ppxscal/embedding_network huggingface dataset:
Flexible simulations for manufacturing
Authors: Christopher Milligan, Doug Meiser
Venue: Proceedings of the 40th Conference on Winter Simulation (2008)

The Kroger Co. is one of the largest retailers in the United States. Its manufacturing division produces 43% of corporate brand units sold in its stores. Kroger's 15 dairies operate at near-full capacity and produce all varieties of fluid milk, orange juice, cultured products such as yogurt and cottage cheese, novelty treats and non-carbonated beverages. Kroger and Visual8 Corp. have created a Flexible Dairy Cooler Simulator which is used in the analysis of production schedules, cooler layouts, picking methods, staffing levels, and shipping schedules at each dairy. The tool offers the flexibility to represent, through a drag-and-drop interface, the layout of any current or future Kroger Dairy. This presentation will demonstrate how this tool is being used to help Kroger streamline operations while improving customer service levels, and explore the tactical value of day-to-day use of a standardized simulation tool in the manufacturing environment.
Ranking hypotheses to minimize the search cost in probabilistic inference models
Authors: Peter Damaschke
Venue: Discrete Applied Mathematics (2009)

Suppose that we are given n mutually exclusive hypotheses, m mutually exclusive possible observations, the conditional probabilities for each of these observations under each hypothesis, and a method to probe each hypothesis whether it is the true one. We consider the problem of efficient searching for the true (target) hypothesis given a particular observation. Our objective is to minimize the expected search cost for a large number of instances, and for the worst-case distribution of targets. More precisely, we wish to rank the hypotheses so that probing them in the chosen order is optimal in this sense. Costs grow monotonic with the number of probes. While it is straightforward to formulate this problem as a linear program, we can solve it in polynomial time only after a certain reformulation: We introduce mn^2 the so-called rank variables and arrive at another linear program whose solution can be translated afterwards into an optimal mixed strategy of low description complexity: For each observation, at most n rankings, i.e., permutations of hypotheses, appear with positive probabilities. Dimensionality arguments yield further combinatorial bounds. Possible applications of the optimization goal are discussed.
Route-Split Routing Resilient to Simultaneous Failure for Mobile Ad Hoc Networks
Authors: Tsuyoshi Mizumoto, Tomoyuki Ohta, Yoshiaki Kakuda
Venue: IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences (2008)

As the performance of each node becomes higher, it is expected that the ad hoc network is used for the community network in which a few thousands of mobile nodes exist. In such a network, the number of hops between a source node and a destination node also becomes longer. However, as the route becomes longer, it is difficult to provide the robust and reliable route for mobile ad hoc networks since the multiple route breaks occur at the same time due to the topology change. Therefore, this paper proposes a Route-Split Routing resilient to simultaneous failure (RSR). RSR sets up multiple Subroute Management Nodes (SMN's) on the route and each SMN manages the subroute between the SMN and the neighboring SMN. When the multiple route breaks occur at the same time, each subroute is repaired by the SMN. Consequently, RSR can reduce the number of control packets used for the route repair and mitigate the network congestion even in case that the number of nodes in the network becomes very larger.
One-Dimensional Localization Algorithm Based on Signal Strength Ratio
Authors: Xinyu Yang, Qingru Kong, Xiaoyang Xie
Venue: International Journal of Distributed Sensor Networks (2009)

Localization algorithm in wireless sensor networks has attracted significant interest in recent years. The RSSI approach is considered as the cheapest solution allowing coarse-grain, yet effective for many applications in outdoor environments. However, when environments change, there exists a big localization error using RSSI without a reconstructing data set. In order to solve the problem of reestablishing the data set when the environments change, a novel one-dimensional localization algorithm based on received signal strength ratio (1-DIM-RSSR) is proposed for the one-dimensional wireless sensor network applications, such as road surveillance and pipeline transmission. While synthetically considering accuracy, power consumption, localization time, and device costs, we can only use coordinate x to locate the nodes by defining y as 0. Our algorithm is based on the theory as follows: the values of Signal Strength vary from one environment to another. When environments change, even the distance between the transmitter and the receiver remains unchanged, but there is still at least 10dBm's difference. On the contrary, the ratio of the received signal strength from two base stations varies little in the condition of the unchanged distance, and thus it avoids reconstructing the dataset when environments change. 1-DIM-RSSR comprises of two phases: the data set construction phase and the localization phase. In the first phase, N reference nodes are uniformly distributed between the two base stations BS1 and BS2. We collect the signal strength RRi1 and RRi2 from BS1 and BS2 respectively and get signal strength ratio Ri = RRi1/RRi2 at each point, where i ε [1, N] corresponding to the N references nodes. In the localization phase, we record the signal strength ratio R' of mobile nodes and pick the one that best matches the observed signal strength ratio. Our idea is to compute the distance |Ri-R'| at a fixed set of locations, and then pick the location that minimizes the distance. Simulation and experiment results show that localization precision of the proposed algorithm compared with the RSSI algorithm is improved when the environments change. The proposed method is easy to operate, and need not reconstruct the dataset when the environments change. So this method holds the promise for many applications such as monitoring product lines, road surveillance, and pipeline transmission. Meanwhile, since our algorithm is based on 1-D localization, how to extend this conception to 2-D or even 3-D localization will be our ongoing work.
The Poisson sum formulae associated with the fractional Fourier transform
Authors: Bing-Zhao Li, Ran Tao, Tian-Zhou Xu, Yue Wang
Venue: Signal Processing (2009)

