ppxscal/embedding_network huggingface dataset:
Managing SAP ERP 6.0 Upgrade Projects
Authors: Martin Riedel
Venue:  (2009)

This book provides project managers and project team members with comprehensive information on upgrade projects to SAP ERP 6.0. You ll learn everything you need to decide whether an upgrade is the right option for your organization, and you ll find all information necessary to prepare, manage, and execute an upgrade project, while avoiding costly mistakes. After explaining the SAP tools and services for determining the value of an upgrade, the author details the tasks of the individual project phases. You ll explore how to schedule the project, and how to estimate costs and risks. You ll also learn how to build the project team and organize test cycles, plus, how to plan for a smooth cutover. And, of course, upgrade execution is also dealt with extensively: Managing the system landscape while minimizing downtime shouldn t give you much trouble after reading this book. In addition, SAP Solution Manager, the technical upgrade tools, testing tools, services and more are covered in a separate tools chapter. This invaluable resource is nicely complemented by a collection of detailed customer case studies. Highlights: Determining the Value of an Upgrade: Reasons for an upgrade, discovery process, SAP enhancement packages Planning an Upgrade: Strategy and scope, scheduling, cost estimation, risk management Managing an Upgrade: Building a project team, quality assurance, testing, cutover planning Executing an Upgrade: System landscape, upgrade realization, production cutover, downtime minimization, incremental conversion, Unicode conversion, training, and more Tools: SAP Solution Manager, SAPup, SAPjup, ASU Toolbox, Business Process Change Analyzer, Upgrade Dependency Analyzer, testing tools, and more 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
Assessment of student learning behaviors to guide the integration of technology in curriculum reform
Authors: Steven S. Harris, Benjamin Barden, H. Kenneth Walker, Martin A. Reznek
Venue: Information Services and Use (2009)

The purpose of this study was to characterize medical students' learning behaviors and preferences related to information technology (IT) and assess their educational needs related to advances in IT and simulation in order to optimize curriculum and educational space design. An online survey was administered to all medical students enrolled in graduate medical education at Emory University School of Medicine. The survey assessed subjects' demographic data, current technology usage, and experiences and preferences related to: informatics, facilities, online learning, staff support and simulation. The response rate was 49% (214 of 440). 95% of respondents reported computer use of greater than 6 hours per week, and 75% reported owning and regularly using a laptop computer. Despite regularly seeking computer-based learning modalities, 55% of students reported being underprepared for the application of clinical informatics in their practice. 49% of students prefer group learning and prioritize large group learning areas with large desks. Health science libraries designed to address the preferences for portable technology and group learning may encourage the incorporation of the library into the medical student learning experience, allowing librarians to assume formal and informal roles in the curriculum as students learn to search and apply information resources.
A Novel Scheduled Power Saving Mechanism for 802.11 Wireless LANs
Authors: Yong He, Ruixi Yuan
Venue: IEEE Transactions on Mobile Computing (2009)

Power conservation is a general concern for mobile computing and communication. In this paper, we investigate the performance of the current 802.11 power saving mechanism (unscheduled PSM) and identify that background network traffic can have a significant impact on the power consumption of mobile stations. To improve power efficiency, a novel scheduled PSM protocol based on time slicing is proposed in this paper. The protocol adopts the mechanism of time division, schedules the access point to deliver pending data at designated time slices, and adaptively adjusts the power state of the mobile stations. The proposed scheme is near theoretical optimal for power saving. It greatly reduces the effect of background traffic, minimizes the station idle time, and maximizes its energy utilization. Comprehensive analysis and simulations are conducted to evaluate the new protocol. The results show that the new protocol provides significant energy saving over the unscheduled PSM, particularly in circumstances where multiple traffic streams coexist in a network. Moreover, it achieves the saving at the cost of only a slight degradation of the one-way-delay performance.
A formalization of program debugging in the situation calculus
Authors: Yongmei Liu
Venue: Proceedings of the 23rd national conference on Artificial intelligence - Volume 1 (2008)

Program debugging is one of the most time-consuming parts of the software development cycle. In recent years, automatic debugging has been an active research area in software engineering; it has also attracted attention from the AI community. However, existing approaches are mostly expenential; moreover, those model-based approaches are based on abstract models of programs, which lends an experiential flavor to the approaches, due to the heuristic nature of choosing an abstract model. We believe that it is necessary to establish a precise theoretical foundation for debugging from first principles. In this paper, we present a first step towards this foundation: using Reiter's theoretical framework of model-based diagnosis, we give a clean formalization of the program debugging task in the situation calculus, a logical language suitable for describing dynamic worlds. Examples are given to illustrate our formalization.
A Tool for Detecting First Races in OpenMP Programs
Authors: Mun-Hye Kang, Ok-Kyoon Ha, Sang-Woo Jun, Yong-Kee Jun
Venue: Proceedings of the 10th International Conference on Parallel Computing Technologies (2009)

