bluuebunny/crossref_metadata_2025 huggingface dataset:
Leveraging Enterprise Architecture for Digital Transformation Adaptation Challenges in Higher Education Institutions
Authors: Et.al Wan Faezah Abbas
Published: April 2021

The rapid proliferation and emergence of mobile, digital technologies, smartphone devices, big data, cloud computing and Internet of Things (IoT) have given rise to a new era of Digital Transformation (DT). DT is shifting not only technological advancements but also involves changes to business processes, organization structure, business models, managerial and culture. Higher Education Institution (HEI) are undergoing some forms of DT and is affected by these changes. Technology is changing the way many HEIs operate and to ensure survival, HEI needs to adapt to DT changes. However, HEIs are facing difficulties in adapting to DT. The main objective of this paper is to identify DT adaptation challenges in HEI based on literature review. Result from the literature review lists the HEI DT adaptation challenges and Enterprise Architecture(EA) is identified as a facilitator and enabler to support DT initiatives.
Enhancing the Transparency of Student Merit System Using QR Code Technology: A Smart Campus Initiative
Authors: Et.al Muhammad Azhad Hilmi Muhammad Aiman Hilmi
Published: April 2021

Technology has led to the utilization of information systems into human daily life activities. Computer systems have helped improve the modern human lifestyle by simplifying and facilitating activities from listening to music, grocery shopping to communicating with peoples across the world. Gearing up to smart campus initiatives, one of the issues to be tackled was the transparency in validating the student’s attendance system used in many campuses and university events. The employment of technologies such as QR Code and facial recognition to validate the student’s attendance certainly have helped in addressing this issue. In order to ensure the transparency of the existing manual student merit system used in the campus, this paper presents a solution known as CyberScan QR Code for Student Merit System that allows the students to obtain merits by scanning QR codes, as well as allowing student councils to provide merits for any events by generating QR codes. Students can keep track of their current total merit points and the events that they have previously attended so if there are any problems regarding their merits, they can always refer to their history of attended events as evidence. This paperless solution merit system also helps to reduce the usual time taken to calculate a huge amount of merits thus preventing from any miscalculation. Clearly, this initiative creates not just an efficient, transparent service but another greater experience for students to feel connected academically and socially.
Identifying Social Commerce Features towards Improving a Social Commerce Website
Authors: Et.al Norshaharizan Puteh
Published: April 2021

Social commerce has become more popular compared to e-commerce. This is caused by the transition development of the business transaction website. It has shifted from the e-commerce website towards the social commerce website.  The e-commerce website has its standard features. However, there are few features in the market for the social commerce website. This research focuses on investigating the essential functions of social commerce that should be embedded into the social commerce website. The process of identifying social commerce features is done through literature reviewand summarized the features. The summarized characteristics than are analyzed and discussed with three expert reviewers to conform to the relevant social commerce features. At this phase, it involves several steps where the discussion started with an individual interview. The outcome then is consolidated into a table. The reviewed then be emailed to expert reviewers to get their feedback. The agreement from all of them then be gathered and summarized in a new set of features. The outcome of thisstudy will be useful for the development of a design template for a social commerce website.
The Use of Repeatable Components in Hybrid Models to Enhance Software Project Management Success
Authors: Et.al Marzanah A. Jabar
Published: April 2021

The management of software project development requires a dynamic and reactive environment to meet shorter time-to-market demands to address competition efficently in the software industry. This scenario requires the use of effective and robust methodologieswhere opportunities are not lost due to delays and failures in timely software project deliveries.The Agile Manifesto in 2001 which introduced 4 values and 12 principles was designed to develop and manage software projects in a more suitable and effective way to improvethe success rates of software projects. But, increase in overall success rates are still not significant with failure rates remaining plauteaued at about 30% over the last 10 years.  Hybrids methodologies seem to have worked better as agile hybrid management methodshave shown more promise when compared to pure agile methods with an overall success rate increase of 16%. There is evidence too that by combining agile methodologies with traditional methodologies, there would be a further increase in success rates. Whilst many hybrid methodologies have been suggested and researched, the gaps in the literature review reveal there is a lack of hybrid models that have been empirically developed and studied as second order components. To build a robust hybrid model, it is important to gather the relevant information and careful consuideration must be given to the design of the questionnaireto fit second order components and models must incorporate and provide for the use repeatable ways to test models once the data is collected.This paper presents a review of the current gaps in hybrid methodologies and proposes a questionnaire design that supports the research methodology and empirical study to be undertaken with second order components (Constructs).Further it looks at the design approach in questionnaires which incorporates the use of repeatable constructs and the measures used and emphasizes this as an important ingredient for developing and testing hybrid models in research studies.
Social Support in Massive Open Online Courses: A Literature Review
Authors: Et.al Buyut,V.C
Published: April 2021

