ppxscal/embedding_network huggingface dataset:
An Approach for Maintaining Models of an E-commerce Collaboration
Authors: Lianne Bodenstaff, Andreas Wombacher, Roel Wieringa, Manfred Reichert
Venue: Proceedings of the 2008 10th IEEE Conference on E-Commerce Technology and the Fifth IEEE Conference on Enterprise Computing, E-Commerce and E-Services (2008)

To keep an overview on complex E-Commerce collaborations several models are used to describe them. When models overlap in describing a collaboration, the overlapping information should not contradict. Models are of differentnature and maintained by different people. Therefore, keeping model-overlap contradiction-free is challenging. In this paper we propose a novel approach for maintaining models representing an E-Commerce collaboration. Applyingthis approach supports avoiding contradictions in modelsduring evolution of E-Commerce collaborations.
Prelude to the panel on what makes good research in modeling & simulation
Authors: Levent Yilmaz, Jeffrey Smith
Venue: Proceedings of the 40th Conference on Winter Simulation (2008)

Modeling and Simulation (M&S) is a unique field, which has been and continues to be influential in the development and growth of numerous science and engineering disciplines. From basic research and concept formulation to diffusion of innovations, M&S rests on fundamental strategies that not only provide guidance to scientists, but also provide explanations for the society and institutions that have stakes in the produced knowledge. We explore the essential components of the professional realm of M&S research to (1) gain better insight about the characteristics of successful and creative M&S research, (2) identify the major components of the M&S profession that need to be nurtured to enable growth and sustainment of its vitality, and (3) help facilitate explanation of the character of simulation discipline to other engineers and scientists at large.
Computer simulation of the operations of utility grid connected photovoltaic power plants
Authors: Chester S. Borden
Venue: Proceedings of the May 19-22, 1980, national computer conference (1980)

In order to evaluate the commercial viability of photovoltaic power systems it is necessary to have reliable estimates and descriptions of the supply of electricity generated by the solar technology, the demand for that electricity, and the market application. A methodology which produces information on performance, cost, and value components of utility grid connected photovoltaic power plants has been developed to assist in these evaluations (References 1, 2). This report describes that analytical model and presents an application to a utility grid connected central power system with a range of operations alternatives.
The Interaction between Chinese Export Price and World Import Price of Tangerines
Authors: Yu Zhao, Yu Zhang, Chunjie Qi
Venue: Proceedings of the 2009 International Asia Conference on Informatics in Control, Automation and Robotics (2009)

With the accelerating of economic globalization, the effect of foreign factors on Chinese tangerines export is more and more obvious, which is mainly expressed as the fluctuation of Chinese tangerines export price. The article uses SVAR, impulse response analysis and variance decomposition to analyze the interaction between Chinese export price and world import price of tangerines from 1961 to 2007. The research shows that: (1) periodicities of the two prices are obvious; (2) fluctuation frequency of Chinese export price is high and its fluctuation range is low, while that of world import price is just the opposite; (3) changes of Chinese export price are mainly affected by its own fluctuation, while world import price is not only affected by its own fluctuation but also shocked by Chinese export price; (4) fluctuation characteristics of two prices indicate that there is serious price distortion in world tangerines market, so it requires carrying on multilateral negotiation under WTO agreement to eliminate trade barriers in tangerines market and to improve the world welfare.
Rotation of CDS via Connected Domatic Partition in Ad Hoc Sensor Networks
Authors: Rajiv Misra, Chittaranjan Mandal
Venue: IEEE Transactions on Mobile Computing (2009)

Wireless ad hoc and sensor networks (WSNs) often require a connected dominating set (CDS) as the underlying virtual backbone for efficient routing. Nodes in a CDS have extra computation and communication load for their role as dominator, subjecting them to an early exhaustion of their battery. A simple mechanism to address this problem is to switch from one CDS to another fresh CDS, rotating the active CDS through a disjoint set of CDSs. This gives rise to the connected domatic partition (CDP) problem, which essentially involves partitioning the nodes V(G) of a graph G into node disjoint CDSs. We have developed a distributed algorithm for constructing the CDP using our maximal independent set (MIS)-based proximity heuristics, which depends only on connectivity information and does not rely on geographic or geometric information. We show that the size of a CDP that is identified by our algorithm is at least \lfloor{\frac{\delta+1}{\beta(c+1)}}\rfloor-f, where \delta is the minimum node degree of G, \beta\leq 2, c\leq 11 is a constant for a unit disk graph (UDG), and the expected value of f is \epsilon\delta|V|, where \epsilon \ll 1 is a positive constant, and \delta \geq 48. Results of varied testing of our algorithm are positive even for a network of a large number of sensor nodes. Our scheme also performs better than other related techniques such as the ID-based scheme.
An unsupervised context-sensitive change detection technique based on modified self-organizing feature map neural network
Authors: Susmita Ghosh, Swarnajyoti Patra, Ashish Ghosh
Venue: International Journal of Approximate Reasoning (2009)

