ppxscal/embedding_network huggingface dataset:
A 10-Gb/s inductorless CMOS analog equalizer with an interleaved active feedback topology
Authors: Jian-Hao Lu, Ke-Hou Chen, Shen-Iuan Liu
Venue: IEEE Transactions on Circuits and Systems II: Express Briefs (2009)

A 10-Gb/s low-power analog equalizer for a 10-m coaxial cable has been realized in 0.13-µm CMOS technology. To compensate the cable loss of 20 dB at 5 GHz, this equalizer with an interleaved active feedback topology is proposed without using inductors. Moreover, additional capacitive and resistive source degenerations are incorporated to meet low-frequency losses. This circuit consumes only 14 mW (excluding the output butTer) from a 1.2-V supply with the output swing up to 400 mVpp, and it occupies 0.38 × 0.34 mm2. For 8-, 9-, and 10-Gb/s pseudorandom binary sequences (PRBSs) of 231 -- 1, the measured maximum peak-to-peak jitters are 26, 34, and 40 ps, respectively, and the measured bit error rate (BER) is less than 10-12.
Digital portfolios for English lesson assessment in a Japanese junior high school
Authors: Rika Iwami, Curtis P. Ho, Shigeru Narita
Venue: Proceedings of the 10th IASTED International Conference on Computers and Advanced Technology in Education (2007)

The purpose of this study was to apply the educational benefit of digital portfolios to English language learning and examine its effects and challenges as an assessment tool. An English lesson employed the use of digital portfolios using a multi-purpose application software that is readily available at public junior high schools. A lesson with traditional paper-based portfolios (portfolios hereafter) was also conducted and its effects and challenges were considered before the lesson integrating the digital portfolio was designed. Although the study did not yield many statistically significant differences between the outcomes of portfolio and digital portfolio lessons, the observation of students' attitudes and analysis of their answers of questionnaires showed that the activities involving digital portfolios were positively received and effective, especially with regards to their reflections. Furthermore, exhibiting the learning records on the web, appropriate integration of the on-line software into the lesson and evaluation methods of students' speaking abilities were identified as future challenges.
Investigating the interaction between oncogene and tumor suppressor protein
Authors: E. Pirogova, M. Akay, I. Cosic
Venue: IEEE Transactions on Information Technology in Biomedicine (2009)

Itis known that cancer develops when cells in a part of the body begin to growout of control. Because cancer cells continue to grow and divide with no order, they never differentiate into the specific tissue, and thus, they are functionally different from normal cells. However, there are some genes that help to prevent cells' malignant behavior, and therefore, are referred to as tumor suppressor genes. Here, we have investigated the structural and functional relationships of p53, oncogene and interleukin 2 (IL2) proteins using the resonant recognition model (RRM), a physicomathematical approach based on digital signal processing methods. In addition, using theRRMconcepts, we have designed the peptide analoges that would exhibit tumor-suppression-like activity and be used in anticancer vaccine development.
SHOIQD System an Approach to Integrate Description Logic SHOIQ with Nonmonotonic Rules
Authors: Ling Ji, Dantong Ouyang, Yuxin Ye
Venue: Proceedings of the 2009 Fifth International Joint Conference on INC, IMS and IDC (2009)

In this paper, we will introduce a hybrid knowledge system SHOIQD to integrate the description logic SHOIQ and nonmonotonic rules preserving decidability. We first define the syntax of the integrated knowledge base and then introduce it’s semantic based on well founded semantic. Next, we develop a new algorithm to answer queries over the knowledge base. Our algorithm is combination of SLS-derivation procedure which is the reasoning algorithm for nonmonotonic rules and the Tableaux reasoning algorithm used in the description logic. Thus, the existing ontology reasoners and rule reasoners could be re-used when implementing our algorithm.
The Emulation Research of Flame Detection on Fuzzy Fusion Method
Authors: Sun Tao, Zhang Wen-jie
Venue: Proceedings of the 2009 Second International Workshop on Computer Science and Engineering - Volume 02 (2009)

