bluuebunny/crossref_metadata_2025 huggingface dataset:
Prácticas de fundamento de ciencias de la materia: equilibrio químico. Desplazamiento del equilibrio químico por efecto del ion común.
Authors: Begines Ruiz Belén , Alcudia Cruz Ana , Moreno Rodríguez Nazaret , Galbis Fuster Elsa , Benito Hernández Elena María
Published: February 2021

Una reacción reversible alcanza el equilibrio químico cuando la velocidad de la reacción directa se igual a la velocidad de la reacción inversa, lo que provoca que las concentraciones de cada especie permanezcan constantes con el tiempo. En esta práctica se demostrará cómo esta posición de equilibrio puede ser modificada, entre otros parámetros, por la alteración de la concentración de una de las especies. Más concretamente, se observará cómo la adición de un ión común (una especie que ya forma parte de la reacción que está en equilibrio) desplaza el equilibrio en un sentido o en otro en función de si este ion es un reactivo o un producto.

Las reacciones químicas reversibles son reacciones que se pueden dar en ambos sentidos de la ecuación química, es decir, que los reactivos reaccionan para dar productos (reacción directa), pero, a su vez, los productos también pueden reaccionar para generar reactivos (reacción inversa). Cuando la velocidad de la reacción directa se iguala a la velocidad de la reacción inversa, la reacción alcanza su posición de equilibrio y se cumple que las concentraciones de todas las especies permanecen constantes con el tiempo. Sin embargo, existen diversas formas en las que una reacción que está en equilibrio puede ser perturbada. Según la ley de Le Chatelier, “si un sistema en equilibrio es perturbado por un cambio de temperatura, presión o concentración de uno de los componentes, el sistema desplazará su posición de equilibrio de modo que se contrarreste el efecto de la perturbación”. En esta práctica se observará cómo, modificando la concentración de alguna de las especies que intervienen en una reacción que se encuentra en equilibrio, la reacción evolucionará para compensar esta modificación.
IUSNATURALISMO POST POSITIVISTA Y PROPUESTA DE LEY UNIVERSAL DE EXTINCIÓN DE DOMINIO DE BIENES RELACIONADOS CON ACTIVIDADES EN ARMAS NUCLEARES Y DE DESTRUCCIÓN MASIVA
Authors: Quispe Salsavilca David
Published: February 2021

Con una metodología holística, y una posición filosófica hermenéutica que interpreta la circunstancia post Auschwitz como circunstancia apocalíptica por el riesgo ecológico y arsenal de armas nucleares, se interpreta el cambio de paradigma del Estado Legislativo al Estado Constitucional como insuficiente para responder al desafío actual de supervivencia de la especie humana. En ese sentido, se propone un Iusnaturalismo post positivista capaz de sustentar filosóficamente la propuesta de la Ley Universal de Extinción de Dominio de bienes relacionados con actividades en Armas nucleares y de destrucción masiva que se presenta con este artículo.
MONITORING HUMAN CAPITAL DEVELOPMENT CONDITIONS IN RURAL AREAS
Authors:   Voronezh Federal Agrarian Scientific Center, Zakshevskiy V.G. , Gavrilova Z.V. ,   Voronezh Federal Agrarian Scientific Center
Published: February 2021

The article discusses the problems that arise when monitoring the conditions for the development of human capital in rural areas, since, despite the sufficient number of works on monitoring the human capital in rural areas or the agricultural sector, the integral system of quantitative socio-economic indicators for assessing the human capital development conditions in rural areas remains poorly studied. First of all, a basic concept of monitoring is given, as well as an applied concept - monitoring the human capital development conditions in rural areas, which is understood as a system of constant monitoring, collection, registration, storage and analysis of several key parameters that assess the conditions for the formation and development of congenital and accumulated physical, mental and personal abilities and qualities of the population of rural areas, as well as acquiring knowledge and skills that can be used by them in order to deliver economic income or social effect. The monitoring process is presented in detail in the relationship of this category with concepts close to it (diagnostics, as a preliminary stage, monitoring as the main stage, appropriate policy development, as the final stage). The diversity of monitoring indicators used in the social sphere of human life is reflected: for rural areas, for the agrarian sphere, for the regional socio-economic system, for the development of municipalities' social and labor systems, for social factors of the region's development, etc. The authors' idea of an integral system of indicators for monitoring the human capital development conditions in rural areas is given, which is a combination of six blocks: health care, education, culture and sports, demography and migration, infrastructure, as well as socio-economic conditions.
MORE ON THE QUESTION OF RURAL AREAS MULTIFUNCTIONALITY
Authors:   St. Petersburg Federal Research Center of the Russian Academy of Sciences, Kostyaev A.I. , Letunov S.B. ,   St. Petersburg Federal Research Center of the Russian Academy of Sciences
Published: February 2021

