574 research outputs found
Adventures of a currency trader : a fable about trading, courage, and doing the right thing / Rob Booker.
No full textIncludes index.Book fair 2012.xv, 221 pages :Praise for ADVENTURES of a CURRENCY TRADER "A truly easy, unique, and enjoyable read! Rob has done it onceagain to teach us in the funniest way possible...
how not to make themost common trading mistakes. If you are tired of reading how-tobooks, this is perfect for you. I highly recommend this book to alltraders. Everyone will learn something about themselves by readingthis book."—Kathy Lien, author, Day Trading the Currency Market,and Chief Strategist, www.dailyfx.com"Adventures of a Currency Trader is a must read foranyone who has ever traded or is thinking about trading in theForex markets. Rob Booker has a unique way of taking years ofmarket knowledge and transforming it into an educational andentertaining experience. It has quickly become a cult classic in mytrading library!"—H. Jack Bouroudjian, Principal, Brewer Investment Group"Brilliant! Rob's humor and humanity shine through in thisparable about trading and life. Filled with wisdom and wit, it's anexhilarating rollercoaster ride through the peaks and valleys ofthe learning curve, with many valuable lessons learned along theway."—Ed Ponsi, President, FXEducator.com"Rob's fable of everyman 'Harry Banes' is destined to become atrading classic. This is both the missing piece and the foundationthat comes before the strategies and methodologies. The search forthe Holy Grail begins and ends in the heart and mind. The journeyis authentic and real and if you're willing to take it with Rob,you will be rewarded in the end. Seldom has psychology and wisdombeen so entertaining!"—Raghee Horner, trader and author of Forex Trading forMaximum Profit and Days of Forex Trading"In a series of insightful and entertaining vignettes, RobBooker teaches both the novice and the experienced trader some hardwon truths about the currency market. It's a must read book writtenby a guy who survived the trenches and went on to prosper in thebiggest and most competitive financial market in the world."—Boris Schlossberg, Senior Currency Strategist, Forex CapitalMarkets LLC, and author of Technical Analysis of the CurrencyMarke
Tactile Feedback for Artery Detection in Minimally Invasive Robotic Surgery –Preliminary Results of a New Approach
No full textMinimally invasive robotic surgery (MIRS) entails
total absence of haptic feedback due to the spatial separation
of patient and surgeon. In conventional surgery, however,
palpation to detect superficial arteries by a slight pulsation is
an important, commonly applied, and security-relevant procedure.
Therefore, an ultrasound based unidirectional sensor for
MIRS was developed feeding back kinesthetic impulses to the
surgeon-sided haptic input device
Co-attention-Based Pairwise Learning for Author Name Disambiguation
Get PDFDigital libraries face a pressing issue of author name ambiguity. This paper proposes a novel pairwise learning model for author name disambiguation, utilizing self-attention and co-attention mechanisms. The model integrates textual, discrete, and co-author attributes, amongst others, to capture comprehensive information from bibliographic records. It incorporates an optional random projection-based dimension reduction technique for efficiency to handle large datasets. The attention weight visualizations provide explanations for the model’s predictions. Our experiments on a substantial bibliographic catalogue repository validate the model’s effectiveness using accuracy, F1, and ROC AUC scores.</p
Effect and Improvement Areas for Port State Control Inspections to Decrease the Probability of Casualty
Get PDFThis report is the fourth part of a PhD project called "The Econometrics of Maritime Safety – Recommendations to Enhance Safety at Sea" and is based on 183,000 port state control inspections and 11,700 casualties from various data sources. Its overall objective is to provide recommendations to improve safety at sea. The fourth part looks into measuring the effect of inspections on the probability of casualty on either seriousness or casualty first event to show the differences across the regimes. It further gives a link of casualties that were found during inspections with either the seriousness of casualties and casualty first events which reveals three areas of improvement possibilities to potentially decrease the probability of a casualty – the ISM code, machinery and equipment and ship and cargo operations.maritime safety;correspondence analysis;binary logistic regression;probability of casualty;improvement;Port State Control Effectiveness;casualty first events;detention;port state control deficiences;target factor
Towards integrating process mining with agent-based modeling and simulation: State of the art and outlook
Get PDFAgent-based modeling and simulation (ABMS) is a valuable tool for assessing complex socio-technical systems and is becoming increasingly advanced through the integration with data-driven capabilities. Process mining is an emerging data-driven discipline that combines elements from data mining and process modeling to gain insights into process execution through tasks such as process discovery, conformance checking, and process enhancement using event data. This study explores the role of process mining and its impact on the ABMS paradigm, identifying the current state of the art, gaps in the literature, and future directions for integrating process mining with ABMS. A systematic literature review is conducted to examine how ABMS and process mining techniques are jointly employed to address challenges reported in the literature. From an initial pool of 189 publications, a final set of 20 papers was synthesized, their primary contributions were discussed, and open issues and challenges for future research were identified. Although the integrated field of process mining and ABMS shows an upward trend in publications, it remains modest and requires further efforts to achieve synergistic improvements in socio-technical systems. The findings offer initial guidance for promising research directions
Focus on Building & Real Estate piece with an interview with Rob Sanford, asso