Massive Open Online Courses (MOOCs) provide quality higher education resourcesfor people around the world. It allows massive number of learners to gain access to free, virtual based open educational subjects offered by accredited and world recognized top ranking institutional. However, numerous studies show that MOOCs success was marred by low completion and high dropout rates.This studyintends to identify and analyse the literature on the social support related factors influencing the utilization of MOOCs. Results from the review show that the relevant and related researchesare extremely limited which call for further studies to be done on influence of social support on MOOCs usage. The review reveals that emotional support is the most identified social support factor included in MOOC studies from various perspectives followed by informational support. Tangible support and belonging support are the least to be included in the selected studies. This review reveals that more researches are required to identify the impact of social support factors in influencing the utilization of MOOCs among learners.
Tina: Empowerment Based Design for Domestic Violence Survivors Mobile Application
Authors: Et.al Emma Nuraihan Mior Ibrahim
Published: April 2021

This paper presentsa preliminary work on empowerment-based design mobile application prototype for those living with or identified as domestic violence (DV) survivors in Malaysia.By using Design Thinking method, we developed a mobile application which acts as a social support platform for DV survivors especially to those who are reluctant or unwilling to seek help. The study was conducted with Women’s Aid Organization (WAO), an NGO responsible for the provision of aid to domestic violence survivors in Malaysia. The aim of this project is to enhance TINA (Think I Need Aid) services provided by WAO.For the prototype design, the study proposed five (5) categories of empowerment features which include (i) screening and assessment, (ii) emergency response (iii) evidence reporting (iv) preventative and (v) self-efficacy andempowerment. The prototype was then tested and evaluated in terms of its functionality and practicality with 10 participants representing various stakeholders. A qualitative analysis was used to analyse the participant feedback. The paper concluded with discussion of the results and future works.
Towards Adopting Software Quality Assurance in Agile Development Methodology
Authors: Et.al Rosnani Shuib
Published: April 2021

In agile software development methodology, software product is developed through a few iterations and delivered incrementally. In spite of the known benefits of the agile methodology, yet issue still exists in developing high-quality software product using this methodology. Hence, quality assurance mechanism should be in place in agile development to ensure quality adherence to the software product.  However, taking up quality assurance in agile software development is not an easy task as it has its own manifesto and principles that need to be met. Thus, this paper highlights the issues and challenges towards adopting quality assurance in agile development methodology.  Particularly, in aniteration where we need to assure that the product increment meets the requirements as well as to decide the requirements for next increment and iteration planning. Subsequently, few measuresare identifiedconcerning the issues. The discussion in this paper is based on Scrum case, yet still relevant to other types of agile methodologies.
Concept-based Recommendation System for Finding Serendipity
Authors: Et.al Kodai Tsukahara
Published: April 2021

Current information recommendation systems obtain users’ preferences from Web browsing histories and activities such as purchase of products, and efficiently provide the users with their preferable information. In such a case, however, the same or similar information is always recommended, which is called filter bubble and it decreases the users’ satisfaction to the systems. If information recommendation systems could provide users with something surprising and useful as output information, the user’s satisfaction to the systems would drastically increase. Therefore, “serendipity” is paid attention to in this research. In this paper, a new information recommendation system using a concept-based information retrieval is proposed to provide the users with serendipitous information. In this system, concepts which describe features or roles of items are input instead of the items themselves, and information which can meet the concepts are output as candidates of serendipitous information. The serendipitous information is extracted from the output information using the criteria which are the indexes of serendipity defined in this research. Through the evaluation experiment, it is revealed that the proposed system achieves the accuracy of 70% for the serendipitous information determination and the accuracy of 100% for the information retrieval, which are satisfactory for this research purpose.
Payment of Zakat on Business Using Stock and Goods:A Preliminary Analysis
Authors: Et.al Ahmad Zakirullah Mohamed Shaarani
Published: April 2021

