bluuebunny/crossref_metadata_2025 huggingface dataset:
A Survey on Scheduling Based Mac Protocol for Congestion Minimization in Internet of Things (IoT)
Authors: Et. al. Abhijit Biswas,
Published: April 2021

Recently, in Internet era the most common technology ubiquitous to develop smart environment is Internet of things (IoT) and Wireless Sensor Networks (WSNs).These technologies deployed enormously to formulate wide applications in area of Smart homes, Industrial automation, and security destined applications and information trailing. The huge development in wireless technology is due to great exploration in MEMS concept and Embedded Systems. Huge evolution in this technique leads to access different Medium Access Control (MAC) protocol and this protocol used to access multiple nodes peculiarly in wireless channel. The projected MAC protocol designed to enhance network lifetime. Essentially, the network leads to lot of congestion due to non-availability of IoT equipment and less available resources for various environmental applications. The simulated performance ensures that the conventional algorithm limits their dynamic service quality for IoT based applications. The above setbacks motivate the researches to develop the survey in existing scheduling based MAC protocol by highlighting their parameters.
Enhancement of Transient Stability in a Grid-Connected Wind Power Plant Utilizing PI-FL Controller
Authors: Et. al. Dr. KamalaMoorthy N,
Published: April 2021

This paper proposed a blend of corresponding PIC and FLC for controlling the pitch angle of wind turbine connected to grid. Initially, conventional control methodology is employed to design the PI controller and later on, the concept of fuzzy logic methodology is adapted to analyze the gains of proportional integral controller. Due to versatility of fuzzy logic controller and rugged structure, sturdy nature of proportional integral controller are clubbed together, it provides a virtuous stagnant and dynamic outcomes. The proposed novel technique can be assessed by considering various disturbances such as short circuit network fault. The reenactment after effects of proposed controller is contrasted with proportional integral controller and FLC. From the findings it is shown that the proposed methodology could improve stability even the wind farm is subjected to different operating conditions. Moreover, a performance index in terms of absolute maximum deviations is defined in order to evaluate the adequacy of the proposed controller.
Storm water Management in Airport using Oil Water Separator System
Authors: Et. al. Velautham KD,
Published: April 2021

Oil contamination in the Storm water has been generally overlooked, even though it causes major environmental pollution and is a substantial threat to all the species in the ecosystem. Likewise, the treatment of oil-contaminated Storm water in public areas and general industries, especially in airports, has largely been ignored. Airports are known as one of the most potent oil contamination contributors through the jet fuel that pollutes the local waterways and Storm water. However, little information regarding the specific actions taken to treat the Storm water contaminated with jet fuel oil in airport facilities, is available.The objective of this paper is to discuss the Storm water management that using the oil-water separator system in airports contaminated with oil. Specifically, this paper highlights the contaminants of Storm water run-off from airports and the oil-water separator system in airports.The use of a corrugated plate interceptor (CPI) for Storm water management in airports was discussed.The success in treating Storm water largely depends on the improvement of infrastructure, the capturing of pollutants and nutrients from the Storm water flows, in addition to the use of wetlands to improve the ecology and water quality of streams and rivers. Incorporating an oil-water separator system into the Storm water treatment system in the airports setting is quite significant since the airport is known for its large and paved areas containing oil, grease or jet fuel.The treatment of the airports Storm water contaminated with oil, grease and jet fuel could significantly reduce the contamination for a cleaner environment. The CPI can be used to separate the oils from the water and then retains the oils safely until removal.
Efficient Healthcare Assisting Cloud Storage Strategy using Fog Prioritization Logic based on Edge Devices
Authors: Et. al. K.Makanyadevi,
Published: April 2021

