ppxscal/embedding_network huggingface dataset:
Study on the Design of LAS Code in the LAS-CDMA
Authors: Kai Mo, Hong He, Li Li, Xianwei Zhu
Venue: Proceedings of the 2009 International Forum on Information Technology and Applications - Volume 01 (2009)

The paper mainly studies the designs of LA, LS and LAS codes. Then it makes simulation for theirs auto-correlation functions and cross-correlation functions. Simulation and analysis show that, LAS code has zero cross-correlation in the "Zero Interference Window", and has only an impulse auto-correlation in the "Zero Interference Window", and these excellent features help to eliminate ACI, MAI and ISI, thus it increases the system capacity largely. So it has more large potential than traditional codes
Clinical Simulation - Efficacy and Tendency in Medical Technological Education
Authors: Elena Toader, Daniela Damir
Venue: Proceedings of the 2009 Advanced Technologies for Enhanced Quality of Life (2009)

The development of technology and using it on a large scale of medical devices implictes also legal, and social problems. The orientation of practical activities towards clinical simulation is specific to medical training, assuring a greater particularization in the training of the medical staff, contributing in a significant manner to the growth of practical performances and ethical responsibility. By reproduing a realistic medium, simulation does not substitutes clinical experience but completes it, assures the patient a safety and a better preparation for the medical staff.
A novel machine learning approach for the identification of named entity relations
Authors: Tianfang Yao, Hans Uszkoreit
Venue: Proceedings of the ACL Workshop on Feature Engineering for Machine Learning in Natural Language Processing (2005)

In this paper, a novel machine learning approach for the identification of named entity relations (NERs) called positive and negative case-based learning (PNCBL) is proposed. It pursues the improvement of the identification performance for NERs through simultaneously learning two opposite cases and automatically selecting effective multi-level linguistic features for NERs and non-NERs. This approach has been applied to the identification of domain-specific and cross-sentence NERs for Chinese texts. The experimental results have shown that the overall average recall, precision, and F-measure for 14 NERs are 78.50%, 63.92% and 70.46% respectively. In addition, the above F-measure has been enhanced from 63.61% to 70.46% due to adoption of both positive and negative cases.
Design space for driver-based automotive user interfaces
Authors: Dagmar Kern, Albrecht Schmidt
Venue: Proceedings of the 1st International Conference on Automotive User Interfaces and Interactive Vehicular Applications (2009)

Over the last 100 years it has become much easier to operate a car. However in recent years the number of functions a user can control while driving has greatly increased. Infotainment, entertainment and comfort systems as well as driver assistance contribute to this trend. Interaction with these systems plays an important role, as on one hand this can improve the user experience while driving but on the other hand it may distract from the primary task of driving. User interfaces in cars differ regarding the number of input and output devices and their placement in the car to a great extent. In this paper, we introduce a first design space for driver-based automotive user interfaces that allows a comprehensive description of input and output devices in a car with regard to placement and modality. This design space is intended to provide a basis for analyzing and discussing different user interface arrangements in cars, to compare alternative user interface setups, and to identify new opportunities for interaction and placement of controls. We present a graphical representation of the design space and discuss its usage in detail based on several examples. To assess the completeness of the proposed design space we used it to classify and compare user interfaces from more than 100 cars shown at IAA2007, cars from the BMW museum, and from the A2Mac1 image database.
Efficient human computation: the distributed labeling problem
Authors: Ran Gilad-Bachrach, Aharon Bar-Hillel, Liat Ein-Dor
Venue: Proceedings of the ACM SIGKDD Workshop on Human Computation (2009)

Collecting large labeled data sets is a laborious and expensive task, whose scaling up requires division of the labeling workload between many teachers. When the number of classes is large, miscorrespondences between the labels given by the different teachers are likely to occur, which, in the extreme case, may reach total inconsistency. In this study we describe how globally consistent labels can be obtained, despite the absence of teacher coordination, and discuss the possible efficiency of this process in terms of human labor. We define a notion of label efficiency, measuring the ratio between the number of globally consistent labels obtained and the number of labels provided by distributed teachers. We show that the efficiency depends critically on the ratio &alpha; between the number of data instances seen by a single teacher, and the number of classes. We suggest several algorithms for the distributed labeling problem, and analyze their efficiency as a function of &alpha;. In addition, we provide an upper bound on label efficiency for the case of completely uncoordinated teachers, and show that efficiency approaches 0 as the ratio between the number of labels each teacher provides and the number of classes drops (i.e. &alpha; &rarr; 0).
Personalized Location-Based Recommendation Services for Tour Planning in Mobile Tourism Applications
Authors: Chien-Chih Yu, Hsiao-Ping Chang
Venue: Proceedings of the 10th International Conference on E-Commerce and Web Technologies (2009)

