ppxscal/embedding_network huggingface dataset:
Temporal Access Control Based on Multiple Subjects
Authors: Changzheng Xu, Qingxian Wang, Weiming Zhang, Yali Ding
Venue: Proceedings of the 2009 International Conference on Multimedia Information Networking and Security - Volume 02 (2009)

In the traditional history-based access control model, the policy is designed regarding only one subject. This policy is vulnerable, because if multi-subjects who have common interests collaborate, the access control may be bypassed. In addition, designing policy for multi-subjects' access is indispensable for many online applications. Towards this problem, a temporal access control based on multi-subjects is proposed in this paper. The main idea is to make decision of access according to active multi-subjects' history executions. A policy language is introduced and its syntax and semantics are defined formally. Finally, a policy verification algorithm is given and an example is used to illustrate it.
Mobile Real-Time Animated Maps for Moving Trains: Mobile JaPOPPO
Authors: Masatoshi Arikawa, Tatsuya Kida
Venue: Proceedings of the 2009 Third International Conference on Multimedia and Ubiquitous Engineering (2009)

We propose a new style user interface for browsing and interacting with real-time maps representing a large number of moving objects on mobile devices. The real-time maps show present locations of moving objects such as trains, cars and people on the conventional static maps composed of static geospatial objects such as roads, buildings and rivers. The emergence of the real-time maps can change the style of users’ interactions on mobile devices into more natural and direct ways for location based services (LBS). We discuss the basic concept, significance and system architecture of the real-time maps for LBS in this paper. Also, we introduce a prototype system Mobile JaPOPPO for providing present locations of trains in Tokyo. It also realizes the function for multiple users to share their generated content on the platform.
A Classification Method of Unstructured P2P Multicast Video Streaming Based on SVM
Authors: Chaobin Liu, Yuexiang Yang, Chuan Tang
Venue: Proceedings of the 2009 International Conference on Multimedia Information Networking and Security - Volume 01 (2009)

The classification of unstructured P2P multicast video streaming is the premise for playing online linkage and real-time evidence in the process of network monitoring management. A new classification method is demonstrated, and some real-time protocol behavior features are figured in this paper, which is found out through distinguishing packet type and transmission direction. With these accessible features a multi-classification support vector machine is built to identify applications of unstructured P2P multicast video streaming. The result of experiment shows that the method has high identification accuracy and satisfying real-time characteristic.
Compress-spread-forward with multiterminal source coding and complete complementary sequences
Authors: Chadi Khirallah, Vladimir Stankovic, Lina Stankovic, Yang Yang, Zixiang Xiong
Venue: IEEE Transactions on Communications (2009)

We propose a new technique, compress-spread-forward (CSF), for high-performance wireless streaming from two base stations in parallel. CSF uses multiterminal source coding for efficient source compression and complete complementary sequences for error-free multiple access and synchronization. Our practical design shows significant performance gains due to spatial diversity and distributed source coding.
Remote Controlling and Monitoring System with Voice Guide on Google Earth through Optimal Short Message Service
Authors: Xu Huaiyu, Ni Qing, Xu Yilai, Jiang Peng
Venue: Proceedings of the 2009 International Conference on Multimedia Information Networking and Security - Volume 02 (2009)

Short Message Service (SMS) has become a widely used communication way for mobile phone users where Global System for Mobile communications (GSM) covered. Although the GSM and SMS technology are successful and mature, there is a lot of limitations existed such as GSM module can not be operated by multi-thread program. In this paper, an optimal SMS is proposed and used in remote controlling and monitoring system on Google Earth (GE). Using optimal SMS and COM API provided by GE, users can control GE to fly to anywhere and the state of the D-Link camera by short messages. Besides that, a voice guiding system(VGS) based on Microsoft speech SDK 5.1 is added to make voice introduction for the place.
Delay analysis for sleep-based power saving mechanisms with downlink and uplink traffic
Authors: Fan Zhu, Yiqun Wu, Zhisheng Niu
Venue: IEEE Communications Letters (2009)

