ppxscal/embedding_network huggingface dataset:
Convergence acceleration operator for multiobjective optimization
Authors: Salem F. Adra, Tony J. Dodd, Ian A. Griffin, Peter J. Fleming
Venue: IEEE Transactions on Evolutionary Computation (2009)

A convergence acceleration operator (CAO) is described which enhances the search capability and the speed of convergence of the host multiobjective optimization algorithm. The operator acts directly in the objective space to suggest improvements to solutions obtained by a multiobjective evolutionary algorithm (MOEA). The suggested improved objective vectors are then mapped into the decision variable space and tested. This method improves upon prior work in a number of important respects, such as mapping technique and solution improvement. Further, the paper discusses implications for many-objective problems and studies the impact of the use of the CAO as the number of objectives increases. The CAO is incorporated with two leading MOEAs, the non-dominated sorting genetic algorithm and the strength Pareto evolutionary algorithm and tested. Results show that the hybridized algorithms consistently improve the speed of convergence of the original algorithm while maintaining the desired distribution of solutions. It is shown that the operator is a transferable component that can be hybridized with any MOEA.
Diesel Engine Fault Information Acquisition Based on Delay Vector Variance Method
Authors: Hongying Hu, Fuliang Yin
Venue: Proceedings of the 2009 Second International Symposium on Knowledge Acquisition and Modeling - Volume 01 (2009)

In this paper, Delay Vector Variance (DVV) method based on surrogate data is introduced as an efficacious and intuitionistic tool for acquiring the information of determinism and nonlinearity in diesel vibration signals in different conditions. It provides consistent and easy-to interpret diagrams - DVV plot and DVV scatter diagrams, which convey information about the nature of the signals. The experiment shows that vibration signals from diesel engine have strong nonlinearity, and nonlinearity gets stronger as fault becomes worse. Furthermore, the Root Mean Square (RMS) deviation of the DVV scatter diagram from the bisector line is used as a quantitative analysis of the fault state. Therefore this method can be opted to detect faults in diesel engine as well as other equipment faults.
Composite E-services Behavioral Requirements Based on Activity Chain and Their Dynamic Operation Semantics
Authors: Bo Chen, Chungui Li, Qixian Cai
Venue: Proceedings of the 2009 International Conference on Multimedia Information Networking and Security - Volume 01 (2009)

E-service composition is most impressing method for development and deployment of e-business. Description and modeling the behavior requirements of composite e-services for users is an important key in design of services. But most work does not address the issue of how to model the requirements that the BPEL4WS processes are supposed to satisfy. The specifications in verification works are general temporal relation based on actions or messages in essence. Distinguish with these work, we propose novel concepts of behavior specifications based on activity chain and activity sequence in which granularity is between activity and scenario. Four behavior modes such as chain existence mode, chain absence mode, chain precondition mode and chain response mode are designed to express usual behavioral requirements based on activity chain. Encode them on Labeled Transition System LTS and then give them exact operation semantics. The result facilitates users to check whether composite E-services are compliant with the behavioral chain modes
Shortening for irregular QC-LDPC codes
Authors: Xiaojian Liu, Xiaofu Wu, Chunming Zhao
Venue: IEEE Communications Letters (2009)

Shortening is a technique to obtain codes of shorter length and lower rate from a given LDPC code by putting infinite reliability on some variable nodes, whose positions are assumed to be available to both encoder and decoder. In this paper, we propose a shortening algorithm suitable for irregular QC-LDPC codes. The efficiency of the proposed algorithm is verified by both theoretical analysis and simulation.
Analysis of the vesicular structure of basalts
Authors: H. Shin, W. B. Lindquist, D. L. Sahagian, S. -R. Song
Venue: Computers Geosciences (2005)