The approaches of Russian and foreign scientists to studying rural areas multifunctionality differ significantly. Domestic researchers consider this problem from the standpoint of public goods in agricultural production, agricultural production diversification, rural population livelihoods, land use, and sustainable development of rural areas. In all cases, we are talking about implementation of functions within rural areas without raising the question of buying and selling their intangible attributes. In foreign publications, two pragmatic approaches are seen within the concept of multifunctionality. The first approach is the market perception of rural areas as consumer spaces. In this case, the intangible attributes of the territories (landscape, nature, heritage or culture) are considered as a sold and bought product. The second approach is an approach from the standpoint of protection against negative market consequences in international food trade. The non-productive functions of agriculture are taken into account in the WTO negotiations as non-trade factors. This helps to protect the agriculture of many countries from the destructive effects of foreign trade. The article proposes to move from staged studies of the issue of multifunctionality to a constructive consideration of the material and non-material potential for implementing the rural areas' production and non-production functions. The purpose of the study is to determine the material and non-material basis of rural areas multifunctionality using the example of the North-West of Russia. The objectives of the study are to establish the capabilities of rural areas to perform their functions of: a) the international, b) the federal, c) the regional and d) the local significance; and on the basis of the idea of multifunctionality, to determine the ways for creating consumer spaces in rural areas. The following methods were used: decomposition of goals, the index one, the monographic and the grouping method. We used the materials by: Rosstat, Ministry of Natural Resources of Russia, Ministry of Culture of Russia. Municipal areas with the orientation of agricultural products to the international, federal and regional markets have been identified. The characteristic of intangible attributes - the carriers of non-production functions of rural areas for the international, federal, regional and local levels - was given. The objects of specially protected natural areas and objects of cultural heritage are considered in accordance with their level of importance. The sequence of forming the consumer spaces in rural areas has been established in the direction from defining a geographical image through creating an image to developing a brand.
RESEARCH OF THE NATIONAL ORGANIC AGRICULTURE SYSTEMS
Authors:   Volga Research Institute of Economics and the Organization of the Agro-Industrial Complex, Leksina A.A. , Aleshina E.A. ,   Volga Research Institute of Economics and the Organization of the Agro-Industrial Complex
Published: February 2021

Organic agriculture is a promising and increasingly demanded direction of “greening” agricultural activity, which has a great potential due to natural production technologies. Significant segments of organic products have been formed in the food markets of the developed countries; various institutional systems of the industry have been functioning for decades. Russian agribusiness is globally lagging behind in these matters, but the development of the economic environment has led to the objective necessity of adopting a law and a state standard that would define the requirements for the organic agriculture. Research on the prospects of the Russian food market in the global organic production system is becoming relevant. This work is a two-sided quantitative and qualitative approach to the study of existing production systems of organic food from the standpoint of the results and dynamics, on the one hand, and their organizational and economic structure, on the other. The findings and results are confirmed by the presented and systematized absolute and relative indicators of land areas certified for organic agriculture, the number of market entities, the consumption of organic food per capita and retail sales in the domestic markets. The qualitative characteristic of organic agriculture systems was reflected in constructing a set of schemes that clearly illustrate national features of the conduct methods, state regulation of production and turnover, research support, regulatory and supervisory support of the business under study. As a result, a comparative analysis of the leading world markets for organic food (USA, Germany, Canada and Austria) in comparison with the emerging market of Russia. The study is addressed to the global business community operating in the organic food market and to special research institutions.
CERTIFICATION SUBSIDIZING AND ORGANIC PRODUCTION DEVELOPMENT
Authors:   Volga Research Institute of Economics and the Organization f the Agro-Industrial Complex, Bryzgalina M A.
Published: February 2021

The demand for organic food is a prerequisite for the formation and development of organic agriculture, and the task of promoting it on domestic and foreign markets is among the priority ones. A serious problem in the sale of this category of goods to the domestic food markets of the country is the distrust of potential consumers. It is possible to solve this problem through certification and the use of a well-known brand. Certification of manufacturers of environmentally friendly products is a rather complicated and expensive procedure, therefore it is not available for most agricultural producers in the Saratov region. However, basing on the fact that today the task of developing the organic agriculture industry is set at the level of the government of the country, it is possible to solve this problem with the support of the state. The article examines the enterprises of the Saratov region of various legal forms, which do not use fertilizers and chemical means of crop protection in the production of crop production. Using the example of agricultural organizations and farms in the region, a mechanism for subsidizing certification of the most promising producers of organic wheat (winter and spring) is proposed, which includes the allocation of targeted subsidies for its implementation. As a criterion for the selection of applicants for this type of state support, as well as the distribution of budgetary resources between them, it is proposed to use the average indicator (potential) of the annual volume of organic production in the work. As a result, direct participants in certification subsidies were selected from the compiled sample of the studied enterprises that do not use chemical plant protection products and mineral fertilizers and the total annual volume of their marketable wheat was determined. The author determined the maximum cost of quality confirmation procedures for one enterprise, taking into account the increasing coefficients per one day of inspection, and also established the largest amount of budgetary resources that may be spent on the implementation of the proposed measure. In order to evaluate the effectiveness of the proposed certification subsidy mechanism, the author developed formulas for determining the selling price of products in the promising organic segment, taking into account its increase by the level of premium premiums.
ORGANIZATIONAL AND ECONOMIC MECHANISM FOR REGULATING THE MIGRATION OF ABLE-BODIED RURAL POPULATION IN THE REGION
Authors:   Volga Research Institute of Economics and the Organization of the AgroIndustrial Complex, Yurkova M.S. , Glukhov S.G. ,   Volga Research Institute of Economics and the Organization of the Agro-Industrial Complex, Kryuchkov G. G. ,   Volga Research Institute of Economics and the Organization of the AgroIndustrial Complex
Published: February 2021

