ppxscal/embedding_network huggingface dataset:
Incremental non-gaussian analysis of microarray gene expression data
Authors: Kam Swee Ng, Hyung-Jeong Yang, Sun-Hee Kim
Venue: Proceeding of the third international workshop on Data and text mining in bioinformatics (2009)

The microarray is gaining popularity in biomedical research due to its ability to analyze hundreds to thousands of genes simultaneously in one experiment. However, the unique nature of microarray data, with a large number of features but relative small number of samples, poses challenges to process the microarray data effectively. The curse of dimensionality introduces the importance of feature extraction in analyzing microarray data. Therefore, we propose a novel incremental method to discover the non-Gaussian weight from the microarray gene expression data with high efficiency. Our proposed method can discover a small number of compact features from a huge number of genes and can still achieve good predictive performance. It integrates non-gaussianity and an adaptive incremental model in an unsupervised way to extract informative features. It is also plausible to analyze microarray data with the number of features much larger than number of observations with promising results.
Modeling risk and simulation-based optimization of channel depths at Cam Pha Coal Port
Authors: N. M. Quy, J. K. Vrijling, P. H. A. J. M Gelder, R. Groenveld
Venue: Proceedings of the IASTED Asian Conference on Modelling and Simulation (2007)

This paper presents a simulation-based method and a risk model of ship grounding for a long-term optimization of channel depths. The long-term optimization of channel depths should be considered a two-stage process: Firstly, establishing a ship entrance guidance to facilitate a required navigation safety with respect to an acceptable risk of ship grounding due to wave impacts. As basis for such guidance, ship motion responses are defined as a function of the sea state (described by significant wave height Hs and wave period T2) and the transit condition (ship speed V and ship draft T). Secondly, using the Monte Carlo method and based on the established accessibility policy, a simulation model is developed to define a safe underkeel clearance allowance for ship entrance and simultaneously determine downtimes that correspond to an acceptable grounding risk for a specified ship and a generated sea state. The final results derived from the simulation model can be considered as the key parameters in analysis and selection of an optimal depth. The approach was applied to the entrance channel of Cam Pha Coal Port, Vietnam as a case study.
Enhanced SNR estimates from direct-sequence spread-spectrum demodulator statistics
Authors: Steven W. Boyd, Michael B. Pursley
Venue: IEEE Communications Letters (2009)

Demodulator statistics are used in a binary direct-sequence spread-spectrum receiver to improve the performance of a well-known signal-to-noise ratio (SNR) estimate for ratios of the binary symbol energy to one-sided noise density that are below approximately 7 dB. The new estimate requires no pilot symbols, training sequences, data symbol decisions, or channel measurements, and it can be obtained prior to decoding.
A Query-Dependent Ranking Approach for Search Engines
Authors: Lian-Wang Lee, Jung-Yi Jiang, ChunDer Wu, Shie-Jue Lee
Venue: Proceedings of the 2009 Second International Workshop on Computer Science and Engineering - Volume 01 (2009)

Ranking model construction is an important topic in web mining. Recently, many approaches based on the idea of “learning to rank” have been proposed for this task and most of them attempt to score all documents of different queries by resorting to a single function. In this paper, we propose a novel framework of query-dependent ranking. A simple similarity measure is used to calculate similarities between queries. An individual ranking model is constructed for each training query with corresponding documents. When a new query is asked, documents retrieved for the new query are ranked according to the scores determined by a ranking model which is combined from the models of similar training queries. A mechanism for determining combining weights is also provided. Experimental results show that this query-dependent ranking approach is more effective than other approaches.
Generalized precoded block-spread CDMA
Authors: Justin P. Coon
Venue: IEEE Transactions on Communications (2009)

