ppxscal/embedding_network huggingface dataset:
Debt Detection in Social Security by Sequence Classification Using Both Positive and Negative Patterns
Authors: Yanchang Zhao, Huaifeng Zhang, Shanshan Wu, Jian Pei, Longbing Cao, Chengqi Zhang, Hans Bohlscheid
Venue: Proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases: Part II (2009)

Debt detection is important for improving payment accuracy in social security. Since debt detection from customer transactional data can be generally modelled as a fraud detection problem, a straightforward solution is to extract features from transaction sequences and build a sequence classifier for debts. The existing sequence classification methods based on sequential patterns consider only positive patterns. However, according to our experience in a large social security application, negative patterns are very useful in accurate debt detection. In this paper, we present a successful case study of debt detection in a large social security application. The central technique is building sequence classification using both positive and negative sequential patterns.
Highly improved IIP2 direct conversion receiver
Authors: Antonio Felipe de Freitas Silva, Fernando Rangel de Sousa
Venue: Proceedings of the 22nd Annual Symposium on Integrated Circuits and System Design: Chip on the Dunes (2009)

Homodyne receivers are widely used in modern communication systems, as they can be integrated in a single integrated circuit. Despite their remarkable advantages, they are very sensitive to even order distortion. In this paper we present a circuit which aims at increasing the Second Order Intermodulation Interception Point (IIP2) of homodyne down-converter. The circuit is based on the use of three instead of two mixers for recovering the in-phase and quadrature components of bidimensional modulated signals. We present results obtained from simulations in a circuit designed on the 130 nm IBM RF technology. At the worst case, the improvement archived is higher than 20 dB.
Enabling eParticipation of the Youth in the Public Debate on Legislation in Austria: A Critical Reflection
Authors: Sabrina Scherer, Christoph Neuroth, Günther Schefbeck, Maria A. Wimmer
Venue: Proceedings of the 1st International Conference on Electronic Participation (2009)

Legislation formation is an area of democracy, in which participation of target groups (citizens, companies, interest groups, experts) plays a crucial role. With the emergence of the Internet and the growing maturity of more recent technologies a new potential emerged for supporting participation in the legislation process. The use of ICT does, however, not automatically enhance the participation in democratic processes and may even impose new [technically based] barriers. Therefore, software development of legislative eParticipation applications should carefully investigate and bear in mind the specific targeted users. It is not feasible to just provide the necessary ICT and the legislative documents in order to start a consultation, especially with young citizens. When introducing not only a new tool but even a new procedure, the whole process needs to be planned in detail and accompanied by an expert team. In this respect, the paper at hand describes the implementation of a pilot within the LEX-IS project that aimed to facilitate and enable participation of the youth in the public debate on legislation in Austria. The subject of online discussion via the platform was a ministerial draft bill and the formulation of a comment statement based on the previous discussions to be uploaded on the Austrian Parliament's platform. The paper introduces the evaluation methodology and the results of the pilot regarding the use of the argumentation support system, participation of the youth and potential impact on the Austrian legislature. Finally, concluding remarks are provided.
An adaptive neuro-fuzzy model for prediction of student's academic performance
Authors: Osman Taylan, Bahattin Karagözoğlu
Venue: Computers and Industrial Engineering (2009)

