ppxscal/embedding_network huggingface dataset:
Exercises Intensity Estimation Based on the Physical Activities Healthcare System
Authors: Zhi Li
Venue: Proceedings of the 2009 WRI International Conference on Communications and Mobile Computing - Volume 03 (2009)

The suitable and personalize physical activities plan is a consequential and rewarding strategy to improve individual's health and keep his/her fitness. In this paper, a physical activities healthcare system (PATHS) based on the wearable wireless sensor unit is proposed to help persons evaluate the exercise intensity and estimate the caloric expenditure with electrocardiogram and motion sensors. The proposed system is useful for quantitative estimation of physical activities and helpful in monitoring progress of an individual's exercise program. Experiments based on the prototype system show that our system can estimate the exercises intensity and the caloric expenditure easily and conveniently. 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
Ore image segmentation by learning image and shape features
Authors: Dipti Prasad Mukherjee, Yury Potapovich, Ilya Levner, Hong Zhang
Venue: Pattern Recognition Letters (2009)

We present an image segmentation system specifically targeted for oil sand ore size estimation. The system learns spectral and shape characteristics of training images of oil sand ore samples for image quality enhancement followed by segmentation of ore image shapes. The proposed segmentation has achieved superior accuracy over the current state of the art systems.
Singularity avoidance for acrobots based on fuzzy-control strategy
Authors: Xu-Zhi Lai, Simon X. Yang, Jin-Hua She, Min Wu
Venue: Robotics and Autonomous Systems (2009)

This paper presents a fuzzy-control method for the motion control of an acrobot. First, an explanation is given of the singularity that arises when a motion control law based on a Lyapunov function has an integrated control objective for energy and posture. Then, a fuzzy controller is designed that solves the singularity problem through regulation of a design parameter in the control law. Finally, an additional fuzzy controller is designed that improves the control performance through regulation of another design parameter in the control law. Simulation results demonstrate the effectiveness of this integrated fuzzy-control strategy.
On a conjecture of the Randić index
Authors: Zhifu You, Bolian Liu
Venue: Discrete Applied Mathematics (2009)

The Randic index of a graph G is defined as R(G)=@?"u"~"v(d(u)d(v))^-^1^2, where d(u) is the degree of vertex u and the summation goes over all pairs of adjacent vertices u, v. A conjecture on R(G) for connected graph G is as follows: R(G)>=r(G)-1, where r(G) denotes the radius of G. We proved that the conjecture is true for biregular graphs, connected graphs with order n@?10 and tricyclic graphs.
The Research on the Information Service System of Rural Labor Migration
Authors: Guoqiang Ren, Yuhui Luo
Venue: Proceedings of the 2009 Second International Symposium on Intelligent Information Technology and Security Informatics (2009)

This paper analyzes the relationship between the service demand of the rural labor and the related government department. It gives the organizational structure and concludes the three functions: employment service, the maintenance of the rights and interests and the skill training of the information service system, which studies the network model and the way of the information transitions. The construction of the system has the great significance to reduce the blindness of migration and the cost of migrant, promotes the non-migrants to make rational decision.
TETRA for data communication in a power distribution system
Authors: Igor Ozimek, Tomaž Javornik, Gorazd Kandus, Milan Svajger
Venue: Proceedings of the 5th conference on Applied electromagnetics, wireless and optical communications (2007)

Mobile radio communications are an indispensable part of communication networks in systems such as electric power distribution systems that cover large geographic areas and require maintenance and management of devices on remote locations where no other communication means are available. Besides the traditional voice communication, the new digital PMR systems also support various modes of data communication, including IP protocol. This offers new possibilities for remote data applications. In our paper, the possibilities of using a TETRA system for remote data applications will be described for the case of the electric power distribution company Elektro Ljubljana, d.d.
FactorY, a bioinformatic resource for genome-wide promoter analysis
Authors: Elizabeth Guruceaga, Victor Segura, Fernando J. Corrales, Angel Rubio
Venue: Computers in Biology and Medicine (2009)

The interpretation of the complex molecular descriptions generated by high-throughput gene expression technologies is still challenging. The development of new tools to identify common regulatory mechanisms involved in the control of the expression of a set of co-expressed genes, might enhance our capacity to extract functional information from genomic data sets. Here we present FactorY, a website that allows identification of enriched transcription factor binding sites (TFBSs) in the proximal promoter of a cluster of genes, as well as functional interpretation, and intuitive visualization of the results.
Chaos-based discrete fractional Sine transform domain audio watermarking scheme
Authors: Mingquan Fan, Hongxia Wang
Venue: Computers and Electrical Engineering (2009)

