scholarly journals Model of Choice Photovoltaic Panels Considering Customers’ Expectations

Energies ◽  
2021 ◽  
Vol 14 (18) ◽  
pp. 5977
Author(s):  
Dominika Siwiec ◽  
Andrzej Pacana
Keyword(s):  
Electricity Generation ◽  
Photovoltaic Panel ◽  
Photovoltaic Panels ◽  
Purchase Cost ◽  
Proposed Model ◽  
Reduce Carbon Dioxide ◽  
The Cost ◽  
High Degree ◽  
Relative States

Photovoltaic electricity generation is key to achieving deep decarbonization with a high degree of electrification. It is predicted that the energy sector will reduce carbon dioxide by producing electricity mainly from photovoltaic (PV) power. Although dynamic development of the implementation of photovoltaic panels has been observed, their choice considering customer specificity is still a problem. Therefore, the purpose of this study is to propose the model of choice photovoltaic panels considering customers’ expectations. It can support the choice of a photovoltaic panel of a certain quality (satisfaction of concrete customer) in combination with the cost of its purchase. The proposed model includes acquiring and then processing customers’ expectations into technical criteria, while simultaneously considering the weighting of these criteria. It is realized in a standardized way, i.e., the zero-unitarization method (MUZ), after which normalized values of the quality of the photovoltaic panels’ criteria are obtained. In turn, the quality of these products is estimated by the weighted sum model (WSM) and then integrated with purchase cost in qualitative cost analysis (AKJ). As a result, using the scale of relative states, it is possible to categorize customer satisfaction from indicating qualitative cost and selecting the photovoltaic panel expected by customers (the most satisfactory). The effectiveness of the model was demonstrated by a sensitivity analysis, after which the key PV criteria were indicated. The proposed model is intended for any entity who selects a photovoltaic panel for customers. The computerization of calculations may contribute to its utilitarian dissemination.

scholarly journals An exploration of the role of advanced clinical practitioners in the East of England

2020 ◽  
Vol 29 (15) ◽  
pp. 864-869
Author(s):  
Claire Hooks ◽  
Susan Walker
Keyword(s):  
Clinical Decision Making ◽  
Clinical Decision ◽  
Self Awareness ◽  
The Uk ◽  
The Cost ◽  
High Degree ◽  
Individual Accountability

Medical staff shortages in the UK have provided impetus for the introduction of advanced clinical practitioners (ACPs). This case study explored the views of 22 ACPs, managers and doctors in primary and acute settings in a region of England, to understand how the role is used, and barriers and facilitators to its success. ACP roles improved the quality of service provision, provided clinical career development and enhanced job satisfaction for staff and required autonomous clinical decision-making, with a high degree of self-awareness and individual accountability. Barriers included disparate pay-scales and funding, difficulty accessing continuing education and research, and lack of agreed role definition and title, due to a lack of standardised regulation and governance, and organisational barriers, including limited access to referral systems. Facilitators were supportive colleagues and opportunities for peer networking. Regulation of ACP roles is urgently needed, along with evaluation of the cost-effectiveness and patient experience of such roles.

scholarly journals A Real Data-Driven Analytical Model to Predict Happiness

2021 ◽  
Author(s):  
Aditya Chakraborty ◽  
Chris P. Tsokos
Keyword(s):  
Quality Of Life ◽  
Risk Factors ◽  
Analytical Model ◽  
Well Being ◽  
Developed Countries ◽  
Data Driven ◽  
Individual Risk ◽  
Proposed Model ◽  
High Degree