We present a high resolution study of the void space geometry of vesiculated basaltic bombs (porosities in the range 60-80%) from three dimensional digitized images obtained by synchrotron X-ray tomography. The void space is composed of vesicles, the solidified remnants of expanding gas bubbles. Coalescence between bubbles complicates the identification of individual vesicles. Under the assumption that coalescence between two bubbles results in a well defined waist configuration (or throat) between the two resulting vesicles, we present an algorithm to locate the waist-spanning ''contact surface'' which conceptually separates each pair of coalesced vesicles. With contact surfaces identified, individual vesicles are isolated and analysis of their geometry and connectivity can be investigated. We present results for the distributions of vesicle volume, contact surface area and vesicle coordination number (the number of neighbors with which a vesicle has coalesced). We find that distribution for contact surface area is log-normal; the distribution for coordination number is a power-law; and the distribution of vesicle volumes is at least bi-modal.
Compensation for the Network Control Systems with a Multi-step State Estimate Strategy
Authors: Tao Liang, Beibei Zhang, Hexu Sun, Zhaoming Lei
Venue: Proceedings of the 2009 Second International Conference on Intelligent Networks and Intelligent Systems (2009)

Network control system also called NCS is a distributed feedback control system which composed by real-time network. It has the advantages of resource sharing and agility as a low-cost and easy-maintained system. But at the same time, network will also have the problem of time delay which makes difficulties of NCS analysis. The existence of network delay will reduce the performance of network control system, as well as it is inevitable. Therefore it is imperative to its compensation. A Multi-step State Estimate Strategy is recommended in this paper, for compensation network between not only sensor and controller, but also controller and actuator. Buffer delay compensation at actuator receiving terminal is added to improve the performance of NCS. We also analyze system stability in discrete case of a given network system model.
A simple framework of utility max-min flow control using sliding mode approach
Authors: Jiong Jin, Wei-Hua Wang, Marimuthu Palaniswami
Venue: IEEE Communications Letters (2009)

Motivated by the limitations of current optimal flow control approach, we develop a new utility max-min flow control framework using classic sliding mode control. It consists of a source algorithm and a binary congestion feedback mechanism, in which only the sources with the highest utility at each congested link are required to reduce their transmission rates. It can be directly applied to a multi-service network with heterogeneous applications that have different QoS characteristics. The proposed framework achieves the utility max-min fairness among applications efficiently in the sense of low overhead and rapid convergence. Rigorously, the system is proven to be asymptotically stable by means of Lyapunov's theorem.
Ordinal optimization approach for mixed variable nonlinear optimization problems of large network systems
Authors: Shin-Yeu Lin, Ch'i-Hsin Lin
Venue: Proceedings of the IASTED Asian Conference on Modelling and Simulation (2007)

Mixed integer-discrete-continuous variable nonlinear optimization problem of large network systems is a hard optimization problem due to involving integer and discrete variables and its large dimension. In this paper, we propose an approach of multiple ordinal optimization to solve this hard optimization problem for a good enough solution. Each ordinal optimization iteration is designed to choose better solutions from a candidate solution set using limited computation time based on a surrogate model of the considered problem. Our approach consists of five ordinal optimization iterations. The surrogate model of the considered problem is elaborated iteration by iteration, and the size and solution quality of the selected solution set is reduced and improved iteration by iteration. The solution obtained in the last iteration, which employs the exact model, is the good enough solution we obtain for the considered problem. To demonstrate the computational efficiency of the proposed approach and the quality of the obtained good enough solution, we have applied our method to the capacitor placement problem of large electric power systems and compare the results with those obtained by Genetic Algorithm (GA) and Tabu Search (TS) method. The comparisons show that the proposed approach outperforms GA and TS method in the aspects of both computational efficiency and solution quality.
Downlink wireless channel estimation for linear MIMO transmission recoding
Authors: Xiaofei Dong, Zhi Ding
Venue: IEEE Transactions on Communications (2009)

