Grading attribute selection of China's grading system for agricultural products: What attributes benefit consumers more?

2021 ◽  
pp. 101707
Author(s):  
Wenjing Nie ◽  
David Abler ◽  
Taiping Li
Keyword(s):  
Agricultural Products ◽  
Attribute Selection ◽  
Grading System ◽  
Selection Of

New active learning algorithms for near-infrared spectroscopy in agricultural applications

2021 ◽  
Vol 69 (4) ◽  
pp. 297-306
Author(s):  
Julius Krause ◽  
Maurice Günder ◽  
Daniel Schulz ◽  
Robin Gruna
Keyword(s):  
Active Learning ◽  
Near Infrared ◽  
Agricultural Products ◽  
Training Data ◽  
Calibration Model ◽  
Learning Approaches ◽  
Training Samples ◽  
Agricultural Applications ◽  
Selection Of

Abstract The selection of training data determines the quality of a chemometric calibration model. In order to cover the entire parameter space of known influencing parameters, an experimental design is usually created. Nevertheless, even with a carefully prepared Design of Experiment (DoE), redundant reference analyses are often performed during the analysis of agricultural products. Because the number of possible reference analyses is usually very limited, the presented active learning approaches are intended to provide a tool for better selection of training samples.

Exploring the Effectiveness of Seller Reputation Mechanism Using Online Sales Data

2014 ◽  
Vol 12 (2) ◽  
pp. 46-58 ◽  
Author(s):  
Ying Wang ◽  
Lei Huang ◽  
Yi Guo
Keyword(s):  
Univariate Analysis ◽  
Subjective Assessment ◽  
Sales Performance ◽  
Attribute Selection ◽  
Sales Data ◽  
Reputation Mechanism ◽  
Online Sales ◽  
Seller Reputation ◽  
Selection Of ◽  
Significant Factors

This paper attempts to explore the effectiveness of the seller reputation mechanism by an empirical study using online sales data collected from TaoBao.com. A comparison analysis of seller reputation metrics of TaoBao, Amazon, and jd are carried out before the selection of the seller reputation metrics. The seller reputation metrics of small appliances are used as the input for the study considering the quality homogeneity among different sellers of the market, and the sales performance is measured by the sales amount of the recent month. The univariate analysis are performed to find out the effect of different seller reputation metrics on the sales performance, and the attribute selection technique is then applied to reveal the most significant factors contributing to the sales performance. The result indicates the significance of the user subjective assessment on the sales performance.

GRADING SYSTEM FOR THE SELECTION OF PATIENTS WITH CONGENITAL AURAL ATRESIA

1992 ◽  
Vol 13 (1) ◽  
pp. 6???12 ◽  
Author(s):  
Robert A. Jahrsdoerfer ◽  
Joel W. Yeakley ◽  
Eugenio A. Aguilar ◽  
Randolph R. Cole ◽  
Lincoln C. Gray
Keyword(s):  
Grading System ◽  
Aural Atresia ◽  
Congenital Aural Atresia ◽  
Selection Of Patients ◽  
Selection Of

scholarly journals Sustainable Supplier Evaluation and Selection of Fresh Agricultural Products Based on IFAHP-TODIM Model

2020 ◽  
Vol 2020 ◽  
pp. 1-15
Author(s):  
Yupei Du ◽  
Di Zhang ◽  
Yue Zou
Keyword(s):  
Supply Chain ◽  
Evaluation Model ◽  
Multiple Attribute Decision Making ◽  
Agricultural Products ◽  
Evaluation Index System ◽  
Agricultural Product ◽  
Sustainable Supply Chain ◽  
Bottom Line ◽  
Multiple Attribute ◽  
Selection Of

In recent years, increasing pollution of the ecological environment, excessive use of pesticides, and lack of effective management of agricultural product supply chains have made the problem of having a green and safe supply of fresh food increasingly prominent. The sustainability of the fresh agricultural products supply has become an inevitable focus in the development of agricultural enterprises. There are some problems in the supply chain of fresh agricultural products, such as scattered production sites and difficult logistics transportation, which makes it difficult for enterprises to choose reliable suppliers. Supplier selection is a key component of sustainable supply chain management, and the criteria for evaluating the quality of sustainable suppliers are often affected by economic, social, and environmental factors. Therefore, from the perspective of sustainability, based on triple bottom line theory and comprehensively considering the three aspects of society, environment, and economy, this paper proposes a novel evaluation index system for the selection of sustainable suppliers of fresh agricultural products. This paper innovatively integrates the intuition fuzzy analytic hierarchy process and TODIM (an acronym in Portuguese of interactive and multiple attribute decision-making), and these are applied to select sustainable suppliers. Finally, the integration method is applied to the example, and a sensitivity analysis is carried out to verify the validity of the evaluation model.

