Journal articles on the topic 'Ranking verification'
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Encrenaz, Emmanuelle, and Alain Finkel. "Automatic Verification of Counter Systems With Ranking Function." Electronic Notes in Theoretical Computer Science 239 (July 2009): 85–103. http://dx.doi.org/10.1016/j.entcs.2009.05.032.
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Stepanyuk, O. I., and V. P. Novosad. "Verification of final ranking which received because of the expert evaluation." Scientific Messenger of LNU of Veterinary Medicine and Biotechnologies 21, no. 93 (November 16, 2019): 96–101. http://dx.doi.org/10.32718/nvlvet-e9319.
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In the modern dynamic information society, situations that are characterized by complexity, multifactoriality, uncertainty, and non-formalization occur very often. Under such conditions, the adoption of effective management decisions is impossible without interaction with the expert environment. This applies to a wide range of human activities, including economic issues. The article is devoted to one of the key stages of expert evaluation – the analysis of members of expert commissions’ judgments and drawing up final conclusions. The author aims to get closer to solving one of the key problems characteristic to this stage, namely: truth verification problems, reliability confirmation for final conclusions obtained as a result of generalization of expert groups’ work. Most often, the experts are asked to compare certain objects according to certain criteria, to identify the best and the worst among them. It is clear that expert judgments are rarely unanimous. Therefore, it is important to apply scientific approaches to constructing final ranking, that is, the final location of objects in order of increase or decrease of a certain quality or usability. The mathematical modeling of activity of an expert group conducted by the author of the article made it possible to identify cases where, depending on the applied techniques, the final rankings obtained on the basis of the judgments of the same experts may differ (sometimes even substantially). This again emphasizes the need to verify the final rankings. The advantages and disadvantages of applying quantitative and qualitative methods in expert-analytical activity are also considered. The scientific novelty of the conducted research is to improve the methodological approaches that will allow to improve the consistency of expert judgments, and to develop recommendations for the complex application of separate methods for constructing total ranking. The article is intended for scientists and practitioners who are interested in contemporary sociological and management approaches to solving economic problems. Also, the article may be useful for specialists and programmers who work in the field of development of artificial intelligence.
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Zmyślony, Piotr, and Natalia Piechota. "The World’s Tourist Metropolis in International Cities’ Rankings – Statistical Multicriterial Ranking Analysis." Folia Turistica 38 (March 31, 2016): 57–80. http://dx.doi.org/10.5604/01.3001.0008.9384.
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Purpose. (1) Measuring the economic and tourist potential of metropolitan areas recognized as world/global cities; (2) determining the intensity of the relationship between tourism potential and economic potential of these cities; (3) proposing a classification of the world’s tourist cities. Method. Multicriterial ranking method based on secondary sources in the form of cities’ rankings characterized by their tourist and economic potential; measuring the relationship between their tourism and economic potential using the Pearson correlation coefficient. Findings. The study revealed the ranking of 22 world’s tourist cities, led by London, Paris and New York. The strong association between the tourist and economic potential of the cities was confirmed. Research and conclusion limitations. The quality of the sources, limited objectivity of the source selection and the ranking method used; the generalized nature of the results. Practical implications. Practical verification of the descriptive concept of world tourism cities proposed by R. Maitland and P. Newman [2009]; proposing the authors’ method of measuring the degree of internationalization of city tourism function. Originality. The paper proposes a ranking of the world’s tourist cities and analyses the tourism potential of cities in the context of their economic competitiveness. Type of paper. Theoretical/empirical study.
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BALABAN, ITTAI, AMIR PNUELI, and LENORE D. ZUCK. "MODULAR RANKING ABSTRACTION." International Journal of Foundations of Computer Science 18, no. 01 (February 2007): 5–44. http://dx.doi.org/10.1142/s0129054107004553.
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Predicate abstraction has become one of the most successful methodologies for proving safety properties of programs. Recently, several abstraction methodologies have been proposed for proving liveness properties. This paper studies "ranking abstraction" where a program is augmented by a non-constraining progress monitor based on a set of ranking functions, and further abstracted by predicate-abstraction, to allow for automatic verification of progress properties. Unlike many liveness methodologies, the augmentation does not require a complete ranking function that is expected to decrease with each helpful step. Rather, adequate user-provided inputs are component rankings from which a complete ranking function may be automatically formed. The premise of the paper is an analogy between the methods of ranking abstraction and predicate abstraction, one ingredient of which is refinement: When predicate abstraction fails, one can refine it. When ranking abstraction fails, one must determine whether the predicate abstraction, or the ranking abstraction, needs be refined. The paper presents strategies for determining which case is at hand, and methods for performing the apporpriate refinements. The other part of the analogy is that of automatically deriving deductive proof constructs: Predicate abstraction is often used to derive program invariants for proving safety properties as a boolean combination of the given predicates. Deductive proof of progress properties requires well-founded ranking functions in addition to invariants. We show how the constructs necessary for a deductive proof of an arbitrary LTL formula can be automatically extracted from a successful application of the ranking abstraction method.
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Khubaev, G., K. Shcherbakova, and E. Petrenko. "Iterative Object Ranking Verification Method: Programming Implementation, Fields of Application." Bulletin of Science and Practice 7, no. 5 (May 15, 2021): 344–55. http://dx.doi.org/10.33619/2414-2948/66/34.
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This paper provides an overview of the originality and advantages of the Iterative Object Ranking Verification method, analyzes an example of the Python programming implementation, describes possible fields to apply the method.
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Gilleland, Eric, Johan Lindström, and Finn Lindgren. "Analyzing the Image Warp Forecast Verification Method on Precipitation Fields from the ICP." Weather and Forecasting 25, no. 4 (August 1, 2010): 1249–62. http://dx.doi.org/10.1175/2010waf2222365.1.
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Abstract Image warping for spatial forecast verification is applied to the test cases employed by the Spatial Forecast Verification Intercomparison Project (ICP), which includes both real and contrived cases. A larger set of cases is also used to investigate aggregating results for summarizing forecast performance over a long record of forecasts. The technique handles the geometric and perturbed cases with nearly exact precision, as would be expected. A statistic, dubbed here the IWS for image warp statistic, is proposed for ranking multiple forecasts and tested on the perturbed cases. IWS rankings for perturbed and real test cases are found to be sensible and physically interpretable. A powerful result of this study is that the image warp can be employed using a relatively sparse, preset regular grid without having to first identify features.
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Raden, Martin, Fabio Gutmann, Michael Uhl, and Rolf Backofen. "CopomuS—Ranking Compensatory Mutations to Guide RNA-RNA Interaction Verification Experiments." International Journal of Molecular Sciences 21, no. 11 (May 28, 2020): 3852. http://dx.doi.org/10.3390/ijms21113852.
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In silico RNA-RNA interaction prediction is widely applied to identify putative interaction partners and to assess interaction details in base pair resolution. To verify specific interactions, in vitro evidence can be obtained via compensatory mutation experiments. Unfortunately, the selection of compensatory mutations is non-trivial and typically based on subjective ad hoc decisions. To support the decision process, we introduce our COmPensatOry MUtation Selector CopomuS. CopomuS evaluates the effects of mutations on RNA-RNA interaction formation using a set of objective criteria, and outputs a reliable ranking of compensatory mutation candidates. For RNA-RNA interaction assessment, the state-of-the-art IntaRNA prediction tool is applied. We investigate characteristics of successfully verified RNA-RNA interactions from the literature, which guided the design of CopomuS. Finally, we evaluate its performance based on experimentally validated compensatory mutations of prokaryotic sRNAs and their target mRNAs. CopomuS predictions highly agree with known results, making it a valuable tool to support the design of verification experiments for RNA-RNA interactions. It is part of the IntaRNA package and available as stand-alone webserver for ad hoc application.
