ppxscal/embedding_network huggingface dataset:
An analysis on price matching policy
Authors: Guoming Lai, Katia Sycara, Laurens Debo, Cuihong Li
Venue: Proceedings of the 8th international conference on Electronic commerce: The new e-commerce: innovations for conquering current barriers, obstacles and limitations to conducting successful business on the internet (2006)

Price matching policies have been widely adopted in retailing and other industrial markets. The flourishing online channels have made price comparison and matching much easier. Previous research on price matching policy focuses on how this policy impacts the competition among sellers based on simultaneous pricing games. However, besides the role to match the competitors' current price during a purchase (i.e. concurrent price matching), price matching policy usually has another role: to match a seller's own price or the competitors' price if the price drops within a specified period after the purchase (i.e. posterior price matching). This role has important implication for consumers' purchasing behavior. Rational consumers may delay purchasing, hoping for possible markdowns that come later. This delayed purchasing behavior, however, may harm a seller's profit. Posterior price matching allows a seller to induce early purchasing of buyers. This is because with a guarantee to match the lower price that may be offered by the seller later, a buyer cannot gain by waiting. On the other hand, posterior price matching reduces a seller's pricing power, and also changes a seller's pricing strategy over time, influencing a buyer's utility. Therefore whether or not posterior price matching benefits sellers or buyers deserve a close examination. In this paper, we present an analytical model that investigates the impact of posterior price matching on both the buyers' utility and the seller's revenue in three scenarios: (1) the seller is a monopolist in the market; (2) the seller is a semi-monopolist in the market, i.e., he is a monopolist in the first period, but the market is perfectly competitive and he has no pricing power in the second period; and (3) the seller is a price-taking seller, i.e., the market is perfectly competitive, in both periods. We find that in scenario 1 a price matching policy is beneficial for the seller but makes the buyers worse off. However, in scenario 2 and 3, we find that there exists a wide range of situations where a price matching policy surprisingly can benefit both parties.
Personalized Knowledge Awareness Map in Computer Supported Ubiquitous Learning
Authors: Moushir M. El-Bishouty, Hiroaki Ogata, Yoneo Yano
Venue: Proceedings of the Sixth IEEE International Conference on Advanced Learning Technologies (2006)

Seeking for knowledge is one of the most important problems that learners frequently face during their learning process. In this research, a computer supported collaboration learning in ubiquitous computing environment is designed and implemented. This environment is called Perkam (PERsonalized Knowledge Awareness Map). Perkam allows the learners to seek for and share knowledge, interact, collaborate, and exchange individual experiences. This system recommends the appropriate educational materials and peer helpers. The knowledge awareness map visualizes the relative distance between the learner's request and location from one side, and the suggested educational materials and peer helpers from the other side. This paper focuses on the design and the implementation of the knowledge awareness map which is personalized according to the learner's interest and location.
EMBRACE: Bioinformatics Data and Analysis Tool Services for e-Science
Authors: Peter M. Rice, Alan J. Bleasby, Syed A. Haider, Jon C. Ison, Shaun McGlinchey, Mahmut Uludag
Venue: Proceedings of the Second IEEE International Conference on e-Science and Grid Computing (2006)

The EMBRACE project is a network of European partners providing services which integrate the major data resources and analysis software tools using web services and emerging grid technologies. Prototype services are available for the core data resources and the most commonly used tools for sequence analysis. Data access uses the WSDbFetch and BioMart services from the European Bioinformatics Institute. Software tool services use the SoapLab services, also from the European Bioinformatics Institute. The preferred client for these services is Taverna from the myGrid project. Subprojects are collecting and analyzing biological use cases, and maintaining a watch on emerging grid technology in Europe.
Neuronal Clusters in the Primate Motor Cortex during Interception of Moving Targets
Authors: Daeyeol Lee, Nicholas L. Port, Wolfgang Kruse, Apostolos P. Georgopoulos
Venue: Journal of Cognitive Neuroscience (2001)

Two rhesus monkeys were trained to intercept a moving target at a fixed location with a feedback cursor controlled by a 2-D manipulandum. The direction from which the target appeared, the time from the target onset to its arrival at the interception point, and the target acceleration were randomized for each trial, thus requiring the animal to adjust its movement according to the visual input on a trial-by-trial basis. The two animals adopted different strategies, similar to those identified previously in human subjects. Single-cell activity was recorded from the arm area of the primary motor cortex in these two animals, and the neurons were classified based on the temporal patterns in their activity, using a nonhierarchical cluster analysis. Results of this analysis revealed differences in the complexity and diversity of motor cortical activity between the two animals that paralleled those of behavioral strategies. Most clusters displayed activity closely related to the kinematics of hand movements. In addition, some clusters displayed patterns of activation that conveyed additional information necessary for successful performance of the task, such as the initial target velocity and the interval between successive submovements, suggesting that such information is represented in selective subpopulations of neurons in the primary motor cortex. These results also suggest that conversion of information about target motion into movement-related signals takes place in a broad network of cortical areas including the primary motor cortex.
Utilizing Bio-Mechanical Characteristics For User-Independent Gesture Recognition
Authors: Farid Parvini, Cyrus Shahabi
Venue: Proceedings of the 21st International Conference on Data Engineering Workshops (2005)

