ppxscal/embedding_network huggingface dataset:
QuickBooks 2009 The Official Guide, 1 edition
Authors: Kathy Ivens
Venue:  (2008)

Maximize the power of the #1 bestselling financial softwareSet up a comprehensive, well-organized small business financial management system using QuickBooks 2009 and the expert advice packed inside this official guide. Filled with practical information, this book explains how to perform essential business tasks and customize QuickBooks for your needs. Track finances, manage payroll, process invoices, monitor inventory, manage sales and expenses, and much more. Run your small business with confidence--regardless of your industry or growth level-using the real-world tips, techniques, and shortcuts in this authoritative guide to QuickBooks 2009.Configure and customize QuickBooks for your businessEnter transactions quickly and accuratelyKeep customer, vendor, and employee information all in one placeManage accounts payable and receivableManage customers and vendorsMonitor inventoryTrack employee hours and manage payrollReconcile bank accountsSet up and manage budgetsCreate standard or customized business reportsAnalyze business performance Table of contentsAcknowledgmentsIntroductionPart One: Getting StartedChapter 1. Using QuickBooks for the First TimeChapter 2. The Chart of AccountsChapter 3. Configuring Customers and JobsChapter 4. Configuring VendorsChapter 5. Creating Other Lists You NeedChapter 6. Creating ItemsChapter 7. Setting Up InventoryChapter 8. Entering Historical DataPart Two: Bookkeeping with QuickBooksChapter 9. Invoicing CustomersChapter 10. Receiving and Tracking Customer PaymentsChapter 11. Managing Vendor BillsChapter 12. Paying VendorsChapter 13. Managing Bank and Credit Card AccountsChapter 14. Reconciling Bank AccountsChapter 15. Using Online Banking ServicesChapter 16. Tracking Time and MileageChapter 17. Running PayrollChapter 18. Payroll Reports and RemittancesChapter 19. Journal EntriesPart Three: Financial Planning and ReportingChapter 20. Accountant's CopyChapter 21. Creating ReportsChapter 22. Customizing ReportsChapter 23. Budgets and Planning ToolsChapter 24. Year-End ProceduresPart Four: Managing QuickBooksChapter 25. Printing and E-mailing in QuickBooksChapter 26. Managing Users and PermissionsChapter 27. Managing Your QuickBooks FilesChapter 28. Customizing QuickBooks ComponentsPart Five: AppendixAppendix A. MulticurrencyIndex
Proceedings of the 2nd International Workshop on Data Mining and Audience Intelligence for Advertising
Venue: International Conference on Knowledge Discovery and Data Mining (2008)

Global advertising is projected to exceed half-a-trillion dollars by the year 2010. Although online advertising is currently only a small part of this large enterprise, it is growing at a rapid pace. The explosion in the number of participants in the online advertising marketplace has generated large volumes of data and exciting data mining problems. Earlier research on search logs, web pages, social network and blogs had focused on information organization, retrieval and understanding. Recently there has been strong research interest in the advertisement angle to all these information sources. Researchers have tackled several challenging problems on online monetization like sponsored search, contextual advertising for web pages, understanding user intent and user demographics for advertisements, mining user reviews for product pricing, predicting click-through rates for ads, just to name a few. Further, the on-line and offline advertising worlds are fast converging; for example, digital marketplaces are migrating from the online world to TV and radio, and audience understanding work from offline media is trickling into the online realm. Since data mining researchers and practitioners in all these areas come from different communities, there is strong need for a single forum to bring together people involved in all aspects of digital advertising. We are addressing this need with the Workshop on Data Mining and Audience Intelligence for Advertising. The goal of this workshop is to not only increase communication between researchers working on seemingly different pieces of the advertisement pie, but to encourage data mining researchers to bring new ideas from related areas to solve the numerous challenges faced by the rapidly changing digital advertising industry. We want to bring together auction theorists, social network researchers, natural language researchers, information retrieval experts, audience understanding researchers, television advertisement analysts and many others, to promote a fruitful exchange of ideas to advance the field.
Conservation of museum patrimony using 3D techniques
Authors: A. Chioreanu, N. Paul, A. Vlaicu, B. Orza
Venue: Proceedings of the 12th WSEAS international conference on Computers (2008)