Transmission precoding in MIMO wireless systems is an effective technique that can significantly improve system capacity and diversity gain. In general, the effectiveness of MIMO precoding depends critically on the knowledge of channel state information available at the transmitter. In this work we describe a novel method for the downlink channel estimation based on a novel feedback mechanism. To minimize processing need at mobile units, the receiver in this new framework returns a fraction of its received data back for the base-station to extract downlink channel information in the form of a quadratic channel product. The base-station can then utilize the quadratic channe l product to design channel-aware downlink precoders. This bandwidth efficient feedback scheme applies to both flat fading and frequency selective MIMO channels.
Fingerprinting compressed multimedia signals
Authors: Avinash L. Varna, Shan He, Ashwin Swaminathan, Min Wu
Venue: IEEE Transactions on Information Forensics and Security (2009)

Digital fingerprinting is a technique to deter unauthorized redistribution of multimedia content by embedding a unique identifying signal in each legally distributed copy. The embedded fingerprint can later be extracted and used to trace the originator of an unauthorized copy. A group of users may collude and attempt to create a version of the content that cannot be traced back to any of them. As multimedia data is commonly stored in compressed form, this paper addresses the problem of fingerprinting compressed signals. Analysis is carried out to show that due to the quantized nature of the host signal and the embedded fingerprint, directly extending traditional fingerprinting techniques for uncompressed signals to the compressed case leads to low collusion resistance. To overcome this problem and improve the collusion resistance, a new technique for fingerprinting compressed signals called Anti-Collusion Dither (ACD) is proposed, whereby a random dither signal is added to the compressed host before embedding so as to make the effective host signal appear more continuous. The proposed technique is shown to reduce the accuracy with which attackers can estimate the host signal, and from an information theoretic perspective, the proposed ACD technique increases the maximum number of users that can be supported by the fingerprinting system under a given attack. Both analytical and experimental studies confirm that the proposed technique increases the probability of identifying a guilty user and can approximately quadruple the collusion resistance compared to conventional Gaussian fingerprinting.
Study on Fast Fixed-Codebook Search Algorithm in G.729 Speech Coding
Authors: Li Li, Gang Chen
Venue: Proceedings of the 2009 Second International Workshop on Computer Science and Engineering - Volume 01 (2009)

G.729 is called Conjugate Structured-Algebraic Code Excited Linear Prediction (CS-ACELP), its fixed-codebook adopts algebraic- codebook. The algebraic structure of the codebook allows for a fast search procedure, but it still requires large computational load using the nested-loop search method. The focused search used in G.729 and the depth-first tree search used in G.729a can reduce the searching complexity efficiently. However it still occupies a larger proportion of whole encoding complexity. In this paper, we study various methods and propose a fast Codebook Search method, it can largely reduce the complexity, and speech still maintain at almost the same quality.
Improving tide-gauge data processing: A method involving tidal frequencies and inverted barometer effect
Authors: E. Gil, C. de Toro
Venue: Computers Geosciences (2005)

Sea level measured at tide-gauge stations is affected by undesired events such as spikes, gaps, steps and time shifts. The presence of these instrumental failures seriously decreases the quality of each analysis done using the record. Furthermore, they can mask or disturb oceanographic phenomena of small amplitude. Identifying and filling gaps in the records have as consequence longer data sets, allowing the study and discrimination of long-term components. In this work, a method included in a reduction software package is presented. It is based on the oceanographic characteristics of the time series, mainly ocean tide and inverted barometer response. Raw data are interpolated using polynomial least-squares approximation, considering variable parameters, i.e. degree and number of used data, estimating the optimal ones by contrast tests. At the same time, estimation of errors and maximal length of the gaps to be interpolated are obtained. The determination of these parameters is done using Least-Squares Techniques. Since the vertical displacement of the oceanic surface due to atmospheric pressure variations is of considerable magnitude, the study is extended to the elimination of this effect prior to the interpolation. The preceding results, i.e. the adjusted parameters, are used to build up an error detection procedure based on classical polynomial interpolation, which has been programmed in Fortran 90. The correction is done at the residuals' level, meaning that estimated minus observed values. The user has full control over the iterative adjustment process. Finally, the obtained results are compared with the results provided by other pre-processing methods.
A robust metric for soft-output detection in the presence of class-a noise
Authors: Dario Fertonani, Giulio Colavolpe
Venue: IEEE Transactions on Communications (2009)