First race detection is especially important for effective debugging, because the removal of such races may make other affected races disappear. The previous tools can not guarantee that detected races are the first races to occur. We present a new tool to detect first races in a program with nested parallelism using a two-pass on-the-fly technique. To show accuracy, we empirically compare our tool with previous tools using a set of synthetic programs with OpenMP directives.
3D Line Segment Detection Based on Disparity Data of Area-Based Stereo
Authors: Dong-Min Woo, Dong-Chul Park
Venue: Proceedings of the 2009 WRI Global Congress on Intelligent Systems - Volume 04 (2009)

This paper presents a new 2D line matching technique in terms of disparity data generated by area-based stereo to build 3D site model from urban images.The core of our technique is that feature matching is carried out by the reference of the disparity evaluated by area-based stereo. Since the reference of the disparity can significantly reduce the number of feature matching combinations, feature matching error can be drastically minimized. One requirement of the disparity to be referenced is that it should be reliable to be used in feature matching. To measure the reliability of the disparity, in this paper, we employ the self-consistency of the disparity. Our suggested technique is applied to the detection of 3D line segments by 2D line matching using our hybrid stereo matching, which can be efficiently utilized in the generation of the rooftop model from urban images.The suggested method is evaluated on Avenches data set of Ascona aerial images. Experimental results indicate that the extracted 3D line segments have an average error of 0.5m and can be efficiently used to the construction of 3D site models.
Application of Comprehensive Water Quality Identification Index in Water Quality Assessment of River
Authors: Miao Qun, Gao Ying, Liu Zhiqiang, Tan Xiaohui
Venue: Proceedings of the 2009 WRI Global Congress on Intelligent Systems - Volume 01 (2009)

Comprehensive water quality identification index, based on single factor water quality identification index, is a new tool for evaluating surface water quality. This evaluation method of water quality can fully depict the general water quality and evaluate water quality qualitatively and quantitatively. We use this method to evaluate the water quality of Dagu River in Laixi area of Qingdao, China, using one year’s monitoring data of three periods including water-deficient period, water-common period and water-rich period. The results show that the water quality of this valley meet the Ⅲ category of regional water environment domain standards, while the water quality of the water-rich period is the worst and the water quality of lower reaches is worse than upper reaches, which is basically in accordance with the actual situation. This paper shows that the comprehensive water quality identification index is worth using in the river water quality assessment.
Actively exploring creation of face space(s) for improved face recognition
Authors: Nitesh V. Chawla, Kevin W. Bowyer
Venue: Proceedings of the 22nd national conference on Artificial intelligence - Volume 1 (2007)

We propose a learning framework that actively explores creation of face space(s) by selecting images that are complementary to the images already represented in the face space. We also construct ensembles of classifiers learned from such actively sampled image sets, which further provides improvement in the recognition rates. We not only signicantly reduce the number of images required in the training set but also improve the accuracy over learning from all the images. We also show that the single face space or ensemble of face spaces, thus constructed, has a higher generalization performance across different illumination and expression conditions.
Situating Productive Play: Online Gaming Practices and Guanxi in China
Authors: Silvia Lindtner, Scott Mainwaring, Paul Dourish, Yang Wang
Venue: Proceedings of the 12th IFIP TC 13 International Conference on Human-Computer Interaction: Part I (2009)

Economic activities in and around online gaming in China are often correlated in the West with practices of gold farming, or selling in-game currency to players for real money in online games. What can we learn about online gaming in China and about online gaming and online sociality more broadly when we look at economic and other "pragmatic" practices through which online gaming becomes meaningful to players? In this paper, we present findings from an ethnographic study of online gaming in China's urban Internet cafes to discuss implications for game design, and HCI design more broadly. Considering the ties between socio-economic practices, development of trust and culturally situated imaginings of self-hood and otherness, brings to the fore how online gaming in and of itself constitutes the means for practical achievements in day-to-day management of guanxi (social connection).
Research on the Model of Aircraft Economic Classification
Authors: Xiao-jin Li, Shu-long Zhao
Venue: Proceedings of the 2009 Asia-Pacific Conference on Information Processing - Volume 02 (2009)

