bluuebunny/crossref_metadata_2025 huggingface dataset:
Cdep: Qos-Aware Crowd-Deduplication with Efficient Data Placement in Big Data Analytics
Authors: Et. al. Bosco Nirmala Priya,
Published: April 2021

In current world, on account of tremendous enthusiasm for the big data extra space there is high odds of data duplication. Consequently, repetition makes issue by growing extra room in this manner stockpiling cost. Constant assessments have shown that moderate to high data excess obviously exists in fundamental stockpiling structures in the big data specialist. Our test thinks about uncover those data plenitude shows and a lot further degree of power on the I/O way than that on hovers because of for the most part high common access an area related with little I/O deals to dull data. Furthermore, direct applying data deduplication to fundamental stockpiling structures in the big data laborer will likely explanation space struggle in memory and data fragmentation on circles. We propose a genuine exhibition arranged I/O deduplication with cryptography, called CDEP (crowd deduplication with effective data placement), and rather than a limit situated I/O deduplication. This technique achieves data sections as the deduplication system develops. It is imperative to separate the data pieces in the deduplication structure and to fathom its features. Our test assessment utilizing authentic follows shows that contrasted and the progression based deduplication calculations, the copy end proportion and the understanding presentation (dormancy) can be both improved at the same time.
Optimum Energy Control of a Robotic Electric Vehicle at Time with Improved Control Assignment Approaches
Authors: Et. al. Damodara Reddy K,
Published: April 2021

Vehicles have made extraordinary commitment to the development of current culture by fulfilling the requirements for more prominent portability in everyday life. The development of Internal Combustion Engine has contributed a ton to the car area. In any case, a lot of harmful discharges as carbon dioxide (CO2), carbon monoxide (CO), nitrogen oxides (NOx), unburned hydrocarbons (HCs, etc have been messing contamination up, a dangerous atmospheric devation, and annihilation of the ozone layer. As the current pattern proposes, this method of transport is probably going to supplant inside burning motor (ICE) vehicles soon. Every one of the primary EV segments has various innovations that are at present being used or can get conspicuous later on. Improved control assignment approach strategies are fit for securing ideal force taking care of, obliging framework errors, and fitting ongoing applications can fundamentally improve the powertrain productivity at various working conditions. Rule-based techniques are just organized and effectively implementable continuously; however, a restricted optimality in force dealing with choices can be achieved. Enhancement based strategies are more fit for achieving this optimality at the cost of expanded computational burden. Over the most recent couple of years, these improvement based strategies have been being worked on to suit continuous application utilizing more prescient, recognitive and man-made reasoning apparatuses. This paper presents a conversation about these new patterns continuously improved control assignment approach. Consequently HEVs give better fuel economy contrasted with ICE based vehicles/regular vehicle. Energy management techniques are the calculations that choose the force split among motor constantly to improve the fuel economy and advance the presentation of HEVs.
Technical Strategies Of Selective Fmcg Marketers In India
Authors: Et. al. Dr. r. Karpagavalli,
Published: April 2021

This study aims at providing a better knowledge of Competitor Intelligence tools & techniques. “CHANGES REMAINS UNCHANGED “is a powerful eye-opener key tool. Since when world becomes Digitalized the marketing research also turned into digital form.  A common  customer never thinks that how our desired product Avails in the market. But the modern marketer could able to read their customer mind  without approaching them directly.. for this magical result one corporate company is reading & observing their rival competitor. This article based on  an empirical  study of Competitor intelligence tools & techniques strategies towards FMCG marketers of India
Microscopic Image Retrieval Scheme Using Neural Network For Multi Image Queries
Authors: Et. al. Jaipal Reddy Yeruva ,
Published: April 2021

In this paper, we describe the plan and advancement of a neural network based image retrieval framework for microscopic images using a reference information base that contains images of more than one information. Such an extraction requires a point by point assessment of retrieval execution of image highlights. This paper presents a survey of crucial parts of content based image retrieval including highlight extraction of color and surface highlights. The proposed neural network based image retrieval framework utilizes a multitier way to deal with arrange and recover microscopic images including their particular subtypes, which are generally hard to separate and characterize. Broad examinations on neural network based image retrieval frameworks show that low-level image highlights can't generally depict elevated level semantic ideas in the clients mind. This framework empowers multi-image inquiry to ensure the semantic consistency among the recovered images. New weighting terms, roused from information retrieval hypothesis, are characterized for multiple-image inquiry and retrieval. The multi-image inquiry calculation with the proposed weighting technique accomplishes about normal order exactness at the main position retrieval, beating the image-level retrieval precision by about ideal rate focuses for different infections separately. Utilizing low level highlights just does exclude human insight. In the event that human mediation is permitted in the image retrieval framework the proficiency supports up.
Comparative Analysis of Microstrip Patch Antenna of Wearable IOT Devices for Health Care
Authors: Et. al. Jyothsna Undrakonda,
Published: April 2021

