bluuebunny/crossref_metadata_2025 huggingface dataset:
Nutrition Label Knowledge and Attitude to Affect Healthy Food Choice among Young Consumers in Malaysia
Authors: Et.al Zuraidah Zainol
Published: April 2021

This research attempts to investigate the direct effect of nutrition label knowledge on attitude, and, nutrition label knowledge and attitude in choosing healthy food among Malaysian consumers as well as the role of nutrition label attitude as a mediator. This research applied the quantitative approach. A sample comprised 381 Malaysian consumers with minimum age of 18 years old. Data from a sample were obtained using a structured questionnaire and analysed using structural equation modelling (SEM). The findings reveal that nutrition label knowledge as a significant predictor of nutrition label attitude and, nutrition label knowledge and attitude as significant predictors of healthy food choice. In addition, the findings reveal the nutrition label attitude as a partial mediator in the relationship between nutrition label knowledge and healthy food choice. Although the findings provide fresh insights on the role of nutrition label knowledge and attitude in affecting healthy food choice, this research requires a replication in future research as to improve the explanatory power of the framework.
A Survey of Malware Risk Detection Techniques in Cloud
Authors: Et.al Ahmad Faiz Ghazali
Published: April 2021

This article aims to contribute in securing information technology (IT) systems and processes for information security by utilizing malware risk detection for decision-making processes to mitigate cyber-attacks. It has potential to be a real threat to the businesses and industrial applications. The risk management is an essential component where it can present a new information security model for supporting decision making. The current ideologies such as the anti-virus, malware and firewalls detection and protection are proving to be ineffective as they were not specifically designed for multi-tenant cloud environments. Therefore, this article presents a survey of malware risk detection techniques in cloud. The survey was conducted on publications from Scopus from the last 5 years. The findings indicate the current malware detection techniques are not enough to effectively detect and protect the cloud environments.
The Use of Media Literacy – Foreign Movies to Promote Students’ Participation in a Malaysian Context
Authors: Et.al Maria Shu Hong Bee Abdullah
Published: April 2021

It is crucial for teachers to try various approaches and methods to create active learning. Bringing media literacy into second language classroom can attract students’ interests in the landscape of Malaysian classrooms. To acquire English Language in the 21st century, it is a common practice for teachers to provide extensive exposure of media literacy and presenting opportunities forstudentsto experience active learning. Introducing foreign movie in an English Language classroom motivates students’ participation. The language classroom can be fun whenthe use offoreignmovieis integrated in the lesson and active learning will promote students’ participation.
The Use of Attention Signal – AEOM on Form 1 Students During ESL Lesson
Authors: Et.al Nur Alina Nishaq Azman
Published: April 2021

This study aimed to investigate the use of attention signal AEOM (All Eyes On Me)among Form 1 students during an ESLlesson in Perak. AEOM has helped the teacher during their language teaching and learning. Some of the students were unable to stay focus and they were easily distracted. The two main objectives of this study isfirstly to investigate the students’ reactions and secondly the students’ perceptions towards the use of AEOM. The findings of the study indicated that the students have shown positive reactions towards the use of AEOM by the teacher during the English language lesson.
Analysis on the Effects of using Active Learning Training Module (ALTM) on the Level of Achievement among Student Teachers in Teacher Education Curriculum
Authors: Et.al Zaini Abdullah
Published: April 2021

This study aims to explore the effect of using Active Learning Training Module (ALTM) on the achievement of a professional education course among student teachers in teacher education curriculum. The module used in the learning of Education Development in Malaysia: Philosophy and Policy (KPF3012) course was built up based on Analysis, Design, Development, Implementation and Evaluation model (ADDIE). A quantitative study was carried out using ex-post facto method where it was carried out by analyzing 1,613 students' achievement for the course base on final exam result. Final Exam Question for KPF3012 Semester 2 Session 2017/2018 was used as an instrument for data acquisition. The collected data was then analyzed using percentage and one-way ANOVA. The results show that, the use of ALTM had successfully promote high students’ level of achievement; that is 46.5% of the students had achieved excellent level. The findings also show that the level of the students’ achievements had no significant difference (F=5.549,p=0.00) based on programs of studies . As for conclusion, ALTM has a good effect on students’ achievement in the learning of KPF3012 and has no significant bias to students based on study program. Therefore the use of the module by students in the learning of KPF3012 is suggested in the future semesters.
Validity and Reliability of Mathematical Visual Literacy Skills Based on Avgerinou’s Vilual Literacy Index
Authors: Et.al Raja Lailatul Zuraida
Published: April 2021