A mechanism has been developed to regulate the migration of the able-bodied rural population, taking into account the identified attractive and repulsive factors (income level, availability of medical services and general educational organizations) for groups of municipal districts depending on the level of demographic distress (depressed; partially depressed; border values that are borderline and successful). Through the mechanism for implementing decisions with regulatory support, taking into account municipal strategies for socio-economic development, a targeted administrative and managerial impact on business entities, the working population, social infrastructure and the socio-economic sphere of depressed, partially depressed, border and favorable regions of the region is substantiated. The mechanism is controlled by an interdepartmental commission on rural development under the relevant ministry (agriculture of the region) and is carried out using the tools of the organizational and economic module. These tools provide: improvement of social infrastructure, social guarantees and transparency in the labor market, stable earnings, provision of housing for professionals through long-term labor contracts (at least 10 years), the allocation of enterprises own funds for free assistance for overhaul and maintenance of social infrastructure facilities, implementation of investment projects in the areas of specialization of differentiated groups of regions, including crop production (mainly vegetable farming of closed soil) and livestock farming (sheep, fish farming, poultry farming), as well as the modernization and revitalization of the production and processing infrastructure of the agro-industrial complex (grain crops, elevators, slaughter shops, deep processing workshops). The systemic impact of the mechanism will create 726 additional jobs in the agricultural sectors in the Baltay, Petrovsk, Turki, Voskresenskoe, Novouzensk and Krasnoarmeysk districts and reduce the existing outflow of the population.
PARAMETRIC CONTROL OF LAND RELATIONS IN THE AGRICULTURAL SECTOR OF THE ECONOMY
Authors:   Volga Research Institute of Economics and theOrganization of the Agro-Industrial Complex, Adadimova L.Yu. , Polulyakh Yu.G. ,   Volga Research Institute of Economics and the Organization of the Agro-Industrial Complex
Published: February 2021

The possibility of establishing parity in land relations in the agricultural sector and monitoring its observance in the context of digitalization and economic growth is being considered. General scientific methods of economic research and specific methodological approaches to the assessment of income-generating real estate (cost, profitable, comparative) are applied. The necessity of introducing into circulation the terms “parity of land relations” and their “parametric control” is substantiated. Participants in land relations are: the state (organizer and executor of the cadastral land valuation), local governments (recipients of the land tax), owners of the land plots, tenants (producers). A parametric control mechanism for the parity of land relations is proposed, which ensures the observance of the rights for all participants in these relations in terms of deriving economic results from using agricultural land, as well as contributing to the increase of the market efficiency for these lands. The developed mechanism (method) allows: to find violations in the balance of interests between the owners of land plots (land shares), their tenants and governing bodies at the regional and municipal levels; to identify the causes of emerging conflicts; to eliminate them or prevent their occurrence. Recommendations based on the results of the analysis can be reduced, first of all, to selecting an adequate value of the land rent capitalization coefficient in the process of agricultural land cadastral valuation, as well as adjusting the cadastral value of land plots (land shares), if possible, and changing the land tax rates and the rent size.
REGIONAL ORGANIC AGRICULTURE DEVELOPMENT IN THE CONTEXT OF EUROPEAN EXPERIENCE OF STATE SUPPORT FOR THE CROP PRODUCTION SECTOR
Authors:   Volga Research Institute of Economics and the Organization of the Agro-Industrial Complex, Nesmyslenov A.P.
Published: February 2021

The article examines methodological approaches to assessing the competitiveness (efficiency) of directions for the developing organic production based on current ideas of agricultural scientific thought about sustainable development, with the use of existing foreign experience, as well as to substantiating and formulating conceptual proposals for developing the particular regional market. The article analyzes the situation, approaches and possibilities of regulating the production of organic plant growing in foreign countries, and the implementation of positive experience with enactment of the Law of the Russian Federation “On organic products and on amendments to certain legislative acts of the Russian Federation” and adhering to the requirements of the interstate standard GOST 33980-2016 “Organic products. Rules for production, processing, labeling and sale”, as well as scientific substantiation of conceptual proposals for the future development of production and the functioning of the market for these products. The process of forming a system of organic crop production (farming) is considered as an integral element in the agro-industrial system of the region and the country. The fundamental principles are the development and implementation of incentives for the production of organic products that ensure the environmental food safety. The specific directions and rates of subsidies used to stimulate the development of organic crop production and the possibility of their application in the region were also investigated, applied in the implementation of the program in the Austrian Republic “ÖPUL”. The structure of agricultural production in the region demonstrates the high economic potential of citizens’ private households in organic farming. An assessment of the productivity of cultivation of major crops in the region by categories of farms has been carried out. The advantages of small-scale farming in the development of organic crop production are confirmed by the studied experience of the Republic of Austria.
Konsep Waris Anak Angkat dalam Wasiat Wajibah Perspektif KHI dan Prof. Wahbah Zuhaili
Authors: Farikha Nur , Zuhri M. Ali Syaifudin
Published: February 2021