In wireless networks, sleep-based power saving mechanisms can reduce the energy consumption at the expense of additional packet delay. This paper proposes a queueing model to analyze the packet queueing delay. Compared with the existing models which consider downlink traffic only, both downlink and uplink traffic are considered in the analysis.
Collision free row column S-random interleaver
Authors: Orhan Gazi, A. Özgür Yilmaz
Venue: IEEE Communications Letters (2009)

Parallel decodable turbo codes (PDTCs) are suitable for concurrent decoding and hence have low latency. Memory collision issue is an important problem met during parallel processing. In this article, we propose a collision free interleaver for parallel processing operations. The performance of PDTCs is analyzed with the proposed random interleaver preventing the memory collision problem. Distance spectra of PDTCs with the proposed interleaver are computed and compared to those with S-random interleaver.
Relationship of psychological and physiological variables in long-term self-monitored data during work ability rehabilitation program
Authors: Juha Pärkkä, Juho Merilahti, Elina M. Mattila, Esko Malm, Kari Antila, Martti T. Tuomisto, Ari Viljam Saarinen, Mark van Gils, Ilkka Korhonen
Venue: IEEE Transactions on Information Technology in Biomedicine (2009)

Individual wellness comprises both psychological and physiological wellbeing, which are interrelated. In long-term monitoring of wellness, both components should be included. Work-related stress and burnout are persistent problems in industrial countries. Early identification of work-related stress symptoms and early intervention could reduce individual suffering and improve the working productivity and creativity. The goal of this study was to explore the relationship between physiological and psychological variables measured at home by the users themselves or automatically. In all, 17 (3 males and 14 females, age 40-62) people participating in a work ability rehabilitation program (due to work overload) were monitored for three months. Physiological and behavioral variables (activity, bed occupancy, heart rate (HR) and respiration during night,HR during day, blood pressure, steps, weight, room illumination, and temperature) weremeasured with different unobtrusive wireless sensors. Daily self-assessment of stress, mood, and behaviors (exercise, sleep) were collected using a mobile phone diary. The daily self-assessment of stress and the Derogatis stress profile questionnaire were used as reference for stress status. Results show modest, but significant pooled overall correlations between self-assessed stress level, and physiological and behavioral variables (e.g., sleep length measured with wristworn activity monitor: ρ = -0.22, p < 0.001, and variance of nightly bedroom illumination: ρ = 0.13, p < 0.001). Strong, but sometimes conflicting correlations can be found at individual level, suggesting individual reactions to stress in daily life.
HAMA: A Three-Layered Architecture for Integrating Object Tracking and Location Management in Wireless Sensor Networks
Authors: Chao-Chun Chen, Jenq-Muh Hsu, Chien-Han Liao
Venue: Proceedings of the 2009 Third International Conference on Multimedia and Ubiquitous Engineering (2009)

Recently, with the rapid development of microprocessor and wireless communication technologies,wireless sensors have become more popular in academic and industrial communities.The sensor network is used to be the interface between information systems and users in the real world, and sensors that support object tracking functions would broaden the types of sensor applications. In this paper, we propose an three-layered architecture, Hierarchical Alert Model Architecture (HAMA), to provide a complete solution to the problem.In the first layer, the object tracking server (OTS), is used to maintain the object locations with less precision due to the reduction of the communication for location updates.In the second layer, the tracking alert model is designed to assist the object tracking server (OTS), to manage all moving objects with higher precision in the sensor network.In the third layer, the sensing alert model is designed to assist the sensor nodes for tracking irregular movement objects.We then conduct experiments for verifying the performance of HAMA.The experimental results show that HAMA has superior performance in tracking and management of moving objects.
A large-scale gene network inference system for systems biology on supercomputing resources
Authors: Younghoon Kim, Doheon Lee, Yongseong Cho, Sang Joo Lee
Venue: Proceeding of the third international workshop on Data and text mining in bioinformatics (2009)