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Lai, Songxuan, Lianwen Jin, Luojun Lin, Yecheng Zhu, and Huiyun Mao. "SynSig2Vec: Learning Representations from Synthetic Dynamic Signatures for Real-World Verification." Proceedings of the AAAI Conference on Artificial Intelligence 34, no. 01 (April 3, 2020): 735–42. http://dx.doi.org/10.1609/aaai.v34i01.5416.
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An open research problem in automatic signature verification is the skilled forgery attacks. However, the skilled forgeries are very difficult to acquire for representation learning. To tackle this issue, this paper proposes to learn dynamic signature representations through ranking synthesized signatures. First, a neuromotor inspired signature synthesis method is proposed to synthesize signatures with different distortion levels for any template signature. Then, given the templates, we construct a lightweight one-dimensional convolutional network to learn to rank the synthesized samples, and directly optimize the average precision of the ranking to exploit relative and fine-grained signature similarities. Finally, after training, fixed-length representations can be extracted from dynamic signatures of variable lengths for verification. One highlight of our method is that it requires neither skilled nor random forgeries for training, yet it surpasses the state-of-the-art by a large margin on two public benchmarks.
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Ji, Yingchun, Yi Zhang, Ivan Korolija, and Julie Futcher. "Design summer year weather – outdoor warmth ranking metrics and their numerical verification." Building Services Engineering Research and Technology 37, no. 6 (July 28, 2016): 639–63. http://dx.doi.org/10.1177/0143624416648179.
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Takisaka, Toru, Yuichiro Oyabu, Natsuki Urabe, and Ichiro Hasuo. "Ranking and Repulsing Supermartingales for Reachability in Randomized Programs." ACM Transactions on Programming Languages and Systems 43, no. 2 (July 2021): 1–46. http://dx.doi.org/10.1145/3450967.
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Computing reachability probabilities is a fundamental problem in the analysis of randomized programs. This article aims at a comprehensive and comparative account of various martingale-based methods for over- and under-approximating reachability probabilities. Based on the existing works that stretch across different communities (formal verification, control theory, etc.), we offer a unifying account. In particular, we emphasize the role of order-theoretic fixed points—a classic topic in computer science—in the analysis of randomized programs. This leads us to two new martingale-based techniques, too. We also make an experimental comparison using our implementation of template-based synthesis algorithms for those martingales.
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Bai, Zhongxin, Jianyu Wang, Xiao-Lei Zhang, and Jingdong Chen. "End-to-End Speaker Verification via Curriculum Bipartite Ranking Weighted Binary Cross-Entropy." IEEE/ACM Transactions on Audio, Speech, and Language Processing 30 (2022): 1330–44. http://dx.doi.org/10.1109/taslp.2022.3161155.
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Wild, Ashley, Zhi-Weng Chua, and Yuriy Kuleshov. "Triple Collocation Analysis of Satellite Precipitation Estimates over Australia." Remote Sensing 14, no. 11 (June 6, 2022): 2724. http://dx.doi.org/10.3390/rs14112724.
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The validation of precipitation estimates is necessary for the selection of the most appropriate dataset, as well as for having confidence in its selection. Traditional validation against gauges or radars is much less effective when the quality of these references (which are considered the ‘truth’) degrades, such as in areas of poor coverage. In scenarios like this where the ‘truth’ is unreliable or unknown, triple collocation analysis (TCA) facilitates a relative ranking of independent datasets based on their similarity to each other. TCA has been successfully employed for precipitation error estimation in earlier studies, but a thorough evaluation of its effectiveness over Australia has not been completed before. This study assesses the use of TCA for precipitation verification over Australia using satellite datasets in combination with reanalysis data (ERA5) and rain gauge data (AGCD) on a monthly timescale from 2001 to 2020. Both the additive and multiplicative models for TCA are evaluated. These results are compared against the traditional verification method using gauge data and Multi-Source Weighted-Ensemble Precipitation (MSWEP) as references. AGCD (KGE = 0.861), CMORPH-BLD (0.835), CHIRPS (0.743), and GSMaP (0.708) were respectively found to have the highest KGE when compared to MSWEP. The ranking of the datasets, as well as the relative difference in performance amongst the datasets as derived from TCA, can largely be reconciled with the traditional verification methods, illustrating that TCA is a valid verification method for precipitation over Australia. Additionally, the additive model was less prone to outliers and provided a spatial pattern that was more consistent with the traditional methods.
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Gorash, Yevgen, Tugrul Comlekci, and Robert Hamilton. "CAE-Based application for identification and verification of hyperelastic parameters." Proceedings of the Institution of Mechanical Engineers, Part L: Journal of Materials: Design and Applications 231, no. 7 (September 1, 2015): 611–26. http://dx.doi.org/10.1177/1464420715604004.
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The main objective of this study is to develop a CAE-based application with a convenient GUI for identification and verification of material parameters for hyperelastic models available in the current release of the FE code ANSYS Mechanical APDL. This Windows application implements a two-step procedure: (1) fitting of experimental stress–strain curves provided by the user; (2) verification of the obtained material parameters by the solution of a modified benchmark problem. The application, which was developed using the Visual Basic.NET language, implements a two-way interaction with ANSYS as a single loop using the APDL script as input and text, graphical and video files as output. With this application, nine isotropic incompressible hyperelastic material models are compared by fitting them to the conventional Treloar’s experimental dataset (1944) for vulcanised rubber. A ranking of hyperelastic models is constructed according to model efficiency, which is estimated using fitting quality criteria. The model ranking is done based upon the complexity of their mathematical formulation and their ability to accurately reproduce the test data. Recent hyperelastic models (Extended Tube and Response Function) are found to be more efficient compared to conventional ones. The verification is done by the comparison of an analytical solution to an FEA result for the benchmark problem of a rubber cylinder under compression proposed by Lindley (1967). In the application, the classical formulation of the benchmark is improved mathematically to become valid for larger deformations. The wide applicability of the proposed two-step approach is confirmed using stress–strains curves for seven different formulations of natural rubber and seven different grades of synthetic rubber.
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KAMINUMA, ELI, HIROSHI MASUYA, IKUO MIURA, HIROMI MOTEGI, KENZI R. TAKAHASI, MIKI NAKAZAWA, MINAMI MATSUI, et al. "OBJECTIVE EVALUATION MEASURES OF GENETIC MARKER SELECTION IN LARGE-SCALE SNP GENOTYPING." Journal of Bioinformatics and Computational Biology 06, no. 05 (October 2008): 905–17. http://dx.doi.org/10.1142/s021972000800376x.
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High-throughput single nucleotide polymorphism (SNP) genotyping systems provide two kinds of fluorescent signals detected from different alleles. In current technologies, the process of genotype discrimination requires subjective judgments by expert operators, even when using clustering algorithms. Here, we propose two evaluation measures to manage fluorescent scatter data with nonclear plot aggregation. The first is the marker ranking measure, which provides a ranking system for the SNP markers based on the distance between the scatter plot distribution and a user-defined ideal distribution. The second measure, called individual genotype membership, uses the membership probability of each genotype related to an individual plot in the scatter data. In verification experiments, the marker ranking measure determined the ranking of SNP markers correlated with the subjective order of SNP markers judged by an expert operator. The experiment using the individual genotype membership measure clarified that the total number of unclassified individuals was remarkably reduced compared to that of manually unclassified ones. These two evaluation measures were implemented as the GTAssist software. GTAssist provides objective standards and avoids subjective biases in SNP genotyping workflows.
