bluuebunny/crossref_metadata_2025 huggingface dataset:
Controller design by the motion separation method with applying stability criterions for non-linear objects with transport delays
Authors:   Siberian Federal Scientific Centre of Agro-BioTechnologies of the Russian Academy of Science, Krasnoobsk, Novosibirsk Region, Novosibirsk District, Russian Federation, Grinkevich Vladimir
Published: April 2021

Controllers and feedback are applied for performing many technical tasks, for example, maintaining the desired temperature stabilization in the thermostat and speed electric motor stabilization. Different methods such as the time-scale separation method, the frequency-response design method, and the Ziegler–Nichols method are applied to design controllers. The Ziegler–Nichols method does not provide the required transient process quality. The Smith predictor is sometimes applied to control objects with a transport delay. However, it may be difficult to apply the Smith predictor when a mathematical model is not fully known. There is a paper where the application of the motion separation method with a delay is considered. However, the calculation method proposed in that work requires solving a system of four nonlinear equations for a second-order object. Therefore, in this paper, we investigate the possibility of a simpler method for calculating the controller, namely, the possibility of using the Mikhailov criterion in the synthesis of a controller by the motion separation method for nonlinear objects with a delay. Also, the application of the Nyquist stability criterion with a simpler than the proposed earlier calculation procedure is considered in the paper. The values of the regulator coefficients obtained using the Nyquist criterion and the Mikhailov criterion are compared. The Mikhailov criterion and the Nyquist criterion are applied to estimate the stability of the fast motions subsystem. The derivation of formulas to calculate the parameters of the controller designed by the motion separation method for first-order non-linear objects with transport delays and second-order non-linear objects with transport delays with the use of the Mikhailov criterion is also considered in the paper. Transient processes are studied by numerical simulation. Transient processes plots are also given. The parameters of the controller that are needed to improve the performance of transient processes in the presence of a delay are found. The Peltier element, an aircraft strength test stand, a thermostat, and equipment for metal rolling are non-linear control objects with a transport delay. The Mikhailov hodographs for objects with a transport delay are presented.
On the development of a software and hardware complex for modeling a power grid controller and microgeneration facilities based on renewable energy sources in LV 0,4 kV networks
Authors:   Omsk State Technical University, Russian Federation, Gritsay Alexander , Chebanenko Evgeny ,   Omsk State Technical University, Russian Federation, Potapov Viktor ,   Omsk State Technical University, Russian Federation, Andreeva Elena ,   Omsk State Technical University, Russian Federation, Khamitov Rustam ,   Omsk State Technical University, Russian Federation, Chervenchuk Igor ,   Omsk State Technical University, Russian Federation
Published: April 2021

The article discusses the issues of connecting microgeneration facilities based on renewable energy sources (RES) to electric networks of low voltage (LV) 0,4 kV. This method of connection will allow the use of microgeneration facilities as network sources of energy, and at the same time unused electrical energy generated by micro-generation facilities can be supplied to a low-voltage network of 0,4 kV. Methods of simulation modeling of the processes of electrical energy distribution in the power supply system with microgeneration objects are proposed; the requirements for the power grid controller used to ensure the connection of micro-generation facilities to the low voltage network are formulated. The problems arising in connection with this are analyzed and the ways of their solution are offered. The proposed methods for the development of software and hardware solutions using modern methods of simulation of electrical energy generation and distribution based on rapid prototyping in the Matlab Simulink environment make it possible to carry out field experiments in order to simulate the processes occurring in 0,4 kV low voltage electrical networks using microgeneration objects prosumers.
Initial stages of designing a system for collecting and predictive analysis of social media data
Authors:   Novosibirsk State Technical University, Russian Federation, Kalytyuk Ivan , Frantsuzova Galina ,   Novosibirsk State Technical University, Russian Federation, Gun’ko Andrei ,   Novosibirsk State Technical University, Russian Federation
Published: April 2021

This article discusses the design of a system for collecting and predictive analysis of social media. With the development of the Internet, as well as social media, it has become easier to access and distribute information because network users themselves are both creators and recipients of diverse information. To gain new knowledge that can be useful to users of social media, it is possible to use predictive analytics – a set of statistical analysis methods that extract new information from current and historical data. This method of analyzing social media data is at the stage of its development. Predictive analytics is based on automatic search for connections, anomalies and patterns between various factors. To form a predictive model, a large set of statistical modeling methods, data mining, machine learning, neural networks and other mechanisms are used. Together with various methods of collecting information from Internet resources, such as parsing and social network APIs, predictive analytics can offer the most interesting sources of information for the user. In order to combine the methods of predictive analysis and data collection methods, it is necessary to take a detailed approach to the system design process. The paper proposes a formal description of the data that a future system uses. In addition, the general architecture and algorithm of functioning are highlighted. Special attention is paid to a detailed description of one of the main parts of the system (the collection subsystem). The obtained results will be used in further design, and it is planned to further study the analytics subsystem. Subsequent work on this topic will make it possible to detail the architecture and algorithm of functioning.
SUBSTANTIATION OF OPTIMAL METHOD OF ATLANTIC HERRING’S SALTING PROCESS FOR SMALL-BUSINESS PRODUCTION
Authors:   Kaliningrad State Technical University, Alshevskaya M.N. , Anistratova O.V. ,   Kaliningrad State Technical University
Published: April 2021