When a human couple performs a marriage, then both are not blessed with a child. One way for the couple is to adopt a child, the law is fine as long as it fulfills the conditions prescribed by religion. This was done by the Prophet Muhammad. Adoption of children must meet state requirements, namely through court channels. Because something related to the rules certainly has a positive impact on the public, namely maslahah ummah. There are several legal consequences when someone is adopted as a child, one of which is if one of the adoptive parents or the adopted child has died there is an appreciation given by one of them. The author conducted this research to describe the concept of wills for adopted children in the distribution of inheritance according to KHI and Prof. Wahbah Zuhaili. The author in this study uses the analytical approach research method, namely an approach that is carried out by analyzing the thoughts of a character in this case Prof. Zuhaili, and its comparison with KHI. The conclusion found in this study is the wills of the compulsory will be something very new in Islam, especially when it comes to adopted children. Therefore, the concept of inheritance for adopted children is in the form of a mandatory will, which has been stipulated in the Islamic Law Compilation that a will when it is not disclosed by the adoptive parents, the adopted child will still receive a will, at most a third of the assets of the adoptive parents. Meanwhile, Prof. Wahbah Zuhaili stated that the will is obligatory for relatives and parents (people who are related by blood) because they are prevented from inheriting.
Dampak Medioker di Era Jokowi-Jk terhadap Welfare State Berdasarkan UU No. 17 Tahun 2007 tentang RPJP Nasional
Authors: Hubbah Maulida Maulaya
Published: February 2021

President Joko Widodo and his deputy Jusuf Kalla after being inaugurated to form and inaugurate his cabinet on October 27, 2014, however, there are several names of ministers whose capacity is still in doubt, because they still involve ministers indicated in corruption cases as reported by the People's Decree Movement and the Civil Coalition to the Commission Corruption Eradication (KPK). Therefore, in the end, it raises public concern regarding its work ethic which will have an impact on the vision of the welfare state of the Indonesian State based on Law Number 17 of 2007 concerning the National Long-Term Development Plan (RPJPN). The focus of the problems examined in this thesis are 1). How is the process of preparing the Cabinet for the Jokowi-JK era for the 2014-2019 period. 2). What is the mediocre impact of the Jokowi-JK administration on the vision of the welfare state based on Law Number 17 of 2007 concerning the National Long-Term Development Plan (RPJPN)? This research is carried out by reviewing and examining written sources relevant to the object of discussion so that clear data can be obtained, the object of study includes basic norms or rules, legal principles, laws, and regulations so that it is termed normative legal research. or also known as library law research, library research.
Implementasi Prinsip-Prinsip Good Governance dalam Memajukan Kabupaten Jember
Authors: Nuris Moh Anwar
Published: February 2021

In realizing good governance in government, we need a foundation to make it happened. Good governance is the basis for the value of government administration which is oriented towards restoring the community's dignity in order to rebuild the image of the government as a just servant. This was accompanied by the increasing demands for democracy, recognition of human rights, which resulted in demands for management characterized by good governance. The results show that: (1) The application of the principles of good governance in the Jember Regency Government is still insufficient because of the many violations committed by the government (2) the process of applying the principles of good governance in advancing Jember Regency is still lacking due to the many violations committed by the government. Jember Regency Government in carrying out alleged violations of statutory regulations. Starting from the management of the State Civil Apparatus (ASN), the use of government apparatus authority, and the management of regional finances which have a massive impact on ASN and the community so that the impeachment of the Regent of Jember by the Regional House of Representatives (DPRD Jember) affects the implementation of government in Jember Regency so that it has an impact on the performance of the Regent of Jember. (3). Factors that hinder the preparation of the RAPBD in implementing the principles of good governance in Jember Regency.
Ład instytucjonalny a bezpieczeństwo narodowe w podzielonej Europie
Authors: Kamiński Antoni Z. , Kamiński Bartłomiej
Published: February 2021

