scholarly journals Factors affecting energy consumption and productivity in greenhouses

2021 ◽  
Vol 19 (4) ◽  
pp. e0209-e0209
Author(s):  
Mohammad Younesi-Alamouti ◽  
Keyword(s):  
Energy Consumption ◽  
Relative Humidity ◽  
Energy Exchange ◽  
Impact Factors ◽  
Factors Affecting ◽  
Fuzzy Neural ◽  
The Impact ◽  
Better Than ◽  
Unit Of Temperature

Aim of study: To investigate the impact factors affecting the greenhouse environment on energy consumption and productivity. Area of study: Alborz province of Iran during the period 2018–2020. Material and methods: In this study, 18 active units of greenhouse owners in Alborz province of Iran that had necessary standards were identified. Then, upper and lower amplitudes of the variables affecting productivity and energy consumption in greenhouses were calculated using a type-2 fuzzy neural network, Matlab 2017 software. Area, temperature, energy exchange, environmental evapotranspiration and relative humidity were studied as indicators. Main results: With each unit of temperature, energy consumption and productivity increased by 0.737% and 0.741%, respectively; with each unit of energy exchange, they increased by 0.813% and 0.696%, respectively; with each unit of evaporation and transpiration of the environment, they increased by 0.593% and 0.869%, respectively; and with each unit of humidity, they increased by 0.398% and 0.509%, respectively. Research highlights: The factors affecting the greenhouse environment such as area, temperature, evapotranspiration and relative humidity had a significant effect on productivity in studying greenhouses and therefore increasing their productivity. According to the results, the model’s ability in energy consumption was better than that for energy efficiency prediction. Also, greenhouse ranking was done by FAHP method.

Research on the hydrographic survey cycle for updating navigational charts

2021 ◽  
pp. 1-13
Author(s):  
Jing Duan ◽  
Xiaoxia Wan ◽  
Jianan Luo
Keyword(s):  
Neural Network ◽  
Bp Neural Network ◽  
Calculation Model ◽  
Impact Factors ◽  
Factors Affecting ◽  
Material Resources ◽  
Hydrographic Survey ◽  
Survey Planning ◽  
The Impact ◽  
The Relationship

Abstract Due to the vast ocean area and limited human and material resources, hydrographic survey must be carried out in a selective and well-planned way. Therefore, scientific planning of hydrographic surveys to ensure the effectiveness of navigational charts has become an urgent issue to be addressed by the hydrographic office of each coastal state. In this study, a reasonable calculation model of hydrographic survey cycle is established, which can be used to make the plan of navigational chart updating. The paper takes 493 navigational charts of Chinese coastal ports and fairways as the research object, analyses the fundamental factors affecting the hydrographic survey cycle and gives them weights, proposes to use the BP neural network to construct the relationship between the cycle and the impact factors, and finally establishes a calculation model of the hydrographic survey cycle. It has been verified that the calculation cycle of the model is effective, and it can provide reference for hydrographic survey planning and chart updating, as well as suggestions for navigation safety.

scholarly journals Examining partial proportional odds model in analyzing severity of high-speed railway accident

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Jing Wang ◽  
Yinghan Wang ◽  
Yichuan Peng ◽  
Jian John Lu
Keyword(s):  
High Speed ◽  
Proportional Odds Model ◽  
Impact Factors ◽  
Proportional Odds ◽  
High Speed Railway ◽  
Severity Level ◽  
Content Type ◽  
Factors Affecting ◽  
Partial Proportional Odds Model ◽  
The Impact

Purpose The operation safety of the high-speed railway has been widely concerned. Due to the joint influence of the environment, equipment, personnel and other factors, accidents are inevitable in the operation process. However, few studies focused on identifying contributing factors affecting the severity of high-speed railway accidents because of the difficulty in obtaining field data. This study aims to investigate the impact factors affecting the severity of the general high-speed railway. Design/methodology/approach A total of 14 potential factors were examined from 475 data. The severity level is categorized into four levels by delay time and the number of subsequent trains that are affected by the accident. The partial proportional odds model was constructed to relax the constraint of the parallel line assumption. Findings The results show that 10 factors are found to significantly affect accident severity. Moreover, the factors including automation train protection (ATP) system fault, platform screen door and train door fault, traction converter fault and railway clearance intrusion by objects have an effect on reducing the severity level. On the contrary, the accidents caused by objects hanging on the catenary, pantograph fault, passenger misconducting or sudden illness, personnel intrusion of railway clearance, driving on heavy rain or snow and train collision against objects tend to be more severe. Originality/value The research results are very useful for mitigating the consequences of high-speed rail accidents.