The Advances in the biomedical applications demands an antenna having highefficiency and gain, low return losses and Specific Absorption Ratio (SAR) to beassociated with the wearable and implantable devices for the accurate data transferwithout any data drift. For this, multi-band MIMO (multi-input multi output)applications, the antenna design with the target parameters is a challenging task toestablish a rich and reliable wireless communication setup with the monitoring systemin SHM of both biomedical and industrial sectors. Higher SAR will create the hazardsto the human body. The gain of the antenna and return loss figures depends on thesignal loss in the human tissues. Another important design challenge is the antennasize, which should be convenient to carry. Usually, Micro strip patch antenna is usingfor such type of applications as it satisfies most of the design parameters. But thebandwidth and gain of MSP are very limited. Hence there is huge scope to enhancethe gain and bandwidth of the micro strip patch antenna to fit for the biomedicalinvasive applications. Artificial materials having negative permittivity andpermeability will yield a negative refractive index will do better than the existingmaterials in the antenna design for the ISM band(2.45-5.8GHz) and satellites (11-13GHz).
Efficient Model for Privacy Preserving Classification Of Data Streams
Authors: Et. al. P Rajendra Prasad,
Published: April 2021

Privacy preserving data mining has become progressively mainstream since it permits sharing of privacy delicate data for examination purposes .So individuals have gotten progressively reluctant to share their data, regularly bringing about people either declining to share their data or giving inaccurate data. As of late, privacy preserving data mining has been concentrated broadly, on account of the wide multiplication of delicate data on the web. Data Mining manages programmed extraction of already obscure examples from a lot of data sets. These data sets ordinarily contain touchy individual data or basic business data, which thusly get presented to different gatherings during Data Mining exercises. This makes hindrance in Data Mining measure. Answer for this issue is given by Privacy preserving in data mining (PPDM). PPDM is a specific arrangement of Data Mining exercises where procedures are developed to secure privacy of the data, so the information revelation cycle can be completed without obstruction. The target of PPDM is to shield delicate data from spilling in the mining cycle alongside exact Data Mining results. The objective of this paper is to introduce the survey on different privacy preserving strategies which are useful in mining huge measure of data with sensible productivity and security.
Secure Optical Encryption Technique for Real Time Security Related Applications - A Review
Authors: Et. al. Anusree. L,
Published: April 2021

Recent development in the digital system shows that data security is most important and that optical encryption can be used not only to keep signals confidential but also to authenticate information. By integrating sparsity constraint with optical encryption, the reconstructed decoder image is not always visually recognizable, but can be authenticated using optical correlation means methods. Traditional optical encryption methods can add an extra layer of security to this design as it authenticates without leaking primary signal information. This paper discusses advances in optical authentication and includes theoretical principles and implementation examples to demonstrate the workings of typical authentication systems. Benchmarking and upcoming possibilities are discussed and it is hoped that this review work useful in advancing the field of optical safety.
Cyber-Physical Quality Systems in Manufacturing
Authors: Et. al. Mathew Chacko,
Published: April 2021

Digital Twin-based Cyber-Physical Quality System (DT-CPQS) concept involves automated quality checking, simulation, and prediction of manufacturing operations to improve production efficiency and flexibility as part of Industrie4.0 initiatives. DT-CPQS will provide the basis for the manufacturing process to march towards an autonomous quality platform for zero defect manufacturing in the future. Analysing sensor data from the CNC machine and vision monitoring system it was concluded that there was enough signal data to detect quality issues in a part being machined in advance using statistical/mathematical models (Smart PLS) and using machine learning algorithms. This allows the operator to take corrective actions before the resultant part ends in a quality failure and reduces the inspection time. The proposed approach forms the basis in expanding this concept to a large machine shop wherein by monitoring various parameters of the machines and state variables of the tools we can detect quality issues and develop an automated quality system using machine learning techniques.
Wireless Green House Monitoring System Using Raspberry PI
Authors: Et. al. Tripura Pidikiti ,
Published: April 2021

A Greenhouse is a framed structure that is used for the production of fruits, vegetables, flowers, and any other plants that require special conditions of temperature and humidity. Greenhouses warm up during the day-times when sun-rays penetrate through them, which heat the plant, soil and the structure. The greenhouse effect is a natural phenomenon and is very beneficial to the human being. With lack of proper green house monitoring and control system the production decline which leads to loss.There are many challenges starting from plant growth to maintenance for which monitoring and control of greenhouse is needed. This paper explains the design and implementation of a network with wireless sensors for greenhouse environment monitoring and controlling. This greenhouse control system is controlled by Raspberry pi with its wifi capability that is attached to a temperature sensor, soil moisture sensor, Light Dependent Resistor (LDR) sensor, 12V DC fan and pump. With the monitoring and control of greenhouse the performance of the system and production can be increased. A prototype was designed and builtup whose results were presented.
Inventory Model with Demand Dependant on Unit Cost- Input Parameters as Triangular Fuzzy Numbers
Authors: Et. al. R. Kasthuri,
Published: April 2021