Travel and tour planning is a process of searching, selecting, grouping and sequencing destination related products and services including attractions, accommodations, restaurants, and activities. Personalized recommendation services aim at suggesting products and services to meet users' preferences and needs, while location-based services focus on providing information based on users' current positions. Due to the fast growing of user needs in the mobile tourism domain, how to provide personalized location-based tour recommendation services becomes a critical research and practical issue. The objective of this paper is to propose a system architecture and design methods for facilitating the delivery of location-based recommendation services to support personalized tour planning. Based on tourists' current location and time, as well as personal preferences and needs, various recommendations regarding sightseeing spots, hotels, restaurants, and packaged tour plans can be generated efficiently. An application prototype is also implemented to illustrate and test the system feasibility and effectiveness.
Optimal Restocking Fees and Information Provision in an Integrated Demand-Supply Model of Product Returns
Authors: Jeffrey D. Shulman, Anne T. Coughlan, R. Canan Savaskan
Venue: Manufacturing Service Operations Management (2009)

Product returns cost U.S. companies more than $100 billion annually. The cost and scale of returns management issues necessitate a deeper understanding of how to deal with product returns. We develop an analytical model that describes how consumer purchase and return decisions are affected by a seller's pricing and restocking fee policy. Taking into account the consumers' strategic behavior, we derive the seller's optimal policy as a function of consumer preferences, consumer uncertainty about product attributes, consumer hassle cost for returns, and the effectiveness of the seller's forward and reverse channel capability. We allow for two sources of consumer uncertainty and show how the seller may use its price and restocking fee as a means of targeting a segment of consumers who know their product consumption utilities. We find that even if it is possible to eliminate returns costlessly through the provision of information about the fit between consumer preferences and product characteristics, returns can nevertheless be part of an optimal product sales process. That is, we identify conditions under which it is (or is not) optimal to provide product fit information to consumers. We show that the marginal value of information to the seller is decreasing in the operational efficiency of the seller's forward and reverse logistics process as well as the level of product uncertainty. We identify the impact of multiple product options and sources of consumer uncertainty on the model's results. The analysis generates testable hypotheses about how consumer-level and seller-level parameters affect the return policies observed in the marketplace.
A nexus of Cyber-Geography and Cyber-Psychology: Topos/"Notopia" and identity in hacking
Authors: Fivos Papadimitriou
Venue: Computers in Human Behavior (2009)

This paper explores the Cyber-Psychological and Cyber-Geographic aspects of hacking and hacktivism. An examination of the literature related to hackers and hacking reveals a complex nexus of spatial (including cyber-spatial such as ''Notopia'') and psychological aspects of hacking, from which emerges a central question of how humans perceive and manipulate their cyber-identities. Concealing (real and cyber) identities is typical in hacking. With our progressive acculturation with identity-less and place-less modes of existence, our cyber-identities through time may be studied from within John Locke's criterion of ''memory'' and the spatial-geographical criterion of identity.
Applying GSAT to non-clausal formulas
Authors: Roberto Sebastiani
Venue: Journal of Artificial Intelligence Research (1993)

In this paper we describe how to modify GSAT so that it can be applied to nonclausal formulas. The idea is to use a particular "score" function which gives the number of clauses of the CNF conversion of a formula which are false under a given truth assignment. Its value is computed in linear time, without constructing the CNF conversion itself. The proposed methodology applies to most of the variants of GSAT proposed so far.
Application of Grey Relation Analysis in Evaluation of Water Quality
Authors: Changjun Zhu, Zhenchun Hao
Venue: Proceedings of the 2009 International Conference on Environmental Science and Information Application Technology - Volume 01 (2009)

In view of the deficiency of classic method evaluating water quality. A grey relational analysis model is proposed to evaluate water quality in river. The principle of grey relational analysis and its process are introduced. Suzhou river was selected and assessed by using this method. And it was found that, compared with the fuzzy complex judgment method, the result was remarkably different. The possible reason for this was given. Additionally, this paper proposes preventive measures against river contamination, which could provide a basis for marine environment protection.
Safety Monitoring Information System of Urban Subway
Authors: Dongwei Qiu, Qinghuai Liang, Qiuping Li, Runze Wu
Venue: Proceedings of the 2009 WASE International Conference on Information Engineering - Volume 02 (2009)