Zakat is one of the obligations on every Muslim with the aim of helping those who are poor and needy while at the same time purifying the wealth and soul of the contributor. There are several types of zakat and one of them is zakat on business. In discussing Shariah issues related to zakat on business, one of the topics discussed is the method of payment of zakat on business, whether paying with money, stocks or business goods or a choice between the two. In view of the need to pay zakat other than using money, especially in the case of companies which have a shortage of cash and excess unsold merchandise, the study was conducted to obtain information on the debate of scholars on the Shariah rule for payment of zakat with goods, and their potential for application in business zakat payments, in addition to the challenges and constraints in its implementation. The study utilized a comprehensive library study, analyzing the arguments and scholars’ discussions related to the subjectand selecting the preferred opinions. The findings showed that in terms of the payment method for zakat on business, some scholars viewed that the payment of business zakat must utilise money, while some stated that the payment must be in the form of goods and stocks of the business itself, while some others stated that the payment of zakat on business is the right of the contributor  to choose from money or goods and stocks. The study also found that there were several issues and challenges in the implementation of zakat payments using business goods, including the existing fatwa on zakat on business that stipulated only money would be accepted as zakat payment and it must be paid to zakat authorities. The study also aimed to determine the type of goods to be accepted as business zakat payments, the method of zakat calculations on the goods and whether it should be at original cost price, current market price or premium or discount, and other issues.
Islamic Law Perspective regarding the Weretiger in the Malay Archipelago
Authors: Et.al Abdulrahman M.A.Albelaihi
Published: April 2021

This article discusses the origin, traits and role of the Weretiger within the context in Malay Archipelago communities. The Weretiger is type of Jinn that existence pre-dates human and its’ relationship with human have been establish prior to Islam. The Islamisation of the Malay Archipelago see’s that a syncretisation of old tradition into Islam and thus the practice of Weretiger still exists until todays. The scholar (ulama) are still debating in the Islamic Law perspective not just the ties between Weretiger and human but Jinn and human as whole using references from Al-Qur’an, Hadith and previous scholarly works.
Application of Decision Tree in Classifying Secondary School Students’ Tendencies to Choose TVET in Malaysia
Authors: Et.al Chia Ming Hong
Published: April 2021

The wave of Industry Revolution (IR 4.0) highlights the importance of technology in our life. The demand for technologist and skilled workers in Technical and Vocational Education and Training (TVET) are increasing day by day due to their expertise. TVET provides a platform for formal and non-formal learning to equip the youngsters in contributing to the development of a prosperous and inclusive nation. Moreover, TVET promises bright job prospects especially in fulfilling the manpower demand of IR 4.0.  However, students in Malaysia currently are not fully aware of the existence of TVET, since the number of students who join TVET are still below expectation. Therefore, the main objective in this study is to develop the best TVET model to classify the students’ tendency in choosing TVET after completing secondary school. From the literature, five main factors that hinder students’ interest in joining TVET are recognized, namely students’ interest, parents, society, TVET instructors and employers. In this study, 428 secondary school students from Kedah (Malaysia) are involved as respondents. Different types of decision tree models are developed based on the algorithms and the splitting criteria. Altogether, there are 15 variables derived from 5 main affecting factors mentioned above to determine the tendency of joining TVET. Consequently, the best TVET classifier with the misclassification rate of 0.2919 is selected, to predict the tendency of students who will be joining TVET in future. Our findings revealed that the variable of “Stream” plays as the primary and trifling roles. This classifier is beneficial in assisting the government to achieve the aim of upholding TVET in Malaysia.
Design and Analysis of FS-TSPC-DET Flip-Flop for IoT Applications
Authors: Et.al K.V.K.V.L Pavan Kumar
Published: April 2021

The paper outlines the utmost importance of energy-efficient devices for IoT applications and recommends adual edge-triggeredTSPC flip-flop in fully-static mode at 45nm technology with low supply rail carried out in CMOS using MENTOR GRAPHICS tool.The proposed flip-flop proved to be energy efficient compared to traditional double and single edge-triggered flip-flops in terms of latency, power, the figure of merit and area for IoT applications. A comparison of two types of dual-edge triggered flip-flops are analyzed concerning the mentioned performance metrics and deduces the best flip-flop for IoT applications. Clock overlap issues are turning down in dual edge-triggered TSPC flip-flopcompared with a conventional dual edge-triggered flip-flop in full static modeand allow stringent operation at 1V supply rail thatdelivers1.14uW power, 0.60fJ figure of merit and 531.99ps latency at 45nm CMOS
Effects of calcination temperature on the catalyst performance in a CO2 hydrogenation reaction
Authors: Et.al Nur Insyirah Zulkifli
Published: April 2021

Cu/ZnO catalysts were synthesized on Al2O3-ZrO2 support via impregnation method with addition of manganese and niobium promoters. Samples were calcined at 181, 350 and 518 ºC. Different characterization techniques such as H2-TPR and CO2-TPD were used to study the catalytic reduction behavior and catalytic basicity, respectively. H2-TPR studies shows that all the catalysts reduction occurred on the range of temperature between 237 ºC and 265 ºC. The CO2-TPD profiles showed that the calcination temperature significantly influences the basicity of the catalyst and the catalyst calcined at 35 0oC was proved to contain the highest amount of the basic sites. Furthermore, the characterization results were validated through analyzing of the catalyst performance during CO2 hydrogenation reaction and the results indicate that highest methanol yield of 12.2 % were obtained from the catalyst that calcined 350 oC.
Range Automatic Adjusted Current Transformer Primary Winning
Authors: Et.al Amirov Sultan Fayzullayevich
Published: April 2021

