scholarly journals The study and comparison of one-dimensional kernel estimators – a new approach. Part 2. A hydrology case study

2018 ◽  
Vol 23 ◽  
pp. 00018
Author(s):  
Maciej Karczewski ◽  
Andrzej Michalski
Keyword(s):  
Empirical Data ◽  
Distance Measure ◽  
Kernel Estimation ◽  
Kernel Estimators ◽  
New Approach ◽  
One Dimensional ◽  
Optimal Smoothing ◽  
Selection Of

The main purpose of this article is to present the numerical consequences of selected methods of kernel estimation, using the example of empirical data from a hydrological experiment [1, 2]. In the construction of kernel estimators we used two types of kernels – Gaussian and Epanechnikov – and several methods of selecting the optimal smoothing bandwidth (see Part 1), based on various statistical and analytical conditions [3–6]. Further analysis of the properties of kernel estimators is limited to eight characteristic estimators. To assess the effectiveness of the considered estimates and their similarity, we applied the distance measure of Marczewski and Steinhaus [7]. Theoretical and numerical considerations enable the development of an algorithm for the selection of locally most effective kernel estimators.

scholarly journals A New Approach to the Concepts of Conservation to Identify and Evaluate Railway Heritage through Indicators

2020 ◽  
Vol 14 (1) ◽  
pp. 183-195
Author(s):  
Breno Albuquerque B. Borges
Keyword(s):  
Cultural Heritage ◽  
Assessment Tools ◽  
Cultural Significance ◽  
Contemporary Theory ◽  
Cultural Goods ◽  
New Approach ◽  
Doctoral Research ◽  
Methodological Reflection ◽  
Selection Of

AbstractThe wide railway universe, with its particular and peculiar characteristics, requires the implementation of criteria to improve the identification and conservation of cultural goods. Recently concepts of authenticity, integrity and cultural significance have been identified as fundamental in the selection of the cultural heritage of humanity. Although we find these concepts being analyzed in theory as independents, through a theoretical-methodological reflection, this PhD research argues that, in practice, they are interconnected, and therefore should be approached together. Following the contemporary theory of conservation, my doctoral research aims at contributing to the conservation of railways’ heritage using this new approach, by proposing new indicators as assessment tools so that conservation institutions will be able to identify railway goods as cultural heritage. The research uses the Railway Complex of Barreiro, in Portugal, as a case study.

scholarly journals The study and comparison of one-dimensional kernel estimators – a new approach. Part 1. Theory and methods

2018 ◽  
Vol 23 ◽  
pp. 00017
Author(s):  
Maciej Karczewski ◽  
Andrzej Michalski
Keyword(s):  
Experimental Data ◽  
Distance Measure ◽  
Land Reclamation ◽  
Gaussian Kernel ◽  
Kernel Estimators ◽  
Density Estimates ◽  
New Approach ◽  
Kernel Density Estimates ◽  
Integrable Functions ◽  
Local Properties

In this article we compare and examine the effectiveness of different kernel density estimates for some experimental data. For a given random sample X1, X2, …, Xn we present eight kernel estimators fn of the density function f with the Gaussian kernel and with the kernel given by Epanechnikov [1] using several methods: Silverman’s rule of thumb, the Sheather–Jones method, cross-validation methods, and other better-known plug-in methods [2–5]. To assess the effectiveness of the considered estimators and their similarity, we applied a distance measure for measurable and integrable functions [6]. All numerical calculations were performed for a set of experimental data recording groundwater level at a land reclamation facility (cf. [7–8]). The goal of the paper is to present a method that allows the study of local properties of the examined kernel estimators.

AN IDENTIFICATION APPROACH OF TECHNICALLY EFFICIENT CATEGORY FOR CONTROLLABLE, CATEGORICAL FACTORS IN PRODUCTION AND AN APPLICATION TO A PRODUCTION PROCESS

2013 ◽  
Vol 30 (05) ◽  
pp. 1350012
Author(s):  
SEUNG-MIN SONG ◽  
TAEHO KIM ◽  
JAE-GON KIM ◽  
JANGHA KANG
Keyword(s):  
Resource Management ◽  
Production Process ◽  
Empirical Data ◽  
New Approach ◽  
Soybean Production ◽  
Empirical Application ◽  
Identification Approach ◽  
Substantial Heterogeneity ◽  
Selection Of ◽  
Agricultural Resource Management Survey

This paper suggests a new DEA-based approach to the identification of the efficient category value for controllable categorical factors when controllable categorical factors are involved in the DMU's production process. Though the main objective of this approach is to identify the efficient category value for nonhierarchical categorical factors, it can also be employed to identify the efficient category value for hierarchical categorical factors without any large adjustment. This new approach is applied to an empirical data from an Agricultural Resource Management Survey for soybean production in Pennsylvania. The result of the empirical application illustrates how our approach leads us to the efficient category value of categorical factors by using both radial measure and nonradial measure. Moreover, it shows us the existence of substantial heterogeneity in the use of categorical factors and the opportunity of improvement in DMUs' selection of category value for categorical factors.