This paper considers an inventory model in which the shortages are backlogged and the demand is dependent on unit cost. An optimum value for average total cost is calculated by considering various input costs, lot size and maximum inventory under fuzzy environment. The process of defuzzification is done by using the signed distance method. Numerical example and sensitivity analysis is given for calculating both crisp and fuzzy values of the total cost.
Detection and Classification of Haze Affected Images Using CNN Approach
Authors: Et. al. Senthil Kumar K Pa,
Published: April 2021

Detection and classifications of the haze affected image is important for the real time multimedia data transmission and reception in remote mode in order to improve the quality of the received image or video sequences. In this paper, Convolutional Neural Networks (CNN) classification approach is used with Shearlet Transform for the detection and segmentation of haze affected images.The image to be tested for haze pattern detection is preprocessed and then it is decomposed with shearlet transform. The features are computed from the shearlet transform decomposed coefficients and then these computed features are classified by the deep learning CNN for identifying the haze affected images. This proposed haze classification method is tested on both indoor and outdoor environmental images.
A Survey on Heart Attack Prediction Using Machine Learning
Authors: Et. al. P.Santhi,
Published: April 2021

Machine Learning Algorithm is used for many different diseases. Machine Learning is a learning of machine by own itself. And it is a part of AI that deals with to learn a machine according to their own. Now-a-days most are affected due to Heart attack it becomes head ache for doctors. In order to reduce the count of death we need to predict the Heart attack. For this problem Machine Learning play a major role in this paper. This prediction takes a people from the danger zone of their life. In this paper we use KNN algorithm and Random forest algorithm can predict the heart attack in advance.
Numerical calculation of heat and mass transfer processes in the adsorbers of the air purification system
Authors: Et. al. O.V. Tushavina,
Published: April 2021

In this work, a series of parametric calculations was made for the processes of sorption and desorption of water vapor in relation to the conditions of the process of sorption air purification. A mathematical model was developed that adequately reflects the processes of heat and mass transfer in the adsorption unit at all stages of the adsorption cycle. Algorithms for solving problems and programs for calculating heat and mass transfer processes in an adsorption regenerated installation are obtained, results of parametric calculations of heat and mass transfer processes at each stage of the adsorption cycle and for the entire cycle as a whole are obtained.
Can Chess Ever Be Solved
Authors: Et. al. Naveen Kumar,
Published: April 2021

Data Science and Artificial Intelligence have been all over the world lately,in almost every possible field be it finance,education,entertainment,healthcare,astronomy, astrology, and many more sports is no exception. With so much data, statistics, and analysis available in this particular field, when everything is being recorded it has become easier for team selectors, broadcasters, audience, sponsors, most importantly for players themselves to prepare against various opponents. Even the analysis has improved over the period of time with the evolvement of AI, not only analysis one can even predict the things with the insights available. This is not even restricted to this,nowadays players are trained in such a manner that they are capable of taking the most feasible and rational decisions in any given situation. Chess is one of those sports that depend on calculations, algorithms, analysis, decisions etc. Being said that whenever the analysis is involved, we have always improvised on the techniques. Algorithms are somethingwhich can be solved with the help of various software, does that imply that chess can be fully solved,in simple words does that mean that if both the players play the best moves respectively then the game must end in a draw or does that mean that white wins having the first move advantage. Let’s figure it out.
Ensemble Distributed Search-FSGM-CRD Compressed Cache Algorithm for Large Datasets
Authors: Et. al. M. Sailaja,
Published: April 2021

Frequent sub-graph mining (FSM) is a alternative of frequent pattern mining where patterns are graphs. Among the entities, graph based representation is utilized to effectively represent the complex relationships. Various graph mining techniques are developed from the past many years, most the challenging tasks in graph mining is frequent sub-graph mining (FSM). In FSM many of the existing algorithms consider only graph based structure, the relationships based on entities involved and strength is not considered. It is very important to handle the complex and huge data. There is very huge demand in distributed computational approaches. In this paper, An Ensemble Distributed Search-FSGM-CRD Compressed Cache Algorithm is developed and implemented to find frequent sub graphs
Applications Of Mathematical-Oriented Elements And Approaches In Civil Engineering: A Critical Review
Authors: Et. al. Lovneesh Sharma,
Published: April 2021

