ppxscal/embedding_network huggingface dataset:
Harnessing the Power of Multiple Tools to Predict and Mitigate Mental Overload
Authors: Charneta Samms, David Jones, Kelly Hale, Diane Mitchell
Venue: Proceedings of the 8th International Conference on Engineering Psychology and Cognitive Ergonomics: Held as Part of HCI International 2009 (2009)

Predicting the effect of system design decisions on operator performance is challenging, particularly when a system is in the early stages of development. Tools such as the Improved Performance Research Integration Tool (IMPRINT) have been used successfully to predict operator performance by identifying task/design combinations leading to potential mental overload. Another human performance modeling tool, the Multimodal Interface Design Support (MIDS) tool, allows system designers to input their system specifications into the tool to identify points of mental overload and provide multi-modal design guidelines that could help mitigate the overload identified. The complementary nature of the two tools was recognized by Army Research Laboratory (ARL) analysts. The ability of IMPRINT to stochastically identify task combinations leading to overload combined with the power of MIDS to address overload conditions with workload mitigation strategies led to ARL sponsorship of a proof of concept integration between the two tools. This paper aims to demonstrate the utility of performing low-cost prototyping to combine associated technologies to amplify the utility of both systems. The added capabilities of the integrated IMPRINT/MIDS system are presented with future development plans for the system.
Cost optimization of composite beams using genetic algorithms
Authors: Ahmed B. Senouci, Mohammed S. Al-Ansari
Venue: Advances in Engineering Software (2009)

This paper presents a genetic algorithm model for the cost optimization of composite beams based on the load and resistance factor design (LRFD) specifications of the AISC. The model formulation includes the cost of concrete, steel beam, and shear studs. Two design examples taken from the literature were analyzed in order to validate the proposed model, to illustrate its use, and to demonstrate its capabilities in optimizing composite beam designs. The results obtained show that the model is capable of achieving substantial cost savings. Hence, it can be of practical value to structural designers. A parametric study was also conducted to investigate the effects of beam spans and loadings on the cost optimization of composite beams.
Global Localization of Vehicles Using Local Pole Patterns
Authors: Claus Brenner
Venue: Proceedings of the 31st DAGM Symposium on Pattern Recognition (2009)

Accurate and reliable localization is an important requirement for autonomous driving. This paper investigates an asymmetric model for global mapping and localization in large outdoor scenes. In the first stage, a mobile mapping van scans the street environment in full 3D, using high accuracy and high resolution sensors. From this raw data, local descriptors are extracted in an offline process and stored in a global map. In the second stage, vehicles, equipped with simple, inaccurate sensors are assumed to be able to recover part of these descriptors which allows them to determine their global position. The focus of this paper is on the investigation of local pole patterns. A descriptor is proposed which is tolerant with regard to missing data, and performance and scalability are considered. For the experiments, a large, dense outdoor LiDAR scan with a total length of 21.7 km is used.
Towards a Reverse Engineering Dataflow Analysis Framework for Java and C++
Authors: Petru Florin Mihancea
Venue: Proceedings of the 2008 10th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (2008)

Due to the software aging phenomenon, understanding a program is increasingly difficult. Many high-level analysis methods have been developed to support program comprehension, some of them based on dataflow analysis. Conventional dataflow analysis infrastructures could beused as a basis to implement these reverse engineering methods. However, none of them meet specific reverse engineering requirements. In this tool demo we introduce MEMBRAIN, a dataflow analysis infrastructure for reverse engineering. A brief insight over this infrastructure is presented along with some essential implementation details. The demo also includes a practical usage example and a performance comparison in order to prove the tool usability.
Design of Low Power Ternary Magnitude Comparator Based on Multi-valued Switch-Signal Theory
Authors: Xiaopang Zeng, Pengjun Wang
Venue: Proceedings of the 2009 Asia-Pacific Conference on Information Processing - Volume 01 (2009)