scholarly journals MULTI-CRITERIA MODEL BASED ON LINGUISTIC NEUTROSOPHIC NUMBERS: THE SELECTION OF UNMANNED AIRCRAFT

2020 ◽  
Vol 14 (1) ◽  
Author(s):  
Goran Ćirović ◽  
Dragan Pamučar ◽  
Nataša Popović-Miletić
Keyword(s):  
Decision Making ◽  
Forest Fires ◽  
Unmanned Aircraft ◽  
Decision Makers ◽  
New Approach ◽  
Complex Decision Making ◽  
Complex Decision ◽  
Linguistic Neutrosophic Numbers ◽  
Selection Of

The paper presents a new approach in treating uncertainty and subjectivity in the decision making process based on the modification of Multi Attributive Border Approximation area Comparison (MABAC) and an Objective-Subjective (OS) model by applying linguistic neutrosophic numbers (LNN) instead of traditional numerical values. By integrating these models with linguistic neutrosophic numbers it was shown that it is possible to a significant extent to eliminate subjective qualitative assessments and assumptions by decision makers in complex decision-making conditions. On this basis, a new hybrid LNN OS-MABAC model was formed. This model was tested and validated on a case-study of the selection of optimal unmanned aircraft intended to combat forest fires.

scholarly journals Application of interval valued fuzzy-rough numbers in multi-criteria decision making: The IVFRN-MAIRCA model

2019 ◽  
Vol 29 (2) ◽  
pp. 221-247 ◽  
Author(s):  
Dragan Pamucar ◽  
Goran Cirovic ◽  
Darko Bozanic
Keyword(s):  
Decision Making ◽  
Sensitivity Analysis ◽  
High Stability ◽  
Multi Criteria Decision Making ◽  
Analysis Method ◽  
New Approach ◽  
The Given ◽  
Interval Valued ◽  
Selection Of

This paper presents a new approach for the treatment of uncertainty and imprecision based on interval-valued fuzzy-rough numbers (IVFRNs). IVFRNs make a decision making possible using only the internal knowledge from the data, using objective indeterminacy without the need to rely on models of any assumption. Namely, instead of subjectively entering external uncertainties, the structure of the given data is used. Taking into account the given assumptions, we developed an original multi-criteria model based upon the IVFR approach. In the multi-criteria model the traditional MAIRCA (Multi-Attribute Ideal-Real Comparative Analysis) method was modified. The model was tested and validated on a case study, considering selection of the optimal landing operations point for overcoming water obstacles. The sensitivity analysis of the IVFRN MAIRCA model was carried out through 24 scenarios which showed that our results are of a high stability degree.

Linguistic support for concept selection decisions

2007 ◽  
Vol 21 (2) ◽  
pp. 123-135 ◽  
Author(s):  
J. DELIN ◽  
S. SHAROFF ◽  
S. LILLFORD ◽  
C. BARNES
Keyword(s):  
Selection Process ◽  
Reduction Process ◽  
Industrial Case Study ◽  
New Approach ◽  
Linguistic Support ◽  
Selection Decisions ◽  
Consumer Reactions ◽  
Laundry Product ◽  
Selection Of

Affective engineering is being increasingly used to describe a systematic approach to the analysis of consumer reactions to candidate designs. It has evolved from Kansei engineering, which has reported improvements in products such as cars, electronics, and food. The method includes a semantic differential experiment rating candidate designs against bipolar adjectives (e.g., attractive–not attractive, traditional–not traditional). The results are statistically analyzed to identify correlations between design features and consumer reactions to inform future product developments. A number of key challenges emerge from this process. Clearly, suitable designs must be available to cover all design possibilities. However, it is also paramount that the best adjectives are used to reflect the judgments that participants might want to make. The current adjective selection process is unsystematic, and could potentially miss key concepts. Poor adjective choices can result in problems such as misinterpretation of an experimental question, clustering of results around a particular response, and participants' confusion from unfamiliar adjectives that can be difficult to consider in the required context (e.g., is this wristwatch “oppressive”?). This paper describes an artificial intelligence supported process that ensures adjectives with appropriate levels of precision and recall are developed and presented to participants (and thus addressing problems above) in an affective engineering study in the context of branded consumer goods. We illustrate our description of the entire concept expansion and reduction process by means of an industrial case study in which participants were asked to evaluate different designs of packaging for a laundry product. The paper concludes by describing the important advantages that can be gained by the new approach in comparison with previous approaches to the selection of consumer focused adjectives.