In this paper, we offer technological solution to produce low-salted Atlantic herring (Clupea harengus) for small-business production. The method of salting in buckets consisted of two stages, including salting herring in saturated brine at a ratio of 70 (fish) : 30 (salting solution) and subsequent storage in isotonic solution. This allows speeding up the technological salting process by 2 times in comparison with the finished unsaturated method in an aqueous solution with 15% salt concentration. The possibility of secondary use of brine is shown. The shelf life of 14 days at (4 ± 2)oC was recorded for the low-salted products from Atlantic herring (C. harengus) with a mass fraction of salt (5 ± 0.5)% produced by an interrupted saturated salting method using secondary brine. The organoleptic parameters of salted Atlantic herring during the entire storage time corresponded to GOST 815 “salted herring”. Indicators that characterize the degree of maturation of salted herring, such as buffering and form-titrated nitrogen, were optimal. A technological scheme to produce low-salted herring using secondary brine and isotonic solution was developed. The proposed production technology allows to produce a high-quality low-salted product and is economically less expensive in comparison with the traditional salting method.
Phase relations in the Tl2 Te–TlBiТe2 –TlTbTe2 system
Authors: Imamaliyeva Samira Z. , Alakbarzade Ganira I , Babanly Dunya M. , Bulanova Marina V. , Gasymov Vagif A. , Babanly Mahammad B.
Published: April 2021

The phase equilibria in the Tl2Te–TlBiТe2–TlTbTe2 concentration area of the Tl–Bi–Tb-Te quaternary system were investigated by using the differential thermal analysis and powder X-ray diffraction techniques. The diagram of the solid-phase equilibria of this system at room temperature was constructed. It was established that the Tl9BiTe6–Tl9TbTe6 section divides the Tl2Te–TlBiТe2–TlTbTe2 system into two independent subsystems. It was found that the Tl2Te–Tl9BiTe6–Tl9TbTe6 subsystem is characterized by the formation of a wide field of solid solutions with a Tl5Te3 structure (δ-phase) that occupy more than 90% of the area of the concentration triangle. The results of X-ray phase analysis of alloys of the Tl9BiTe6–Tl9TbTe6–TlTbTe2–TlBiТe2 subsystem showed the formation of wide regions of solid solutions based on TlTbTe2 and TlBiTe2 along the section of TlTbTe2–TlBiTe2 ((β1- and β2-phases) and made it possible to determine the location of the heterogeneous phase regions in this subsystem. The parameters of crystal lattices of mutually saturated compositions of the β1-, β2-, and δ-phases are calculated from powder diffraction patterns.The paper also presents some polythermal sections, isothermal sections at 740 and 780 K of the phase diagram, as well as projections of the liquidus and solidus surfaces of the Tl2Te–Tl9BiТe6–Tl9TbTe6 subsystem. The liquidus surface consists of three fields of the primary crystallization of α (Tl2Te)-, δ- and β1-phase. The constructed isothermal sections clearly demonstrate that the directions of the tie lines do not coincide with the T–x planes of the studied internal sections, which is characteristic of non-quasi-binary polythermal sections. The obtained new phases are of interest as potential thermoelectric and magnetic materials.
Ozone detection by means of semiconductor gas sensors based on palladium (II) oxide
Authors: Ryabtsev Stanislav V. , Ghareeb Dina A. A. , Sinelnikov Alexander A. , Turishchev Sergey Yu. , Obvintseva Lyudmila A. , Shaposhnik Aleksey V.
Published: April 2021

Thin film semiconductor sensors based on palladium oxide were produced to analyse the concentration of ozone in the air. The palladium oxide films were obtained by means of thermal oxidation of ~ 20-30 nm metal in air at various temperatures. The oxide films were studied using electron microscopy and reflection high-energy electron diffraction. The optical, electrophysical, and gas sensitivity properties of the films were investigated. The study determined the optimal oxidation annealing temperature that ensures the uniform composition of the films and absence of electrical noise affecting the gas detection process. The article explains that electrical noise in ultrathin films is caused by their fragmentation during oxidation annealing. The study demonstrated the high sensitivity of the obtained films to oxide.
Calculation of the nonstoichiometry area of nanocrystalline palladium (II) oxide films
Authors: Samoylov Alexander M. , Pelipenko Dmitry I. , Kuralenko Natalia S.
Published: April 2021