The theorem of sampling formulae has been deduced for band-limited or time-limited signals in the fractional Fourier domain by different authors. Even though the properties and applications of these formulae have been studied extensively in the literature, none of the research papers throw light on the Poisson sum formula and non-band-limited signals associated with the fractional Fourier transform (FrFT). This paper investigates the generalized pattern of Poisson sum formula from the FrFT point of view and derived several novel sum formulae associated with the FrFT. Firstly, the generalized Poisson sum formula is obtained based on the relationship of the FrFT and the Fourier transform; then some new results associated with this novel sum formula have been derived; the potential applications of these new results in estimating the bandwidth and the fractional spectrum shape of a signal in the fractional Fourier domain are also proposed. In addition, the results can be seen as the generalization of the classical results in the Fourier domain.
Selecting the most preferable alternatives in a group decision making problem using DEA
Authors: M. Zerafat Angiz L., A. Emrouznejad, A. Mustafa, A. Rashidi Komijan
Venue: Expert Systems with Applications: An International Journal (2009)

Group decision making is the study of identifying and selecting alternatives based on the values and preferences of the decision maker. Making a decision implies that there are several alternative choices to be considered. This paper uses the concept of Data Envelopment Analysis to introduce a new mathematical method for selecting the best alternative in a group decision making environment. The introduced model is a multi-objective function which is converted into a multi-objective linear programming model from which the optimal solution is obtained. A numerical example shows how the new model can be applied to rank the alternatives or to choose a subset of the most promising alternatives.
The Guanzhong Urban Cluster Spatial Structure Evolves Systems Dynamics Simulation
Authors: Jingdong Chen, Xianhua Han, Guoqiang Xiong
Venue: Proceedings of the 2009 International Conference on Computer Modeling and Simulation (2009)

This article focuses on the complex dynamic relation of development system for urban cluster, which has analyzed the Guanzhong urban cluster space polar nucleus structure and the evolved characteristic. According to the analysis the article has established the systems dynamics model for Guanzhong urban cluster spatial structure evolution development, and it has carried on the simulation examination. The findings have the positive significance to the urban cluster spatial arrangement plan as well as the urban cluster spatial structure and the layout theory, the development systems dynamics application scope, in the practice the findings also have certain reference value to promote the economical development of Guanzhong urban cluster.
Economic statistical design of non-uniform sampling scheme X bar control charts under non-normality and Gamma shock using genetic algorithm
Authors: F. L. Chen, C. H. Yeh
Venue: Expert Systems with Applications: An International Journal (2009)

This paper presented an approach which simultaneously considered the properties of cost and quality based on the Burr distribution and the non-unifampling scheme. The objective was to determine three parameters, namely, sample size, sampling interval between successive samples, and control limits, when an X bar chart monitors a manufacturing process with Gamma (@l, 2) failure characteristic and non-normal data. The design parameters of the X bar control charts can be obtained through the genetic algorithm (GA) method. An example was also adopted to indicate the solution procedure and sensitivity analyses. The results show that an increase of skewness coefficient (@a"3) results in a slight decrease for sample size (n) while an increase of kurtosis coefficient (@a"4) leads to a wider control limit width.
A novel approach for process mining based on event types
Authors: Lijie Wen, Jianmin Wang, Wil M. Aalst, Biqing Huang, Jiaguang Sun
Venue: Journal of Intelligent Information Systems (2009)

Despite the omnipresence of event logs in transactional information systems (cf. WFM, ERP, CRM, SCM, and B2B systems), historic information is rarely used to analyze the underlying processes. Process mining aims at improving this by providing techniques and tools for discovering process, control, data, organizational, and social structures from event logs, i.e., the basic idea of process mining is to diagnose business processes by mining event logs for knowledge. Given its potential and challenges it is no surprise that recently process mining has become a vivid research area. In this paper, a novel approach for process mining based on two event types, i.e., START and COMPLETE, is proposed. Information about the start and completion of tasks can be used to explicitly detect parallelism. The algorithm presented in this paper overcomes some of the limitations of existing algorithms such as the ¿-algorithm (e.g., short-loops) and therefore enhances the applicability of process mining.
An Improved Automatic Term Recognition Method for Spanish
Authors: Alberto Barrón-Cedeño, Gerardo Sierra, Patrick Drouin, Sophia Ananiadou
Venue: Proceedings of the 10th International Conference on Computational Linguistics and Intelligent Text Processing (2009)

