scholarly journals Horses’ Senses Involvement in Food Location and Selection

2019 ◽  
Vol 76 (2) ◽  
pp. 94
Author(s):  
Carla Andreea CULDA ◽  
Alexandru Nicolae STERMIN
Keyword(s):  
Selection Process ◽  
Olfactory Organ ◽  
Food Location ◽  
Pink Color ◽  
Selection Of

Senses are an important part of the interaction with the environment. Previous studies has been established that horses use smell and taste in the selection of their food. The involvement of sight in the selection process has not been clarified up to this study. Here, we investigate the involvement of senses in the selection process of food, also the proportion in which, each senses are involved and we evaluate the horses preferences for different colors. Two experiments have been designed and carried out with two racing horses The results obtained have demonstrated that the sight is the main sense in the location of the food, followed by the sense of olfactory organ involved in selecting plants ingested and the sense of taste which contributes less to the selection. There has also been identified a preference of the envolved horses for the pink color used in this experiment.

IMPLEMENTASI PENENTUAN ARSITEKTUR MASJID MODERN DI ACEH MENGGUNAKAN PEMODELAN SISTEM CERDAS

2018 ◽  
Vol 2 (1) ◽  
Author(s):  
Soraya Masthura Hasan ◽  
T Iqbal Faridiansyah
Keyword(s):  
Fuzzy Inference System ◽  
Architectural Design ◽  
Fuzzy Inference ◽  
Intelligent System ◽  
Selection Process ◽  
System Modeling ◽  
Inference System ◽  
Normal Limits ◽  
Roof Structure ◽  
Selection Of

Mosque architectural design is based on Islamic culture as an approach to objects and products from the Islamic community by looking at their suitability and values and basic principles of Islam that explore more creative and innovative ideas. The purpose of this system is to help the team and the community in seeing the best mosque in the top order so that the system can be used as a reference for the team and the community. The variables used in the selection of modern mosques include facilities and infrastructure, building structure, roof structure, mosque area, level of security and facilities. The system model used is a fuzzy promethee model that is used for the modern mosque selection process. Fuzzy inference assessment is used to determine the value of each variable so that the value remains at normal limits. Fuzzy values will then be included in promethee assessment aspects. The highest promethee ranking results will be made a priority for the best mosque ranking. This fuzzy inference system and promethee system can help the management team and the community in determining the selection of modern mosques in aceh in accordance with modern mosque architecture. Intelligent System Modeling System In Determining Modern Mosque Architecture in the City of Aceh, this building will be web based so that all elements of society can see the best mosque in Aceh by being assessed by all elements of modern mosque architecture.Keywords: Fuzzy inference system, Promethe, Option of  Masjid

scholarly journals Optimising the selection of food items for FFQs using Mixed Integer Linear Programming

2014 ◽  
Vol 18 (1) ◽  
pp. 68-74 ◽  
Author(s):  
Johanna C Gerdessen ◽  
Olga W Souverein ◽  
Pieter van ‘t Veer ◽  
Jeanne HM de Vries
Keyword(s):  
Linear Programming ◽  
Integer Linear Programming ◽  
Mixed Integer Linear Programming ◽  
Selection Process ◽  
Saturated Fat ◽  
Mixed Integer ◽  
Monounsaturated Fat ◽  
Food Items ◽  
Milp Model ◽  
Selection Of

AbstractObjectiveTo support the selection of food items for FFQs in such a way that the amount of information on all relevant nutrients is maximised while the food list is as short as possible.DesignSelection of the most informative food items to be included in FFQs was modelled as a Mixed Integer Linear Programming (MILP) model. The methodology was demonstrated for an FFQ with interest in energy, total protein, total fat, saturated fat, monounsaturated fat, polyunsaturated fat, total carbohydrates, mono- and disaccharides, dietary fibre and potassium.ResultsThe food lists generated by the MILP model have good performance in terms of length, coverage and R2 (explained variance) of all nutrients. MILP-generated food lists were 32–40 % shorter than a benchmark food list, whereas their quality in terms of R2 was similar to that of the benchmark.ConclusionsThe results suggest that the MILP model makes the selection process faster, more standardised and transparent, and is especially helpful in coping with multiple nutrients. The complexity of the method does not increase with increasing number of nutrients. The generated food lists appear either shorter or provide more information than a food list generated without the MILP model.