This paper introduces a systematic approach for the design of a fuzzy inference system based on a class of neural networks to assess the students' academic performance. Fuzzy systems have reached a recognized success in several applications to solve diverse class of problems. Currently, there is an increasing trend to expand them with learning and adaptation capabilities through combinations with other techniques. Fuzzy systems-neural networks and fuzzy systems-genetic algorithms are the most successful applications of soft computing techniques with hybrid characteristics and learning capabilities. The developed method uses a fuzzy system augmented by neural networks to enhance some of its characteristics like flexibility, speed, and adaptability, which is called the adaptive neuro-fuzzy inference system (ANFIS). New trends in soft computing techniques, their applications, model development of fuzzy systems, integration, hybridization and adaptation are also introduced. The parameters set to facilitate the hybrid learning rules for the constitution of the Sugeno-type ANFIS architecture is then elaborated. The method can produce crisp numerical outcomes to predict the student's academic performance (SAP). It also provides an alternative solution to deal with imprecise data. The results of the ANFIS model are as robust as those of the statistical methods, yet they encourage a more natural way to interpret the student's outcomes.
A Route Planning Optimization Model Based on Improved Ant Colony Algorithm
Authors: Wang Yi-tao, Li Jin-jun
Venue: Proceedings of the 2009 Eigth IEEE/ACIS International Conference on Computer and Information Science (2009)

Route planning is an important part of combat planning and it is also one of the hotspots and difficult problems of military operation research. According to the analysis of general route planning optimization problem, a method of route planning optimization is discussed based on improved ACA (ant colony algorithm). A series of schemes are proposed to improve the global convergence performance of the ACA. Simulation results verify that the method can gain satisfying route plan and the method can provide some reference value to related researchers.
Representing Multi-agent Planning in CLP
Authors: Agostino Dovier, Andrea Formisano, Enrico Pontelli
Venue: Proceedings of the 10th International Conference on Logic Programming and Nonmonotonic Reasoning (2009)

We explore the use of Constraint Logic Programming (CLP) as a platform for experimenting with planning domains in presence of multiple interacting agents. We develop a novel constraint-based action language, $\mathcal{B}^{\sf MAP}$, that enables the declarative description of large classes of multi-agent and multi-valued domains. $\mathcal{B}^{\sf MAP}$ supports several complex features, including combined effects, concurrency constraint, interacting actions, and delayed effects.
The User Knows: Considering the Cognitive Contribution of the User in the Design of Auditory Warnings
Authors: Catherine Stevens, Agnes Petocz
Venue: Proceedings of the 8th International Conference on Engineering Psychology and Cognitive Ergonomics: Held as Part of HCI International 2009 (2009)

An experiment that investigated effects of modality, warning type, and task demand on warning recognition speed and accuracy is reported. Using the experiment as a specific example, we argue for the importance of considering the cognitive contribution of the user (viz. prior learned associations) in the warning design process. Drawing on semiotics and cognitive psychology, we highlight the indexical nature of so-called auditory icons or natural indicators and argue that the cogniser is an indispensable element in the tripartite nature of signification.
A First Step toward Combinatorial Pyramids in n-D Spaces
Authors: Sébastien Fourey, Luc Brun
Venue: Proceedings of the 7th IAPR-TC-15 International Workshop on Graph-Based Representations in Pattern Recognition (2009)

Combinatorial maps define a general framework which allows to encode any subdivision of an n-D orientable quasi-manifold with or without boundaries. Combinatorial pyramids are defined as stacks of successively reduced combinatorial maps. Such pyramids provide a rich framework which allows to encode fine properties of the objects (either shapes or partitions). Combinatorial pyramids have first been defined in 2D. This first work has later been extended to pyramids of n-D generalized combinatorial maps. Such pyramids allow to encode stacks of non orientable partitions but at the price of a twice bigger pyramid. These pyramids are also not designed to capture efficiently the properties connected with orientation. The present work presents our first results on the design of a pyramid of n-D combinatorial maps.
Robust Guaranteed Cost Control Base on T-S Fuzzy Model
Authors: Dejia Shi, Weijin Jiang
Venue: Proceedings of the 2009 International Conference on Measuring Technology and Mechatronics Automation - Volume 02 (2009)

