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  • Statistics In Transition

 

Article | 01-December-2016

CREDIBILITY EVALUATION FOR BLIND PROCESSING RESULTS OF BPSK SIGNALS BY USING PHASE SPECTRAL ENTROPY

A credibility test method based on the features of frequency domain entropy of a phase is proposed to evaluate the blind processing results of a BPSK signal. Initially, a reference signal was constructed depending on the certain identified modulation results. By analyzing the differences of the phase of the correlation series between the observed signal and the reference signal, a reliability test problem for the BPSK signal is performed by calculating the phase spectrum entropy and comparing

Wang Shuwang, Hu Guobing

International Journal on Smart Sensing and Intelligent Systems, Volume 9 , ISSUE 4, 1900–1917

Research paper | 27-December-2017

PERCEPTUAL HASHING ALGORITHM FOR SPEECH CONTENT IDENTIFICATION BASED ON SPECTRUM ENTROPY IN COMPRESSED DOMAIN

This paper proposes a new perceptual hashing algorithm for speech content identification with compressed domain based on MDCT (Modified Discrete Cosine Transform) Spectrum Entropy. It aims primarily to solve problems of large computational complexity and poor real-time performance that appear when applying traditional identification methods to the compressed speeches. The process begins by extracting the MDCT coefficients, which are the intermediately decoded results of compressed speeches in

Zhang Qiu-yu, Liu Yang-wei, Huang Yi-bo, Xing Peng-fei, Yang Zhong-ping

International Journal on Smart Sensing and Intelligent Systems, Volume 7 , ISSUE 1, 283–300

Article | 20-December-2020

Predicting Polish transport industry equilibrium characteristics as an inverse problem: An Entropy Econometrics Model

The business environment dynamics is governed by a high degree of uncertainty and risk; consequently, in a majority of cases investors face serious difficulties when making business decisions. Additionally, when detailed statistical information relating to industry is missing, any decisions may become a matter of highly risky conjectures. The present article proposes a simultaneous equation model based on the entropy econometrics estimator for recovering some key industrial subsector long-term

Second Bwanakare, Marek Cierpiał-Wolan

Statistics in Transition New Series, Volume 21 , ISSUE 5, 179–191

Article | 08-April-2018

Research on the Evaluation Method of Cognitive Electronic Equipment Information Acquisition Ability

Cognitive testability is an inherent attribute of the modern electronic equipment. The information acquisition ability of cognitive testability was described in details and an evaluation model was built upon the basic construction of the index system of the cognitive testability. First of all, the idea and contents of the information acquisition ability of the modern electronic equipment was stated. Second, based on this, a mathematical model of weight calculation with the use of entropy weight

Liu Xinhai, Ma Yanheng, Zong Zijian

International Journal of Advanced Network, Monitoring and Controls, Volume 1 , ISSUE 2, 82–88

Research Article | 01-June-2020

Statistical properties and different methods of estimation for extended weighted inverted Rayleigh distribution

The aim of this paper is to introduce a new weighted probability distribution to model the non-monotone failure rate pattern for survival data. The proposed distribution is generalized by considering inverted Rayleigh distribution as a baseline distribution called an extended weighted inverted Rayleigh distribution. Different statistical properties such as moment, quantile function, moment generating function, entropy measurement, Bonferroni and Lorenz curve, stochastic ordering and order

Abhimanyu Singh Yadav, S. K. Singh, Umesh Singh

Statistics in Transition New Series, Volume 21 , ISSUE 2, 119–141

Article | 30-November-2018

Hazard Grading Model of Terrorist Attack Based on Machine Learning

management of social security, but also avoid unnecessary waste of manpower and property. Combined with big data processing technology, this paper establishes a hierarchical model based on PCA algorithm, K-meas clustering algorithm and entropy method. First, 14 evaluation indicators related to the hazard of the event were selected to preprocess the existing data. Secondly, the PCA method was used to reduce the index from 14 dimensions to 4 dimensions, and the reduced dimension vector was obtained by the

Jun Yu, Tong Xian, Zhiyi Hu, Yutong Liu

International Journal of Advanced Network, Monitoring and Controls, Volume 4 , ISSUE 2, 81–85

Article | 20-September-2020

Power Size Biased Two-Parameter Akash Distribution

parameters, and finally order statistics. Moreover, plots of the density and distribution functions of PSBTPAD are presented and a reliability analysis is considered. The Rényi entropy of PSBTPAD is proved and the application of real data is discussed. Mathematics Subject Classification: 62E10, 62F15.