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Ziemba, Paweł. "Inter-Criteria Dependencies-Based Decision Support in the Sustainable wind Energy Management." Energies 12, no. 4 (February 24, 2019): 749. http://dx.doi.org/10.3390/en12040749.
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Decision problems related to the wind energy require considering many, often interrelated and dependent on each other, criteria. To solve such problems, decision systems based on Multi-Criteria Decision Analysis (MCDA) methods are usually used. Unfortunately, most methods assume independence between the criteria, therefore, their application in decision problems related to the wind energy is debatable. This paper presents the use of the Analytic Network Process (ANP) method to solve a decision problem consisting in selecting the location and design of a wind farm. The use of the ANP method allows capturing the complexity of the decision problem by taking into consideration dependencies between criteria. As part of the verification of the solution, the results of the ANP method were compared with those of the Analytic Hierarchy Process (AHP) method, which uses only hierarchical dependencies between criteria. The conducted verification showed that the inter-criteria dependencies may have a significant influence on the obtained solution. On the basis of the conducted sensitivity analysis and the research into robustness of the rankings to the rank reversal phenomenon, it has been found out that the ranking obtained with the use of the ANP is characterized by a higher quality than by means of the AHP.
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Della Spina, Lucia. "Cultural Heritage: A Hybrid Framework for Ranking Adaptive Reuse Strategies." Buildings 11, no. 3 (March 22, 2021): 132. http://dx.doi.org/10.3390/buildings11030132.
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The purpose of this research is to illustrate, through a case study, a multilevel decision-making process able to support the decision maker in optimizing investment choices for the efficient allocation of public resources, with specific reference to recovery and adaptation to the reuse of unused historical public heritage. During the evaluation process, two methods in particular were combined according to a multiphase design: (i) a multi-criteria analysis to identify the Highest and Best Use among alternative reuse scenarios and (ii) a Discounted Cash Flow Analysis to support verification of the financial feasibility of the investment, in the hypothesis of an enhancement concession in a public–private partnership. Each method was applied in parallel to the evolution of the different design scenarios. The results of the study show that hybrid approaches are a promising line of research in the field of evaluation and urban design, applied to cultural heritage.
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Huh, Sang Moo, and Woo Je Kim. "Locating Core Modules through the Association between Software Source Structure and Execution." Applied Sciences 11, no. 4 (February 13, 2021): 1685. http://dx.doi.org/10.3390/app11041685.
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To improve software quality, the source code that composes software has to be improved, and improving the important code that largely affects the software quality should be a cost-effective method. Static analysis defines important codes as those that occupy important positions in the source network, while dynamic analysis defines important codes as those with high execution frequency. However, neither method analyzes the association between network structure and execution frequency, and both have their disadvantages. Thus, this study analyzed the association between source network structure and execution frequency to solve their disadvantages. The source function of Notepad++ was analyzed, and the function ranking was derived using the association between network structure and execution frequency. For verification, the Spearman correlation between the newly derived function ranking and the function ranking of the network and execution frequency obtained with the conventional method was measured. By measuring the Spearman correlation, the newly derived function ranking had strong correlations with execution frequency and included the network structure’s characteristics. Moreover, similar to the Pareto principle, the analysis showed that 20% of Notepad++’s functions could be categorized as important functions, largely affecting the software’s quality.
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Seo, Jung Pyo, Woncheol Cho, and Tae Sung Cheong. "Development of priority setting process for the small stream restoration projects using multi criteria decision analysis." Journal of Hydroinformatics 17, no. 2 (July 17, 2014): 211–25. http://dx.doi.org/10.2166/hydro.2014.058.
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This study performed a flood risk assessment using one of the multi criteria decision-making methods to identify the small stream basins with high risk of flooding and to determine the optimal small stream restoration measures by priority ranking for flood risk. The 12 representative factors for the flood risk assessment were carefully selected and constructed for the three main aspects, such as pressure factors, state factors and response factors including the government capacities under the pressure-state-response classification system for identifying the 212 small stream watersheds. The entropy weight coefficient method helps to reduce subjective judgments as well as calculate effective weighting coefficients. To evaluate the practical applications of the proposed method, the results from the preference ranking organization method for enrichment evaluation (PROMETHEE) with six preference functions are compared with the official priority ranking of flood risk assessment for the Small Stream Watershed Restoration Projects which is determined by the weighted method. Also, guidelines for the community-based restoration projects such as prevention or preparedness, sustainable development and resilient recovering have been suggested based on the three predicted priority ranking groups. It is expected that the flood risk assessment ranking ensured by full verification can help to establish optimal regional restoration plans against flooding disasters with respect to causes and characteristics of past flash flood.
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Jeon, Chan Hui. "A Study on the Improvement Measures for Establishment of the Personnel Hearing System." Korea Association for Corruption Studies 27, no. 2 (June 30, 2022): 55–72. http://dx.doi.org/10.52663/kcsr.2022.27.2.55.
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In a presidential country with clear separation of powers by the Constitution, it is natural to exercise the personnel rights granted to the president to find the best person and operate efficient state affairs. The exercise of personnel rights consistent with the president's philosophy of state affairs can be seen in two main stages. It is the stage of personnel verification at the Blue House and the stage of appointment consent and personnel hearing at the National Assembly. In addition to verifying the policies and qualifications of high-ranking candidates, it is also a means of checking the executive branch of the legislature in a presidential system on the premise of strict separation of power, and further preventing the president from exercising personnel rights. However, it is natural that the confirmation hearing system for high-ranking government officials, which we are used to, should be the answer to its original purpose with a reckless operation, but the hearing was often paralyzed by political delays. Of course, the National Assembly's confirmation committee members believe that they will leave the ruling and opposition parties to thoroughly inquire into the competencies required of the candidates and investigate suspicions that the public is curious about. Aside from the truth or not, the allegation of the moral verification of high-ranking candidates is not only disparaging the morality of our society, but there is also a concern that the issue of the National Personnel Authority will be undermined. In addition, it is true that high-ranking officials who do not require a vote on the National Assembly's motion for appointment are allowed to appoint even if the hearing and report of the competent standing committee are not adopted, and there are frequent cases of appointment. Since the process from birth to the present has not been deplorable, it is expected that the net function of the system will develop into pure logic, even if there are unpredictable variables in reality to lay the foundation for dispelling negative factors.
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AZADEH, A., S. F. GHADERI, and M. FAZLI AHMADABAD. "MULTI CRITERIA QUALITY ASSESSMENT OF PRODUCTS BY INTEGRATED DEA-PCA APPROACH." International Journal of Reliability, Quality and Safety Engineering 14, no. 03 (June 2007): 201–18. http://dx.doi.org/10.1142/s0218539307002593.