This paper presents the implementation of a system designed to be used for the conservation of museum patrimony. We propose a computational efficient and cost effective 3D reconstruction algorithm used for acquiring, reconstructing and presenting the 3D shape of heritage objects. The proposed solution for 3D reconstruction is based on a phase shifting fringe projection algorithm. This paper presents a simple analysis of fringe pattern reconstruction models as well as the details of the proposed method. The result proves that the proposed method is suited for such applications and is more widely applicable.
Streaming implementation of a sequential decompression algorithm on an FPGA
Authors: Gaurav Mittal, David C. Zaretsky, Prithviraj Banerjee
Venue: Proceeding of the ACM/SIGDA international symposium on Field programmable gate arrays (2009)

This paper describes an FPGA based implementation of a real time compression algorithm used in transactions between financial institutions such as exchanges and trading houses. FIX is a protocol that has gained widespread popularity for exchanging financial information such as stock prices and purchases over the Internet. If a financial trader can speed up the processing of these protocols, he can make significant financial profits by buying or selling stocks when there is a lot of variability in the share prices. Our methodology tries to recognize and exploit streaming characteristics of the software design in order to implement a pipelined parallel processing system in reconfigurable hardware. It introduces the concept of caches to keep stream pipelines filled more often. The system implemented on a Xilinx Virtex5 LX110T FPGA shows a 17x speedup in throughput over a software implementation running on a dual core Intel Pentium workstation. These techniques are being developed as part of commercial compiler project to automatically translate software binaries to streaming RTL VHDL systems.
A Linguistic Possibility-Probability Aggregation Model for decision analysis with imperfect knowledge
Authors: Kevin K. F. Yuen, H. C. W. Lau
Venue: Applied Soft Computing (2009)

Knowledge which is imperfect creates obstructions in the operational parameter setting (OPS) of the functions of decision making; however it is relatively inexpensive to obtain the data to fill the knowledge gap by taking subjective measures. The collection of human experience data through individual subjective assessments tends to be aggregated as being of more objective value. This paper proposes a Linguistic Possibility-Probability Aggregation Model (LPPAM) to address this problem of OPS. LPPAM includes a Compound Linguistic Ordinal Scales model as a rating interface to improve the quality of data collection. The CLOS model addresses the problems with consistency, such as in the linguistic choices, accuracy of linguistic representation of numbers and bias of rating dilemmas. LPPAM also contains a multi-expert and multi-attribute aggregation model, which is to derive meaningful arguments fitting the setting of operation parameters. Five algorithms are used for LPPAM. The significance of LPPAM is that it can be applied in group multi-criteria decision problems and large scale survey systems. To validate the proposed framework, with a comparison with the Analytical Network Process (ANP), a R&D project selection problem is given.
Emily
Authors: Kim Leow
Venue: ACM SIGGRAPH ASIA 2008 computer animation festival (2008)

Emily is a cute little girl who doesn't like going to school. And she's so lucky that her parents let her do what she prefers, like playing with her sharp knife ...
Simulation & Implementation of Shortest Path Algorithm with a Mobile Robot Using Configuration Space Approach
Authors: T. C. Manjunath, B. G. Nagaraja, Ashok Kusagur, Gopala
Venue: Proceedings of the 2009 International Conference on Advanced Computer Control (2009)

