ppxscal/embedding_network huggingface dataset:
Research on Enterprise Competitiveness Evaluation Based on TOPSIS and Wavelet Neutral Network
Authors: Zhou Qingyuan
Venue: Proceedings of the 2009 IITA International Conference on Services Science, Management and Engineering (2009)

The competitiveness evaluation of enterprises has important significance for the survival and development of enterprises, and also has important reference value for enterprises decision-making. In this paper, Evaluation model of enterprise competitiveness is established based on TOPSIS and Wavelet neutral network, the proposed model for competitiveness evaluation of enterprises used the results of TOPSIS method as the learning examples to train and test the Wavelet neutral network, the weights of competitiveness evaluation indexes are given and a synthetic evaluation formula can be calculated. Finally the sample illuminates the validity and feasibility of this method.
Preimage Attacks on Reduced Tiger and SHA-2
Authors: Takanori Isobe, Kyoji Shibutani
Venue: Fast Software Encryption: 16th International Workshop, FSE 2009 Leuven, Belgium, February 22-25, 2009 Revised Selected Papers (2009)

This paper shows new preimage attacks on reduced Tiger and SHA-2. Indesteege and Preneel presented a preimage attack on Tiger reduced to 13 rounds (out of 24) with a complexity of 2128.5. Our new preimage attack finds a one-block preimage of Tiger reduced to 16 rounds with a complexity of 2161. The proposed attack is based on meet-in-the-middle attacks. It seems difficult to find "independent words" of Tiger at first glance, since its key schedule function is much more complicated than that of MD4 or MD5. However, we developed techniques to find independent words efficiently by controlling its internal variables. Surprisingly, the similar techniques can be applied to SHA-2 including both SHA-256 and SHA-512. We present a one-block preimage attack on SHA-256 and SHA-512 reduced to 24 (out of 64 and 80) steps with a complexity of 2240 and 2480, respectively. To the best of our knowledge, our attack is the best known preimage attack on reduced-round Tiger and our preimage attack on reduced-step SHA-512 is the first result. Furthermore, our preimage attacks can also be extended to second preimage attacks directly, because our attacks can obtain random preimages from an arbitrary IV and an arbitrary target.
Hierarchical phrase-based translation with weighted finite state transducers
Authors: Gonzalo Iglesias, Adrià de Gispert, Eduardo R. Banga, William Byrne
Venue: Proceedings of Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics (2009)

This paper describes a lattice-based decoder for hierarchical phrase-based translation. The decoder is implemented with standard WFST operations as an alternative to the well-known cube pruning procedure. We find that the use of WFSTs rather than k-best lists requires less pruning in translation search, resulting in fewer search errors, direct generation of translation lattices in the target language, better parameter optimization, and improved translation performance when rescoring with long-span language models and MBR decoding. We report translation experiments for the Arabic-to-English and Chinese-to-English NIST translation tasks and contrast the WFST-based hierarchical decoder with hierarchical translation under cube pruning.
Fast Mode Decision Algorithm Using Efficient Block Skip Techniques for H.264 P Slices
Authors: Youngsub Jo, Jongmin You, Wonkyun Kim, Jechang Jeong
Venue: Proceedings of the 2009 First International Conference on Advances in Multimedia (2009)

In this paper, we propose a fast algorithm that can reduce the complexity for inter mode decision of the H.264 encoder by minimizing a large number of calculations of inter mode decision process adaptively. The main idea is to use the technique skipping unnecessary macroblock modes. We focus on two block size modes, which is 16x16 and 8x8 block size modes, in proposed algorithm. The percentage of 16x16 block size modes is the largest in most of the sequences. This means that many redundant mode calculations can be removed. The percentage of 8x8 block size mode is small. But time consumption caused in the mode decision of encoder is very considerable. Therefore if we can extract the unnecessary 8x8 block size mode calculation well, a large amount of time can be saved in total encoding process. The experimental results show that the proposed algorithm can achieve up to 43% speed up ratio with a little PSNR loss. Increase of total bits encoded is also not much noticeable.
A New Method for Fuzzy Multiple Attribute Decision Making Based on Interval Numbers
Authors: Pan Dongjing
Venue: Proceedings of the 2009 International Forum on Information Technology and Applications - Volume 03 (2009)