There is much literature on visual literacy across different fields of knowledge. Even so, generally there is a gap of literature that deals with measuring mathematical visual literacy skills. The objective of this paper is to produce empirical data on reliability and validity of mathematical visual literacy skills instrument. The development of items was based on the skills outlined Avgerinou’s VL Index (2007. The early stage in validating the instrument required researchers to seek face validity and content validity from panels of experts. Face validity was based on subjective judgements of the items. Meanwhile, content validity was determined by Content Validity Index (CVI) which is computed using Item-CVI (I-CVI) and Scale-CVI (S-CVI). Each mathematical visual literacy skills had accepted S-CVI values ranging from 0.86 to 1.00 but items with low I-CVI values were deleted. Next, construct validity and reliability was determined by using Exploratory Factor Analysis (EFA) and Cronbach’s alpha respectively. The instrument, consisting of 43 items was assessed on 428 pre-university students. Students’ responses were scored using analytical rubric developed by researchers. Using Principal Component Axis (PCA) and varimax rotation, EFA was carried out where 40 retaining items were extracted to 7 factors, representing each visual literacy skills. Kaiser-Meyer-Olkin (KMO) of 0.721, significant Bartlett’s Test of Sphericity (BTS), communalities anti images ranging between 0.308-0.721 and 0.503-0.835 respectively, 7 extracted factors explaining 53.685% of the total variance, factor loadings of ±0.520 and more, and overall Cronbach’s alphas of instrument recorded at 0.82, explained the complete validity and reliability of the instrument.
The Sustainability Stimulus of Malaysian Seaport Cluster toward Competitive Vigilance: The Total Quality Management (TQM) Approach
Authors: Et.al Mohamad Rosni Othman
Published: April 2021

The quality management is primarily a commercial action, interaction between strategic business components and management practices and supported by seaport users in the seaport cluster. With the progressive approach, a conceptual of seaport quality can be installed into the seaport activities to stimulate the seaports to create and sustain competitive advantage by increasing their ability to respond tousers’ needs through the quality improvement of seaport services as logistics platforms. The Total Quality Management (TQM) can be used to improve the responsiveness of seaport cluster products and services from upstream entities to downstream entities. The quality management focuses on: to satisfaction of customers; reduce cost; improve productivity; and, to optimize the seaport operations. This issue has become apparent within theseaport cluster, whilethe influence of quality on customer perceptions and consumption behavior has become a major factor affecting the end user choice of seaports. Although that quality management provides approaches to achieve such objectives, a limited number of seaports have developed quality-oriented approaches. This paper explores issues related to the total quality management within the seaport cluster, this paper also reviewing on the current situation at Malaysian seaports that are currently using the ISO for improving the organizational performance. A conceptual of seaport quality will be introduced as a framework for excellence for the seaport cluster and may provide the best strategic approach for the seaports at present and in the future. This paper will provide practitioners and policy makers with an indication of the applicability of the quality culture in the seaport cluster.
Unit Commitment with Renewable Energy Using Multi-agent Immune System Incorporating Evolutionary Priority List for Operation Cost Minimization
Authors: Et.al M. N. C. Othman
Published: April 2021

Renewable energy (RE) integration into the power grid is steadily growing that effectively reducing the electricity generation cost, however, leads to additional consequences. Unit commitment (UC) problem often cited in discussing these issues. This paper proposes an approach to look at these issues by utilizing the Multi-agent Immune incorporating Evolutionary Priority List (MAI-EPL) technique for solving the UC problem with the consideration of RE resources, as an effort to reduce the operation cost without affecting the existing power system reliability. The employed test systems consider 10 thermal generating units with additional solar and wind resources in a 24-hours scheduling period. The results show that the MAI-EPL technique is capable of producing a satisfactory outcome to the UC problem with RE consideration.
Critical Success Factors and Challenges in Agile Requirements Engineering
Authors: Et.al Mohammed Saleh
Published: April 2021

Nowadays, the requirements of the software are changing rapidly in order to meet clients’ needs, which increases the complexity of developing software. Thus, Agile requirements engineering has arisen and it focuses on how to deal with the increasing changes in software requirements by gathering requirements iteratively and collaboratively with the clients. Thus, the clients’ satisfaction could be met more easily. On the other side, researchers have tried to improve agile requirements engineering from time to time, however, there are still limitations and challenges faced, which need more attention. Thus, this study is conducted by performing a systematic literature review technique to investigate the challenges, critical success factors, and the topics that need more attention in the agile requirements engineering field. In the beginning, the study obtained 178 articles related to this topic which were published from 2002 until 2019. After a thorough analysis of the articles, the study reviewed the ten (10) challenges and the proposed solutions that mentioned in the previous studies. Besides that, the study found six (6) critical success factors, and highlighted four (4) topics that need more attention from the researchers in future studies in agile requirements engineering.
AN INNOVATIVE STUDY ON SUM OF POWERS OF INTEGERS
Authors: Et. al. B.Mahaboob,
Published: April 2021