The rapid technological modernization in civil engineering is diligentlyconnected to the interdependenceamongst mathematics and civil engineering. This demands civil professionals be more competent and trustworthy in their mathematical and engineering abilities. This paper reviews the tendencies of engineering complications that involvemathematical-oriented fundamentals. Introductions to the civil engineers at the place of workproposeunderstandings of the nature of complications in the actualbackground and an examination of the mathematical-oriented fundamentals in cracking these difficulties. The findings recommendthat the mathematicalinformative endeavours assimilatetrustworthy problem-solving understandings for civil engineering scholars. Functioning research is one of the modernsubdivisions of practical mathematics. Due to the extensive applicability and substantialusefulness, its expansion became significant, the business revolution and the spectacular growth of the calculationprocedure had animportant role. The operative research deals with the resilience of afinestconclusion as a symbol of the defrayal of deterministic and stochastic depictionsorganized for the learning of monetary andorganizationalspectacles. From a rationalmethodology, the development of the elaboration of a conclusion is edged by numerous decisional prototypes, as well as the eminence quodictating the settlement commissioning a result is measured by the volume, erection and excellence of the existingdata. Subsequently, the supervisors may use mathematical prototypes of optimization which are supportive for captivating a conclusion under the conditions of reliability, which means all importantessentials are known, as following: Decisional imitation; Decisional board; thepractice of global utility. In most of the subjectsacknowledged, it is assetobserving that the use of mathematics is extensively applied in civil and structural engineering complications. The uncontaminated mathematical connotations seem to be subliminallysecreted and entrenched behind the ‘civil and structural’ of the complications, but it remains appropriate to know whereverdiagnostic results originated from. Therefore, it can beaccomplished that the mathematics-oriented acutethoughtfulfundamentals are suggestivelyrequired to crackseveral civil engineering places of work problems.
Analysis and Visualisation of Research Trends in Nano Material: A General Review
Authors: Kumar Ranvijay
Published: April 2021

Technically, the material possessing a minimum, one external dimension measuring 1-100nm is called Nanomaterial, and cannot be seen by the naked eye. The bibliometric analysis had been conducted to understand the active authors, organizations, journals, and countries involved in the research domain of “Nanomaterial”[1], [2].  All published articles related to “Nanomaterial” from “Scopus”, were analyzed using the VOS viewer to develop analysis tables and visualization maps.This article had set the objective to consolidate the scientific literature regarding the “Nanomaterial”and also to find out the trends related to the same.The most active journals in this research domain were Construction and Building Materials and Composites Science and Technology. The most active countries were China and the United States of America. The leading organizations engaged in the research regarding Nanomaterial was the Chinese Academy of Sciences, the North Eastern University of China, and the Ministry of Education of China.The most active authors who had made valuable contributions related to Nanomaterial were Wang Y. and Yang H.
Bernstein Type Inequalities for Polar Derivative of Polynomial
Authors: Chanam Barchand
Published: April 2021

If   is a polynomial of degree n such that in , , then Govil [ Proc. Nat. Acad. Sci., Vol. 50, pp. 50-52, 1980. ] proved            

provided  and attain their maxima at the same point on the circle , where .

Equality in the above inequality holds for.

In this paper, we extend the above inequality and an improved version of this into polar derivative of a polynomial.
Israeli Primary School Teachers' Attitudes towards Using Digital Educational Games in Classroom: Empirical Study
Authors: Shamma Fathi Mohsen
Published: April 2021

This study investigated the Israeli primary school teachers' attitudes towards using digital educational games in classroom. Through adopting a descriptive analytical approach, the required made sure that the goals of this research. The researcher employed the purposive sampling method for selecting a sample. The selected sample consists from 300female and male primaryIsraeli primary school teachers. Those teachers were selected from 25 primary schools. Those schools are located in the Northern District in Israel. Questionnaire forms were distributed via email to the selected teachers. 288 forms were retrieved. The response rate is 96%. Through the use of the SPSS software, the data collected from the sampled teaches were analysed. The researcher concluded that Israeli primary school teachers show positive attitudes towards using digital educational games in classroom.  Such use improves students’ leadership, problem solving and critical thinking skills and raise their self-confidence and academic achievement levels. However, it doesn’t allow instructors to identify the extent of progress achieved by learner. The researcher recommends providing teachers in Israel with professional development courses about modern teaching methods and the significance of employing digital educational games.
A Bibliometric Analysis and Visualisation of Research Trends in Allergy of Chromium Implants
Authors: Chauhan Jasgurpreet Singh
Published: April 2021