In recent years there are many researchers conducted regarding with cloud storage benefits and its efficiency improvements, but all are raising a question regarding the effectiveness and privacy. The effectiveness of the cloud storage system purely depends on the storage capacity and responsiveness of the server, in which the size of the data is large automatically the responsiveness of the storage server goes down. To avoid this issue many researchers found a lots of solution such as multiple cloud server placements, the local cloud farm fixation and so on. But all are coming too struck with the privacy issues and the security threats are more in the case of such things. These issues need to be resolved with one powerful mechanism as well as providing a good storage mechanism without any security threats. In this paper, a healthcare application is taken into consideration and introduce a new fog based cloud storage system is designed such as Intelligent Fog based Cloud Strategy using Edge Devices (IFCSED), in which this Fog Computing process provides an efficient health data storage structure to the cloud server to maintain the high priority records without considering on regular or non-prioritized records. This proposed strategy follows Edge-based Fog assistance to identify the healthcare data priority utilizing analyzing the records, identify the priority level and classify those priority records from the data and pass that to the remote cloud server as well as keep the remaining non-prioritized records into the local fog server. The fog server data can be back up with every point of interval using data backup logics. These backup assures the data protection and the integrity on the storage medium as well as the proposed approach of IFCSED eliminates the processing delay by using time complexity estimations. The data which is coming from Internet of Things (IoT) based real-world health record will be acquired by using controllers and other related devices, which will be delivered to the Edge Devices for manipulation. In this Edge processing device accumulates the incoming health data and classifies that based on the prioritization logic. The health sensor data which is coming in regular interval with normal sensor values are considered to be the regular non-prioritized data and the health sensor data coming up with some abnormal contents such as mismatched heart rate, increased pressure level and so on are considered as a the prioritized record. The sensor assisted health data will low-priority will be moved to the fog server, which is locally maintained into the environment itself and the sensor assisted health data coming up with high priority will be moved into the remote cloud server. The proposed approach assures the time efficiency, reduction in data loss, data integrity and the storage efficiency, as well as these things, will be proved over the resulting sections with proper graphical results.
Review of Herbl Drugusagein India
Authors: Et. al. Pavani Mudem,
Published: April 2021

Herbal medicines which framed the premise of medical services all through the world since the most punctual long periods of humankind are still broadly utilized, and have extensive significance in worldwide exchange. Acknowledgment of their clinical, drug and financial worth is as yet developing, albeit this differs generally between nations. Medicinal plants are significant for pharmacological examination and medication improvement, not just when plant constituents are utilized straightforwardly as restorative specialists, yet in addition as beginning materials for the blend of drugs or as models for pharmacologically dynamic mixes. Guideline of abuse and exportation is thusly fundamental, along with global participation and coordination for their protection to guarantee their accessibility for what's to come.
A Comparative Analysis of Emotion and Sentiment Analysis Method from Twitter Text
Authors: Et. al. Dr. S. Lavanya,
Published: April 2021

The Study of Sentiment is an area of science that specializes in the analysis of strong emotions expressed in texts. An opinion is a complete perception of a commodity, service, association, individual or some other form of entity about which a given text is conveyed. This work provides valuable knowledge of the roots of sentiment analysis and how sentiment evaluators can be configured. We demonstrated how to construct a basic classifier and use it as an example. These approaches will eventually change and there will still be the need for a more extensive assessment of emotions. Non-textual material has an important significance in analyses. Photos, photographs, animations and other visual material are also useful in performing social research. Of course, I can see that all these hyperlinks provide essential material. Some other ways of using social media are likes, retweets, reviews on posts and much more! It is hoped that common issues such as avoiding irony and sarcasm would be made less ambiguous. However, there will emerge other issues that will have to be tackled.
Design and Analysis Of Underwater Imaging Application susing High Frequency Array
Authors: Et. al. Premsagar Konapally,
Published: April 2021

Underwater picture preparing has a few applications in the field of maritime exploration work and logical applications, for example, archaeology, geography, underwater ecological appraisal, laying of significant distance gas pipelines and correspondence joins across the mainlands which request geo-referential looking over of the maritime bed and prospection of complex task. The lowering of a camera underwater requires satisfactory lodging utilizing high frequency. The moving of the camera with the assistance from distant spot or face to face at the site is similarly a perplexing undertaking. In any case, the significant test is forced by underwater medium properties. Underwater dimness picture upgrade has acquired far and wide significance with the quick advancement of present day imaging gear. Notwithstanding, the difference upgrade of single underwater dim picture is a difficult errand for logical investigation and computational applications. Versatile differentiation upgrade calculations to determine the picture fluffiness was proposed to suit underwater pictures with shifting difference. Fuzzy edge held intensification strategy had the option to furnish better upgrade with very much protected edge data and improved differentiation in examination with the fuzzy enhancement technique. Acoustic imaging systems are likewise valuable for reviewing or inspecting objects when water turbidity blocks the utilization of closed circuit television or other optical methods for survey. Likewise, light is weakened with a horizontal distance of proliferation, decreasing the light energy arriving at the camera, accordingly bringing about a deficiency of the normal tone.
Performance Analysis Of A Grid-Connected Solar Photovoltaic Wind Hybrid Energy System
Authors: Et. al. Shabbier Ahmed Sydu ,
Published: April 2021