The generalization of sum of integral powers of first n-natural numbers has been an interesting problem among the researchers in Analytical Number Theory for decades. This research article mainly focuses on the derivation of generalized result of this sum. More explicit formula has been derived in order to get the sum of any arbitrary integral powers of first n-natural numbers. Furthermore by using the fundamental principles of Combinatorics and Linear Algebra an attempt has been made to answer an interesting question namely: Is the sum of integral powers of natural numbers a unique polynomial? As a result it is depicted that this sum always equals a unique polynomial over natural numbers. Moreover some properties of the coefficients of this polynomial are derived.More importantly a recurrence relation which can give the formulas for sum of any positive integral powers of first n-natural numbers has been proposed and it is strongly believed that this recurrence relation is the most significant thing in this entire discussion
Temperature Dependence Of Energy States And Band Gap Broadening
Authors: Et. al. Sharibayev Nosirjon Yusufjanovich,
Published: April 2021

Statistical analysis of energy levels is carried out. The density of surface states of MIS structures based on silicon is investigated. A mathematical model is constructed for the temperature dependence of the spectrum of the density of surface states for a wide energy range. A formula is derived for the density of surface states as a function of temperature. The thermal contributions of the expanded bands to the band gap of the semiconductor are taken into account. The resulting formula allows one to determine the density of energy states in the forbidden band in an explicit form, without taking into account the influence of the broadening of the allowed bands. This improves the accuracy of determining the concentration of impurities and defects in silicon.
Click Prediction for Advertisement in Websites using Linear Regression
Authors: Et. al. D. Ramya ,
Published: April 2021

Prediction is one of the most powerful and effective method used nowadays for improvement in business. Machine Learning Algorithms plays a vital role in predicting the future of business. It is widely used in the field of Marketing and Advertising fields also. The Commercial Value for the advertisement is gained based on the user click on the website. Digital advertisement and marketing play very important role in influencing the profit of business. Many Machine Learning algorithms were used for predicting and analyzing the online advertisement. In this paper, Linear Regression is used for predicting the user click on the advertisement.
Cost Optimization Of Micro-Grid Of Renewable Energy Resources Connected With And Without Utility Grid
Authors: Et. al. Dr. A. S. Kannan,
Published: April 2021

Arranging and enhancement of small-scale lattices in determined zone examined in this paper miniaturized scale framework is associated with and without grid to meet the load profiles, particular micro grid arrangements with age from sustainable power sources are developed. Better examinations are then conveyed utilizing HOMER vitality programming to decide cost of economy, measuring, and locating and framework designs. Micro grid is likewise associated with the network because of shortage of supported sustainable power sources. This paper shows a short differentiate among the assorted cost types of gear, control the board and launches for every one of the setups. The improvement result shows the most reduced expense per unit and it allots the positioning for every framework.
Effects of the Elderly on Social Participation Activities and Hope
Authors: Et. al. Gyeyoung Shin,
Published: April 2021

this study attempted to provide basic data on mental health by identifying factors that influence the personal characteristics of the elderly on social participation activities and hopes. Data collection conducted from October 1, 2019, to December 31, 2019, with the consent of the subjects, and a questionnaire used, and 144 participants used for the final analysis. The questionnaire was composed of demographic characteristics, social participation activities, and hope. The collected data were analyzed using descriptive statistics, t-test, ANOVA, Pearson's correlation, and multiple regression using SPSS 21.0 statistical program. Because of this study, differences in social participation activities according to general characteristics showed significant results in education, religion, cohabitation type, standard of living, and health concern. Hope showed significant differences in religion, marriage, cohabitation, monthly income, standard of living, housing, subjective health, and health concern. Social participation activities showed a positive correlation with hope, negative correlation with health concern, and hope had a negative correlation with subjective health status and health concern. In the results of the regression analysis, the factors influencing hope were in order of living standards and health concerns, and the factors used in the analysis showed 30.5% of the influencing factors.
Moderation Effect Of Counter Work Productive Behaviour On The Relationship Between Job Satisfaction And Organizational Citizenship Behaviour
Authors: Et. al. Dr. Gayathri Band,
Published: April 2021