In this article, we develop an analytical framework drawing upon Acemoglu’s and Robinson’s theory that links developmental potential of the state to its political and economic institutions (inclusive and extractive), and that of Etel Solingen’s relating type of governing coalitions to foreign policy strategies and regional politics. States that adopted inclusive institutions tend to be governed by internationalist coalitions and their external interactions are based on cooperation, whereas those with extractive institutions tend to pursue adversarial regional strategies. Using the developed analytical framework, the article addresses the following three questions:(1) How has the choice of a strategy for dismantling state socialism shaped the transition towards market-based democracy?(2) What impact did choices made have upon patterns of intra-European relations in terms of cooperation and confrontation?(3) What factors may explain differences in respective trajectories and external strategies?The post-communist systemic transformation took place in an international environment favouring cooperation with the elites of the former Soviet bloc in introducing institutional changes. Western friendly policies and assistance helped internationalist coalitions maintain power but had no impact on the transition from the statist-nationalist-confessional coalition, even when it was weak. Despite initial attempts and strong encouragement from international community, Russia failed to establish inclusive political and economic institutions. The prevalence of the statist-national coalition adversely affected transition processes in its immediate vicinity – primarily in the former ‘Slavic republics’, such as Ukraine and Belarus.
Design and Implementation of Concrete Thermal Storage Stove
Authors:   Dept of Physics, Ahmadu Bello University Zaria, Nigeria., Chung Gyang Davou , C. A. D Pahalson ,   Dept of Science, Plateau State Polytechnic BarkinLadi, Nigeria., Kadala Jennifer ,   Dept of Physics, Ahmadu Bello University Zaria, Nigeria.
Published: February 2021

Cooking has been an important part of mankind civilization. Several means of providing controlled heat for cooking had been developed in the past. However, as civilization grows, the use of refine fossil fuel and electric stoves became the dominant means of providing heat for cooking. The cost of refine fossil fuel had regularly fluctuated and generally increases on average. In some locations in the world, the time for supply of electricity and the duration of it availability is unpredictable. Also, the cost of electricity varies between the day and the night in some countries. These problems led to the development of a thermal storage stove. The stove use electric heating elements for direct cooking and charging the thermal energy storage unit. The stored heat energy will be use at any time of the day. The stove with a theoretically estimated heat energy storage capacity of 2.7 MJ was constructed. And from measurements, the device was found to be more effective in the first 10 hours when charged to a device dependent temperature factor of about 82 0C.
Analysis and Prediction of Breast Cancer using Machine Learning Techniques
Authors:   School of Computing Science and Engineering, VIT Bhopal University, Madhya Pradesh, India., L Shakkeera , Pandey Rahul Raj ,   School of Computing Science and Engineering, VIT Bhopal University, Madhya Pradesh, India., Bhardwaj Rahul ,   School of Computing Science and Engineering, VIT Bhopal University, Madhya Pradesh, India, Singh Sidhya Virya ,   School of Computing Science and Engineering, VIT Bhopal University, Madhya Pradesh, India., Mukherjee Siddhartha S. ,   School of Computing Science and Engineering, VIT Bhopal University, Madhya Pradesh, India.
Published: February 2021

Rapid multiplication of cells in the human body leads to cancer. It is the foremost cause of death due to cancer in females, after lung cancer. As the breast cancer is one of the recurrent kinds of cancer, diagnosis of breast cancer recurring is extremelyessential to increase the survival rate of patient suffering from it. Although cancer is avertible and also treatable in primary/early stages yet a vast number of patients are diagnosed with cancer when it is very late. Almost 8% of females are detected with breast cancer. Its characteristics are mutation of genes, constant pain, changes in the size and redness of skin texture of breasts. With the development of technology and machine learning techniques, cancer diagnosis and detection accuracy has greatly improved. This paper presents an outline of evolved machine learning techniques in this medical field by applying machine learning algorithms on breast cancer dataset like Logistic regression, Random Forest, Decision Trees (DT) etc.
Recommended System for Enhancing Tag Popularity in a Question Answering Community through Splay-net Techniques
Authors:   Department of Computer Applications, School of Science and Humanities, SRM Institute of Science and Technology, Kattankulathur campus, Chennai, India., R Jayashree
Published: February 2021

Collaborative filtering filters information by using the recommendations of peer participants. The long tail problem states users with higher points obtain a high reputation compared to less scored users. In popular community question answering websites, like stack exchange network sites, users with unanswered or ignored questions for a long time get a tumbleweed badge without considering their past history. This deteriorates their further contribution to the website. Mostly new or low-reputation people ask the tumbleweed questions. The popularity of the tags follows a long tail theory. The focus of this research work is to design a recommendation system that prevents participants from tumbleweed badge with tag suggestion method to add new or non-popular tags to the existing popular tag list. The splay-net has a self-balancing graph which brings the recently accessed item to the top of the tree. In this paper, we use the splay-net technique to represent users’ reputation along with their tags.
Stock Market Prediction and Investment using Deep Reinforcement Learning- a Continuous Training Pipeline
Authors:   CSE, MVJ College of Engineering, Bengaluru, India., R Amritha Sharma , Guha Debjyoti ,   CSE, MVJ College of Engineering, Bengaluru, India., Agarwal Hitesh ,   CSE, MVJ College of Engineering, Bengaluru, India., Harshadbhai Kothiya Meetkumar ,   CSE, MVJ College of Engineering, Bengaluru, India.
Published: February 2021