Modeling the Impact of Three Gorges Dam on the Cooling Energy Consumption of the Reservoir Cities

2014 ◽  
Vol 1065-1069 ◽  
pp. 3254-3259
Author(s):  
Min Wu ◽  
Wai Ching Tang ◽  
Yan Zhou ◽  
Shuo Chen ◽  
Guang Wei Chen ◽  
...  
Keyword(s):  
Energy Consumption ◽  
Relative Humidity ◽  
Three Gorges Dam ◽  
Weather Data ◽  
Three Gorges ◽  
Hydraulic Power ◽  
Reservoir Area ◽  
The Impact

While the Three George Dam might help in utilizing hydraulic power, historic weather data showed that the Three George Dam has a serious impact on the relative humidity for cities in the reservoir area. We conclude that the cooling energy consumption in Chongqing may have increased about 31 per cent, provided that the Three George Dam had not been constructed.

scholarly journals Analysis of Impact Factors Affecting Sleep Quality among Community-Dwelling Elderly Individuals in The Chinese Community in Shanghai

2021 ◽  
Vol 5 (7) ◽  
Author(s):  
Changying Wang ◽  
Yunwei Zhang ◽  
Jing Zhang ◽  
Lingshan Wan ◽  
Chunyan Xie ◽  
...  
Keyword(s):  
Sleep Quality ◽  
Elderly People ◽  
The Elderly ◽  
Elderly Individual ◽  
Community Dwelling ◽  
Impact Factors ◽  
Physical Pain ◽  
Factors Affecting ◽  
Elderly Individuals ◽  
The Impact

Context: Insomnia is prevalent among elderly individuals and has become a public health problem receiving increasing concern. Low sleep quality is related to a number of negative health outcomes. Objective: This research aims to investigate the sleep status of community-dwelling elderly individuals (aged 60 years or older) in Shanghai, China, to explore the impact factors affecting sleep quality. Methods: One street in Shanghai city was randomly selected, and 50% of the elderly residents were randomly selected as participants for a total number of 9,616 people. Investigations were conducted by indoor surveys through home doctors and paper questionnaires. For statistical analysis, univariate and multivariate regression analysis and the Spearman correlation model were performed using SAS 9.4 to analyze the effects of the impact factors on the sleep quality of elderly individuals. Results: Sleep quality is greatly affected by physical pain in both the elderly individual and the individual’s spouse. Healthy elderly people tend to have better sleep quality, and the more chronic diseases an elderly individual suffers, the worse their sleep quality is. In addition, the physical pain of a cohabiting spouse is one of the most significant impact factors influencing sleep quality. Conclusion: We suggest that community-dwelling elderly people maintain moderate outdoor activities and a healthy mental state, which will improve their sleep quality.

scholarly journals DAMPAK AKUMULASI MODAL, EKSPOR, MARGINAL EFFICIENCY OF CAPITAL (MEC), INFLASI DAN SISTEM PEMERINTAHAN TERHADAP PERTUMBUHAN EKONOMI

Media Ekonomi ◽  
2019 ◽  
Vol 25 (2) ◽  
pp. 107
Author(s):  
Asti Karlina Dewi
Keyword(s):  
Economic Growth ◽  
Capital Accumulation ◽  
Positive Impact ◽  
Secondary Data ◽  
Supply Side ◽  
Decentralized System ◽  
Factors Affecting ◽  
Dummy Variables ◽  
The Impact ◽  
Better Than