Based on T-S fuzzy model, the robust guaranteed cost control problem is studied for a class of uncertain singular systems with state and input delays. Sufficient conditions are provided for the construction of a state feedback guaranteed cost controller. These conditions are given in terms of the feasibility of linear matrix inequalities (LMIs) and guarantee that the closed-loop systems are quadratically stable. Moreover, an upper bound of the guaranteed cost is also obtained. A numerical example is provided to demonstrate the effectiveness of the proposed method.
A Study on Emotional Feature Analysis and Recognition in Speech Signal
Authors: Xin Min Cheng, Pei Ying Cheng, Li Zhao
Venue: Proceedings of the 2009 International Conference on Measuring Technology and Mechatronics Automation - Volume 01 (2009)

Abstract—This paper analysis the feather of the time,amplitude, pitch and formant construction involved such fouremotions as happiness, anger, surprise and sorrow. Throughcomparison with non-emotional quiet speech signal, we sum upthe distribution law of emotional feather including differentemotional speech. Nine emotional features were extracted formemotional speech for recognizing emotion. We introduce twoemotional recognition methods based on principal componentanalysis and the results show that these method can provide aneffective solution to emotional recognition.
Noninvasive Cuffless Estimation of Blood Pressure from Pulse Arrival Time and Heart Rate with Adaptive Calibration
Authors: Federico S. Cattivelli, Harinath Garudadri
Venue: Proceedings of the 2009 Sixth International Workshop on Wearable and Implantable Body Sensor Networks (2009)

We study the problem of noninvasively estimating Blood Pressure (BP) without using a cuff, which is attractive for continuous monitoring of BP over Body Area Networks. It has been shown that the Pulse Arrival Time (PAT) measured as the delay between the ECG peak and a point in the finger PPG waveform can be used to estimate systolic and diastolic BP. Our aim is to evaluate the performance of such a method using the available MIMIC database, while at the same time improve the performance of existing techniques. We propose an algorithm to estimate BP from a combination of PAT and heart rate, showing improvement over PAT alone. We also show how the method achieves recalibration using an RLS adaptive algorithm. Finally, we address the use case of ECG and PPG sensors wirelessly communicating to an aggregator and study the effect of skew and jitter on BP estimation.
Virtual evidence for training speech recognizers using partially labeled data
Authors: Amarnag Subramanya, Jeff Bilmes
Venue: Human Language Technologies 2007: The Conference of the North American Chapter of the Association for Computational Linguistics; Companion Volume, Short Papers on XX (2007)

Collecting supervised training data for automatic speech recognition (ASR) systems is both time consuming and expensive. In this paper we use the notion of virtual evidence in a graphical-model based system to reduce the amount of supervisory training data required for sequence learning tasks. We apply this approach to a TIMIT phone recognition system, and show that our VE-based training scheme can, relative to a baseline trained with the full segmentation, yield similar results with only 15.3% of the frames labeled (keeping the number of utterances fixed).
Generating image captions using topic focused multi-document summarization
Authors: Robert Gaizauskas
Venue: Proceedings of the Workshop on Multi-source Multilingual Information Extraction and Summarization (2008)

In the near future digital cameras will come standardly equipped with GPS and compass and will automatically add global position and direction information to the metadata of every picture taken. Can we use this information, together with information from geographical information systems and the Web more generally, to caption images automatically?
Study of Executable Plug-in Management System in Freeway Monitoring Network Based on B/S/A
Authors: An Mingwei, Chen Qimei, Guo Zongliang, Xu Caiyun
Venue: Proceedings of the 2009 International Conference on Environmental Science and Information Application Technology - Volume 02 (2009)

Combining the condition actualities of the online monitoring system and freeway network management system, through the requirement define and categorize analytical of plug-in management system, the network plug-in management system of freeway network is put forward based on Web interface and B/S/A. The system adopts the design method of object-oriented. The system contains convenience system structure and safe mechanisms, and incarnates the system management efficiently mode of the distribution and the concentration types together. The system can give the explicit definition and interface mode to the normal regulations equipments, and provide the prospect support towards the unknown requirement, and carry on the deployment and constitutions for some new supervision equipments. The plug-in manages system realizes the present applied requirement with a kind of easy and convenient way. It reduces the coupling of the module, and increases the extensible and credibility.
A New Model of Software Life Cycle Processes for Consistent Design, Development, Management, and Maintenance of Secure Information Systems
Authors: Daisuke Horie, Toshio Kasahara, Yuichi Goto, Jingde Cheng
Venue: Proceedings of the 2009 Eigth IEEE/ACIS International Conference on Computer and Information Science (2009)