We propose a novel approach for recognizing hand gestures by analyzing the data streams generated by the sensors attached to the human hands. We utilize the concept of 'range of motion' in the movement and exploit this characteristic to analyze the acquired data. We show that since the relative 'range of motion' of each section of the hand involved in any gesture is a unique characteristic of that gesture, it provides a unique signature for that gesture across different users. Based on this observation, we propose our approach for hand gesture recognition which addresses two major challenges: user-dependency and devicedependency. Furthermore, we show that our approach neither requires calibration nor involves training.We apply our approach for recognizing ASL signs and show that we can recognize static ASL signs with no training. Our preliminary experiments demonstrate more than 75% accuracy in sign recognition for the ASL static signs.
Simulation-based performance prediction for large parallel machines
Authors: Gengbin Zheng, Terry Wilmarth, Praveen Jagadishprasad, Laxmikant V. Kalé
Venue: International Journal of Parallel Programming (2005)

We present a performance prediction environment for large scale computers such as the Blue Gene machine. It consists of a parallel simulator, BigSim, for predicting performance of machines with a very large number of processors, and BigNetSim, which incorporates a pluggable module of a detailed contention-based network model. The simulators provide the ability to make performance predictions for very large machines such as Blue Gene/L. We illustrate the utility of our simulators using validation and prediction studies of several applications using smaller numbers of processors for simulations.
Technical context and cultural consequences of XML
Authors: S. Adler, R. Cochrane, J. F. Morar, A. Spector
Venue: IBM Systems Journal (2006)

The Extensible Markup Language (XML) is an open standard for creating domain- and industry-specific markup vocabularies. XML has become the predominant mechanism for electronic data interchange between information systems and can be described as a universally applicable, durable "Code of Integration." As we celebrate its tenth anniversary, it is appropriate to reflect on the role XML has played and the technical ecosystem in which it functions. In this paper, we discuss both the environment from which XML arose and its technical underpinnings, and we relate these topics to companion papers in this issue of the IBM Systems Journal. We discuss the broad consequences of XML and argue that XML will take its place among the technical standards having the greatest impact on the world in which we live. We conclude with some reflections on the significant technical, economic, and societal consequences that XML is likely to have in the future.
Memetic and Genetic Algorithms: A Comparison among Different Approaches to Solve Vehicle Routing Problem with Time Windows
Authors: Humberto Cesar Brandao de Oliveira, Jose Lima Alexandrino, Mariane Moreira de Souza
Venue: Proceedings of the Sixth International Conference on Hybrid Intelligent Systems (2006)

This paper presents four different kinds of Evolutionary Algorithms (EA), for the Vehicle Routing Problem with Time Windows. A comparison among four EAs was made in order to investigate approaches such as genetic memory of populations, which avoids the loss of good genetic threads during search process and the hybridization of the EAs through local search, forming Memetic Algorithms.
A Digital BIST Methodology for Spread Spectrum Clock Generators
Authors: Maohsuan Chou, Jenchien Hsu, Chauchin Su
Venue: Proceedings of the 15th Asian Test Symposium (2006)

In this paper, a built-in-self-test methodology for spread-spectrum clock generators is presented. It utilizes a multi-phase phase detector to detect the linearity of the frequency variation and the short-term jitter. The methodology is analyzed and simulated. As an all digital design, the hardware overhead is very small.
When things go wrong
Authors: Darrell Starks
Venue: Proceedings of the 37th conference on Winter simulation (2005)

When performing simulation projects, all analysts or project managers are taught to follow the simulation process: Define, Formulate, Verify/Validate, Analyze, and Recommend. However, few of us are taught what to do when all does not go well. Most projects have at least one bump in the road which if not smoothed out as soon as possible can become a crater that can swallow the project and all team members. This presentation gives examples of when things went wrong and what was done to correct these issues.
How to leverage computer simulation in condition-based maintenance
Authors: Ernest Yat-Kwan Wong
Venue: Proceedings of the 37th conference on Winter simulation (2005)