Nanocrystalline palladium (II) oxide films were synthesised using thermal oxidation in the oxygen atmosphere of the initial ultradispersed metal palladium layers with a thickness of ~ 35 nanometres that were obtained on SiO2/Si (100) substrates using the method of thermal sublimation in high vacuum. Using X-ray analysis, it was established that during thermal oxidation in the oxygen atmosphere within the temperature range T = 670–970 K the values of the a and c parameters of the tetragonal lattice as well as the unit cell volume of nanocrystalline PdO films increased monotonously with the rise of the temperature reaching the maximum values at T = 950–970 K. It was found that the parameters of the tetragonal lattice and the unit cell volume of nanocrystalline PdO films decreased as the oxidation temperature increased up to T > 970 KBased on the ratio of the c/a parameters, it was shown that the main contribution to the deformation phenomena of the tetragonal lattice were mostly due to the increase in the elementary translations along the coordination axes OX and OY. Based on an assumption that the ionic component of the chemical bond is essential to the palladium (II) oxide structure, we suggested a method for the calculation of the range of the nonstoichiometry area for nanocrystalline PdO films, using the reported data on the radii of cation Pd2+ and anion O2- taking into account their coordination environment. The results of the calculations showed that nanocrystalline PdO films synthesised with an oxygen pressure of ~ 105 kPa are characterisedby the two-sided homogeneity region in relation to the stoichiometric ratio of the components. The homogeneity region of nanocrystalline PdO films is characterised by the retrograde solidus line in the range of the temperatures T = 770–1070 K.
Synthesis of bismuth ferrite nanopowder doped with erbium ions
Authors: Tomina Elena V. , Pavlenko Anna A. , Kurkin Nikolay A.
Published: April 2021

The potential for the practical application of bismuth ferrite (BFO) in information storage, microelectronic, and spintronic devices and in medical sensors of various purpose is limited by the presence of a spin cycloid. Its destruction, including destruction due to doping with rare earth elements and the transfer of BFO to a nanoscale state, contributes to the occurrence of ferromagnetism and the manifestation of the magnetoelectric effect. The study was aimed at the synthesis of bismuth ferrite nanopowder doped with erbium ions.By spray pyrolysis at a temperature of 760 °C, we synthesised BFO samples with a nominal degree of doping with erbium ions from 0.05 to 0.20. The data of X-ray diffraction analysis show that there is a small amount of Bi25FeO39 and Bi2Fe4O9 in the doped samples.The shift of the BFO reflections on diffraction patterns towards larger 2q angles is representative of the incorporation of erbium ions into the crystal lattice of BiFeO3. The morphological characteristics of the samples were determined using transmission electron microscopy. According to the data of electron probe X-Ray microanalysis, the real composition of the doped ErxBi1-xFeO3 samples is very close to the nominal.The particles of ErxBi1-xFeO3 powders synthesised by spray pyrolysis have a nearly spherical shape, the particle-size distribution is in the range of 5–300 nm, the predominant number of particles have a size in the range of 50-200 nm, and the agglomeration is weak. The decrease in the crystal lattice parameters and the unit cell volume of ErxBi1-xFeO3 and an increase in the degree of doping with erbium ions confirm the incorporation of Er3+ into the BFO crystal lattice to the bismuth position.
Human Islet Distribution to ADI IsletCore Recipient Labs v1
Authors: E Manning Fox Jocelyn , F Spigelman Aliya , Dafoe Tina , Lyon James
Published: April 2021

This protocol details the distribution of human research islets by the Alberta Diabetes Institute IsletCore. Isolation of human research islets is described in dx.doi.org/10.17504/protocols.io.x3mfqk6
Myriad Aspects in Ee- Ma- Yove
Authors: Et. al. Arjun P. Kumar,
Published: April 2021

The paper focuses on the core idea presented in the movie – death, human psychology, and narrative styles. It also proves that spicy elements are not always necessary while dealing with gloomy themes. The paper defines how the film depicts the common man’s life adding their own stylisation to it, which interests the average malayali viewers who have been long saturated with the unrealistic story lines, melodramatic scenes and male- chauvinistic punch dialogues. It also deals with grief and asks a question- how you say goodbye to someone so close to you after his or her death.
Analysis on Convergent Factors related to the Hopelessness of Health College Students
Authors: Et. al. Hyun-Suk Lee,
Published: April 2021

