ppxscal/embedding_network huggingface dataset:
How Product Differentiation Affects Online Shopping
Authors: A. Walkyria Goode
Venue: Proceedings of the Symposium on Human Interface 2009 on ConferenceUniversal Access in Human-Computer Interaction. Part I: Held as Part of HCI International 2009 (2009)

Online product comparison sites aid consumers in making purchase decisions by providing information regarding product attributes, reviews and retailers. Despite the enormous research on information processing and consumer behavior, little has been directed at investigating how information display impacts online purchase choices. Cognitive theory is used to evaluate whether the order in which consumers receive information influence their decision making. An experiment with 60 participants was performed. Results indicate that no order effects mediated choice among alternatives with equal utility. However, preference was observed for a particular type of product. While all the products had the same overall rating, this product had both a larger number of high and low ratings. It is suggested that this was a sufficient condition to differentiate the product listed in this position from the other products.
ADALINE based robust control in robotics: a Riemann-Liouville fractional differintegration based learning scheme
Authors: Mehmet &#x00d6;nder Efe
Venue: Soft Computing - A Fusion of Foundations, Methodologies and Applications (2008)

This paper presents an approach to improve the performance of intelligent sliding model control achieved by the use of a fundamental constituent of soft computing, named Adaptive Linear Element (ADALINE). The proposed scheme is based on the fractional calculus. A previously considered tuning scheme is revised according to the rules of fractional order differintegration. After a comparison with the integer order counterpart, it is seen that the control system with the proposed adaptation scheme provides (1) better tracking performance, (2) suppression of undesired drifts in parameter evolution and (3) a very high degree of robustness and insensitivity to disturbances. The claims are justified through some simulations utilizing the dynamic model of a two degrees of freedom (DOF) direct drive robot arm and overall, the contribution of the paper is to introduce the fractional order calculus into a robust and nonlinear control problem with some outperforming features that are absent when the integer order differintegration operators are adopted.
Design of Cognitive Radio Node Engine Based on Genetic Algorithm
Authors: Xiao-qin Zhang, Yu-qing Huang, Hong Jiang, Yong Liu
Venue: Proceedings of the 2009 WASE International Conference on Information Engineering - Volume 02 (2009)

The radio frequency spectrum is a scarce natural resource, so it is very important to use the spectrum efficiently. Cognitive radio, which can greatly improve the spectrum utilization, is able to adjust the transmit parameters according to the environment. In this paper, an adaptive multi-objective genetic algorithm is proposed to design the cognitive radio engine. In order to improve the performance of the algorithm, adaptive mutation mechanism and the elite strategy is introduced into the proposed algorithm. Moreover, the proposed algorithm is used to design a cognitive radio engine in a multi-carrier system with ten sub-carriers. The simulation results show that the proposed algorithm is feasible and effective.
Design of IAM Function in ERP Systems
Authors: Shi-sheng Zhu, Tao Wang, Ya-jun Deng, Xiao-zhu Xie
Venue: Proceedings of the 2009 Second International Symposium on Electronic Commerce and Security - Volume 01 (2009)

This paper proposes a correct design method for the identification of the user identity in Enterprise Resource Planning (ERP) application system, aimed at the existence of the Identity and Access Management (IAM) in security field. Among this paper, this design method adopts multi-factor authentication technology to customize the firewall of ERP system, uses AES and MD5 algorithm to encrypt the preserved or transmitted data, and connect IAM system to ERP system smoothly by the communications of processes. Consequently, it will avoid the attacks from outside or inside the system, and provide a reliable guarantee for system resources of security management.
Multi-objective Evolutionary Approach for Biometric Fusion
Authors: Kushan Ahmadian, Marina Gavrilova
Venue: Proceedings of the 2009 International Conference on Biometrics and Kansei Engineering (2009)

In recent years, a noticeable amount of research has been focused on biometric fusion. A new area is looking at utilization of AdaBoost-type learning methods in biometric fusion domain. These methods rely on an idea that by selecting a variety of biometric classifiers the error rate can be reduced. This paper presents a new evolutionary algorithm based on the multi-objective genetic approach, which automatically preserves diversity in face detection system. The proposed algorithm creates classifiers based on the amount of error computed for each class, and then uses multi-objective genetic algorithm to combine them to produce a set of powerful ensembles. The application is developed for face detection biometric system.
A Study of Interorganizational Process Refactoring Based on Inheritance Technology
Authors: Zhijun Yan, Tianmei Wang
Venue: Proceedings of the 2009 Second International Symposium on Electronic Commerce and Security - Volume 02 (2009)

