Huge Scale Research Articles

Methodological Approaches to the Evaluation of Investment Efficiency Taking into Account Environmental Factors

A huge scale of the industry connected with mining mostly non-renewable natural resources and increasing negative impact of the industrial activity on the environment result in an increasing number of environmental catastrophes and disturbance of the natural environmental balance. The global community must design an effective model of “sustainable development” to balance economy, nature and mankind. This issue is especially urgent for the Far East, its northern part, as the nature there is highly vulnerable, the environment has a long recovery period; it is also characterized by permafrost and more expensive resources. At the same time, the number of natural resource mining projects is on the rise. They inflict permanent damage on the environment. Therefore, selection of investment projects and evaluation of their effectiveness from the point of view of not only commercialization, but also of minimization of consequences for the environment is the most urgent issue. The purpose of this article is to develop approaches to the evaluation of investment efficiency taking into account environmental factors. Various methods were used throughout the study, such as comparison, methods of mathematical modelling in economics, induction, and generalization. The article describes three stages of evaluation of how investment projects affect the environment to evaluate projects from the point of view of their impact on the environment. This allows classifying projects by their impact on the nature and determine economic effect with or without consideration of environmental impact. A clarified method based on classification features of investment projects for analyzing investment efficiency was proposed. The author proposed a method of calculating indicators of environmental-economic effectiveness taking into account inflicted (or possible) environmental damage.

“Good faith debtors” and the deservingness of debt relief during the Spanish home repossessions crisis

In the early years of the recent economic crisis in Spain, as the rate of mortgage default began to raise, hegemonic discourses depicted defaulting debtors as having lived “beyond their means,” and therefore as culprits of their own situation. From 2009 on, given the huge scale of the phenomenon and promoted by anti-repossessions movements, an alternative narrative emerged: the crisis was redefined as a collective scam perpetrated by banking elites, with the complicity of public authorities. The tension between both narratives sets the basis for moral judgements that establish the deservingness of different forms of debt relief and material support. The categorisation of debtors as “deserving” or “undeserving” may either be defined by law, or result from assessments made by welfare institutions, bank employees, members of the anti-repossessions movement, debtors’ social networks, and debtors themselves. However, not all of these judgements have equal chances to turn into actual access to debt relief.

OFFLINE MOBILE BASED OTP TECHNOLOGY FOR ENTERPRISE IOT ENABLED ARCHITECTURE IN BANKING CASH LOGISTICS & ATM OPERATIONS

The has been in presence for more than 40 years now and the expression Internet of Things (IoT) has been being used since huge scale appropriation of RFID started 10 years back. IoT empowers things to convey about themselves and their condition with different things and PCs and enable them to take an interest in business procedures and regular day to day existences of individuals. Many financial frameworks have fulfilled the 2FA necessities by sending a One Time Password (OTP), something had, through a SMS to the client's telephone gadget. Unfortunately, universal roaming and SMS expenses and delays put restrictions on this system reliability. It gives a stage to correspondence between objects where items can compose and oversee themselves. By analyzing current technology research and by investigating future application situations for the of Things, this paper will feature out its potentially huge advantages in the cash logistics and ATM operations.

Design and optimization of distillation column sequencing for NGL fractionation processes

NGL fractionation is one of the most energy-intensive facilities in hydrocarbon processing plants playing an important role in the petrochemical supply chain. Innovative schemes for multicomponent distillation processes made the opportunity to attain more justifiable fractionation processes. The current study presents a systematic procedure to design and optimize both simple and complex distillation schemes based on the separation matrix approach and applies it to a NGL feedstock. A modular design approach is presented for the ultimate rigorous evaluation. The genetic algorithm with a hybrid objective function that minimizes the TAC and checks products specifications simultaneously carries out optimization. The results demonstrate the capability of complex distillation sequences in process improvements, reducing costs and saving energy in NGL fractionation plants resulting in reductions of up to 3.5% in annual operating costs, which is very significant bearing in mind the huge NGL fractionation scale of operation.