In this paper, we propose an unsupervised context-sensitive technique for change-detection in multitemporal remote sensing images. Here a modified self-organizing feature map neural network is used. Each spatial position of the input image corresponds to a neuron in the output layer and the number of neurons in the input layer is equal to the number of features of the input patterns. The network is updated depending on some threshold value and when the network converges, status of output neurons depict a change-detection map. To select a suitable threshold of the network, a correlation based and an energy based criteria are suggested. The proposed change-detection technique is unsupervised and distribution free. Experimental results, carried out on two multispectral and multitemporal remote sensing images, confirm the effectiveness of the proposed approach.
Performance evaluation for object oriented software systems
Authors: Vipin Saxena, Deepak Arora
Venue: ACM SIGSOFT Software Engineering Notes (2009)

Distributed computing has become an integral part of large and complex computation used in large organizations. It not only hides the complexities of processing from its user but it also delivers high-level security, reliability and availability. In this regard, software and hardware competence must be considered as a performance parameter for any distributed computer system. For maximum throughput, the software running on any hardware architecture should be capable enough to utilize the available resources at its highest efficiency. The main objective of this paper is to measure the performance of processors for different object-oriented software system frameworks. The authors have chosen two types of object oriented software system frameworks: C#, based on Microsoft .NET Framework and Visual C++, based on Microsoft Foundation Classes. For processing needs, two processors: Pentium D and Core 2 Duo are considered, each having multiple execution cores in it. Before evaluating the performance of these processors, a UML model is presented for the process execution in a distributed computing scenario. Along with UML class and sequence diagram, a comparative study between performances of aforesaid software system is also reported.
ANSYS-Based Dynamic Analysis of High-Speed Motorized Spindle
Authors: Weiguang Li, Hongbin Pu, Quanquan Liu, Gang Chen, Song Zhang
Venue: Proceedings of the 2009 International Conference on Computer Engineering and Technology - Volume 02 (2009)

In the paper, the characteristics of mode and harmonic response of the axis of the high-speed motorized spindle are presented with the FEM (Finite Element Method). A dual-dimension model with the FEM is developed and simulated using ANSYS commercial software. The result shows that the rated rotating speed of the high-speed motorized spindle is far smaller than the first-order natural resonance speed, and the dynamic displacement and stiffness do not change significantly compared with the static performance of working of the motorized spindle. The dynamic characteristics of the motorized spindle are accord with the requirements of design.
Constraint handling using tournament selection: Abductive inference in partly deterministic bayesian networks
Authors: Severino F. Galán, Ole J. Mengshoel
Venue: Evolutionary Computation (2009)

Constraints occur in many application areas of interest to evolutionary computation. The area considered here is Bayesian networks (BNs), which is a probability-based method for representing and reasoning with uncertain knowledge. This work deals with constraints in BNs and investigates how tournament selection can be adapted to better process such constraints in the context of abductive inference. Abductive inference in BNs consists of finding the most probable explanation given some evidence. Since exact abductive inference is NP-hard, several approximate approaches to this inference task have been developed. One of them applies evolutionary techniques in order to find optimal or close-to-optimal explanations. A problem with the traditional evolutionary approach is this: As the number of constraints determined by the zeros in the conditional probability tables grows, performance deteriorates because the number of explanations whose probability is greater than zero decreases. To minimize this problem, this paper presents and analyzes a new evolutionary approach to abductive inference in BNs. By considering abductive inference as a constraint optimization problem, the novel approach improves performance dramatically when a BN's conditional probability tables contain a significant number of zeros. Experimental results are presented comparing the performances of the traditional evolutionary approach and the approach introduced in this work. The results show that the new approach significantly outperforms the traditional one.
Sexism: toxic to women's persistence in CSE doctoral programs
Authors: J. McGrath Cohoon, Zhen Wu, Jie Chao
Venue: ACM SIGCSE Bulletin (2009)

Using longitudinal survey data from women in the CRA-W Graduate Cohort program, we measured the prevalence of observed or experienced sexism and its impact on departure from Computer Science and Computer Engineering (CSE) doctoral programs. Our data suggest that sexist behavior is perceived less often by these women than it is by women in general. In addition, few of the women who observe sexism are motivated by it to think of leaving their CSE doctoral programs. Nevertheless, when their reason for thinking of leaving is due to sexism they observed or experienced, the odds of women actually departing are at least 21 times greater than if they thought of leaving for any other reason.
Technical Section: All around the map: Online spherical panorama construction
Authors: Stephen DiVerdi, Jason Wither, Tobias Höllerer
Venue: Computers and Graphics (2009)

