ppxscal/embedding_network huggingface dataset:
Efficient calculation of dewatered and entrapped areas using hydrodynamic modeling and GIS
Authors: Marshall C. Richmond, William A. Perkins
Venue: Environmental Modelling Software (2009)

River waters downstream of a hydroelectric project are often subject to rapidly changing discharge. Abrupt decreases in discharge can quickly dewater and expose some areas and isolate other areas from the main river channel, potentially stranding or entrapping fish, which often results in mortality. A methodology is described to estimate the areas dewatered or entrapped by a specific reduction in upstream discharge and applied in a case study. A one-dimensional hydrodynamic model was used to simulate steady flows. Using flow simulation results from the model and a geographic information system (GIS), estimates of dewatered and entrapped areas were made for a wide discharge range. The methodology was applied to the Hanford Reach of the Columbia River in central Washington State. Results showed that a 280 m^3/s discharge reduction affected the most area at discharges less than 3400 m^3/s. At flows above 3400 m^3/s, the affected area by a 280 m^3/s discharge reduction (about 25 ha) was relatively constant. A 280 m^3/s discharge reduction at lower flows affected about twice as much area. The methodology and resulting area estimates have been used to identify discharge regimes, and associated water surface elevations, that might be expected to minimize adverse impacts on juvenile fall chinook salmon (Oncorhynchus tshawytscha) that rear in the shallow near-shore areas in the Hanford Reach.
Purely analytical extraction of an improved nonlinear FinFET model including non-quasi-static effects
Authors: Giovanni Crupi, Dominique M. M. -P. Schreurs, Alina Caddemi, Iltcho Angelov, Majid Homayouni, Antonio Raffo, Giorgio Vannini, Bertrand Parvais
Venue: Microelectronic Engineering (2009)

An analytical procedure is proposed for extracting a new nonlinear FinFET model, which accounts for non-quasi static effects. The accuracy and the robustness of the obtained nonlinear model are completely validated through the comparison between simulated and measured device behaviour in both linear and nonlinear cases. This study clearly shows that the inclusion of the non-quasi-static phenomena leads to significant model simulation improvements, which become more pronounced at higher frequency.
Set Algebra for Service Behavior: Applications and Constructions
Authors: Kathrin Kaschner, Karsten Wolf
Venue: Proceedings of the 7th International Conference on Business Process Management (2009)

Compatibility of behavior, i.e. the correct ordering of messages, is one of the core aspects for the interaction between services as parts of an inter-organizational business process. In previous work, we proposed formal representations for service behavior (including Petri nets and service automata) and finite representations of sets thereof (operating guidelines).In this article, we show how the basic set operations union, intersection, and complement, as well as membership and emptiness tests, can be implemented on finite representations of (typically infinite) sets of services. We motivate the operations by three examples of applications--service substitution, selection of behavior, and navigation in a behavioral registry.
Cities in the Wilderness: A New Vision of Land Use in America
Authors: Bruce Babbitt
Venue:  (2009)

In this brilliant, gracefully written, and important new book, former Secretary of the Interior and Governor of Arizona Bruce Babbitt brings fresh thought to questions of how we can build a future we want to live in.Weve all experienced Americas changing natural landscape as the integrity of our forests, seacoasts, and river valleys succumbs to strip malls, new roads, and subdivisions. Too often, we assume that when land is developed it is forever lost to the natural world--or hope that a patchwork of local conservation strategies can somehow hold up against further large-scale development.In Cities in the Wilderness, Bruce Babbitt makes the case for why we need a national vision of land use. We may have a space program, he points out, but here at home we dont have an open-space policy that can balance the needs for human settlement and community with those for preservation of the natural world upon which life depends. Yet such a balance, the author demonstrates, is as remarkably achievable as it is necessary. This is no call for developing a new federal bureaucracy; Babbitt shows instead how much can be--and has been--done by making thoughtful and beneficial use of laws and institutions already in place.Babbitt draws on his extensive experience to take us behind the scenes negotiating the Florida Everglades restoration project, the largest ever authorized by Congress. In California, we discover how the Endangered Species Act has been employed to restore regional habitat. In the Midwest, we see how new World Trade Organization regulations might be used to help restore Iowas farmlands and rivers. As a key architect of many environmental success stories, Babbitt reveals how broad restoration projects have thrived through federal- state partnerships and how their principles can be extended to other parts of the country. In this inspiring and informative book, Babbitt offers a vision of land use as grand as the countrys natural heritage. 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
Inspire, guide, and entertain: designing a mobile assistant for runners
Authors: Ekaterina Kurdyukova
Venue: Proceedings of the 11th International Conference on Human-Computer Interaction with Mobile Devices and Services (2009)