By analyzing the multi-valued switch-signal theory (MVSST), this paper presents a novel design scheme of low power ternary magnitude comparator (TMC). The scheme adopt switch-level design technique, on one hand, Full-swing output signal improves noise margins, on the other hand, the reducing number of MOS insuring the simple circuit and small area. At last, The PSPICE simulation results indicate that the novel scheme have correct logic function and the character of clearly low power.
Morphological Distribution of Hexavalent Chromium in the Soils Contaminated by Chromite Ore Processing Residue from Qingdao Hongxing Chemical Plant
Authors: Yingjie Sun, Jing Song, Ruofan Zhou
Venue: Proceedings of the 2009 International Conference on Environmental Science and Information Application Technology - Volume 03 (2009)

Soils polluted by Chromite Ore Processing Residue (COPR) was sampled as study objects. Modified BCR sequential extraction procedure was adopt to analysis the chemical speciation of hexavalent chromium in the soils from Qingdao Hongxing Chemical Plant. The results show that, more than 80% of the total hexavalent chromium is the weak acid extractive speciation, and the water soluble speciation hexavalent chromium is the main speciation of the total hexavalent chromium, which pose higher risks to environment. Based on the fact that main hexavalent chromium is in the water soluble speciation, water was suggested as soil washing/flushing agent.
A context-sensitive security model for privacy protection on mobile phones
Authors: Julian Seifert, Alexander De Luca, Bettina Conradi
Venue: Proceedings of the 11th International Conference on Human-Computer Interaction with Mobile Devices and Services (2009)

In this paper we present a context-sensitive security model for privacy protection on mobile phones. We describe the system TreasurePhone which implements this security model. The Privacy Protection is realized by spheres, which represent the user's context specific need for privacy. That is, users can create any number of spheres and define which services and data are accessible in each sphere. TreasurePhone integrates context information for supporting authentication and activation of spheres by locations and actions. A basic hierarchy is used for determining which location should be activated based on the associated sensor value.
Temporal privacy in wireless sensor networks: Theory and practice
Authors: Pandurang Kamat, Wenyuan Xu, Wade Trappe, Yanyong Zhang
Venue: ACM Transactions on Sensor Networks (TOSN) (2009)

Although the content of sensor messages describing &ldquo;events of interest&rdquo; may be encrypted to provide confidentiality, the context surrounding these events may also be sensitive and therefore should be protected from eavesdroppers. An adversary armed with knowledge of the network deployment, routing algorithms, and the base-station (data sink) location can infer the temporal patterns of interesting events by merely monitoring the arrival of packets at the sink, thereby allowing the adversary to remotely track the spatio-temporal evolution of a sensed event. In this paper we introduce the problem of temporal privacy for delay-tolerant sensor networks, and propose adaptive buffering at intermediate nodes on the source-sink routing path to obfuscate temporal information from the adversary. We first present the effect of buffering on temporal privacy using an information-theoretic formulation, and then examine the effect that delaying packets has on buffer occupancy. We observe that temporal privacy and efficient buffer utilization are contrary objectives, and then present an adaptive buffering strategy that effectively manages these tradeoffs. Finally, we evaluate our privacy enhancement strategies using simulations, where privacy is quantified in terms of the adversary's mean square error.
Collaborative Work in 3D Virtual Environments: A Research Agenda and Operational Framework
Authors: Béatrice S. Hasler, Thierry Buecheler, Rolf Pfeifer
Venue: Proceedings of the 3d International Conference on Online Communities and Social Computing: Held as Part of HCI International 2009 (2009)

We propose a conceptual framework based on input-process-output models adapted from traditional group research for the systematic analysis of virtual teamwork. A research agenda contains a list of research questions that will be investigated in a controlled field study in the context of "The ShanghAI Lectures", a global teaching and international student collaboration project. The research questions are formulated regarding processes and outcomes of global virtual teamwork and focus on usability and sociability issues in collaborative work in 3D virtual environments. An operational framework is provided for collecting the relevant data in a structured manner by using qualitative and quantitative process measures of group behavior.
A diachronic approach for schwa deletion in Indo Aryan languages
Authors: Monojit Choudhury, Anupam Basu, Sudeshna Sarkar
Venue: Proceedings of the 7th Meeting of the ACL Special Interest Group in Computational Phonology: Current Themes in Computational Phonology and Morphology (2004)