No full textFocus on Building & Real Estate piece with an interview with Rob Sanford, associate professor of environmental science and policy at the University of Southern Maine and an advocate for the site plan review process. He and co-author Dana H. Farley wrote Site Plan and Development Review: A Guide for Northern New England, in order to demystify the review process. He hopes his book will help the amateurs, or planning board members, review the professionals, or developers. He says that the benefit of the process is that it allows community members to work together collaboratively
Discovering Agent Models using Process Mining: Initial Approach and a Case Study
Get PDFAgent-based modeling is widely used for modeling and simulation of self-organizing sociotechnical systems that are composed of distributed autonomous agents. In these systems, macro level behaviors emerge from local micro level behaviors of agents that follow rules and interact with each other and the environment. Although the individual agents' behaviors are typically described by sets of simple rules, the many interactions, heterogeneous populations, and complex topologies can make it challenging, or even impossible, to predict or steer the emergent behaviors beyond micro levels. Hence, the actual behaviors of such systems are generally hard to know beforehand, and they need to be observed to extract realistic models. In this paper, we propose a proof-of-concept approach to discover agents' underlying models from log data generated from their behaviors, utilizing process mining. To conceptualize and demonstrate our initial approach, we use an illustrative example of the popular Schelling's model of segregation. Our findings provide encouraging initial evidence on how agent models can be extracted utilizing process mining techniques
Towards integrating process mining with agent-based modeling and simulation: State of the art and outlook
Get PDFAgent-based modeling and simulation (ABMS) is a valuable tool for assessing complex socio-technical systems and is becoming increasingly advanced through the integration with data-driven capabilities. Process mining is an emerging data-driven discipline that combines elements from data mining and process modeling to gain insights into process execution through tasks such as process discovery, conformance checking, and process enhancement using event data. This study explores the role of process mining and its impact on the ABMS paradigm, identifying the current state of the art, gaps in the literature, and future directions for integrating process mining with ABMS. A systematic literature review is conducted to examine how ABMS and process mining techniques are jointly employed to address challenges reported in the literature. From an initial pool of 189 publications, a final set of 20 papers was synthesized, their primary contributions were discussed, and open issues and challenges for future research were identified. Although the integrated field of process mining and ABMS shows an upward trend in publications, it remains modest and requires further efforts to achieve synergistic improvements in socio-technical systems. The findings offer initial guidance for promising research directions
Using Agent-Based Simulation for Emergent Behavior Detection in Cyber-Physical Systems
Get PDFTraditional modeling approaches, based on predefined business logic, offer little support for today’s complex environments. In this paper, we propose a conceptual agent-based simulation framework to help not only discover complex business processes but also to analyze and learn from emergent behavior arising in cyber-physical systems. Techniques originating from agent-based modeling as well as from the process mining discipline are used to reinforce agent-based decision-making. Whereas agent-technology is used to orchestrate the integration and relationship between the environment and business logic activities, process mining capabilities are mainly used to discover and analyze emergent behavior. Using a functional decomposition approach, we specified three agent types: cyber-physical controller agent, business rule management agent, and emergent behavior detection agent. We use agent-based simulation of a logistics cold chain case study to demonstrate the feasibility of our approach
Closed‐loop one‐way‐travel‐time navigation using low‐grade odometry for autonomous underwater vehicles
Get PDF© The Author(s), 2017. This article is distributed under the terms of the Creative Commons Attribution License. The definitive version was published in Journal of FIeld Robotics 35 (2018): 421-434, doi:10.1002/rob.21746.This paper extends the progress of single beacon one‐way‐travel‐time (OWTT) range measurements for constraining XY position for autonomous underwater vehicles (AUV). Traditional navigation algorithms have used OWTT measurements to constrain an inertial navigation system aided by a Doppler Velocity Log (DVL). These methodologies limit AUV applications to where DVL bottom‐lock is available as well as the necessity for expensive strap‐down sensors, such as the DVL. Thus, deep water, mid‐water column research has mostly been left untouched, and vehicles that need expensive strap‐down sensors restrict the possibility of using multiple AUVs to explore a certain area. This work presents a solution for accurate navigation and localization using a vehicle's odometry determined by its dynamic model velocity and constrained by OWTT range measurements from a topside source beacon as well as other AUVs operating in proximity. We present a comparison of two navigation algorithms: an Extended Kalman Filter (EKF) and a Particle Filter(PF). Both of these algorithms also incorporate a water velocity bias estimator that further enhances the navigation accuracy and localization. Closed‐loop online field results on local waters as well as a real‐time implementation of two days field trials operating in Monterey Bay, California during the Keck Institute for Space Studies oceanographic research project prove the accuracy of this methodology with a root mean square error on the order of tens of meters compared to GPS position over a distance traveled of multiple kilometers.This work was supported in part through funding from the Weston
Howland Jr. Postdoctoral Scholar Award (BCC), the U.S. Navy's Civilian
Institution program via the MIT/WHOI Joint Program (JHK),W. M.
Keck Institute for Space Studies, and theWoods Hole Oceanographic
Institution
- …
