scholarly journals Rice Mapping Using a BiLSTM-Attention Model from Multitemporal Sentinel-1 Data

Agriculture ◽  
2021 ◽  
Vol 11 (10) ◽  
pp. 977
Author(s):  
Chunling Sun ◽  
Hong Zhang ◽  
Lu Xu ◽  
Chao Wang ◽  
Liutong Li
Keyword(s):  
Production Efficiency ◽  
Weather Condition ◽  
Temporal Characteristic ◽  
Test Dataset ◽  
The Sustainable Development ◽  
Attention Model ◽  
Rice Distribution ◽  
Global Land Cover ◽  
Characteristic Map ◽  
Different Types

Timely and accurate rice distribution information is needed to ensure the sustainable development of food production and food security. With its unique advantages, synthetic aperture radar (SAR) can monitor the rice distribution in tropical and subtropical areas under any type of weather condition. This study proposes an accurate rice extraction and mapping framework that can solve the issues of low sample production efficiency and fragmented rice plots when prior information on rice distribution is insufficient. The experiment was carried out using multitemporal Sentinel-1A Data in Zhanjiang, China. First, the temporal characteristic map was used for the visualization of rice distribution to improve the efficiency of rice sample production. Second, rice classification was carried out based on the BiLSTM-Attention model, which focuses on learning the key information of rice and non-rice in the backscattering coefficient curve and gives different types of attention to rice and non-rice features. Finally, the rice classification results were optimized based on the high-precision global land cover classification map. The experimental results showed that the classification accuracy of the proposed framework on the test dataset was 0.9351, the kappa coefficient was 0.8703, and the extracted plots maintained good integrity. Compared with the statistical data, the consistency reached 94.6%. Therefore, the framework proposed in this study can be used to extract rice distribution information accurately and efficiently.

NEURAL CLASSIFICATION OF MASS ABNORMALITIES WITH DIFFERENT TYPES OF FEATURES IN DIGITAL MAMMOGRAPHY

2006 ◽  
Vol 06 (01) ◽  
pp. 61-75 ◽  
Author(s):  
R. PANCHAL ◽  
B. VERMA
Keyword(s):  
Breast Cancer ◽  
Research Work ◽  
Breast Cancer Diagnosis ◽  
Classification Rate ◽  
Test Dataset ◽  
Benchmark Database ◽  
Different Types ◽  
Breast Tissues ◽  
Mass Type

Early detection of breast abnormalities remains the primary prevention against breast cancer despite the advances in breast cancer diagnosis and treatment. Presence of mass in breast tissues is highly indicative of breast cancer. The research work presented in this paper investigates the significance of different types of features using proposed neural network based classification technique to classify mass type of breast abnormalities in digital mammograms into malignant and benign. 14 gray level based features, four BI-RADS features, patient age feature and subtlety value feature have been explored using the proposed research methodology to attain maximum classification on test dataset. The proposed research technique attained a 91% testing classification rate with a 100% training classification rate on digital mammograms taken from the DDSM benchmark database.

scholarly journals The Effects of Ambient Illumination, Color Combination, Sign Height, and Observation Angle on the Legibility of Wayfinding Signs in Metro Stations

2020 ◽  
Vol 12 (10) ◽  
pp. 4133 ◽  
Author(s):  
Yuqi Shi ◽  
Yi Zhang ◽  
Tao Wang ◽  
Chaoyang Li ◽  
Shengqiang Yuan
Keyword(s):  
Service Level ◽  
Observation Angle ◽  
Ambient Illumination ◽  
The Sustainable Development ◽  
Color Combination ◽  
Black Background ◽  
Different Types ◽  
Color Combinations ◽  
White Target ◽  
Chromatic Color