The article discusses the issue of introducing a correction factor for protection and control devices, as the value of the secondary current in a certain range of the auto-adjustable current transformer does not correspond to the value of the secondary current in another range determined by the difference of magnetic driving forces generated by the components of the primary current. Alternatively, an algorithm has been developed to account for the measurement error in this condition in an automatic system that controls the operating mode of the current transformer. It was also found that the output data should be transmitted taking into account the correction factor in order to ensure the proper operation of the protection and measuring devices when the current transformer is switched to another measuring range in the measuring range.
The Effect of Annealing On The Crystal Structure of the Surface of Silicon Doped With Iron And Cobalt Ions
Authors: Et.al Egamberdiyev Bahrom Egamberdiyevich
Published: April 2021

The paper reports results of the study of the distribution profiles of implanted iron and cobalt atoms in silicon as a function of the radiation dose and annealing temperature that was performed by applying the Rutherford backscattering spectroscopy (RBS). The effects of thermal annealing on the distribution of iron, cobalt, and in particular oxygen were studied. The authors strongly suggest that under certain heat treatment conditions and by applying specific radiation doses, the so-called epitaxial silicides will build on the surface of a single crystal, which can play the role of conducting or metal layers. One could consider theRBS method for analysis of both the topological distribution of dopants and the interaction of impurities.
Sand Drift and Measures to Mitigate Its Impact on the Railway Track
Authors: Et.al Makhamad MirakhmedovichMirakhmedov
Published: April 2021

This research provides an analytical review of measures to mitigate the impact of winds and flow on a railway track based on publications in English, Russian, French, Chinese and Spanish, identifies general and specific experience in the application of measures in a socio-geographical context, consistently sets out their physical and technical characteristics and advantages and disadvantages of technological solutions, identified prospects for further research to improve their technical, technological and economic efficiency.
Collaborative Classification Approach for Airline Tweets Using Sentiment Analysis
Authors: Et.al M.Veera Kumari
Published: April 2021

In the world there are so many airline services which facilitate different airline facilities for their customers. Those airline services may satisfy or may not satisfy their customers. Customers cannot express their comments immediately, so airline services provide the twitter blog to give the feedback on their services. Twitter has been increased to develop the quality of services[4]. This paper develop the different classification techniques to improve accuracy for sentiment analysis. The tweets of services are classified into three polarities such as positive, negative and neutral. Classification methods are Random forest(RF), Logistic Regression(LR), K-Nearest Neighbors(KNN), Naïve Baye’s(NB), Decision Tree(DTC), Extreme Gradient Boost(XGB), merging of (two, three and four) classification techniques with majority Voting Classifier, AdaBoost measuring the accuracy achieved by the function using 20-fold and 30-fold cross validation was compassed in the validation phase. In this paper proposes a new ensemble Bagging approach for different classifiers[10]. The metrics of sentiment analysis precision, recall, f1-score, micro average, macro average and accuracy are discovered for all above mentioned classification techniques. In addition average predictions of classifiers and also accuracy of average predictions of classifiers was calculated for getting good quality of services. The result describes that bagging classifiers achieve better accuracy than non-bagging classifiers.
Data Processing Physical Condition Test of Karate Athletes Based on Android
Authors: Et.al Suprayitno
Published: April 2021

The purpose of this study was to create a formula for presenting data on the physical condition of karate athletes in the form of application software on android. This research uses Research and Development approach. The population and samples in this study are students of the Physical Education Health and Recreation (40 people) who are taking karate courses and PPLP athletes in North Sumatra (15 people). The results of the research obtained from the validation of expert tests and field expert tests (North Sumatra Student Education and Training Centerathletes and Faculty of Sports Sciences students) showed that the physical condition test application software of karate sports meets the criteria of acceptability in accordance with aspects of usability, feasibility, accuracy and propriety. The score obtained from the validation of media expert test (72.7%), validation of material expert test (81.5%) and field expert test (79.8%) fall into a good category and do not need revision. Thus, the application of physical condition tests of karate sports can be used as a medium in the service of implementation instructions, information and evaluation of tests and measurement of the physical condition of karate athletes.
Degree based and neighbourhood degree-sum based topological indices of PAH(Dimer 1) in graphene context
Authors: Et.al Tamilarasi.C
Published: April 2021