Schwa deletion is an important issue in grapheme-to-phoneme conversion for Indo-Aryan languages (IAL). In this paper, we describe a syllable minimization based algorithm for dealing with this that outperforms the existing methods in terms of efficiency and accuracy. The algorithm is motivated by the fact that deletion of schwa is a diachronic and sociolinguistic phenomenon that facilitates faster communication through syllable economy. The contribution of the paper is not just a better algorithm for schwa deletion; rather we describe here a constrained optimization based framework that can partly model the evolution of languages, and hence, can be used for solving many problems in computational linguistics that call for diachronic explanations.
Designing phrase builder: a mobile real-time query expansion interface
Authors: Tim Paek, Bongshin Lee, Bo Thiesson
Venue: Proceedings of the 11th International Conference on Human-Computer Interaction with Mobile Devices and Services (2009)

As users enter web queries, real-time query expansion (RTQE) interfaces offer suggestions based on an index garnered from query logs. In selecting a suggestion, users can potentially reduce keystrokes, which can be very beneficial on mobile devices with deficient input means. Unfortunately, RTQE interfaces typically provide little assistance when only parts of an intended query appear among the suggestion choices. In this paper, we introduce Phrase Builder, an RTQE interface that reduces keystrokes by facilitating the selection of individual query words and by leveraging back-off query techniques to offer completions for out-of-index queries. We describe how we implemented a small memory footprint index and retrieval algorithm, and discuss lessons learned from three versions of the user interface, which was iteratively designed through user studies. Compared to standard auto-completion and typing, the last version of Phrase Builder reduced more keystrokes-per-character, was perceived to be faster, and was overall preferred by users.
Study on Micro-behaviour of Interference between Bicycle and Motor-Vehicle at Signalized Intersection Based on BP Neual Network
Authors: Shanshan Lee, Dalin Qian, Nianyuan Lee
Venue: Proceedings of the 2009 Asia-Pacific Conference on Information Processing - Volume 01 (2009)

The crossing behavior of motor vehicles and bicycles at signalized intersections is of great importance in the mixed traffic microscopic simulation. However, it is very difficult to simulate the behavior because of the great variations in the driver behaviors, vehicle characteristics and traffic environment. The current study proposes a neural network (NN) approach to simulate the right-turning motor vehicles passing through straight-moving bicycles. A computer based three-layered Back-Propagation Neural Networks (BPN) model was developed for the estimation of motor vehicles’ crossing decision mode. The BPN model was trained, validated with field data and then compared with the discrete choice logistic model. It was found that the BPN model performed better. Result showed that the proposed model could produce reasonable crossing decision mode estimates for individual vehicles.
Image Filtering Driven by Level Curves
Authors: Ajit Rajwade, Arunava Banerjee, Anand Rangarajan
Venue: Proceedings of the 7th International Conference on Energy Minimization Methods in Computer Vision and Pattern Recognition (2009)

This paper presents an approach to image filtering that is driven by the properties of the iso-valued level curves of the image and their relationship with one another. We explore the relationship of our algorithm to existing probabilistically driven filtering methods such as those based on kernel density estimation, local-mode finding and mean-shift. Extensive experimental results on filtering gray-scale images, color images, gray-scale video and chromaticity fields are presented. In contrast to existing probabilistic methods, in our approach, the selection of the parameter that prevents diffusion across the edge is robustly decoupled from the smoothing of the density itself. Furthermore, our method is observed to produce better filtering results for the same settings of parameters for the filter window size and the edge definition.
The H-N2N framework: towards providing interperception in massive applications
Authors: Aquiles M. Burlamaqui, Samuel O. Azevedo, Rummenigge Rudson Dantas, Claudio A. Schneider, Josivan S. Xavier, Julio C. Melo, Luiz M. Gonçalves, Guido L. Filho, Jauvane C. De Oliveira
Venue: Multimedia Tools and Applications (2009)