A simulation & implementation of a shortest path from the source to the destination in the amidst of obstacles using configuration space approach both with translations & rotations is presented in this paper. One of the most important problems in robotics is the task-planning problem. A task is a job or an application or an operation that has to be done by the robot, whether it is a stationary robot or a mobile robot. The word ‘planning’ means deciding on a course of action before acting. Before a robot does a particular task, how the task has to be done or performed in its workspace has to be planned. This is what is called as Robot Task Planning (RTP). A plan is a representation of a course of action for achieving the goal. How the problem has to be solved has to be planned properly. Robot task planning is also called as problem solving techniques and is one of the important topics of Artificial Intelligence. For eg., when a problem is given to a human being to be solved; first, he or she thinks about how to solve the problem, then devises a strategy / plan how to tackle the problem. Then only he or she starts solving the problem. Hence, robot task planning is also called as robot problem solving techniques. Many of the items in task planning are currently under active research in the fields of Artificial Intelligence, Image Processing and Robotics. Lot of research is going on in the robot problem solving techniques. The simulation & the experimental results show the effectives of the method used.
A Visualization Technique for Installation Evidences Containing Malicious Executable Files Using Machine Language Sequence
Authors: Jun-Hyung Park, Minsoo Kim, Bong-Nam Noh
Venue: Information Security Applications: 9th International Workshop, WISA 2008, Jeju Island, Korea, September 23-25, 2008, Revised Selected Papers (2009)

In the modern society the majority of information is stored and preserved on the digitalized storage medium. By the way, it is difficult to recognize that there are any adding, deleting, or changing of the records in the digitalized storage medium. In this paper, we suggest an evidence detection technique of malicious executable file installation on computer system using visualization of similarity between machine language sequences. Also suggested method can not only detect original malwares but also mutants of them. Besides, our method can help to reassemble the data blocks containing the fragments of the malicious file back into their proper sequences for securing legal evidences.
Bright CdSe quantum dot inserted in single ZnSe nanowires
Authors: A. Tribu, G. Sallen, T. Aichele, C. Bougerol, R. André, J. P. Poizat, S. Tatarenko, K. Kheng
Venue: Microelectronics Journal (2009)

We report the evidence of CdSe quantum dot (QD) insertion in single defect-free ZnSe nanowire. These nanowires have been grown by molecular beam epitaxy in vapour-liquid-solid growth mode catalysed with gold particles. We developed a two-step process allowing us to grow very thin (from 15 to 5nm) defect-free ZnSe nanowire on top of a nanoneedle, where all defects are localised. The CdSe QDs are incorporated to the defect-free nanowires part. Owing to the extraction efficiency of the nanowires and the reduced number of stacking fault defects in the two-step-process nanowires, a very efficient photoluminescence is observed even on isolated single nanowire. Time-resolved photoluminescence and correlation photon give evidences that the bright photon emission is related to the CdSe QD.
Paired Learners for Concept Drift
Authors: Stephen H. Bach, Marcus A. Maloof
Venue: Proceedings of the 2008 Eighth IEEE International Conference on Data Mining (2008)

To cope with concept drift, we paired a stable online learner with a reactive one. A stable learner predicts based on all of its experience, whereas are active learner predicts based on its experience over a short, recent window of time. The method of paired learning uses differences in accuracy between the two learners over this window to determine when to replace the current stable learner, since the stable learner performs worse than does there active learner when the target concept changes. While the method uses the reactive learner as an indicator of drift, it uses the stable learner to predict, since the stable learner performs better than does the reactive learner when acquiring target concept. Experimental results support these assertions. We evaluated the method by making direct comparisons to dynamic weighted majority, accuracy weighted ensemble, and streaming ensemble algorithm (SEA) using two synthetic problems, the Stagger concepts and the SEA concepts, and three real-world data sets: meeting scheduling, electricity prediction, and malware detection. Results suggest that, on these problems, paired learners outperformed or performed comparably to methods more costly in time and space.
Controversy Corner: On the similarity between requirements and architecture
Authors: Remco C. de Boer, Hans van Vliet
Venue: Journal of Systems and Software (2009)