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The objective of this study is to analyze and assess multi criteria quality of products by an integrated multivariate approach. The integrated multivariate method is based on data envelopment analysis (DEA), principle component analysis (PCA) and numerical taxonomy (NT). To achieve the objective of this study 51-product quality indicators were identified. These indicators (inputs and outputs) were classified as direct and indirect product quality indices and they were classified according to balanced score card (BSC) arrangements. To show the applicability of the proposed approach, five random indicators were considered for seventeen workshops within a large machinery manufacturer. Moreover, PCA, DEA and NT were applied to the set of data. Furthermore, PCA and NT are used to verify and validate the findings of DEA. The results (ranking) of the three approaches were then compared by non-parametric Spearman and Kendall Tau correlation techniques. The results of the non-parametric analysis show should high level of correlation between the three approaches. Previous studies evaluate quality characteristics based on a set of selected criteria that does not reflect total quality characteristics, whereas this study proposes a total multi criteria quality approach to overcome these shortcomings. Moreover, this is the first study to utilize and apply an integrated multivariate approach based on DEA, PCA and Numerical Taxonomy for assessment, ranking and verification and validation of industrial units based on multi criteria quality characteristics. This means that DEA is used for ranking, PCA is used for evaluation of the importance of each indicator and NT is used for validation and verification purpose. The approach of this study may be applied to other manufacturers for total quality assessment of quality characteristics.
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R, Ashoka Rajan, Pon Bharathi A, Sarika A S, and Vedha Vinodha D. "Multimodal Biometric Template Transformation Approach using a List Ranking Algorithm." Review of Computer Engineering Research 9, no. 4 (October 14, 2022): 239–49. http://dx.doi.org/10.18488/76.v9i4.3169.
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User authentication has become vital with the advancement in technologies that comes with an increased threat to security. Biometrics is typically used to secure the data of individuals based on their unique features, such as fingerprints, retinas, and hand geometry. Template transformation is a technique in which the original feature vectors are transformed into modified feature vectors. When these templates are transformed and stored, it becomes difficult for imposters to hack the system. Existing systems store and secure these templates based on key generation. When the key information is compromised, the system can be easily hacked. Hence, in the proposed system, the templates are transformed using a modified list ranking algorithm and then stored for verification. Also, in order to improve security, instead of using a single biometric, the proposed system obtains biometric data from left fingerprints, right fingerprints and palm prints and fuses them into a single feature vector set. Thus, even when the repository is attacked, it would be very difficult to break into the system. The proposed system provides a 2.9 % equal error rate compared with existing systems.
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Shao, Bo, Yeyun Gong, Weizhen Qi, Guihong Cao, Jianshu Ji, and Xiaola Lin. "Graph-Based Transformer with Cross-Candidate Verification for Semantic Parsing." Proceedings of the AAAI Conference on Artificial Intelligence 34, no. 05 (April 3, 2020): 8807–14. http://dx.doi.org/10.1609/aaai.v34i05.6408.
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In this paper, we present a graph-based Transformer for semantic parsing. We separate the semantic parsing task into two steps: 1) Use a sequence-to-sequence model to generate the logical form candidates. 2) Design a graph-based Transformer to rerank the candidates. To handle the structure of logical forms, we incorporate graph information to Transformer, and design a cross-candidate verification mechanism to consider all the candidates in the ranking process. Furthermore, we integrate BERT into our model and jointly train the graph-based Transformer and BERT. We conduct experiments on 3 semantic parsing benchmarks, ATIS, JOBS and Task Oriented semantic Parsing dataset (TOP). Experiments show that our graph-based reranking model achieves results comparable to state-of-the-art models on the ATIS and JOBS datasets. And on the TOP dataset, our model achieves a new state-of-the-art result.
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Bian, Wenyan, Junjie Li, Ruyue Zhao, Xijun Wu, and Wei Wu. "Establishment and Saliency Verification of a Visual Translation Method for Cultural Elements of High-Speed Railways: A Case Study of the BZ Railway Line." Applied Sciences 12, no. 17 (August 25, 2022): 8520. http://dx.doi.org/10.3390/app12178520.
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The high-speed railway station symbol system, generated from regional culture translations, not only improves transfer efficiency but also reveals the area’s unique urban cultural context. In this study, we used an eye-tracking technique and virtual reality technology to examine the visual cognitive preferences of the existing cultural translation method used by the Beijing–Zhangjiakou high-speed railway. Then, considering the design and layout of the existing station symbol system, we analyzed the visual saliency of different elements such as images, words, and symbols in three types of spaces in the Taizicheng high-speed railway station. The experiment site was located in the physical laboratory of the School of Architecture and Design at Beijing Jiaotong University. A total of 94 students from different majors were selected to participate in the experiment, with 92 datapoints eventually being deemed valid. The experiment data showed the following. First, the overall significance ranking of three scenes in the Taizicheng station was: S1 (81.10%) > S2 (64.57%) > S3 (49.57%). The cognitive correctness rankings of the number positions of the three scenes were: S1: 5 > 2 > 3 > 1 = 4; S2: 4 > 2 > 3 > 1 > 5; S3: 1 > 3 > 2 > 5 > 4. Second, the significance ranking of the transliteration element in S1 was: Images > Words > Sculptures > Patterns > Colors; S2 was: Patterns > Colors > Words > Images > Sculptures; and S3 was: Colors > Images > Words > Patterns > Sculptures. The results underscore the validity of the Beijing–Zhangjiakou cultural translation and offer a reference for station layout and spatial optimization. Finally, they provide new ideas for the design and layout of station symbol systems.
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Lechner, Mathias, Đorđe Žikelić, Krishnendu Chatterjee, and Thomas A. Henzinger. "Stability Verification in Stochastic Control Systems via Neural Network Supermartingales." Proceedings of the AAAI Conference on Artificial Intelligence 36, no. 7 (June 28, 2022): 7326–36. http://dx.doi.org/10.1609/aaai.v36i7.20695.
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We consider the problem of formally verifying almost-sure (a.s.) asymptotic stability in discrete-time nonlinear stochastic control systems. While verifying stability in deterministic control systems is extensively studied in the literature, verifying stability in stochastic control systems is an open problem. The few existing works on this topic either consider only specialized forms of stochasticity or make restrictive assumptions on the system, rendering them inapplicable to learning algorithms with neural network policies. In this work, we present an approach for general nonlinear stochastic control problems with two novel aspects: (a) instead of classical stochastic extensions of Lyapunov functions, we use ranking supermartingales (RSMs) to certify a.s. asymptotic stability, and (b) we present a method for learning neural network RSMs. We prove that our approach guarantees a.s. asymptotic stability of the system and provides the first method to obtain bounds on the stabilization time, which stochastic Lyapunov functions do not. Finally, we validate our approach experimentally on a set of nonlinear stochastic reinforcement learning environments with neural network policies.
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Herrero-Solana, Victor, and Carlos Castro-Castro. "Telegram Channels and Bots: A Ranking of Media Outlets Based in Spain." Societies 12, no. 6 (November 18, 2022): 164. http://dx.doi.org/10.3390/soc12060164.
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Telegram, an Industry 4.0 style communication service, is one of the world’s most widespread communication platforms. The availability of channels and bots has opened as a broadcast channel for any media outlet. We asked the following questions: Do media outlets from Spain use Telegram channels? Which media outlets? Are they verified? What is their volume of subscribers? Can this information be used to rank media outlets? We identified many media channels and data were collected from each one. We present the results in a ranking. Forty-two media based in Spain have Telegram channels, 26 of which are ranked in the directory. Less than half of these channels are verified by the platform, and only three are linked to their website. This lack of verification could lead to the proliferation of fake channels. The article ends with a series of recommendations for channel managers to make it easier for the end user to identify and verify each media outlet.
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Talukdar, Pranjal, and Palash Dutta. "A New Ranking Approach for Interval Valued Intuitionistic Fuzzy Sets and its Application in Decision Making." International Journal of Fuzzy System Applications 8, no. 2 (April 2019): 89–104. http://dx.doi.org/10.4018/ijfsa.2019040105.