Well-designed wayfinding signs play an important role in improving the service level of metro stations, ensuring the safety of passengers in evacuation, and promoting the sustainable development of public transport. This study explored the effects of ambient illumination, color combination, sign height, and observation angle on wayfinding signs’ legibility in metro stations. In the experiment, simulated metro-wayfinding signs were made to test legibility. As designed, the legibility was measured based on the following independent variables: two levels of ambient illumination (70 lux and 273 lux), two target/background color combinations (achromatic-white target on black background, chromatic-yellow target on black background), two sign heights (1.5 m and 2 m), and three observation angles (0°, 45°, 70°). The results showed that brighter ambient illumination provided passengers with higher legibility. Achromatic color combination was more legible than chromatic color combination, but not significantly. Different types of signs, set at different height, did not directly affect legibility. Observation angle had significant effects on legibility. Visibility catchment area of wayfinding signs was like an ellipse, with its short axis nearly equal to the legibility distance of the sign at 0 degrees. The findings will facilitate the layout and setting location of wayfinding signs in metro stations and improve the level of wayfinding service.

Effect of Rainfall Intensity and Road Crossfall on Skid Resistance of Asphalt Pavement

2014 ◽  
Vol 70 (4) ◽  
Author(s):  
Haryati Yaacob ◽  
Mohd Rosli Hainin ◽  
Sudesh Nair A/L Baskara
Keyword(s):  
Weather Condition ◽  
Water Film ◽  
Road Accidents ◽  
Factors Affecting ◽  
The Road ◽  
Pendulum Test ◽  
Different Types ◽  
Sand Patch ◽  
Wet Weather ◽  
Major Factors

Skidding is one of the major factors to road accidents during wet weather condition. Skidding during wet weather happens when water film presents between the tyre and pavement reducing the friction of tyre onto the road surface. This laboratory study was carried out to investigate the factors affecting Pendulum Test Value on Asphaltic Concrete surfaces. The main objective of this study is to determine the pavement type and the crossfall percentage that best resist skid during wet weather condition. Three different types of dense graded mixes were used in this study which are AC10, AC14 and AC20. Those three constructed mixes were tested using Sand Patch Test (SPT) and were then subjected to various rainfall conditions and crossfall percentages using Rainfall Simulator. The rainfall conditions are categorized as low rainfall, medium rainfall and high rainfall while the crossfalls were increased 2% from 0% to 10% crossfalls. During the event of rainfall on each pavement surfaces, a British Pendulum Tester (BPT) was used on the pavements to obtain the Pendulum Test Value (PTV) at different crossfalls. Collected data are analyzed using analysis of variance (ANOVA) to justify the objectives. Results from PTV shows that 4% to 10% crossfall is the best crossfall and AC20 is the best surface type in resisting skid.

Influence of Water Activated by Far Infrared Porous Ceramics on Nitrogen Absorption in the Pig Feed

2016 ◽  
Vol 16 (4) ◽  
pp. 3977-3980 ◽  
Author(s):  
Junping Meng ◽  
Jie Liu ◽  
Jinsheng Liang ◽  
Hongchen Zhang ◽  
Yan Ding
Keyword(s):  
Drinking Water ◽  
Protein Content ◽  
Production Efficiency ◽  
Animal Husbandry ◽  
Far Infrared ◽  
Porous Ceramics ◽  
Control Group ◽  
The Sustainable Development ◽  
Pig Feed ◽  
Experimental Group

Under modern and intensive feeding livestock and poultry density has increased, and brought a deterioration of the farm environment. The livestock and their excrement generate harmful gases such as ammonia, etc. which restricted the sustainable development and improvement of production efficiency of animal husbandry. In this paper, a new kind of far infrared porous ceramics was prepared to activate the animal drinking water. The activated water and common water were then supplied to pigs, and the fresh pig feces of experimental group and control group were collected on a regular basis. The residual protein content in feces was tested by Kjeldahl nitrogen method to study the influence law of the porous ceramics on absorbing nitrogen element in animal feces. The results showed that compared with the control group, the protein content in the experimental group decreased on average by 39.2%. The activated drinking water was conducive to the absorption of nitrogen in pig feed. The clusters of water molecules became smaller under the action of the porous ceramics. Hence, they were easy to pass through the water protein channel on the cell membrane for speeding up the metabolism.