In this paper, twenty degree-based topological indices and seven neighbourhood degree-sum-based topological indices of Dimer 1 (two units of chrysene) [4] 0D & 1D in the graphene context are enumerated. The Oligomer Approach[3] is practiced here to explore the interconnection between PAH ( cove type periphery based on 11, 11’-dibromo-5,5’-bis chrysene as a key monomer-Dimer 1) and graphene numerically through the indices.
An Extension of TODIM with VIKOR approach based on Gini Simpson Index of Diversity under Picture fuzzy framework to Evaluate Opinion Polls
Authors: Et.al Sunit Kumar
Published: April 2021

Cuong and Kreinovich was the first who gives the idea of Picture fuzzy set (PFS), which is an extension of intuitionistic fuzzy set (IFS) by cosidering positive, negative and neutral membership of element. In this paper, we have been worked on new entropy measure of PFS from the probabilistic view point and it’s properties are examined from mathematical point of view. A hybrid aproach is presented with the assistance of TODIM (Portuguese abbreviation for Interactive Multi-Criteria Decision Making) and VIKOR (Vlsekriterijumska Optimizacija I Kompromisno Resenje) methods. Further, we applied it to MCDM (multi criterion decision making) problems with picture fuzzy numbers (PFNs), where the information about criteria synthetic weights is partially known and completely unknown and show its existence with the help of some practical cases. After getting the output, we are able to infer that the proposed hybrid approach is comparatively better so as to handle the uncertainty and vulnerabilities for the decision making problems. Based upon these two approaches we can determine the opinion poll of voting outcomes and then, we compare its result with other MCDM approaches that exists in the literature.
Discrete Mukherjee-Islam Distribution and Its Characterization
Authors: Et.al Sabir Ali Siddiqui
Published: April 2021

In the present paper an attempt has been made to introduce discrete form of a well-known and widely used continuous distribution Mukherjee-Islam (MI) distribution. Further some characteristics of the discrete MI distribution have been discussed along with the estimation of its parameters.
Measuring ERP System Success: Success Indicators and Structural Equation Modelling Approach
Authors: Et.al Ovais Ahmed R
Published: April 2021

The study aims to analyse the system success of ERP Systems functioning at a leading Coal Producer Company in Odisha. The study is divided into two parts in the first part universal success indicators from the literature of ERP success measurement will be tested using factor analysis. In the second part of the study how factors influencing the success of ERP systems will be analysed using the updated G.Gable model by Princely Ifinedo. Data will be collected regarding 27 success indicators through a structured questionnaire from the end-users of ERP systems working at a Leading Coal Producer Company in Odisha. The sample size will be 330 i.e., at Confidence Level of 95(Ninety-Five)%  and Confidence Interval of 5(Five)% for a total end-user population of 3300. A hypothesis is formulated and data analysis will be conducted by SPSS for Factor analysis and AMOS for SEM. The result obtain will show that whether success indicators are present or absent in the ERP Systems working at Leading Coal Producer Company in Odisha. Based on the presence or absence of success indicators through the data received from the end-users we can clearly say that whether ERP Systems implemented has served its purpose fully or partially
The Influence of Blended Learning to Understanding Concept
Authors: Et.al Walib Abdullah
Published: April 2021

This study aims to explain blended learning and learning styles towards students' conceptual understanding. This study was designed as a quasi-experiment involving 84 students of the IslamicsEducation Department, Faculty of Education of Islamics Institute of Al-KhairatPamekasan, Indonesia. The research data were collected using a test. Before the study, tests were carried out for the experimental and control groups. Data were analyzed using descriptive statistics and ANOVA test with pre-test scores as covariates. The level of significance was determined at α = 0.05. The results showed that (1) there were differences in learning outcomes between those taught with the blended learning model and those taught with the conventional learning model. (2) The difference in learning outcomes between groups of students who had to learn styles and groups of students with low learning discipline. Student learning discipline had an essential role in the learning process. These findings indicated that blended learning could dominate the learning outcomes of students' conceptual mastery. Future research might be able to discuss the results of tests conducted to determine the effectiveness of mastery of learning concepts with other learning models.
Application Of Permissioned Blockchain For Automated, Efficient, Secure Cross Border Trade
Authors: Et.al Sreedevi B
Published: April 2021

There are lot of documents and confidential data involved in international trade. Banks offer financial services and also act as middleman for cross border trades. The verification process plays a vital role and it takes months to years, to complete. The major problem is to maintain integrity and confidentiality of the data shared, and to maintain fair trading process. Blockchain technology is introduced to increase the efficiency and security of the documents shared to the needed parties in the trade. Permissioned blockchain is used wherein the participants of the network are controlled and governed by the blockchain owner. Hyperledger fabric platform is used to implement the trade finance application. The main idea is to automate the verification processes in order to complete the trade financing within minutes to hours and to enhance security of the documents shared using Attribute Based Encryption (ABE) in cross border trades. The smart contracts in blockchain provides functionalities to assure that the information is tamper-free, auditable and verifiable.
Genetic Algorithm for Test Suite Optimization: An Experimental Investigation of Different Selection Methods
Authors: Et.al Chetan J. Shingadiya
Published: April 2021