The metal hypersensitivity of implants is a vital factor affecting the safety of implants. The bibliometric analysis had been conducted to understand the active authors, organizations, journals, and countries involved in the research domain of “allergy of Chromium implants”. All published articles related to “allergy of Chromium implants” from “Scopus”, were analyzed using the VOS viewer to develop analysis tables and visualization maps. This article had set the objective to consolidate the scientific literature regarding “allergy of Chromium implants” and also to find out the trends related to the same. The most active journal related to this research domain was Contact Dermatitis. The most active countries were the United States of America and Germany. The leading organization was Ludwig Maximilian University of Munich, Germany. The most active authors who had made valuable contributions related to the allergy of implants was Thomas P.
A Bibliometric Analysis and Visualisation of Research Trends in Toxicity of Steel-implants
Authors: Singh Gurmeet
Published: April 2021

Steel is one of the most used metals for implants and toxicity is an important issue associated with steel implants. The bibliometric analysis had been conducted to understand the active authors, organizations, journals, and countries involved in the research domain of “Toxicity of steel-implants”. All published articles related to “Toxicity of steel-implants” from “Scopus”, were analyzed using the VOS viewer to develop analysis tables and visualization maps. This article had set the objective to consolidate the scientific literature regarding “Toxicity of steel-implants” and also to find out the trends related to the same. The most active journals in this research domain were the Journal of Biomedical Materials Research and Bio-materials. The most active country was the United States of America, and the leading organization engaged in the research regarding the toxicity of steel-implants was the Tulane University of United States of America. The most active authors were Sousa J. P and Niinomi M.
A Bibliometric Analysis and Visualisation of Research Trends in Toxicity of Nickel-implants
Authors: Thind Gurpreet
Published: April 2021

Nickel is one of the most used metals for implants. The bibliometric analysis had been conducted to understand the active authors, organizations, journals, and countries involved in the research domain of “Toxicity of Nickel-implants”. All published articles related to “Toxicity of Nickel-implants” from “Scopus”, were analyzed using the VOS viewer to develop analysis tables and visualization maps. This article had set the objective to consolidate the scientific literature regarding “Toxicity of Nickel-implants” and also to find out the trends related to the same. The most active journals in this research domain biomaterial. The most active country was the United States of America and United Kingdom. The leading organization engaged in the research regarding the toxicity of Nickel implants was the Rush University Medical Center, United States of America. The most active author who had made valuable contributions related to the toxicity of Nickel implants was Hallab N.J.
A Bibliometric Analysis and Visualisation of Research Trends in of Corrosion of Hip Implant
Authors: Verma Meenakshi
Published: April 2021

Innovations and advances in material engineering and surface engineering play a key role in developing modern, safe, durable, and biocompatible implants. The bibliometric analysis had been conducted to understand the active authors, organizations, journals, and countries involved in the research domain of “corrosion of hip- implants”. All published articles related to “corrosion of implants” from “Scopus”, were Journal of Bone and Joint Surgery and Journal of Arthroplasty. The leading organization engaged in the research regarding surface coating of hip implants was the Rush University Medical Centre. The most active author who had made valuable contributions related to the corrosion of implants was Jacobs J.J
A Bibliometric Analysis and Visualisation of Research Trends in Toxicity of Chromium Implants
Authors: Gill Rana
Published: April 2021

The toxicity of implants is a vital factor affecting the safety of implants. The bibliometric analysis had been conducted to understand the active authors, organizations, journals, and countries involved in the research domain of “toxicity of Chromium implants”. All published articles related to “toxicity of Chromium implants” from “Scopus”, were analyzed using the VOS viewer to develop analysis tables and visualization maps. This article had set the objective to consolidate the scientific literature regarding “toxicity of Chromium implants” and also to find out the trends related to the same. The most active journals in this research domain were the Journal of Biomedical Materials Research, Journal of Bone and Joint Surgery, and Biomaterials. The most active country was the United States of America. The leading organizations were the University Medical Center and the University of Strathclyde. The most active authors were Grant M.H., Jacobs J.J, and Savarino I.
A Bibliometric Analysis and Visualisation of Research Trends in Allergy of Cobalt Implants
Authors: Singh Ranvijay
Published: April 2021

The metal hypersensitivity of implants is a vital factor affecting the safety of implants. The bibliometric analysis had been conducted to understand the active authors, organizations, journals, and countries involved in the research domain of “allergy of Cobalt implants”. All published articles related to “allergy of Cobalt implants” from “Scopus”, were analyzed using the VOS viewer to develop analysis tables and visualization maps. This article had set the objective to consolidate the scientific literature regarding “allergy of Cobalt implants” and also to find out the trends related to the same. The most active journal in this research domain was Contact Dermatitis. The most active countries were the United States of America and Germany. The leading organization of this research domain was Ludwig Maximilian University of Munich, Germany. The most active author who had made valuable contributions related to the allergy of Cobalt implants was Thomas P.
A Study on the Challenges Being Faced by Chandigarh University Students and their Parents during Covid-19 Lockdown
Authors: Kanojia Sonika
Published: April 2021