scholarly journals A Method of Objects Classification Based on Learning and Visual Perception

2018 ◽  
Vol 36 (2) ◽  
pp. 359-367
Author(s):  
Na Li ◽  
Xinbo Zhao ◽  
Yongjia Yang ◽  
Xiaochun Zou
Keyword(s):  
Eye Tracking ◽  
Visual Saliency ◽  
Image Features ◽  
Classification Method ◽  
Attention Model ◽  
Whole Process ◽  
Visual Behaviors ◽  
Different Types ◽  
Visual Saliency Model ◽  
High Level

Objects classification is one of the most significant problems in computer vision. For improving the accuracy of objects classification, we put forward a new classification method enlightened the whole process that human distinguish different types of objects. Our method mixed visual saliency model and CNN, is more close to human and has apparently biological advantages. Firstly, we built an eye-tracking database to learn people visual behaviors when they classify various objects and recorded the eye-tracking data. Secondly, this database is used to train a learning-based visual attention model, which is based on low-level (e.g., orientation, color, intensity, etc.) and high-level (e.g., faces, people, cars, etc.) image features to analyze and predict the human's classification RoIs. Finally, we established a CNN framework to classify RoIs. The results of the experiment showed our attention model can determine saliency regions and predict human's classification RoIs more precisely and our classification method improved the efficiency of classification markedly.

scholarly journals Optimal Generation Scheduling with Dynamic Profiles for the Sustainable Development of Electricity Grids

2019 ◽  
Vol 11 (24) ◽  
pp. 7111 ◽  
Author(s):  
Carlos Roldán-Blay ◽  
Vladimiro Miranda ◽  
Leonel Carvalho ◽  
Carlos Roldán-Porta
Keyword(s):  
Sustainable Development ◽  
Computational Cost ◽  
The Sustainable Development ◽  
Generation Scheduling ◽  
Supply Problem ◽  
Different Types ◽  
Electricity Grids ◽  
Accelerate Convergence ◽  
Effective Integration ◽  
High Computational Cost

The integration of renewable generation in electricity networks is one of the most widespread strategies to improve sustainability and to deal with the energy supply problem. Typically, the reinforcement of the generation fleet of an existing network requires the assessment and minimization of the installation and operating costs of all the energy resources in the network. Such analyses are usually conducted using peak demand and generation data. This paper proposes a method to optimize the location and size of different types of generation resources in a network, taking into account the typical evolution of demand and generation. The importance of considering this evolution is analyzed and the methodology is applied to two standard networks, namely the Institute of Electrical and Electronics Engineers (IEEE) 30-bus and the IEEE 118-bus. The proposed algorithm is based on the use of particle swarm optimization (PSO). In addition, the use of an initialization process based on the cross entropy (CE) method to accelerate convergence in problems of high computational cost is explored. The results of the case studies highlight the importance of considering dynamic demand and generation profiles to reach an effective integration of renewable resources (RRs) towards a sustainable development of electric systems.

scholarly journals Methods of Conditioning Sustainable Growth Programs of Power Generating Companies

2019 ◽  
Vol 124 ◽  
pp. 05073
Author(s):  
A.P. Garnov ◽  
O.N. Bykova ◽  
V.M. Repnikova
Keyword(s):  
Energy Efficiency ◽  
Sustainable Development ◽  
Distinctive Feature ◽  
Production Efficiency ◽  
Electric Power Industry ◽  
Sustainable Growth ◽  
Energy Resources ◽  
Increase Production Efficiency ◽  
The Sustainable Development ◽  
Production Characteristics

Purpose: to propose a program for the sustainable development of production complexes of the electric power industry, a distinctive feature that will be to increase production efficiency and preserve the environment.Findings: after conducting a scientific study, the authors obtained indicators for analyzing the effectiveness of the program, which were tested on the example of two territorial generating companies located in Buryatia and the Trans-Baikal Territory.Results: the proposed and tested program contains a number of advantages related to energy efficiency, preserving the environment, increasing the reliability and uninterrupted power supply.Value: the proposed program of the sustainable growth of power generating companies considering the adjustment of the production characteristics, the use of energy resources and the existing infrastructure, can become the basis for the power companies.