Software Testing is an important aspect of the real time software development process. Software testing always assures the quality of software product. As associated with software testing, there are few very important issues where there is a need to pay attention on it in the process of software development test. These issues are generation of effective test case and test suite as well as optimization of test case and suite while doing testing of software product. The important issue is that testing time of the test case and test suite. It is very much important that after development of software product effective testing should be performed. So to overcome these issues of optimization, we have proposed new approach for test suite optimization using genetic algorithm (GA). Genetic algorithm is evolutionary in nature so it is often used for optimization of problem by researcher. In this paper, our aim is to study various selections methods like tournament selection, rank selection and roulette wheel selection and then we apply this genetic algorithm (GA) on various programs which will generate optimized test suite with parameters like fitness value of test case, test suite and take minimum amount of time for execution after certain preset generation. In this paper our main objectives as per the experimental investigation, we show that tournament selection works very fine as compared to other methods with respect fitness selection of test case and test suites, testing time of test case and test suites as well as  number of requirements.
The effect of Niobium oxide as a promoter on -Al2O3 based oxygen carrier for chemical looping combustion
Authors: Et.al Nur Adibah Mohd Ghazalia
Published: April 2021

Chemical looping combustion (CLC) is known as a low-cost strategy for the capture of carbon dioxide for fuel combustion. In CLC process, oxygen carriers (OCs) are the cornerstone and play a vital role in defining reaction process. The aim of the present work was to investigate the potential of niobium (Nb) as a promoter on the -Al2O3 and its behavior as an oxygen carrier for chemical looping combustion process. In this work, the Nb loading was varied between 5 – 15 wt. %.  Their behavior in CLC was analyzed by TPR, TPO, SEM and TGA. From the TPR results, the reduction temperature for 5 wt.%, 10 wt.% and 15 wt.% Nb loading were 560 ℃, 529 ℃ and 545 ℃, respectively which indicated that reduction reaction occurs around 500 ℃ and above. SEM analysis showed that increasing of Nb loading resulted in some agglomeration and thus lowering the ability of metal oxide to gain and release oxygen. The redox characteristics were carried out using TGA with 5% CH4/N2 was used as the reducing gas, while air was used as oxidizing gas. The highest oxygen transfer capacity was 3.0% which is presented by 5 wt.% of Nb loading. Since the addition of Nb successfully improved the oxygen transport capacity, it can be concluded that Nb is the potential candidate for oxygen carrier in CLC.
Learnings from a Lesson Study in Using Discovery Learning in Teaching the Mean of Grouped Data
Authors: Et.al Adrian U. Bugay
Published: April 2021

This paper probes, through a Lesson Study, how discovery learning and contextualized problems can be employed in teaching the mean of grouped data. The research lesson was implemented Grade 7 students of a national high school in Calamba City, Laguna, Philippines.  Through thematic analysis, three issues emerged from conducting the Lesson Study: (1) making meaning about the data in context fosters students’ mathematical understanding; (2) translating 21st century learning in the classroom with technical topics like the mean of group data can be done by shifting the focal point of the lesson on its importance and applications in life; and (3) identifying the critical points of a lesson is an indispensable process that teachers need to undergo in designing learning activities that promote 21st century learning and relevant to the demands of the Fourth Industrial Revolution. This study demonstrated how Lesson Study is an effective professional development intervention that allows teachers to view the learning process in a wider perspective, strengthen their skills in designing efficacious lessons, and bring forth change in their teaching practices via reflective stances on lessons.
Group Formation Using Friendship Graph in Managing Students’ Projects in Educational Settings
Authors: Et.al Ochilbek Rakhmanov
Published: April 2021

In the literature, there are several group formation methods such as random, self-selected, instructor-selected, and mixed, which have been outlined on how to form groups for effective learning and project completion. There is little empirical research on which of the approaches creates the best student learning experience. In this article, we examine the use of acquaintance and friendship graphs in generating groups to manage projects in a learning environment. This work focuses on freshmen and sophomores from faculty of Natural and Applied Sciences and faculty of Medicine at “Nile university of Nigeria”. In creating the friendship graphs for each of the classes, a questionnaire is employed. The responses from the students are transformed into graph input data. The resultant graphs are then analyzed to create the project groups. The performance (measured by group grades) of students in the projects is an evidence that this method of creating groups is effective. Moreover, the project completion time and average score of the projects show improvement in comparison to previous year’s groups, which were formed by instructor-selected method. Furthermore, testing our created groups against the normal standard of group formation using a balanced distribution of GPA scores, see [1], indicates that our method passed with 83%. In fact, when each student was presented with the opportunity to choose through voting whether to be within an instructor-selected group with a balanced distribution of GPA scores or a group formed by the friendship graph approach, an overwhelming 78% chooses the latter
Lesson Study: A Tool for an Improved Instructional Design in Teaching Integration by Parts
Authors: Et.al Daisy Lyn F. Mariano
Published: April 2021