Computer simulation creates not only the potential to improve many functions within the U.S. Army aviation's condition-based maintenance paradigm, but it also holds the capability to help enhance the CBM vision of achieving optimal operational readiness of the fleet. Therefore, instead of focusing on answering whether computer simulation modeling can be used to enhance CBM, it is perhaps more worthwhile to focus on how to best introduce computer simulation modeling into the CBM process in the most effective manner. This paper presents three alternatives for addressing how to introduce computer simulation techniques into CBM: a) develop computer simulation tools in-house that are tailored specifically to U.S. Army Aviation and Missile Command engineering requirements; b) use existing commercial simulation software tools, such as Crystal Ball and Palisades Decision Tools, for analysis of existing data; and c) outsource the modeling functions to external agencies that have demonstrated expertise in computer simulation. The ACM Portal is published by the Association for Computing Machinery. Copyright © 2010 ACM, Inc. Terms of Usage Privacy Policy Code of Ethics Contact Us Useful downloads: Adobe Acrobat QuickTime Windows Media Player Real Player
An Erlang-like law for GPRS/EDGE engineering and its first validation on live traffic
Authors: Georges Nogueira, Bruno Baynat, Ahmed Ziram
Venue: Proceedings of the 1st international conference on Performance evaluation methodolgies and tools (2006)

This paper is a contribution to the generic problem of having a simple and accurate analytical model to dimension GSM/(E)GPRS radio cells where voice and data traffic are mixed. Radio resources are assumed to be shared according to the so-called Partial Partitioning scheme where some channels are dedicated to voice, others to data, and the remaining are shared by voice and data. Voice has a total preemption priority over data on the shared part. This work shows how to calibrate an Erlang-like law based on Markovian modeling for this complex sharing resource situation and to validate it against real data. We present a complete validation framework on a live network for a simple and efficient GSM/(E)GPRS analytical tool.
Assistive Embedded Technologies
Authors: Priya Narasimhan
Venue: Computer (2006)

Tinetra integrates embedded devices to let blind users enjoy cost-effective, independent shopping.
A typed intermediate language for compiling multiple inheritance
Authors: Juan Chen
Venue: ACM SIGPLAN Notices (2007)

Type-preserving compilation can improve software reliability by generating code that can be verified independently of the compiler. Practical type preserving compilation does not exist for languages with multiple inheritance. This paper presents Emi, the first typed intermediate language to support practical compilation of a programming language with fully general multiple inheritance. The paper demonstrates the practicality of Emi by showing that Emi can be used to faithfully model standard implementation strategies of multiple inheritance for C++, the most widely-used programming language with general multiple inheritance.
Streamulator: A New Approach to Online Office Hours
Authors: Dana M. Lee
Venue: Proceedings of the conference on Information Visualization (2006)

Streamulator is an easy to use Web-based automated streaming application that allows for live online video, audio and desktop content. It does not require the end user to download and install software on their computer prior to accessing the interactive sessions. Because it is an in-house solution, Streamulator can be developed and modified for future requirements. The concept of online office hours is discussed, along with Streamulator's stages of development and implementation within this framework.
Planning for terrorist-caused emergencies
Authors: Russell R. Vane,  III
Venue: Proceedings of the 37th conference on Winter simulation (2005)

This paper provides a framework for assessing hypothesized/simulated emergencies in order to provide quick protection for the populace and infrastructure; and also to protect first responders. These challenges - the need to respond quickly and safely - are the focus for how we must sense, represent, and act upon these progressively revealed events. And this must be done continually. In general, hypergame theory (Vane 2000) provides an approach to pre-planning, situational discovery and model updating to help friendly leadership to decide what to do next in any adversarial scenario.
A hotel information system implementation using MAS technology
Authors: Armando Robles P., Pablo Noriega B. V., Marco Julio Robles P., Héctor Hernández T., Victor Soto Ramírez, Edgar Gutiérrez S.
Venue: Proceedings of the fifth international joint conference on Autonomous agents and multiagent systems (2006)

This paper reports on our progress towards a framework for enabling Intelligent Organizations with agent technologies. We have built and deployed the part of the framework consisting of organizational middleware and domain agents. The organizational middleware reads workflow scripts at run time and interprets them delegating to specialized server agents access to business rules and data bases. Those server agents, in turn, communicate with specialized user agents that facilitate human interactions through traditional plain and grid forms. We have used these ideas to transform a conventional Hotel Information System into a multi layered, agent supported information system. Our MAS-ified hotel information system is already in operation in 10 hotels with a total of 2040 rooms.
Finding Syntactic Similarities Between XML Documents
Authors: Davood Rafiei, Daniel L. Moise, Dabo Sun
Venue: Proceedings of the 17th International Conference on Database and Expert Systems Applications (2006)