OCB ordinarily alludes to practices that decidedly affect the association or its individuals (Poncheri, 2006). OCB can be influenced by imparting in workers an impression of skill in their activity undertakings (Todd, 2003). Bateman and Organ (1983) proposed a noteworthy and solid connection between organizational citizenship conduct and job satisfaction. Bateman and Organ (1983) proposed a critical and strong association between organizational citizenship and occupation fulfillment. Employment fulfillment has been found to have a positive association with work execution and organizational citizenship. The purpose of the present examination was to research if CWB could be gone with moderately high work fulfillment. The present study is undertaken to study if there is a significant moderating effect of CWB on the relationship between Job Satisfaction and Organizational Citizenship Behaviour. CWB is prejudicious to the organization or to co-workers. The Organizations ought to enhance the spontaneous organizational citizenship behaviors of workers to extend satisfaction and, hence, to extend the competitiveness within the organization. The survey results disclosed that job satisfaction encompasses an important positive impact on organizational citizenship behaviour which counterwork productive behaviour encompasses a important negative dampening impact on the link between job satisfaction and organizational citizenship behaviours. The organizations will improve the work satisfaction of their workers by rising perceived operating satisfaction, social satisfaction, and remunerative satisfaction, which might then improve the organizational citizenship behaviours and reduce the negative impact of counterwork productive behaviour.
Quality Of Work Life Factors Affects Employee Performance & Employee Satisfaction
Authors: Et. al. Dr. Gayathri Band,
Published: April 2021

Health is the best gift, peace is the best wealth. HR is a dynamic concept and so are the HR policies. Work Life Balance has gained tremendous importance since few years. Gone are the days of 9 to 5. When we coin the concept of Business Process Outsourcing or BPO; the thing which strikes our minds is odd timings. It is vital that attention be given to work life balance. Enjoyment and achievement are the two major factors which relate to the overall success of a person in whole. A person works for family & his own satisfaction. If the right balance is struck between work & personal life, it can result into miracles. The study is undertaken to study the effects of quality of work life on the employee performance and employee satisfaction. The factors considered for study are work family conflict, organizational commitment, work exhaustion, work overload, fairness reward, participative decision making, performance enhancement. The findings show that the five factors (Participative Decision making, Work exhaustion, Work overload, Fairness of reward and Performance enhancement) of quality of work life effects the performance of the employees of the banking sector in Nagpur. The four factors (Performance enhancement, Organization Commitment, Fairness of reward and Work family conflict) of quality of work life effect the satisfaction of the employees of the banking sector in Nagpur.
Optimization Approach To Optimal Power Efficient Based On Cluster Top Option In Wireless Sensor Networks
Authors: Et. al. Hasanien Ali Talib,
Published: April 2021

Wireless sensor network is the significant element in pervasive computing for various distributed applications which divides the resources or data among the peers between the sensor nodes to managing the bandwidth of network, node participants of the network, processing powers of the nodes. During the process of the distribution of the data, the one to one environment of the sensor networks, computation complexity and decentralization is the important issues because it completely reduces the entire system performance. So, this paper implementing the system to distributing the datum among the nodes in one to one environment using the distributed data clustered through the help about the honey-bee optimization with genetic algorithm approach. The analyzes of approach of cluster and relationship of the neighboring managing on the nodes of peer of the sensors in order to assist to decentralization process on the dynamic environment. Further a clustering search space is identified and each node is evaluated with the help of position, velocity, distance values which is examined in terms of using fitness value. Then a performance at a system is analyzed using the results of experimental while discussions such as packet delivery ratio, energy consumption and total number of alive nodes.
The General Maximum Entropy Method by Shannon and Tsallis Measures for Estimating Parameters of a Kink Regression Model
Authors: Et. al. Saad Obaid Jameel,
Published: April 2021

In this paper, the parameters of the Kink regression model were estimated using the general maximum entropy method with the Shannon and Tsallis measures And its application for the analysis of economic exposure data and the Debt/GDP ratio in the Iraqi economy. The results of the analysis showed the preference of the Tsallis measure of the order (α = 3) compared with other estimation methods. The results show a decrease in the Debt/GDP ratio after seeing the cut, and this corresponds to the state of the economy in Iraq during the security conditions that Iraq went through for the period from 2014 to 2017.
Realtime Object’s Size Measurement from Distance using OpenCV and LiDAR
Authors: Et. al. Dr. Bhavesh R. Patel,
Published: April 2021

In this paper, we are proposing a method to estimating the object’s size from distance using computer vision and LiDAR Sensor. The paper contains steps to gain the solution, training dataset with formulas, and its limitations. Proposed methods are to be implemented in robotics engineering, self-driving drone, car, and many more. This proposed algorithm aims to measure the size of an object from distance using the LiDAR sensor, Camera, and OpenCV Algorithm. This paper also includes a brief introduction of OpenCV, LiDAR Sensor, Realtime Object Detection methods.
Stages Of The Formation And Implementation Of Social Policy
Authors: Et. al. Khoshimov Pazliddin Zukhorovich,
Published: April 2021

The article looks at the concept of the socio-economic analysis of scientific sources carried out by scientists of four main historical stages of the formation and development of state social policy in the countries of Western Europe, which makes research topic relevant.

