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1022. An identity involving Dedekind sums and generalized Kloosterman sums
- Creator:
- Huan, Le, Wang, Jingzhe, and Wang, Tingting
- Format:
- bez média and svazek
- Type:
- model:article and TEXT
- Subject:
- Dedekind sum, Kloosterman sum, Dirichlet character, analytic method, Gauss sum, and identity
- Language:
- English
- Description:
- The various properties of classical Dedekind sums $S(h, q)$ have been investigated by many authors. For example, Yanni Liu and Wenpeng Zhang: A hybrid mean value related to the Dedekind sums and Kloosterman sums, Acta Mathematica Sinica, 27 (2011), 435–440 studied the hybrid mean value properties involving Dedekind sums and generalized Kloosterman sums $K(m, n, r; q)$. The main purpose of this paper, is using the analytic methods and the properties of character sums, to study the computational problem of one kind of hybrid mean value involving Dedekind sums and generalized Kloosterman sums, and give an interesting identity.
- Rights:
- http://creativecommons.org/publicdomain/mark/1.0/ and policy:public
1023. An identity with generalized derivations on Lie ideals, right ideals and Banach algebras
- Creator:
- de Filippis, Vincenzo, Scudo, Giovanni, and Tammam El-Sayiad, Mohammad S.
- Format:
- bez média and svazek
- Type:
- model:article and TEXT
- Subject:
- prime rings, differential identities, generalized derivations, and Banach algebra
- Language:
- English
- Description:
- Let $R$ be a prime ring of characteristic different from $2$, $U$ the Utumi quotient ring of $R$, $C=Z(U)$ the extended centroid of $R$, $L$ a non-central Lie ideal of $R$, $F$ a non-zero generalized derivation of $R$. Suppose that $[F(u),u]F(u)=0$ for all $u\in L$, then one of the following holds: (1) there exists $\alpha \in C$ such that $F(x)=\alpha x$ for all $x\in R$; (2) $R$ satisfies the standard identity $s_4$ and there exist $a\in U$ and $\alpha \in C$ such that $F(x)=ax+xa+\alpha x$ for all $x\in R$. We also extend the result to the one-sided case. Finally, as an application we obtain some range inclusion results of continuous or spectrally bounded generalized derivations on Banach algebras.
- Rights:
- http://creativecommons.org/publicdomain/mark/1.0/ and policy:public
1024. An improved E-model using artificial neural network VoIP quality predictor
- Creator:
- AL-Akhras, Mousa, ALMomani, Iman, and Sleit, Azzam
- Format:
- bez média and svazek
- Type:
- model:article and TEXT
- Subject:
- Voice over IP, artificial neural network, speech quality, E-model, non-intrusive, voiced, unvoiced, perceptual evaluation of speech quality, packet loss, and subjective-free
- Language:
- English
- Description:
- Voice over Internet Protocol (VoIP) networks are an increasingly important field in the world of telecommunication due to many involved advantages and potential revenue. Measuring speech quality in VoIP networks is an important aspect of such networks for legal, commercial and technical reasons. The E-model is a widely used objective approach for measuring the quality as it is applicable to monitoring live-traffic, automatically and non-intrusively. The E-model suffers from several drawbacks. Firstly, it considers the effect of packet loss on the speech quality collectively without looking at the content of the speech signal to check whether the loss occurred in voiced or unvoiced parts of the signal. Secondly, it depends on subjective tests to calibrate its parameters, which makes it applicable to limited conditions corresponding to specific subjective experiments. In this paper, a solution is proposed to overcome these two problems. The proposed solution improves the accuracy of the E-model by differentiating between packet loss during speech and silence periods. It also avoids the need for subjective tests, which makes it extendable to new network conditions. The proposed solution is based on an Artificial Neural Networks (ANN) approach and is compared with the accurate Perceptual Evaluation of Speech Quality (PESQ) model and the original E-model to confirm its accuracy. Several experiments are conducted to test the effectiveness of the proposed solution on two well-known ITU-T speech codecs; namely, G.723.1 and G.729.