The $C\mbox{-}value/NC\mbox{-}value$ algorithm, a hybrid approach to automatic term recognition, has been originally developed to extract multiword term candidates from specialised documents written in English. Here, we present three main modifications to this algorithm that affect how the obtained output is refined. The first modification aims to maximise the number of real terms in the list of candidates with a new approach for the stop-list application process. The second modification adapts the $C\mbox{-}value$ calculation formula in order to consider single word terms. The third modification changes how the term candidates are grouped, exploiting a lemmatised version of the input corpus. Additionally, size of candidate's context window is variable. We also show the necessary linguistic modifications to apply this algorithm to the recognition of term candidates in Spanish.
Research on the model of ship parametrical-highly excitation nonlinear dynamics system
Authors: Zunyi Wang, Ligang Lu, Kun Wang
Venue: WSEAS TRANSACTIONS on SYSTEMS (2008)

Chaotic and periodic motion of ship parametrical- highly excitation rolling dynamics system is researched by qualitative analysis method. Firstly, approximately harmonic solution is gained by researching the system model's harmonic solution bifurcation with the theorem of Poincaré. Secondly, approximately subharmonic solution is gained by researching system's sub-harmonic solution bifurcation. Lastly, chaotic motion performance of dynamics system is talked by function.
Fast communication: Beam steering for wideband arrays
Authors: Wei Liu, Stephan Weiss
Venue: Signal Processing (2009)

A detailed analysis of the relationship between the steered beam response and the original one is provided for wideband beamforming based on a uniform linear array. It is shown that after adding steering delays to the originally received wideband array signals, the main beam will be shifted to the desired directions. However, for the sidelobe region, for one side, it is shifted out of the visible area; for the other side, it is not a simple shifted-back of those shifted out, but exhibits a very complicated pattern.
System design of group communication activator: an entertainment task for elderly care
Authors: Yoichi Matsuyama, Hikaru Taniyama, Shinya Fujie, Tetsunori Kobayashi
Venue: Proceedings of the 4th ACM/IEEE international conference on Human robot interaction (2009)

Our community is facing serious Aging Society especially in Japan. We have investigated in one of daycare centers which are facilities for elderly care. As the result, we realized that communication is needed for its own sake in these facilities and active communication can cure even depression and dementia. Therefore we propose to cope with these problems using a robot as a communication activator in order to improve group communication. We define group communication as one of types of communication which is formed by several persons. This time, we focus on a recreation game named "Nandoku". Nandoku is a quiz which can be described as group communication with a master of ceremony (MC). The system always selects its behavior and target (a participant in the game) to maximize "communication activeness." Communication activeness is defined as amount of several panelists'(ordinary three: A, B, C) participation, which are calculated with panelists' face direction using camera information. For instance, if participant A is not fully participating by not making eye contact, the system is expected to select one of the behaviors such as "Can you answer, Mr.A?" to encourage A to participate in the game. We experimented with the system in a daycare center. As the result, obvious increase in participation was observed. That offers evidence that the robot can serve a practical role in improving the group communication as a communication activator especially for entertainment use.
A multithreading embedded architecture
Authors: Lan Dong, Xiufeng Sui
Venue: Proceedings of the 7th conference on Data networks, communications, computers (2008)

More embedded microprocessors are emerging and more multithreaded tasks need to be executed simultaneously on embedded device. This paper proposes a multithreaded architecture for embedded processor. It improves the system performance in a large degree meanwhile considering reducing energy dissipation and improving the cache utilization in limited size.
Applications of the Connection between Approximation Theory and Algebra
Authors: Dana Simian, Corina Simian
Venue: Numerical Analysis and Its Applications: 4th International Conference, NAA 2008, Lozenetz, Bulgaria, June 16-20, 2008. Revised Selected Papers (2009)

The aim of this paper is to illustrate a possibility of obtaining various theoretical results using the connection between multivariate interpolation and reduction process with respect to a H-basis of an ideal. Using this connection we can switch between interpolation theory and the theory of ideals. As a application of this connection, we found and proved an interesting identity, which is satisfied for all polynomials in d variables from an interpolation polynomial subspace.
Thermal-aware reliability analysis for platform FPGAs
Authors: Prasanth Mangalagiri, Sungmin Bae, Ramakrishnan Krishnan, Yuan Xie, Vijaykrishnan Narayanan
Venue: Proceedings of the 2008 IEEE/ACM International Conference on Computer-Aided Design (2008)