A novel block-spread code-division multiple access (BS-CDMA) framework is presented whereby user-specific, channel-independent precoding is employed along with special spreading codes to ensure multi-user interference free reception with maximum user load. This framework is presented in a general form, from which other BS-CDMA techniques can be derived. Finally, it is shown that specific precoder and spreading code designs facilitate low-complexity frequency-domain equalization at the receiver.
3D Protein Structure Prediction with Genetic Tabu Search Algorithm in Off-Lattice AB Model
Authors: Ting Wang, Xiaolong Zhang
Venue: Proceedings of the 2009 Second International Symposium on Knowledge Acquisition and Modeling - Volume 01 (2009)

A novel hybrid algorithm GATS (Genetic Tabu Search), which combines Genetic Algorithm (GA) and Tabu Search (TS) Algorithm, is presented for dealing with multi-extremum and multi-parameter problem based on AB off-lattice model in the predicting 3D protein folding structure. Tabu Search is introduced into the crossover and mutation operators in the Genetic Algorithm to improve the local search ability, and a variable population size is designed to keep the diversity of population. Experimental results show that the lowest energies computed by our GATS algorithm are better than those obtained by previous methods, and the lowest-energy conformation of a given protein sequence obtained by GATS forms a single hydrophobic core as observed in real proteins. Compared with previous approaches, GATS algorithm has higher efficiency and can predict 3D protein structure more effectively.
Comments on "Probability distributions for the number of radio transceivers which can communicate with one another"
Authors: Alberto Zanella, Mauro Stramazzotti, Flavio Fabbri, Enrica Salbaroli, Davide Dardari, Roberto Verdone
Venue: IEEE Transactions on Communications (2009)

We discuss the correctness of one of the main results of [1] about the probability density function of the distance between two audible nodes in an infinite 2-dimensional scenario. We prove that result [1, eq. (7)] is wrong and derive a more general expression, which is valid for an infinite d-dimensional area. It is worth noting that, although the results on the distribution of the distance between two nodes are wrong, the other results of [1], and in particular the fact that the number of audible nodes in an arbitrary area is a Poisson r.v. is correct.
On the speed of convergence to stationarity of the Erlang loss system
Authors: Erik A. Doorn, Alexander I. Zeifman
Venue: Queueing Systems: Theory and Applications (2009)

We consider the Erlang loss system, characterized by N servers, Poisson arrivals and exponential service times, and allow the arrival rate to be a function of N. We discuss representations and bounds for the rate of convergence to stationarity of the number of customers in the system, and display some bounds for the total variation distance between the time-dependent and stationary distributions. We also pay attention to time-dependent rates.
A Novel Cloud-Based Subjective Trust Model
Authors: Mo Yang, Lina Wang, Yuandong Lei
Venue: Proceedings of the 2009 International Conference on Multimedia Information Networking and Security - Volume 01 (2009)

The creditability and reliability of Web services is becoming an important factor to SOAs. In this paper, a cloud trust model is proposed to maintain the trustiness of services. Trust cloud transform which can reduce the trust date transferred is presented. Trust cloud operators which use cloud drops as the basic processing units are defined. The combination and update of the trust cloud are proposed. Six type of Web sits' state are defined. Experiment shows that this model could maintain the recent behaviors of Web sites and could be used to estimate the creditability of the next behaviors very well.
A movable jaw model for the human face
Authors: Uur Güdükbay
Venue: Computers and Graphics (1997)

Although there is a great deal of work on facial animation, there is not much research on the effect of jaw motion on the movement of the face. The complex nature of the jaw bones makes it difficult to implement all the motions the jaw can do. The human jaw has two widely separated identical joints behaving like a single joint. Widely separated joints of the mandible (lower jaw bone) allow it to translate in any direction and/or rotate about any axis in three-dimensional space although its movements are somewhat restricted by physical constraints and patterns of muscle activity. A simplified jaw model which covers the major movements of the jaw is proposed in this paper. The lower jaw in the model can rotate around the axis connecting the two ends of the jaw and make small translational motions in any direction in 3-D space. The face is modeled as a two layer model which is attached to the jaw. The inner layer of the face moves kinematically as dictated by the jaw. The outer layer moves with the effect of the springs connecting it to the inner layer. The motion of the outer layer is calculated using spring-mass equations. Eating and chewing actions are simulated as applications of the model.
Efficient architectures for multiuser FMT systems and application to power line communications
Authors: Andrea M. Tonello, Francesco Pecile
Venue: IEEE Transactions on Communications (2009)