Fluctuating nature of the stock market makes it too hard to predict the future market trends and where to invest. Hence, there is a need for a cross application backed by an ultramodern architecture. With the latest advancement in Deep Reinforcement Learning, successive practical problems can be modeled and solved with human level accuracy. In this paper, an agent-based Deep Deterministic Policy Gradient system is proposed to imitate professional trading strategies which is a state-of-the-art framework that can predict and make investment of customers money with high return. In addition to this, dealing with interday trading strategy, the proposed architecture is designed as a continuous training pipeline so that the model saved is up-to-date with the recent market trends by giving higher accuracy in prediction. The framework outperforms the base reinforcement learning algorithms and maximizes portfolio return. The experimental result shows how natural language processing and statistical prediction can help us to choose the trending stock based on news headlines and historical data so that model invests money only in the market which gives higher return. To evaluate the performance of the proposed method, comparison of our portfolio results was done with various other reinforcement learning algorithms by keeping the same configuration.
Design and Analysis of Cylindrical Dielectric Resonator Antenna for 5G Application
Authors:   Research scholar, Konerulakshmaiah education foundation, Vaddeswaram and associate professor, usha Rama College of Engineering and Technology , AP, India., Surendra Loya , khan Habibulla ,   Professor and Dean Student Affairs, Konerulakshmaiah Education Foundation, Vaddeswaram, AP, India.
Published: February 2021

DRA’s are used for 5G communications of large bandwidth at sub 6GHz and millimeter to Terahertz. The channel capacity can achieve a very high data rate i.e. C=Blog2(1+SNR) where C is the channel capacity and B is the bandwidth of the channel. The cylindrical resonator antenna operating in hybrid HEM11⸹ mode. In this paper a cylindrical dielectric resonator antenna(CDRA) with frequency range (2-6GHz).The cylindrical dielectric resonator with radius r=10mm and height h=10mm. the CDRA material is alumina ceramic with a permittivity of εDRA is 9.9 and the resonant frequency is fr=4GHz. The substrate will be is Rogers RT 5880 with εr=2.2 and tan⸹=0.0009, the thickness is 1.52mm. The CDRA is excited about the microstrip line. so the cdra is coupled electromagnetically by this microstrip line and below the substrate, we have a ground plane with annealed alumina so we have no radiation or low below the substrate all the radiation is top of the CDRA. The proposed antenna is simulated using CST microwave studio software and the designed antenna will operate for 5G applications and we can consider massive MIMO antenna array configurations. This design analyses the parameters of CDRA.
Generation of an E-learning Application Through Model Programming
Authors:   research Doctor at LASTIMI Laboratory, Superior School of Technologies of Sale, Mohammadia School of engineering, Mohamed V University city of Rabat, Morocco., Srai Dr. Aziz , Fatima Pr. ,   Guerouate, is a Research Professor at LASTIMI Laboratory, Superior School of Technologies of Sale, Mohammadia School of engineering, Mohamed V University city of Rabat, Morocco., Lahsini Pr. Hilal Drissi ,   Research Professor at LASTIMI Laboratory, Superior School of Technologies of Sale, Mohammadia School of engineering, Mohamed V University city of Rabat, Morocco.
Published: February 2021

Online learning or e-learning is a growing industry, whose beginnings date back to the 1980s and even before. The model of learning in history has always been quite simple. Until the early 2000s, education took place in a class of students with a teacher leading the class. The physical presence was not in question, and any other type of learning was, at best, questionable. Then the Internet appeared, and the rest is part of the story. On the other hand, the development of computer applications to ensure this type of education is also growing, but the problem is that each application is developed according to a given technology. Developing an e-learning application for each technology requires a lot of human resources and technical knowledge and always requires a migration of each application developed to other implementation platforms as needed. the model-driven architecture approach offers full or partial development of an e-learning application while remaining independent of the implementation platform of this application. Therefore, to solve this problem we propose a development of an e-learning application according to a model-driven architecture approach.
Design of Full-Bridge Modular Multilevel Converter with Low Energy Storage Requirements for HVdc Transmission System with Fuzzy Inference System
Authors:   Department of Electrical and Electronics Engineering, Pragati Engineering College, Surampalem, Peddapuram., Rasheed Mr.Sheik , Kumar Mr.Ch.Pavan ,   Department of Electrical and Electronics Engineering, Pragati Engineering College, Surampalem., Shankar Mr.M.Mani ,   Department of Electrical and Electronics Engineering, Pragati Engineering College, Surampalem, Peddapuram.
Published: February 2021

