCI.2018.8628660

Viktor Kress, Janis Jung, Stefan Zernetsch, Konrad Doll, B. Sick

{"title":"Human Pose Estimation in Real Traffic Scenes","authors":"Viktor Kress, Janis Jung, Stefan Zernetsch, Konrad Doll, B. Sick","doi":"10.1109/SSCI.2018.8628660","DOIUrl":"https://doi.org/10.1109/SSCI.2018.8628660","url":null,"abstract":"This work evaluates human pose estimation from a moving vehicle for use in road traffic applications such as automated or autonomous driving. The lack of annotated human pose datasets is a challenge for research on autonomous driving with sufficient safety for pedestrians and cyclists. Hence, a dedicated dataset was created, which was recorded in real traffic and contains both pedestrians and cyclists. The dataset represents diverse conditions in road traffic and different appearances of people and allows for a realistic evaluation of the performance of human pose estimation. In order to obtain ground truth, the data were labeled manually and $3D$ poses were measured by means of an intersection equipped with a wide angle stereo camera system. One recent method for $2D$ pose estimation and another approach for $3D$ pose estimation from literature are investigated. As shown by this research, $2D$ poses estimated in traffic scenes achieve a similar accuracy as state-of-the-art results obtained on other datasets. Moreover, $3D$ pose estimation based on single images outperforms a naive distance measurement of individual joints in disparity maps obtained by a stereo camera and the reached accuracy suggests that the use of $3D$ pose estimation for intention detection and trajectory forecast is feasible. Overall, a dependency of the results on the distance of the respective person and less reliable results for cyclists compared to pedestrians were observed.","PeriodicalId":235735,"journal":{"name":"2018 IEEE Symposium Series on Computational Intelligence (SSCI)","volume":"13 11","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113935687","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: 10

Scalable Bio-inspired Fault Detection, Isolation and Recovery in NoCs noc中可扩展的生物故障检测、隔离和恢复

2018 IEEE Symposium Series on Computational Intelligence (SSCI) Pub Date : 2018-11-01 DOI: 10.1109/SSCI.2018.8628839

Malachy McElholm, J. Harkin, Junxiu Liu, L. McDaid

引用次数: 0

An Experience with Multi-sensor Robot for Adaptive Human Sensing 多传感器机器人的自适应人体感知经验

2018 IEEE Symposium Series on Computational Intelligence (SSCI) Pub Date : 2018-11-01 DOI: 10.1109/SSCI.2018.8628666

Sonia, Prateek Vij, R. Baruah

{"title":"An Experience with Multi-sensor Robot for Adaptive Human Sensing","authors":"Sonia, Prateek Vij, R. Baruah","doi":"10.1109/SSCI.2018.8628666","DOIUrl":"https://doi.org/10.1109/SSCI.2018.8628666","url":null,"abstract":"Human sensing is vital to multiple applications such as smart homes, assisted living, traffic control, serving robot, rescue operations, etc. For healthy growing, robots are designed for human beings for various purposes such as assisted living, to have a conversation with individuals to avoid depression, a service robot, etc. Since the robot(s) have to work in the close vicinity of humans, it is necessary for the robot(s) to sense the human presence adaptively with the change in environment and also localize itself in an indoor scenario where GPS fails to work. In this paper, we propose a solution based on Analog Ultrasonic Sensor (AUS), Passive Infrared (PIR) sensor, and RGB camera where a robot (on which sensors are mounted) can adapt with changing the environment to sense human presence. Also, the robot can make a decision which sensor to be ruled out from decision making for a particular environment and can localize itself with the help of sonar data in an indoor scenario. Experiments are carried out to apprehend the proposed method in different environments, and results show the efficacy of the proposed method. We have also emphasized on the lessons learned and difficulties faced during the implementation of the adaptive human sensing and localization.","PeriodicalId":235735,"journal":{"name":"2018 IEEE Symposium Series on Computational Intelligence (SSCI)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131247449","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

On the Performance Significance of Boundary Strategies for Firefly Algorithm 边界策略对萤火虫算法性能的意义

2018 IEEE Symposium Series on Computational Intelligence (SSCI) Pub Date : 2018-11-01 DOI: 10.1109/SSCI.2018.8628643

T. Kadavy, Michal Pluhacek, R. Šenkeřík, Adam Viktorin

引用次数: 0

Authorship Attribution via Evolutionary Hybridization of Sentiment Analysis, LIWC, and Topic Modeling Features 基于情感分析、LIWC和主题建模特征的作者归属进化杂交