Khaldoon Alhyasat, Ibrahim Kamarulzaman, Amer Ibrahim Al-Omari, Mohd Aftar Abu Bakar

Statistics in Transition New Series, Volume 21 , ISSUE 3, 73–91

Article | 01-March-2015

APTIVE IMAGE SEGMENTATION BASED ON SALIENCY DETECTION

corresponding image entropy is calculated. Predict the expected entropy according to maximum entropy criteria and select the optimal segmentation according to the entropies of pre-segmented images and the expected entropy. A large number of experiments have proved the effectiveness and advantages of this algorithm..

Shui Linlin

International Journal on Smart Sensing and Intelligent Systems, Volume 8 , ISSUE 1, 408–428

Article | 01-June-2016

MEASURING LUNG ABNORMALITIES IN IMAGES-BASED CT

abnormal areas appear as bulges of the trophic vessels and they are similar to circular structures with level of lighter gray near to white. Circular Hough transform (CHT) identifies regions with a circular shape. However, a metrics is defined in order to understand if the pointed out area has a pathological morphology. CHT is used here for helping to detect possible events of indolent tumors or undetermined significance pathologies for lung apparatus. For this aim, we use entropy approach with CHT

A. Lay-Ekuakille, P. Vergallo, I. Jabłoński, S. Casciaro, F. Conversano

International Journal on Smart Sensing and Intelligent Systems, Volume 9 , ISSUE 2, 1156–1176

Article | 15-March-2019

LINDLEY PARETO DISTRIBUTION

In this paper, we introduce a new Lindley Pareto distribution, which offers a more flexible model for modelling lifetime data. Some of its mathematical properties like density function, cumulative distribution, mode, mean, variance, and Shannon entropy are established. A simulation study is carried out to examine the bias and mean square error of the maximum likelihood estimators of the unknown parameters. Three real data sets are fitted to illustrate the importance and the flexibility of the

Halim Zeghdoudi, Lazri Nouara, Djabrane Yahia

Statistics in Transition New Series, Volume 19 , ISSUE 4, 671–692

Article | 20-September-2020

Statistical Properties and Estimation of Power-Transmuted Inverse Rayleigh Distribution

A three-parameter continuous distribution is constructed, using a power transformation related to the transmuted inverse Rayleigh (TIR) distribution. A comprehensive account of the statistical properties is provided, including the following: the quantile function, moments, incomplete moments, mean residual life function and Rényi entropy. Three classical procedures for estimating population parameters are analysed. A simulation study is provided to compare the performance of different

Amal S. Hassan, Salwa M. Assar, Ahmed M. Abdelghaffar

Statistics in Transition New Series, Volume 21 , ISSUE 3, 93–107

Research Article | 04-September-2019

GENERALIZED PARETO DISTRIBUTION BASED ON GENERALIZED ORDER STATISTICS AND ASSOCIATED INFERENCE

In this paper, we have considered the generalized Pareto distribution. Various structural properties of the distribution are derived including (quantile function, explicit expressions for moments, mean deviation, Bonferroni and Lorenz curves and Renyi entropy). We have provided simple explicit expressions and recurrence relations for single and product moments of generalized order statistics from the generalized Pareto distribution. The method of maximum likelihood is adopted for estimating the