What Gives Life to Large System Change?

2019 ◽  
Vol 33 (3) ◽  
pp. 342-358 ◽  
Author(s):  
Sandra Waddock ◽  
Petra Kuenkel
Keyword(s):  
Sustainable Development Goals ◽  
Change Agents ◽  
System Change ◽  
Large System ◽  
Levels Of Analysis ◽  
Multiple Sources ◽  
The Sustainable Development ◽  
Core Set ◽  
Different Types ◽  
Development Goals

This article argues that the capacity to create the large system change needed to deal with “grand challenges” like the Sustainable Development Goals, sustainability, or climate change can be enhanced by understanding and applying a core set of principles, drawn from multiple sources and levels of analysis that have explored the question of “what gives life.” These sources all—albeit in different ways—apply the question, what “gives life” to different types of systems, and how this relates to the (so far as we know) uniquely human capacity for reflection. We identify six principles that “give life” to systems—intentional generativity, permeable containment, emerging novelty, contextual interconnectedness and requisite diversity, mutually enhancing wholeness, and proprioceptive consciousness—then provide guidance for change agents and scholars, as well as an illustrative example of the principles in action. These six principles provide a foundation for thinking about how to create flourishing human systems in organizations, social change, and global sustainability transformation.

Financial Intermediaries

2020 ◽  
pp. 23-39
Keyword(s):  
Economic Growth ◽  
Sustainable Development ◽  
Crucial Role ◽  
Financial System ◽  
Positive Influence ◽  
Financial Intermediaries ◽  
Financial Systems ◽  
The Sustainable Development ◽  
Different Types

Effective financial systems provide significant benefits for the sustainable development of the countries. Therefore, most governments aim to take some actions to increase the effectiveness of the financial system. In this framework, financial intermediaries play a crucial role for this purpose. Financial intermediaries can be mainly classified into two different categories: banks and nonbanking organizations. In this chapter, the responsibilities of the financial intermediaries are explained. Within this context, first of all, the different types of the banks are identified. In addition, nonbanking organizations are defined. It is concluded that financial intermediaries should work effectively to increase the performance of the financial system. This situation has a positive influence on the economic growth of the countries.

scholarly journals Efficiency of managing liabilities of enterprises of different types of economic activities

2020 ◽  
Vol 9 (1) ◽  
pp. 423
Author(s):  
Andrii Sakhno ◽  
Iryna Salkova ◽  
Nataliia Polishchuk ◽  
Lesia Kucher ◽  
Inna Stashko
Keyword(s):  
Economic Activity ◽  
Support Service ◽  
Economic Activities ◽  
The Sustainable Development ◽  
Production Factors ◽  
Different Types ◽  
Efficient Type ◽  
Training Activities ◽  
And Training

The article substantiates approaches to making decisions of obligations management in the conditions of increasing the assets by types of economic activity in Ukraine. The possibility of using correlation-regression analysis to determine the most favorable variations (in relation of density) between the effective indicator (types of assets) and production factors (types of liabilities) has been proved. A method of analyzing the operating environment is applied to identify the shortest possible reduction in current and long-term liabilities and maximize the volume of current assets. It was found that (i) the most efficient type of economic activity due to the increase in current assets in Ukraine was administrative and support service activities (0.90), the least efficient – agriculture, forestry and fisheries (0.47); (ii) education and training activities (0.93) are the most effective types of economic activity due to reduce liabilities, and health and social assistance (0.44) are the least effective. The results of the study can be used in planning the sustainable development of different types of economic activity. Key words: liabilities, assets, types of economic activities, entities, profit, efficiency, Ukraine.

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