The monitoring of safety in construction for urban subway is an important procedure of guaranteeing construction safety and engineering quality. Deformation of the buildings around the subway route, settlement of the road and pipelines, displacement of soil mass, convergence and vault sink of the tunnel etc. should be monitored during the subway construction. Prompt computation, analysis and information feedback to monitoring data are necessary. The monitoring data processing and analysis involve a large amount of mathematical calculation, drawing, geography location and tabulation. The paper describes a monitoring and analysis information system to deal with, analyses the data of construction monitoring and provide information feedback in time for the safety in urban subway construction. The application of this system to the urban subway construction in Beijing, China shows that it can high-accuracy monitor the deformation of subway tunnel, manage and analyze monitoring data, provide the location and status of construction monitoring points. The monitoring and analysis information system supports strong technological support on the safety construction of subway.
Deep levels and nonlinear characterization of AlGaN/GaN HEMTs on silicon carbide substrate
Authors: M. Gassoumi, J. M. Bluet, C. Gaquière, G. Guillot, H. Maaref
Venue: Microelectronics Journal (2009)

Deep levels in AlGaN/GaN high electron mobility transistors (HEMTs) on SiC substrate are known to be responsible for trapping processes like: threshold voltage shift, leakage current, degradation current, kink effect and hysteresis effect. The related deep levels are directly characterized by conductance deep level transient spectroscopy (CDLTS) method. Hereby, we have detected five carrier traps with activation energy ranging from 0.84 to 0.07eV. In this study, we have revealed the presence of two hole-like traps (HL1 and HL2) observed for the first time by CDLTS with activations energy of 0.40 and 0.84eV. The localisation and the identification of these traps are presented. Finally, the correlation between the anomalies observed on output and defects is discussed.
Physical search problems applying economic search models
Authors: Yonatan Aumann, Noam Hazon, Sarit Kraus, David Sarne
Venue: Proceedings of the 23rd national conference on Artificial intelligence - Volume 1 (2008)

This paper considers the problem of an agent searching for a resource or a tangible good in a physical environment, where at each stage of its search it observes one source where this good can be found. The cost of acquiring the resource or good at a given source is uncertain (a-priori), and the agent can observe its true value only when physically arriving at the source. Sample applications involving this type of search include agents in exploration and patrol missions (e.g., an agent seeking to find the best location to deploy sensing equipment along its path). The uniqueness of these settings is that the expense of observing the source on each step of the process derives from the last source the agent explored. We analyze three variants of the problem, differing in their objective: minimizing the total expected cost, maximizing the success probability given an initial budget, and minimizing the budget necessary to obtain a given success probability. For each variant, we first introduce and analyze the problem with a single agent, either providing a polynomial solution to the problem or proving it is NP-Complete. We also introduce an innovative fully polynomial time approximation scheme algorithm for the minimum budget variant. Finally, the results for the single agent case are generalized to multi-agent settings.
Specification and Enforcement of Static Separation-of-Duty Policies in Usage Control
Authors: Jianfeng Lu, Ruixuan Li, Zhengding Lu, Jinwei Hu, Xiaopu Ma
Venue: Proceedings of the 12th International Conference on Information Security (2009)

Separation-of-Duty (SoD) policy is a fundamental security principle for prevention of fraud and errors in computer security. The research of static SoD (SSoD) policy in recently presented usage control (UCON) model has not been explored. Consequently, this paper attempts to address two important issues: the specification and enforcement of SSoD in UCON. We give a set-based specification scheme, which is simpler and more general than existing approaches. As for the enforcement, we study the problem of determining whether an SSoD policy is enforceable, and show that directly enforcing an SSoD policy is a coNP-complete problem. In indirect enforcement, we generate the least restrictive static mutually exclusive attribute (SMEA) constraints to enforce SSoD policies, by using the attribute level SSoD requirement as an intermediate step. The results are fundamental to understanding the effectiveness of using constraints to enforce SSoD policies in UCON.
RBF Algorithm and its Application in Multi-Reach Water Quality Simulation
Authors: Changjun Zhu, Xiujuan Zhao
Venue: Proceedings of the 2009 International Conference on Computational Intelligence and Natural Computing - Volume 02 (2009)

Based on the theory and method of neural network, and analysis of multi-reach water quality model, a model of RBF water quality model was presented, the model was trained and examined with the data of water quality of Fuyang river in Handan city. The results indicate that the model is more accurate than traditional model and is feasible for water quality simulation.
The Double Digest Problem: finding all solutions
Authors: S. Sur-Kolay, S. Banerjee, S. Mukhopadhyaya, C. A. Murthy
Venue: International Journal of Bioinformatics Research and Applications (2009)

The strongly NP-complete Double Digest Problem (DDP), for physical mapping of DNA, is now used for efficient genotyping. Existing methods: are inefficient in tackling large instances; produce only one solution while an instance may have multiple distinct solutions. In this paper, we employ the notion of equivalence among the distinct solutions to obtain almost all of them. Our method comprises two phases: finding a representative from each equivalence class using an elitist Genetic Algorithm (GA); for each representative generating the entire class efficiently. Experimental results tally for known instances. Significant reduction in search space provides notable efficiency.
Invention Of Integrated Circuits: Untold Important Facts
Authors: Arjun N. Saxena
Venue: International Series On Advances In Solid State Electronics Technology (2009)