- Rights:
- http://creativecommons.org/publicdomain/mark/1.0/ and policy:public
1025. An improved odor recognition system using learning vector quantization with a new discriminant analysis
- Creator:
- Temel, Turgay and Karlik, Bekir
- Format:
- bez média and svazek
- Type:
- model:article and TEXT
- Subject:
- Olfactory system, classification, odor recognition, pre-processing, and learning vector quantization
- Language:
- English
- Description:
- A new pre-processing algorithm for improved discrimination of odor samples is proposed. The pre-processed odor sample outputs from two sensors are input using a learning-vector quantization (LVQ) classifier as a means of odor recognition to be employed within electronic nose applications. The proposed algorithm brings out highly scattered classes while minimizing the within-class scatter of the samples given an odor class. LVQ is observed to operate robustly and reliably in terms of variation of parameters of interest, mainly a learning parameter. Due to the increased performance along with computational simplicity and robustness, the scheme is suitable to sample-by-sample identification of olfactory sensory data and can be easily adapted to hierarchical processing with other sensory data in real-time.
- Rights:
- http://creativecommons.org/publicdomain/mark/1.0/ and policy:public
1026. An improved tropospheric tomography method based on the dynamic node parameterized algorithm
- Creator:
- Zhang, Wenyuan, Zhang, Shubi, Ding, Nan, and Ma, Pengxu
- Format:
- print, bez média, and svazek
- Type:
- model:article and TEXT
- Subject:
- geodynamika, geodynamics, GNSS meteorology, water vapor tomography, adaptive node parameterized, spline interpolation, radiosonde, 7, and 551
- Language:
- English
- Description:
- In the general tropospheric tomography model, the tomographic area is divided into a large number of voxels, which provides convenience for reconstructing tomographic observation equations. However, due to the defect of GNSS acquisition geometry, there are plenty of empty voxels for any tomographic epoch. Moreover, an unreasonable assumption that water vapor density is constant within a voxel was imposed on the tomographic model. In this study, we proposed an improved method based on the dynamic node parameterized algorithm to solve both key problems. The proposed approach first tries to select effective GNSS signals and determines the dynamic scope of the tomographic area using the dynamic algorithm. The parameterization of the tomography model is performed by a cubic spline formula and Gauss weighted function. Additionally, a piecewise linear fitting method based on Newton-Cotes interpolation is introduced to estimate the tomographic observation of slant water vapor (SWV). The experimental results show that the average number of effective signals increased by 32.33 % and the mean RMSE of the tomographic results is decreased by 45 % with the proposed method. Further, compared with the tomographic results of the general method, the improved solutions have a more centralized distribution and a smaller bias., Wenyuan Zhang, Shubi Zhang, Nan Ding and Pengxu Ma., and Obsahuje bibliografii
- Rights:
- http://creativecommons.org/publicdomain/mark/1.0/ and policy:public
1027. An improvement of an inequality of Fiedler leading to a new conjecture on nonnegative matrices
- Creator:
- Goldberger, Assaf and Neumann, Michael
- Format:
- bez média and svazek
- Type:
- model:article and TEXT
- Subject:
- nonnegative matrices, M-matrices, and determinants
- Language:
- English
- Description:
- Suppose that $A$ is an $n\times n$ nonnegative matrix whose eigenvalues are $\lambda = \rho (A), \lambda _2,\ldots , \lambda _n$. Fiedler and others have shown that $\det (\lambda I - A) \le \lambda ^n - \rho ^n$, for all $\lambda > \rho $, with equality for any such $\lambda $ if and only if $A$ is the simple cycle matrix. Let $a_i$ be the signed sum of the determinants of the principal submatrices of $A$ of order $i\times i$, $i = 1,\ldots ,n - 1$. We use similar techniques to Fiedler to show that Fiedler’s inequality can be strengthened to: $\det (\lambda I - A) + \sum _{i = 1}^{n - 1} \rho ^{n - 2i}|a_i|(\lambda - \rho )^i \le \lambda ^n -\rho ^n$, for all $\lambda \ge \rho $. We use this inequality to derive the inequality that: $\prod _{2}^{n}(\rho - \lambda _i) \le \rho ^{n - 2}\sum _{i = 2}^{n}(\rho - \lambda _i)$. In the spirit of a celebrated conjecture due to Boyle-Handelman, this inequality inspires us to conjecture the following inequality on the nonzero eigenvalues of $A$: If $\lambda _1 = \rho (A),\lambda _2,\ldots , \lambda _k$ are (all) the nonzero eigenvalues of $A$, then $\prod _{2}^{k}(\rho - \lambda _i) \le \rho ^{k-2}\sum _{i = 2}^{k}(\rho -\lambda )$. We prove this conjecture for the case when the spectrum of $A$ is real.