The paper presents the design of a mobile assistant for runners. We propose visual and auditory user interface for a mobile assistant, called Mobota. The system supports navigation on a new track, provides competition against a virtual rival, monitors real time user performance, entertains and encourages runners. We introduce entertaining and inspiring community notes that convey emotional messages from other sportsmen who exercise on the same track. The design and evaluation of Mobota provides an insight into the specifics of visual and auditory design of running assistants.
Overbooking Increases Patient Access at East Carolina University's Student Health Services Clinic
Venue: Interfaces (2009)

The health-care clinic presented in this study experienced significant numbers of patients who failed to arrive for their scheduled appointments (no-shows). The cost of reducing patient access at this clinic because of no-shows is estimated to exceed $400,000 annually. An interdisciplinary quality-improvement team developed a novel health-care overbooking model that includes the effects of employee burnout. This model estimates the nonlinear nature of the costs associated with medical-provider burnout caused by overbooked appointments that exceed clinic capacity. Several key East Carolina University clinical staff members had been skeptical about the value of overbooking. The model was instrumental in convincing them that implementing an overbooking process would benefit patients and the organization. The clinic, which subsequently implemented such a process, attributes a savings of $95,000 per semester to the initiative.
The Model of Dam Displacement Based on Improved Ant Colony Algorithm-Neural Networks
Authors: Yu-feng Jiang, Juan Wang
Venue: Proceedings of the 2009 First International Workshop on Database Technology and Applications (2009)

According to the problems of the nonlinearity and non-norm on dam displacement prediction, the dam displacement mode based on improved ant colony algorithm-neural networks was proposed. The binary ant colony algorithm has been brought into the optimization of weights in Neural Networks. So that the shortcomings of the ant algorithm using in the combinatorial optimization in continuous field have been overcome, while the embarrassment of BP algorithm being vulnerable into the local optimum have been avoided. Therefore, this improved ant colony algorithm-neural networks can have both rapid global convergence ability of binary ant colony algorithms and extensive mapping ability of neural networks. The dam displacement model based on the new ant colony algorithm-neural networks is built by mixed programming, and it has been used for project application. The analysis result shows that this mode is feasible in nonlinear fitting with a high accuracy, and so provides a new method for dam displacement prediction.
A Multimodal Board Game System Interface Using Finger Input for Visually Impaired Computer Users
Authors: Yusuke Hamaguchi, Daisuke Nagasaka, Takahiro Tamesue, Kazunori Itoh, Michio Shimizu, Masahiko Sugimoto, Masami Hashimoto, Mizue Kayama
Venue: Proceedings of the 5th International Conference on Universal Access in Human-Computer Interaction. Addressing Diversity. Part I: Held as Part of HCI International 2009 (2009)

In this paper, we developed a new board game system on a PC that feels like a real board game. The main improvements of this system are the tactile guide, the finger input interface, and an output method using vibrating stimuli. These improvements allow players to grasp the layout better than previous systems. We evaluate the system using the Othello game. As the result, we see that visually impaired persons can play the Othello game.
Graph Matching Based on Node Signatures
Authors: Salim Jouili, Salvatore Tabbone
Venue: Proceedings of the 7th IAPR-TC-15 International Workshop on Graph-Based Representations in Pattern Recognition (2009)