One of the main goals of anywhere augmentation is the development of automatic algorithms for scene acquisition in augmented reality systems. In this paper, we present Envisor, a system for online construction of environment maps in new locations. To accomplish this, Envisor uses vision-based frame to frame and landmark orientation tracking for long-term, drift-free registration. For additional robustness, a gyroscope/compass orientation unit can optionally be used for hybrid tracking. The tracked video is then projected into a cubemap frame by frame. Feedback is presented to the user to help avoid gaps in the cubemap, while any remaining gaps are filled by texture diffusion. The resulting environment map can be used for a variety of applications, including shading of virtual geometry and remote presence.
Study on Electronic Image Stabilization System Based on MEMS Gyro
Authors: Yong-xiang Zhang, Wei-gong Zhang, Xiao-xu Zhao, Hui-mei Yuan
Venue: Proceedings of the 2009 International Conference on Electronic Computer Technology (2009)

This paper introduces an electronic image- stabilizing system via Gyro. It adopts the high-precise MEMS Gyro to estimate the motion vector. And then by using digital image process technique, compensation of jittering image sequence can be realized. It is testified by ship-borne reconnaissance system that this system can really produce high image stabilizing precision, present excellent real time processing capacity and meet the demand of 25 frame/s and stabilization precision of one pixel.
A Wide Field-of-view Head Mounted Projective Display using Hyperbolic Half-silvered Mirrors
Authors: Kiyoshi Kiyokawa
Venue: Proceedings of the 2007 6th IEEE and ACM International Symposium on Mixed and Augmented Reality (2007)

The development of a wide field-of-view (FOV) head mounted display (HMD) has been a technological challenge for decades. Previous HMDs tackled this problem using multiple display units (tiling) or multiple curved mirrors. The former approach tends to be expensive and heavy, whereas the latter approach tends to suffer from image distortion and a small exit pupil. In order to provide a wide FOV image with a large exit pupil, the present paper proposes a novel head mounted projective display (HMPD) using a hyperbolic half-silvered mirror, rather than a conventional planar mirror. The first bench-top prototype has successfully shown wide field-of-view projection capability.
Parameterized transient thermal behavioral modeling for chip multiprocessors
Authors: Duo Li, Sheldon X.-D. Tan, Eduardo H. Pacheco, Murli Tirumala
Venue: Proceedings of the 2008 IEEE/ACM International Conference on Computer-Aided Design (2008)

In this paper, we propose a new architecture-level parameterized transient thermal behavioral modeling algorithm for emerging thermal related design and optimization problems for high-performance chip-multiprocessor (CMP) design. We propose a new approach, called ParThermPOF, to build the parameterized thermal performance models from the given architecture thermal and power information. The new method can include a number of parameters such as the locations of thermal sensors in a heat sink, different components (heat sink, heat spread, core, cache, etc.), thermal conductivity of heat sink materials, etc. The method consists of two steps: first, response surface method based on low-order polynomials is applied to build the parameterized models at each time point for all the given sampling nodes in the parameter space. Second, an improved generalized pencil-of-function (GPOF) method is employed to build the transfer-function based behavioral models for each time-varying coefficient of the polynomials generated in the first step. Experimental results on a practical quad-core microprocessor show that the generated parameterized thermal model matchs the given data very well. ParThermPOF is very suitable for design space exploration and optimization where both time and system parameters need to be considered.
Dielectric mismatch effect on coupled impurity states in a freestanding nanowire
Authors: Bin Li, B. Partoens, F. M. Peeters, W. Magnus
Venue: Microelectronics Journal (2009)

We studied the coupled impurity states in a freestanding semiconductor nanowire (NW), within the effective mass approximation and including the effect of the dielectric mismatch, by using finite element method. Bonding and anti-bonding states are found and their energies converge with increasing distance di between the two impurities. The dependence of the binding energy on the wire radius R and the distance di between the two impurities is investigated, and we compare it with the result of a freestanding NW that contains a single impurity.
A Rapid Acquisition Algorithm of WSN-aided GPS Location
Authors: Weizheng Ren
Venue: Proceedings of the 2009 Second International Symposium on Intelligent Information Technology and Security Informatics (2009)

Traditional global positioning system (GPS) is not suitable for indoor location environments. A wireless sensor network (WSN)-aided GPS location algorithm is put forward in this paper in order to realize seamless connection between indoor and outdoor locations and shorten search and acquisition time of GPS signal. The algorithm utilizes auxiliary location information obtained from GPS reference station by the WSN to determine the range of satellites available and realize the rapid acquisition of GPS signal. Simulation results show that GPS signal acquisition time is significantly decreased compared with that based on the traditional GPS.
Model-free multiobjective approximate dynamic programming for discrete-time nonlinear systems with general performance index functions
Authors: Qinglai Wei, Huaguang Zhang, Jing Dai
Venue: Neurocomputing (2009)