In this letter we study filtered multitone modulation (FMT) for broadband multiuser power line communications. We address the implementation problem, and we derive a novel efficient digital implementation of both the synthesis and the analysis filter bank. A simple fractionally spaced multiuser receiver is also proposed.
A Hidden Markov Model Based Framework for Tracking and Predicting of Attack Intention
Authors: Xin Zan, Feng Gao, Jiuqiang Han, Yu Sun
Venue: Proceedings of the 2009 International Conference on Multimedia Information Networking and Security - Volume 02 (2009)

Recently, several approaches for intrusion correlation and attack scenario analysis have been proposed. However, these approaches all focus on the flooding alert reduction or high-level alert correlation. In this paper, we study the problem of tracking and predicting of attack intentions. We use hidden markov models to represent the typical attack scenarios and design a complete framework named HMM-AIP composed of online tracking and prediction module and offline model training module. A novel and effective tracking and predicting attack intention algorithm is presented. We perform experiments to validate our algorithm and the results show that our approach can identify false alert and give the creditable prediction result when the alert observation sequence fits the typical attack scenarios nicely.
SniffMob: inferring human contact patterns using wireless devices
Authors: Eric Anderson, Caleb Phillips, Harold Gonzales, Kevin Bauer, Douglas Sicker, Dirk Grunwald
Venue: Proceedings of the 1st ACM International Workshop on Hot Topics of Planet-Scale Mobility Measurements (2009)

The size of existing data sets regarding human mobility and person-to-person contact has been limited by the labor-intensive nature of the data collection techniques employed. In this paper, we propose a practical data collection system which is automatic and transparent to the user, requires only installing new software, and uses the multiple sensing capabilities provided by current commodity mobile devices. This approach allows the scale and duration of these human contact studies to increase by several orders of magnitude and allows for the collection of location and contact information about individuals who do not install our data collection software. We present an analysis of the expected coverage of our data collection system drawing from existing data sets and random graph theory. To illustrate the type of application enabled by the availability of human contact data, we present "personalized epidemiology," a novel application that provides its users with information about their exposure to illness and offers advice on how to remain healthy.
Hybrid finite element-wave-based method for steady-state interior structural-acoustic problems
Authors: B. van Hal, W. Desmet, D. Vandepitte
Venue: Computers and Structures (2005)

This paper describes a hybrid finite element-wave-based method for the analysis of the steady-state dynamic response of 2D interior structural-acoustic systems. The motivation for this hybrid approach is to benefit from the advantageous features of both methods, which are the geometrical flexibility of the finite element method and the computational efficiency of the wave-based method. The accuracy of the hybrid method is verified for two example problems. The results show an improved computational efficiency compared to the finite element method in the sense that the same accuracy is obtained with smaller hybrid models. These examples illustrate that the hybrid FE-WB method has the potential to cover the mid-frequency range, where it is still difficult to obtain satisfactory results with reasonable computational costs.
The effect of imperfect carrier frequency offset estimation on an OFDMA uplink
Authors: Zhongshan Zhang, Chintha Tellambura
Venue: IEEE Transactions on Communications (2009)