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In this article, a pair of primal-dual problems of linear programming are presented under a fuzzy environment. The appropriate duality results are established using aspiration level approach. This study uses the hyperbolic tangent membership functions to represent fulfilment of the decision maker's degree of satisfaction in contrast to available literature which relied on linear membership functions. The solutions obtained from the use of hyperbolic tangent membership functions are elicited through a comparison of solutions obtained by employing linear membership functions. The demonstration of approach and verification of results is presented through numerical examples.
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Miletić, Filip, Miloš Tanasijević, Dragan Ignjatović, and Nikola Polovina. "Creating of gearboxes range models on the basis of technical characteristics and its verification through practical application tomining mechanization." Tehnika 75, no. 6 (2020): 711–16. http://dx.doi.org/10.5937/tehnika2006711m.
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Gearboxes used on mining machinery work under conditions of exceptional changes in working loads. Given the not negligible investment in purchasing the gearboxes and maintenance costs due to the failure of his elements, it is very important that they have a satisfactory service life. Based on their technical characteristics, a model will be created using the PROMETHEE method with the aim of ranking each of the offered alternatives. Model verification will be performed on the basis of hours worked in the practical application of the reducers analyzed.
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Cheng, Ching Ming, Wen Fang Wu, and Yao Hsu. "A Systematized FMEA Practice for Magnet Relays." Advanced Materials Research 146-147 (October 2010): 757–69. http://dx.doi.org/10.4028/www.scientific.net/amr.146-147.757.
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The Design Failure Modes and Effects Analysis (DFMEA) are generally applied to risk management of New Product Development (NPD) through standardization of potential failure modes and effect-ranking of rating criterion with failure modes. Typical 1 to 10 of effect-ranking are widely weighed the priority of classification, that framing effects and status quo senses might cause decision trap happening thus. The FMEA follows considerable indexes which are including Severity, Occurrence and Detection, and need be associated with difference between every two failures individually. However, we suspect that a more systematic construction of the analysis by which failure modes belong is necessary in order to make intellectual progress in this area. Two ways of such differentiation and construction are improvable effect-ranking and systematized indexes; here we resolve for attributes of failures with classification, maturity and experiance of indexes according to an existing rule. In Severity model, the larger differentiation is achieved by separating indexes to the classification of the Law & Regulation, Function and Cosmetic. Occurrence model has its characteristic a reliable ranking indexwhich assists decisionmakers to manage their venture. This is the model most closely associate with product maturity by grouping indexes to the new, extend and series product. Detection model offers a special perspective on cost; here the connections concerned with phase occasion of the review, verification and validation. Such differentiations will be proposed and mapped with the Life Cycle Profile (LCP) to systematize FMEA. Meanwhile, a more reasonable Risk Priority Number (RPN) with the new weighting rule will be worked out for effect-ranking and management system will be integrated systematiclly
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Chen, Wei, Jia Liu, Ziyang Chen, Xian Tang, and Kaiyu Li. "PBSM: An Efficient Top-K Subgraph Matching Algorithm." International Journal of Pattern Recognition and Artificial Intelligence 32, no. 06 (February 21, 2018): 1850020. http://dx.doi.org/10.1142/s0218001418500209.
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Top-K subgraph matching is one of the hot research issues in graph data management, which is to find, from the data graph, K subgraphs isomorphic to the query graph with the largest sum of weights. The existing methods of Top-K subgraph matching on large graphs usually use the filter-and-verify strategy. However, they all suffer from inefficiency in both stages. In the filtering stage, there exists repeated enumeration of vertices and the excessive memory cost of the filtering. In the verification stage, there exists redundant verification. Regarding to the above problems, we propose to use the preprocessing of the graph compression based on equivalent vertices to reduce the enumeration. In the filtering stage, we propose to reduce the memory cost by only considering the direct neighbors. In the verification stage, we take the vertex with the minimum number of candidate vertices in the query graph as the start vertex of the matching order, and use the idea of Ranking While Matching (RWM) to terminate the execution of the algorithm as early as possible by estimating the upper bound of the weights, so as to reduce redundant verification and improve the overall performance. Finally, the experimental results show that our method is much more efficient than existing methods in compression and the processing time.
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Peng, Long, Jiajie Li, Jingming Zhao, Sanlei Dang, Zhengmin Kong, and Li Ding. "Automatic Verification Flow Shop Scheduling of Electric Energy Meters Based on an Improved Q-Learning Algorithm." Energies 15, no. 5 (February 22, 2022): 1626. http://dx.doi.org/10.3390/en15051626.
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Considering the engineering problem of electric energy meter automatic verification and scheduling, this paper proposes a novel scheduling scheme based on an improved Q-learning algorithm. First, by introducing the state variables and behavior variables, the ranking problem of combinatorial optimization is transformed into a sequential decision problem. Then, a novel reward function is proposed to evaluate the pros and cons of the different strategies. In particular, this paper considers adopting the reinforcement learning algorithm to efficiently solve the problem. In addition, this paper also considers the ratio of exploration and utilization in the reinforcement learning process, and then provides reasonable exploration and utilization through an iterative updating scheme. Meanwhile, a decoupling strategy is introduced to address the restriction of over estimation. Finally, real time data from a provincial electric energy meter automatic verification center are used to verify the effectiveness of the proposed algorithm.
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Jakovljevic, Vladimir, Mališa Zizovic, Dragan Pamucar, Željko Stević, and Miloljub Albijanic. "Evaluation of Human Resources in Transportation Companies Using Multi-Criteria Model for Ranking Alternatives by Defining Relations between Ideal and Anti-Ideal Alternative (RADERIA)." Mathematics 9, no. 9 (April 27, 2021): 976. http://dx.doi.org/10.3390/math9090976.
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Multi-criteria decision-making methods (MCDM) represent a very powerful tool for making decisions in different areas. Making a rational and reliable decision, while respecting different factors, is a challenging and difficult task; MCDM models have a great impact on achieving this goal. In this paper, a new MCDM technique is presented—ranking alternatives by defining relations between the ideal and anti-ideal alternative (RADERIA), which was tested for the evaluation of human resources (HR) in a transportation company. The RADERIA model has three key advantages that recommend it for future use: (1) the RADERIA model has a new approach for data normalization that enables defining the normalization interval according to the judgments of a decision-maker; (2) an adaptive model for data normalization of the RADERIA model allows tough conversion into various forms of decreasing functions (linear, quadratic equation, etc.); and (3) the resistance of the RADERIA model to the rank reversal problem. Furthermore, in many simulations, the RADERIA method has shown stability when processing a larger number of datasets. This was also confirmed by a case study with 36 alternatives, as considered in this paper. The results and verification of the proposed new method were acquired through a comprehensive verification of the complexity of the results. The complexity of the results was executed through (1) comparison with four other multi-criteria methods, (2) checking the resistance of the RADERIA model to the rank reversal problem, and (3) the analysis of the impact of changes in the measurement scale on the ranking results.
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Nazri, M. N. B. A., M. Haque, A. N. Mustafizul Karim, and Fatima B. Muhamad. "Ranking of Manufacturing Attributes Affecting Bread Quality: Application of Analytic Hierarchy Process." Advanced Materials Research 1115 (July 2015): 601–5. http://dx.doi.org/10.4028/www.scientific.net/amr.1115.601.