Abstract—In order to enhance the efficiency of the boiler flame detector, avoiding the "peek" phenomenon, the information fusion of fuzzy control method is presented. Analysis of the visible and infrared radiation by fuzzy control determines the state of flame. The simulation results show that using fuzzy fusion control can propose the flame detection rate of accuracy effectively. 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
An effective approach for test-sheet composition with large-scale item banks
Authors: Gwo-Jen Hwang, Bertrand M. T. Lin, Tsung-Liang Lin
Venue: Computers Education (2006)

A well-constructed test sheet not only helps the instructor evaluate the learning status of the students, but also facilitates the diagnosis of the problems embedded in the students' learning process. This paper addresses the problem of selecting proper test items to compose a test sheet that conforms to such assessment requirements as average difficulty degree, average discrimination degree, length of test time, number of test items, and specified distribution of concept weights. A mixed integer programming model is proposed to formulate the problem of selecting a set of test items that best fit the multiple assessment requirements. As the problem is a generalization of the knapsack problem, which is known to be NP-hard in the literature, computational challenge hinders the development of efficient solution methods. Seeking approximate solutions in an acceptable time is a viable alternative. In this paper, we propose two heuristic algorithms, based upon iterative adjustment, for finding quality approximate solutions. Extensive experiments are also conducted to assess the performances of different solution methods. Statistics from a series of computational experiments indicate that our proposed algorithms can produce near-optimum combinations of the test items subject to the specified requirements in a reasonable time.
One-dimensional inversion of geo-electrical resistivity sounding data using artificial neural networks-a case study
Authors: U. K. Singh, R. K. Tiwari, S. B. Singh
Venue: Computers Geosciences (2005)

This paper deals with the application of artificial neural networks (ANN) technique for the study of a case history using 1-D inversion of vertical electrical resistivity sounding (VES) data from the Puga valley, Kashmir, India. The study area is important for its rich geothermal resources as well as from the tectonic point of view as it is located near the collision boundary of the Indo-Asian crustal plates. In order to understand the resistivity structure and layer thicknesses, we used here three-layer feedforward neural networks to model and predict measured VES data. Three algorithms, e.g. back-propagation (BP), adaptive back-propagation (ABP) and Levenberg-Marquardt algorithm (LMA) were applied to the synthetic as well as real VES field data and efficiency of supervised training network are compared. Analyses suggest that LMA is computationally faster and give results, which are comparatively more accurate and consistent than BP and ABP. The results obtained using the ANN inversions are remarkably correlated with the available borehole litho-logs. The feasibility study suggests that ANN methods offer an excellent complementary tool for the direct detection of layered resistivity structure.
A Novel IDS Model Based on a Bayesian Fusion Approach
Authors: Ye Xu, Wen-bo Zhang
Venue: Proceedings of the 2009 International Conference on Multimedia Information Networking and Security - Volume 02 (2009)

A novel IDS model based on Bayesian fusion approach is studied in this paper. The model comprises several parts such as the pixel level fusion, feature level fusion, decision-making level fusion and so on. Experiments show that the model could result in a better recognition of attacks through processing procedures including noise reduction, feature extraction, inference and decision-making.
Stability and bifurcation analysis of a class of networked dynamical systems
Authors: Guofeng Zhang, Wei Xing Zheng
Venue: IEEE Transactions on Circuits and Systems II: Express Briefs (2009)

In this brief, stability and bifurcation in a class of networked dynamical systems are investigated. First, it is shown that, for each member of the family, there is a globally attracting region. Then, the local stability of a particular fixed point (0, 0) is investigated; afterward, it is found that this fixed point is a bifurcation point as a certain system parameter varies. Finally, a family of 3-D dynamical systems is numerically studied, with rich and diverse bifurcating phenomena and geometrically different attractors being revealed. It is also observed that the geometry of attractors undergoes continuous deformation as a function of a certain parameter.
Sequential estimation of multipath MIMO-OFDM channels
Authors: Daniele Angelosante, Ezio Biglieri, Marco Lops
Venue: IEEE Transactions on Signal Processing (2009)