Increasing levels of integration in Field Programmable Gate Arrays, have resulted in high on-chip power densities, and temperatures. The heterogeneity of components and scaled feature sizes in Platform FPGAs have made them vulnerable to various temperature dependent failure mechanisms. Hence, we need to introduce temperature awareness in tackling such failures that affect the lifetime reliability of FPGAs. In this paper, we present a Dynamic Thermal-aware Reliability Management (DTRM) framework to analyze the impact of temperature variations on the longterm/lifetime reliability of Platform FPGAs. We first study the temperature variations, both across and with-in designs, due to the use of various hard-blocks within a 65nm Platform FPGA. In the presence of such variations, we demonstrate the vulnerability of Platform FPGAs to two different hard-failures, namely, Electromigration, and Time Dependent Dielectric Breakdown (TDDB). We also analyze the performance degradation caused by Negative Bias Temperature Instability (NBTI) in the presence of thermal-variations. We validate the temperature variations estimated by the DTRM framework using a ring oscillator based real-time temperature measurement technique.
Departure process in a mixed fork-join synchronization network
Authors: Muhammad El-Taha
Venue: Computers Mathematics with Applications (2009)

In this article we consider a mixed fork-join synchronization Markovian queueing network consisting of two input buffers, B"1 and B"2, fed by arrivals from two populations. The first is a finite population of size K and second population is infinite. The first population feeds the first buffer and the second population feeds the second finite buffer. As soon as there is one part in each buffer, two parts one from each buffer are joined and exit immediately. We provide model analysis, performance measures, and characterization of the departure process; in particular we provide the marginal distribution of inter-departure times.
Intelligent Support for End-User Web Interface Customization
Authors: José A. Macías, Fabio Paternò
Venue: Engineering Interactive Systems: EIS 2007 Joint Working Conferences, EHCI 2007, DSV-IS 2007, HCSE 2007, Salamanca, Spain, March 22-24, 2007. Selected Papers (2008)

Nowadays, while the number of users of interactive software steadily increase, new applications and systems appear and provide further complexity. An example of such systems is represented by multi-device applications, where the user can interact with the system through different platforms. However, providing end-users with real capabilities to author user interfaces is still a problematic issue, which is beyond the ability of most end-users today. In this paper, we present an approach intended to enable users to modify Web interfaces easily, considering implicit user intents inferred from example interface modifications carried out by the user. We discuss the design issues involved in the implementation of such an intelligent approach, also reporting on some experimental results obtained from a user test.
Technical data mining with evolutionary radial basis function classifiers
Authors: Markus Bauer, Oliver Buchtala, Timo Horeis, Ralf Kern, Bernhard Sick, Robert Wagner
Venue: Applied Soft Computing (2009)

This article deals with two key problems of data mining, the automation of the data mining process and the integration of human domain experts. We show how an evolutionary algorithm (EA) can be used to optimize radial basis function (RBF) neural networks used for classification tasks. First, input features will be chosen from a set of possible input features (feature selection). Second, the number of hidden neurons is adapted (model selection). It is known that interpretable (fuzzy-type) rule sets may be extracted from RBF networks. We show how appropriate training algorithms for RBF networks and penalty terms in the fitness function of the EA may improve the understandability of the extracted rules. The properties of our approach are set out by means of two industrial application examples (process identification and quality control).
Adaptive Training Strategy of Distal Movements by Means of a Wrist-Robot
Authors: Lorenzo Masia, Nestor Nava Rodriguez, Maura Casadio, Pietro Morasso, Giulio Sandini, Psiche Giannoni
Venue: Proceedings of the 2009 Second International Conferences on Advances in Computer-Human Interactions (2009)

This paper presents the design, and performance of a high fidelity three degree-of-freedom wrist exoskeleton robot, for neuroscience study, training and rehabilitation. The IIT-Wrist is intended to provide kinesthetic feedback during the training of motor skills or rehabilitation of reaching movements. Motivation for such applications is based on findings that show robot-assisted physical therapy aids in the rehabilitation process following neurological injuriesIn the present paper the IIT-Wrist haptic robot is described in terms of kinematics and haptics features to meet specific requirements for a safety human.machine interaction. In relation with a feasibility study in the field of robot therapy a preliminary training of stroke patient was perfrormed. The task consisted in tracking a target using one degree of freedom at time: Flexion/Extension, Adduction/Abduction, Pronation/Supination separately. The target motion is harmonic and tracking is aided by a suitable force field. The preliminary study with three patients shows the stability and the efficacy of the control scheme.