Mansoor Rashid Malik, Devendra Kumar

Statistics in Transition New Series, Volume 20 , ISSUE 3, 57–79

Article | 20-September-2020

Generalised Odd Frechet Family of Distributions: Properties and Applications

A new distribution called Generalized Odd Fréchet (GOF) distribution is presented and its properties explored. Some structural properties of the proposed distribution, including the shapes of the hazard rate function, moments, conditional moments, moment generating function, skewness, and kurtosis are presented. Mean deviations, Lorenz and Bonferroni curves, Rényi entropy, and the distribution of order statistics are given. The maximum likelihood estimation technique is used to

Shahdie Marganpoor, Vahid Ranjbar, Morad Alizadeh, Kamel Abdollahnezhad

Statistics in Transition New Series, Volume 21 , ISSUE 3, 109–128

Article | 12-April-2018

Learning Better Classification-based Reordering Model for Phrase-based Translation

Reordering is of a challenging issue in phrase-based statistical machine translation systems. This paper proposed three techniques to optimize classification-based reordering models for phrase-based translation under the bracket transduction grammar framework. First, a forced decoding technique is adopted to learn reordering samples for maximum entropy model training. Secondly, additional features are learned from the context of two consecutive phrases to enhance the prediction ability of the

Li Fuxue, Xiao Tong, Zhu Jingbo

International Journal of Advanced Network, Monitoring and Controls, Volume 2 , ISSUE 3, 145–152

Article | 06-July-2017

TRANSMUTED KUMARASWAMY DISTRIBUTION

derived for the moments, moment generating function, entropy, mean deviation, Bonferroni and Lorenz curves, and formulated moments for order statistics. The 𝑇𝐾𝑤 distribution parameters are estimated by using the method of maximum likelihood. Monte Carlo simulation is performed in order to investigate the performance of MLEs. The flood data and HIV/ AIDS data applications illustrate the usefulness of the proposed model.

Muhammad Shuaib Khan, Robert King, Irene Lena Hudson

Statistics in Transition New Series, Volume 17 , ISSUE 2, 183–210

Research Article | 15-February-2020

A New Method for Interference Reduction in the Smoothed Pseudo Wigner-Ville Distribution

transform, the Zhao-Atlas-Marks distribution, and the Choi-Williams distribution. Five time-frequency Gaussian atoms and a bat echolocation chirp are used as the testing signals. The Rényi entropy, the ratio of norms, the Stanković measure, and the mean squared error are used as quantitative measures to demonstrate the promising results of the proposed method.

Stanislav Pikula, Petr Beneš

International Journal on Smart Sensing and Intelligent Systems, Volume 7 , ISSUE 5, 1–5

Article | 01-December-2015

OPTIMAL CLUSTER HEAD NUMBER BASED ON ENTROY FOR DATA AGGREGATION IN WIRELESS SENSOR NETWORKS

Mingxin Yang

International Journal on Smart Sensing and Intelligent Systems, Volume 8 , ISSUE 4, 1935–1955

Article | 01-September-2016

EVALUATION OF HYBRID TRUST MODELS USING ANT COLONY OPTIMIZATION IN WIRELESS SENSOR NETWORKS

G. Edwin Prem Kumar, K. Baskaran, R. Elijah Blessing, M. Lydia

International Journal on Smart Sensing and Intelligent Systems, Volume 9 , ISSUE 3, 1243–1260

Article | 30-November-2018

Street View House Number Identification Based on Deep Learning

value of the ith sample, and yi is the labelof the ith sample. In the case of back-propagation by the gradient descent method, the minimum mean square error is easy to occur when the neuron output is close to ‘1’ and the gradient is too small to learn slow. We use the cross-entropy loss function here: (2) L=−∑i=1nyilog⁡(y^i)# In addition to the above improvements, we will introduce four optimization algorithms, SGD (with momentum), Adam, Adamax, and RMSprop. B. Comparison effects of different

Haoqi Yang, Hongge Yao

International Journal of Advanced Network, Monitoring and Controls, Volume 4 , ISSUE 3, 47–52

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