scholarly journals Feature Evaluation and Comparison in Radar Emitter Recognition Based on SAHP

Electronics ◽  
2021 ◽  
Vol 10 (11) ◽  
pp. 1274
Author(s):  
Jian Xue ◽  
Lan Tang ◽  
Xinggan Zhang ◽  
Lin Jin ◽  
Ming Hao ◽  
...  
Keyword(s):  
Subjective Experience ◽  
Main Idea ◽  
Extraction Methods ◽  
Performance Comparison ◽  
Decision Matrix ◽  
Analytic Hierarchy ◽  
Feature Evaluation ◽  
Feature Parameters ◽  
Emitter Recognition ◽  
Feature Evaluation And Selection

In the field of radar emitter recognition, with the wide application of modern radar, the traditional recognition method based on typical five feature parameters cannot achieve satisfactory recognition results in a complex electromagnetic environment. Currently, many new feature extraction methods are presented, but few approaches have been applied for feature evaluation or performance comparison. To deal with this problem, a feature evaluation and selection method was proposed based on set pair analysis (SPA) theory and analytic hierarchy process (AHP). The main idea of this method is to use SPA theory to solve problems regarding the construction of the decision matrix based on AHP, as it relies heavily on expert’s subjective experience. The aim was to improve the objectivity of the evaluation. To check the effectiveness of the proposed method, six feature parameters were selected for a comprehensive performance evaluation. Then, the convolutional neural network (CNN) was introduced to validate the recognition capability based on the evaluation results. Simulation results demonstrated that the proposed method could achieve the feature analysis and evaluation more reasonably and objectively.

New Feature Vectors using GFCC for Speaker Identification

2018 ◽  
Vol 6 (8) ◽  
pp. 243
Author(s):  
A. Nagesh
Keyword(s):  
Speaker Recognition ◽  
Speaker Identification ◽  
Signal To Noise Ratio ◽  
Main Idea ◽  
Extraction Methods ◽  
Identification System ◽  
Identification Performance ◽  
Feature Vectors ◽  
Overall Performance ◽  
New Feature

The feature vectors of speaker identification system plays a crucial role in the overall performance of the system. There are many new feature vectors extraction methods based on MFCC, but ultimately we want to maximize the performance of SID system.  The objective of this paper to derive Gammatone Frequency Cepstral Coefficients (GFCC) based a new set of feature vectors using Gaussian Mixer model (GMM) for speaker identification. The MFCC are the default feature vectors for speaker recognition, but they are not very robust at the presence of additive noise. The GFCC features in recent studies have shown very good robustness against noise and acoustic change. The main idea is  GFCC features based on GMM feature extraction is to improve the overall speaker identification performance in low signal to noise ratio (SNR) conditions.

A grey analytic hierarchy process approach to project manager selection

2018 ◽  
Vol 31 (3) ◽  
pp. 749-765 ◽  
Author(s):  
Yakup Çelikbilek
Keyword(s):  
Analytic Hierarchy Process ◽  
Personal Information ◽  
Project Manager ◽  
Software Project ◽  
Decision Matrix ◽  
Analytic Hierarchy ◽  
Content Type ◽  
Energy Company ◽  
Manager Selection ◽  
Hierarchy Process

Purpose Evaluations of grey systems and systems with subjective judgements are always like an impasse for science and companies. Especially, calculations of the problems which include various units are really difficult situations. The purpose of this paper is to propose a grey analytic hierarchy process (G-AHP) for engineering and managerial problems with grey systems to make more clear and objective decisions. Design/methodology/approach Proposed G-AHP approach is applied to project manager selection for a software project of an energy company. The application includes three different units as year, score and assessment. Six engineers are evaluated with 25 criteria in the application. Weights of the factors and assessments are done by three top managers of the company as pairwise comparisons. Other data in the decision matrix are obtained from the personal information and exam results of engineers. Findings Final weights of the criteria and evaluations of engineers are all done with the proposed G-AHP. Obtained results of G-AHP are also compared with grey “VlseKriterijumska Optimizacija I Kompromisno Resenje” results as a validation of the calculations and proposed approach. Final results of the applications are ranked for the evaluations and comparison. All results of the case study are concluded with the effectiveness and applicability of the proposed G-AHP method both for this study and other fields of science, engineering and management. Originality/value This study provides to evaluate and interpret grey systems with different units and subjective judgements for science, engineering and management more clearly and objectively in an easier way.

Probabilistic Linguistic Analytic Hierarchy Process and Its Application on the Performance Assessment of Xiongan New Area

2018 ◽  
Vol 17 (06) ◽  
pp. 1693-1724 ◽  
Author(s):  
Wanying Xie ◽  
Zeshui Xu ◽  
Zhiliang Ren ◽  
Hai Wang
Keyword(s):  
Decision Making ◽  
Analytic Hierarchy Process ◽  
Uncertain Information ◽  
Decision Matrix ◽  
Analytic Hierarchy ◽  
Decision Tools ◽  
Probabilistic Linguistic Term Set ◽  
Complex Decision Making ◽  
The Individual ◽  
Hierarchy Process

Analytic Hierarchy Process (AHP) is one of the most favorable decision tools for dealing with complex decision-making problems. Probabilistic linguistic term set (PLTS) is an up-to-date tool to deal with uncertain information in the decision-making process. In this paper, we extend the AHP to the probabilistic linguistic environment for perfecting the modeling ability of AHP in various decision-making problems. In order to apply the PLTSs to the AHP properly, we first redefine the probabilistic linguistic comparison matrix (PLCM) and propose a new consistency index. Then, we propose a new approach to check and improve the consistency of the PLCMs. After that, we aggregate the individual PLCMs into the collective PLCM and derive the priorities of the collective PLCM. Finally, we combine the priorities with the decision matrix to complete the ranking of alternatives, and a case concerning the performance assessments of three new areas is given and the comparative analysis about the results is performed to demonstrate the feasibility of the proposed method.