- Rights:
- http://creativecommons.org/publicdomain/mark/1.0/ and policy:public
1028. An improvement of non-linear neuro-fuzzy model properties
- Creator:
- Čermák, Petr and Pokorný, Miroslav
- Format:
- bez média and svazek
- Type:
- model:article and TEXT
- Subject:
- fuzzy rules, fuzzy Takagi-Sugeno model, and fuzzy rnodelling
- Language:
- English
- Description:
- In this paper we proposed a fuzzy neural network model which can einbody a fuzzy Takagi-Sugeno model and carry out fuzzy inference and support structure of fuzzy rules. The algorithm of model properties improvement consists of several new procedures námely input space partition, fuzzy terms number and rule number extending, low-effective fuzzy terms and rules extraction and consequent structure Identification. A fuzzy neural network is constructed based on fuzzy model. By learning of the neural network we can tuně of embedded initial fuzzy model. To show the applicability of new method and to niake a possibility to reál systerns rnodelling, we designed the fuzzy-neural network prograrnrne tool FUZNET. Next, we perforrned numerical experiment to do fuzzy rnodelling for an artifical tirne series and reál non-linear complex systém.
- Rights:
- http://creativecommons.org/publicdomain/mark/1.0/ and policy:public
1029. An indirect way to determine the geocentric coordinates of the Hvar Doppler station in PE-system starting from two new MPBE-solutions for the project IDOC-82
- Creator:
- Čolič, K., Lohmar, F. J., and Solarić, M.
- Format:
- bez média and svazek
- Type:
- model:article and TEXT
- Subject:
- scientific research and project IDOC-82
- Language:
- Czech
- Description:
- We tried to determine as accurately as possible the geocentric coordinates of the Hvar Doppler station in the coordinate system of broadcast and in one of precise ephemerides, on the basis of Doppler observations from the project IDOC-82 and of broadcast ephemerides alone. With this aim in view it was necessary in the first place to calculate for the project IDOC-82 two new variations of multipoint solutions by means of broadcast ephemerides (MPBE), taking into account 11 stations, i.e. 10 suitable stations. Coordinates X, Y, Z for the Hvar station contained in this way were thereupon converted from BE-system by means of three-dimensional Helmert transformation and by using available identical stations from previous projects EDOC-2, ERIDOC and ALGEDOP-82 for all of which multipoint solutions with precise ephemerides (MPPE) are dsposable.
- Rights:
- http://creativecommons.org/publicdomain/mark/1.0/ and policy:public
1030. An instrumental variable method for robot identification based on time variable parameter estimation
- Creator:
- Brunot, Mathieu, Janot, Alexandre, Young, Peter C., and Carrillo, Francisco
- Format:
- bez média and svazek
- Type:
- model:article and TEXT
- Subject:
- industrial robot system, system identification, instrumental variable method, parameter estimation, Kalman filter, and fixed interval smoothing
- Language:
- English
- Description:
- This paper considers the data-based identification of industrial robots using an instrumental variable method that uses off-line estimation of the joint velocities and acceleration signals based only on the measurement of the joint positions. The usual approach to this problem relies on a `tailor-made' prefiltering procedure for estimating the derivatives that depends on good prior knowledge of the system's bandwidth. The paper describes an alternative Integrated Random Walk SMoothing (IRWSM) method that is more robust to deficiencies in such a priori knowledge and exploits an optimal recursive algorithm based on a simple integrated random walk model and a Kalman filter with associated fixed interval smoothing. The resultant IDIM-IV instrumental variable method, using this approach to signal generation, is evaluated by its application to an industrial robot arm and comparison with previously proposed methods.
- Rights:
- http://creativecommons.org/publicdomain/mark/1.0/ and policy:public