Abstract Purpose: Philosophers and many modern-day researchers are convinced by the fact that the pursuit of happiness is the ultimate goal for humankind. Aristotle believed that the utmost goal of human life was eudaimonia (interpreted as “happiness,” “human flourishing,” or “a good life.”). Recently, many economists and physiologists have been doing applied research in the areas of subjective well-being (SWB) or happiness and trying to understand how it improves the quality of life of individual beings. Thus, searching for a data-driven analytical model is crucial to predict SWB and enhance the quality of lifeMethods: Our present study utilizes the world happiness database obtained from the Gallup World Poll on the happiness of 156 countries. However, our study focuses on using only the data of fifty-four developed countries, based on the human development index (HDI). We have developed a non-linear analytical model that predicts the average happiness score based on eleven risk factors with a high degree of accuracy. We also compared our analytical model with three other statistical models, and our model outperformed the rest of the three in terms of RMSE and MAE. Results: Our analytical model includes five important findings. The response of the proposed model is the average score of happiness of individuals in developed countries. In addition to predicting the happiness score, our model identifies the individual risk factors and their corre-sponding interactions that significantly contribute to happiness. We rank these risk factors by their percentage of contributions to the happiness score. We also proceed to rank the developed countries with respect to their predicted happiness score from our developed model. From our study, we found Finland being number one, followed by Denmark. The U.S is fifth and Romania being 54th.Conclusion: The proposed model offers other useful information on the subject area. Our ana-lytical model has been validated and tested to be of high quality, and our prediction of happiness is with a high degree of accuracy. We created a survey questionnaire (appendix 1) based on the data that can be used along with our model by any company for the strategic planning or decision making.

scholarly journals Efficiency of polycrystalline photovoltaic parks in Romania: Possibility of using renewable energy

2018 ◽  
Vol 22 (Suppl. 2) ◽  
pp. 665-671 ◽  
Author(s):  
Mihaela Mitiu ◽  
Marius Olteanu ◽  
Natalia Raischi ◽  
Cristina Balaceanu ◽  
Danut Cociorva
Keyword(s):  
Manuscript Studies ◽  
Solar Panels ◽  
Optimum Conditions ◽  
Ethyl Vinyl ◽  
Photovoltaic Panel ◽  
Photovoltaic Panels ◽  
Current State ◽  
Soldering Technology ◽  
Main Factors

The performance of photovoltaic panels and lifetime are determined to a large extent by the quality of photovoltaic cells, their soldering technology, the quality of ethyl vinyl acetate film in which they are encapsulated, the encapsulation technology and the back sheet. Depending on the manufacturing technology, photovoltaic panels can be made of monocrystalline, polycrystalline, and amorphous silicon cells. This manuscript studies the main factors that influence the aging of photovoltaic panels in order to assess their effectiveness and sustainability in terms of energy, in order to establish the optimum conditions of photovoltaic panel?s location, being a contribution to the attainment of the targets in terms of growth using renewable sources of energy. The main purpose of this research is to study the current state, in Romania, in the field of renewable energies by using solar panels.

COMPARATIVE EVALUATION OF DAIRY PRODUCTIVITY OF COWS DIFFERENT LINES IN THE CONDITIONS OF THE OREL REGION

2020 ◽  
Vol 5 (86) ◽  
pp. 73-81
Author(s):  
V.S. Buyarov ◽  
◽  
A.R. Lyashuk ◽  
◽  
◽  
...  
Keyword(s):  
Milk Yield ◽  
Milk Fat ◽  
Milk Protein ◽  
Correlation Coefficients ◽  
Milk Productivity ◽  
Holstein Breed ◽  
Ideal Line ◽  
The Cost ◽  
High Degree

This article provides a comparative analysis of indicators of milk productivity and quality of the main lines of the Holstein breed cows in one of the pedigree reproducers of the Orel region – "ES "Streletskoye". Among the three evaluated lines, the best results were shown by Reflection Sovereign first-calf heifers, which exceeded in milk yield the first-calf heifers of the Montvi􀉫 Chieftain line by 13.6% and the first-calf heifers of the Vis Back Ideal line by 42.3% (P≤0.001). Milk production coefficients of first-calf heifers of the Montvi􀉫 Chieftain and Reflection Sovereign lines exceeded those of the Vis Back Ideal line by 27.1% and 42.0% (P ≤ 0.001). In turn, Reflection Sovereign first-calf heifers also exceeded first-calf heifers of the Montvi􀉫 Chieftain line by 11.7% (P ≤ 0.001). Similar results were obtained for the second and third lactations. In terms of AMF and AMP, the Montvi􀉫 Chieftain and Reflection Sovereign cows significantly exceeded Vis Back Ideal cows in 305 days of each of the first three lactations. In turn, Reflection Sovereign first-calf heifers outperformed the AMF and AMP of Montvi􀉫 Chieftain first-calf heifers. The highest positive correlation coefficients between the amount of milk fat and milk yield for 305 days of lactation were found in cows of the Vis Back Ideal line - from 0.36 to 0.90 (P≤0.05–0.001). Concerning the correlation between the amount of milk protein and milk yield for 305 days of lactation, cows of all studied groups showed high levels of interdependence, characterized by a high degree of reliability - from 0.45 to 0.99 (P≤0.01– 0.001). The total cost of base fat milk produced in 305 days of the first three lactations by Montvi􀉫 Chieftain and Reflection Sovereign cows (per head) exceeded the cost of milk produced by Vis Back Ideal cows by 87.7 and 144.1 thousand rubles, respectively.