Usability of Mobile Assisted Language Learning App

The aim of this study is to evaluate the usability of Mobile Assisted Language Learning i.e. Literacy and Numeracy Drive (LND) which is smartphone application to learn language and mathematics in public sector primary schools of Punjab, the biggest province of Pakistan. In this study, usability tests were conducted which included surveys of questionnaires from teachers and students. The user experience, reliability, and performance of mobile application assessed, along with user satisfaction. The LND mobile application has not been found to be successful, with a poor user interface and requires improvement. The Using Experience, Ease of Use and Usefulness variables have been the lowest scorers in terms of user experience. Mobile device specifications were not simple and confusing; the services provided by the LND were not appealing and effective for students or teachers. This research suggested several improvements in the usability and functionality of this LND application based on assessed user experience. Many schools have chosen to use mobile apps for the teaching and evaluation of language at school. The use of mobile-assisted learning at public sector schools in Punjab, invites us to gauge the usability and effectiveness of this approach at such a huge scale which will make it more effective.

Consumer Perception and SWOT Analysis of Organic Food Products

The development in the populace and the futures in the twentieth century has expanded the use of natural nourishment items. Customers' mindfulness is worried to item attributes investigation and acknowledgment by buyers. Numerous customers see natural nourishments to be of better quality, more advantageous and more nutritious than nourishment created utilizing traditional techniques, however convincing examination on potential impacts on a creature and human wellbeing is deficient. The Organic nourishment area is frail because of specific reasons such as, absence of reach, wrong dispersion channels, absence of retail arrangement, and so forth. Cleanliness, human prosperity and common stress close by material properties, for instance, nutritive worth, taste, freshness and appearance sway normal sustenance client tendencies. Measurement variables may portray normal clients, yet the association isn't incredibly basic. Clients similarly accomplice normal sustenance with basic technique, care for the earth and animal welfare and the non-use of pesticides and manures. The superior worth continues covering common sustenance usage. Understanding the grounds of extending the degree of characteristic sustenance usage, for instance, motivation is most fundamental in understanding the ability of the regular sustenance to transform into a truly standard market. This paper dissects the total investigation about the mindfulness among the buyers in Rajapalayam Taluk. The analyst has utilized Chi – Square Test, Percentage Analysis to decide the degree of buyer mindfulness. Through this investigation, it is found that customers are having a superior discernment about natural nourishment items. The interest in natural nourishment items are expanding step by step on an exceptionally huge scale as individuals are getting progressively cognizant about well-being and the earth. India is a developing business sector on account of natural nourishments and the interest for natural items is quickly expanding. Natural cultivating is one of the most significant and inclining sections in cultivating in India during this time.

Molecules of Interest – Embelin – A Review

Embelin (2,5-dihydroxy-3-undecyl-1,4-benzoquinone) is an alkyl substituted hydroxy quinone isolated from numerous medicinal plants and mainly from Embelia ribes. It exhibits a wide range of biological activities and also in numerous cases is accountable for the traditional practice of its natural sources. It has been shown to reveal various pharmacological activities, and thus has several possible applications in clinical research. This review presents a comprehensive literature search of diverse studies carried out on embelin, especially its antidiabetic, cardioprotective, neuroprotective, anti-inflammatory, antiviral, antimicrobial, antioxidant, wound healing antifertility, analgesic and anticancer activities. The importance of the present review is on the chemistry and biological activities of embelin in addition to coherent and environmentally acceptable methods for establishment of this natural compound on a huge scale. Therefore, further research may help in exploiting its properties and emergent phyto-pharmaceuticals based on it.

Особенности применения геоинформационных систем и технологий для решения производственных задач ОАО "Российские железные дороги"

The article discusses the possibility of creating effective geoinformation technologies to improve the operation of JSC "Russian Railways". The need for them is due to the huge scale of the territories occupied by the railway infrastructure, and the specifics of work activities that are associated with the organization of the transportation process. It is proposed to follow five principles when creating a unified railway GEODATA database: the use of a single coordinate base, the uniqueness of each object and the use of geographical coordinates as the primary key, the definition of a generalized graph of the railway network using a digital path model, the use of existing geoinformation resources, continuous updating and updating of information. Key words: geoinformation technology, single database, the railroad, digital model of the road.