Research on Material Selection with Multi-Attribute Decision Method and G1 Method

2014 ◽  
Vol 952 ◽  
pp. 20-24 ◽  
Author(s):  
Xue Jun Xie
Keyword(s):  
Material Selection ◽  
Selection Process ◽  
Selection Problem ◽  
Topsis Method ◽  
Attribute Weight ◽  
Multi Attribute Decision Making ◽  
Judgment Matrix ◽  
Optimal Material ◽  
Selection Of ◽  
Better Than

The selection of an optimal material is an important aspect of design for mechanical, electrical, thermal, chemical or other application. Many factors (attributes) need to be considered in material selection process, and thus material selection problem is a multi-attribute decision making (MADM) problem. This paper proposes a new MADM method for material selection problem. G1 method does not need to test consistency of the judgment matrix. Thus it is better than AHP. In this paper, firstly, we use the G1 method to determine the attribute weight. Then TOPSIS method is used to calculate the closeness of the candidate materials with respect positive solution. A practical material selection case is used to demonstrate the effectiveness and feasibility of the proposed method.

Does Audit Committee Disclosure of Partner-Selection Involvement Signal Greater Audit Quality?

2021 ◽  
Author(s):  
Jimmy F. Downes ◽  
Michelle A. Draeger ◽  
Abbie E. Sadler
Keyword(s):  
Audit Committee ◽  
Audit Quality ◽  
Selection Process ◽  
Partner Selection ◽  
Analyst Forecasts ◽  
Securities And Exchange Commission ◽  
Audit Committees ◽  
Voluntary Disclosures ◽  
Level Of Involvement ◽  
Selection Of

We investigate whether audit committees use voluntary disclosures to signal the committees’ higher level of involvement in the audit partner-selection process, which contributes to higher levels of audit quality. Audit committees more involved in the partner-selection process should ensure the selection of a more rigorous partner. We test this conjecture by first identifying partners new to audit engagements. We then compare audit quality for companies whose audit committees disclose involvement in the selection of the new partner to those without this disclosure. We find that this disclosure is positively associated with audit quality (measured using discretionary accruals, misstatements, and meeting consensus analyst forecasts by a very small margin). Our results are more salient for complex companies and those with powerful audit committees. These findings highlight that audit committees use their disclosures to signal involvement in the partner-selection process and are relevant to the Securities and Exchange Commission.

MANIFESTATION OF TRANSGRESSION BY MAIN QUANTITATIVE CHARACTERISTICS OF WINTER TRITICAL PRODUCTIVITY IN F2 HYBRID POPULATIONS

2021 ◽  
Vol 1 ◽  
pp. 3-7
Author(s):  
В. Д. Тромсюк ◽  
◽  
В. Д. Бугайов ◽  
Keyword(s):  
Maximum Degree ◽  
Geographical Origin ◽  
Selection Process ◽  
Diallel Analysis ◽  
Grain Weight ◽  
Maximum Frequency ◽  
Winter Triticale ◽  
Research Material ◽  
Quantitative Characteristics ◽  
Selection Of