Electrical energy becomes necessary for human being. Generation of electrical energy mostly depends on fossils fuel, they are limited in nature and also responsible for environmental pollution. Renewable energy resources provides a better alternative for future. In comparison to conventional energy resources economical aspect is a major issue of renewable energy sources with the feasibility and efficiency. This paper investigates the performance analysis and control of Photovoltaic (PV)-wind hybrid system connected to electrical grid and feeds large plant with critical variable loads. The technique of extracting maximum power point is applied for the hybrid power system to capture maximum power under varying climatic conditions. Moreover, Control strategy for power flow is proposed to supply critical load demand of plant. The Dynamic performance of the proposed hybrid system is analyzed under different environmental conditions. The simulation results have proven the effectiveness of the proposed maximum power point tracking (MPPT) strategies in response to rapid variations of weather conditions during the day.
A Comparative Review on Object Detection System for Visually Impaired
Authors: Et. al. Dr K Sreenivasulu,
Published: April 2021

Vision is one of the key senses allowing citizens to communicate with the natural world. There are about two hundred million blind people globally and visually disabled people obstruct numerous everyday practices. It is also really critical that blind people recognize their world and realize with which items they communicate. This paper review all the method and tool related to camera-based device to enable the blind person interpret text patterns written on items kept in hand.  This is the system for helping individuals with visual disability interpret and translate text patterns to the audio output. The framework first suggests the approach to take an image from the camera and the area of the target to retrieve the object from the context and derive a text pattern from that object. Diffrent algorithm is assessed in various scenes. The observed text is linked to the blueprint and translated into the performance of the voice. Localized and binarized text patterns utilising Optical Character Recognition (OCR). The text is translated to an audio output. The voice quality is given to theblind person.
Low Power Circuit Design for Footed Quasi Resistance Scheme In 45NM VLSI Technology
Authors: Et. al. Telugu Satyanarayana ,
Published: April 2021

Low power has arisen as a chief topic in these days and hardware enterprises. Power dissipation has become a significant thought as execution and zone of VLSI Chip plan. In this paper, a design of low power for footed quasi resistance scheme in 45nanometer VLSI technology, using appropriate standard digital gates with 45nm technology, considering footed quasi resistance technique for nanoscales is introduced. Transition of logic 1 and 0 is the main problem in the cascading circuits, this problem can solved by employing a basic inverter called as Domino logic at output.Due to the precharge propagation the power dissipation is observed in domino logic, this will be resolved using PDB (Pseudo Dynamic Buffer) model. With the help of PDB nearly 67% of power saved. Even though PDB is succeeded in precharge propagation, it fails in logic transition, this may results erroneous output during cascading. With contracting technology, power utilization can decreased and over all power of the executives on chip are the critical difficulties below 100nm because of expanded intricacy. In this paper execution of low power circuit scheme for footed quasi resistance plot in 45nm VLSI technology. In this paper we will actualize and recreate low power circuit scheme for footed quasi resistance plot in 45nm VLSI technology.
Performance Analysis of Red Chilli in a Hybrid Collector with Solar Dryer
Authors: Et. al. E Murali,
Published: April 2021

This article performed various analysis on Red chilli by hybrid collector with solar dryer (HCSD). This study was carried out forced convection solar dryer which performed better in all aspects such as drying time, moisture removal rate, electrical efficiency, electrical thermal efficiency, thermal efficiency and overall thermal efficiency. In general, solar radiation was provided a sources of generating energy to drive a solar dryer. Hybrid collector has been provided the electrical and thermal energy to run a solar dryer. The solar dryer was tested by drying 12 kg of red chilli in the drying air temperature in the range of 32 0C – 56 0C. The initial moisture content of the red chilli was 71.5 % (weight basis) and was reduced to the final moisture content of 16.2 % (weight basis) in 6 consistent days with clear sunny days. The HCSD was operated between 9 hrs to 16 hrs. Finally, comparative study was also handled for better understanding in HCSD, in which solar dryer drying made better outcome than open sun drying.
Shear Walls Induced RC Structures
Authors: Et. al. Kesava Rao B,
Published: April 2021

In recent years, the construction of skyscrapers has been on the rise to overcome the shortage of land. These buildings are subject to an external lateral force, such as an earthquake and wind pressure. Pushover analysis (POA) has been broadly used in predicting the earthquake response of structures, and shear walls have been shown to be lateral drag elements. Therefore, in the present work, the effect of placing a shear wall on the periphery symmetrically, the periphery asymmetrically and in the center of the building is performed using the ETABS software. Using the response spectrum methodand thetime history method, a dynamic analysis is performed. Responses such as floor shear, floor displacement, and lateral floor shifts due to seismic forces are evaluated for various locations of the shear wall. According to the results and analysis, the shear wall on the symmetrical periphery of the structure is reducing the displacement and deviation of the floor compared to other cases.
Investigations on Improving the Compressive Strength of Sand Column with Cement Grout and Chemical Admixture
Authors: Et. al. M. Samuel Thanaraj,
Published: April 2021