It is now widely recognized that the costs of these externalities must be internalized and paid for by the aviation industry and its users,therefore, there is a need to analyze the relations of aircraft classification, its costs, include direct and indirect, and its passagers. In this paper, the model of aircraft economic classification is set up based on the theory of support vector machine(SVM) according to the principle of International Civil Aviation Organization (ICAO)which namedas "user paid for by himself". Then, in China, the model is used in the practice, the testing result is able to reflect out accurately characteristics of the data, and closely with the value of passenger enjoyed services.
Voltage controlled delay line with phase quadrature outputs for [0.9-4] GHz F-DLL dedicated to zero-IF multi-standard LO
Authors: Cédric Majek, Yann Deval, Hervé Lapuyade, Jean-Baptiste Bégueret
Venue: Proceedings of the 22nd Annual Symposium on Integrated Circuits and System Design: Chip on the Dunes (2009)

This paper presents the design and measurement results of a novel VCDL (Voltage Controlled Delay Line). Based on the multiphase ring oscillator technique, it offers two outputs in phase quadrature. These last ones allow the Factorial DLL (F-DLL) to be zero-IF compliant and so a good candidate for multi-standard LO. The proposed circuit has been fabricated using 130 nm CMOS SOI technology from STMicroelectronics. Measurements confirm the low quadrature phase error of the topology and its ability to synthesize the [0.9-4] GHz band, being suited for GSM up to WIMAX applications.
EMBR --- A Realtime Animation Engine for Interactive Embodied Agents
Authors: Alexis Heloir, Michael Kipp
Venue: Proceedings of the 9th International Conference on Intelligent Virtual Agents (2009)

Embodied agents are a powerful paradigm for current and future multimodal interfaces, yet require high effort and expertise for their creation, assembly and animation control. Therefore, open animation engines and high-level control languages are required to make embodied agents accessible to researchers and developers. In this paper, we present EMBR, a new realtime character animation engine that offers a high degree of animation control via the EMBRScript language. We argue that a new layer of control, the animation layer, is necessary to keep the higher-level control layers (behavioral/functional) consistent and slim, while allowing a unified and abstract access to the animation engine, e.g. for the procedural animation of nonverbal behavior. We describe the EMBRScript animation layer, the architecture of the EMBR engine, its integration into larger project contexts, and conclude with a concrete application.
Aggregating Hierarchical Service Level Agreements in Business Value Networks
Authors: Irfan Haq, Altaf Huqqani, Erich Schikuta
Venue: Proceedings of the 7th International Conference on Business Process Management (2009)

Business scenarios such as Business Value Networks and Extended Enterprises pose new challenges for service choreographies across heterogeneous Virtual Organizations. In such scenarios, services compose together hierarchically in a producer-consumer manner to form service supply-chains of added value. Service Level Agreements (SLAs) are defined at various levels in this hierarchy to ensure the expected quality of service for different stakeholders. Automation of service composition directly implies the aggregation of their corresponding SLAs. But so far, the aggregation of SLAs has been treated only as a single layer process which is insufficient to complement the hierarchical aggregation of services. In this paper we elaborate on the requirement of a hierarchical aggregation of SLAs corresponding to service choreographies in Business Value Networks. During the hierarchical aggregation of SLAs, certain SLA information pertaining to different stakeholders is meant to be restricted and can be only partially revealed to a subset of their business partners. We introduce the concept of SLA-Views to protect such privacy concerns. We, then formalize the notion of SLA Choreography and define an aggregation model based on SLA-Views to enable the automation of hierarchical aggregation of Service Level Agreements. The aggregation model has been designed to comply with the WS-Agreement standard.
Detecting Emotions in Classical Music from MIDI Files
Authors: Jacek Grekow, Zbigniew W. Raś
Venue: Proceedings of the 18th International Symposium on Foundations of Intelligent Systems (2009)

At a time when the quantity of sounds surrounding us is rapidly increasing and the access to different recordings as well as the amount of music files available on the Internet is constantly growing, the problem of building music recommendation systems including systems which can automatically detect emotions contained in music files is of great importance. In this article, a new strategy for emotion detection in classical music pieces which are in MIDI format is presented. A hierarchical model of emotions consisting of two levels, L1 and L2, is used. A collection of harmonic and rhythmic attributes extracted from music files allowed for emotion detection with an average of 83% accuracy at level L1.
Fault-Tolerant Hamiltonicity of Augmented Cubes under the Conditional Fault Model
Authors: Sun-Yuan Hsieh, Yi-Ru Cian
Venue: Proceedings of the 9th International Conference on Algorithms and Architectures for Parallel Processing (2009)

The augmented cube is a variation of hypercubes, which possesses many properties superior to the hypercubes. In this paper, we show that, for any n-dimensional augmented cube (n ¿ 3) with 4n ¿ 8 faulty edges in which each vertex is incident to at least two fault-free edges, there exists a fault-free Hamiltonian cycle. Our result is optimal with respect to the number of faulty edges tolerated.
Bounding and comparing methods for correlation clustering beyond ILP
Authors: Micha Elsner, Warren Schudy
Venue: Proceedings of the Workshop on Integer Linear Programming for Natural Langauge Processing (2009)