Motivation: Although gene expression data has been continuously accumulated and meta-analysis approaches have been developed to integrate independent expression profiles into larger datasets, the amount of information is still insufficient to infer large scale genetic networks. In addition, global optimization such as Bayesian network inference, one of the most representative techniques for genetic network inference, requires tremendous computational load far beyond the capacity of moderate workstations. Results: MONET is a Cytoscape plugin to infer genome-scale networks from gene expression profiles. It alleviates the shortage of information by incorporating pre-existing annotations. The current version of MONET utilizes thousands of parallel computational cores in the supercomputing center in KISTI, Korea, to cope with the computational requirement for large scale genetic network inference. Availability: A cytoscape plugin is available at http://cytoscape.org and a web service is at http://delsol.kaist.ac.kr/~monet/home
A new M-estimator based robust multiuser detection in flat-fading non-Gaussian channels
Authors: T. Anil Kumar, K. Deergha Rao
Venue: IEEE Transactions on Communications (2009)

We have proposed a new M-estimator based structure for noncoherent demodulation of differentially phase-shift keyed (DPSK) signals transmitted simultaneously via direct-sequence code division multiple access (CDMA) flat-fading channel and embedded in impulsive noise. The approach is also corroborated with simulation results to show the efficacy of the proposed detector with the proposed M-estimator in synchronous flat-fading non-Gaussian channels. The gross error sensitivity for the proposed estimator is analyzed. Further, lower bounds for the explosion and implosion breakdown points of the proposed estimator are derived.
State space representation of routing flexibility
Authors: Leonardo Rosa Rohde, Denis Borenstein
Venue: Computers and Industrial Engineering (2005)

This paper describes a state space representation for sequencing and routing flexibility in manufacturing systems. Routing flexibility is represented using five different stages as follows: (i) Precedence Graph of Operations; (ii) State Transition Graph of Manufacturing Operation Sequences; (iii) State Transition Graph of Manufacturing Operation Routes; (iv) Disjunctive Normal Form (DNF) Representation of Manufacturing Sequences; and (v) DNF Representation of Manufacturing Routes. Each representation is able to represent sequencing and routing flexibility at different levels of detail. The third representation is capable of enumerating all possible manufacturing operation routes that can be applied to a certain part, being the most complete representation. Bounds for computation of some of the representations are presented to help users select the most suitable for a specific problem context. The efficacy of the representation is demonstrated through its application to problems such as job route selection and routing flexibility measure.
Automatic generation of ETL processes from conceptual models
Authors: Lilia Muñoz, Jose-Norberto Mazón, Juan Trujillo
Venue: Proceeding of the ACM twelfth international workshop on Data warehousing and OLAP (2009)

Data warehouses (DW) integrate different data sources in order to give a multidimensional view of them to the decision-maker. To this aim, the ETL (Extraction, Transformation and Load) processes are responsible for extracting data from heterogeneous operational data sources, their transformation (conversion, cleaning, standardization, etc.), and its load in the DW. In recent years, several conceptual modeling approaches have been proposed for designing ETL processes. Although these approaches are very useful for documenting ETL processes and supporting the designer tasks, these proposals fail to give mechanisms to carry out an automatic code generation stage. Such a stage should be required to both avoid fails and save development time in the implementation of complex ETL process. Therefore, in this paper we define an approach for the automatic code generation of ETL processes. To this aim, we align the modeling of ETL processes in DW with MDA (Model Driven Architecture) by formally defining a set of QVT (Query, View, Transformation) transformations.
The self-organizing map, the Geo-SOM, and relevant variants for geosciences
Authors: Fernando Bação, Victor Lobo, Marco Painho
Venue: Computers Geosciences (2005)

In this paper we explore the advantages of using Self-Organized Maps (SOMs) when dealing with geo-referenced data. The standard SOM algorithm is presented, together with variants which are relevant in the context of the analysis of geo-referenced data. We present a new SOM architecture, the Geo-SOM, which was especially designed to take into account spatial dependency. The strengths and weaknesses of the different variants proposed are shown through a set of tests based on artificial data. A real world application of these techniques is given through the analysis of geodemographic data from Lisbon's metropolitan area.
Throughput study for admission control in IEEE 802.11 DCF with ARF
Authors: KunHo Hong, SuKyoung Lee, Nada Golmie
Venue: IEEE Communications Letters (2009)