In multiple attribute decision making, attribute value and attribute weight can't be often given the exact value, they are sometimes given in the form of interval numbers. This paper first describes interval numbers multiple attribute decision making, defines interval numbers, positive ideal point and negative ideal point of interval numbers. Then proposes a new method for fuzzy multiple attribute decision making, computes the distance between each alternative and positive, negative ideal point of interval numbers, then finds out each alternative' closeness degree for ideal point, according to closeness degree, we can order the alternatives. Finally, an example is given to illustrate the proposed methods, the example shows this method's validity and feasibility.
Encountering SenseCam: personal recording technologies in everyday life
Authors: David H. Nguyen, Gabriela Marcu, Gillian R. Hayes, Khai N. Truong, James Scott, Marc Langheinrich, Christof Roduner
Venue: Proceedings of the 11th international conference on Ubiquitous computing (2009)

In this paper, we present a study of responses to the idea of being recorded by a ubicomp recording technology called SenseCam. This study focused on real-life situations in two North American and two European locations. We present the findings of this study and their implications, specifically how those who might be recorded perceive and react to SenseCam. We describe what system parameters, social processes, and policies are required to meet the needs of both the primary users and these secondary stakeholders and how being situated within a particular locale can influence responses. Our results indicate that people would tolerate potential incursions from SenseCam for particular purposes. Furthermore, they would typically prefer to be informed about and to consent to recording as well as to grant permission before any data is shared. These preferences, however, are unlikely to instigate a request for deletion or other action on their part. These results inform future design of recording technologies like SenseCam and provide a broader understanding of how ubicomp technologies might be taken up across different cultural and political regions.
Designing Interaction for Next Generation Personal Computing
Authors: Giorgio Michelis, Marco Loregian, Claudio Moderini, Patrizia Marti, Cesare Colombo, Liam Bannon, Cristiano Storni, Marco Susani
Venue: Proceedings of the 12th IFIP TC 13 International Conference on Human-Computer Interaction: Part II (2009)

Over two decades of research in the field of Interaction Design and Computer Supported Cooperative Work convinced us that the current design of workstations no longer fits users' needs. It is time to design new personal computers based on metaphors alternative to the desktop one. With this SIG, we are seeking to involve international HCI professionals into the challenges of designing products that are radically new and tackling the many different issues of modern knowledge workers. We would like to engage a wider cross-section of the community: our focus will be on issues of development and participation and the impact of different values in our work.
Design of Embedded Cropland Data Acquisition and Processing System Based On Xscale and WinCE
Authors: Dong Yibing, Wang Lang
Venue: Proceedings of the 2009 International Forum on Information Technology and Applications - Volume 01 (2009)

In precision agriculture technology system, cropland data acquisition acts as the foundation as well as the weakness of our country’s research on this field. In this dissertation, according to the present actual demands, an embedded cropland data acquisition and processing system is designed. The system is supposed to achieve many tasks such as agricultural sensors data acquisition, GPS information acquisition and navigation. During the process of design, factors such as performance, cost, and expansibility are all taken into account. The hardware is based on a 32-bit Embedded microprocessor with high performance but low power consumption--Intel Xscale PXA270, while the real-time operating system is Windows CE 5.0. This design has very important practical significance to speed up the process of agricultural modernization in China.
Hybrid Markov logic networks
Authors: Jue Wang, Pedro Domingos
Venue: Proceedings of the 23rd national conference on Artificial intelligence - Volume 2 (2008)