The research was conducted in 2014-2017 in the department of selection of fodder, grain ears, and industrial crops in the fields of scientific crop rotation of the Institute of Fodder and Agriculture of Podillya NAAS of Ukraine. A collection of 114 hexaploid specimens of different ecological and geographical origins was used as research material. Six varieties of winter triticale of different ecological and geographical origin and the manifestation of valuable economic features were used in crosses according to the scheme of full diallel analysis: Polovetske (UA0602494), Amos (UA0602627) originating from Ukraine; Kapryz (UA0601781), Tsekad 90 (UA0602066) - Russia; Dubrava (UA0602222) - Belarus and Pawo (UA0602555) - Poland. Only the best plants, which did not lag in growth and were normally developed, were selected for hybridization. The obtained generation F0 was sown in 2016, and generation F1 – 2017 manually in an experimental field with the same depth, which provides plants with the same area of nutrition. After full maturation, the plants were also collected manually in sheaves, structural analysis was performed on the main indicators of productivity. The frequency and degree of manifestation of positive transgressions in hybrids of the second generation (F2) of winter triticale were evaluated based on productivity: productive bushiness, number and weight of ear grains and grain weight from the plant. The best hybrids by degree and frequency of manifestation of positive transgression are selected. The degree of transgressions in productive bushiness averaged 65.3%, frequency - 43%; number of grains in the main ear - 7.4%, frequency - 15.3%; weight of grain in the ear - 13.8% at a frequency of 27, 7%; weight of grain from the plant - 91.5% with a transgression frequency of 52.7%. The best hybrid combinations of winter triticale on the basis of "productive bushiness" - Polovtsian / Caprice and Dubrava / Polovtsian (Tc = 100%), the maximum frequency of transgressions on this basis - hybrids Polovtsian / Caprice / Pawos and Pawo are selected and offered for use in the selection process. TC = 60); "Number of grains from the ear" - the maximum degree of transgressions was found in the hybrid Pawo / Polovtsian (Tc = 18.1%), the maximum frequency - in the hybrid Caprich / Pawo (Tch = 40); "Ear grain mass" - Pawo / Amos (Tc = 37.0%), the highest frequency of transgressions - in hybrids Amos / Dubrava and Kaprikh / Pawo (Tch = 50); "Grain weight from the plant" - Polovtsian / Amos (Tc = 37.0%), the frequency of transgressions - hybrids Polovtsian / Amos and Polovtsian / Caprice (Tc = 85%).

A Spectral Optimization Algorithm for Multi-Objective Prototype Selection

1995 ◽  
Author(s):  
Andy Dong ◽  
Alice M. Agogino
Keyword(s):  
Optimization Algorithm ◽  
Parametric Design ◽  
Selection Process ◽  
Objective Evaluation ◽  
Design Synthesis ◽  
Multi Objective ◽  
Trade Offs ◽  
Spectral Optimization ◽  
The Right ◽  
Selection Of

Abstract In design synthesis, engineering prototypes make an ideal representation medium for preliminary designs. Unlike parametric design wherein a pre-specified design is parametrically varied, design synthesis demands artistic creativity and engineering experience to transform the previously known components, relationships and designs into a new form. The process compels the designer to ascertain which prototypes will, in some sense, best satisfy the design task. The challenge in this assignment lies in selecting the “right” design prototype. This selection process typically entails an objective evaluation of different designs that perform the same functions or have similar intended behavior and comparing trade-offs between alternate designs. This paper introduces a multi-objective spectral optimization algorithm for the selection of design prototypes based upon their functional representations. The optimization algorithm returns an index of rank, scoring the functional similarity of the proposed design to the goal design. Two illustrative examples apply the algorithm to the selection of a heat fin and beam.

scholarly journals Selection of visual information for lightness judgements by eye movements

2013 ◽  
Vol 368 (1628) ◽  
pp. 20130056 ◽  
Author(s):  
Matteo Toscani ◽  
Matteo Valsecchi ◽  
Karl R. Gegenfurtner
Keyword(s):  
Eye Movements ◽  
Visual System ◽  
Visual Information ◽  
Selection Process ◽  
Sampling Strategy ◽  
Selection Strategy ◽  
Eye Fixations ◽  
Target Layer ◽  
Highly Correlated ◽  
Selection Of

When judging the lightness of objects, the visual system has to take into account many factors such as shading, scene geometry, occlusions or transparency. The problem then is to estimate global lightness based on a number of local samples that differ in luminance. Here, we show that eye fixations play a prominent role in this selection process. We explored a special case of transparency for which the visual system separates surface reflectance from interfering conditions to generate a layered image representation. Eye movements were recorded while the observers matched the lightness of the layered stimulus. We found that observers did focus their fixations on the target layer, and this sampling strategy affected their lightness perception. The effect of image segmentation on perceived lightness was highly correlated with the fixation strategy and was strongly affected when we manipulated it using a gaze-contingent display. Finally, we disrupted the segmentation process showing that it causally drives the selection strategy. Selection through eye fixations can so serve as a simple heuristic to estimate the target reflectance.

scholarly journals Value analysis as a mechanism to reduce the complexity of the selection of the resources system for Agile/Virtual Enterprises in the context of Industry 4.0