This study aimed to develop instructional design in teaching the Integration by Parts in Calculus. By engaging in a Lesson Study, the researchers underwent careful planning of the design, executed it through a research lesson, noted key observations during the delivery of the lesson, and conducted a post-lesson conference. From the observations and insights during the post-conference, two themes emerged from where recommendations were drawn. The first theme pivoted on the propensity of teaching Integration by Parts as highly procedural and mechanical despite attempts at activating students’ higher-order thinking. However, the extent to which the tabular method could be advantageous should be explained to the students to clarify misconceptions about using it as a shortcut in performing Integration by Parts. The second theme revolved around how supportive classroom environment and the use of Tabular Method made the students more engaged. Nevertheless, providing learning experiences where students can be work on higher-order thinking and where they can process results of their collaboration was recommended to be incorporated in the instructional design. Generally, both Tabular and Conventional Methods play a crucial role in developing students’ mastery of this integration technique and may eventually allow them to make connections to the real world
The Impact of a Metacognitive Intervention using I.M.P.R.O.V.E. Model on Grade 7 Students’ Metacognitive Awareness in Mathematics
Authors: Et.al Napoleon A. Montero
Published: April 2021

This study sought to investigate the impact of a Metacognitive intervention on Grade 7 students’ Metacognitive awareness in Mathematics. Using Concurrent Action Research as the research design of the study, one heterogeneous Grade 7 class from a public high school in Metro Manila underwent a six-week Metacognitive Intervention using a structured Metacognitive instructional model called, I.M.P.R.O.V.E. (Introducing the new concepts; Metacognitive questioning; Practicing; Reviewing and Reducing difficulties; Obtaining mastery; Verification; and Enrichment). The quantitative aspect of the research included the assessment of the Metacognitive Awareness before and after the intervention period using the Jr. Metacognitive Awareness Inventory (Jr. MAI). On the other hand, student interviews, Focus Group Discussions (FGD) with the observers, and learners’ outputs were examined in the qualitative aspect of the research. Results revealed that there were large, and huge significant differences between the pre-test and post-test results of the Jr. MAI. Moreover, the intervention gained affirmative responses from the teacher observers and student participants as a good intervention tool to enhance students’ Metacognitive Awareness in Mathematics. Emergent issues on the utilization of the intervention were discussed such as: Questions that direct student learning; Enrichment of students’ Metacognitive experience; and Use of reflections in Mathematics. Recommendations on improving the model utilization were also discussed which included: selection of topics where the I.M.P.R.O.V.E. is appropriate to be used; and emphasis of objectives as “today’s target” in classrooms
Redistributed manufacturing system under uncertain evaluation using multi criteria decision making
Authors: Et.al Ponugupati Narendra Mohan
Published: April 2021

Man In recent day’s occurrence of a global crisis in Environmental (Emission of pollutants) and in Health (Pandemic COVID-19) created a recession in all sectors. The innovations in technology lead to heavy competition in global market forcing to develop new variants especially in the automobile sector. This creates more turbulence in demand at the production of new models, maintenance of existing models that are obsolete while implementation of Bharat Standard automobile regulatory authority BS-VI of India. In this research work developed a novel model of value analysis is integrated by multi-objective function with multi-criteria decision-making analysis by incorporating the big data analytics with green supply chain management to bridge the gap in demand to an Indian manufacturing sector using a firm-level data set using matrix chain multiplication dynamic programming algorithm and the computational results illustrates that the algorithm proposed is effective.
Positive Psychology Program: Stress And CoatingPrograma De Psicología Positiva: Estrés Y Recubrimiento
Authors: Et.al Edmundo Cabezas – Heredia
Published: April 2021

The purpose of this study was to determine the relationship between coping strategies and stress in the workers of the Food Company "ARSAICO" of the Canton Chambo - Ecuador. The study population is 20 workers that is the entire company, sociodemographic variables are considered for the study, this research is quantitative approach, descriptive type with non-experimental correlational and cross-sectional design. The tests applied were the COPE questionnaire for coping and WHO - ILO for stress. For the information processing, the statistical program SPSS version 24 and the Spearman correlation coefficient were used, finding a significant inverse relationship between stress and coping. Regarding the analysis between before and after the program, positive psychology decreases stress levels from medium to low with high coping.
Designing of Three Level 3 Phase Inverter Using Improved SPWM Modulation for different Loads
Authors: Et.al Anshu Sharma
Published: April 2021