Optimization of Sports Fitness Management System Based on Internet of Health Things

Due to the huge scale of the Internet of Health Things (IoHT), various research methods currently applied in the field of Internet of Health Things are limited to the technical problems themselves, which lack a macro grasp of the entire Internet of Things (IoT) system. The verification of the proposed technical scheme requires the purchase of a large number of hardware devices, but as a result, only relatively limited research models can be constructed, which makes the entire system long management cycle and high management cost. Based on the research of particle swarm optimization algorithm, this paper finds its shortcomings and makes corresponding improvements. A new improved method of particle swarm optimization algorithm is proposed. By introducing the method of average particle distance and population distribution entropy in the algorithm search process, the inertia weight is dynamically changed. This is conducive to the improvement of the optimization efficiency of the particle swarm optimization algorithm, and has a good optimization accuracy. A IoHTs modeling method for component collaboration is proposed, and the IoHTs component library is designed according to the proposed modeling method. At the same time, this article discusses the XModel modeling simulation platform, and builds a IoHTs component model based on this platform, and has completed the verification of the validity of the proposed modeling method and the feasibility of the IoHTs IPv6 communication scheme. The component library designed in the XModel platform is based on the functions of IoT devices, and the components have more complete network communication features. The XModel platform specifically customizes the CMIoT component library, and supports the continuous expansion of the component library and the continuous refinement of component functions, providing a new method for communication research in the Internet of Health Things field.

Improving the Security and Authentication of the Cloud with IoT using Hybrid Optimization Based Quantum Hash Function

The security with the protection of IoT is to stay a consequential test, for the most part, because of the huge scale and dispersed nature of IoT systems. A cloud server brings wide pertinence of IoT in numerous businesses just as Government parts. Be that as it may, the security concerns, for example, verification and information protection of these gadgets assume a key job in fruitful coordination of two innovations. To build the security here, a quantum hash work system and hybrid cuckoo search-Artificial Bee Colony algorithm is displayed. A quantum hash work has been presented as an amazing system for secure correspondence of IoT and cloud because of its irregular disordered robust execution, greater affectability for introductory authority dimension, steadiness, and the exceptionally huge crucial area is hypothetically sufficiently able to oppose different known assaults. Cloud servers utilizing CS-ABC to upgrading the safe calculations through a quantum channel inside the cloud framework. Execution examinations and recreation outcomes demonstrate our presented methods are portrayed and also have greater safety, proficiency with strength opposed to a few surely understood assaults which choose them as a great contender for verifying cloud and IoT applications.

A fast matching algorithm for the images with large scale disparity

With the expansion of application areas of unmanned aerial vehicle (UAV) applications, there is a rising demand to realize UAV navigation by means of computer vision. Speeded-Up Robust Features (SURF) is an ideal image matching algorithm to be applied to solve the location for UAV. However, if there is a large scale difference between two images with the same scene taken by UAV and satellite respectively, it is difficult to apply SURF to complete the accurate image matching directly. In this paper, a fast image matching algorithm which can bridge the huge scale gap is proposed. The fast matching algorithm searches an optimal scaling ratio based on the ground distance represented by pixel. Meanwhile, a validity index for validating the performance of matching is given. The experimental results illustrate that the proposed algorithm performs better performance both on speed and accuracy. What's more, the proposed algorithm can also obtain the correct matching results on the images with rotation. Therefore, the proposed algorithm could be applied to location and navigation for UAV in future.

Research on the Maintenance and Management Mode of High-speed Railway Infrastructure in China

China has preliminarily built a modern high-speed railway network, and the huge scale of the network has put forward higher requirements on infrastructure maintenance and management. In order to achieve high quality and efficient development of high-speed railway, this paper conducts research on the maintenance and management model of China's high-speed railway infrastructure. This article describes the characteristics of infrastructure maintenance management in developed countries of high-speed railways such as Japan, France and Germany; summarizes the technical characteristics of China's high-speed railways and analyzes the factors influencing infrastructure maintenance management in China. Based on the theory of organizational structure, the article systematically analyzes the differences in the work content, work methods, and means of high-speed railway infrastructure inspection and monitoring, routine maintenance, and specialized repair operations, so as to put forward the maintenance management mode of the separation of "inspection, maintenance, repair". This model mixes together the specialization of technical management and the comprehensive integration of production organization. On this basis, a comprehensive maintenance system for high-speed railway infrastructure was designed and a comprehensive maintenance organizational structure and working mechanism was proposed. Practice has shown that a comprehensive maintenance system for high-speed railway infrastructure is conducive to improving emergency response capabilities, reducing operating costs and achieving optimal resource allocation.