In the uplink of Orthogonal Frequency-Division Multiple Access (OFDMA) systems, the user carrier frequency offsets result in inter-carrier-interference (ICI) and multiple-user-interference (MUI), leading to a degradation of the bit error rate (BER). This paper treats this uplink scenario and derives the average uplink capacity and the BER using the signal-to-interference-and-noise ratio (SINR) analysis. Adaptive power allocation is suggested to increase the capacity. When the frequency offsets are modeled as zero-mean Gaussian or Uniform random variables, the BER is derived as a closed-form infinite-series. The series requires at least 50 terms to ensure sufficient accuracy.
An Improved Algorithm for Generation of Attack Graph Based on Virtual Performance Node
Authors: Yihuan Zhao, Zulin Wang, Xudong Zhang, Jing Zheng
Venue: Proceedings of the 2009 International Conference on Multimedia Information Networking and Security - Volume 02 (2009)

A variety of graph-based algorithms have been proposed to generate attack graph automatically, few of which take network performance into consideration and satisfy the purpose of network vulnerability analysis. In this paper, Virtual Performance Node (VPN) is defined and an improved graph-based algorithm is proposed. The performance decrease due to attacker's incursion in the whole network is regarded as the attacker's expectation and VPNs are chosen as the net status. This method makes attack graph have an extra ability to measure the attack effect with network performance loss. The algorithm is compared with other methods in the analysis of an experimental network. The results show that the improved attack graph has the least status and acts well with human cognitive habits, which makes it more useful to analyze network vulnerability.
Performance of N-branch receive diversity combining in correlated lognormal channels
Authors: Dimitrios Skraparlis, Vasileios K. Sakarellos, Athanasios D. Panagopoulos, John D. Kanellopoulos
Venue: IEEE Communications Letters (2009)

Diversity reception techniques combine diversity branches to improve system performance. Fading gains of the diversity branches are correlated lognormal in indoor propagation as well as in systems deploying power control, handovers and dynamic channel allocation. In this letter, novel exact and compact expressions are proposed for the outage probability of N-branch Maximal Ratio Combining (MRC), Equal Gain Combining (EGC) and Selection Combining (SC) under correlated non-identically distributed lognormal channels. The proposed expressions consist of N-1 nested integrals with favorable numerical properties.
Mathematical modeling of steam-assisted gravity drainage
Authors: Serhat Akin
Venue: Computers Geosciences (2006)

A mathematical model for gravity drainage in heavy-oil reservoirs and tar sands during steam injection in linear geometry is proposed. The mathematical model is based on experimental observations that the steam zone shape is an inverted triangle with the vertex fixed at the bottom production well. Both temperature and asphaltene content dependence of viscosity of the drained heavy oil and their impact on heavy oil production are considered. The developed model has been validated using experimental data presented in the literature. It is seen that the oil production rate is affected as the asphaltene content of the crude oil changes as a function of temperature. The oil production rate conforms well to previously published data covering a wide range of heavy oils and sands for gravity drainage.
A rotation- and flip-invariant algorithm for representing spatial continuity information of geographic images in content-based image retrieval
Authors: Zhixiao Xie
Venue: Computers Geosciences (2004)

This research proposes a rotation- and flip-invariant algorithm for representing spatial continuity information in high-resolution geographic images for content based image retrieval (CBIR). Starting with variogram concept, the new visual property representation, in the form of a numeric index vector, consists of a set of semi-variances at selected lags and directions, based on three well-justified principles: (1) capture the basic shape of sample variogram, (2) represent the spatial continuity anisotropy, and (3) make the representation rotation- and flip-invariant. The algorithm goes through two tests. The first test confirms that it can indeed align the image representations based on spatial continuity information of objects within images by re-ordering the semi-variances accordingly. In the second test, the algorithm is applied to retrieve seven types of typical geographic entities from an Erie County orthophoto database. The retrieval results demonstrate the effectiveness of the new algorithm in CBIR, as assessed by retrieval precision.
Polar Radius-Haar Wavelet Descriptor for 2D Shape
Authors: Qiuyu Zhang, Moyi Zhang, Jianqiang Hu
Venue: Proceedings of the 2009 Second International Workshop on Computer Science and Engineering - Volume 02 (2009)