Grouting is one of the most commonly adopted technique for soil improvement and strengthening. Adding super plasticizers, accelerators, antifreezes, air entraining agent improves the performance of the cement grout. The performance of the grout while injecting in the sand column mainly depends on its fluidity property.  Keeping it in mind about the water cement ratio, the strength of the sand column is studied in two sets of experiments one by sand column with cement grout only and another set by sand column with cement grout added with super plasticizers by varying the water cement ratios. Strength parameters like angle of internal friction and cohesion were obtained be direct shear test and unconfined compressive strength test on the specimens by varying the water content. An increase of 15.2kPa to 60.33 kPa was observed in the cohesion value for specimens with 10% water content and 13.8 kpa to 47.2kPa cohesion value observed in the specimens with 20% water content. The angle of internal friction was decreased from 360 to 160 for 10% water content whereas 300 to 100 for 20% water content.  A series of experiments were conducted on the sand column grouted with cement and for different water cement ratios as 1.5, 2.0 and 2.5. Another set of experiments were repeated by adding 2%super plasticizer Sulphonated Melamine Formaldehyde (SMF). The experiment results revealed that at lower water cement ratio higher value of compressive strength was observed. It was also observed that the strength increases with curing period.
Identification of Cardio Diseases in Modern Healthcare using Machine Learning Classification
Authors: Et. al. P.Priya
Published: April 2021

The health region produces a massive quantity of facts. This statistics is not always made use to the full quantity and is frequently underutilized the usage of this big quantity of statistics, a ailment can be detected, predicated or maybe cured. A large hazard to human type is caused by sicknesses like heart disease, most cancers, tumour, and Alzheimer’s disease prediction. Using machine getting to know strategies, the coronary heart ailment may be expected. Clinical data which includes blood strain, hypertension, diabetes, the quantity of each day cigarettes smoked, and so forth. Are used as input, so these traits are modeled to expect. This model can then be used to are expecting future clinical statistics. The algorithms like Decision Tree , k – Nearest Neighbor and Support Vector Machine are used. The accuracy of the model the use of every of the algorithm is calculated. Then the only with the good accuracy is taken because the version for predicting the coronary heart diseases.
A frame work for the detection and Diagnosis of Lung Tumors using Deep learning Methods
Authors: Et. al. P.Jagadeesh ,
Published: April 2021

The detection of tumor pixels in lung images is complex task due to its low contrast property. Hence, this paper uses deep learning architectures for both the detection and diagnosis of lung tumors in Computer Tomography (CT) images. In this article, the tumors are detected in lung CT images using Convolutional Neural Networks (CNN) architecture with the help of data augmentation methods. This proposed CNN architecture classifies the lung images into two categories as tumor images and normal images. Then, the segmentation method is used to segment the tumor pixels in the lung CT images and the segmented tumor regions are classified into either mild or severe using proposed CNN architecture.
Study of Circular Distance in Graphs
Authors: Et. al. Peruri Lakshmi Narayana Varma ,
Published: April 2021

Circular distance between vertices of a graph has a significant role, which is defined as summation of detour distance and geodesic distance. Attention is paid, this is metric on the set of all vertices of graph  and it plays an important role in graph theory. Some bounds have been carried out for circular distance in terms of pendent vertices of graph  . Some results and properties have been found for circular distance for some classes of graphs and applied this distance to Cartesian product of graphs〖  P〗_2×C_n.  Including 〖 P〗_2×C_n, some graphs acted as a circular self-centered. Using this circular distance there exists some relations between various radii and diameters in path graphs. The possible applications were briefly discussed.
Effectiveness of E-Content Module in Learning Set Language among Ninth Standard Students-Solomon Four Group Method of the Experimental Study
Authors: Et. al. Prabakaran B,
Published: April 2021

Pedagogical methods are one of the Mathematics e-content modules of learning. The research question was raised what teaching method is more effective, whether the e-content module of learning or traditional teaching? Solomon four-group design of the experiment was managed. A convenient sampling technique is selected. Experiments are conducted in school students with 80 samples. Academic achievement test in the Mathematics unit ‘Set Language’ was used as a tool in the study. Bartlett’s Homogeneity of Variance Test, ANOVA, and LSD post-hoc tests are used for interpretation of data. The major finding explored was that the e-content module of learning positively influenced student achievement in mathematics when compared with the chalk and talk method of teaching. A recommendation of the result was a modern pedagogical method such as an e-content module of learning which is used by the teachers in the classroom as well as the students’ home for drills and practices.
Banking Sustainability for Economic Growth and Socio-Economic Development – Case in Vietnam
Authors: Et. al. Dinh Tran Ngoc Huy ,
Published: April 2021

In the context China-US commerce war and Covid 19 and Industry 4.0, wht happens to banking sustainability in emerging markets such as Vietnam?