We propose an analytical approach to determining the admission of new stations to a WLAN operating in IEEE 802.11 Distributed Coordination Function (DCF) with Auto Rate Fallback (ARF). The proposed approach is based on a cross layer analytical model of how the throughput of existing stations in the WLAN is affected by admitting the new station in nonsaturated as well as saturated traffic conditions. The effectiveness of the proposed approach is verified by simulations.
Face and Facial Feature Localization Based on Color Segmentation and Symmetry Transform
Authors: Cai Tao, Duan Shanxua, Liu Fangrui, Ren Ting
Venue: Proceedings of the 2009 International Conference on Multimedia Information Networking and Security - Volume 02 (2009)

An effective approach for face localization, based on skin color segmentation and gray image symmetry transform, is proposed in this paper. To reduce the influence of background and variable facial poses, the Blob analysis and ellipse fitting methods are employed to process the image blobs detected by conventional skin color segmenting strategy. Invalid blobs are removed and the candidate face regions are adjusted vertically. Furthermore, segmenting hue image is adopted to extract mouth region from each candidate face region. Afterwards, the Generalized Symmetry Transform (GST) of gray image is used to obtain the candidate's eyes and the real ones are detected by combined optimization strategy of the proposed cost function which is related to the model of facial geometry and positions of eyes and mouth. Finally, other facial features such as chin and cheek are then precisely located. The test results verify the robustness of the proposed method.
Fetal weight estimation using the evolutionary fuzzy support vector regression for low-birth-weight fetuses
Authors: Jinhua Yu, Yuanyuan Wang, Ping Chen
Venue: IEEE Transactions on Information Technology in Biomedicine (2009)

Accurate estimation of fetal weight before delivery is of great benefit to limit the potential complication associated with the low-birth-weight infants. Although the regression analysis has been used as a daily clinical means to estimate the fetal weight on the basis of ultrasound measurements, it still lacks enough accuracy for low-birth-weight fetuses. The ineffectiveness ismainly due to the large inter- or intraobserver variability inmeasurements and the inappropriateness of the regression analysis. A novel method based on the support vector regression (SVR) is proposed to improve the weight estimation accuracy for fetuses of less than 2500 g. Here, fuzzy logic is introduced into SVR (termed FSVR) to limit the contribution of inaccurate training data to themodel establishment, and thus, to enhance the robustness of FSVR to noisy data. To guarantee the generalization performance of the FSVR model, the nondominated sorting genetic algorithm (NSGA) is utilized to obtain the optimal parameters for the FSVR, which is referred to as the evolutionary fuzzy support vector regression (EFSVR) model. Compared with regression formulas, back-propagation neural network, and SVR, EFSVR achieves the lowestmean absolute percent error (6.6%) and the highest correlation coefficient (0.902) between the estimated fetal weight and the actual birth weight. The EFSVR model produces significant improvement (1.9%-4.2%) on the accuracy of fetal weight estimation over severalwidely used formulas. Experiments showthe potential of EFSVR in clinical prenatal care.
An Optimized Method of De-blocking Filter in H.264/AVC
Authors: Guoxing Bao, Honghua Hu
Venue: Proceedings of the 2009 International Conference on Multimedia Information Networking and Security - Volume 02 (2009)

In order to reduce the blocking artifacts in the video frames, H.264/AVC introduces an in-loop de-blocking filter technique. The main drawback of the filter is its high computational complexity. The determination of Bs consumed the most computational resource, because there were five Bs types for every edge to choose. So in this paper we proposed an optimized method that classified edges into 3 types to which no filter, weak filter and strong filter are applied. The computer simulation results indicate that: compared to the JM13.2 filter algorithm, proposed algorithm can decrease total average computations by 54.9% while maintaining the PSNR and bit rate. 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
Integration of theories in an online course development
Authors: Da Zhang, Li Zhou, Christine Wolfe
Venue: Proceedings of the 10th IASTED International Conference on Computers and Advanced Technology in Education (2007)