Active Catalogs: Integrated Support for Component Engineering

1998 ◽  
Author(s):  
Murilo Coutinho ◽  
Ragy Eleish ◽  
Jihie Kim ◽  
Vished Kumar ◽  
S. Ringo Ling ◽  
...  
Keyword(s):  
Simulation Models ◽  
Engineering Process ◽  
National Academy Of Sciences ◽  
Purchase Cost ◽  
Design And Manufacturing ◽  
The Cost ◽  
Academy Of Sciences ◽  
Intended Use ◽  
Component Engineering

Abstract A recent National Academy of Sciences study shows that design and manufacturing is dominated by three “eighty percent” rules. Eighty percent of the cost of a product typically is the purchase cost of its components. Eighty percent of the manufacturing costs are determined in the first twenty percent of the design phase. And eighty percent of an engineer’s time is spent not on design, but on communications: obtaining information about components comprising the design and coordinating with other engineers about design issues. Thus, the speed and quality of product development is heavily dependent on a designer’s ability to perform component engineering — to configure a set of components that work well together with respect to performance, reliability, cost and delivery schedule. This paper describes services provided in the Active Catalogs system that support the component engineering process. These services enable a designer not only to find candidate parts to serve as individual components in a design, but to explore and assess interactions between candidate parts for sets of components. These services include mechanisms for: (1) creating queries for parts based on their intended use rather than merely parametric specifications; (2) refining those queries to take account of constraints imposed by other components; (3) providing multi-modal information to help designers assess and compare candidate parts; and (4) generating simulation models of candidate parts and integrating them to provide simulation models of candidate systems.

Economics and livelihoods of small-scale inland fisheries in the Lower Mekong Basin: a survey of three communities in Cambodia

Water Policy ◽  
2009 ◽  
Vol 11 (S1) ◽  
pp. 31-51 ◽  
Author(s):  
Hap Navy ◽  
Madhusudan Bhattarai
Keyword(s):  
Water Allocation ◽  
Small Scale ◽  
Trade Off ◽  
Net Profit ◽  
Lower Mekong Basin ◽  
The Cost ◽  
High Degree ◽  
Related Trade ◽  
Socio Economic Factors

This paper presents economic analysis, viability and trade-off issues for small-scale (family) inland capture fisheries in three fishing communities, each representing a distinct floodplain characteristic in Cambodia. The average net profits of family fishing was US$12 and US$4.6 per trip during the open (October to May) and close (June to September) seasons, respectively; but real profit—deducting the cost for family labour from net profit—was only US$4.5 and US$1.6 during the open and close seasons, respectively. The return from family fishing varied greatly across sites surveyed, depending on the quality of the fishing grounds, hydro-ecology settings, local institutions, and socio-economic factors. The high degree of seasonality, the spatial variation of returns and costs of capture fisheries suggest interdependence of fishing activities with basin-level water allocation policies, and also related trade-off in the fisheries sector with water allocation and water resources management policies. There is also now an urgent need for synergy of the various rural development efforts with that of fisheries policies in the Mekong River Basin.

scholarly journals An Enhanced Deep Neural Network for Predicting Workplace Absenteeism

Complexity ◽  
2020 ◽  
Vol 2020 ◽  
pp. 1-12 ◽  
Author(s):  
Syed Atif Ali Shah ◽  
Irfan Uddin ◽  
Furqan Aziz ◽  
Shafiq Ahmad ◽  
Mahmoud Ahmad Al-Khasawneh ◽  
...  
Keyword(s):  
Neural Network ◽  
Deep Learning ◽  
Deep Neural Network ◽  
Learning Algorithms ◽  
Single Layer ◽  
Machine Learning Techniques ◽  
Learning Techniques ◽  
Proposed Model ◽  
The Cost