This study investigates the convergence relationship of factors related to hopelessness among some health college students to identify the advantage of data analysis in the field of health care. The questionnaire was conducted using an unregistered self-administered questionnaire for 214 students from a college located in J area from October 1, 2018 to October 31, 2018. The hierarchical multiple regression analysis shows the following results. The hopelessness of respondents turned out to be significantly higher in following groups: a group in which academic burnout is higher, a group in which anxiety is higher, and a group in which psychosocial stress is higher. The results show explanatory power of 43.3%. And this indicates that the efforts to decrease academic burnout, anxiety, and psychosocial stress are required to decrease hopelessness among health college students. These results can be used to guide college life counseling to lower hopelessness among health college students. It is also expected to be used for efficient data analysis of health problems. Further research requires the development of sophisticated data analysis techniques and procedures that can be used more efficiently in health care.
Distance Learning In Primary Schools During The Covid-19 Pandemic In Indonesia: Challenges, Solutions, And Projections
Authors: Et. al. Cipta Pramana,
Published: April 2021

This study aims to investigate online learning for elementary school students in Indonesia due to the COVID-19 pandemic. The data were collected using a survey method through distributing questionnaires with a google form. Secondary data was also supported using the library method through documentation to gain the relevant data regarding the impact of COVID-19 and online learning in elementary schools from various sources such as documents, books, magazine news, and journal articles. Data analysis used a flow chart following Milles and Huberman. Results show that the impact of COVID-19 on implementing online learning in elementary schools in Indonesia can be implemented quite well. The impact of COVID-19 on the implementation of distance learning in elementary schools can be carried out quite well if there is a collaboration between teachers, students, and parents in learning at home.
Content Based Image Retrieval (Cbir) For Storing Of Products
Authors: Et. al. Dr. Kannan,
Published: April 2021

With rise in complexity of materials and lack of necessary skills among the mass population, it is necessary to find a system that can help the employees to identify the materials without the help of additional labour, training and manuals. Hence, a system has been created to identify the material and give similar materials when the model is provided with just an image of the material in question. This being an unlinked database helps in maintaining privacy of the company. Convolutional neural networks are used for object detection and then captioning is done by Recurrent neural network which also compares the generated caption with the provided database and return the best match. LSTM and NLP aid the process of caption generation and search. The dataset used is MSCOCO 2014. The evaluation metrics is BLEU which returned a score of 70.3%. The whole idea is easy to combine with concepts like KANBAN and facilitate the layout design of the company to a great flexibility. By reducing the time spent on training and sorting the efficiency of the firm is increased. The system created for identifying the material can be interlinked with centralised inventory management system to help track the material in the production process. The layout of the store was not optimised which resulted in delay in the production process. This can be rectified using a software like ARENA to design the store layout. With a system in place for material deduction the steps followed in stores can be reduced.
Digital Transformation In Indian Insurance Industry
Authors: Et. al. Ramesh Kumar Satuluri,
Published: April 2021

This paper titled “Digital Transformation in Indian Insurance Industry” is an attempt to give deep insights to all the readers on digital transformation in insurance space. Technological innovations are extensive and all encompassing.  Disruptions are not industry specific and insurance industry is no exception to this. Recently regulator published a draft regulation on sandbox concept, which permits carriers to innovate their offering to end user. This is led by fintech and insure tech companies and carriers have structured digital boards to take this revolution forward.Major findings of this paper are usage of block chain technology and data security in insurance industry. With companies constituting digital boards, pandemic has only acted like a tailwind for the digital push wherein entire sales process is migrated to digital way of selling. This move has a multiplier effect on customer reach, cost efficiency and service precision. Customers who are keen to have the best in terms of technological innovation will be delighted with the advancement in digital transformation.Also with big data and analytics, we are coming back to risk based pricing, which is proportionate to the risk borne by the customer. This is still evolving in life insurance as the deployment of wearables is at a nascent stage.Newer technologies like AI and machine learning are facilitating companies register higher growth both on cross and upsell opportunities.  This will indisputably have an immense and long term positive impact on the bottom line of most insurance companies thus enhancing profitability.Researcher concludes that digital innovation will surely have a great and positive impact on profitability of insurance companies.
Evaluation Of The Efficacy Of Iot Deployment On Petro-Retail Operations
Authors: Et. al. Santanu Purohit,
Published: April 2021

After the Internet revolution, Internet of Things (IoT) is expected to be the next big technological change, connecting equipment as well as everyday objects to help businesses explore new ways of creating and delivering value. In the Oil & Gas industry context, IoT has been deployed extensively in the upstream sector and also to some extent in the mid-stream sector. However, it’s implementation in the downstream (retail) sector has been limited. This paper explores the applicability and impact of deploying an IoT solution at a fuel retail outlet. In our experiment, a live outlet was chosen in Kolkata, where a limited IoT solution was deployed, for a period of 3 months. Our research shows that IoT implementation can yield significant operational benefits by reducing the response times, leading to increased operational uptime and hence sales. It can also help improve the root cause analysis process by providing increased data to identify the issue(s).
Fanfiction as an Academic Tool for Advanced Language Fluency: A Study
Authors: Et. al. Surya R,
Published: April 2021