This paper presents a new model of software life cycle processes for consistent design, development, management, maintenance, and abolition of secure information systems.The model clearly specifies tasks for engineering security facilities, standards underlying the tasks, and a regular sequence of the tasks.We defined the model according to ISO/IEC 12207 and other ISO standards related to security.The model can be customized as software life cycle processes for various systems with particular purposes.Users of software life cycle processes according to the model can continuously and consistently design, develop, manage, maintain, and abrogate secure information systems whose security is ensured by ISO standards.
Towards a linguistically motivated computational grammar for Hebrew
Authors: Shuly Wintner
Venue: Proceedings of the Workshop on Computational Approaches to Semitic Languages (1998)

While the morphology of Modern Hebrew is well accounted for computationally, there are few computational grammars describing the syntax of the language. Existing grammars are scarcely based on solid linguistic grounds: they do not conform to any particular linguistic theory and do not provide a linguistically plausible analysis for the data they cover. This paper presents a first attempt towards the construction of a formal grammar for a fragment of Hebrew that is both linguistically motivated and computationally implementable. The grammar, concentrating on the structure of noun phrases, is designed in accordance with HPSG, a linguistic theory that lends itself most naturally to computational implementation. It is the first application of HPSG to any Semitic language. Several theoretical issues are addressed, including the status of the definite article, the application of the DP hypothesis to Hebrew, definiteness agreement in the noun phrase as well as definiteness inheritance in constructs. All the analyses presented in the paper were tested and their predictions were verified. This is a work in progress, and the results described herein are preliminary.
Performance Simulation And Design Of Petri Net Systems
Authors: Tad Gonsalves, Kiyoshi Itoh
Venue: Journal of Integrated Design Process Science (2008)

The domain expert's heuristics are used in the performance design of collaborative systems which are modelled by client-server timed Petri nets. The collaborative system Petri net model is decomposed into basic primitive structures. The performance design rules that make up the expert system are categorized according to the primitive structure type. The rules are classified as: Diagnostic Rules, Primitive Structure Rules, Upstream Search Rules, Downstream Propagation Rules and Advisory Rules. In tuning the system operation, the expert system follows the policy of local improvement, while keeping the global propagation of adverse effects of tuning to a minimum.
Professional Microsoft SQL Server 2008 Programming
Authors: Robert Vieira
Venue:  (2009)

Master the increasingly complex feature set of the latest release of Microsoft SQL Server with the information in Professional Microsoft SQL Server 2008 Programming. Review the new features of SQL Server that will be of interest to you as an experienced developer and move on to more detailed, practical code examples. Learn how to write complex queries, build different types of data structures, improve application speed and performance, manage advanced scripting and errors, and design advanced databases the latest edition of this valuable programming guide. 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
Adaptive Sharpening with Overshoot Control
Authors: Antonio Buemi, Gaetano Santoro, Arcangelo Bruna, Mirko Guarnera
Venue: Proceedings of the 15th International Conference on Image Analysis and Processing (2009)

This paper presents the Adaptive Sharpening with Overshoot Control (ASOC), an algorithm for digital image contrast enhancement. The ASOC exploits a properly defined band-pass filter in order to better discriminate the "uniform/not uniform" zones of the input (blurred) image. A more aggressive sharpening is then performed on the textured zones, whilst the homogeneous regions are preserved.
OncoTheraper: Clinical Decision Support for Oncology Therapy Planning Based on Temporal Hierarchical Tasks Networks
Authors: Juan Fdez-Olivares, Juan A. Cózar, Luis Castillo
Venue: Knowledge Management for Health Care Procedures: ECAI 2008 Workshop, K4HelP 2008, Patras, Greece, July 21, 2008, Revised Selected Papers (2009)