By using both quantitative analysis with statistics, charts and comparison, combined with qualitative analysis with synthesis, inductive and explanatory methods, research results show us that June is the month banks experience highest or lowest values of market risks, and during pre low inflation time , more beta values (max, mean, median) are equal to 1 or lower than 1. Whereas during post low inflation stage, several more beta values (max, mean, median) higher than 1.

Then, Main findings could be used for socio-economic policy implications in Vietnam. And research model can be applied for other countries, esp. Emerging markets
Threat and Intruder Models of Multi-agent Robotic System Using Police Office Model with Quantum Encryption*
Authors: Et. al. Zakoldaev D. A.,
Published: April 2021

The subject of this study is to ensure the confidentiality of information in mobile robotic systems. To ensure the confidentiality of information, it is proposed to use quantum encryption methods. Existing developments in this area allow to ensure the correct generation of quantum keys between two elements. The paper considers the functioning of the multi-agent robotic system based on the Police Office Model, the general scheme of functioning and basic processes of information interaction are given. The authors consider the issue of the protection of the multi-agent robotic system by using quantum keys from various threats, offering a classification of threats. Based on the model of the multi-agent robotic system, an intruder model is proposed that includes the level of access of the intruder to the system and the period of interaction of the intruder on the system, based on the life-cycle model. As a result of the research, a model of generalized functioning of a mobile robotic system with encryption based on quantum keys, a threat model and an intruder model was proposed.
A Simulational Performance of 5G MIMO Systems applying UFMC( Universal Filtered Multicarrier) Study
Authors: Et. al. Preesat Biswas,
Published: April 2021

The advanced wireless communication system uses the new technology, preparing the limited radio spectrum and its low expensive resource. The Scenario of Wireless communication is needed for the flexible mechanism with available time and frequency resources.  The OFDM system, which is a multicarrier process with a remote framework in Long Term Evolution (LTE), 4G, and 5G.  Using of UFMC(Universal_Filtered_Multicarrier)system with OFDM system symmetrical recurrence division multiply with modulation system and the correlation between them.  Using of UFMC system with QAM into the MIMO system the result of subchannel, the model channel correlation recreated in “ A Simulational Performance of 5G MIMO Systems applying UFMC (Universal_Filtered_Multicarrier ) Study” result shown in MATLAB.
Multipath Reliable Routing Using Cluster Based Communication
Authors: Et. al. Dr. Shanti Rathore,
Published: April 2021

In this research we proposed the protection in ANT Optimized primarily based multipath congestion routing performance.  Here the situation of DDoS is simulated and examines their impact in dynamic network. The multipath protocol like AOMDV is balance the all load by way of offering alternative path however not knowledgeable at each and every condition. The DDoS attacker is blocking off the whole viable direction in community by way of flooding large quantity of redundant packets in dynamic network. The attacker is that the intermediate node and this attacker contamination is continuously dispersing infection and the entire network overall performance is dumped. The proposed security scheme is identified attacker and their loss effect.  Attacker is utterly disabled by way of proposed protection mechanism and their loss is also evaluated. The proposed approach is now not only detecting but also stop community from DDoS attack. The overall performance of protection scheme and assault is measured in three distinctive scenarios of a range of node densities.  The proposed scheme is offers attacker free routing and get better network performance after making use of it. The performance of ANT OPTIMIZED is almost equal. The packets receiving, throughput, and PDR are bettering but the loss of packets and unnecessary flooding is decreased in dynamic network.
A Benchmarking application on Workload and Performance forecasting of micro services
Authors: Et. al. R. Divya Mounika,
Published: April 2021

Micro services are increasingly understood as the ideal architectural framework for building large cloud applications within and beyond organizational boundaries. These micro services architectures scale up the application, but are expensive to work on, so pay attention to workflow planning and workflow planning. However, this issue is not very clear. In this work, we are developing independent micro services workflows suitable for modeling and prediction methods and designing three-step game models for   based applications. Solved the problem of designing micro services based applications to reduce end-to-end delays under user-specific limitations (MAWS-BC) and recommended micro services routing algorithms. The design process and estimation methods are improved and adequate. The experimental results produced by a well-known micro service bank cover a wide variety of statistical analyzes and the production utility of graphic design is shown by a large comparison copy compared to current algorithms.
Using Blockchain in University Management Systems
Authors: Et. al. Sura I. Mohammed Ali,
Published: April 2021

lockchain stores a series of transactions in form of a sequence of linked blocks. Hence, the concept of ledger is easily maintained. Transactions and interactions that take place among participants accessing the distributed and decentralized blockchain network are holding through ledger. In a student management system (SMS), vital information can be highly shared and well protected at the same time. This paper proposes a model for using blockchains to implement fully functional SMS that maintains students’ records, course registrations record and student marks.   The proposed model adds more security via the use of hashing and data readily available with decentralized data storage. In addition, the use of ledger-based system to maintain SMS data introduces reliable and highly trusted model.
Cluster Optimization for Boundary Points using Distributive Progressive Feature Selection Algorithm
Authors: Et. al. Ch. Raja Ramesh,
Published: April 2021