The formal modeling and correctness analysis of interorganizational business processes is one of the hot topics in business process management. This paper focuses on the modeling and refactoring of interorganizational processes with the integrated view of process activities and data. The data-oriented interorganizational process modeling method is proposed. Based on the inheritance concept from software engineering, two kinds of process inheritance are defined to analyze the proper adjustment of interorganizational processes. Moreover, the refactoring stage and curve of interorganizational processes are identified.
Quantitative Evaluation of Side-Channel Security
Authors: Huiyun Li, Tingding Chen, Keke Wu, Fengqi Yu
Venue: Proceedings of the 2009 Asia-Pacific Conference on Information Processing - Volume 02 (2009)

There have been enormous research efforts dedicated to new countermeasures against side-channel attacks. However, very few reports were published about how to quantitatively verify their effectiveness. This paper presents statistical approaches of quantitative evaluation in respect of time disarrangement and side-channel magnitude confusion. The statistical mean value of the cross correlation coefficients measures the effectiveness of time disarrangement. The difference between the highest two correlation factors out of the key guesses is assessed to evaluate the effectiveness of side-channel magnitude confusion. Experiment results demonstrate that the proposed evaluation approaches are accurate and feasible. Eliminating requirement of reference makes the evaluations applicable in objective assessment of various devices by any designers or evaluators.
Research on Embedded Real-Time Database Model Based on Wireless
Authors: Chi Tao, Li Tuo, Huang Danfeng
Venue: Proceedings of the 2009 First International Workshop on Database Technology and Applications (2009)

In the modern greenhouse management system, it not only requires the embedded database to have datum managerial ability like the traditional database, but also requires there can be certain real-time character in the embedded database system. This paper combines the characteristics of agriculture engineering, real-time embedded system, and database system, understanding the inner link between the three aspects, to study the design and implementation technology of the embedded database system. Due to constraints of the existing infrastructure (data storage, communication, etc), it is often difficult to deliver these datum to remote areas in a timely and efficient manner. The application built with embedded database has relied on a model where a field worker with a mobile PDA records the on-site information. In this connected state, the PDA and a centralized server can exchange information and get the collected data backed up on reliable media.
Word level bitwidth reduction for unbounded hardware model checking
Authors: Per Bjesse
Venue: Formal Methods in System Design (2009)

In this paper we present a word-level model checking method that attempts to speed up safety property checking of industrial netlists. Our aim is to construct an algorithm that allows us to check both bounded and unbounded properties using standard bit-level model checking methods as back-end decision procedures, while incurring minimum runtime penalties for designs that are unsuited to our analysis. We do this by combining modifications of several previously known techniques into a static abstraction algorithm which is guaranteed to produce bit-level netlists that are as small or smaller than the original bitblasted designs. We evaluate our algorithm on several challenging hardware components.
Unite and conquer
Authors: Galina V. Glazko, Frank Emmert-Streib
Venue: Bioinformatics (2009)

Motivation: Recently, many univariate and several multivariate approaches have been suggested for testing differential expression of gene sets between different phenotypes. However, despite a wealth of literature studying their performance on simulated and real biological data, still there is a need to quantify their relative performance when they are testing different null hypotheses. Results: In this article, we compare the performance of univariate and multivariate tests on both simulated and biological data. In the simulation study we demonstrate that high correlations equally affect the power of both, univariate as well as multivariate tests. In addition, for most of them the power is similarly affected by the dimensionality of the gene set and by the percentage of genes in the set, for which expression is changing between two phenotypes. The application of different test statistics to biological data reveals that three statistics (sum of squared t-tests, Hotelling's T2, N-statistic), testing different null hypotheses, find some common but also some complementing differentially expressed gene sets under specific settings. This demonstrates that due to complementing null hypotheses each test projects on different aspects of the data and for the analysis of biological data it is beneficial to use all three tests simultaneously instead of focusing exclusively on just one. Contact: Galina_Glazko@urmc.rochester.edu Supplementary information: Supplementary data are available at Bioinformatics online.
From Rules to Constraint Programs with the Rules2CP Modelling Language
Authors: François Fages, Julien Martin
Venue: Recent Advances in Constraints: 13th Annual ERCIM International Workshop on Constraint Solving and Constraint Logic Programming, CSCLP 2008, Rome, Italy, June 18-20, 2008, Revised Selected Papers (2009)

In this paper, we present a rule-based modelling language for constraint programming, called Rules2CP. Unlike other modelling languages, Rules2CP adopts a single knowledge representation paradigm based on rules without recursion, and a restricted set of data structures based on records and enumerated lists given with iterators. We show that this is sufficient to model constraint satisfaction problems, together with search strategies where search trees are expressed by logical formulae, and heuristic choice criteria are defined by preference orderings on variables and formulae. We describe the compilation of Rules2CP statements to constraint programs over finite domains, by a term rewriting system and partial evaluation. We prove the confluence of these transformations and provide a complexity bound on the size of the generated programs. The expressiveness of Rules2CP is illustrated first with simple examples, and then with a complete library for packing problems, called PKML, which, in addition to pure bin packing and bin design problems, can deal with common sense rules about weights, stability, as well as specific packing business rules. The performances of both the compiler and the generated code are evaluated on Korf's benchmarks of optimal rectangle packing problems.
Fourth Order Approximation with Complexity Reduction Approach for the Solution of Time Domain Maxwell Equations in Free Space
Authors: Mohammad Khatim Hasan, Mohamed Othman, Zulkifly Abbas, Jumat Sulaiman, Fatimah Ahmad
Venue: Proceedings of the International Conference on Computational Science and Its Applications: Part I (2009)