Enabling continuous connectivity services for ambrosus blockchain application by incorporating 5G-multilevel machine learning orchestrations

2022 ◽  
pp. 1-16
Author(s):  
Nagaraj Varatharaj ◽  
Sumithira Thulasimani Ramalingam
Keyword(s):  
Machine Learning ◽  
Wireless Networks ◽  
High Speed ◽  
Dynamic Condition ◽  
Main Idea ◽  
Base Station ◽  
Performance Comparison ◽  
Wide Range ◽  
Unit Layer ◽  
Block Chain

Most revolutionary applications extending far beyond smartphones and high configured mobile device use to the future generation wireless networks’ are high potential capabilities in recent days. One of the advanced wireless networks and mobile technology is 5G, where it provides high speed, better reliability, and amended capacity. 5 G offers complete coverage, which is accommodates any IoT device, connectivity, and intelligent edge algorithms. So that 5 G has a high demand in a wide range of commercial applications. Ambrosus is a commercial company that integrates block-chain security, IoT network, and supply chain management for medical and food enterprises. This paper proposed a novel framework that integrates 5 G technology, Machine Learning (ML) algorithms, and block-chain security. The main idea of this work is to incorporate the 5 G technology into Machine learning architectures for the Ambrosus application. 5 G technology provides continuous connection among the network user/nodes, where choosing the right user, base station, and the controller is obtained by using for ML architecture. The proposed framework comprises 5 G technology incorporate, a novel network orchestration, Radio Access Network, and a centralized distributor, and a radio unit layer. The radio unit layer is used for integrating all the components of the framework. The ML algorithm is evaluated the dynamic condition of the base station, like as IoT nodes, Ambrosus users, channels, and the route to enhance the efficiency of the communication. The performance of the proposed framework is evaluated in terms of prediction by simulating the model in MATLAB software. From the performance comparison, it is noticed that the proposed unified architecture obtained 98.6% of accuracy which is higher than the accuracy of the existing decision tree algorithm 97.1% .

Examining the Effects of TAM Constructs on Organizational Software Acquisition Decision

2010 ◽  
pp. 711-730
Author(s):  
Faith-Michael E. Uzoka
Keyword(s):  
Technology Acceptance ◽  
Evaluation Model ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Perceived Ease Of Use ◽  
Statistical Hypothesis Testing ◽  
Decision Matrix ◽  
Analytic Hierarchy ◽  
Domain Experts ◽  
Acceptance Model

The use of multicriteria decision analysis (MCDA) methodology is not uncommon in organizational decisions. However, information systems (IS) researchers have focused on statistical hypothesis testing in examining organizational technology adoption decisions. In this study, an MCDA methodology is adopted in examining the effects of the technology acceptance model (TAM) constructs on organizational software acquisition decision. Analytic hierarchy process (AHP) provides an evaluation model based on the experiential knowledge of domain experts. The results of the study show that software performance plays a significant role in the software acquisition decision matrix, while vendor characteristic is given the least priority. The study also points to the fact that perceived usefulness is more vital than perceived ease of use in software evaluation and acquisition.

scholarly journals Designing a model to determine the preferred Islamic contract for a bank facilities applicant

2018 ◽  
Vol 7 (2.2) ◽  
pp. 21
Author(s):  
Marzieh Jahani ◽  
Parastoo Mohammadi
Keyword(s):  
Evaluation Criteria ◽  
Industrial Sector ◽  
Point Of View ◽  
Second Phase ◽  
Optimization Approach ◽  
Compromise Solution ◽  
Decision Matrix ◽  
Analytic Hierarchy ◽  
The Cost ◽  
Hierarchy Process

This paper aims to present a model to determine the preferred Islamic contract for the bank facilities applicant in the industrial sector. For this purpose we use a consolidated method which includes the compromise solution multi-criteria optimization in the first phase, and the calculation of the cost of financing for the applicant of facilities in the second phase. Afterwards, by using the output of the both-phase, the preferred Islamic contract based on the combinational criterion has been determined for the applicant of the facilities. According to the fact that in the financing of the projects, in addition to the criteria related to the cost of financing, the qualitative criteria are also important, so both the qualitative and quantitative criteria have been considered in this research. In this study, we used four widely applied Islamic contracts (Jo’aalah Instalment sales, Hire purchase, Participation). The assessment criteria of the Islamic contracts have been extracted in the form of a questionnaire based on the previous studies and the expert’s point of view. In the first phase, the Analytic Hierarchy Process (AHP) has been used in order to determine the weights of the evaluation criteria of the Islamic contracts; and, in order to select an appropriate contract for the applicant, the compromise solution multi-criteria optimization approach (VIKOR), which is based on the decision matrix, was used. In the second phase, the cost of financing from the bank was estimated for the applicant of the facilities in the four contracts. Finally, the obtained results of the qualitative questionnaire and the cost of financing from the bank have been combined; thus, the preferred contract for the applicant of facilities has been determined based on a combinational criterion.

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