We propose a framework with a flexible architecture that have been designed and implemented for collaborative interaction of users, to be applied in massive applications through the Web. We introduce the concept of interperception and use technologies as massive virtual environments and teleoperation for the creation of environments (mixing virtual and real ones) in order to promote accessibility and transparency in the interaction between people, and between people and animate devices (such as robots) through the Web. Experiments with massive games, with interactive applications in digital television, with users and robots interacting in virtual and real versions of museums and cultural centers are presented to validate our proposal.
Projective Synchronization in Coupled Integral and Fractional Order Hyper-chaotic Lorenz Systems
Authors: Xing Lifen, Shang Gang, Liu Jie, Li Xinjie, Dong Pengzhen
Venue: Proceedings of the 2009 International Conference on Computational Intelligence and Natural Computing - Volume 02 (2009)

Projective synchronization in coupled hyper-chaotic Lorenz systems of integral order and its fractional order commensurate cases are both investigated, respectively. An approximate integer order model for the fractional order hyper-chaotic Lorenz system is constructed while analyzing the projective synchronization scheme of the coupled fractional order hyper-chaotic Lorenz systems. The scaling factor of projective synchronization can be controlled onto a desired value by means of using a state error feedback control method. Illustrations are also given to show the rightness of the theoretical analysis and effectiveness of our proposed methods.
Sonification of Spatial Information: Audio-Tactile Exploration Strategies by Normal and Blind Subjects
Authors: Marta Olivetti Belardinelli, Stefano Federici, Franco Delogu, Massimiliano Palmiero
Venue: Proceedings of the 5th International on ConferenceUniversal Access in Human-Computer Interaction. Part II: Intelligent and Ubiquitous Interaction Environments (2009)

On the basis of a meta-analysis of existing literature about sonification technologies, new experimental results on audio-tactile exploration strategies of georeferenced sonificated data by sighted and blind subjects are presented, discussing: technology suitability, subjects' performances, accessibility and usability in the user/technology interaction.
Monitoring and Processing of the Pupil Diameter Signal for Affective Assessment of a Computer User
Authors: Ying Gao, Armando Barreto, Malek Adjouadi
Venue: Proceedings of the 13th International Conference on Human-Computer Interaction. Part I: New Trends (2009)

The pupil diameter (PD) has been found to respond to cognitive and emotional processes. However, the pupillary light reflex (PLR), is known to be the dominant factor in determining pupil size. In this paper, we attempt to minimize the PLR-driven component in the measured PD signal, through an Adaptive Interference Canceller (AIC), with the H∞ time-varying (HITV) adaptive algorithm, so that the output of the AIC, the Modified Pupil Diameter (MPD), can be used as an indication of the pupillary affective response (PAR) after some post-processing. The results of this study confirm that the AIC with the HITV adaptive algorithm is able to minimize the PD changes caused by PLR to an acceptable level, to facilitate the affective assessment of a computer user through the resulting MPD signal.
Sensor Management Model Using Multi-agent in Small-Area Sensor Networks
Authors: Keonsoo Lee, Minkoo Kim
Venue: Multi-Agent Systems for Society: 8th Pacific Rim International Workshop on Multi-Agents, PRIMA 2005, Kuala Lumpur, Malaysia, September 26-28, 2005, Revised Selected Papers (2009)

In sensor networks, each sensor has very limited capability in battery life and processing power. This problem can be solved by employing a middleware system which can reduce the load of each sensor to expend the each sensor's battery life and provide the proper control of the sensed data. In this paper, we propose a middleware model using multi-agent for small-area sensor networks. This model is focused on three functions such as data aggregation, network topology management, and sensor's state control. With this model, the sensors need not to care of the data routing and the applications need not to care how the sensors are connected each other and how the necessary sensing data can be obtained. With this model, more flexible sensor based system can be constructed easily.
Feature-Based Camera Model Identification Works in Practice
Authors: Thomas Gloe, Karsten Borowka, Antje Winkler
Venue: Information Hiding: 11th International Workshop, IH 2009, Darmstadt, Germany, June 8-10, 2009, Revised Selected Papers (2009)