We evaluate several heuristic solvers for correlation clustering, the NP-hard problem of partitioning a dataset given pairwise affinities between all points. We experiment on two practical tasks, document clustering and chat disentanglement, to which ILP does not scale. On these datasets, we show that the clustering objective often, but not always, correlates with external metrics, and that local search always improves over greedy solutions. We use semi-definite programming (SDP) to provide a tighter bound, showing that simple algorithms are already close to optimality.
BayesianBand: Jam Session System Based on Mutual Prediction by User and System
Authors: Tetsuro Kitahara, Naoyuki Totani, Ryosuke Tokuami, Haruhiro Katayose
Venue: Proceedings of the 8th International Conference on Entertainment Computing (2009)

One kind of pleasure that jam sessions bring is deciding a melody or an accompaniment while mutually predicting what the other participants are going to play. We propose a jam session system, called BayesianBand, which provides this kind of musical pleasure through sessions with computers. With this system, the chord progression in a session is not fixed in advance but rather is determined in real time by predicting the user's melody. The user, while improvising, is also expected to predict the chord progression generated by the system; accordingly, a cooperative jam session based on the mutual prediction will be achieved. To build this system, we constructed a model for melody prediction and chord inference based on a Bayesian network.
Business Process Composition with QoS Optimization
Authors: Jing Zhang, Weiran Nie, Mark Panahi, Yichin Chang, Kwei-Jay Lin
Venue: Proceedings of the 2009 IEEE Conference on Commerce and Enterprise Computing (2009)

One of the challenges in SOA is to provide an efficient and effective way to identify compatible Web service(s) and compose them into a service process that satisfies a user’s functional and non-functional needs. Quality of Service (QoS), like response time or throughput, might need to be optimized for the selected service process. This paper describes a system architecture and strategies Web services composition with QoS optimization. The strategies include a uniform cost backward search for optimizing response time and an improved greedy search for optimizing throughput.
Urban Arial Image Segmentation Using Spectral and Direction Features
Authors: Ali Bakhshi, Abdorreza Alavi Gharabagh, Mohammad Hassan Ghassemian
Venue: Proceedings of the 2009 WRI Global Congress on Intelligent Systems - Volume 03 (2009)

In this paper textured image segmentation of urban areas using spectral and direction features is lionizing. Texture characterization specifically is very complex when the image data composed of several spectral bands at different wavelength. This topic is very important, especially in the case of remotely sensed hyperspectral images of urban areas, in which hundreds of spectral bands are often available. Since in various spectral band texture is different, we could not employ general methods of texture analysis to this images. On the other hand, most of textured analysis methods could not consider spectral and spatial features simultaneously. Thus, in order to extraction features we using extended mathematical morphology. After constructing feature image, we employ region growing algorithm with respect to similarity between adjacent pixels. Before applying region growing algorithm we create a binary image. Results of this segmentation represent high performance of the proposed strategy.
Spectral Flatness Analysis for Emotional Speech Synthesis and Transformation
Authors: Jiří Přibil, Anna Přibilová
Venue: Cross-Modal Analysis of Speech, Gestures, Gaze and Facial Expressions: COST Action 2102 International Conference Prague, Czech Republic, October 15-18, 2008 Revised Selected and Invited Papers (2009)

According to psychological research of emotional speech different emotions are accompanied by different spectral noise. We control its amount by spectral flatness according to which the high frequency noise is mixed in voiced frames during cepstral speech synthesis. Our experiments are aimed at statistical analysis of spectral flatness in three emotions (joy, sadness, anger), and a neutral state for comparison. Calculated histograms of spectral flatness distribution are visually compared and modelled by Gamma probability distribution. Obtained statistical parameters and emotional-to-neutral ratios of their mean values show good correlation for both male and female voices and all three emotions.
Adaptive message authentication for vehicular networks
Authors: Nikodin Ristanovic, Panos Papadimitratos, George Theodorakopoulos, Jean-Pierre Hubaux, Jean-Yves Leboudec
Venue: Proceedings of the sixth ACM international workshop on VehiculAr InterNETworking (2009)

Public key cryptography can introduce significant processing delays in vehicular communication platforms. This can lead to serious performance issues, especially in the case of multi-hop Inter-Vehicle Communication. In this paper we propose Adaptive Message Authentication (AMA), a lightweight filtering scheme that reduces the number of cryptographic operations performed by the nodes. Based only on local observations and with no additional communication channel, our scheme achieves global improvement of network performance. We show through simulation that the scheme successfully adapts the number of cryptographic operations to the locally observed number of adversaries.