We proposed a novel discrete fractional Sine transform (DFRST) based watermarking scheme for audio data copyright protection. Chaotic sequences were adopted to improve the security of the proposed watermarking scheme. Simulations under various conditions were given to verify the effectiveness of the audio watermarking scheme. The results show the proposed scheme is secure, and the watermark is imperceptible and robust against various audio signal processing attacks.
Study on Real-Time Measuring Method of Concrete Pump Discharge
Authors: Huiyong Liu, Wei Li, Qing Zhao
Venue: Proceedings of the 2009 International Conference on Electronic Computer Technology (2009)

The characteristics of current measuring methods of concrete pump discharge are analyzed, and the shortage of these methods is pointed out. According to the working principle of concrete pump, the mathematic model of the concrete pump discharge is established. The real-time measuring method of concrete pump discharge, which is based on pressure in the master cylinder, is put forward. By measuring and analyzing the pressure in the master cylinder, calculating the real-time pumping efficiency, the concrete pump discharge could be measured. The preliminary experiment indicates that the measuring method based on pressure in the master cylinder has high precision.
Will Mobile Computing's Future Be Location, Location, Location?
Authors: Steven J. Vaughan-Nichols
Venue: Computer (2009)

As mobile computing has been more widely adopted in recent years, proponents have said location-based services could have a bright future. However, LBS has failed to take off in the marketplace yet.
The Next Frontier for Power/Performance Benchmarking: Energy Efficiency of Storage Subsystems
Authors: Klaus-Dieter Lange
Venue: Proceedings of the 2009 SPEC Benchmark Workshop on Computer Performance Evaluation and Benchmarking (2009)

The increasing concern of energy usage in datacenters has drastically changed how the IT industry evaluates servers. The energy conscious selection of storage subsystems is the next logical step. This paper first quantifies the possible energy savings of utilizing modern storage subsystems by identifying inherent energy characteristics of next generation disk IO subsystems. Additionally, the power consumptions of a variety of workload patterns is demonstrated.
Computer graphics teaching support using X3D: extensible 3D graphics for web authors
Authors: Don Brutzman
Venue: ACM SIGGRAPH ASIA 2008 courses (2008)

X3D is the ISO-standard scene-graph language for interactive 3D graphics on the Web. A new course is available for teaching the fundamentals of 3D graphics using Extensible 3D (X3D). Resources include a detailed textbook, an authoring tool, hundreds of example scenes, and detailed slidesets covering each chapter. The published book is commercially available, while all other course-module resources are provided online free under open-source licenses. Numerous other commercial and open resources are available for X3D, which also serves as an interchange format. The supported course has been taught for many years, successfully introducing masters' students to the principles and techniques of 3D graphics without requiring programming experience. This course is now ready for undergraduate use. Expressing 3D graphics modeling within the domain of Extensible Markup Language (XML) for the Web is novel and has the potential to open up computer graphics to many new practitioners. This combined resource is intended to broadly support computer graphics education and 3D skills for web authors.
Video games and the perception of very long durations by adolescents
Authors: Simon Tobin, Simon Grondin
Venue: Computers in Human Behavior (2009)

In the present study, we tested the hypothesis that adolescents might underestimate time while playing a video game. To test this hypothesis, 116 adolescents (14-15 years old) had to judge prospectively or retrospectively the duration of three consecutive tasks: a 8min and a 24min task of playing video game (Tetris) and an 8min task of reading on a computer screen (control task). The main hypothesis received support: for a same duration, the video game task was estimated as shorter than the reading task. Moreover, participants with a game-inclined profile showed a stronger underestimation of time while playing. Finally, the short durations were overestimated and the long duration underestimated. The main findings are accounted for by an attention-based explanation.
Cooperative aspect-oriented programming
Authors: Kevin Hoffman, Patrick Eugster
Venue: Science of Computer Programming (2009)

Aspect-oriented programming (AOP) seeks to improve software modularity via the separation of cross-cutting concerns. AOP proponents often advocate a development strategy where programmers write the main application (base code), ignoring cross-cutting concerns, and then aspect programmers, domain experts in their specific concerns, weave in the logic for these more specialized cross-cutting concerns. This purely oblivious strategy, however, has empirically been shown to tightly couple aspects to base code in many cases, hindering aspect modularity and reuse. In essence, the more intricate the weaving between the cross-cutting concern and the base code (lexically and/or semantically), the harder it becomes to: (a) robustly specify how to weave the aspects in at the required points, (b) capture interactions between aspects and base code, and (c) preserve the correct weaving as the base code evolves. We propose an alternate methodology, termed cooperative aspect-oriented programming (Co-AOP), where complete lexical separation of concerns is not taken as an absolute requirement. Instead, cross-cutting concerns are explicitly modeled as abstract interfaces through explicit join points (EJPs). Programmers specify where these interfaces interact with base code either through explicit lexical references or via traditional oblivious aspects. This explicit awareness allows base code and aspects to cooperate in ways that were previously not possible: arbitrary blocks of code can be advised, advice can be explicitly parameterized, base code can guide aspects in where to apply advice, and aspects can statically enforce new constraints upon the base code that they advise. These new techniques allow aspect modularity and program safety to increase, and bring us towards a cooperative AOP paradigm. We illustrate our methodology via an example on transactions, and also give an initial evaluation of cooperative AOP through an empirical study on program extensibility comparing both the traditional and cooperative AOP methodologies. Initial results show that cooperative AOP techniques result in code that is less complex with lower overall coupling, facilitating extensibility.
Self-adjusting constrained random stimulus generation using splitting evenness evaluation and XOR constraints
Authors: Shujun Deng, Zhiqiu Kong, Jinian Bian, Yanni Zhao
Venue: Proceedings of the 2009 Asia and South Pacific Design Automation Conference (2009)