iThis ipaper iproposes ia ihierarchical iFuzzy iInterface iSystem i(FIS) iPredicated icontrol iarchitecture idesigned ifor ian iarbitrary ihigh ivoltage imulti iterminal idc i(MTDC) inetwork. iModular imultilevel iconverter i(MMC)is ia iwell-proved icircuit itopology iin ivoltage-source iconverter-based ihigh ivoltage idirect icurrent i(VSC-HVdc) itransmission isystems. iAs iis iknown, ithe iconventional ihalf-bridge isubmodule i(HBSM)-based iMMC-HVdc iis inot isuitable ifor ioverhead iline itransmission iapplications. iIn iaddition, ihigh ienergy istorage irequirements, ii.e., ilarge icapacitance iis iinevitable. iThe iconventional idesign iof ithe ifull-bridge isubmodule i(FBSM)-based iMMC iusually idoes inot iutilize ithe inegative ivoltage istate iof iFBSM iin inormal ioperation. iConsidering ithe isame idc ivoltage ias iwith ithe iHBSM icase iand iutilizing ithe inegative ivoltage istate iof ithe iFBSM, ithis ipaper ipresents ithe idesign imethod iof ithe ipower itransmission icapability iof ia isingle iFBSM. iMeanwhile, ian ioptimized ienergy istorage icapacitance idesign imethod iof ithe iFBSM iis iproposed. iWith ithis imethod, ithe icapacitance iof iFBSM ican ibe ireduced isignificantly. iThe icorrectness iand ieffectiveness iof ithe iproposed imethod iis iverified iby ithe isimulation iof ia±160kVVSC-HVdc iMMC iand ithe icomparison iresults iof ithe idc ishort ifault iblocking iand iride ithrough icapability iare ialso iprovided.
Voltage Regulation of Hydro Standalone 1-Φ Micro Grid using Fuzzy Logic Based Adaptive Sliding Mode Control Algorithm
Authors:   Department of Electrical and Electronics Engineering, Pragati Engineering College, Surampalem, Peddapuram., Vasamsetti Mrs.Ramya , Varalakshmi Ms. S. ,   Assistant Professor in the Department of Electrical and Electronics Engineering in Pragati Engineering College, Surampalem, Peddapuram., Lakshmi Mrs. M.Manga ,   Assistant Professor in the Department of Electrical and Electronics Engineering College in Pragati Engineering College, Surampalem, Peddapuram.
Published: February 2021

This paper presents an adaptive sliding mode control (ASMC) of an improved power quality standalone single phase microgrid system. The proposed microgrid system integrates a governor-less micro-hydro turbine driven single- phase two winding self-excited induction generator (SEIG) with a wind driven permanent magnet brushless DC (PMBLDC) generator, solar photo-voltaic (PV) array and a battery energy storage system (BESS). These renewable energy sources are integrated using only one single-phase voltage source converter (VSC). The ASMC based control algorithm is used to estimate the reference source current which controls the single-phase VSC and regulates the voltage and frequency of the microgrid in addition to harmonics current mitigation. The proposed ASMC estimates the reference real and reactive powers of the system, which is adaptive to the fluctuating loads. The sliding mode control is used to estimate the reference real power of the system to maintain the energy balance among wind, micro-hydro, solar PV power and BESS, which controls the frequency of standalone microgrid. The proposed microgrid is implemented in real time using a DSP (Digital Signal Processor) controller. Test results of proposed microgrid shows that the grid voltage and frequency are maintained constant while the system is following a sudden change in loads and under intermittent penetration of wind and solar energy sources.
Digital Technology for Assessing the Color of Textile Materials
Authors:   department of Physics, Plekhanov Russian University of Economics, Moscow, Russia., Nicolay I Gerasimenko , Elena Y. Raykova ,   department of Commodity Science, Plekhanov Russian University of Economics, Moscow, Russia.
Published: February 2021

One way to express yourself in clothes is through color. Color is a tool of influence. It determines the aesthetic properties of clothing. At the same time, the nature of color is physical, which allows for an objective assessment. The proposed article substantiates the possibility of using a flatbed scanner to measure the color characteristics of textile materials. This topic is very relevant today, which makes the work useful for professionals interested in studying the characteristics and color stability of textile materials. The presented method differs in the speed of data processing. All information about the color characteristics of product samples can be obtained in one test. Experimental data are presented in digital form, which increases the accuracy and reduces the complexity of further processing.
Bayesian Estimation and Prediction of Three-Parameter Complementary Exponential Power Distribution using MCMC Technique
Authors:   Associate Professor of Department of Management Science(Statistics), Nepal Commerce Campus, Tribhuwan University, Nepal., Chaudhary Arun Kumar , Kumar Vijay ,   Department of Mathematics and Statistics, DDU Gorakhpur University, Gorakhpur, India.
Published: February 2021