Markov logic networks (MLNs) combine first-order logic and Markov networks, allowing us to handle the complexity and uncertainty of real-world problems in a single consistent framework. However, in MLNs all variables and features are discrete, while most real-world applications also contain continuous ones. In this paper we introduce hybrid MLNs, in which continuous properties (e.g., the distance between two objects) and functions over them can appear as features. Hybrid MLNs have all distributions in the exponential family as special cases (e.g., multivariate Gaussians), and allow much more compact modeling of non-i.i.d. data than propositional representations like hybrid Bayesian networks. We also introduce inference algorithms for hybrid MLNs, by extending the MaxWalkSAT and MC-SAT algorithms to continuous domains. Experiments in a mobile robot mapping domain--involving joint classification, clustering and regression--illustrate the power of hybrid MLNs as a modeling language, and the accuracy and efficiency of the inference algorithms.
Minimally Invasive Plate Osteosynthesis with Systems with Angular Stability in Complex Distal Femoral Fractures. Design, Biomechanics and Clinical Results
Authors: P. D. Sirbu, E Carata, T. Petreus, R. Asaftei, P. Botez
Venue: Proceedings of the 2009 Advanced Technologies for Enhanced Quality of Life (2009)

The Less InvasiveStabilizationSystem-Distal Femur(LISS-DF) and Locked Compression Plate-Distal Femur(LCP-DF) systems are internal fixators whichavoid the problems related to the bone-implant interfaces.The purpose of this study is to present the biomechanics of the internal fixators as well as to evaluate the results in treating the complex distal femoral fractures using these systems. The clinical study included 15 fractures(3 type A2, 5 type A3, 4 type C2 and 3 type C3/AO). All fractures healed within a mean time of 12,4 weeks (with no infections, implant breakage or secondary displacement).These plates with angular stability represent the unique answer in difficult fractures with short distal fragment,osteoporotic fractures, fractures above knee arthroplasties and some open fractures.
An Automatic Configuration Method for Teaching Management Process
Authors: Hui Li, Haiyang Wang
Venue: Proceedings of the 2009 WRI Global Congress on Intelligent Systems - Volume 04 (2009)

In order to solve the unsteadiness of business process caused by the constantly changing requirements in the Web circumstances, we propose in this paper an automatic configuration method for business process based on rules, with teaching management in colleges as research background. We first define the basic activities of each process and their mutual relations. When it is run-time, business process that satisfies current requirement will be automatically configured according to context and business rules. Any changes of requirement can be reflected in the business rules, so that business process is capable of changing along with requirement without having to alter its applied logic.
Skolem + Tetration Is Well-Ordered
Authors: Mathias Barra, Philipp Gerhardy
Venue: Proceedings of the 5th Conference on Computability in Europe: Mathematical Theory and Computational Practice (2009)

The problem of whether a certain set of number-theoretic functions --- defined via tetration (i.e. iterated exponentiation) --- is well-ordered by the majorisation relation, was posed by Skolem in 1956. We prove here that indeed it is a computable well-order, and give a lower bound ¿ 0 on its ordinal.
The Design of a Virtual Trailblazing Tool
Authors: Daniel Iaboni, Carolyn Macgregor
Venue: Proceedings of the 3rd International Conference on Virtual and Mixed Reality: Held as Part of HCI International 2009 (2009)

Trails are a proven means of improving performance in virtual environments (VE) but there is very little understanding or support for the role of the trailblazer. The Use-IT Lab is currently designing a tool, the VTrail System, to support trailblazing in VE's. The objective of this document is to introduce the concept of trailblazing, present the initial prototype for a tool designed specifically to support trailblazing and discuss results from an initial usability study.
Timed P Automata
Authors: Roberto Barbuti, Andrea Maggiolo-Schettini, Paolo Milazzo, Luca Tesei
Venue: Fundamenta Informaticae (2009)

To study systems whose dynamics changes with time, an extension of timed P systems is introduced in which evolution rules may vary with time. The proposed model is a timed automaton with a discrete time domain and in which each state is a timed P system. A result on expressive power and on features of the formalism sufficient for full expressiveness is proved and, as an application example, the model of an ecological system is given.
Data Fusion in Wireless Sensor Networks
Authors: Yebin Chen, Jian Shu, Sheng Zhang, Linlan Liu, Limin Sun
Venue: Proceedings of the 2009 Second International Symposium on Electronic Commerce and Security - Volume 02 (2009)