This paper presents the authors' experience of integrating design theory and learning theory in an online computer course development. The development consists of three phases: (a) the course feasibility study -- a trial study in which students are provided with a mix of online and in class materials and of the students' learning progress in a computer science technology course in relation to their mode of learning (attending classes vs. taking the course online); (b) the course design and implementation -- using Three-Dimension (3D) ITD Integration Model to convert the classroom curriculum into an online curriculum, and using an integrative learning theory as a framework to implement the course online, with a focus on the interplay between self-regulation and external regulation of learning processes; and (c) the course evaluation -- assessing the learning outcome of both online students and classroom students with a pretest-posttest design and conducting a comparative analysis of online class and classroom class. Reflections and considerations in the course development are discussed.
Optimal ladder filters
Authors: Gerrit Groenewold
Venue: IEEE Transactions on Circuits and Systems II: Express Briefs (2009)

Optimizing the dynamic range of active filters through filter network optimization can lead to significant savings in chip area and power consumption. By restricting the filters to be ladder filters, it is possible to limit the complexity of the optimized networks.
3-D symbolization of L-S fabrics as an aid to the analysis of geological structures
Authors: Eric A. de Kemp, Ernst M. Schetselaar, Kevin Sprague
Venue: Computers Geosciences (2006)

The digital capture and management of primary field observations has expanded the potential to represent site-specific geological information in a more intuitive manner, ultimately optimizing the interpretation of map-related geological field observations. In structural mapping, for example, the geometry and kinematics of large-scale structures needs to be reconstructed from local measurements and observations of linear and planar fabric elements. The traditional methods for fabric representations are inherently restrictive because they do not allow simultaneous representation of the orientation and nature of the fabric with respect to the structural level of observation. To overcome these limitations we represent planar (S) fabric elements as the flat portion of a 3-D ellipsoid or 'surfboard' symbol according to their strike/dip attributes. The associated linear (L) fabric elements are represented by the elongation direction of the 'surfboard', thus reflecting the pitch of the linear element in the fabric plane. The resulting composite linear-planar fabric (L-S) representation is positioned in 3-D space according to its location in (x, y, z) space. By adjusting the principal axis of the 'surfboard', variations in the shape of the elements can be used as an additional symbolization of the strain-state of the fabric, ranging from pure L to L>S, S>L to pure S fabrics. Various colour mappings of the 'surfboard' can be used to indicate the degree of co-planarity between lineations and planar fabric orientations. This 3-D visualization of L-S fabrics aids in first-order interpretation of regional scale ductile structures, such as thrusts and low-angle detachment faults. An application is presented from the Mulhacen metamorphic complex of the Internal Zone of the Betic Cordillera, SE Spain, demonstrating the 3-D fabric visualization method. This method facilitates recognition of variations in lineation trends with respect to the structural level within a ductile nappe structure and subsequent overprinting deformation events. The approach is considered relevant to all other applications where local field-based measurements and descriptions are fundamental to the reconstruction of macro-scale geologic processes.
Proposal of new collaborative learning method in the e-learning: realizing a "weak collaborative learning"
Authors: He Songhao, Kenji Saito, Hajime Saito, Takashi Maeda
Venue: Proceedings of the 10th IASTED International Conference on Computers and Advanced Technology in Education (2007)

In this research, in order to achieve the idea of "anytime, anywhere, anyone" in e-Learning environment, we need to shift the knowledge transmission type from teacher's initiation to the knowledge construction type using communication initiated by learners themselves, and we investigate into making good use of some advantages of the usual collaborative learning, and we propose the learning method of a new "weak collaborative learning" in the e-Learning. Moreover, we examine the implementation method of the concrete system, which is comparatively easy to be implemented by the use of open source CMS, and we convince that it is very important for the developing of the e-Learning.