The scientific article gives scientific definitions to such categories as "social sphere", "social policy" by various scholars and authors. In addition, the article groups social protection programs, summarizes and comprehensively, analyzes the theoretical and scientific approaches to improving their effectiveness.  

Having done an extensive analysis of the research materials, the author makes a conclusion about the urgency strengthening measures for social protection of the population in order to avoid further economic recession.
Methodological System For Organizing Joint Innovation Activities Of The University And Enterprises
Authors: Et. al. Sh.S. Fayzibayev,
Published: April 2021

The content and the role of the methodological system, which provides for close interaction of higher educational institutions and enterprises of the country's industry sectors are considered in the process of training modern innovative professionally-oriented graduates with creative thinking, capable of creating innovations and implementing them into the real sector of the economy

The education system of the republic is aimed at ensuring high quality level of graduates. The determining content and quality of such training in the education system are innovative processes: complex, mutually influencing and mutually enriching processes. The choice of an innovation-oriented development path contributes to the provision of the education system with a high quality of training of specialists and an increase in the integration level of the market of educational services into the labor market by attracting faculty and students to the innovative activities of the republic's economy sectors. This will make it possible to orient the modern system of higher education towards a science-intensive, practically directed system of training and retraining of specialists [1].
Reflection Of The Use Of Intranet To Improve The Performance Of Electronic Governance An Exploratory Study Of The Ministry Of Higher Education And Al-Karkh Education Directorate
Authors: Et. al. Hussein Hamed Khudair Jinah,
Published: April 2021

The presence of a strong internal guaranteed and secure intranet with good specifications is the important factor in improving the performance of the institution and establishing a good system to start work with electronic governance, a basic and supportive indicator to strengthen comprehensive audit and optimization of available resources practiced by boards of directors or organizations according to the style and style of the institution chosen to run its affairs when preparing an organization with a secure and discreet internet network with global specifications, equipped with efficient and reliable information and communication systems that reassure the network users of relying on them to walk their administrative affairs and raise the level of the organization's performance by facing the risks that prevent the achievement of the objectives of the Organization. The internal network framework is also considered to provide all the requirements, electronic devices, modern communication equipment with high-quality technology and a practical and programmatic design that reduces the burden of administrative costs and strengthens the internal administrative system with its control auditing and reformative software systems with the ability to accelerate the completion of the work and archive it electronically and lack of storage and provide space and reducing space its size. In this study, the researchers discussed the necessity of employing the internal internet for the sustainability and stability of the management system for its institutional resources in order to reach its goals in the best ways, time and costs, and electronic governance that seeks to continuously adapt to the work environment and adapt to the challenges of the current era by programming the work of the departments and administrative divisions.
Civil liability for carriers of Coronavirus infection
Authors: Et. al. Dr. Arshed Taha Hattab,
Published: April 2021

The study is based on research into the civil liability for the transmission of covid-19 in Iraqi law, by identifying the definition of infection and the definition of the disease, what is covid-19, what methods of propagation and transmission, and what symptoms cause the patient, all we addressed in the first research. The second research is devoted to the provisions of civil responsibility for the CORONA virus, and the search for its pillars, namely error and damage, and this causal relationship and what is wrong, what damage is done to the victim of mers-co777 transmission, what is the damage caused, the causal relationship between the offender's fault and the damage, and whether the transmission is intentional or unintentional. The study concluded with the legal implications of that liability, which was limited to in-kind implementation and compensation. Finally, we concluded the research with a number of findings and recommendations, which may be a basis for the legislator to address this modern problem.
Effects Of Different Empirical Design Approaches For Size Galleries On The Behaviour Of Rock Masses During The Excavation Operation: Excavation Case At BAE Well
Authors: Et. al. Ismail Zaki,
Published: April 2021