Wireless "MIMO" systems, employing multiple transmit and receive antennas, promise a significant increase of channel capacity, while orthogonal frequency-division multiplexing (OFDM) is attracting a good deal of attention due to its robustness to multipath fading. Thus, the combination of both techniques is an attractive proposition for radio transmission. The goal of this paper is the description and analysis of a new and novel pilot-aided estimator of multipath block-fading channels. Typical models leading to estimation algorithms assume the number of multipath components and delays to be constant (and often known), while their amplitudes are allowed to vary with time. Our estimator is focused instead on the more realistic assumption that the number of channel taps is also unknown and varies with time following a known probabilistic model. The estimation problem arising from these assumptions is solved using Random-Set Theory (RST), whereby one regards the multipath-channel: response as a single set-valued random entity. Within this framework, Bayesian recursive equations determine the evolution with time of the channel estimator. Due to the lack of a closed form for the solution of Bayesian equations, a (Rao-Blackwellized) particle filter (RBPF) implementation of the channel estimator is advocated. Since the resulting estimator exhibits a complexity which grows exponentially with the number of multipath components, a simplified version is also introduced. Simulation results describing the performance of our channel estimator demonstrate its effectiveness.
User profiling and personalized information delivery on the static and mobile web
Authors: Dik Lun Lee
Venue: Proceeding of the eleventh international workshop on Web information and data management (2009)

Imagine a system that can push highly selective information right to our hands when and only when we need it. This requires a mind-reading machine, but unfortunately we don't have one --- yet. User profiling attempts to estimate what is most important to a user at a particular point in time and space. In this talk, I will start with simple raw data such as the users' queries and clicks on the web and places they have visited to estimate what they might be interested in. We further divide user interests into content-based and location-based. We discuss issues involving the transformation of raw activities to conceptual needs, identifying user groups for collaborative filtering and the roles of locations in personalized information delivery.
An integrated switching DC-DC converter with dual-mode pulse-train/PWM control
Authors: Feng Luo, Dongsheng Ma
Venue: IEEE Transactions on Circuits and Systems II: Express Briefs (2009)

This brief presents an integrated switching converter with a dual-mode control scheme. A pulse-train (PT) control employing a combination of four pulse control patterns is proposed to achieve optimal regulation performance under various operation scenarios. Meanwhile, a high-frequency pulsewidth modulation (PWM) control is adopted to ensure low output ripples and avoid digital limit cycling in steady state. The converter was fabricated with a 0.35-µm digital CMOS n-well process. The entire die area, including the on-chip pads and power devices, is 1.31 mm2. Experimental results show that, in the steady state, the output voltage is well regulated at 1.5 V with ±12.5-mV ripples in the PWM mode. The measured maximum efficiency is 91%, and the efficiency stays above 70% within the entire 500-mW power range. In transient measurements, with a 100% load step change from 50 to 100 mA, the output voltage of the converter settles within 345 ns due to the fast response of the PT control, with a maximum voltage variation of 164 mV. The converter functions well when the input supply voltage frequently varies between 2.2 and 3.3 V, with a line regulation of 29.1 mV/V.
Syntactic and semantic metadata integration for science data use
Authors: Sunil Movva, Rahul Ramachandran, Xiang Li, Sarita Khaire, Ken Keiser, Helen Conover, Sara Graves
Venue: Computers Geosciences (2005)

This paper proposes a novel metadata solution to allow applications to intelligently use science data in an automated fashion. The solution provides rich syntactic and semantic metadata, where the semantic metadata is linked with an ontology to define the semantic terms. This solution allows applications to exploit the syntactic metadata to read the data and the semantic metadata to infer the content and the meaning of the data. The solution presented in this paper leverages the Earth Science Markup Language for providing the syntactic metadata and adds a semantic metadata component along with links to the appropriate ontology. This new semantic component is orthogonal to the syntactic metadata, so it does not perturb the existing design. An example application was designed and built that integrates this syntactic and semantic metadata via an ontology to perform a data processing operation.
Parallel processing of Prestack Kirchhoff Time Migration on a PC Cluster
Authors: Hengchang Dai
Venue: Computers Geosciences (2005)

