{"title":"DEVS Modeling and Simulation of Financial Leverage Effect Based on Markov Decision Process","authors":"E. Barbieri, L. Capocchi, J. Santucci","doi":"10.1109/UV.2018.8642121","DOIUrl":"https://doi.org/10.1109/UV.2018.8642121","url":null,"abstract":"Decision making during a financial asset optimization process leading to a potential leverage effect is a major issue in the management of an investment program such as European development programs. Modeling and simulation based on reinforcement learning can propose a decision-making policy in this kind of process. This paper presents a DEVS discrete-event modeling and simulation approach from Markov decision-making processes applied to the search for maximum leverage on self-financing capabilities in grant application instruction phase. The application of the approach presented in this paper is made on the search for the leverage effect linked to the price volatility of the main stock market indices (CAC40, NasDaq, etc.).","PeriodicalId":110658,"journal":{"name":"2018 4th International Conference on Universal Village (UV)","volume":"128 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128209668","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}
Adam Ghandar, G. Theodoropoulos, Bowen Zheng, Shijie Chen, Yue Gong, Miner Zhong
{"title":"A Dynamic Data Driven Application System to Manage Urban Agricultural Ecosystems in Smart Cities","authors":"Adam Ghandar, G. Theodoropoulos, Bowen Zheng, Shijie Chen, Yue Gong, Miner Zhong","doi":"10.1109/UV.2018.8642114","DOIUrl":"https://doi.org/10.1109/UV.2018.8642114","url":null,"abstract":"The world is currently facing significant challenges in feeding a growing population with declining resources. Urban agriculture and vertical farming have the potential to provide a revolutionary new food supply and distribution network capable of feeding large populations in the 21st Century; as well as increase quality and reduce negative impacts on the natural environment. The concept has attracted a lot of attention from governments and business throughout the world recently. This paper describes a framework for applying technologies from Agent Based Models, Simulation and Computational Intelligence to analyze, optimize and manage “ecosystems” for urban agriculture and vertical farming for food production from the perspective of stakeholders including consumers, producers, and policy makers.","PeriodicalId":110658,"journal":{"name":"2018 4th International Conference on Universal Village (UV)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130037921","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}
S. Unnikrishnan, J. Donovan, Russell Macpherson, D. Tormey
{"title":"Machine vision for the quality assessment of emulsions in pharmaceutical processing","authors":"S. Unnikrishnan, J. Donovan, Russell Macpherson, D. Tormey","doi":"10.1109/UV.2018.8642158","DOIUrl":"https://doi.org/10.1109/UV.2018.8642158","url":null,"abstract":"Emulsion quality evaluation using machine vision techniques depends on the efficiency of the image segmentation algorithms. Two different machine vision techniques are investigated to determine their competency in detecting droplets from in-process microscopic images of a cream emulsion. Histogram-based segmentation shows promising potential compared to edge and symmetry detection. A statistical study of the droplet characteristics was conducted. The results demonstrate that the histogram-based approach is more proficient in the progressive analysis of droplet evolution during emulsification. A real-time integration of the technique is proposed, as a soft sensor, to predict the optimum process time and to increase manufacturing efficiency in chemical industries.","PeriodicalId":110658,"journal":{"name":"2018 4th International Conference on Universal Village (UV)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130348183","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}
{"title":"A Survey on the Status of Open Data and Its Future","authors":"Xiushi Wang, Yajun Fang, Yang Liu, B. Horn","doi":"10.1109/UV.2018.8642128","DOIUrl":"https://doi.org/10.1109/UV.2018.8642128","url":null,"abstract":"This survey paper looks at the open data, which is one of the most important elements of developing smart city and universal village. This paper focuses on the relationship between open data and smart city and the evaluation of open data projects. It describes the reason why data needs to be opened up, how open data should be evaluated, the current status of open data projects, and the challenges the open data developers are facing. Besides, the paper introduces the open data platform of the United Kingdom as a case study to explain open data project in the end.","PeriodicalId":110658,"journal":{"name":"2018 4th International Conference on Universal Village (UV)","volume":"67 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130275879","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}