This paper presents the underlying technology of OncoTheraper, a Clinical Decision Support System for oncology therapy planning. The paper is focused on the representation of oncology treatment protocols by a temporally extended, Hierarchical Task Networks (HTN) based knowledge representation as well as their interpretation by a temporal HTN planning process. The planning process allows to obtain temporally annotated therapy plans that support decisions of oncologists in the area of paediatrics oncology. A proof on concept aimed to validate this technology is also described. In addition, a service oriented architecture that supports the decision services of the system is proposed.
Design, implementation and evaluation of an efficient opportunistic retransmission protocol
Authors: Mei-Hsuan Lu, Peter Steenkiste, Tsuhan Chen
Venue: Proceedings of the 15th annual international conference on Mobile computing and networking (2009)

This paper presents an efficient opportunistic retransmission protocol (PRO, Protocol for Retransmitting Opportunistically) to improve the performance of IEEE 802.11 WLANs. PRO is a link-layer protocol that allows overhearing nodes to function as relays that retransmit on behalf of the source after they learn about a failed transmission. Relays with stronger connectivity to the destination have a higher chance of delivering the packet than the source does, thereby resulting in a more efficient use of the channel. PRO has four main features. First, channel reciprocity coupled with a run-time calibration process is used to estimate the instantaneous link quality to the destination. Second, a local qualification process filters out poor relays early. Third, a distributed relay selection algorithm chooses the best set of eligible relays among all qualified relays and prioritizes them. Finally, 802.11e Enhanced Distributed Channel Access (EDCA) is leveraged to make sure high priority relays transmit with high probability. PRO is designed to coexist with legacy 802.11 stations. We have implemented PRO in the driver of a commodity wireless card. Our extensive evaluation on both a controlled testbed and in the real world shows that PRO boosts throughput in diverse wireless environments, and especially in when there is significant contention for the channels, under fading, and with user mobility.
Objective selection of suitable unit cell size in data-driven modeling of mineral prospectivity
Authors: Emmanuel John M. Carranza
Venue: Computers Geosciences (2009)

In GIS-based data-driven modeling of mineral prospectivity, a suitably fine unit cell size is used for spatial representation of known occurrences of mineral deposits of the type sought (D) in a study area (T). However, until now, the unit cell size is chosen subjectively. In this paper, a methodology is proposed for objective selection of the most suitable unit cell size for data-driven modeling of mineral prospectivity using a raster-based GIS. A set of choices of suitable unit cell sizes is first derived via point pattern analysis of a set of known occurrences of mineral deposits of the type sought. Then, (a) the lower limit of a set of choices of suitable unit cell sizes is considered and defined according to the map scales from which spatial data for mineral prospectivity mapping were derived, and (b) the upper limit of the same set of choices of suitable unit cell sizes is considered (and revised as necessary) based on knowledge of spatial extents of mineral deposits of the type sought or via analysis of reflexive nearest neighbour points. Finally, it is shown that fractal analysis of spatial contrast between unit cells containing D and unit cells not containing D in T provides for objective selection of the most suitable unit cell size. In a case study application of the weight-of-evidence method to mineral prospectivity mapping, using the most suitable unit cell size, found via the proposed methodology, results in spatial evidence weights and weight uncertainties that are nearly identical to those derived by using the finest (i.e., lower limit) unit cell size. In contrast to using the most suitable unit cell size, using coarser unit cell sizes result in higher positive weights, lower negative weights and higher weight uncertainties of spatial evidence of mineral prospectivity. The proposed methodology for objective selection of the most suitable unit cell size in data-driven modeling of mineral prospectivity using a raster-based GIS is robust and can easily be implemented.