In this paper, a forward-in-time optimal control method for a class of discrete-time nonlinear systems with general multiobjective performance indices is proposed with unknown system dynamics. The proposed approximate dynamic programming (ADP) method aims to find out the increments of both the controls and states instead of computing the controls and states directly. Using the technique of dimension augment, the vector-valued performance indices are transformed into additive quadratic form which satisfies the corresponding discrete-time algebraic Riccati equation (DTARE). Both the action and critic networks can be adaptively tuned by adaptive critic methods without the information of the system model. The convergence property is guaranteed by a rigorous mathematical proof and finally the simulation results show the effectiveness of the method.
SCAN-Lite: enterprise-wide analysis on the cheap
Authors: Craig A.N. Soules, Kimberly Keeton, Charles B. Morrey,  III
Venue: Proceedings of the 4th ACM European conference on Computer systems (2009)

Background data analysis due to virus scanning, backup, and desktop search is increasingly prevalent on client systems. As the number of tools and their resource requirements grow, their impact on foreground workloads can be prohibitive. This creates a tension between users' foreground work and the background work that makes information management possible. We present a system called SCAN-Lite that addresses this tension. SCAN-Lite exploits the fact that data in an enterprise is often replicated to efficiently schedule background data analyses. It uses content hashing to identify duplicate content, and scans each unique piece of content only once. It delays scheduling these scans to increase the likelihood that the content will be replicated on multiple machines, thus providing more choices for where to perform the scan. Furthermore, it prioritizes machines to maximize use of idle time and minimize the impact on foreground activities. We evaluate SCAN-Lite using measurements of enterprise replication behavior. We find that SCAN-Lite significantly improves scanning performance over the naive approach, and that it effectively exploits replication to reduce total work done and the impact on client foreground activity.
Quadratic-interval Bass model for new product sales diffusion
Authors: Fang-Mei Tseng, Yi-Chung Hu
Venue: Expert Systems with Applications: An International Journal (2009)

An appropriate new product diffusion method is vital to a business firm for developing marketing strategies aimed at potential adopters. The Bass (1969) [Bass, F. M. (1969). A new product growth model for consumer durables. Management Science, 15, 215-227] model is an important innovation diffusion model used to forecast the growth speed and the potential market volume of innovative products and relies on statistics to explain the relationships between the dependent and independent variables. However, fuzzy relationships are more appropriate for describing the relationships between dependent and independent variables, since these relationships require less data than traditional models to generate reasonable estimates of parameters. Therefore, we have combined fuzzy regression with the Bass model to develop a quadratic-interval Bass diffusion model, and we have applied the models to three cases. When insufficient data are available, quadratic-interval Bass diffusion models are potentially useful tools. However, when there is high variability in the data, the quadratic-interval Bass model should not be used. Our practical application shows that the quadratic-interval Bass model is an appropriate tool that can reveal the best and worst possible sales volume outcomes.
A noble identification system for tumors and implementation
Authors: Shieh-Shing Lin, King-Tan Lee, Jia-Hau Chen, Hen-Chia Hsu
Venue: WSEAS TRANSACTIONS on SYSTEMS (2009)

In this paper, we present a noble identification system for tumor and implement the proposed method in identifying the tumors X-ray data. First, based on the micro-control equipment, we design an identification system that owns the comparison function. The identification system owns the following attractive features: i. the identification system has high accuracy in comparison ability. If there is a slight deviation of a tumor, the identification system points out the coordinate of the tumor. This function of the identification system reduces the working time of the doctors and decreases the misjudging cases. ii. After the judgment of the X-ray data, the suspected tumors position was shown on the display board. We can also transform the patients' tumor data through the network. This special feature helps in group-doctors inter-meeting.
Structured procedure for comparison and selection of computer system designs
Authors: Antonio Vallone
Venue: Proceedings of the May 19-22, 1980, national computer conference (1980)

Decisions about selecting a configuration for a computer system require an unbiased comparison among alternative designs of the system. Several heterogeneous factors need to be considered and their combined effect must be evaluated. The procedure provides a structure to the selection process activities: developing a selection plan, evaluating each design, and ranking the alternatives. It is based on a cost-effectiveness methodology which characterizes each design by the life-cycle cost through a "system cost index" and by the design effectiveness in reaching the system objectives through a "system utility index." The procedure is applicable to the selection of a system, to tradeoff analysis during the system design, and may constitute the framework for the analysis of the risk associated to a design implementation.