In this globalized world, a thorough grasp of the English language has mushroomed as an inexorable necessity than an obligation. Traditional language learning is often turning out to be an involuntary process, alienating learners and thereby posing bigger challenges to second language teaching. Given the ongoing diversified technological revolution, an informal user-friendly ambience was created, making learning an uncomplicated and stress-free exercise. Digital platforms aid in several ways for learning languages - such as online language courses and special purpose mobile applications. Exposure to the language is vital in the learning process and social media can be of great help here. There is no better choice as a practice ground than social media and its associated forms. Fanfiction forums are the most popular reading and writing communities on the Internet. This paper attempts to throw light on how fanfiction can be useful in the task-based language teaching method for attainment of advanced fluency in reading and writing skills. A looming literary sensation and a source of entertainment, fanfictions of prominent literary works and visual arts are widely read and accepted by masses. This fictional writing can be incorporated into a higher-level language classroom as a learning tool, under the guidance of teachers who are accustomed to this form of writings and are digitally literate. A sample survey was conducted among fan fiction groups to highlight and justify the efficacy of fanfiction in promoting English language learning.
The effect of Leaders Strategic Improvisation and TQM on SME’s Performance: Examining Mediating Role of Corporate Entrepreneurship
Authors: Et. al. Majid Ibrahim Mohammed Abdullah Al Zarooni,
Published: April 2021

The main purpose of present study is to examine the effect of strategic improvisation and total quality management on performance. This study also examined the mediating effect of corporate entrepreneurship between strategic improvisation and total quality management on performance. The data was collected from the employees of SME’s through questionnaires. For collection of data simple random sampling was adopted. The response rate of study was 60.04%. the gathered data was assessed by using PLS-SEM through smart PLS-3.3.2. Its been revealed from the findings of the study that there exist positive relationship among strategic improvisation, TQM and SME Performance. Moreover, mediating role of corporate entrepreneurship is confirmed as well. The findings of present study are helpful for the policy makers of SME sector to develop strategy to improve organizational performance.
Impact of Workplace Spirituality on Organizational Commitment – A Study in an Emerging Economy
Authors: Et. al. Mohammed Wamique Hisam,
Published: April 2021

Workplace spirituality has emerged as one of the effective mechanisms to induce organizational commitment, job involvement, creativity, innovation and to reduce employee turnover intentions. This has attracted the attention of researchers worldwide, and there have been several studies on the components and effect of workplace spirituality on employee performance in Western nations. The Covid 19 pandemic has led to job losses and pay cuts across industries, leading to an alarming Increase in stress, depression and alcohol and substance abuse among employees. However, hardly any studies have been conducted on workplace spirituality in the Gulf Cooperation Council (GCC) region, leaving a gap in the literature. This study investigates the impact of four dimensions of workplace spirituality namely, meaningful work, inner life, organizational values and sense of community on the organizational commitment of employees working in various organizations in Oman during Covid-19. The study employs survey data collected from 117 respondents across various managerial levels using a structured questionnaire having 20 items. The data has been analyzed using SmartPLS 3 software. The results reveal the impact of the chosen dimensions of workplace spirituality on the organizational commitment of employees. The findings of the study suggest that meaningful work has the highest impact on organizational commitment, followed by inner life and sense of community. Organizational values have been found not to have a significant effect on organizational commitment. Workplace spirituality can have a profound impact on the mental health and wellbeing of employees in these troubled times.
Extracurricular Activities Are A Key Element In The Organization Of The Educational Process
Authors: Et. al. G. Narkabilova,
Published: April 2021

The article describes the factors, conditions, the principle of communicative activity (as a component of the principle of activity), signs, opportunities in creating conditions for the development of many areas of the student's personality, goals, objectives, content and forms of extracurricular activities. A systemically organized extracurricular lesson includes methods of teaching, upbringing and development that stimulate students to master knowledge and skills on their own, and also disposes to more informal interaction with teachers, which leads to the disappearance of the framework of the formal relationship and the disclosure of the internal potential of students.
Factor Structure Analysis for Pedestrian Level of Service Assessment using Structural Equation Modelling
Authors: Et. al. Jivesh Ujjwal,
Published: April 2021

Pedestrian facilities are aimed at providing proper walking infrastructure and environment to promote walking in cities and needs to serve the desired requirements of users. It is important to assess the level of service (LOS) provided by such facilities. Various guidelines are available for assessing LOS of sidewalks, midblock crossings and pedestrians walking along the carriageway. However, the guidelines and factors considered for assessment are diverse and no single guideline is available that comprehensively takes into account all variables relevant for both sidewalks and crossings and for mixed land use settings.