Feature-based camera model identification plays an important role in the toolbox for image source identification. It enables the forensic investigator to discover the probable source model employed to acquire an image under investigation. However, little is known about the performance on large sets of cameras that include multiple devices of the same model. Following the process of a forensic investigation, this paper tackles important questions for the application of feature-based camera model identification in real world scenarios. More than 9,000 images were acquired under controlled conditions using 44 digital cameras of 12 different models. This forms the basis for an in-depth analysis of a) intra-camera model similarity, b) the number of required devices and images for training the identification method, and c) the influence of camera settings. All experiments in this paper suggest: feature-based camera model identification works in practice and provides reliable results even if only one device for each camera model under investigation is available to the forensic investigator.
Autonomous Control Approach for Local Search
Authors: Julien Robet, Frédéric Lardeux, Frédéric Saubion
Venue: Proceedings of the Second International Workshop on Engineering Stochastic Local Search Algorithms. Designing, Implementing and Analyzing Effective Heuristics (2009)

We propose here an approach for the autonomous control of a local search algorithm, which has several moves operators, whose efficiency can be diverse and whose application is adjusted according to the observation of the current status of search, in order to adapt to the balance between exploitation and exploration of search space.
A case study of AI application on language instruction: CSIEC
Authors: Jiyou Jia
Venue: Proceedings of the 20th national conference on Innovative applications of artificial intelligence - Volume 3 (2008)

CSIEC (Computer Simulation in Educational Communication), is not only an intelligent web-based human-computer dialogue system with natural language for English instruction, but also a learning assessment system for learners and teachers. Its multiple functions including grammar gap filling exercises, talk show, free chatting and chatting on a given topic, can satisfy the various needs from the students with different backgrounds and learning abilities. After the brief explanation of the motivation and the survey of the related works, we illustrate the system structure, and describe its pedagogical functions with the underlying AI techniques in details such as NLP and human-computer interaction. We summarize the free Internet usage from a six months period and its integration into English classes in universities and middle schools. The evaluation findings show that the chatting function has been improved and frequently utilized by the users, and the application of the CSIEC system on English instruction can motivate the learners to practice English and enhance their learning process. Finally, we draw some conclusions for the future improvement.
Application of the Labeled Magnitude Scale in Kansei Research
Authors: Chun Yueh Chen, Kuohsiang Chen
Venue: Proceedings of the 3rd International Conference on Internationalization, Design and Global Development: Held as Part of HCI International 2009 (2009)

This study intended to construct a labeled magnitude scale based on Kansei researches so that data with ratio-level can be retrieved easily and further extensive analysis can be conducted. In this study, scale derivation was generated based on the research of Green et al.[8] 32 subjects, include 23 male and 9 female, average age of 24.6 yrs with design education background, participated in the experiment. 19 car samples and 5 Kansei phrases were used in the experiment. Results showed that the intensity indicators were significantly different in the experiment (F1,137=.122,p=.727). But subjects in the experiment gave rating in different ways to each Kansei phrases (Kansei phrases * intensity indicators, F20,2952=3.55,p=.00). This may due to the status quo bias of subjects. Comparisons with OPUS (Oral Pleasantness /Unpleasant scale) [9] and CALM (Comfort Affective Labeled Magnitude) [5] showed similar orders of intersity indicators but different maximum magnitude in each scales.
Analyzing Information Retrieval Systems Using Peer-to-Peer Information
Authors: Jiang Zhengzheng, Yong Huang
Venue: Proceedings of the 2009 Asia-Pacific Conference on Information Processing - Volume 02 (2009)

The hardware and architecture approach to randomized algorithms is defined not only by the evaluation of systems that paved the way for the emulation of digital-to-analog converters, but also by the essential need for expert systems. After years of important research into IPv7, we show the understanding of the Turing machine. Our focus here is not on whether the infamous psychoacoustic algorithm for the important unification of SCSI disks and systems by M. Bharadwaj et al. runs in O(n) time, but rather on proposing an analysis of linked lists.