This book is the first to give an authoritative and comprehensive account of the invention of Integrated Circuits (ICs) from an insider who had participated and contributed from the beginning of their invention and advancement to the Ultra Large Scale ICs (ULSICs) of today. It reads like a mystery novel to engross the reader, but it is not based on fiction; it gives documented facts of the invention of ICs, analyzes the patents, and highlights additional details and clarifications to its history. The ACM Portal is published by the Association for Computing Machinery. Copyright © 2010 ACM, Inc. Terms of Usage Privacy Policy Code of Ethics Contact Us Useful downloads: Adobe Acrobat QuickTime Windows Media Player Real Player
Partially-synchronized DEC-MDPs in dynamic mechanism design
Authors: Sven Seuken, Ruggiero Cavallo, David C. Parkes
Venue: Proceedings of the 23rd national conference on Artificial intelligence - Volume 1 (2008)

In this paper, we combine for the first time the methods of dynamic mechanism design with techniques from decentralized decision making under uncertainty. Consider a multi-agent system with self-interested agents acting in an uncertain environment, each with private actions, states and rewards. There is also a social planner with its own actions, rewards, and states, acting as a coordinator and able to influence the agents via actions (e.g., resource allocations). Agents can only communicate with the center, but may become inaccessible, e.g., when their communication device fails. When accessible to the center, agents can report their local state (and models) and receive recommendations from the center about local policies to follow for the present period and also, should they become inaccessible, until becoming accessible again. Without self-interest, this poses a new problem class which we call partially-synchronized DEC-MDPs, and for which we establish some positive complexity results under reasonable assumptions. Allowing for self-interested agents, we are able to bridge to methods of dynamic mechanism design, aligning incentives so that agents truthfully report local state when accessible and choose to follow the prescribed "emergency policies" of the center.
An attempt to use weighted cusums to identify sublanguages
Authors: Harold Somers
Venue: Proceedings of the Joint Conferences on New Methods in Language Processing and Computational Natural Language Learning (1998)

This paper explores the use of weighted cusums, a technique found in authorship attribution studies, for the purpose of identifying sublanguages. The technique, and its relation to standard cusums (cumulative sum charts) is first described, and the formulae for calculations given in detail. The technique compares texts by testing for the incidence of linguistic 'features' of a superficial nature, e.g. proportion of 2- and 3-letter words, words beginning with a vowel, and so on, and measures whether two texts differ significantly in respect of these features. The paper describes an experiment in which 14 groups of three texts each representing different sublanguages are compared with each other using the technique. The texts are first compared within each group to establish that the technique can identify the groups as being homogeneous. The texts are then compared with each other, and the results analysed. Taking the average of seven different tests, the technique is able to distinguish the sublanguages in only 43% of the case. But if the best score is taken, 79% of pairings can be distinguished. This is a better result, and the test seems able to quantify the difference between sublanguages.
Respiratory parameter estimation in non-invasive ventilation based on generalized Gaussian noise models
Authors: Esra Saatci, Aydin Akan
Venue: Signal Processing (2010)

Modeling of respiratory system under non-invasive ventilation by using measured respiratory signals is of great interest in respiratory mechanics research area. Statistical processing techniques in the time-domain may be utilized as an alternative to the commonly used frequency-domain analysis to estimate model parameters. In this work, we propose using a generalized Gaussian distribution (GGD) to model the measurement noise in the respiratory system identification problem. The parameters of the GGD (i.e. the mean, the variance and the shape) are estimated by maximum likelihood (ML) and moment based estimators. However, the estimation error should also be taken into account which is in fact investigated as measurement innovations together with the measurement noise. Thus the Kalman iterations are applied with the help of the score function to compute the measurement innovations. Finally, the complete picture of the measurement noise and innovation analysis of the respiratory models is obtained which helped us to evaluate the non-Gaussian noise extension in the respiratory system analysis.
Review of automatic document formatting
Authors: Nathan Hurst, Wilmot Li, Kim Marriott
Venue: Proceedings of the 9th ACM symposium on Document engineering (2009)

We review the literature on automatic document formatting with an emphasis on recent work in the field. One common way to frame document formatting is as a constrained optimization problem where decision variables encode element placement, constraints enforce required geometric relationships, and the objective function measures layout quality. We present existing research using this framework, describing the kind of optimization problem being solved and the basic optimization techniques used to solve it. Our review focuses on the formatting of primarily textual documents, including both micro- and macro-typographic concerns. We also cover techniques for automatic table layout. Related problems such as widget and diagram layout, as well as temporal layout issues that arise in multimedia documents are outside the scope of this review.