This work thus attempts to identify factors and their underlying variables and also the relative importance of the factors in determining LOS of pedestrian facilities in mixed land use areas. For this purpose, the study systematically identifies a comprehensive list of 20 important variables associated with LOS assessment for pedestrian facilities from literature. A survey was conducted of a heterogeneous group of 720 pedestrians from Patna, India to find importance perceptions of all the above identified variables. The important factors and their significant underlying variables were then identified using Exploratory Factor Analysis and the factor structure was confirmed using Structural Equation Model using survey data. Five factors namely Infrastructure, Crossing issues, Security, Sidewalk encroachments and Safety were identified with 13 significant underlying variables. It was observed that the crossing facility conditions predominantly influence the perception of LOS of pedestrian facilities. The findings of the study can be used by urban planners in focusing their improvement efforts for pedestrian facilities.
Task Scheduling Algorithms in Cloud Computing: A Review
Authors: Et. al. Ibrahim Mahmood Ibrahim,
Published: April 2021

Cloud computing is the requirement based on clients and provides many resources that aim to share it as a service through the internet. For optimal use, Cloud computing resources such as storage, application, and other services need managing and scheduling these services. The principal idea behind the scheduling is to minimize loss time, workload, and maximize throughput. So, the scheduling task is essential to achieve accuracy and correctness on task completion. This paper gives an idea about various task scheduling algorithms in the cloud computing environment used by researchers. Finally, many authors applied different parameters like completion time, throughput, and cost to evaluate the system.
The Institutional and Legal Framework Of Emerging Capital Markets: The Experience Of Cis Countries
Authors: Et. al. Said Gulyamov,
Published: April 2021

The present study focuses on the development of one of the key institutions of the market economy – namely, the securities market in terms of its role in promoting competitive conditions in the financial services sector. Due to a variety of objective and subjective factors, banks have become the most dominant institutions in all CIS countries in terms of, both, accumulating and redistributing financial resources. Particularly, the research outlines the background to capital market formation and development in CIS countries through a brief history of the CIS; considers the necessity of capital market and its regulation in CIS countries; reviews the institutional and legal framework of capital market regulation, and analyzes certain problems of capital market development.
Problems Of Copyright Protection: Plagiary And Piracy On The Internet
Authors: Et. al. Yakubova Iroda Bakhramovna,
Published: April 2021

The main purpose of this article is to study the institution of copyright protection, with the division of powers of collective management organizations, with the functions of organizations and their types, with the difference between collective management of copyright and such a concept as representation are touched upon. The main focus is on the main goals of improving the judicial system in accordance with the Uzbekistan’s Five-Area Development Strategy for 2017-2021 in general and proposals for further improvement of the legislation were formed on the basis of the approach, proposed by the author. Also, attention is paid to some urgent problems related to the improvement of this institution, international standards for copyright protection and comparative legal analysis of national legislation, as well as the opinions of scientists from Uzbekistan and other different countries. Suggestions and recommendations were put forward of scientific and practical importance for national copyright law
It Offshoring And E_Business Adoption In Iraq: Study From Smes Perspective
Authors: Et. al. Abdulniser Khald Hamzah,
Published: April 2021

The aims of this research were to investigate the factors that influence the IT offshoring approach among the Iraqian SMEs and whether this approach can be considered for the SMEs e_business  implementation. SMEs face many issues such as technological, business, economic and cultural nature, while trying to be in an advantage edge or survive at least. Business offshoring is one of the approaches common especially in IT development to assist the enterprises to automate and streamline the business processes. This research applied the quantitative and qualitative approaches when collecting data from the Iraqiann SMEs. SPSS software was used to analyse the collected data.
Hashing based Data Transaction and Optimized Storage for IoT Applications
Authors: Et. al. Monika Parmar,
Published: April 2021

Blockchain technology, which would be the underlying technology, has recently become very popular with the increase in cryptocurrencies and is being used in IoT and other fields. There have been shortfalls, however, which impede its implementation, including the volume of space. Transactions will be produced at a significant level due to the huge amount of Connected systems that often work in many networks as data processors. In IoT, the storage issue will become more intense. Current storing data platforms have a wide range of features to respond to an extensive variety spectrum of uses. Nevertheless, new groups of systems have arisen, e.g., blockchain with data version control, fork semantics, tamper-evidence or some variation thereof, and distributed analysis. They're showing new challenges for storage solutions to effectively serve such energy storage Systems by integrating the criteria mentioned in the processing. This paper discusses the potential security and privacy concerns of IoT applications and also it is shown that in first step the storage is enhanced by 50% and further in the next step, it is improved and it takes only 256 bytes irrespective of the input data size.
E-Mail Spam Filtering Through Feature Selection Using Enriched Firefly Optimization Algorithm
Authors: Et. al. T. Poonkodi,
Published: April 2021