The characterization of rock massifs is a delicate job; indeed, it is possible to understand the behaviour of intact rocks individually by laboratory tests but it is difficult to characterize them on the whole rock mass, which has undergone a complex geological history. Empirical approaches play an important role in the excavation of galleries and the design of support systems. These approaches are considered very effective in optimizing the tunnel excavation process. Several reliable empirical approaches have been developed, but the selection or use of an appropriate empirical method to design the tunnel excavation remains a difficult task. Therefore, in this work, the analysis of four approaches, the most used, of different empirical design was carried out to determine the behaviour of the rock mass during its excavation in a state of high in situ stress. This study was carried out on the scale of the ST2 rock mass of the worksite (BAE well 3) at the Bouazzer mine. These approaches include the AFTES classification, rock mass index (RMR), rock mass quality (Q) and geological resistance index (GSI). Based on the simulated statistical results obtained from said empirical approaches, through the finite element calculation, it was found that the application of the rock mass quality approach is very efficient in the excavation of the rock mass. gallery of size because it makes it possible to take into account the equivalent dimensions of the gallery, the stress condition in situ due to the excavation and the heights of overburden which are considered as major elements of the stability of the gallery. The method provides an optimized reinforcement and support design. In addition, this study will serve as a valuable basic document for the geotechnical engineer to design and plan support systems in the excavation of galleries under high in-situ stress.
A Comprehensive Analysis On Efficient Multimedia Storage Mechanism In Public Cloud Environment With Secured Access
Authors: Et. al. G. Megala,
Published: April 2021

Dynamic on-demand service has become the crucial part in cloud computing according to the user’s requirements. Cloud storage is clearly the top choice for archiving media assets, by choosing the public cloud for active, deep archive needs. Video on demand, media distribution system in cloud allowing users to access video, facilitating immediate download and view of data without traditional video playback devices. On demand service of video requires infrastructure resources to handle large load fluctuations. Major challenges of video demand services are delays in simultaneous video uploading, processing, accessing and traffic caused by exhaust services. Also, there are concerns over the security of assets stored in a public cloud remains. In this paper, an ample analysis is presented on file storage encompassing fragmentation, compression, encryption security concerns in cloud storage and access. The limitations in the existing is also provided and hence outlined the research direction towards an efficient storage mechanism with a secured access providing a reliable media data transmission between data owner and users in public cloud environment.
Bibliometric Analysis Of Sustainable And Green Consumption Research From 1974 To 2019
Authors: Et. al. Nornajihah Nadia Hasbullah,
Published: April 2021

The past decade witnessed the resurgence of sustainable consumption due to the strong support offered by companies, consumers, institutions, and society. Nevertheless, examination of sustainable consumption via bibliometric and network analyses is absent from the vast literature. In order to bridge this gap, a bibliometric analysis was performed on all publications related to sustainable consumption in the Scopus database for the period of 1974-2019. Upon analyzing 2352 articles, several parameters were determined, namely the trends in publications, the most popular journals, the productive countries of the most important countries, most of the studies cited and the list of keywords for further description (psychosocial factors).From the selected 160 journals, articles were most-frequently published in Sustainability Switzerland, while the Journal of Consumer Marketing ranked first for total citation. The emergence of sustainable consumption topic was spread across 120 countries and 159 academic institutions. This present study discovered that the United States dominated publication production, whereas Universität Göttingen in Germany was the most productive institution. Upon further systematic analysis using VOS viewer, 5333 keywords were listed. The top four clusters of psychosocial determinants were discussed in light of social norm, attitude, environmental concern, and perceived value. Building on the outcomes retrieved from this analysis, researchers may better plan their studies and contribute better insights of their empirical investigations.
A Study And Analysis Of Forecasts In Resource Allocation Using ARIMA In Cloud Environment
Authors: Et. al. L. Rajalakshmi,
Published: April 2021

Cloud computing refers to the delivering or usage of hosted services over internet rather than a traditional data center. Hosted services can be renting infrastructure/resources on demand or using the cloud as a platform to develop applications or using the cloud to host software that are accessed by clients. The bottom line is to obtain affordable resources from a provider and pay as you go in a flexible manner. In doing so, not all resources need to be obtained upfront. The initial capacity can be rented out and the remaining can be scaled as per the need. To handle such scalability, auto-scaling systems helps tackling the need to maintain the finite set of resources that can serve the current need and on the other hand also reduce the resources when the current need decreases. Very often in a cloud based environment it makes sense to adapt proactive strategies to scale the resources than to react after the surge had occurred. The proactive strategies use a quantified metric as a input to provision resources on demand that could meet the future expectations. This metric is obtained by carefully analysing the historical data of the application and in turn can influence the scaling decisions. Conclusions are drawn about the accuracy of the metric based on different timelines of historical information along with the confidence levels with which the prediction is done.
Morphological Transformation In Poor Lighting Images For Image Contrast Enhancement
Authors: Et. al. Gutta Srinivas Rao,
Published: April 2021

The paper presents a novel algorithm for the computation of the image decomposition using a morphological filter with reconstruction. The target applications are image contrast enhancement especially those with high dynamic content. Both bright and dark regions contrast enhancement were considered. A new hardware efficient implementation of decomposition is presented. Following decomposition in 5 levels of detail a local contrast enhancement is performed. The new reconstruction algorithm and its hardware implementation as proposed is shown to be independent on structural element size and that it results in a predictable time frame operation. A mixed schematic and VHDL/Verilog description of the decomposition filters was synthesized and results show far higher speed performance compared with solutions found in recent literature.