Propagation of electromagnetic fields from an antenna in a free space can always be modelled by time domain Maxwell equations. The equations have been used since their creation by Maxwell. Finite difference time domain (FDTD) method has been used since 1966 to model the propagation of electromagnetic fields. Previously, we have developed a new version of FDTD method called HSLO-FDTD. The method has shown to solve a 1D free space wave propagation problem 67% faster than the conventional FDTD. The parallel version of the method is then extended to solve 2D free space wave propagation problem. It is found that the method is 85.2% faster than the parallel FDTD method. In this paper, we further extend the method using the combination of fourth order approximation with the complexity reduction approach. The method shows to be faster than the conventional FDTD to simulate the 2D free space wave propagation problem.
A Closed Loop Control Framework for Blast Furnace Ironmaking Process
Authors: Xiang-guan Liu, Gang Zhou
Venue: Proceedings of the 2009 WRI Global Congress on Intelligent Systems - Volume 02 (2009)

Blast furnace iron making is a complex industrial system involving control of multi-subsystems. The ultimate objective is to design a closed loop controller to maintain silicon content in hot metal at an appropriate level. Considering the interaction of the subsystems, a hierarchical model structure is proposed which includes 4 levels of models, e.g., mechanism model based on chaotic kinetics, inferential model based on fuzzy method, optimization models for operating variables and model predictive control method for silicon content in hot metal. This model structure takes all aspects of iron making process into account and provides a theoretical framework for closed loop control of blast furnace iron making.
Long Term Evolution: 3GPP LTE Radio and Cellular Technology, 1st edition
Authors: Borko Furht, Syed A. Ahson
Venue:  (2009)

While 3G has been an outstanding success, the ever-growing demand for higher data rates and higher quality mobile communication services continues to fuel conflict between the rapidly growing number of users and limited bandwidth resources. In the future, a 100-fold increase in mobile data traffic is expected. That will necessitate further improvements to 3GPP LTE (Long-Term Evolution) and create limitless opportunities for engineers who understand the technology and how to apply it to deliver enhanced services.Long Term Evolution: 3GPP LTE Radio and Cellular Technology outlines the best way to position yourself now for future success. With coverage ranging from basic concepts to current research, this comprehensive reference contains technical information about all aspects of 3GPP LTE. It details low chip rate, high-speed downlink/uplink packet access (HSxPA)/TDSCDMA EV 1x, LTE TDD, and 3G TDD. It introduces new technologies and covers methodologies to study the performance of frequency allocation schemes. The authors also discuss the proposed architecture of Mobile IPRR and distributed dynamic architecture in wireless communication, covering performance evaluation of the TD-SCDMA LTE System.With each passing day, more and more users are demanding mobile broadband data access everywhere, to facilitate synchronization of e-mails, Internet access, specific applications, and file downloads to mobile devices such as cell phones, smart phones, PDAs, and notebooks. LTE, successor to the 3G mobile radio network, is essential to creating radio coverage in the rollout phase and high capacity all over the radio cell in the long term. The 3GPP LTE will become increasingly crucial to supporting the high demand of data traffic rates generated by future mobile user terminals. Authored by international experts in the field, this practical book is an extremely valuable guide that addresses emerging current and future technologies associated with LTE and its future direction.
Dynamic movement and positioning of embodied agents in multiparty conversations
Authors: Dušan Jan, David R. Traum
Venue: Proceedings of the Workshop on Embodied Language Processing (2007)

For embodied agents to engage in realistic multiparty conversation, they must stand in appropriate places with respect to other agents and the environment. When these factors change, for example when an agent joins a conversation, the agents must dynamically move to a new location and/or orientation to accommodate. This paper presents an algorithm for simulating the movement of agents based on observed human behavior using techniques developed for pedestrian movement in crowd simulations. We extend a previous group conversation simulation to include an agent motion algorithm. We examine several test cases and show how the simulation generates results that mirror real-life conversation settings.
Filling statistics with linguistics: property design for the disambiguation of German LFG parses
Authors: Martin Forst
Venue: Proceedings of the Workshop on Deep Linguistic Processing (2007)