Efficient behaviour specification and bidirectional gated recurrent units‐based intrusion detection method for industrial control systems

Intrusion detection is a prevailing area of research for several years, and numerous intrusion detection systems have been proposed for industrial control systems (ICS). In recent ages, the attacks like seismic net, duqu and flame against ICS infrastructures have instigated great harm to nuclear infrastructures and precarious facilities in several nations. The authors outline an approach to detect intrusions/anomalies in ICS. A method is presented to detect intrusions in real-time and automatically. The existing techniques are normally designed for open systems and protocols, that lacks adequate generalisation and resistance to acclimate to other networks, and they have either short detection rate or tall rate of false positive. This Letter presents a network packet contents behaviour and bidirectional Gated Recurrent Units-based method to detect intrusions in a timely and efficient manner. The method has proven a robust method of classifying intrusions/anomalies in a proficient way. Through extensive evaluation on an actual huge scale dataset spawned from SCADA-based gas pipeline network, the proposed method shows significant performance enhancement and outclasses the standard state-of-the-art methods with 98.68% rate of accuracy. Moreover, it is also able to detect zero-day (unseen) attacks.

ВЛИЯНИЕ ФАКТОРОВ ЭКОНОМИЧЕСКОЙ НЕОПРЕДЕЛЕННОСТИ НА ФУНКЦИОНИРОВА-НИЕ МАЛОГО БИЗНЕСА

The article examines aspects of the current economic situation of uncertainty caused by the consequences of the pandemic, and how it affected the development of small businesses in Russia, including the results of a comparative analysis of the functioning of small businesses in other countries. The factors of influence, including a special group of threat factors, are high-lighted on the basis of a specially conducted survey of Russian small enterprises, which makes it possible to more reasonably highlight priorities in the development of anti-crisis manage-ment measures, taking into account the need to implement accelerated digitalization and change business models. Due to the fact that the world is experiencing a crisis of a huge scale, for which it was not ready, and after almost a year, there are no proposals for effective recovery strategies (overcoming) local, individual crises caused by the COVID-19 pandemic, this fact confirms the conclusion about the fact that it is necessary to consider uncertainty, and not risks in the study of crisis behavior of small business.

Assessing of Modern Machinaries used by Large Scale Construction Firms for High Cost Construction Projects

India is one of fastest growing economy in the world which attracts many foreign investors to our country. With the economy being liberalized, foreign players have a vital stake over our countries growth and it’s after effects. The Construction area has consistently been progressively to this financial development which all in all is an exceptionally divided industry. It needs to impart on a huge scale other related help business lines prone to be materials, types of gear, merchants, providers, subcontractors, customers and furthermore the undertaking plan and funds. All these elements which this sector deals with are subjected to potential risks involved which have to be predicted, monitored and managed. Construction industry has been following method for managing these risks and issues to be arising from a project. They have been managing these risks by foreseeing them with the experience and knowledge that the company has gained over the period of time. But this will be a question for a firm if they diversify or when they enter into any new venture of business domain. The conventional model is the one using the manual techniques for assessing risks involved from the experience, knowledge and competency gained in the business domain. Using Primavera (P6) the risk is been managed by creating several models generated which explains the process of additions of risks, identification of type of risk, calculation of exposure values, calculation of risk impact, assigning the person responsible to the risk, time frame of risk, preparation of control plans if the risk occurs. Finally the results thus obtained from both the methods are been compared and the results

Wind Energy Application for Small Business

This Paper is about application of RENEWABLE energy i.e. Wind energy for less power consumption in small scale business at seashore. Beach Hotels consumes a heavy amount of power due to usage of Light, Fan, Television, bulb and other electrical equipments. Generally, this power is taken from Transmission lines (Over Head Lines). At the seashore, wind is available at huge scale. So, we can use this wind energy for electricity generation and can make it use so that we can save commercial energy as much as possible. In this paper we are going design small wind turbine to utilize wing energy for driving electrical appliances in Hotels.