The Markov chain Monte Carlo (MCMC) technique is applied for estimating the Complementary Exponential Power (CEP) distribution's parameters through the analysis of complete sample in this article. With the help of the Bayesian and the Maximum Likelihood techniques, the unknown parameters of the model are estimated. To find Complementary Exponential Power distribution's parameters' Bayesian estimates, a new methodology is developed, via simulation method of MCMC through the application of OpenBUGS platform. To demonstrate under the gamma and uniform sets of priors, a real data set is taken. The generations of posterior MCMC samples is conducted with OpenBUGS software. For analyzing the output of so generated MCMC samples, and studying the statistical properties, distribution's comparison tools and model validation the functions of R have been used. The credible interval and predicted of the reliability, hazard and modal parameters' values are also estimated. We have shown that Bayesian estimators are more efficient than classical estimators for any real data set.
Applying Government Schemes in Rural Sectors Prediction System for Evaluation of Data Science Algorithm
Authors:   CSE, National Engineering College, Kovilpatti, Thothukoodi, India., Maheswari Dr. S , Kalaiselvi S. ,   CSE, National Engineering College, Kovilpatti, Thothukoodi, India., Selvi D.Thamarai ,   CSE, National Engineering College, Kovilpatti, Thothukoodi, India., Manochitra M. ,   CSE, National Engineering College, Kovilpatti, Thothukoodi, India.
Published: February 2021

The administration dispatches different aggressive projects attempting to make the nation more prosperous, yet what they bomb is in fruitful execution and coming to recipients. The fundamental explanation for this issue is the absence of mindfulness among rustic individuals. This paper is to give an answer for this uninformed circumstance. Through this framework the rustic understudies will be instructed such that they can become acquainted with about what are the different plans that are outfitted by the administration and what are the plans they are qualified for. On the off chance that the country understudies came to know and get mindful of the apparent multitude of legislative plans gave by the Government of India for the government assistance of the provincial understudies, at that point their life would venture into next level. At first this framework will investigate the accessible government plans in the instructive for the government assistance of country understudies. Next, the understudy’s information ((i.e.) name, age, station, occupation, annualincome.etc) are accumulated. At that point; both the datasets are brought into the Anaconda Navigator. At that point, investigation and grouping dependent on networks (SC, ST, BC and MBC) of the understudies and the plans are performed. At that point utilizing the forecast calculations (Naïve Bayes, Random Forest and Support Vector Machine (SVM)) what are generally the plans the specific understudy is qualified for are anticipated. An investigation is made on the proficiency of the three calculations. The exactness of the three calculations is broke down and the effective calculation which creates the outcome with most elevated precision is at last used to play out the forecast of the plans that a specific understudy is qualified for. At long last, the anticipated plans anticipated utilizing the most elevated effective calculation among the three calculations will be gotten back to the understudies. Hence, through this undertaking the rustic understudies will come to think about different recipient plans gave by government and they can use those plans for the improvement of the country environmental factors.
Remaining Useful Life Prediction on Wind Turbine Gearbox
Authors:   Vestas Technology R&D Private Limited, Chennai., Srinivasan R , Robert T Paul ,   Department of Industrial Engineering, Anna University, Chennai.
Published: February 2021

This research proposes a methodology to estimate the reliability of gearbox using life data analysis and predict the Lifetime Use Estimation (LUE). Life data analysis involves collection of historical field replacements of gearbox and perform statistical analysis such as Weibull analysis to estimate the reliability. Remaining useful life is estimated by using Cumulative damage model and data-driven methods. The first approach is based on the physics of failure models of degradation and the second approach is based on the operational, environmental & loads data provided by the design team which is translated into a mathematical model that represent the behavior of the degradation. Data-driven method is used in this research, where the different performance data from components are exploited to model the degradation’s behavior. LUE is used to make key business decisions such as planning of spares, service cost and increase availability of wind turbine. Gearbox is the heart of the wind turbine and it is made up of several stages of helical/planetary gears. Performance data is acquired separately for each of these stages and LUE is calculated individually. The individual LUE is then rolled up to estimate the overall Lifetime Use Estimation of gearbox. This will identify the weak link which is going to fail first and the failure mode which is driving the primary failure can be identified. Finally, corrective measures can be planned accordingly. The cumulated damage and LUE are estimated by using Inverse power law damage model along with Miner’s rule.
Processing and Characterization of Graphene Reinforced Al2O3 Composite
Authors:   Department of Mechanical Engineering, University College of Engineering, JNTUK, Kakinada., Krishna A.Gopala , Raju R Peddi ,   Research Scholar, Department of Mechanical Engineering, University College of Engineering, JNTUK, Kakinada.
Published: February 2021

Because of stiff competition, industries are in continuous pressure of producing high quality products. To do so, inevitably high quality cutting tools are required. Alumina (Al2O3) is a quality cutting tool that is used for high speed machining. It is a widely used tool for machining cast iron, hard steels and super alloys. Therefore, the present work has taken up to prepare an alumina cutting tool material. One of the greatest drawbacks of alumina cutting tool material is its low fracture toughness. In the present work, Graphene nanoplatelets (GNPs) are considered the reinforcement in the Al2O3ceramic matrix to not only improve the fracture toughness but also the other properties. The composites are fabricated by the powder metallurgy route where the powders of raw materials are essentially subjected to compaction and sintering. Once the Al2O3 composites are fabricated and their properties are tested for their density, hardness and fracture toughness. It is observed that the GNP reinforced composites have much better properties than those of the composites without GNPs. Keywords : Graphene nanoplatelets, Al2O3 cutting tool, powder metallurgy, properties testing