We present an algorithm for graph matching in a pattern recognition context. This algorithm deals with weighted graphs, based on new structural and topological node signatures. Using these signatures, we compute an optimum solution for node-to-node assignment with the Hungarian method and propose a distance formula to compute the distance between weighted graphs. The experiments demonstrate that the newly presented algorithm is well suited to pattern recognition applications. Compared with four well-known methods, our algorithm gives good results for clustering and retrieving images. A sensitivity analysis reveals that the proposed method is also insensitive to weak structural changes.
Application of Data Fusion on System of Measurement and Control for Grain Storage
Authors: Yuhua Zhu, Tong Zhen, Zhi Ma
Venue: Proceedings of the 2009 IITA International Conference on Control, Automation and Systems Engineering (case 2009) (2009)

Data fusion was used to predict the safe value of grain environment in different operational conditions. The temperature, humidity, moisture, pest and etc, were used as inputs to the data fusion center and network. Feed-forward artificial neural networks with 4-10-5 arrangements were capable to estimate the safe value of grain environment as the outputs. This method, characterized by sufficiently utilizing the effective detected data, optimizing homogeneous data, and considering the complementation of the different data source makes possible an improvement in the reliability and entirety of detection system.
Finding word substitutions using a distributional similarity baseline and immediate context overlap
Authors: Aurelie Herbelot
Venue: Proceedings of the 12th Conference of the European Chapter of the Association for Computational Linguistics: Student Research Workshop (2009)

This paper deals with the task of finding generally applicable substitutions for a given input term. We show that the output of a distributional similarity system baseline can be filtered to obtain terms that are not simply similar but frequently substitutable. Our filter relies on the fact that when two terms are in a common entailment relation, it should be possible to substitute one for the other in their most frequent surface contexts. Using the Google 5-gram corpus to find such characteristic contexts, we show that for the given task, our filter improves the precision of a distributional similarity system from 41% to 56% on a test set comprising common transitive verbs.
Triangular Fuzzy Number Method for Fuzzy Multi-sensor Information Fusion
Authors: Jiuying Dong
Venue: Proceedings of the 2009 International Conference on Computational Intelligence and Natural Computing - Volume 01 (2009)

The triangular fuzzy numbers are used to represent to the object recognition problem, a new fusion method for multi-sensor data is proposed from the decision making theory. The method defines the distance matrix between all object types and unknown object. After solving the optimization problem of maximizing the standard deviations for all attributes, the weights of the attributes are obtained objectively. Hence, the result of recognition for the unknown object is given by the overall distance. This method can avoid the subjectivity of selecting attributes weights and be performed on computer easily. The simulated example verifies the feasibility and practicability of the proposed method.
Query Optimization in Encrypted Relational Databases by Vertical Schema Partitioning
Authors: Mustafa Canim, Murat Kantarcioglu, Ali Inan
Venue: Proceedings of the 6th VLDB Workshop on Secure Data Management (2009)

Security and privacy concerns, as well as legal considerations, force many companies to encrypt the sensitive data in their databases. However, storing the data in encrypted format entails significant performance penalties during query processing. In this paper, we address several design issues related to querying encrypted relational databases. The experiments we conducted on benchmark datasets show that excessive decryption costs during query processing result in CPU bottleneck. As a solution we propose a new method based on schema decomposition that partitions sensitive and non-sensitive attributes of a relation into two separate relations. Our method improves the system performance dramatically by parallelizing disk IO latency with CPU-intensive operations (i.e., encryption/decryption).
Compensate the Speech Recognition Delays for Accurate Speech-Based Cursor Position Control
Authors: Qiang Tong, Ziyun Wang
Venue: Proceedings of the 13th International Conference on Human-Computer Interaction. Part II: Novel Interaction Methods and Techniques (2009)