Topik-Topik Komunikasi Dakwah Dalam Mesej Akidah Kepada Masyarakat Orang Asli di Selangor

Sains Insani ◽  
2018 ◽  
Vol 3 (2) ◽  
pp. 15-21
Author(s):  
Zulkefli Aini ◽  
Abdul Ghafar Don ◽  
Ahmad Irdha Mokhtar ◽  
Nur Uswah Ahmad Fauzi
Keyword(s):  
Qualitative Study ◽  
Study Design ◽  
Verbal Feedback ◽  
Structured Interviews ◽  
Orang Asli ◽  
Case Study Design ◽  
Beliefs And Practice ◽  
Islamic Faith ◽  
Selection Of

One of the factors that can affect a person's behavior is a communication message. In the context of the da`wah, preachers who involved actively in da`wah communication with the Orang Asli should be able to ensure that the message conveyed can be understood by the target group. In addition, the selection of the correct messages of da`wah based on the foremost priority simplify the process of sharing information between the preachers and the Orang Asli. Accordingly, this article aims to identify specific topics of Islamic faith (akidah) submitted by the Orang Asli in the process of da`wah communication and to identify verbal feedback given by the preachers to the Orang Asli of the topics. This qualitative study using case study design and data was collected through semi-structured interviews. Interviews involving nine preachers were active in da`wah activity to the Orang Asli community in Selangor. Data were analyzed thematically according to the specified objectives. The study found that the topics frequently raised by the Orang Asli is concerned about belief in Allah, belief in Malaikat, and belief in Qada' and Qadar. The topics may be found within the framework of worldview in their beliefs and practice of ancient traditions. Therefore, the preachers gave verbal feedback on these topics is based on a clear and precise sample corresponding to the level of their thinking. The emphasis on these topics is very important to strengthen and purify the faith of the community.Keywords: Communication; Message; Preacher; Indigenous community Abstrak: Elemen mesej dalam komunikasi merupakan salah satu faktor yang dapat memberi kesan terhadap perubahan tingkah laku seseorang. Dalam konteks dakwah, pendakwah yang terlibat dalam proses komunikasi dakwah dengan Orang Asli seharusnya berkebolehan memastikan kandungan mesej yang disampaikan boleh difahami oleh sasaran dakwahnya. Di samping itu, pemilihan mesej dakwah yang betul mengikut keutamaan memudahkan proses perkongsian maklumat antara pendakwah dengan Orang Asli. Sehubungan dengan itu, artikel ini bertujuan untuk mengenalpasti topik-topik tertentu dalam mesej akidah yang dikemukakan oleh masyarakat Orang Asli kepada pendakwah dan mengenalpasti maklum balas lisan yang diberikan oleh pendakwah kepada Orang Asli terhadap topik tersebut. Kajian kualitatif ini menggunakan reka bentuk kajian kes dengan pengumpulan data melalui temu bual separa struktur. Temu bual melibatkan sembilan orang pendakwah yang aktif dalam aktiviti dakwah masyarakat Orang Asli di Selangor. Data kajian dianalisis secara tematik mengikut objektif yang ditentukan. Kajian ini mendapati bahawa topik-topik yang sering dikemukan oleh Orang Asli kepada pendakwah dalam penyampaian mesej akidah ialah berkenaan tentang keimanan kepada Allah SWT, keimanan kepada malaikat, dan keimanan kepada qada’ dan qadar. Topik-topik berkenaan didapati berada dalam kerangka worldview kepercayaan dan amalan tradisi mereka. Sehubungan dengan itu, pendakwah memberikan maklum balas lisan terhadap topik-topik tersebut adalah berdasarkan keterangan yang jelas dan contoh yang tepat bersesuaian dengan tahap pemikiran mereka. Penekanan terhadap topik-topik tersebut merupakan perkara yang penting dalam rangka mengukuhkan dan memurnikan akidah masyarakat Orang Asli.Kata kunci: Komunikasi; Mesej; Pendakwah; Komuniti Orang Asli

Feature selection of the armature winding broken coils in synchronous motor using genetic algorithm and mahalanobis distance

2012 ◽  
Vol 57 (3) ◽  
pp. 829-835 ◽  
Author(s):  
Z. Głowacz ◽  
J. Kozik
Keyword(s):  
Genetic Algorithm ◽  
Feature Selection ◽  
Mahalanobis Distance ◽  
Distance Measure ◽  
Synchronous Motor ◽  
Medical Diagnostics ◽  
Motor Current ◽  
Feature Spaces ◽  
Multidimensional Feature Spaces ◽  
Selection Of

The paper describes a procedure for automatic selection of symptoms accompanying the break in the synchronous motor armature winding coils. This procedure, called the feature selection, leads to choosing from a full set of features describing the problem, such a subset that would allow the best distinguishing between healthy and damaged states. As the features the spectra components amplitudes of the motor current signals were used. The full spectra of current signals are considered as the multidimensional feature spaces and their subspaces are tested. Particular subspaces are chosen with the aid of genetic algorithm and their goodness is tested using Mahalanobis distance measure. The algorithm searches for such a subspaces for which this distance is the greatest. The algorithm is very efficient and, as it was confirmed by research, leads to good results. The proposed technique is successfully applied in many other fields of science and technology, including medical diagnostics.

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