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Bread is considered as a prime item of cereal intake globally. Due to the rising public health concerns and their dietary needs, importance of identifying the factors in bread making, and taking necessary action plans can hardly be overemphasized. Moreover, to be competitive in business it is crucial for any bread maker to address the manufacturing factors or attributes to reduce the rejection level due to poor quality. This study makes an attempt to identify those attributes and rank them through application of analytic hierarchy process (AHP). The questionnaire is prepared to judge the ranking of initially identified five prime attributes such as ingredient quality, processing time and procedure, environment and workers’ skill. The responses by the manager, supervisor, line leader and quality control inspector on pair-wise comparison scale are collected and analyzed by using Expert Choice software along with the verification of inconsistency value. According to the results, quality of ingredient is ranked first followed by the processing time of the bread, production procedure, worker’s skill, and production environment. Since the inconsistency level is found to be below the threshold value, policies can be adopted safely in accordance with the ranking of factors to uphold the quality of bread and reduce the rejection level.
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Popescu, Gabriel, and Carmen Gasparotti. "SWOT-AHP HYBRID METHOD FOR RANKING THE STRATEGIES IN THE SHIPBUILDING SECTOR." Journal of Business Economics and Management 23, no. 3 (June 8, 2022): 706–30. http://dx.doi.org/10.3846/jbem.2022.17029.
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The paper outlines the most important shipbuilding strategies in Romania that would allow this industry to increase its performance to be competitive. The research is mainly based on the collection of information from experts in the field from ANCONAV (Romanian Shipbuilders Association), specialists in design and production, and shipyard managers in Romania. The SWOT analysis was based on this information and was the starting point in formulating the strategies. The quantitative determination of the importance of each factor and sub-factor from the SWOT matrix in view of ranking the strategies, but also the verification of the points of view of the experts in the field were performed using the Analytical Hierarchy Process Method (AHP), using Excel applications. The obtained results consisted in identifying the internal and external environmental factors and formulating the main strategies with positive effects on the Romanian naval sector (the development of a Romanian cluster, the consolidation of the position on the global ship market through aggressive marketing, investments regarding the construction of ecological ships, the development of centers of excellence for exploiting the research-development-innovation capacity, the limitation of highly-skilled labor migration, expanding the digitalization, and developing a marketing policy to promote the national shipbuilding companies globally).
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Zilincan, Jakub. "SEARCH ENGINE OPTIMIZATION." CBU International Conference Proceedings 3 (September 19, 2015): 506–10. http://dx.doi.org/10.12955/cbup.v3.645.
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Search engine optimization techniques, often shortened to “SEO,” should lead to first positions in organic search results. Some optimization techniques do not change over time, yet still form the basis for SEO. However, as the Internet and web design evolves dynamically, new optimization techniques flourish and flop. Thus, we looked at the most important factors that can help to improve positioning in search results. It is important to emphasize that none of the techniques can guarantee high ranking because search engines have sophisticated algorithms, which measure the quality of webpages and derive their position in search results from it. Next, we introduced and examined the object of the optimization, which is a particular website. This web site was created for the sole purpose of implementing and testing all the main SEO techniques. The main objective of this article was to determine whether search engine optimization increases ranking of website in search results and subsequently leads to higher traffic. This research question is supported by testing and verification of results. The last part of our article concludes the research results and proposes further recommendations.
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Yuan, Zong, Taotao Zhou, Jie Liu, Changhe Zhang, and Yong Liu. "Fault Diagnosis Approach for Rotating Machinery Based on Feature Importance Ranking and Selection." Shock and Vibration 2021 (February 3, 2021): 1–17. http://dx.doi.org/10.1155/2021/8899188.
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The key to fault diagnosis of rotating machinery is to extract fault features effectively and select the appropriate classification algorithm. As a common signal decomposition method, the effect of wavelet packet decomposition (WPD) largely depends on the applicability of the wavelet basis function (WBF). In this paper, a novel fault diagnosis approach for rotating machinery based on feature importance ranking and selection is proposed. Firstly, a two-step principle is proposed to select the most suitable WBF for the vibration signal, based on which an optimized WPD (OWPD) method is proposed to decompose the vibration signal and extract the fault information in the frequency domain. Secondly, FE is utilized to extract fault features of the decomposed subsignals of OWPD. Thirdly, the categorical boosting (CatBoost) algorithm is introduced to rank the fault features by a certain strategy, and the optimal feature set is further utilized to identify and diagnose the fault types. A hybrid dataset of bearing and rotor faults and an actual dataset of the one-stage reduction gearbox are utilized for experimental verification. Experimental results indicate that the proposed approach can achieve higher fault diagnosis accuracy using fewer features under complex working conditions.
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Garritsen, C., E. Van Marle-Köster, M. A. Snyman, and C. Visser. "The impact of DNA parentage verification on breeding value estimation and sire ranking in South African Angora goats." Small Ruminant Research 124 (March 2015): 30–37. http://dx.doi.org/10.1016/j.smallrumres.2015.01.008.
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Kochovski, Petar, Pavel D. Drobintsev, and Vlado Stankovski. "Formal Quality of Service assurances, ranking and verification of cloud deployment options with a probabilistic model checking method." Information and Software Technology 109 (May 2019): 14–25. http://dx.doi.org/10.1016/j.infsof.2019.01.003.
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Hjörleifsson Eldjárn, Grímur, Andrew Ramsay, Justin J. J. van der Hooft, Katherine R. Duncan, Sylvia Soldatou, Juho Rousu, Rónán Daly, Joe Wandy, and Simon Rogers. "Ranking microbial metabolomic and genomic links in the NPLinker framework using complementary scoring functions." PLOS Computational Biology 17, no. 5 (May 4, 2021): e1008920. http://dx.doi.org/10.1371/journal.pcbi.1008920.
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Specialised metabolites from microbial sources are well-known for their wide range of biomedical applications, particularly as antibiotics. When mining paired genomic and metabolomic data sets for novel specialised metabolites, establishing links between Biosynthetic Gene Clusters (BGCs) and metabolites represents a promising way of finding such novel chemistry. However, due to the lack of detailed biosynthetic knowledge for the majority of predicted BGCs, and the large number of possible combinations, this is not a simple task. This problem is becoming ever more pressing with the increased availability of paired omics data sets. Current tools are not effective at identifying valid links automatically, and manual verification is a considerable bottleneck in natural product research. We demonstrate that using multiple link-scoring functions together makes it easier to prioritise true links relative to others. Based on standardising a commonly used score, we introduce a new, more effective score, and introduce a novel score using an Input-Output Kernel Regression approach. Finally, we present NPLinker, a software framework to link genomic and metabolomic data. Results are verified using publicly available data sets that include validated links.
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Said, Basem A. S., and Nikita A. Pchelin. "MODIFICATION OF THE METHOD OF EVALUATING SOFT SOLUTIONS OF SYMBOLS AND ITS VERIFICATION." Автоматизация процессов управления 1, no. 67 (2022): 60–67. http://dx.doi.org/10.35752/1991-2927-2022-1-67-60-67.
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To implement permutation decoding (PD), the soft symbol decisions (MSDs) are required for each element of the codeword processed by the decoder. Similar solutions are required for both binary codes and non-binary code structures [1-4]. In [5], it was shown that for binary codes it is advisable to have a maximum score equal to 710. It should be noted that the author of [5], when using integer MRS for convolutional codes, did not mean the PD method, in which it is necessary to rank symbols by reliability over the length of the code vector. The paper proves that this practice of forming the MRS turns out to be inefficient for most communication channels with additive white Gaussian noise (AWGN). It is proposed to lower the value of the index of the maximum estimate of the MPC to the value of 310 or 112 . This will halve the symbol ranking time, which improves the performance of the data receiver processors. A rigorous probabilistic estimate of the proposed approach is given.