Many would agree that there is a relationship between requirements engineering and software architecture. However, there have always been different opinions about the exact nature of this relationship. Nevertheless, all arguments have been based on one overarching notion: that of requirements as problem description and software architecture as the structure of a software system that solves that problem, with components and connectors as the main elements. Recent developments in the software architecture field show a change in how software architecture is perceived. There is a shift from viewing architecture as only structure to a broader view of 'architectural knowledge' that emphasizes the treatment of architectural design decisions as first-class entities. From this emerging perspective we argue that there is no fundamental distinction between architectural decisions and architecturally significant requirements. This new view on the intrinsic relation between architecture and requirements allows us to identify areas in which closer cooperation between the architecture and requirements engineering communities would bring advantages for both.
A formal framework for scenario development in support of environmental decision-making
Authors: Mohammed Mahmoud, Yuqiong Liu, Holly Hartmann, Steven Stewart, Thorsten Wagener, Darius Semmens, Robert Stewart, Hoshin Gupta, Damian Dominguez, Francina Dominguez, David Hulse, Rebecca Letcher, Brenda Rashleigh, Court Smith, Roger Street, Jenifer Ticehurst, Mark Twery, Hedwig van Delden, Ruth Waldick, Denis White, Larry Winter
Venue: Environmental Modelling Software (2009)

Scenarios are possible future states of the world that represent alternative plausible conditions under different assumptions. Often, scenarios are developed in a context relevant to stakeholders involved in their applications since the evaluation of scenario outcomes and implications can enhance decision-making activities. This paper reviews the state-of-the-art of scenario development and proposes a formal approach to scenario development in environmental decision-making. The discussion of current issues in scenario studies includes advantages and obstacles in utilizing a formal scenario development framework, and the different forms of uncertainty inherent in scenario development, as well as how they should be treated. An appendix for common scenario terminology has been attached for clarity. Major recommendations for future research in this area include proper consideration of uncertainty in scenario studies in particular in relation to stakeholder relevant information, construction of scenarios that are more diverse in nature, and sharing of information and resources among the scenario development research community.
On Peirce's Pragmatic Notion of Semiosis--A Contribution for the Design of Meaning Machines
Authors: João Queiroz, Floyd Merrell
Venue: Minds and Machines (2009)

How to model meaning processes (semiosis) in artificial semiotic systems? Once all computer simulation becomes tantamount to theoretical simulation, involving epistemological metaphors of world versions, the selection and choice of models will dramatically compromise the nature of all work involving simulation. According to the pragmatic Peircean based approach, semiosis is an interpreter-dependent process that cannot be dissociated from the notion of a situated (and actively distributed) communicational agent. Our approach centers on the consideration of relevant properties and aspects of Peirce's pragmatic concept of semiotics. Upon developing this approach, we have no pretensions of our being able to present an exhaustive analysis of the differences between Peirce and other theoretical positions. Nevertheless, our contribution will serve to demonstrate how theorists contribute toward revealing certain fundamental `semiotic constraints' that will be of interest and importance.
From immersion to addiction in videogames
Authors: May-li Seah, Paul Cairns
Venue: Proceedings of the 22nd British HCI Group Annual Conference on HCI 2008: People and Computers XXII: Culture, Creativity, Interaction - Volume 1 (2008)

Immersion is commonly described by gamers and game-reviewers as an important aspect of a videogame. In this paper, we investigate the relationship between the immersive experience of videogames and the addictive nature of games. Building on Charlton's (2002) study of addiction and engagement in computing, we conducted a questionnaire study of people who play videogames. It seems that videogames blur the distinction between addiction and high engagement even more than generic computing. In a follow up diary study, the degree of immersion whilst playing was found to be strongly correlated (r=0.763) with the addiction/engagement score. Overall, these studies suggest that the degree of immersive experience is closely related to how addictive or engaging people find videogames and moreover that addiction seems to be an extreme form of engagement and immersion.
A Conversation with Arthur Whitney
Venue: Queue (2009)

Can code ever be too terse? The designer of the K and Q languages discusses this question and many more with Queue editorial board member Bryan Cantrill.
Walking assistant device with GPS and electronic compass
Authors: Krzysztof Tokarz, Michał Dzik
Venue: Proceedings of the 8th conference on Applied computer scince (2008)