These days when India is locked down, apart from the economy the hardest thing getting suffered is our students’ education. They were in the midst of their classes or examination when this Covid-19 a coronavirus attacked India. Very wisely the India government took the decision to lockdown whole India in very initial stage. Chandigarh University management announced postponing the exams and immediately asked the students to move to their homes, if possible. This decision was taken one week in advance to the Indian Government decision. It was on 14th of March, 2020 when the management of the University decided the wellbeing of their students and asked them to move back. With this effort, most of the students reached their homes and staying with their parents. In all this set back an emotional support is very necessary.  This study was initiated to understand the physical and emotional wellbeing of the students of Chandigarh University. The results found are very positive as most of the students are safe including those who could not leave their hostels because of any reason. They are being taken good care by Chandigarh University Management. In this study, we have tried to find out if the students are facing any challenges and if they are worried for anything. It will support the management to put their best effort forward to make the things even better for the students. The student strength of Chandigarh University belongs to complete India so this study will help all educational institutions to better support their students.
The Failure of the European Union to Respond to the Refugee Crisis
Authors: Et. al. Abdullah Omar Yassen,
Published: April 2021

Purpose: Recent UNHCR figures show that a record 70.8 million refugees are forcibly displaced. Millions of refugees are trapped in protracted refugee situations, and have been so on average for 25 years; this compares with 17 years in 2003, and nine in 1991. The research addresses whether the existing international refugee law regime is capable of addressing this crisis, or whether the issue is that member states do not comply with the refugee regime

Results: This research highlights the failure of European Union to respond to the refugee problems. The figures show that there are more refugees trapped in protracted situations than before and also that their plight takes longer to be resolved. Therefore, from the perspective of persons born in danger zones, one is more likely to be a refugee in 2019 than in 2014, yet less likely to find a durable solution.

Methodology: The study adopted a doctrinal methodology by exploring legislation and directives to identify whether these laws can address refugee issues.

Novelty/originality of this study: Forced migration has received negative media coverage and politicians, especially right-wing parties, have used migrants as a scapegoat. This paper identifies some of the myths of migration to demonstrate that, if given the opportunity, migrants can contribute positively to economic growth and integrate with local communities
Bio Inspired Approach for Generating Test data from User Stories
Authors: Et. al. A.Tamizharasi ,
Published: April 2021

In Agile model where the software prototypes are developed frequently and also rapidly, testing becomes more critical. Generating an effective Test case for complex system is a challenging task involved in software testing. The major research challenge in this area includes the test case generation with limited resources, identifying the essential functional requirement that plays a crucial role and automation of the test case generation process. To solve this issue, a hybridized bio inspired approach is proposed to generate test cases from the user stories which accepts the business requirements as input, processed using NLP and develop functional test cases from it. The proposed algorithm is compared with other existing algorithms and the experimental results proved that the proposed algorithm is more efficient in many cases.
A Survey on Face Analysis and Its Applications (Face Recognition & Facial Age Estimation)
Authors: Kamra Anchal
Published: April 2021

Face Recognition is a widely used research area that is being carried out by researchers in order to use it in different areas. The reason is its sole importance in a number of applications like face detection in crime scenes by the videos of the CCTV cameras, biometrics, authentication in customer relationship etc. A problem that arises in face recognition is that because of complex features like wrinkles, facial expressions, aging, the face of a person is sometimes not recognized by the system. If a fine approach is achieved which can estimate the correct age of a person despite of the aging factors which affect the image, then most of the problems in the face recognition would be solved. This review paper provides a detailed survey of the various state of art techniques of age estimation which are helpful in face recognition.
Comparisons of Energy Efficiency Management Techniques in Cloud Based Environment
Authors: Et. al. Krishan Tuli ,
Published: April 2021

Cloud computing has been transforming large part of various IT services into virtualization which are made available as a utility services and scheduling plays a vital role here to get maximum utilization from various physical resources. Cloud Computing has been offering its virtual resources and services anywhere and anytime on pay-as-you-go basis. So, Cloud Computing becomes a backbone in the various fields of Industry and Academia for providing the storage backups, load balancing and most importantly providing the dynamic resource scheduling on a real-time basis. Therefore, energy consumption will be very high by the various clod data centers which lead to very high amount of operational cost and harm the environment as well. Hence, there is a requirement of Green Computing for the sustainability and ensuring the energy efficiency by energy efficient techniques. In present scenario, various energy efficient algorithms have been proposed by the researchers which reduce the energy efficiency of cloud environment. But all these algorithms have been evaluated using the same experimental environment which gives the related results and it becomes difficult for the researchers to choose the best algorithm among them. So to provide the better understanding on the various algorithms and helps researchers for choosing the best suitable algorithm, we have compared the various state of art energy efficient algorithm in more detailed way considering various prospective. Along with the comparison, we have also done studied the overview of investigated algorithm. Finally, we have the literature survey of various others related to different parameters and techniques. From the same literature survey, we have come to the conclusion of each author’s statement.
Internet of Things (Iot): A Review
Authors: Et. al. Gurpreet Singh,
Published: April 2021