Adaptive attribute selection for configurator design via Shapley value

2011 ◽  
Vol 25 (2) ◽  
pp. 185-195 ◽  
Author(s):  
Yue Wang ◽  
Mitchell M. Tseng
Keyword(s):  
Shapley Value ◽  
Attribute Selection ◽  
Product Configuration ◽  
Interactive Process ◽  
Numerical Examples ◽  
Probability Ranking Principle ◽  
Relevant Attribute ◽  
Selection For ◽  
Substantial Interest ◽  
Selection Of

AbstractConfigurators have been generally accepted as important tools to elicit customers' needs and find the matches between customers' requirements and company's offerings. With product configurators, product design is reduced to a series of selections of attribute values. However, it has been acknowledged that customers are not patient enough to configure a long list of attributes. Therefore, making every round of configuring process productive and hence reducing the number of inputs from customers are of substantial interest to academic and industry alike. In this paper, we present an efficient product configuration approach by incorporating Shapley value, which is a concept used in game theory, to estimate the usefulness of each attribute in the configurator design. This new method iteratively selects the most relevant attribute that can contribute most in terms of information content from the remaining pool of unspecified attributes. As a result from product providers' perspective, each round of configuration can best narrow down the choices with given amount of time. The selection of the next round query is based on the customer's decision on the previous rounds. The interactive process thus runs in an adaptive manner that different customers will have different query sequences. The probability ranking principle is also exploited to give product recommendation to truncate the configuration process so that customers will not be burdened with trivial selection of attributes. Analytical results and numerical examples are also used to exemplify and demonstrate the viability of the method.

scholarly journals Ensemble and Deep Learning for Language-Independent Automatic Selection of Parallel Data

Algorithms ◽  
2019 ◽  
Vol 12 (1) ◽  
pp. 26 ◽  
Author(s):  
Despoina Mouratidis ◽  
Katia Kermanidis
Keyword(s):  
Deep Learning ◽  
Machine Translation ◽  
Research Field ◽  
Attribute Selection ◽  
Parallel Corpora ◽  
Automatic Selection ◽  
Parallel Data ◽  
First Time ◽  
Learning Architectures ◽  
Selection Of

Machine translation is used in many applications in everyday life. Due to the increase of translated documents that need to be organized as useful or not (for building a translation model), the automated categorization of texts (classification), is a popular research field of machine learning. This kind of information can be quite helpful for machine translation. Our parallel corpora (English-Greek and English-Italian) are based on educational data, which are quite difficult to translate. We apply two state of the art architectures, Random Forest (RF) and Deeplearnig4j (DL4J), to our data (which constitute three translation outputs). To our knowledge, this is the first time that deep learning architectures are applied to the automatic selection of parallel data. We also propose new string-based features that seem to be effective for the classifier, and we investigate whether an attribute selection method could be used for better classification accuracy. Experimental results indicate an increase of up to 4% (compared to our previous work) using RF and rather satisfactory results using DL4J.

Subject content of teaching English language to students of “Technology of production and processing of agricultural products” programme

2019 ◽  
pp. 35-44
Author(s):  
Yuliya Tokmakova
Keyword(s):  
Foreign Language ◽  
Agricultural Products ◽  
Professional Communication ◽  
Professional Activity ◽  
Integrated Learning ◽  
Approaches To Teaching ◽  
The Subject ◽  
Vocal Art ◽  
Technology Of Production ◽  
Selection Of

Content and language integrated learning (CLIL) of foreign language and profile disciplines is currently one of the innovative approaches to teaching foreign language for professional communication to students of non-linguistic universities. However, this approach is not widely used in universities of the Russian Federation. One of the main problems of this lies in the objec-tive difficulties of a foreign language teacher to develop the content of teaching foreign language for professional communication so that it reflects the features of the future professional activity of graduates of the main professional educational programs. We see the solution of the existing problem in the selection of the subject content based on the principle of reliance actualization of interdisciplinary connection and intraprofile specialization of students. In the this work, we a) analyze three approaches to teaching foreign language to students of non-linguistic universities (English for specific purposes – ESP; English as a medium of instruction – EMI; content and language integrated learning of foreign language and subject area); b) consider studies on the selection of the subject content of teaching foreign language to students of “Jurisprudence”, “Gardening”, “Agricultural chemistry and soil science”, “Musical and Instrumental art”, “Vocal art” and “Art of folk singing” programmes; c) develop the content of teaching foreign language for professional communication to students of an agricultural university in the 35.03.07 – “Technology of production and processing of agricultural products” programme in three teaching profiles: “Expertise of quality and safety of agricultural products”, “Technology of production and processing of crop products” and “Technology of production and processing of livestock products”.

scholarly journals Methodological approaches to assessing the level of vulnerability of settlements in Kazakhstan

2021 ◽  
Vol 291 ◽  
pp. 03004
Author(s):  
Anel A. Kireyeva ◽  
Nailya K. Nurlanova ◽  
Aisulu Moldabekova ◽  
Marat Urdabayev ◽  
Dinara Mussayeva
Keyword(s):  
Data Analysis ◽  
Statistical Data ◽  
Methodological Approach ◽  
Agricultural Products ◽  
Primary Data ◽  
Rural Settlements ◽  
Nominal Income ◽  
Per Capita ◽  
Methodological Approaches ◽  
Selection Of

The aim of the research is to study the factors of development and depression of the territory, the development of a methodological approach to assessing cities and rural settlements of Kazakhstan. The main indicators of selection of localities include population density, industrial production per capita, gross output of agricultural products (services rendered) per capita, retail turnover per capita, nominal income per capita, migration balance, distance up to 50 km from the state border of Kazakhstan. The sample will be formed based on the selected criteria from 88 cities and 6322 rural settlements of Kazakhstan. The developed approach can be applied in further data analysis based on secondary statistical data and conducting an empirical study to collect primary data.

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