Despite constantly improving medical techniques it is still impossible to cure many severe vision defects which causes great demand for devices that help blind persons to get through chores of everyday life. In this paper there is presented such assistive device developed at the Silesian University of Technology. The main purpose of the device is to help blind persons to move through a town without aid. The device is prepared to be used by pedestrians so it is small and battery powered. The device uses GPS navigation, yet because GPS can determine the azimuth only while moving, the device is equipped with electronic compass that needs to operate independently of the position. The description of the calculation of the azimuth is based on values measured from the compass and accelerometer.
Interactive Visualization System for Decision Making Support in Online Shopping
Authors: Tomoki Kajinami, Takashi Makihara, Yasufumi Takama
Venue: New Frontiers in Applied Data Mining: PAKDD 2008 International Workshops, Osaka, Japan, May 20-23, 2008. Revised Selected Papers (2009)

This paper proposes an interactive visualization based on decision making approach, which helps a user to make a comparison between items and to select certain item in online shopping. This paper employs an interactive visualization system Keyword Map, which is designed for general-purpose visualization of graph structure. The system has several functions for emphasizing user's intentions and can reflect those to a map. In this paper, improved Keyword Map is proposed and applied to interactive retrieval process of online shopping. Experiments with test subjects are performed to compare user's behaviors in online shopping between the proposed system and ordinary Web browser. The results show that subjects using proposed system tend to analyze relationship between items, which leads to the acceleration of concept articulation of online shopping.
Body sensor networks to evaluate standing balance: interpreting muscular activities based on inertial sensors
Authors: Rohith Ramachandran, Lakshmish Ramanna, Hassan Ghasemzadeh, Gaurav Pradhan, Roozbeh Jafari, Balakrishnan Prabhakaran
Venue: Proceedings of the 2nd International Workshop on Systems and Networking Support for Health Care and Assisted Living Environments (2008)

In this paper, we present a system that integrates inertial sensors and electromyogram (EMG) signals, which measures the muscular activities while performing motions. The objective of our study is to investigate the behaviour of the EMG signals to interpret the activity of standing balance. Quantitative parameters for balance are obtained from an inertial sensor through a body-sensor network. These parameters are further used to find the prominent features in the EMG signal. The inertial sensor used in this system is an accelerometer. The implementation details and effectiveness of using EMG signals are also provided.
A multi-fpga 10x-real-time high-speed search engine for a 5000-word vocabulary speech recognizer
Authors: Edward C. Lin, Rob A. Rutenbar
Venue: Proceeding of the ACM/SIGDA international symposium on Field programmable gate arrays (2009)

Today's best quality speech recognition systems are implemented in software. These systems fully occupy the resources of a high-end server to deliver results at real-time speed: each hour of audio requires a significant fraction of an hour of computation for recognition. This is profoundly limiting for applications that require extreme recognition speed, for example, high-volume tasks such as video indexing (e.g., YouTube), or high-speed tasks such as triage of homeland security intelligence. We describe the architecture and implementation of one critical component -- the backend search stage -- of a high-speed, large-vocabulary recognizer. Implemented on a multi-FPGA Berkeley Emulation Engine 2 (BEE2) platform, we handle a standard 5000-word Wall Street Journal speech benchmark. Our backend search engine can decode on average 10 times faster than real-time running at 100 MHz, i.e, 10x faster than real-time, with negligible degradation in accuracy, running at a clock rate ~ 30x slower than a conventional server. To the best of our knowledge, this is both the most complex, and the fastest recognizer ever to be realized in a hardware form.
Guinness
Authors: Nikki Kefford-White
Venue: ACM SIGGRAPH ASIA 2008 computer animation festival (2008)

Inspired by Studio aka director Marc Craste's short film "Jo Jo In The Stars," AMV creatives Bern Hunter and Mike Bond requested two rugby teams composed of similarly wonderful characters who inhabit a rugby arena within a pint of Guinness.