Image organizing strategies are essentially required to the pictures captured by satellites. The grey levels in the image captured by satellites need to be normalized for improving picture contrast. The pictures captured by satellites are generally poor in quality and the contrast levels are also very less. In this manuscript a differentiation approach dependent on scientific morphology called rotational morphological transformations are proposed using Modified Opening by Reconstruction Method (MORM). This methodology upgrade pictures with poor contrast and unable to recognize the objects in the image. In the images with poor lightening, morphological operations are performed to improve its clarity and contrast. Picture enhancement has been done by applying morphological operations on the satellite images considered. The technique utilizes data from picture by squares, while the morphological methods change the strategy using the contrast enhancement activity, which is utilized to characterize the multi-foundation poor lightening pictures. The total picture handling procedure is implemented utilizing MATLAB reproduction model. The MORM method is compared with the traditional methods and the results show that the proposed method is better in improving the accuracy rate.
Monophonic Musical Instrument Sound Classification Using Impulse Response Modeling
Authors: Et. al. Rutuja S Kothe,
Published: April 2021

The field of music has promising commercial and social applications. Hence it has attracted the attention of researchers, engineers, sociologists and health care peoples. Therefore this particular research area has been selected.

In this manuscript the monophonic musical  classificationsystem using impulse response of the system is presented. In this research work 19  musical instruments monophonic sounds from 4  families are   classified using WEKA classifier. The impulse response is of all musical instruments and families are  computed in Cepstral Domain. AsImpulse response is used to model the body response of the musical instruments and helps to capture the information.  It is different for different instruments. The features are extracted from impulse response and presented to WEKA Classifier.

The  Musical instrument classification for individual instruments and family is verified using impulse response modeling. It is found that the impulse response is different for different instruments. It helps to easily distinguish between instrument to instrument and family to family. For individual instruments, the average classification accuracy has been obtained is 83.23% and 85.55% for family classification.
Despeckling Algorithms For Removing Noise In Medical Images
Authors: Et.al D.Devasena
Published: April 2021

The medical and satellite images are mostly corrupted by a multiplicative granular noise called speckle noise which degrades the quality of the images captured by using medical imaging techniques and also Synthetic Aperture Radar images. It causes difficulties in image interpretation and this is mainly due to back scattered signals from the multiple targets. In medical field, the diagnosis of the tissues, bones and organs takes place by using imaging techniques. By using different imaging techniques, the medical images are captured and used for diagnosis. Different types of filtering techniques are proposed in the literature to remove the speckle noise in medical and satellite images. In this research paper different types of adaptive filters and its modifications are proposed and compared. The filters like modified lee filter, modified Edge Enhanced lee filter, modified fast bilateral filter and Modified Particle Swarm Optimization based despeckling algorithm. The results are verified for both simulated images and real medical images and also for Synthetic Aperture Radar images. The results are compared in terms of both objective and subjective analysis for simulated and real medical images. The simulation is done using MATLAB R2013 and the visual qualities of the images are analyzed for varying noise densities.
“The Impact Of Digital Wallets Threats And Safety Measures On The Level Of Usage” – A Study With Reference To Chennai
Authors: Et.al DR.B.BARACKATH
Published: April 2021

Digital wallet refers to an electronic system that enables a person to make purchases on a commodity or commodity class basis. It is a device that safely stores the payment details and password of consumers for the variety of payment methods and websites. The wallet may be Computer, Web, Smartphone or hardware wallets. Any payment by online format is subject to the limitations and threats of data security, which contribute to an increase in safety awareness of the use of information. Electronic wallets are used in the banking, investment, insurance, retail, educational, travel, entertainment and utility industries. The objective of this research study is to determine possible risks and safety measures for safer management of e-wallets and increased accessibility. An empiric research was performed by surveying 80 respondents and evaluating the data obtained by applying statistical methods such as one direction ANOVA, Matched t-test by using SPSS and Confirmatory multivariate statistical using Amos software. A simple structural equation modelling is often used to define a relationship between dependent and independent variables.
Face Bimagic Labeling On Some Graphs
Authors: Et.al B.Roopa
Published: April 2021