E-mail is the most common method of communication because due to its ability to obtain, the rapid modification of messages and low cost of distribution. Spam causes traffic issues and bottlenecks that limit the amount of memory and bandwidth, power and computing speed. For data filtering, various approaches exist that automatically detect and suppress these indefensible messages. A methodology based on Sine- Cosine Algorithm (SCA) introduced which address the problem of space and time complexities are increased in E-Mail spam detection. In this method, WordNet optimized semantic ontology applies different methods based on semantics and similarity measures to reduce the large number of extracted textual features. This paper proposed the Enriched Firefly Optimization Algorithm (EFOA) method effectively selecting suitable features from an upper dimensional space using the fitness function. Once the best feature space is identified through EFOA, the spam classification is done using ANN. Intially, E-mail spam dataset is preprocessed, then the extracted textual features are Semantic-based reduction and Features weights updated using optimized semantic WordNet. The results obtained showed that the ANN classifier after selection of features using EFOA was able to classify e-mails as spam and non-spam. This EFOA demonstrates that the proposed method has led to a remarkable improvement compared to the SCA methods.
Parent-Child Attachment and Romantic Relationship among Young Adults in Malaysia
Authors: Et. al. Fatahyah Yahya,
Published: April 2021

The aim of this research was to examine the relationship between Parent- Child Attachment on Romantic Relationship among Young Adults in Malaysia. In the present study, researcher established the correlation between the two variables which are Parent-child attachment and romantic relationship. Total of 100 participants (36= Male; 64: Female) participated in this study. Two (2) instruments have been used to measure the variables; Armsden and Greenberg’s Inventory of Parent and Peer Attachment (IPPA) and Experiences in Close Relationships scale (ECR). Results indicated that there was a positive moderate significant relationship between parent child attachment and romantic relationship among young adults in Malaysia (r=.322, p<0.01). As a recommendation, a semi-structured interview can be administered to investigate the nature of attachment relationships in adult partnerships.
An Enhanced CNN-2D for Audio-Visual Emotion Recognition (AVER) Using ADAM Optimizer
Authors: Et. al. D.N.V.S.L.S. Indira,
Published: April 2021

The importance of integrating visual components into the speech recognition process for improving robustness has been identified by recent developments in audio visual emotion recognition (AVER). Visual characteristics have a strong potential to boost the accuracy of current techniques for speech recognition and have become increasingly important when modelling speech recognizers. CNN is very good to work with images. An audio file can be converted into image file like a spectrogram with good frequency to extract hidden knowledge. This paper provides a method for emotional expression recognition using Spectrograms and CNN-2D. Spectrograms formed from the signals of speech it’s a CNN-2D input. The proposed model, which consists of three layers of CNN and those are convolution layers, pooling layers and fully connected layers extract discriminatory characteristics from the representations of spectrograms and for the seven feelings, performance estimates. This article compares the output with the existing SER using audio files and CNN. The accuracy is improved by 6.5% when CNN-2D is used.
Tensor Flow Model in Medical Image Analysis - Review
Authors: Et. al. Raswitha Bandi,
Published: April 2021

Support Vector Machines, Reinforcement algorithms, artificial neural networks are some of the Machine Learning Algorithms available in Medical Analysis. By using these algorithms, much of the research has been done in analysis of liver cancer for genome classification and identification of lesions. At present, Deep learning algorithms have quickly turned into a strategy for examine CT images. This article presents one of the major deep learning techniques named tensor flow technique to investigate images in scan for the task of visualization of abnormal condition of liver tumor in the context of shape and color towards disease diagnosis. We surveyed the utilization of tensor flow for classifying images, detection of objects, and detection of lesions. In this paper, we mainly concentrated on the study and working of tensor flow in image classification. Also, a summary of the present and future scope in this area has been presented in detail.
Acoustic based Scene Event Identification Using Deep Learning CNN
Authors: Et. al. R. Abinaya,
Published: April 2021

Deep learning is becoming popular nowadays on solving the classification problems when compared with conventional classifiers. Large number of researchers are exploiting deep learning regarding sound event detection for environmental scene analysis. In this research, deep learning convolutional neural network (CNN) classifier is modelled using the extracted MFCC features for classifying the environmental event sounds. The experiment results clearly show that proposed MFCC-CNN outperform other existing methods with a high classification accuracy of 90.65%.
Factorisation and Labeling in Hypergraphs
Authors: Et. al. C.S. Harisha,
Published: April 2021