<em>The research is analyzing the Impact of Capital Acumulation, Export, MEC, Inflation and Governace System on Indonesian Economic Growth. </em><em>The model tries to combine the supply side (capital accumulation and MEC) and the demand side (export and inflation), also by including government systems for predicting the factors affecting economic growth. The data used are secondary data obtained from BPS, BI and other data sources from 1987 to 2016 (except data from 1998, 1999, and 2000 due to data in that year's is extreme). To find out whether there is a difference in the phenomenon of economic growth in centralized systems with decentralize system used dummy variables.</em> <em>The results of the study showed that the model is significant in explaining changes in economic growth. The impact of capital accumulation on economic growth is positive significant, as well as the impact of exports. But the impact of MEC as well as of inflation on economic growth is not significant.  By seeing that the variable dummy has a significant positive impact on economic growth, it can be argued that economic growth in the decentralized system is better than the centralized.</em>

scholarly journals Prediction of Cooling Energy Consumption Using a Neural Network on the Example of the Hotel Building

Proceedings ◽  
2020 ◽  
Vol 58 (1) ◽  
pp. 21
Author(s):  
Marek Borowski ◽  
Klaudia Zwolińska
Keyword(s):  
Energy Consumption ◽  
Multilayer Perceptron ◽  
Energy Demand ◽  
Weather Conditions ◽  
Demand Model ◽  
Factors Affecting ◽  
Actual Energy Consumption ◽  
Indoor Comfort ◽  
The Impact ◽  
Cooling Energy Demand

The purpose of this work is to determine internal and external factors affecting the cooling energy demand of a building. During the research, the impact of weather conditions and the level of hotel occupancy on cooling energy, which is necessary to obtain indoor comfort conditions, was analyzed. The subject of research is energy consumption in the Turówka hotel located in Wieliczka (southern Poland). In the article, the designer of neural networks was used in the Statistica statistical package. To design the network, a widely used multilayer perceptron model with an algorithm with backward error propagation was used. Based on the collected input and output data, various multilayer perceptron (MLP) networks were tested to determine the relationship most accurately reflecting actual energy consumption. Based on the results obtained, factors that significantly affect the consumption of thermal energy in the building were determined, and a predictive energy demand model for the analyzed object was presented. The result of the work is a forecast of cooling energy demand, which is particularly important in a hotel facility. The prepared predictive model will enable proper energy management in the facility, which will lead to reduced consumption and thus costs related to facility operation.

scholarly journals Follow-up duration influences the relative importance of OGTT and optimal timing of glucose measurements for predicting future type 2 diabetes

2016 ◽  
Vol 174 (5) ◽  
pp. 591-600 ◽  
Author(s):  
Mette Lundgren Nielsen ◽  
Manan Pareek ◽  
Margrét Leósdóttir ◽  
Kurt Højlund ◽  
Karl-Fredrik Eriksson ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Optimal Timing ◽  
Oral Glucose ◽  
Family History Of Diabetes ◽  
Clinical Model ◽  
Discrimination Ability ◽  
The Impact ◽  
Better Than

Abstract Objective To examine the impact of follow-up duration on the incremental prognostic yield of a baseline oral glucose tolerance test (OGTT) for predicting type 2 diabetes and to assess the discrimination ability of blood glucose (BG) obtained at different time points during OGTT. Design A prospective, population-based cohort study (Malmö Preventive Project) with inclusion of subjects from 1974 to 1992. Methods A total of 5256 men without diabetes, who had BG measured at 0, 20, 40, 60, 90, and 120 min during OGTT (30 g/m2 glucose), were followed for 30 years. Incident type 2 diabetes was recorded using registries. The performance of OGTT added to a clinical prediction model (age, body mass index (BMI), diastolic blood pressure, fasting BG, triglycerides, and family history of diabetes) was assessed using Harrell’s concordance index (C-index) and integrated discrimination improvement (IDI). Results Median age was 48 years, mean BMI 24.9 kg/m2, and mean fasting BG 4.7 mmol/L. Models with added post-load BG performed better than the clinical model (C-index: P = 0.08 for BG at 120 min at 5 years, otherwise P ≤ 0.045; IDI: P ≥ 0.06 for BG at 60 and 90 min at 5 years, otherwise P ≤ 0.01). With a longer follow-up duration, C-index decreased, and the C-index increase associated with OGTT was attenuated. Models including BG at 60 or 90 min performed significantly better than the model with BG at 120 min, evident beyond follow-up of 10 and 5 years, respectively. Conclusions OGTT provided incremental prognostic yield for type 2 diabetes prediction. BG measured at 60 or 90 min provided better discrimination than BG at 120 min.