Nowadays highly cited types are interconnected over through the Internet. It can take control of and enable so many services from the mobile phones devices. You can arrange passes, banking, traffic controls, clear your dues, get municipal certificates etc. Because of the devices' complexity design, IoT have several issues such as information exchange and influence, big data, scalability, protection, interoperability. Numerous (sensing) devices in the network continue to maintain and send the information to the power area for planning and policy making. This paper helps you understand what IoT is, then what the main dilemmas.
Privacy Protection in Bigdata: A Survey
Authors: Et. al. Saumya Gupta,
Published: April 2021

Bigdata becomes a significant sector and academics research topic. Bigdata is a two-edged sword. The rising volume of information together will increase the likelihood of blundering non-public data privacy. Due to many new technologies and innovations that pervade our everyday lives, like smartphones and social networking apps, and the Internet of Things-based intelligent-world systems, the large amount of data generated in our world has exploded. During this data processing, storage, and the use of the information it can quickly cause personal information exposure and the difficulty of interpreting the information. The aim is to incorporate this range of information into one framework for big data management and to recognize problems regarding privacy. This paper begins with the introduction of bigdata, its process, protection issues, and tools which are used to solve its problems
Zhong Yong and moderation of Chinese Muslims in Indonesia
Authors: Et. al. Wahidah Zein Br Siregar,
Published: April 2021

Chinese Muslims are a minority among Indonesian Muslims and are categorized as moderate Muslims. This research aims to identify the factors which contribute to moderation in this community. Using qualitative analysis, this research found that the classic Chinese philosophy, Confucianism, plays a big role. The concept of Zhong Yong in Confucianism is used by Chinese Muslims in Indonesia as their life philosophy even though many do not really know what it is. Research informants admit that even though they are Muslims, Confucianism is practiced and is well developed in their everyday lives.  This is a concept of balance in life and they practice a moderate life in the Indonesian community in three ways: first, by balancing culture and religion through building mosques that are unique to Indonesia. These mosques, which are called Muhammad Cheng Hoo, use Chinese ornamentation. Second, trying to be innovative in the way they present Islam, so that Islamic teaching will be easily understood. Third, taking the middle ground to overcome any conflicts that may happen. Other aspects that are also important in order to understand Indonesian Chinese Muslims are family tradition and their interactions with Indonesians.
Social Capital in Poverty Reduction: A Systematic Literature Review
Authors: Et. al. Adi Syahid M.A,
Published: April 2021

Poverty reduction is a global issue and it is often associated with economic-based solutions. While most of the times, poverty solution is discussed through economic variables, more recent studies nowadays have started to suggest social capital as the alternative solution to poverty reduction. The present article sets out to analyse the existing literature on social capital and how it can affect poverty level of a household. PRISMA Statement (Preferred Reporting Items for Systematic reviews and Meta-Analyses) as a review method, a systematic review was done on 10 databases where it had identified 472 relevant studies. Through the review, social capital was commonly measured by several themes known as social participation, social cohesion, social network, trust and reciprocity, meanwhile poverty was measured by such livelihood status, poverty line, household income, household welfare and other poverty levels that rely on income and consumption comparison. The findings in this review support the general conclusion that social capital is statistically significant in reducing the poverty of households.  More qualitative studies are recommended to be conducted due to several recommendations which are to have specific and a standard systematic review method for guide research synthesis in context social capital with poverty reduction. Other than that complementary searching techniques such as citation tracking, reference searching, snowballing and contacting experts are needed.
Usability Study on Healthy Food Restaurant Finder
Authors: Et.al Lau Pei Shin
Published: April 2021

Good nutrition is an important part of leading a healthy lifestyle. However, it is not easy to maintain a well-balanced diet every day especially when we are eating in a restaurant. Besides, people nowadays have low awareness about the food ingredients and it is not easy to measure the nutrition when people are preparing their own food or having meal outside. In addition, application such as Foodpanda, GrabFood and Facebook only recommend users about the best restaurant but do not includeinformation about healthy eating. Therefore, the purposeof this project namely Healthy Eat Out application, is to help people to find the nearby healthy food. The app is developed using Android Studio via prototyping methodology to achieve user’s requirements. This application is able to give information about food ingredients to users including how much calories the foodcontain. This can help to extend the knowledge of user about healthy food and create awareness of people when choosing eating outside.
Investigating the Use of Eye Fixation Data for Emotion Classification in VR
Authors: Et.al Lim Jia Zheng
Published: April 2021