Digital communications over channels impaired by impulse noise are considered. We first address the problem from an information-theoretical viewpoint, discussing the performance limits imposed by the channel model. Then, we describe and compare a couple of practical communication schemes employing powerful channel codes and iterative decoding, with focus on a very simple and robust detection scheme that does not require the estimation of the statistics of the impulse noise.
Addition of simultaneous heat and solute transport and variable fluid viscosity to SEAWAT
Authors: Danny Thorne, Christian D. Langevin, Michael C. Sukop
Venue: Computers Geosciences (2006)

SEAWAT is a finite-difference computer code designed to simulate coupled variable-density ground water flow and solute transport. This paper describes a new version of SEAWAT that adds the ability to simultaneously model energy and solute transport. This is necessary for simulating the transport of heat and salinity in coastal aquifers for example. This work extends the equation of state for fluid density to vary as a function of temperature and/or solute concentration. The program has also been modified to represent the effects of variable fluid viscosity as a function of temperature and/or concentration. The viscosity mechanism is verified against an analytical solution, and a test of temperature-dependent viscosity is provided. Finally, the classic Henry-Hilleke problem is solved with the new code.
Seamless spectrum handover considering differential path-loss in cognitive radio systems
Authors: Ohyun Jo, Dong-Ho Cho
Venue: IEEE Communications Letters (2009)

In cognitive radio systems, spectrum handover occurs when a secondary user changes frequency due to the appearance of a primary user. Spectrum handover may result in degraded system performance because of the different propagation loss of the different frequency. In this case, data transmission is disrupted and it is more difficult to provide seamless service. Here, we propose a seamless handover scheme based on the prediction of cell coverage. The proposed handover scheme can avoid service disruption and can reduce redundant handovers. The efficiency of the scheme is validated by simulation results.
Applying knowledge reasoning path to problem design for chemistry instruction
Authors: Gaihui Dong, Kaicheng Yang
Venue: Proceedings of the 10th IASTED International Conference on Computers and Advanced Technology in Education (2007)

Instructional design should be a technical process. This paper focuses on problem design which is the most important operation in instructional design, puts forward a technology based on knowledge reasoning path and shows its technical process with examples on chemistry instruction of middle school.
The Application of Reasoning Techniques in Ontology Design
Authors: Ailing Zhao, Suihua Wang
Venue: Proceedings of the 2009 International Conference on Multimedia Information Networking and Security - Volume 02 (2009)

Description logic reasoners can detect logical contradictions in the ontologies specified in a certain web ontology language, such as OWL. This paper discusses some reasoning problems involved in the process of ontology design and describes them in description logic. Due to the close relationship between the expressive ontology languages and description logic, description logic reasoners can find out some important implicit information in ontologies, such as classification relations and logical contradictions, etc. which can assist ontology engineers to design consistent and well-structured ontologies.
An Approach for Lane Segmentation in Traffic Monitoring Systems
Authors: Juncheng Liu, Miaoxin Wang
Venue: Proceedings of the 2009 International Conference on Multimedia Information Networking and Security - Volume 01 (2009)

This paper describes an approach for lane segmentation in traffic monitoring systems based on road region and lane line information. Firstly, we use Gaussian background modeling algorithm to extract the motion regions and background image, then lane region can be acquired by region growing algorithm based on motion regions. The straight-lines about lane lines can be acquired by using Hough transform on the edge image of background. Finally we divide a road area into several lane regions by fusing the trajectories information of vehicles acquired by KLT method. The experiments in deferent scenes show the efficiency and robustness of the proposed approach.
Bivariate gamma distribution from complex inverse wishart matrix
Authors: Rongtao Xu, Zhangdui Zhong, Jiann-Mou Chen, Bo Ai
Venue: IEEE Communications Letters (2009)