A group of different data objects is classified as similar objects is known as clusters. It is the process of finding homogeneous data items like patterns, documents etc. and then group the homogenous data items togetherothers groupsmay have dissimilar data items. Most of the clustering methods are either crisp or fuzzy and moreover member allocation to the respective clusters is strictly based on similarity measures and membership functions.Both of the methods have limitations in terms of membership. One strictly decides a sample must belong to single cluster and other anyway fuzzy i.e probability. Finally, Quality and Purity like measure are applied to understand how well clusters are created. But there is a grey area in between i.e. ‘Boundary Points’ and ‘Moderately Far’ points from the cluster centre. We considered the cluster quality [18], processing time and relevant features identification as basis for our problem statement and implemented Zone based clustering by using map reducer concept. I have implemented the process to find far points from different clusters and generate a new cluster, repeat the above process until cluster quantity is stabilized. By using this processwe can improve the cluster quality and processing time also.
Exploration of Academic dishonesty amongHigher Education Students Build by Gender Analysis
Authors: Et. al. Mr. Muthukamatchi M,
Published: April 2021

In an academic institution, the plagiarism is a major part and important issue among the Graduate students. Plagiarism can be a serious crime and danger afflicting publication of research work worldwide. Similarly, Academic integrity (AI) contraventions of plagiarism also increased nowadays among the students, research scholars and academicians. Due to this reason, this study aims to concentrate to relate Academic Integrity related to plagiarism and the seriousness of these issues. The proposed study reveals about the quantitative and qualitative analysis of Academic Integrity and Plagiarism among the Post Graduate student from various Deemed Universities of Chennai City. This study provides the review on AI and Plagiarism based on the category of gender. It is hoped that the outcomes of this analysis may be wont to perceive the problems of educational dishonesty and the ways of development in Plagiarism developed which supports the scholars so as to scale back its occurrences.
A Comprehensive Review of Smart Glasses Technology- Future of Eyewear
Authors: Et. al. Aman,
Published: April 2021

This paper breaks down the technology behind smart glasses along with the advancement in this emerging field keeping in mind the hardware, software and research work which major companies have put in to develop a real-life model. This paper also comprises an analysis on the experience of users with different glasses. We have also talked about the new benchmarks which this technology has set in sectors such as medicine, gaming, corporate, sports, entertainment and many others.
The Impact of Corona-Virus Pandemic Effected the Air Pollution in India
Authors: Et. al. Shubham Chugh,
Published: April 2021

: In a country like India, where the major decease are been caused because of the Air pollution, which has affected around 4 million lives because of this pollution only, the cause of the rise in Air pollution is not only from the factories but also the vehicles which use to run on the streets as corona-virus can stay in the air for around 30 minutes, which can cause problems to millions of lives moving on the street, mostly the poor. In India air pollution has rated to almost least in the past 20 years which has contributed to the break from spreading.In India, Delhi and other most populated states stated a drastic downfall in Air pollution with about 60 percent decline in air pollution of PM - 2.5 particularly known as “fine particulate matters” in Delhi when compared with 2019 while the pollution control in other countries couldn’t see much change and which has also seen a rise in corona-virus cases.In this paper we have analyzed the impact of rising in the number of the corona-virus cases concerning the most polluted cities to state the actual scenario that is air pollution leads to a rise in a pandemic situation. This paper is primarily based on secondary sources of data collection including the state-wise downfall in the level of air pollution, impact on the environment from the deadly disease i.e. Corona-virus, prospects, impact on the health of the individual
The Impact of Multimodal Discourse on Iraqi EFL Learners' Writing Skills
Authors: Et. al. Mohammad Kiani Harchegani,
Published: April 2021

The present study was conducted to investigate the impact of multimodal discourse on Iraqi EFL learners' writing skills. To achieve the goal, a group including 40 Iraqi EFL learners participated in the free paragraph writing course based on their scores in a Placement Test.  Selected participants were randomly assigned to control (N=20) and experimental (N=20) groups. Prior to the start of the course, both groups were given the pretest (writing test). The experimental group was exposed to the treatment (multimodal use of discourse, e.g. video and picture based on Halliday’s social semiotics approach) and the control one did not receive any treatment. Having accomplished the experiment, participants of the two groups completed two writing tasks as the posttest. Results of t-test indicate significant outperformance of the experimental group over the control one
Multimodal Discourse Analysis for teaching English as a Second Language
Authors: Et. al. Kawa Abdul–Kareem Sherwani,
Published: April 2021