In this paper, we describe a back-compensate mechanism to improve the precision of speech-based cursor control. Using this mechanism we can control the cursor more easily to move to small on-screen targets during continuous direction-based navigation despite the processing delays associated with speech recognition. In comparison, using traditional speech-recognition systems, it is difficult to move the cursor precisely to a desired position because of the processing delays introduced by speech recognition. We also describe an experiment in which we evaluated the two alternative solutions, one using the traditional speech-based cursor control, and the other using the back-compensate mechanism. We present the encouraging evaluation results at the end of this paper and discuss future work.
A Harmonised Methodology towards Measuring Accessibility
Authors: Alexandros Mourouzis, Grammati-Eirini Kastori, Kostantinos Votis, Evangelos Bekiaris, Dimitrios Tzovaras
Venue: Proceedings of the 5th International Conference on Universal Access in Human-Computer Interaction. Addressing Diversity. Part I: Held as Part of HCI International 2009 (2009)

This paper introduces the harmonized accessibility methodology (HAM) that has been defined and deployed in the context of the ACCESSIBLE project.HAM is aimed to harmonize existing collections of related design knowledge, such as heuristics, guidelines, standards, etc., and thereby provide the grounds for defining ontology-based rules and, and thereby implementing, within ACCESSIBLE and beyond, automated accessibility assessment of ICT designs and developments. Ultimately, ordinary developers will be enabled to conduct rapid, yet specialized, accessibility assessments focused on any relevant disability types, assistive technologies, platforms, and contextual conditions.
Margin and Radius Based Multiple Kernel Learning
Authors: Huyen Do, Alexandros Kalousis, Adam Woznica, Melanie Hilario
Venue: Proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases: Part I (2009)

A serious drawback of kernel methods, and Support Vector Machines (SVM) in particular, is the difficulty in choosing a suitable kernel function for a given dataset. One of the approaches proposed to address this problem is Multiple Kernel Learning (MKL) in which several kernels are combined adaptively for a given dataset. Many of the existing MKL methods use the SVM objective function and try to find a linear combination of basic kernels such that the separating margin between the classes is maximized. However, these methods ignore the fact that the theoretical error bound depends not only on the margin, but also on the radius of the smallest sphere that contains all the training instances. We present a novel MKL algorithm that optimizes the error bound taking account of both the margin and the radius. The empirical results show that the proposed method compares favorably with other state-of-the-art MKL methods.
A PSO-Based Ball-Plate Calibration for Laser Scanner
Authors: Qiang Zhao, Yongheng Yue, Qiang Guan
Venue: Proceedings of the 2009 International Conference on Measuring Technology and Mechatronics Automation - Volume 02 (2009)

Three coordinate laser scanner is one of the important equipments in geometric measurement and reverse engineering fields. The rapid development of manufacture precision towards precise or ultra-precise direction requires higher scanning precision. Calibration is the most direct, simplest method to check the measuring uncertainty of the scanner. This paper put forward a ball-plate based calibration method and proposed to use particle swarm optimization (PSO) algorithm to solve the critical point-cloud sphere center fitting problem in the calibration. A practical calibration is completed on a laser scanner and the calibration results show that PSO algorithm enables to present an adequately accurate fitting centers and the proposed method is practical and effective.
UPV-WSD: combining different WSD methods by means of fuzzy Borda voting
Authors: Davide Buscaldi, Paolo Rosso
Venue: Proceedings of the 4th International Workshop on Semantic Evaluations (2007)