FORMATION OF TEENAGERS’ LEGAL CULTURE: ESSENCE AND IMPACT FACTORS

2018 ◽  
pp. 70-80
Author(s):  
Maksim Viktorovich KHARNIKOV
Keyword(s):  
Educational Institution ◽  
Legal Education ◽  
National Policy ◽  
Legal Culture ◽  
Impact Factors ◽  
Factors Affecting ◽  
Other Information ◽  
Use Of The Internet ◽  
Definition Of ◽  
The Impact

We give the definition of the essence of the formation of teenager’s legal culture, which is understood as a purposeful, specially organized, managed social and pedagogical process that provides the assimilation of legal knowledge by teenagers, the manifestation of the legal position in socially useful activities. We also consider the impact factors of formation of legal culture of a modern teenager in society. The leading factors affecting teenager’s legal culture include a single national policy in the field of legal culture (“Fundamentals of State Policy of the Russian Federation in the Field of Legal Literacy and Legal Awareness of Citizens”), the organization of space for the participation of teenagers in socially significant activities and for the implementation of legal education (for example, the program “Do not Stumble!”), socializing the potential of the family in the process of legal education, the impact on the legal culture of the teenager media, first of all, Internet (methodical recommendations about placement on information stands, official Internet sites and other information resources of the educational organizations and bodies exercising management in the sphere of education, information on safe behavior and use of the Internet), legal education of teenagers in educational institution, attraction of the new subjects influencing formation of legal culture (interdepartmental interaction) (it is considered on the example of activity of the Children’s rights ombudsman and legal clinics), influence of features of teenage age.

scholarly journals SEMANTIC MODELING IN RESILIENCE RESEARCH OF ENERGY AND SOCIO-ECOLOGICAL SYSTEMS

2022 ◽  
pp. 31-43
Author(s):  
Татьяна Николаевна Ворожцова ◽  
Дмитрий Вячеславович Пестерев ◽  
Владимир Русланович Кузьмин
Keyword(s):  
Natural Environment ◽  
Cognitive Modeling ◽  
Ecological Systems ◽  
Impact Factors ◽  
Semantic Modeling ◽  
Joint Research ◽  
Factors Affecting ◽  
Subject Areas ◽  
Structuring Knowledge ◽  
The Impact

В статье рассматриваются возможности применения семантического моделирования, включающего, в частности, онтологическое и когнитивное моделирование для поддержки совместных исследований энергетических и социо-экологических систем. Работа посвящена использованию онтологического инжиниринга для структурирования знаний предметных областей и когнитивного моделирования в исследованиях влияния функционирования энергетических объектов на природную среду и человека. Онтологическое моделирование используется для выявления, описания и согласования базовых понятий предметных областей исследований и позволяет систематизировать и наглядно представить взаимосвязи между элементами природной среды, объектами энергетики и их характеристиками, факторами воздействия и методами их расчета. Когнитивное моделирование используется для выявления структуры причинно-следственных связей между факторами, влияющими на устойчивость системы. The article discusses the possibilities of applying semantic modeling, including, in particular, ontological and cognitive modeling to support joint research of energy and socio-ecological systems. The work is devoted to the use of ontological engineering for structuring knowledge of subject areas and cognitive modeling in studies of the impact of the functioning of energy facilities on the natural environment and humans. Ontological modeling is used to identify, describe and coordinate the basic concepts of subject areas of research and allows you to systematize and visualize the relationship between elements of the natural environment, energy facilities and their characteristics, impact factors and methods of their calculation. Cognitive modeling is used to identify the structure of causal relationships between factors affecting the stability of the system.

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