New technological developments have boosted the use of different modes or semiotic resources; social changes and developments, on the other hand, have changed the process of meaning making because discourse shapes and is shaped by social practices. Semiotic resources are used in communication (language, sound, gestures, facial expressions … etc) and this has impact and reflections on the methods of teaching. Literacy is not only about reading and writing, it rather means the ability to communicate through multiple modes. Hence, it is important to embed multimodality (the study of using multiple modes) in educational settings
Minorities in Iraqi Constitution: A Critical Analysis of the Legal Discourse
Authors: Et. al. Kawa Abdulkareem Sherwani,
Published: April 2021

Between 1979 and 2003, when Baath party was in power in Iraq, minorities were neglected and were not part of the decision-making process. It was the priority of the new government that other components of Iraq where part of the process. The draft of the constitution of2005, in a number of provisions, do mention all the Iraqi components. However, no law has been passed to protect the rights of minorities and there is lack of appropriate mechanism to bring perpetrators to justice once violations have been committed against them. The data is taken from the English version of the Iraqi Constitution. The principles of critical discourse analysis areused as method to deconstruct the legal language of the constitution. This research undertakes a critical analysis of the legal discourseof the Iraqi Constitution and examines the provision of the constitution to highlight whether minorities in Iraq are protected under the constitution and whether the legal language of the constitutionis drafted in a way that is not vague or ambiguous to guarantee that protection. It is an attempt to investigate the legal language of Iraqi Constitution critically. The study concludes that the constitution was written in a way that may allow different interpretations, that is why it is difficult to be implemented with the available mechanisms. The study recommends that the constitution should be amended in a way that is inclusive of all minorities in Iraq and the provisions represent the quality between and among all the Iraqi components
Information Broadcasting Concerning Publicity and Public Participation in Development Plan
Authors: Et. al. Norizan Rameli,
Published: April 2021

Malaysian Law stipulates the public society should be involved in development planning to assure thorough and comprehensive planning is made to fulfill the needs and aspirations of the society coming from multiracial and ethnicities. However, their knowledge about public participation in development planning is still in question. The participation is in fact a great opportunity for the society to play a part in shaping and influencing the objective and direction of future developments. Public participation is required in every stages of development planning such as Local Plan to ensure effectiveness of the planning system. Therefore it is crucial for the information concerning the publicity and public participation to reach targetted group through accessible broadcasting method that matched with present-day. This paper reviews their knowledge towards public participation programs. This quantitative study also discovers respondents' views on the method of information broadcasting through social media. The result shows their knowledge about public participation in planning process is considerately very low. Additionally, the study discovers that social media is highly influential among respondents where it should be used to increase public participation in development planning.
Development of Nation State of Malaysia Based on Mahathir Mohamad’s Leadership Model Framework
Authors: Et. al. Khairul Azman Mohamad Suhaimy,
Published: April 2021

Each Prime Minister has his or her own leadership and achievements while leading the development of the nation-state. Mahathir Mohamad's leadership and achievements in driving Malaysia's modernization are well known because the effort has succeeded in benefiting Malaysians so that he can be appointed as the Father of Malaysian Modernization. The effectiveness of his leadership can be assessed based on the achievements that have been successfully achieved by the country through the implementation of actions and policies that he led throughout leading the country. Therefore, this article aims to discuss the elements of Mahathir's leadership by tracing his leadership when implementing actions and policies to modernize Malaysia so that it can achieve a proud achievement in the context of the development of the Malaysian nation. This study uses the method of document analysis by analyzing the text of Mahathir's speech as the main source and applying thematic analysis as an analysis approach. The text of the speech was analyzed thematically to identify the themes that exist and refer to the elements of leadership applied by him throughout the implementation of actions and policies to modernize the country. The results of the analysis show that there are 11 elements of leadership practiced by Mahathir such as injecting intellectual, injecting motivation, practicing good values in governing, valuing togetherness, exhibiting ideal influence, organized in leadership, assertive in leading, far-sighted, considerate of each individual, appreciating the contribution of the people, and confident in the ability to lead. Indirectly, the results of the analysis reflect that a country can achieve a proud achievement in the process of modernization if the country's leaders practice certain elements of leadership. The implications of this study, first, reflect the importance of a leader's leadership evaluation based on the achievements that have been achieved because it can identify a set of leadership elements practiced by the leader. Second, it reflects the importance of the role of leaders in determining and shaping the definition of nation-state development that should be highlighted in a country. The contribution of this study is to introduce a leadership model framework based on Mahathir's achievements throughout his administration of the Malaysian nation. In addition, it gives an overview of the elements of his leadership as a successful national leader. This leadership model framework is also suitable to be applied by leaders or related parties involved or interested in leadership-related discussions.
Paraphrasing Chinese Idioms: Paraphrase Acquisition, Rewording and Scoring
Authors: Et.al Jia Jun, Dong
Published: April 2021