Organizations can grow, succeed, and sustain if their employees are committed. The main assets of an organization are those employees who are giving it a required number of hours per month, in other words, those employees who are punctual towards their attendance. Absenteeism from work is a multibillion-dollar problem, and it costs money and decreases revenue. At the time of hiring an employee, organizations do not have an objective mechanism to predict whether an employee will be punctual towards attendance or will be habitually absent. For some organizations, it can be very difficult to deal with those employees who are not punctual, as firing may be either not possible or it may have a huge cost to the organization. In this paper, we propose Neural Networks and Deep Learning algorithms that can predict the behavior of employees towards punctuality at workplace. The efficacy of the proposed method is tested with traditional machine learning techniques, and the results indicate 90.6% performance in Deep Neural Network as compared to 73.3% performance in a single-layer Neural Network and 82% performance in Decision Tree, SVM, and Random Forest. The proposed model will provide a useful mechanism to organizations that are interested to know the behavior of employees at the time of hiring and can reduce the cost of paying to inefficient or habitually absent employees. This paper is a first study of its kind to analyze the patterns of absenteeism in employees using deep learning algorithms and helps the organization to further improve the quality of life of employees and hence reduce absenteeism.

Агрономическая эффективность промышленной (голландской) технологии возделывания картофеля

2018 ◽  
Author(s):  
C. Coy ◽  
A.V. Shuravilin ◽  
O.A. Zakharova
Keyword(s):  
Heavy Metals ◽  
Regression Analysis ◽  
Positive Response ◽  
Growth Yield ◽  
Correlation And Regression Analysis ◽  
Yield And Quality ◽  
Quality Of Products ◽  
High Degree ◽  
The Impact

Приведены результаты исследований по изучению влияния промышленной технологии возделывания картофеля на развитие, урожайность и качество продукции. Выявлена положительная реакция растений на подкормку K2SO4 в период посадки. Корреляционно-регрессионный анализ урожайности и качества клубней выявил высокую степень достоверности результатов опыта. Содержание нитратов и тяжелых металлов в клубнях было ниже допустимых величин.The results of studies on the impact of industrial technology of potato cultivation on growth, yield and quality of products. There was a positive response of plants to fertilizer K2SO4 in the period of planting. Correlation and regression analysis of yield and quality of tubers revealed a high degree of reliability of the results of experience. The contents of nitrates and heavy metals in tubers was below the permissible values.

Pengaruh Kompetensi Coder terhadap Keakuratan dan Ketepatan Pengkodean Menggunakan ICD 10 di Rumah Sakit X Pekanbaru Tahun 2016

2018 ◽  
Vol 1 (1) ◽  
pp. 31-43
Author(s):  
Nur Maimun ◽  
Jihan Natassa ◽  
Wen Via Trisna ◽  
Yeye Supriatin
Keyword(s):  
Medical Record ◽  
Human Error ◽  
Medical Personnel ◽  
Quality Of Data ◽  
Accuracy And Precision ◽  
Result Show ◽  
Study Implementation ◽  
Icd 10 ◽  
The Cost

The accuracy in administering the diagnosis code was the important matter for medical recorder, quality of data was the most important thing for health information management of medical recorder. This study aims to know the coder competency for accuracy and precision of using ICD 10 at X Hospital in Pekanbaru. This study was a qualitative method with case study implementation from five informan. The result show that medical personnel (doctor) have never received a training about coding, doctors writing that hard and difficult to read, failure for making diagnoses code or procedures, doctor used an usual abbreviations that are not standard, theres still an officer who are not understand about the nomenclature and mastering anatomy phatology, facilities and infrastructure were supported for accuracy and precision of the existing code. The errors of coding always happen because there is a human error. The accuracy and precision in coding very influence against the cost of INA CBGs, medical and the committee did most of the work in the case of severity level III, while medical record had a role in monitoring or evaluation of coding implementation. If there are resumes that is not clearly case mix team check file needed medical record the result the diagnoses or coding for conformity. Keywords: coder competency, accuracy and precision of coding, ICD 10

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