2021 ◽  
Vol 49 (4) ◽  
pp. 806-816
Author(s):  
Paulo Ávila ◽  
António Pires ◽  
Goran Putnik ◽  
João Bastos ◽  
Maria Cruz-Cunha
Keyword(s):  
Industry 4.0 ◽  
Resource Selection ◽  
Selection Process ◽  
Virtual Enterprises ◽  
Value Analysis ◽  
Problem Formulations ◽  
Integration Project ◽  
Process Complexity ◽  
Final System ◽  
Selection Of

The selection of the resources system (SRS) is an important element in the integration/project of Agile/Virtual Enterprises (A/V E) because its performance is dependent of this selection, and even of its creation. However, it remains a difficult matter to solve because is still a very complex and uncertain problem. We propose that using Value Analysis (VA) in the pre-selection of resources phase represents a significant improvement of the SRS process. The current literature fails to formally address the pre-selection phase and none of the resource selection models incorporate the resources value and its consequence in the complexity of the selection process. Whereby, ours developed model with VA constitutes an innovative approach towards greater sustainability in the configuration of A/V E in the context of Industry 4.0, where a massive interconnection among enterprises is expected and consequently the increase of the selection process complexity. After the construction of a demonstrator tool for a set of the problem formulations, this paper verifies by computational results the thesis regarding the benefits of applying VA to the SRS process: VA reduces the complexity of the SRS process, even ensuring that the final system of resources achieve higher quality/value grade.

scholarly journals Sistem Pendukung Keputusan Pemilihan Tenaga Kerja Indonesia (TKI) Berdasarkan Kualitas Untuk Menentukan Tempat Kerja Menggunakan Metode Profile Matching (Studi Kasus: PT Adila Prezkifarindo Duta)

2020 ◽  
Vol 1 (2) ◽  
pp. 142
Author(s):  
Dasarius Gulo
Keyword(s):  
Decision Making ◽  
Migrant Workers ◽  
Selection Process ◽  
Matching Method ◽  
Matching Process ◽  
Profile Matching ◽  
Long Time ◽  
Support Decision Making ◽  
Selection Of ◽  
The Ideal

In the process of selecting Indonesian Workers (TKI) based on quality at PT. Adila Prezkifarindo Duta is classified as still manual, where there is not yet a system for selecting quality migrant workers so it requires a long time for its assessment and the selection process is less effective. To support decision making in the selection of qualified Indonesian Workers (TKI) to make it easier by using a decision support system. One method used in the selection of qualified Indonesian Workers is the Profile Matching method. The profile matching method is a decision-making mechanism by assuming that there is an ideal level of predictor variables that must be met by applicants, rather than the minimum level that must be met or passed. In the profile matching process a process will be compared between individual competencies into standard competencies so that different competencies can be identified (also called Gap). The smaller the gap produced, the greater the weight value. In matching this profile, the selected TKI candidates are Indonesian Workers who are closest to the ideal profile of a qualified TKI.

scholarly journals Supplier selection using different metric functions

2015 ◽  
Vol 25 (3) ◽  
pp. 413-423 ◽  
Author(s):  
S.E. Omosigho ◽  
Dickson Omorogbe
Keyword(s):  
Supplier Selection ◽  
Selection Process ◽  
Fuzzy Topsis ◽  
Ideal Solution ◽  
Order Preference ◽  
Metric Functions ◽  
Metric Function ◽  
Topsis Technique ◽  
Intuitionistic Fuzzy Topsis ◽  
Selection Of

Supplier selection is an important component of supply chain management in today?s global competitive environment. Hence, the evaluation and selection of suppliers have received considerable attention in the literature. Many attributes of suppliers, other than cost, are considered in the evaluation and selection process. Therefore, the process of evaluation and selection of suppliers is a multi-criteria decision making process. The methodology adopted to solve the supplier selection problem is intuitionistic fuzzy TOPSIS (Technique for Order Preference by Similarity to the Ideal Solution). Generally, TOPSIS is based on the concept of minimum distance from the positive ideal solution and maximum distance from the negative ideal solution. We examine the deficiencies of using only one metric function in TOPSIS and propose the use of spherical metric function in addition to the commonly used metric functions. For empirical supplier selection problems, more than one metric function should be used.

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