Many high voltage applications require three-phase inverters.  The major challenge in inverter designing is the mitigation of harmonic distortion (HD) to achieve better inverting performance. Usually, sinusoidal pulse width modulation (SPWM) is widely used to trigger the inverting switches for controlling the total HD performance in the inverter. To provide the option of multiple operating ranges the multilevel inverters are designed for higher voltage operations. This paper contributes in two passes, first, an improved SPWM modulation is generated for designing the three levels inverter. Then in the second pass, the performance of the THD is evaluated under the different load conditions using V-I measurement. THD is present in the system due to the use of switches. Therefore, this paper has evaluated the performance of the proposed improved SPWM based multilevel inverter for analysis. In order to improve the performance, the modulation index of the SPWM block is varied. The performance of the component report is also presented in the short..the output waveform of the line current and the voltage are compared; The FFT analysis is done to evaluate the comparison of THD performance. It is concluded that improving the SPWM performance and the lording conditions may improve the THD performance also.
Capacity Estimation for 5G Cellular Networks
Authors: Et.al Vincent Yong Kai Loung
Published: April 2021

This paper outlines the requirements for 5G cellular networks driven by the combination of increasing throughput demand, improving coverage and the capacity estimation for wireless access in the next decade. Deployment of 5G networks will emerge between 2020 to 2030 in many countries and will be built upon existing sites. 5G will offer great benefits for both consumers and industries to achieve a ‘hyper connected society’ capable of zero-distance connectivity between people and connected machines. The applications, the use cases as well as the massive Multiple-Input-Multiple-Output technologies, for example antenna beamforming and network densification to enhance the system capacity and mobility of 5G cellular networks are discussed in this paper
Wideband MIMO antenna for SCADA Wireless Communication Backhaul Application
Authors: Et.al Nur Zafirah Bt Muhammad Zubir
Published: April 2021

A wideband multiple-input-multiple-output (MIMO) antenna system with common elements suitable for SCADA wireless communication backhaul application which is operating frequency of 0.85-2.6GHz that can cover global system for mobile communication (GSM) 900MHz and 1.8GHz, The Universal Mobile Telecommunication System (UMTS) 2GHz, Wi-Fi (2.4GHz) and Long Term Evolution (LTE) 2.6GHz is proposed. The proposed MIMO antenna system consists of four microstrip feedline with common radiating element and a frame shaped ground plane. A single port antenna also was designed and presented in this paper to show the process to design wideband MIMO antenna structure. The radiator of the MIMO antenna system is designed as the shape of modified rectangle with straight line at each corner to enhance the bandwidth frequency. To improve the isolation between ports, the ground plane is modified by inserting four L-slots in each corner to reduce mutual coupling. For an antenna efficiency of more than 60%, the simulated reflection coefficients are below -10dB for all ports at expected frequency. Simulated isolation is achieved greater than -10dB by using a modified ground plane. Also, a low envelope correlation coefficient (ECC) less than 0.1 and polarization diversity gain of about 10dB with the orthogonal mode of linear polarization and omnidirectional pattern during the analysis of the radiation characteristic are achieved. Therefore, the proposed design can be used for SCADA wireless communication backhaul application.
Gravitational Search Algorithm Based Automatic Load Frequency Control for Multi-Area Interconnected Power System
Authors: Et.al Samuel Jonas Yeboah
Published: April 2021

Demand and frequency deviation is gaining more popularity in power system research especially with multiple power systems interconnections and operations as a result of the complexity of power system network, network upgrade and renewable energy sources integration. However, stability of the power system with respect to momentarily fault of Load Frequency Control (LFC) models, in terms of time taken for the fault to settle, magnitude of overshoot and Steady-State Error (SSE) margin, still remain a challenge to the various proposed LFC designs for power system stability. This paper proposes an intelligent demand and frequency variations controller for a four-area interconnected power system using Gravitational Search Algorithm (GSA) optimisation technique. Proportional Integral Derivative (PID) controller and Gravitational Search Algorithm (GSA) were integrated and implemented on the interconnected power system. The optimised GSA-PID controller demonstrated robustness and superiority with time taken for the instability to settle and maximum overshoot in all the four areas as compared to results with Particle Swarm Optimisation (PSO) PID controller and conventional PID controller under 1% and 5% load perturbation. The settling time in all the areas produced tremendous results with GSA-PID controller compared to the results of PSO-PID and conventional PID, the performance of GSA-PID controller shows better dynamic responses with superior damping, less overshoot, minimum oscillations and shorter transient duration.