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Stoilova, Svetla. "A New Aggregated Multi-Criteria Approach for Evaluation of the Autonomous Metro Systems’ Performance in the European Countries." Symmetry 14, no. 10 (September 27, 2022): 2025. http://dx.doi.org/10.3390/sym14102025.
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The present study aims to create groups of symmetrical autonomous metro lines that are united by common features. An integrated six-step methodology which proposes a new aggregated approach for multi-criteria evaluation of fully autonomous metro systems was proposed. The first step determines the criteria to assess the autonomous metro system. Eight criteria connected to the safety, infrastructural and technological development of the autonomous metro system were chosen. In the second step, 20 fully autonomous metro systems in European countries were selected as alternatives. The determination of the criteria weights was performed in the third step based on objective, subjective and combined approaches. For this purpose, the Shannon Entropy method and BWM (Best Worst method) were applied. The fourth step presents the ranking of the autonomous metro system by using multi-criteria methods. Three approaches were studied: distance-based, utility-based and outranking approaches. The distance-based approach includes the TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution) and EDAS (Evaluation Based on Distance from Average Solution) methods; the utility-based approach includes MOORA (Multi-Objective Optimization on the Basis of Ratio Analysis) and COPRAS (COmplex PRoportional Assessment) methods; the outranking approach includes the PROMETHEE (Preference Ranking Organization METHod for Enrichment of Evaluations) method. The final ranking based on the new aggregative approach was carried out in the fifth step. Thus, Laplace’s criterion was applied to the final ranking. The Hurwitz’s criterion was used to verify the results. In the sixth step, the verification of the results was performed by applying cluster analysis. In was found that Line 1 in Paris is the best. Line 14 in Paris and Line D in Lyon were ranking in the second and third position, respectively. The autonomous metro in Brescia, Line C in Rome, and Line M2 in Lausanne were placed at the end of the ranking. Finally, four clearly formed groups of autonomous metro were proposed. The novelty of this study and its main advantage entails the elaboration of a new aggregated approach of multi-criteria methods, evaluation of the autonomous metro systems’ performance and determination for the groups of symmetrical autonomous lines in European countries.
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Birhiray, Maya Nicole, and Ruemu Ejedafeta Birhiray. "Creating diversity, equity, inclusion, and access in cancer clinical research: Drive rank and Drive score." Journal of Clinical Oncology 40, no. 16_suppl (June 1, 2022): e13636-e13636. http://dx.doi.org/10.1200/jco.2022.40.16_suppl.e13636.
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e13636 Background: The inequalities in improving cancer mortality rates in the United States can be ascribed to treatment disparities that are largely due to unequal access to clinical trials in cancer care, resulting in adverse clinical and economic effects. D.R.I.V.E is a five-step strategy for promoting and improving DEIA in clinical trials for minority patients based on the following steps. Methods: Appointing a clinical trial Diversity Officer, creating a RANK SCORE based on minority enrollment, Individual diversity plan, Verification of study diversity, and Elevate and Enhanced training of minority investigators and research team members. Results: Global Performance Indicators (GPIs), which rate and rank states relative to one another, shape decisions. Rankings should be reported by authors and required for publication in peer-reviewed journals and should be included in journal impact factor assessment. Conclusions: DRIVE aims to use these strategies to correct inequalities and promote the overall health of mankind, using proven principles and techniques to create meaningful improvements in cancer care and outcomes. DRIVE RANK), based on the achievement of minority participant representation relative to the epidemiology of disease, is an informational tool to evaluate DEIA efforts and provide a readily accessible measurement of the applicability of clinical data to all patient subgroups with the potential to force positive changes to promote DEIA and the health of mankind. We propose a ranking of 0-5 for diversity (Table). Establish a corporate ranking system (DRIVE SCORE) based on the diversity of clinical data from the totality of studies of the company to inform the choice of ethical investors. Studies will be ranked at the next lower rank if all criteria for next higher rank are not reached.[Table: see text]
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Birhiray, Maya Nicole, and Ruemu Ejedafeta Birhiray. "Creating diversity, equity, inclusion, and access in cancer clinical research: Drive rank and Drive score." Journal of Clinical Oncology 40, no. 16_suppl (June 1, 2022): e13636-e13636. http://dx.doi.org/10.1200/jco.2022.40.16_suppl.e13636.
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e13636 Background: The inequalities in improving cancer mortality rates in the United States can be ascribed to treatment disparities that are largely due to unequal access to clinical trials in cancer care, resulting in adverse clinical and economic effects. D.R.I.V.E is a five-step strategy for promoting and improving DEIA in clinical trials for minority patients based on the following steps. Methods: Appointing a clinical trial Diversity Officer, creating a RANK SCORE based on minority enrollment, Individual diversity plan, Verification of study diversity, and Elevate and Enhanced training of minority investigators and research team members. Results: Global Performance Indicators (GPIs), which rate and rank states relative to one another, shape decisions. Rankings should be reported by authors and required for publication in peer-reviewed journals and should be included in journal impact factor assessment. Conclusions: DRIVE aims to use these strategies to correct inequalities and promote the overall health of mankind, using proven principles and techniques to create meaningful improvements in cancer care and outcomes. DRIVE RANK), based on the achievement of minority participant representation relative to the epidemiology of disease, is an informational tool to evaluate DEIA efforts and provide a readily accessible measurement of the applicability of clinical data to all patient subgroups with the potential to force positive changes to promote DEIA and the health of mankind. We propose a ranking of 0-5 for diversity (Table). Establish a corporate ranking system (DRIVE SCORE) based on the diversity of clinical data from the totality of studies of the company to inform the choice of ethical investors. Studies will be ranked at the next lower rank if all criteria for next higher rank are not reached.[Table: see text]
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Zhou, Ping, Jing Jing Ke, Xin Xing Jing, and Zhao Guo Cui. "Study on Characteristic Parameters of Speech Anti-Deliberate Imitation System." Applied Mechanics and Materials 475-476 (December 2013): 388–93. http://dx.doi.org/10.4028/www.scientific.net/amm.475-476.388.
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Deliberate imitation which is the reproduction of another speakers voice and speech behavior can pose a threat to the security of the voice authentication system. Therefore effective characteristic parameters are the key to the anti-deliberate imitation. The study chose speech database of anti-deliberate imitation and investigated some common feature parameters separating capacity and descriptive power against voice deliberate imitation. The study compared the ranking of subjective evaluation and feature parameters Euclidean distance of imitators. The comparison results indicate that Mel frequency cepstrum coefficient (MFCC) combined with its differential cepstrum parameters (WMFCC) have the best performance for anti-deliberate imitation. And the results were validated by the experiment based on VQ speaker verification system.
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Mano, Yoshiro, and Kazuyoshi Takeda. "Accurate evaluation and verification of varietal ranking for flooding tolerance at the seedling stage in barley (Hordeum vulgare L.)." Breeding Science 62, no. 1 (2012): 3–10. http://dx.doi.org/10.1270/jsbbs.62.3.
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Baydaş, Mahmut. "The effect of pandemic conditions on financial success rankings of BIST SME industrial companies: a different evaluation with the help of comparison of special capabilities of MOORA, MABAC and FUCA methods." Business & Management Studies: An International Journal 10, no. 1 (March 26, 2022): 245–60. http://dx.doi.org/10.15295/bmij.v10i1.1997.