Anaerobic Digestion Creating Renewable Energy-The Ultimate Closed Loop System

This paper clarifies the significance of Anaerobic Digestion (AD) process. Sustainable power source from anaerobic assimilation gets little evaluation in the press when contrasted with other standard inexhaustible power age advances. It has not been so well known a sustainable power source when contrasted with hydropower sustainable power source or wind sustainable power source in the course of the most recent couple of years. Be that as it may, Renewable vitality from anaerobic processing is boosted the innovation will turn out to be increasingly mainstream in the coming years. Sustainable power source from anaerobic assimilation is amassed in America and Europe and eminently famous in India. Each 1 ton of sustenance waste discarded unnecessarily is in charge of 4.5 huge amounts of CO2 proportionate emanations. Advertisement gives a neighbourhood reasonable secure vitality source free of worldwide financial vitality changes and accessibility, where income is kept in the nearby economy as opposed to going to oil rich nations and multinationals. Sustainable power source from anaerobic processing is created by the consuming of methane. Sustainable power source from anaerobic assimilation is created in storehouses where specific microbes are added to natural waste. Sewage, vegetation, excrement, slaughterhouse waste and waste water would all be able to be separated in an anaerobic assimilation storehouse. At times, specific silage yields are developed for decay. The microbes are added to the waste and the disintegration happens without oxygen. The methane delivered during decay is scorched nearby, driving turbines and making inexhaustible power. Anaerobic processing isn't especially reasonable for little scale local sustainable power creation, to a great extent because of the space prerequisites for the storehouses and the sheer measure of waste required to delivering methane. Notwithstanding, sustainable power source from anaerobic assimilation can be delivered on a huge business scale, a training regular in the United States, taking waste from a wide area.

A Novel Hadoop Based Virtualization Automated Framework

With the huge development in relocation to distributed computing for customary applications, the interest inHadoop VIRTUALIZATION is the new requirement for further research and improvements. The extreme interest for Hadoop VIRTUALIZATION in distributed computing is been tended to with the innovation improvement and regarding virtual machines. Significantly the equipment segments the executives of virtual machine is impressively achieving the pick of research with the ongoing headways by different organizations and open source explores like AlphaVM, Hyper-V, Integrity Virtual Machines, JPC (Virtual Machine), PowerVM, Sun xVM, VMware Workstation and z LPARs. Another most imperative segment of Hadoop VIRTUALIZATION and virtual machine picture stockpiling is been the bottleneck for the further headway. The impediments are being tended to by bunching and capacity territory organizing, anyway these current arrangements are no counterpart for the modern evaluation interest for the VM picture stockpiling necessities. Subsequently in this work we propose a cloud based virtual machine stockpiling structure intended for huge scale arrangement fulfilling alternate requirements for capacity highlights like replication and estimations of execution enhancements. This work additionally exhibits the headways in execution for Hadoop VIRTUALIZATION the board.

A Novel Design of Mealy Machine Equivalence in Vlsi Technology

In this paper begin of a Novel Design of Mealy Machine Equivalence in VLSI Technology. The pattern in structure and assembling of extremely huge scale incorporated circuit shows a progressing move towards littler gadgets on expanding wafer measurements. CMOS has become a common innovation because of its rapid and pressing thickness combined with low power utilization. New advances have risen to additionally expand circuit speed and to lessen structure and innovation limitations. Models are joined bipolar-CMOS (BICMOS) and CMOS in silicon on the cover (SOI). Other than the mass delivered standard chips exclusively custom-fitted application explicit IC (ASICs) and framework approaches with on-chip coordinated sensors or high power actuators gain significance. These improvements present difficulties in the progression of pillar testing techniques, for example, rapid or high spatial goals on 200 mm width wafers. We have mapped this paper to the Mealy machine equivalence Verilog HDL Code in the Xilinx Vivado Compiler Version v2014.2 (64-bit) and find the Power, utilization report, and Area, Power in Table One, utilization report in Table Two and Area in Table Three.

Surface Friction on Pullout Capacity of Pile in Sandy Soil

At the point when structures are built underneath the ground water table or in the event that they are developed submerged, elevate powers are to be applied on the storm cellar of structures. Likewise on account of transmission line towers, securing frameworks for sea surface or submerged stages, tall stacks and so on are generally exposed to upsetting minutes because of wind, wave weight or ship sway and so forth. These upsetting minutes are moved to structures establishment as pressure on certain components and pullout on others. For establishments in such structures, typically a blend of vertical and hitter heaps is utilized. A huge scale exploratory program utilizing vertical model heaps (Cement Mortar heaps) in sand exposed to pullout loads has been done in a model tank of size 25cm x 25cm x 25cm. Gentle steel of 8 mm measurement is utilized for safe haven reason. PVC funnels of changing breadths, lengths, are utilized for throwing of model heaps. An inadequately reviewed stream sand having explicit gravity G = 2.61, Uniformity coefficient = 3.62, ebb and flow coefficient = 0.91 has been utilized as establishment medium. It is to watch the conduct of sand when heap is exposed to pullout limit. Likewise the pullout limit of heap is resolved with various length to distance across proportions on sand.