Wireless sensor networks (WSNs) are resource-constrained networks, especially when the energy is highly constrained; the application of WSNs is severely restricted. Data fusion can effectively reduce the volume of data transmission in the network, reduce the energy consumption to extend network lifetime and improve bandwidth utilization, as a result, it can overcome the restriction of energy and bandwidth. This paper gives a survey on classical data fusion in wireless sensor networks from the following aspects: constructing an aggregation tree and data correlation processing, etc. And finally the direction of further study on data fusion is also pointed out.
Senior citizens and the ethics of e-inclusion
Authors: Emilio Mordini, David Wright, Kush Wadhwa, Paul Hert, Eugenio Mantovani, Jesper Thestrup, Guido Steendam, Antonio D'Amico, Ira Vater
Venue: Ethics and Information Technology (2009)

The ageing society poses significant challenges to Europe's economy and society. In coming to grips with these issues, we must be aware of their ethical dimensions. Values are the heart of the European Union, as Article 1a of the Lisbon Treaty makes clear: "The Union is founded on the values of respect for human dignity¿". The notion of Europe as a community of values has various important implications, including the development of inclusion policies. A special case of exclusion concerns the gap between those people with effective access to digital and information technology and those without access to it, the "digital divide", which in Europe is chiefly age-related. Policies to overcome the digital divide and, more generally speaking, e-inclusion policies addressing the ageing population raise some ethical problems. Among younger senior citizens, say those between 65 and 80 years old, the main issues are likely to be universal access to ICT and e-participation. Among the older senior citizens, say those more than 80 years old, the main issues are mental and physical deterioration and assistive technology. An approach geared towards the protection of human rights could match the different needs of senior citizens and provide concrete guidance to evaluate information technologies for them.
Learning Approach to Analyze Tumour Heterogeneity in DCE-MRI Data During Anti-cancer Treatment
Authors: Alessandro Daducci, Umberto Castellani, Marco Cristani, Paolo Farace, Pasquina Marzola, Andrea Sbarbati, Vittorio Murino
Venue: Proceedings of the 12th Conference on Artificial Intelligence in Medicine: Artificial Intelligence in Medicine (2009)

The paper proposes a learning approach to support medical researchers in the context of in-vivo cancer imaging, and specifically in the analysis of Dynamic Contrast-Enhanced MRI (DCE-MRI) data. Tumour heterogeneity is characterized by identifying regions with different vascular perfusion. The overall aim is to measure volume differences of such regions for two experimental groups: the treated group, to which an anticancer therapy is administered, and a control group. The proposed approach is based on a three-steps procedure: (i) robust features extraction from raw time-intensity curves, (ii) sample-regions identification manually traced by medical researchers on a small portion of input data, and (iii) overall segmentation by training a Support Vector Machine (SVM) to classify the MRI voxels according to the previously identified cancer areas. In this way a non-invasive method for the analysis of the treatment efficacy is obtained as shown by the promising results reported in our experiments.
Parallel Algorithms for the Weighted Distance Transform on Linear Arrays with a Reconfigurable Pipelined Bus System
Authors: Horng-Ren Tsai
Venue: Proceedings of the 9th International Conference on Algorithms and Architectures for Parallel Processing (2009)

In this paper, based on the advantages of both optical transmission and electronic computation, we first provide an O(log log N) bus cycles parallel algorithm for weighted distance transforms of an N×N binary image on a linear array with a reconfigurable pipelined bus system using N 2 processors. By increasing the number of processors, the proposed algorithm can be run in O(loglog q N) and O(1) bus cycles using qN 2 and N 2 + 1/¿ processors respectively, where $2 \leq q \leq \sqrt{N}, \varepsilon$ is a constant and ¿ ¿ 1. These results improve on previously known algorithms developed on various parallel computation models.
Research and Implementation of Distributed Access Control and Traffic Statistics Based on XORP
Authors: Qiang Guo, Zongshui Xiao, Juan Yuan, Jibin Su
Venue: Proceedings of the 2009 Asia-Pacific Conference on Information Processing - Volume 01 (2009)