{"title":"Nubilum Ad Hominem: Taking smart homes steps further","authors":"Chuyuan Zhang, Yajun Fang, B. Horn","doi":"10.1109/UV.2018.8642113","DOIUrl":"https://doi.org/10.1109/UV.2018.8642113","url":null,"abstract":"Smart home technologies are developed with the goal of offering convenience to their users, but the currently available technologies are reactive, either to user commands or to user routine, as opposed to being proactive, and are not capable of taking the environment around the user into consideration when making an analysis. In addition, most existing systems have a strictly top-down hierarchical structure, where a central device such as the user’s mobile phone controls the system to the point where the lack thereof impacts the functionality of the system on a tremendous scale, and may sometimes result in a cascading failure rendering the entire system inoperable.This article focuses on the relationship and connection between various unconnected data points scattered across a person’s quotidian life, as well as the decentralized connection between smart home devices, both on a microscopic and on a community scale. It seeks to propose an alternative system that takes into account not only user commands and routines, but also pieces of information disseminated by the surrounding environment, which the user might not have perceived or understood, and incorporates them into its own process of analysis. Further more, the proposed system emphasizes modularization and decentralization, such that the addition and removal of a node should not impact the system outside of the specific functionality provided by the said node.","PeriodicalId":110658,"journal":{"name":"2018 4th International Conference on Universal Village (UV)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134416743","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}
{"title":"Analysis of Sparse Roadway Trajectories","authors":"S. Chawathe","doi":"10.1109/UV.2018.8642145","DOIUrl":"https://doi.org/10.1109/UV.2018.8642145","url":null,"abstract":"Recent technological advances enable the gathering of extensive data on vehicular trajectories of large numbers of travelers at an unprecedented level of detail. Such trajectory datasets provide a wealth of information for purposes such as urban planning, carpool formation, and public-transportation design. This paper describes methods for analyzing and visualizing such data with an emphasis on sparse-traffic environments. It outlines the needs of applications in this domain and presents methods for clustering trajectories and for visualizing the results. The methods are evaluated by an experimental study on a publicly available dataset from real travelers.","PeriodicalId":110658,"journal":{"name":"2018 4th International Conference on Universal Village (UV)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130332151","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}
{"title":"CovNN: A Covariance Neural Network Extended from CNN","authors":"Yue Shen, Tianyou Zheng, Dandan Li, Zicai Wang","doi":"10.1109/UV.2018.8642150","DOIUrl":"https://doi.org/10.1109/UV.2018.8642150","url":null,"abstract":"Convolutional neural networks (CNNs) show commendable performance in computer vision, approaching high accuracy in a broad number of application domains. However, the training process of feature kernels in CNNs is easily affected by illumination intensity and feature interaction, which leads to over-fitting. In this paper, we propose a covariance neural network (CovNN), which replaces the original convolutional operation with our covariance algorithm, to make the learned kernels more robust to different illumination conditions and irrelevant features. This covariance layer uses the 3D covariance between all the input feature maps and the corresponding group of kernels by sliding window method, and regularizes them without additional parameters. Moreover, the covariance layer can be seamlessly transplanted to a variety of neural network architectures extended from CNNs (e.g., ResNet, Faster R-CNN). We evaluate the proposed CovNN on several popular datasets for image recognition (MNIST, Fashion-MNIST, CIFAR 10 and AR) and classification of organs (Abdominal Ultrasound Dataset). Experimental results demonstrate that CovNN achieves significant improvements over the state-of-the-art on most of them.","PeriodicalId":110658,"journal":{"name":"2018 4th International Conference on Universal Village (UV)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129805103","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}
Manqing Feng, Guoxin Huang, Chuyuan Zhang, Yang Liu, Yajun Fang, B. Horn
{"title":"Transcribing Latin Manuscripts in Respect to Linguistics","authors":"Manqing Feng, Guoxin Huang, Chuyuan Zhang, Yang Liu, Yajun Fang, B. Horn","doi":"10.1109/UV.2018.8642159","DOIUrl":"https://doi.org/10.1109/UV.2018.8642159","url":null,"abstract":"Current text detection software, although can transcribe modern languages with high accuracy, has flaws detecting texts and transcribing original Latin manuscripts sufficiently. This paper proposes a general approach for transcribing Latin manuscripts in respect to linguistics and develops a system to transcribe Latin manuscripts containing intricate abbreviations, which combines basic object detection algorithms with linguistics. We used methods from image processing and made changes based on the characteristics of Latin.","PeriodicalId":110658,"journal":{"name":"2018 4th International Conference on Universal Village (UV)","volume":"62 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126697032","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}