Constrained random stimulus generation plays significant roles in hardware verification nowadays, and the quality of the generated stimuli is key to the efficiency of the test process. In this work, we present a linear dynamic method to guide random stimulus generation by SAT solvers. A splitting simplified Min-Distance-Sum evaluation method and an XOR sampling strategy are integrated in the self-adjusting random stimulus generation framework. The evenness of the split groups is evaluated to find out some uneven parts. Then, random partial solutions for the uneven parts and random XOR constraints for the other inputs are added into constraints to get better distributed stimuli. Experimental results show that our method can evaluate the evenness as well as more complex formulae for stimulus generation, and also confirm that the self-adjusting method can improve the fault coverage ratio by more than 17% averagely with the same number of stimuli.
StoryBank: mobile digital storytelling in a development context
Authors: David M. Frohlich, Dorothy Rachovides, Kiriaki Riga, Ramnath Bhat, Maxine Frank, Eran Edirisinghe, Dhammike Wickramanayaka, Matt Jones, Will Harwood
Venue: Proceedings of the 27th international conference on Human factors in computing systems (2009)

Mobile imaging and digital storytelling currently support a growing practice of multimedia communication in the West. In this paper we describe a project which explores their benefit in the East, to support non-textual information sharing in an Indian village. Local audiovisual story creation and sharing activities were carried out in a one month trial, using 10 customized cameraphones and a digital library of stories represented on a village display. The findings show that the system was usable by a cross-section of the community and valued for its ability to express a mixture of development and community information in an accessible form. Lessons for the role of HCI in this context are also discussed.
Self-Organized Aggregation Triggers Collective Decision Making in a Group of Cockroach-Like Robots
Authors: Simon Garnier, Jacques Gautrais, Masoud Asadpour, Christian Jost, Guy Theraulaz
Venue: Adaptive Behavior - Animals, Animats, Software Agents, Robots, Adaptive Systems (2009)

Self-amplification processes are at the origin of several collective decision phenomena in insect societies. Understanding these processes requires linking individual behavioral rules of insects to a choice dynamics at the colony level. In a homogeneous environment, the German cockroach Blattella germanica displays self-amplified aggregation behavior. In a heterogeneous environment where several shelters are present, groups of cockroaches collectively select one of them. In this article, we demonstrate that the restriction of the self-amplified aggregation behavior to distinct zones in the environment can explain the emergence of a collective decision at the level of the group. This hypothesis is tested with robotics experiments and dedicated computer simulations. We show that the collective decision is influenced by the available spaces to explore and to aggregate in, by the size of the population involved in the aggregation process and by the probability of encounter zones while the robots explore the environment. We finally discuss these results from both a biological and a robotics point of view.
Generalized Mongue-Elkan Method for Approximate Text String Comparison
Authors: Sergio Jimenez, Claudia Becerra, Alexander Gelbukh, Fabio Gonzalez
Venue: Proceedings of the 10th International Conference on Computational Linguistics and Intelligent Text Processing (2009)

The Mongue-Elkan method is a general text string comparison method based on an internal character-based similarity measure (e.g. edit distance) combined with a token level (i.e. word level) similarity measure. We propose a generalization of this method based on the notion of the generalized arithmetic mean instead of the simple average used in the expression to calculate the Monge-Elkan method. The experiments carried out with 12 well-known name-matching data sets show that the proposed approach outperforms the original Monge-Elkan method when character-based measures are used to compare tokens.
Knowledge Management in Global Software Development
Authors: Sajjan G. Shiva, Sarah B. Lee, Lubna A. Shala, Chris B. Simmons
Venue: International Journal of Distributed Sensor Networks (2009)