Considering the low classification rate of the traditional feature extraction methods in recognizing the similar samples, on multi-classification and on multi-samples conditions, a Polar radius-haar wavelet descriptor for 2D shape is proposed by using the multi-resolution analysis. Following the process of the object segmentation, the breadth-first search is used firstly to track the binary image contour for the contour chain code, and then the p -order of the normalized Polar radius signal is obtained. The multi-resolution’s character of shape description in detailed information and approximate information is used to obtain the invariants of the average energy and the average amplitudes. Then the eight invariants are proposed and the shifting, rotation and scaling invariance of it are proved theoretically. The experiments of the hand gesture show that the Polar radius-haar wavelet descriptor can classify the object shape rapidly and accurately, and more over, it has the better classification ability than the Hu invariant moment and Polar-radius invariant moment.
Medical image segmentation using genetic algorithms
Authors: Ujjwal Maulik
Venue: IEEE Transactions on Information Technology in Biomedicine (2009)

Genetic algorithms (GAs) have been found to be effective in the domain of medical image segmentation, since the problem can often be mapped to one of search in a complex and multimodal landscape. The challenges in medical image segmentation arise due to poor image contrast and artifacts that result in missing or diffuse organ/tissue boundaries. The resulting search space is therefore often noisy with a multitude of local optima. Not only does the genetic algorithmic framework prove to be effective in coming out of local optima, it also brings considerable flexibility into the segmentation procedure. In this paper, an attempt has been made to review the major applications of GAs to the domain of medical image segmentation.
Joint iterative channel estimation and soft-chip combining for a MIMO MC-CDMA anti-jam system
Authors: M. Galib Asadullah, Gordon L. Stüber
Venue: IEEE Transactions on Communications (2009)

Multicarrier code division multiple access (MC-CDMA) systems using complex-quadratic spreading sequences and cyclic delay diversity (CDD) facilitate frequency or time-domain chip combining to mitigate different types of jamming. In this paper, multiple-input multiple-output (MIMO) channel coefficients, jamming power, and jammer state information (JSI) are jointly estimated to suppress the adverse effects of partial-band noise jamming. We derive weighted least square error (LSE) and linear minimum mean square error (MMSE) channel estimators operating under jamming and investigate the constraints on the cyclic delays. The JSI for the pilot symbols is estimated to assist estimation of the time-varying frequency-selective channel coefficients by updating the noise covariance matrix. We also derive the optimum (sufficient statistics) chip-combining weights for the data symbols that require the JSI; hence, the JSI for the data symbols is iteratively estimated using the decoder output. Simulation results demonstrate that the proposed iterative despreading (includes JSI estimation and chip combining), demapping, and decoding receiver with soft-JSI-assisted channel estimation and chip combining is very robust against partial-band noise jamming.
Auction in multi-path multi-hop routing
Authors: Xueyuan Su, Sammy Chan, Gang Peng
Venue: IEEE Communications Letters (2009)

We model the multi-path multi-hop routing in networks with selfish nodes as an auction and provide a novel solution from the game-theoretical perspective. We design a mechanism that results in Nash equilibria rather than the traditional strategyproofness, which alleviates the overpayment problem of the widely used VCG mechanism. Through theoretical analysis, the proposed protocol is shown to be effective.
Sentient bikes for collecting mobility traces in opportunistic networks
Authors: Marcelo Pias, Kuang Xu, Pan Hui, Jon Crowcroft, Guang-Hua Yang, Victor O. K. Li, Salman Taherian
Venue: Proceedings of the 1st ACM International Workshop on Hot Topics of Planet-Scale Mobility Measurements (2009)

We study the problem of building low-cost city-wide location tracking systems with the intention to provide a platform for large-scale human mobility data collection. We take the city-bikes as our first target, motivated by several social networking applications, and choose Cambridge in the UK as our pilot case. We highlight the main application requirements, discuss the practical design issues, and propose a system architecture based on a hybrid sensor network.