Detecting structural similarities between XML documents has been the subject of several recent work, and the proposed algorithms mostly use tree edit distance between the corresponding trees of XML documents. However, evaluating a tree edit distance is computationally expensive and does not easily scale up to large collections. We show in this paper that a tree edit distance computation often is not necessary and can be avoided. In particular, we propose a concise structural summary of XML documents and show that a comparison based on this summary is both fast and effective. Our experimental evaluation shows that this method does an excellent job of grouping documents generated by the same DTD, outperforming some of the previously proposed solutions based on a tree comparison. Furthermore, the time complexity of the algorithm is linear on the size of the structural description.
Raw emotional signalling, via expressive behaviour
Authors: A. Brooks, E. Petersson
Venue: Proceedings of the 2005 international conference on Augmented tele-existence (2005)

The paper reports on an initial explorative study that inquired to the response of persons with profound and multiple disabilities in an interactive environment. Our goal was to explore the potentials of interactive environments for improving quality of life for people with special needs and those around them. In the study they were empowered within a volumetric non-invasive interface to actively experience gestural control of sonic events. Case studies exemplify the findings indicating a potential that can encourage social interaction and benefit user, carers, and family. Conclusions highlight evaluand significance to other interactive research such that when a state of flow is achieved both a new reality and state of consciousness are opportune.
Symptoms Ontology for Mapping Diagnostic Knowledge Systems
Authors: Robert Minchin, Fabio Porto, Christelle Vangenot, Sven Hartmann
Venue: Proceedings of the 19th IEEE Symposium on Computer-Based Medical Systems (2006)

This paper describes a methodology for increasing the scope and precision of diagnostic Knowledge Based (KB) Systems. It has been stated that medical KB systems are either highly specialised, lack accuracy or are just too simple. To resolve this problem of scope we propose the use of a phased approach to diagnosis. The first phase being the querying of a symptoms ontology, to direct diagnostic systems to the most appropriate domain or class reference given input symptoms. Additional symptoms can then be targeted, extracted and analysed with a domain specific set of KB systems. This process allows us to forecast key symptoms, patient characteristics and increase the value of available data in decision making. In addition this approach could allow a system to dynamically correct an inappropriate domain decision. Such an approach also has the potential to be used to build a bridge between existing specialised medical KB systems.
Adaptive control variates
Authors: Sujin Kim, Shane G. Henderson
Venue: Proceedings of the 36th conference on Winter simulation (2004)

Adaptive Monte Carlo methods are specialized Monte Carlo simulation techniques where the methods are adaptively tuned as the simulation progresses. The primary focus of such techniques has been in adaptively tuning importance sampling distributions to reduce the variance of an estimator. We instead focus on adaptive control variate schemes, developing asymptotic theory for the performance of two adaptive control variate estimators. The first estimator is based on a stochastic approximation scheme for identifying the optimal choice of control variate. It is easily implemented, but its performance is sensitive to certain tuning parameters, the selection of which is nontrivial. The second estimator uses a sample average approximation approach. It has the advantage that it does not require any tuning parameters, but it can be computationally expensive and requires the availability of nonlinear optimization software.
Heuristic Policy Analysis and Efficiency Assessment in Constraint Satisfaction Search
Authors: Richard J. Wallace
Venue: Proceedings of the 18th IEEE International Conference on Tools with Artificial Intelligence (2006)

This paper argues that characterizing heuristic performance in terms of adherence to optimal policies can elucidate many differences in search effort associated with different variable ordering heuristics. This framework involves two policies that search must adhere to to be successful: the promise policy is in force when search is on a solution path; the fail-first policy holds when search is in an insoluble subtree. After discussing how adherence to these policies can be measured, the paper shows that many complex patterns of performance can be elucidated by measuring the adherence to each policy. For example, some strategies designed to maximize adherence to one policy are shown to be either unsuccessful in this regard or to affect adherence to the other policy adversely, thus impairing search. In contrast, strategies used by superior heuristics often balance features such as branching and local connectivity so as to enhance adherence to both policies simultaneously. Differences related to problem structure can also be elucidated.
Intelligent Query Tree (IQT) Protocol to Improve RFID Tag Read Efficiency
Authors: Naval Bhandari, Anirudha Sahoo, Sridhar Iyer
Venue: Proceedings of the 9th International Conference on Information Technology (2006)

Radio Frequency Identification (RFID) is slated to become a standard for tagging various products. As more and more products become RFID enabled, fast tag identification mechanisms will become important. Various tag identification (or anti-collision) algorithms have been proposed for RFID systems. This work focuses on methods to improve tag read efficiency in RFID Systems. In this paper, we propose an Intelligent Query Tree (IQT) Protocol for tag identification that exploits specific prefix patterns in the tags and make the identification process more efficient. IQT is a memoryless protocol that identifies RFID tags more efficiently in scenarios where tag IDs have some common prefix (e.g., common vendor ID or product ID). IQT is suitable for readers deployed in exclusive showrooms, shipment points of big malls, where the products may come from same manufacturer and may have same product IDs. We provide the worst case complexity analysis of IQT and show the performance improvement of this protocol over traditional Query Tree protocol in different scenarios.