The existence of face bimagic labeling of types (1,0,1), (1,1,0) and (0,1,1) for double duplication of all vertices by edges of a ladder graph is proved. Also if G is (1, 0, 1) face bimagic, except for three sided faces then double duplication of all vertices by edges of G is face bimagic.
A Survey on Human Detection using Reinforcement Learning
Authors: Et.al Susmita Goswami
Published: April 2021

Human Detection - technology related to computer vision and image processing work by finding people in digital photos and videos and surveillance videos that are part of the observation. Single Shot Detector (SSD) is a deep learning method and is one of the fastest algorithms that use a single convolutional neural network to detect objects involving humans, cats, dogs, etc., and extract feature maps to classify the candidate object in the respective images. The advantage that SSD has is that it is quick to detect and has high accuracy in a given situation compared to regional suggested networks with smaller resolution images and smaller objects. However, it is still somewhat lagging in detecting large objects in larger images as compared to other algorithms that have been used to achieve better accuracy. It is a simple, end-to-end solution for a single network, and detection and extraction are done with one step forward single pass. The proposed system is to use the Optimized-SSD algorithm to detect human accuracy in the proposed database with good accuracy which will be the task of learning to increase SSD capacity as a detection system.
Color Interactive Contents System using Kinect Camera Calibration
Authors: Et.al Eunchong Ha
Published: April 2021

Recently, media content that interacts in real time is increasing. In this paper, we introduce a real-time color extraction content system that utilizes the Kinect camera used in ‘COLOR’ media art. The Kinect camera used in the work detects and tracks the joints of the visitors that enter the exhibition space. Kinect detected data is mapped to color calibration in a Unity environment to generate a point cloud video. Get the pixel color of the spine shoulder joint coordinates of the visitor in the point cloud image. The color data is output on the screen in the form of color one, and passes through along with the spectators. Color circle decreases as the distance between the visitors and Kinect increases and the distance increases. When visitors come in and the color circles overlap, color of the mixed part will have an intermediate value between the two color circles. This work shows the form of a person's social movement through the colors that each person has and the mixture of the colors. The technology used in this work differs from other media arts in that it extracted the calibrated image colors separately and advanced the interactive media arts. We will improve the accuracy of the point cloud that corrects the color image and the depth image, and improve the color extraction accuracy of the visitors.
Numerical Simulation Of Supersonic Compression Ramp Flow
Authors: Et.al Ki-Hyuk Yang
Published: April 2021

Shock wave/boundary layer interaction (SWBLI) is a highly critical problem that occurs in aircraft in transonic or supersonic flow. This study performed CFD analysis of the supersonic ramp flow of freestream Mach number 2.79. To secure reliability of the CFD analysis, adaptive mesh refinement using a gradient p sensor was used. Through this, a grid of sufficient resolution was obtained for the region of shock wave, expansion wave, and flow separation. The prediction performance of 7 turbulence models that are widely used in engineering application were compared. The baseline k–ω two-equation model showed the best prediction performance, while the SST k–ω model, which is one of the most widely used two-equation models, and the 2 Reynolds stress models showed relatively poor prediction performance. In the SWBLI problem, the use of adaptive mesh refinement made it possible to secure sufficient grid resolution; meanwhile, comparison of the prediction performance of the various turbulence models confirmed that for the SWBLI problem, the generally used turbulence model was somewhat inappropriate.
Distance Learning Solutions: Tools Used in Online Lessons
Authors: Khalilova Aysel Zahid
Published: April 2021

The goals of distance education in higher institutions were clear for many years. Nowadays, owing to the global pandemic situation, higher educational institutions (HEI) have had to transition from conventional teaching modes to online modes. Although many top-ranked universities were prepared for this situation, others suffered, since their distance education department existed only in name; their activities were passive. However, COVID-19 provided an opportunity for them to think deeply about their next steps.

In general, distance learning is an effective way of attracting adult learners. Furthermore, these learners desire a higher level of flexibility.

This article is based on the theoretical models essential to long-term plausibility and viability in the field of teaching practice. To evaluate the challenges and problems arising during online learning, the author has briefly reviewed all the contributions made to this field in the 21st century.

In addition, the paper suggests tools and facilities for teachers and instructors in order to facilitate effective communication between teachers and students, both in and out of the virtual classroom.  Researchers, post-graduate students and other readers will be able to use this paper to explore and exploit further modifications of research opportunities in this field.