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Considering COVID-19 pandemic conditions from an MCDM perspective, the change in the ranking positions of the companies before and during the pandemic conditions has become more critical for many researchers and especially financial decision-makers. In this study, different from other studies, a new methodological procedure was followed. For the first time, an MCDM method was chosen among the alternatives with an objective point of view, and the application was continued. In other words, the final performance evaluation is based on the results of this chosen method. In the first step, the financial performance of companies traded in the BIST SME Industry, which is the application area of the study, was calculated with three different MCDM methods (MOORA, MABAC and FUCA). In the second step, the ranking correlations between the calculated financial performance scores and the stock return in the current period were compared with the Spearman method. Finally, in the third step, based on this indirect objective reference verification result (as it is the most appropriate and successful), the necessary financial analyzes were made with the FUCA method. According to the findings, the FUCA method correlated higher with the stock return before and during the pandemic than the other MCDM methods. According to these results, when a performance comparison is made between before and during pandemic conditions, three changes become prominent: the most successful companies, the companies' overall ranking, and the favourite sectors have entirely changed for the base periods. This innovative procedure has been proposed for the first time in the literature and has been successfully applied.
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Othman, Mohamad Khairi, Mohd Faiz Mohd Yaakob, Normah Zakaria, and Shuhairimi Abdullah. "EXPERT VERIFICATION FOR THE INSTRUMENT OF SYAJA'AH CONSTRUCT TOWARDS SECONDARY SCHOOL STUDENTS' OUTCOME." International Journal of Education, Psychology and Counseling 7, no. 47 (September 5, 2022): 313–26. http://dx.doi.org/10.35631/ijepc.747027.
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At present, too many questions arise regarding the assessment of student and educational outcomes. Educational assessment in the country today focuses more on the academic achievement of students which ignores other developments. Therefore, this study aimed to get expert views and concensus on the indicator of student outcome based on Ibn Miskawayh's theory in the mission of shaping students according to the true Islamic mold especially in the aspect of As-Syaja’ah. This study employ Fuzzy Delphi method using a 7 Likert scale to collect responses of 15 experts in various fields of education at public universities and government sector in Malaysia. A total of 20 item questionnaire was given to experts for evaluation. Fuzzy Delphi method was used for data analysis. Data were analyzed using triangular fuzzy numbering (triangular fuzzy number) and position (ranking) of each variable is determined using the 'defuzzication' process. The findings show that, response and expert consensus on the factors that lead to academic dishonesty are at a good level. The overall findings of the expert consensus agreement exceeds 75%, the overall value of the threshold (d) <0.2 and a α-cut exceeds 0.5.The priority factors were sorted by priority and were refined by adding and dropping item as recommended by experts.
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Chung, Hsiang-Yu, and Kuei-Hu Chang. "A Novel General Data Envelopment Analysis Based Approach for MCDM Issues of Hydrogen Energy under a Fuzzy Environment." Systems 10, no. 5 (October 1, 2022): 176. http://dx.doi.org/10.3390/systems10050176.
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Multi-criteria decision-making (MCDM) issues related to hydrogen energy usually involve weight consideration of evaluation criteria, ambiguous evaluation information provided by experts, and lacking or incomplete evaluation information. Conventionally, the MCDM calculation method cannot effectively and simultaneously process evaluation information. To effectively address this issue, this study proposed a novel general data envelopment analysis (DEA)-based approach for MCDM issues of hydrogen energy under a fuzzy environment. The proposed general DEA-based approach integrates the typical DEA method, analytic hierarchy process (AHP) method, hesitant fuzzy linguistic term set (HFLTS), and the soft set to process the MCDM problems under a fuzzy environment. For the numerical verification, this study used the case of hydrogen energy key technologies ranking, as an important development reference for carbon reduction to further verify the correctness and reasonableness of the proposed approach. The calculation results were also compared with those from the typical DEA method, typical AHP/DEA method, and the fuzzy AHP/DEA method. The numerical verification results show that the proposed method can effectively process the MCDM problems under a fuzzy environment than listing different calculation methods.
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Yang, Guang, Wen Jie Huang, and Lin Li Lei. "Using AHP and TOPSIS Approaches in Nuclear Power Plant Equipment Supplier Selection." Key Engineering Materials 419-420 (October 2009): 761–64. http://dx.doi.org/10.4028/www.scientific.net/kem.419-420.761.
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Comparing with others, the supply chain of nuclear power plant (NPP) has its special characteristics, which not only on product safety, but also on the life cycle of supplier as well as requirement of environment, the selection of the appropriate supplier requires independent evaluation index system. For these reasons, based on establishing an evaluation index system, an integrated framework is proposed to approach the supplier selection problem in NPP supply chain systems utilizing analytical hierarchy process (AHP) and improved technique for order preference by similarity to ideal solution (TOPSIS). Then the ranking of the suppliers are determined according to their results. Finally, for application and verification, an empirical study is performed to demonstrate the integrated model and identify the suitable supplier(s).
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Lu, Haonan, Yongman Zhao, Xue Zhou, and Zikai Wei. "Selection of Agricultural Machinery Based on Improved CRITIC-Entropy Weight and GRA-TOPSIS Method." Processes 10, no. 2 (January 28, 2022): 266. http://dx.doi.org/10.3390/pr10020266.
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In view of the problems existing in the process of agricultural machinery selection, such as inadequate decision-making information, strong subjectivity and quantification difficulty of the index weight assignment, and accuracy deficiency of the selection results, a model on the selection of agricultural machinery based on the improved CRITIC-entropy weight and GRA-TOPSIS method was established in this study. Through analysis, based on the construction of a comprehensive evaluation index system for the selection of agricultural machinery, the combined weight value was determined by combining the weights obtained using the improved CRITIC method and the weights obtained using the entropy weight method. The grey relational analysis method was also combined with the TOPSIS method. The power machinery combination with 88.2 and 73.5 kW of the 68th Regiment of the Fourth Division of Xinjiang Production and Construction Corps was used as an example for verification to determine the optimal power machinery combination. Results indicated that the ranking results were consistent, and the GRA-TOPSIS method was of the greatest degree of discrimination, which was conducive to the selection and evaluation of agricultural machinery equipment. Moreover, the equipment selection results were determined after the comprehensive ranking of machinery types under the different subjective preferences of decision makers was performed.
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Yang, Wenguang. "Ingenious Solution for the Rank Reversal Problem of TOPSIS Method." Mathematical Problems in Engineering 2020 (January 30, 2020): 1–12. http://dx.doi.org/10.1155/2020/9676518.
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Although the classic TOPSIS method is very practical, there may be a problem of rank reversal in the addition, deletion, or replacement of the candidate set, which makes its credibility greatly compromised. Based on the understanding of the classical TOPSIS method, this paper establishes a new improved TOPSIS method called NR-TOPSIS. Firstly, the historical maximum and minimum values of all attribute indicators from a global perspective during the evaluation process are determined. Secondly, according to whether the attributes belong to the benefit attribute or cost attribute, standardization is carried out. And then, in the case where the historical values of attributes are determined, we re-fix the positive ideal solution and the negative ideal solution. At the same time, this paper gives the definition of ranking stable and proves that the NR-TOPSIS proposed satisfies ranking stable, which theoretically guarantees that the rank reversal phenomenon does not exist. Finally, in the verification of examples, the results are consistent with the theoretical analysis, which further support the theoretical analysis. The NR-TOPSIS method overcomes rank reversal, which is not only obviously superior to the classical TOPSIS method but also relatively superior to the R-TOPSIS method which has also overcome rank reversal. It is also superior to other reference methods due to its simple calculation.