In today's global economy, shrinking business cycles and global competetition are changing the landscape of software development. Frequently, multiple and geographically dispersed development teams are working together on large complex software systems. The complexity of global software development (GSD) warrants investigation into practices for building highly effective geographically diverse teams. GSD introduces challenges such as physical distance, time-zone differences, and diversity of languages and cultures. Frequently, different parts of an organization might use different terms and naming schemes and may have unique ways of expressing concepts. Knowledge of dependencies between software components and a variety of technical platforms must be recognized and shared across the organization. Such a global environment requires a high degree of collaboration and knowledge sharing. The use of a flexible, user-friendly knowledge management system that allows natural language query processing across knowledge captured throughout the software development lifecycle (SDLC) is required to improve knowledge sharing and reuse. A variety of knowledge management techniques can be introduced into the SDLC to enhance the understanding and knowledge sharing between dispersed team members. Within the commercial realm, applications to capture and effectively disseminate knowledge are becoming more prevalent; however, many are specific to a business domain rather than focused on facilitating knowledge sharing across the SDLC. A high level design of a system that provides an integrated view of work products extracted from different sources in the enterprise, providing “just in times” knowledge to the user either through explicit search capabilities or through intelligence-based alerting that notifies users of new knowledge, is proposed. Our proposed KMS architecture seeks to facilitate a knowledge sharing environment by stressing ease of retrieval through natural language querying and proactive notification. The KMS should be designed to present the most relevant knowledge to the user. With knowledge stored in a variety of formats and on different technical platforms, it is imperative that a tool be provided that will be able to integrate and correlate knowledge from different sources and enable ease of extraction.
On Supporting High-Quality 3D Geometry Multicasting over IEEE 802.11 Wireless Networks
Authors: Hui Li, Ming Li, B. Prabhakaran
Venue: IEEE Transactions on Computers (2009)

With significant improvements in both wireless technologies and computational capabilities of mobile devices, it is now possible to exchange and render 3D graphics over wireless networks on mobile devices such as PDAs and laptops. In this paper, we consider a typical scenario where users holding mobile devices of different display resolutions and rendering capabilities request the same 3D object in an IEEE 802.11 wireless LAN. Several schemes are proposed. First, to support high-quality 3D content multicasting, we analyze the characteristics of 3D data and choose the minimum data set for unicast in order to avoid excessive bandwidth consumption. Then, a transcoding algorithm is proposed to address the issue of multiuser diversity. In addition, to take advantage of the nature of broadcast in wireless medium and further mitigate the issue of serious resource usage due to large data size, we propose to broadcast certain less important refinement data. With the proposed hybrid unicast/broadcast transmission scheme and a packet overhearing mechanism, good scalability can be achieved. Finally, we schedule the unicast according to users' experienced link condition to handle user mobility. Simulation results show that the proposed schemes in combination can efficiently achieve the dual objectives of low transmission delay and small distortion.
Analysis of Second-Order Modes of Linear Continuous-Time Systems under Positive-Real Transformations
Authors: Shunsuke Koshita, Yousuke Mizukami, Taketo Konno, Masahide Abe, Masayuki Kawamata
Venue: IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences (2008)

This paper discusses the behavior of the second-order modes (Hankel singular values) of linear continuous-time systems under variable transformations with positive-real functions. That is, given a transfer function H(s) and its second-order modes, we analyze the second-order modes of transformed systems H(F(s)), where 1/F(s) is an arbitrary positive-real function. We first discuss the case of lossless positive-real transformations, and show that the second-order modes are invariant under any lossless positive-real transformation. We next consider the case of general positive-real transformations, and reveal that the values of the second-order modes are decreased under any general positive-real transformation. We achieve the derivation of these results by describing the controllability/observability Gramians of transformed systems, with the help of the lossless positive-real lemma, the positive-real lemma, and state-space formulation of transformed systems.
An image processing approach to traffic anomaly detection
Authors: Romain Fontugne, Toshio Hirotsu, Kensuke Fukuda
Venue: Proceedings of the 4th Asian Conference on Internet Engineering (2008)

This paper discusses the possibility of applying an image-processing technique to detecting anomalies in Internet traffic, which is different from traditional techniques of detecting anomalies. We first demonstrate that anomalous packet behavior in darknet traces often has a characteristic multi-scale structure in time and space (e.g., in addresses or ports). These observed structures consist of abnormal and non random uses of particular traffic features. From the observations, we propose a new type of algorithm for detecting anomalies based on a technique of pattern recognition. The key idea underlying our algorithm is that anomalous activities appear as "lines" on temporal-spatial planes, which are easily identified by an edge-detection algorithm. Also, the application of a clustering technique to the lines obtained helps in classifying and labeling the numerous anomalies detected. The proposed algorithm was used to blindly analyze packet traffic traces collected from a trans-Pacific transit link. Furthermore, we compared the anomalies detected by our algorithm with those found by a statistical-based algorithm. Consequently, the comparison revealed that the two algorithms found mainly the same anomalies but some were of various different characteristic types.