This paper describes the WSD system developed for our participation to the SemEval-1. It combines various methods by means of a fuzzy Borda voting. The fuzzy Borda vote-counting scheme is one of the best known methods in the field of collective decision making. In our system the different disambiguation methods are considered as experts that give a preference ranking for the senses a word can be assigned. Then the preferences are evaluated using the fuzzy Borda scheme in order to select the best sense. The methods we considered are the sense frequency probability calculated over SemCor, the Conceptual Density calculated over both hyperonyms and meronyms hyerarchies in WordNet, the extended Lesk by Banerjee and Pedersen, and finally a method based on WordNet domains.
An ID-based group-oriented decryption scheme secure against adaptive chosen-ciphertext attacks
Authors: Ting-Yi Chang
Venue: Computer Communications (2009)

ID-based decryption allows a sender to encrypt a message to an identity without access to a public key certificate. This paper proposes an ID-based group-oriented decryption scheme, secure against adaptive chosen-ciphertext attacks, which allows the sender to determine an access structure and generate a valid ciphertext on the chosen message. The correctness of decryption shares can be checked to detect when dishonest users in the access structure provide fake decryption shares. As a result, the message can be cooperatively recovered by users in the determined access structure. The formal proof of security of our scheme is based on the bilinear Diffie-Hellman problem in the random oracle model. Our proposed scheme is more efficient and provides higher security confidence than those in Li et al.'s certificate-based group-oriented decryption scheme.
Restricted Optimal Modeling Method Supervised by Expectation Error
Authors: Peng Xiaoqi, Song Yanpo, Tang Ying
Venue: Proceedings of the 2009 WRI Global Congress on Intelligent Systems - Volume 04 (2009)

Relation between the possible minimum error (i.e. expectation error) of empirical model and data quality information (e.g., data scale and noise intensity) is analyzed quantitatively, a concept of “restricted optimal model” is proposed, methods to estimate expectation error are introduced, an idea to optimize model using expectation error is proposed. Based on this idea, an optimal Neural Network modeling method is proposed. Its availability and superiority is verified by simulation experiment. Furthermore, a new evaluation index of model, namely error average power (EAP), is proposed, which is suitable to evaluate different modeling methods in simulation experiment.
Enhanced Boiling Microstructures Applied to Microelectronics Cooling
Authors: Dashi Su, Yong Tang, Biao Tang
Venue: Proceedings of the 2009 International Conference on Measuring Technology and Mechatronics Automation - Volume 03 (2009)

A kind of Two-phase Closed Loop Thermosyphon (TCLT) which dissipate heat of electronic device was fabricated. The TCLT was composed of an evaporator, a condenser, a subcooler and connecting tubes. The most important part, the Enhanced Boiling Microstructures (EBMS) of evaporator, of the TCLT was studied. Three kinds of EBMS for nucleate boiling heat transfer were design. Pool boiling experiments were performed to estimate the performance of all kinds of microstructures. Then the best EBMS, which have the lowest wall superheat and highest Critical Heat Flux (CHF), was chosen as the part of a TCLT. Series dissipating heat experiments of the TCLT were carried on. Results show that thermal resistance of TCLT can reach minimum value 0.077℃/W when the highest heat flux that TCLT can transfer is 31.4W/cm2.
Research on Competitive Advantages of Enterprise by Cooperating with Nonprofit Organization Based on Collaborative Network
Authors: Xue-ying Tian, Ming-hai Ye
Venue: Proceedings of the 2009 International Conference on Environmental Science and Information Application Technology - Volume 03 (2009)

Research on competitive advantages of enterprise is always a focus these days. Fast growth of nonprofit organization noticeably changes competition environments and market conditions of enterprise. Therefore, how enterprise gains competitive advantages by interacting with nonprofit organization will be an issue which deserves our full attention. In this paper, we begin with different motives of cooperation between enterprise and nonprofit organization. By describing the social embeddedness of organization behavior, we set forth the concept and formation of collaborative network. After that, we explain how enterprise gains competitive advantages based on collaborative network. At last, we conclude that competitive advantages of enterprise can increase by acquiring social capital and learning from nonprofit organization. Future research on competitive advantages of enterprise cooperating with nonprofit organization would be strengthened in application network-characteristic analysis.