This paper discusses an approach that implements a parallel processing of 3-D Prestack Kirchhoff Time Migration (PKTM) on a low-cost PC Cluster by using the Message Passing Interface (MPI), and analyses its performance using a real seismic data as examples. The PC Cluster provides a significant acceleration of the migration processing with the exact same image quality. The ratio between the communication time and processing time is a critical indicator for determining the efficiency of the PC Cluster. If the processing time is longer than the communication time, using more CPUs can efficiently reduce the elapsed time. On the contrary, using more CPUs cannot reduce the elapsed time. Appling this approach to the Alba dataset on our PC Cluster up to 15 CPUs, the elapsed time of PKTM is inversely proportional to the number of CPUs used. The elapsed time for migrating a 2-D seismic line is reduced from 15h using one CPU to 1h using 15 CPUs. The elapsed time for migrating a 3-D image is reduced from 630h using one CPU to 42h using 15 CPUs. Further reduction can be achieved by using more CPUs. However, an optimal CPU number is expected for an application on large PC clusters with hundreds of nodes. Adapting existing algorithms to the cluster environment offers the potential to allow the application of more accurate algorithms for PKTM to construct a more accurate image. This work has proven that the PC Cluster is a powerful and scalable computing resource for oil and gas exploration organizations.
Model for router-level internet topology based on attribute evolution
Authors: Jian Wang, Yanheng Liu, Cheng Zhang, Yu Jiao
Venue: IEEE Communications Letters (2009)

Through the analysis of network topology of national Internet Service Provider (ISP), we introduce the concept of "attraction degree". And we point out that the growth of Internet topology should be attributed to interaction between node's own internal and external factors. Considering the effects of both attribute evolution and geographical limit on topology evolution, we propose a new modeling algorithm for Internet router-level topology. By means of power-law and Laplacian eigenvalue, the presented modeling algorithm is proved to be capable to model Internet router-level topology more exactly.
Constructing multi-resolution triangulated irregular network model for visualization
Authors: Bisheng Yang, Qingquan Li, Wenzhong Shi
Venue: Computers Geosciences (2005)

It is essential to generate multi-resolution triangulated irregular network (TIN) models dynamically and efficiently in three-dimensional (3D) visualization, virtual reality (VR), and geographic information systems (GIS), because the data processed is multiple in scale and large in volume. This paper proposes a new approach, which extends the iterative edge collapses and vertex splits algorithm, to dynamically generate multi-resolution TIN models. Moreover, a new method was proposed to improve the efficiency of vertex topological relationships storing in multi-resolution TIN models. And a set of rules were defined to improve the validity judgment of vertex splits and edge collapses. To evaluate the performance of the proposed approach, the root mean square error (RMSE) of the elevation of vertex and the quality of the shapes of triangles were measured to evaluate the quality of a generated multi-resolution TIN model. The experimental results demonstrate that the proposed approach can generate multi-resolution TIN models with a higher accuracy and better time performance.
Increasing spectrum capacity for ad hoc networks using cognitive radios: an analytical model
Authors: Hassan Al-Mahdi, Mohamed A. Kalil, Florian Liers, Andreas Mitschele-Thiel
Venue: IEEE Communications Letters (2009)

In this letter, an analytical model to evaluate the performance of ad hoc devices equipped with cognitive radio capabilities, is investigated. By applying cognitive radio technology, the ad hoc devices will utilize the unused spectrum of the existing legacy systems in an opportunistic manner in addition to using the unlicensed spectrum. Therefore, the network throughput will be increased. The results show that the performance is improved in terms of blocking and dropping probabilities.
Distribution of L-values in gray-mapped M2-QAM: closed-form approximations and applications
Authors: Alex Alvarado, Leszek Szczecinski, Rodolfo Feick, Luciano Ahumada
Venue: IEEE Transactions on Communications (2009)