Paraphrasing is a process to restate the meaning of a text or a passage using different words in the same language to give a clearer understanding of the original sentence to the readers. Paraphrasing is important in many natural language processing tasks such as plagiarism detection, information retrieval, and machine translation. In this article, we describe our work in paraphrasing Chinese idioms by using the definitions from dictionaries. The definitions of the idioms will be reworded and then scored to find the best paraphrase candidates to be used for the given context. With the proposed approach to paraphrase Chinse idioms in sentences, the BLEU was 75.69%, compared to the baseline approach that was 66.34%.
Laboratory Instruments’ Produced Scientific Data Standardization through the Use of Metadata
Authors: Et.al Nur Adila Azram
Published: April 2021

The progression of scientific data from various laboratory instruments is increasing these days. As different laboratory instruments hold different structures and formats of data, it became a concern in the management and analysis of data because of the heterogeneity of data structure and format. This paper offered a metadata structure to standardize the laboratory instruments' -produced scientific data to attain a standard structure and format. This paper contains explanation regarding the methodology and the use of proposed metadata structure, before summarizing the implementation and its related result analysis. The proposed metadata structure extraction shows promising results based on conducted evaluation and validation.
Kelantan and Sarawak Malay Dialects: Parallel Dialect Text Collection and Alignment Using Hybrid Distance-Statistical-Based Phrase Alignment Algorithm
Authors: Et.al Khaw, Jasmina Yen Min
Published: April 2021

Parallel texts corpora are essential resources especially in translation and multilingual information retrieval. However, the publicly available parallel text corpora are limited to certain types and domains.  Besides, Malay dialects are not standardized in term of writing. The existing alignment algorithms that is used to analayze the writing will require a large training data to obtain a good result. The paper describes our methodology in acquiring a parallel text corpus of Standard Malay and Malay dialects, particularly Kelantan Malay and Sarawak Malay. Second, we propose a hybrid of distance-based and statistical-based alignment algorithm to align words and phrases of the parallel text. The proposed approach has a better precision and recall than the state-of-the-art GIZA++. In the paper, the alignment obtained were also compared to find out the lexical similarities and differences between SM and the two dialects.
Towards Integrating Six Sigma Approach: Service Level Agreement Measurement and Monitoring (A Malaysian It Outsourcing Case Study)
Authors: Et.al Whee Yen Wong
Published: April 2021

Service Level Agreements (SLAs) are critical for outsourcing and technological related vendors companies. SLAsare the key requirements for outsourcing implementation and deployment as well as are the key differentiator in the service provider’s offerings industry. Over time, SLAs drive behaviors delivering a minimum level of service to the provider resultant in limited room in innovation and improvement in SLA arrangement and SLA contract renewal. As such, outsourcing companies may deem become a commodity, lacking strategic, innovative and value-added partner to the business. In long run, outsourcing companies face challenges with rapidly changing business requirements that drives business agility to stay competitive. The paper attempts to investigate a vendor IT Service Company accountable for continuous measurement and reporting of SLA activities where agreed-on service levels face challenges. This paper aims to evaluate the practical applicability of Six Sigma approach (i.e. DMAIC (Define, Measure, Analyze, Improve and Control)) as a result of root-cause-analysis; where everyone working on the problem(s) stays focus, drive towards a root cause analysis and eventually address the problem directly. The result of this case study revealed how Six Sigma approach has successfully improve the SLA achievements by identifying the significant factors contributing remedies or penalties towards SLA measurements.
Design and Evaluation of User Interface Design of Mobile Heart Monitoring Application
Authors: Et.al Muhammad Sobri
Published: April 2021

Many mobile health applicationsincluding mobile heart monitoring applications are available on Apple App Store, and Google Play Store. However, when the user feels dissatisfied with the user interface design of the mobile heart monitoring application, it impacts user satisfaction level to the extent that the users do not use it anymore. User satisfaction level isa very important factor in usability to identify a mobile heart monitoring application whichis pleasant and comfortable forcontinuous use. This study recruited four cardiologists in a hospital in Palembang, Indonesia for evaluatingtheuser interface design ofa mobile heart monitoring prototype called HeartM. The prototype has several  features including measuringpatient’s heart rate and blood pressurerate, treatment record, forum, and chat to ease communication between heart patients and their cardiologist. The focus of the user interface design evaluation are oncontent, visual and navigation aspects.This paper contributes to user interface design knowledge and design recommendations particularly for mobile heart monitoring applications.