In this letter, a new form of bivariate gamma distribution is proposed from the complex inverse Wishart matrix. We have derived the closed-form expressions for the probability density function and the joint central moments of this bivariate gamma distribution. Finally, the analytical results are used to obtain the outage probability for a multiple-input multiple-output wireless communication systems with two transmit antennas.
Knowledge engineering and visualization for distance education in programming
Authors: Wladimir Bodrow, Irina Bodrow
Venue: Proceedings of the 10th IASTED International Conference on Computers and Advanced Technology in Education (2007)

This paper is devoted to the expert knowledge gained while teaching programming. Detailed specification of this expert knowledge and the skills necessary to improve the programming capabilities of students is presented. Several aspects of knowledge representation in order to enhance the learning process are considered as well. The research yielded some insightful results on the evolvement of student capabilities in problem solving which includes the aspect of understanding, its different transformations, and the implementation of a corresponding software program. The investigation is oriented on the possibilities given in distance education and founded on the experience gathered in several international projects. CASE and related tools are not within the area of consideration in this research, it concentrates merely on classical programming i.e. the production of code/software.
RVR Meander: A toolbox for re-meandering of channelized streams
Authors: Jorge D. Abad, Marcelo H. Garcia
Venue: Computers Geosciences (2006)

RVR Meander was developed as a toolbox for modeling restoration and naturalization processes in rivers. This model includes Windows-based and Geographical Information System-based programs for analyzing and modeling planform migration of streams. In the past, several rivers have been channelized causing environmental and ecological problems. Restoration techniques evolve as natural solutions to channelization, therefore, the prediction of planform migration in rivers is indispensable for economic and social reasons such as development of urban areas close to rivers, prevention of damages to infrastructure, reduction of agricultural land losses, and for the maintenance of biological diversity in rivers. Abad and Garcia [2004, Conceptual and mathematical model for evolution of meandering rivers in naturalization processes. On CD-ROM of Proceedings of Joint Conference on Water Resources Engineering and Water Resources Planning and Management, ASCE, June 27-July 1, Salt Lake City, Utah, 10pp.] presented a conceptual and mathematical model for evolution of meandering rivers that can be used in restoration and naturalization processes. In this work, the description of RVR Meander is based on the computational characteristics and applicability rather than presenting its theoretical basis. RVR Meander is an object oriented user-friendly model for restoration purposes. Two modules are included: statistical analysis and planform migration of rivers. This model has been successfully tested on Microsoft Windows NT 4.0/2000/XP and on ArcMap 8.1/8.2/8.3.
Linear predictive coding representation of correlated mutation for protein sequence alignment
Authors: Chan-seok Jeong, Dongsup Kim
Venue: Proceeding of the third international workshop on Data and text mining in bioinformatics (2009)

Although both conservation and correlated mutation (CM) are important information reflecting the different sorts of context in multiple sequence alignment, most of alignment methods use sequence profiles that only represent conservation. There is no general way to represent correlated mutation and incorporate it with sequence alignment yet. We develop a novel method, CM profile, to represent correlated mutation as the spectral feature derived by using linear predictive coding where correlated mutations among different positions are represented by a fixed number of values. We combine CM profile with conventional sequence profile to improve alignment quality. For distantly related protein pairs, using CM profile improves the profile-profile alignment with or without predicted secondary structure. Especially, at superfamily level, combining CM profile with sequence profile improves profile-profile alignment by 9.5% while predicted secondary structure does by 6.0%. More significantly, using both of them improves profile-profile alignment by 13.9%. We also exemplify the effectiveness of CM profile by demonstrating that the resulting alignment preserves share coevolution and contacts. Because of the generality of CM profile, it can be used for other bioinformatics applications in the same way of using sequence profile.