In high-speed network, access control and traffic statistics which are deploied on single node router cause a sharp decline in router forwarding performance. Using extensible architecture and inter-process communication mechanism of XORP,we integrate access control and traffic statistics module into the original structure, in order to achieve a distributed access control and traffic statistics.This can reduce the load of router on access node of high-speed network.
A Neural Approach for SME's Credit Risk Analysis in Turkey
Authors: Gülnur Derelioğlu, Fikret Gürgen, Nesrin Okay
Venue: Proceedings of the 6th International Conference on Machine Learning and Data Mining in Pattern Recognition (2009)

This study presents a neural approach which cascades a neural classifier which is multilayer perceptron (MLP) and a neural rule extractor (NRE) for real-life Small and Medium Enterprises (SMEs) in Turkey. In feature selection stage, decision tree (DT), recursive feature extraction (RFE), factor analysis (FA), principal component analysis (PCA) methods are implemented. In this stage, the RFE approach gave the best result in terms of classification accuracy and minimal input dimension. Then, in classification stage, a MLP that is used for preprocessing is followed by a NRE. The MLP makes a decision for customers as being "good" or "bad" and the NRE reveals the rules how the classifier reached at the final decision. In the experiments, Turkish SME database has 512 samples. The proposed approach compared with k-NN and SVM classifiers. It was observed that the MLP-NRE was slightly better than SVM and local k-NN.
A New Ultralightweight RFID Protocol with Mutual Authentication
Authors: Y.-C. Lee, Y.-C. Hsieh, P.-S. You, T.-C. Chen
Venue: Proceedings of the 2009 WASE International Conference on Information Engineering - Volume 02 (2009)

Due to the well-developed technology and its variety of applications, the Radio Frequency Identifications (RFIDs) become more and more popular. In many applications such as authentication, the RFID systems need security mechanism to resist all possible attacks and threats. However, most of the security mechanisms always too complex on computation or need large memory space such that they are not suit for low-cost RFIDs. In this paper, we propose a new ultralightweight RFID authentication protocol with mutual authentication. The protocol requires only simple bit-wise operations and can resist various attacks.
The Feature Importance Ranking Measure
Authors: Alexander Zien, Nicole Krämer, Sören Sonnenburg, Gunnar Rätsch
Venue: Proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases: Part II (2009)

Most accurate predictions are typically obtained by learning machines with complex feature spaces (as e.g. induced by kernels). Unfortunately, such decision rules are hardly accessible to humans and cannot easily be used to gain insights about the application domain. Therefore, one often resorts to linear models in combination with variable selection, thereby sacrificing some predictive power for presumptive interpretability. Here, we introduce the Feature Importance Ranking Measure (FIRM), which by retrospective analysis of arbitrary learning machines allows to achieve both excellent predictive performance and superior interpretation. In contrast to standard raw feature weighting, FIRM takes the underlying correlation structure of the features into account. Thereby, it is able to discover the most relevant features, even if their appearance in the training data is entirely prevented by noise. The desirable properties of FIRM are investigated analytically and illustrated in simulations.
Exploring 2D/3D Input Techniques for Medical Image Analysis
Authors: Elena Zudilova-Seinstra, Peter Sloot, Patrick de Koning, Avan Suinesiaputra, Rob van der Geest, Johan Reiber
Venue: Proceedings of the 2009 Second International Conference in Visualisation (2009)

We describe a series of experiments that compared the 2D and 3D input methods for selection and positioning tasks related to medical image analysis. For this study, we chose a switchable P5 Glove Controller, which can be used to provide both 2DOF and 6DOF input control. Our results suggest that for both tasks the overall completion time and accuracy can be improved when the input device with more degrees of freedom is used for manipulation of the visualized medical data. However, 3D input appeared to be more beneficial for the positioning task than for the selection task.