Eye-tracking technology has become popular recently and widely used in research on emotion recognition since its usability. In this paper, we presented a preliminary investigation on a novelty approach for detecting emotions using eye-tracking data in virtual reality (VR) to classify 4-quadrant of emotions according to russell’scircumplex model of affects. A presentation of 3600 videos is used as the experiment stimuli to evoke the emotions of the user in VR. An add-on eye-tracker within the VR headset is used for the recording and collecting device of eye-tracking data. Fixation data is extracted and chosen as the eye feature used in this investigation. The machine learning classifier is support vector machine (SVM) with radial basis function (RBF) kernel. The best classification accuracy achieved is 69.23%. The findings showed that emotion classification using fixation data has promising results in the prediction accuracy from a four-class random classification.
Dr Miner: An Application of Auto Detecting Diabetic Retinopathy using Auto Colour Correlogramand Bagging
Authors: Et.al Chew-Wai Yap
Published: April 2021

An application of auto-detecting Diabetic Retinopathy (DR) is indispensable to aid the ophthalmologists in diagnosing patients and also to help relevant organisations in accumulating and analysing data. This project presents DR Miner, an application that can extract data from fundus images, identify the symptoms of DR in retina images by using data science approaches, and collect the ophthalmologist’s review to improve the detection model in the future. To form the DR data set with binary classes, Auto Colour Correlogram (ACC) was utilised to extract the features from DR images. Over-sampling was then conducted to balance the class distribution in the data set. To reduce the variance of the single learning algorithms, we evaluated various bagging approaches. Theresults showed that the bagging approaches gave better results than the single learning algorithms in general. Out of all bagging approaches we evaluated, bagged k-nearest neighbours gave the best result. The sensitivity achieved was 85.1%, which met the requirement set by the UK National Institute for Clinical Excellence.
IoTContact: A Strategy for Predicting Contagious IoT Nodes in Mitigating Ransomware Attacks
Authors: Et.al MohammedIbrahim
Published: April 2021

Although the emergence of the Internet of Things (IoT) can facilitate various aspects of people’s lives, most IoT devices are vulnerable to ransomware attacks. Ransomware attacks in IoT networks can be more devastating due to its capability of affecting billions of interconnected devices. Ransomware can take control of compromised devices or an overall system and allow limited access to user interaction with IoT devices. Hence, there is a need for a strategy that can mitigate and predicts affected IoT devices to conduct in-depth forensic analysis in the event of a ransomware attack. This paper critically analyzes ransomware in IoT platforms and proposes IoTContact.IoTContact can formulate the mathematical model based on the interaction of multihop IoT devices and its relationship with ransomware. Consequently, it is expected that IoTContact can predict and classify affected IoT nodes into susceptible, compromise and resistible from the huge number of connected devices in the event of ransomware attacks. Therefore, the scope and the size of the object of forensic interest can be foreseen in preparation of an investigation.
4IR and Right to Education in Nigeria: Synergybetween Legal Instruments and Stem Education
Authors: Abdulraheem-Mustapha Mariam Adepeju
Published: April 2021

Laws and policies have important roles to play in advancing the Fourth Industrial Revolution (4IR) through Science, Technology, Engineering and Mathematics (STEM) research in Nigeria. STEM education and knowledge brings about development by converging scholars across the world with recent research discoveries. In order for Nigeria to reap the maximum benefits from the 4IR, its legal system must come in line with the principles advanced by the 4IR. It is important to state that the laws which have been enacted before the contemporary era are inadequate and obsolete.

Education (STEM education inclusive) which will benefit the most from thenewrevolution would demand new legal instrumentsthat are adequate and effective to cater for the legal and policy demands of the 4IR by bringing forth a more current and inclusive legal protection for all the relevant beneficiaries. Using doctrinal methodology, thispaperexamines4IR and right to education in Nigeria with a view to establishing the relationship between the legal instruments and STEM education with the objective of advancing the agenda of the relevance of all fields of education for the next generation.The paper is divided into six sections and the findings show that, education (STEM education inclusive) is bedeviled with many challenges andthe extant laws are inadequate to solve them.Thus, making the goal of 4IR unachievable in Nigeria. To reach the greatest dexterities in all works of life, the paper concludes by bringing the significance of laws and policies that wouldaccommodate free STEM education in secondary and tertiary school levels in order to answer the call for 4IR. It recommends research collaboration across STEM fields for integrated curriculum and an amendment of the Constitution. It also advocates for gender equality and investing more in STEM education for having a transformative shift in Nigeria for the purpose of achieving 4IR.