In this paper we develop closed form approximations for the probability density function (PDF) of the reliability metrics (L-values) in bit-interleaved coded modulation (BICM). The expressions are valid for M2-ary quadrature amplitude modulations (M2-QAM) with binary reflected Gray mapping when the metrics are calculated using the so-called max-log approximation. Based on the developed expressions, we also propose two simple Gaussian mixture approximations that are analytically tractable. We apply our developments to efficiently calculate the BICM capacity, and to develop bounds on the coded bit-error rate when a convolutional code is used. The coded performance of a hybrid automatic repeat request (HARQ) based on constellation rearrangement is also evaluated.
QAM and PSK codebooks for limited feedback MIMO beamforming
Authors: Daniel J. Ryan, I. Vaughan L. Clarkson, Iain B. Collings, Dongning Guo, Michael L. Honig
Venue: IEEE Transactions on Communications (2009)

This paper considers the problem of beamforming in multiple-input multiple-output (MIMO) wireless systems. Assuming perfect channel state information at the receiver, the choice of the beamforming vector is made possible through a noiseless limited-rate feedback of one or more bits per coefficient to the transmitter. This paper proposes the use of beamforming codebooks based on quadrature amplitude modulation (QAM) and phase-shift keying (PSK) constellations, which essentially eliminates the need for storage of the codebook. We show that such codebooks perform arbitrarily close to the perfect feedback case as the constellation size increases, and that full diversity order is achieved. We demonstrate an equivalence between the beamforming codebook search problem with that of noncoherent sequence detection. Based on this we propose fast beamforming vector search algorithms. Monte-Carlo simulations are presented to show that the performance is comparable to the best known codebooks, and that the search complexity can be reduced by several orders of magnitude.
Decision feedback detectors for SOQPSK
Authors: Erik Perrins, Balachandra Kumaraswamy
Venue: IEEE Transactions on Communications (2009)

We consider highly-simplified decision feedback detectors for shaped-offset quadrature phase-shift keying (SOQPSK), a highly bandwidth-efficient and popular constant-envelope modulation. In particular, we show that the state complexity can be reduced to a minimal level--two states-- with asymptotically optimum performance, as demonstrated by performance analysis and confirmed by computer simulations. The complexity reduction is achieved by a novel manipulation of the differential encoder and the SOQPSK precoder, which are both part of the transmission model for SOQPSK. We give two possible architectures for achieving this complexity reduction: the pulse amplitude modulation (PAM) technique and the pulse truncation (PT) technique. We also formulate these detectors for coherent and noncoherent detection. The resulting family of detectors makes use of recent advances in SOQPSK technology based on a continuous phase modulation (CPM) interpretation of SOQPSK. The proposed simplifications are significant because they minimize the complexity of trellis-based SOQPSK detectors, which have become available only in recent years. Because trellis-based SOQPSK detectors are 1-2 dB superior to the widely-deployed family of symbol-by-symbol SOQPSK detectors, the proposed two-state detectors offer the simplest means of achieving these performance gains. Thus, these simple detection schemes are applicable in settings where high performance and low complexity are needed to meet restrictions on power consumption and cost.
Optical drop-add-drop network architecture with centralized multi-carrier light source
Authors: Yueping Cai, Motoharu Matsuura, Eiji Oki, Naoto Kishi, Tetsuya Miki
Venue: IEEE Communications Letters (2009)

This letter proposes an optical drop-add-drop network architecture with a centralized multi-carrier light source (C-MCLS) for regional and metro network applications. In the drop-add-drop network, optical carriers generated by the CMCLS are dropped at the source nodes and used for uplink transmission. Data are added to the network after external modulations of the carriers. Data are then dropped at the destination nodes. The reconfigurable optical add/drop multiplexer (ROADM) at each node is not only used to add and drop data, but also to drop carriers, which eliminates the distributed laser diodes needed by the conventional network. Network cost analysis and numerical results show that it offers significantly lower network cost compared to the conventional network if the total number of used wavelengths in the network is large. We evaluate its optical performance through an optical signal-to-noise ratio (OSNR) analysis. We show its applicable network size in terms of fiber span length and the number of nodes under a specified bit error rate (BER) when changing the OSNR of the C-MCLS.