2018 IEEE Symposium Series on Computational Intelligence (SSCI) Pub Date : 2018-11-01 DOI: 10.1109/SSCI.2018.8628647

Joshua Gaston, Mina Narayanan, G. Dozier, D. Cothran, Clarissa Arms-Chavez, Marcia Rossi, Michael C. King, Jinsheng Xu

引用次数: 5

An Open-Source Limit-Order-Book Exchange for Teaching and Research 一种用于教学与研究的开源限序书交换

2018 IEEE Symposium Series on Computational Intelligence (SSCI) Pub Date : 2018-11-01 DOI: 10.1109/SSCI.2018.8628760

D. Cliff

{"title":"An Open-Source Limit-Order-Book Exchange for Teaching and Research","authors":"D. Cliff","doi":"10.1109/SSCI.2018.8628760","DOIUrl":"https://doi.org/10.1109/SSCI.2018.8628760","url":null,"abstract":"Many of the world’s major financial markets are electronic, in the sense that all communication among traders and internal record-keeping at exchanges is entirely mediated and executed by digital computer systems and associated communications networks; and many such markets are also highly automated, in the sense that they are heavily populated by automatic algorithmic trading system which have largely replaced human traders at the point of execution in many spot markets. This has created significant demand for people skilled in writing and managing algorithmic trading systems. To provide a complete education and training in this field it is highly desirable to allow students/trainees to study the operation of their own algorithmic trading systems running live on a real financial exchange, interacting dynamically with other automated traders. This paper describes the Bristol Stock Exchange (BSE), a simulator designed and developed to meet that need. BSE provides a full implementation of the Limit Order Book (LOB) at the heart of modern financial exchanges, and includes reference implementations of several well-known leading algorithmic trading systems. BSE allows users to submit a variety of order-types including market, limit, fill-or-kill, time-to-live, immediate-or-cancel, iceberg; orders for specific actions at market-open and market-close; and linked pairs of contingent orders. BSE can be configured to allow empirical studies of issues in order routing between multiple exchanges and the performance of cross-market arbitrage trading algorithms. BSE also has provision for varying the exchange’s fee structure, including implementing maker-taker and taker-maker pricing models, The Python source-code for BSE, which has been under ongoing development and extension since 2012, along with extensive documentation, is freely available on the GitHub online public repository, and can be used as a public-domain platform for teaching and research.","PeriodicalId":235735,"journal":{"name":"2018 IEEE Symposium Series on Computational Intelligence (SSCI)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115757339","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: 14

A Flexibility Home Energy Management System to Support Agreggator Requests in Smart Grids 一个灵活的家庭能源管理系统，以支持智能电网中的聚合器请求

2018 IEEE Symposium Series on Computational Intelligence (SSCI) Pub Date : 2018-11-01 DOI: 10.1109/SSCI.2018.8628918

T. Sousa, F. Lezama, J. Soares, S. Ramos, Z. Vale

{"title":"A Flexibility Home Energy Management System to Support Agreggator Requests in Smart Grids","authors":"T. Sousa, F. Lezama, J. Soares, S. Ramos, Z. Vale","doi":"10.1109/SSCI.2018.8628918","DOIUrl":"https://doi.org/10.1109/SSCI.2018.8628918","url":null,"abstract":"Energy flexibility will play a key role in the proper functioning of energy systems, introducing a set of benefits to all involved stakeholders and changing the shape of electricity markets as we know them. It is expected that new players with different interests will emerge in this context. Particularly, the aggregators might allow end-users to be aware of their consumption flexibility value, or merely facilitate consumer’s participation, for instance through the use of demand response. To this end, a prompt system response allowing the interaction between aggregators and residential users is needed. Therefore, the so-called Home Energy Management System (HEMS) becomes an active tool to communicate end-users with aggregators, performing the necessary changes in the consumption profiles in benefit of all involved parts. In this paper, a model with the objective of achieving a match between the flexibility required by an aggregator and the flexibility offered by residential users through the HEMS capability of shifting specific appliances is proposed. The model is then solved using a well-known swarm intelligence algorithm, the particle swarm optimization (PSO). An illustrative example of how the model is optimized using PSO, re-scheduling appliances to meet a flexibility curve, is presented. After that, a case study with 15 appliances based on real profiles of home devices is solved showing the effectiveness of the proposed approach to procure flexibility.","PeriodicalId":235735,"journal":{"name":"2018 IEEE Symposium Series on Computational Intelligence (SSCI)","volume":"138 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123908580","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: 8