We present a log-linear model for the disambiguation of the analyses produced by a German broad-coverage LFG, focussing on the properties (or features) this model is based on. We compare this model to an initial model based only on a part of the properties provided to the final model and observe that the performance of a log-linear model for parse selection depends heavily on the types of properties that it is based on. In our case, the error reduction achieved with the log-linear model based on the extended set of properties is 51.0% and thus compares very favorably to the error reduction of 34.5% achieved with the initial model.
Recent Advances in Computational Conformal Geometry
Authors: X. D. Gu, F. Luo, S. -T. Yau
Venue: Proceedings of the 13th IMA International Conference on Mathematics of Surfaces XIII (2009)

Computational conformal geometry focuses on developing the computational methodologies on discrete surfaces to discover conformal geometric invariants. In this work, we briefly summarize the recent developments for methods and related applications in computational conformal geometry. There are two major approaches, holomorphic differentials and curvature flow. The holomorphic differential method is a linear method, which is more efficient and robust to triangulations with lower quality. The curvature flow method is nonlinear and requires higher quality triangulations, but more flexible. The conformal geometric methods have been broadly applied in many engineering fields, such as computer graphics, vision, geometric modeling and medical imaging. The algorithms are robust for surfaces scanned from real life, general for surfaces with different topologies. The efficiency and efficacy of the algorithms are demonstrated by the experimental results.
Which Econometric Specification to Characterize the U.S. Inflation Rate Process?
Authors: Mohamed Boutahar, David Gbaguidi
Venue: Computational Economics (2009)

The current study takes place in a univariate context and we seek to determine an econometric model leading to best characterize the U.S. inflation rate dynamic. In order to achieve this, three types of specifications, associated with three possible evolutions of the expected rate are considered. The first allows an overall instability of the trend or the expected inflation rate. The second considers an alternative specification in which the expected inflation rate is unstable in periodic segments of the sample. Finally, the last specification allows instability of a "mixed" type in which the trend inflation rate is assumed to be random or subject to a probability schema. The results of our study indicate that this last specification is the one that gives the most adequate characterization of the inflation rate dynamic. The inflation rate thus appears generated by a second order autoregressive process with, on the one hand, unchanging lag coefficients and, on the other, a unconditional mean which switches between three globals different frequency regimes of accession.
New Regularized Algorithms for Transductive Learning
Authors: Partha Pratim Talukdar, Koby Crammer
Venue: Proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases: Part II (2009)

We propose a new graph-based label propagation algorithm for transductive learning. Each example is associated with a vertex in an undirected graph and a weighted edge between two vertices represents similarity between the two corresponding example. We build on Adsorption, a recently proposed algorithm and analyze its properties. We then state our learning algorithm as a convex optimization problem over multi-label assignments and derive an efficient algorithm to solve this problem. We state the conditions under which our algorithm is guaranteed to converge. We provide experimental evidence on various real-world datasets demonstrating the effectiveness of our algorithm over other algorithms for such problems. We also show that our algorithm can be extended to incorporate additional prior information, and demonstrate it with classifying data where the labels are not mutually exclusive.
Division Unit for Binary Integer Decimals
Authors: Tomás Lang, Alberto Nannarelli
Venue: Proceedings of the 2009 20th IEEE International Conference on Application-specific Systems, Architectures and Processors (2009)

In this work, we present a radix-10 division unit that is based on the digit-recurrence algorithm and implements binary encodings (Binary Integer Decimal or BID) for significands. Recent decimal division designs are all based on the Binary Coded Decimal (BCD) encoding. We adapt the radix-10 digit-recurrence algorithm to BID representation and implement the division unit in standard cell technology. The implementation of the proposed BID division unit is compared to that of a BCD based unit implementing the same algorithm. The comparison shows that for normalized operands the BID unit has the same latency as the BCD unit and reduced area, but the normalization is more expensive when implemented in BID.
Structural Hole and Personal Innovativeness in a Bureau of Health
Authors: Hsieh-Hua Yang, Hung-Jen Yang, Fen Fen Huang, Ke-Wu Yao
Venue: Proceedings of the 2009 International Conference on Advances in Social Network Analysis and Mining (2009)

The objective of this study is to explore the relationship of structural hole and personal innovativeness in a bureau of health. The subjects were the employees in the bureau of health and three health stations. They were asked about the personal innovativeness and the relations with their colleagues including the director, and vice director. The questions to uncover important network relationship included knowledge awareness, access, and problem solving. UCINET6 was applied to analyze the social network data and constraint and efficiency were used as the indicators of structural hole. Of the 118 questionnaires distributed, a total of 81 effective responses were received, showing a 68.6% response rate. The result showed that the higher efficiency the more innovativeness. It is concluded that social network with rich structural holes provides opportunities for having time and energy to be innovative. Managerial implication and future research were discussed.