Graphs have lots of applications in various domains. They support only pair wise relationships. Hypergraphs does more than graphs. In graph theory, a graph where an edge can join any number of vertices is called as the hyper graph. The corresponding edges are called as hyper edges. The integers used for assignment of labels to the edges and vertices or to only vertices of a graph or to only the edges is called as the graph labeling in this paper we study about factorization and labeling in hyper graphs with the hyper graphs obtained from graphs.
Dense Feature Based Face Recognition from Surveillance Video using Convolutional Neural Network
Authors: Et. al. K. Suma,
Published: April 2021

Face Recognition is a field of identifying the person from the facial features and has wide application range in security, human computer interactions, finance etc. In recent years, many researchers have developed different algorithms to identify the Faces from various illumination variations and Pose variation, but these two problems remain unsolved in Face Recognition (FR) field.

The Local Binary Pattern (LBP) has already proved its robustness in illumination variation. This paper proposes a four-patch Local Binary Pattern based FR utilizing Convolutional Neural Network (CNN) for identifying the Facial images from various illumination conditions and Pose variation.
A General Framework Information Loss of Utility-Based Anonymization in Data Publishing
Authors: Et. al. Waleed M.Ead,
Published: April 2021

To build anonymization, the data anonymizer must determine the following three issues: Firstly, which data to be preserved? Secondly, which adversary background knowledge used to disclosure the anonymized data? Thirdly, The usage of the anonymized data? We have different anonymization techniques from the previous three-question according to different adversary background knowledge and information usage (information utility). In other words, different anonymization techniques lead to different information loss. In this paper, we propose a general framework for the utility-based anonymization to minimize the information loss in data published with a trade-off grantee of achieving the required privacy level.
On A Methods Of Using Weighted Simulation Improving Reliability To Redundant Fiber Optic Communication Systems
Authors: Et. al. Masharipov Otaboy Matyoqubovich,
Published: April 2021

The article describes the methodology of weighted modelling to increase the reliability of redundant fibre-optic communication systems. In a specific example, a network graph of a many-node fibre-optic communication system is considered. Applying general ideas to determine the reliability characteristics of systems consisting of a large number of different types of elements with different functional relationships between them is quite a difficult task. The materials presented in this article are intended to solve this problem. Along with their relative simplicity, they are highly accurate. The numerical examples in this chapter show that the use of these methods for highly reliable systems can reduce the variance of the estimate by several orders of magnitude compared to the direct modelling method, and thus reduce the time required for calculations on electronic computers by several orders of magnitude. The purpose of the study is to increase the reliability of fibre-optic communication systems. The research methodology is based on models with a limited number of monotonous failure chains, which is available for visual enumeration of the reliability of highly reliable systems. As a result, it is proposed to obtain an approximate formula for assessing the reliability of a highly reliable system, both by modelling and analytically, and calculations using it can be performed using the quadrature method or moment methods. This allows you to build a model according to the block principle, including full-scale blocks or records of the results of their tests, simplifies the interpretation of the results, and creates convenience in software implementation.
A Study On Online Language Learning Environment For College Students In Tamil Nadu
Authors: Et. al. J. Jeyarani,
Published: April 2021

Online learning environment and strategies provide ample and valid opportunities to explore, discover and perform with the wonders of technology. This paper surveys and analyses the online language learning environment of college students in Tamil Nadu. The study examines the specific advantages of the learning environment and the instructional methods employed in the virtual learning environment. The study is undertaken with college students from different districts of Tamil Nadu who underwent a pre-assessment and a post assessment before and after they participated in the structured online English language classes constituting the research. The study puts forward the use of technology, different modern teaching theories and practises, a deviation from normal teaching, innovative online teaching methods of English language skills, a difference of learning scenario, all intended to benefit students with different language levels and comprehensive capacities, and most significantly to balance and tone down lapses, if any, in online learning environment. The pre and post assessments of the participant students are statistically presented herewith which depicts the benefits as well as barriers of online language learning environment of college students in Tamil Nadu.
Paradigm Shift In Indian Banking Industry With Special Reference To Artificial Intelligence
Authors: Et. al. Khusboo Srivastava,
Published: April 2021

Technological advancement has transformed the businesses environment in past few decades and many technologies will emerge that will profoundly influence many industries. This technology revolution is future and controlling the organizations effortlessly for productive development. The paper investigates the various zones where the Artificial Intelligence is being utilized in the Indian banking sector and also its implications. This paper will confer that what are the advantages and the challenges which artificial intelligence is confronting in India. It seeks to explore advancement that artificial intelligence offers to FinTech and the different ways in which it can shape the operations of an Indian banking ecosystem.