bluuebunny/crossref_metadata_2025 huggingface dataset:
Parametric Optimization of Medical Plastic Wastes Conversion into Transportation Fuel using Mamdani Fuzzy Inference Systems (FIS)
Authors:   Research Scholar, Department of Mechanical Engg, VSSUT Burla, Odisha., Das Amar Kumar , Rout Saroj Kumar ,   Department of CSE, GIFT, Bhubaneswar, Odisha., Hansdah Dulari ,   Department of Mechanical Engg, NIT Jamshedpur, India., Panda *Achyut Kumar ,   Department of Chemistry, Veer Surendra Sai University of Technology Burla, Odisha, India
Published: April 2020

Rapid growth of medical plastic wastes required attention for its scientific disposal along with conversion into value added products. Pyrolysis method is found suitable process for such conversion of such wastes into liquid oil. The experiment was carried out with the medical plastic wastes collected from local medicals and treated in a batch reactor taking appropriate range of temperature change and use of Calcium bentonite (CB) and Zeolite-A (ZA) as catalysts. The yield of liquid oil, gas and char produced from the process are collected in scale. The yield of liquid fuel in this process was influenced by factors such as temperature, catalyst concentration and acidity of catalyst. It was observed that yield of liquid fuel in this process were significantly dependent on temperature, nature of catalyst and catalyst concentration. The maximum yield of oil reported at 500 C and even increased by adding 20% by weight of CB as catalyst and 10% by weight of Z-A. In this study, Mamdani Fuzzy inference System (FIS) is used in order to measure the performance of the process and can be analyzed with more objectives, oriented through mathematical modelling and simulation. Mamdani Fuzzy inference was also introduced to identify the significant factors affecting the response and helps to determine the best possible factor level of combination. Finally, a regression model for liquid fuel from catalytic degradation of medical plastic wastes has been developed and mapped as a function of process parameters.
Design Aspects of Standalone PV System with Two Simulation Tools
Authors:   EEE department/Asso.Professor/Mailam Engg college, Tamil Nadu, India.., viji* A. Jeraldine , Kumar R.Rajendra ,   EEE department/Asst.Professor/Mailam Engg college,Tamil Nadu,India, kumar G.G.Muthu ,   EEE department/Asst.Professor/ Mailam Engg college, Tamil Nadu, India.., Nakkeeran R. ,   EEE department/Asst.Professor/Mailam Engg college,Tamil Nadu,India..
Published: April 2020

The conventional energy sources depleted day by date. Alternate energy requirement is necessitate for our daily life. Our energy demand is met by standalone PV based system. This paper explained the simulation of a standalone photovoltaic power system erected in Mailam with different simulation tools. Solar resources for the design of this system were taken from the National Aeronautics and Space Administration (NASA) Surface Meteorology at a location of 22° 59' S, 14° 29' E with annual average solar radiation of 5.14 kWh/m2/d. PV planner and PV syst simulation tools were used to analyze the design of photovoltaic power system model. The entire model was designed based on an hour-by-hour data depend on energy availability and its demands. A detailed design of standalone PV system with two different simulation tools were presented in this paper.
Evolutionary Algorithm Technique to Optimize Configurational Cost in Reconfigurable Manufacturing System
Authors:   Research Scholar, VTU Research Resource Centre, Belagavi, Karnataka, India., G* Suresh Babu , Chikkanna Dr. N. ,   Professor, Department of Aerospace propulsion technology, VTU VIAT, Muddenahalli, Chickballapur, Karnataka, India.
Published: April 2020

In past few decades, manufacturing industry has been trying to achieve the high quality customized products in the flexible batches. Moreover due to the dynamic demand of market, the product lifecycle and flexibility is one of the major concern and Reconfiguration Manufacturing System is one of the discovery that matches these criteria such as flexibility, reliability and others, the main advantage of RMS is its adoptability to cope up with change in software and hardware configuration for adjusting the promptly. Hence in this paper we have proposed a optimized RMS , the main objective is to reduce the cost of the configuration through task scheduling, we propose Evolutionary algorithm based approach for configuration, moreover here we find the optimal solution through utilizing the machine over the operation set for each machine part, later we find the optimal from the probable assignment. In order to evaluate the algorithm we have performed the case study, a case study shows that Evolutionary algorithm based approach achieves the optimum solution when compared to the existing.
Characteristics and Performance of Microstrip Patch antenna for C Band and X Band
Authors:   PhD Scholar, Department of Electronics & Communication, SRK University Bhopal, Madhya Pradesh, India., Kaur Sarabjeet , Chaurasia Dr. Bharti ,   Associate Professor, Department of Electronics & Communication, SRK University Bhopal, Madhya Pradesh, India.
Published: April 2020

This article present a compact proposed patch antenna for impedance matched for simple two horizontal slot is placed in a active patch with a via hole in sandwiched between radiated patch and bottom plane of an microstrip patch antenna for a band of 4 to 12Ghz application. The planned antenna is synthesized by using glass reinforced epoxy laminated material (FR4) and electromagnetic 3D view (IE3D) software. The software based design is suitable for a band of 3.3//5.5 Wi-Max and 5.3/5.8 WLAN frequency band. It is also suitable for satellite application The ground and exciting patch is separated by 1.5mm thickness. The proposed antenna parameter is design for 10Ghz..For such design the achieved Bandwidth for an antenna is 53 % at a VSWR<2, acceptable return loss (S11) = - 22.5dB, and the directivity of an antenna is 6 dBi. The antenna is appropriate for an application of X band. The designs of an antenna and its result have been discussed in detail.
Classification of ECG Signal using Artificial Neural Network
Authors:   Department of CSE, BMSIT& M , Bangalore, India., Thippeswamy G. , Shilpa* Biradar ,   Department of ISE, Dr. Ambedkar Institute of Technology, Bangalore, India.
Published: April 2020

Electrocardiogram (ECG) is one of the significant investigative tool used in determining the health condition of heart. The raise in number of heart patients has necessitated a technique for automatic determination of diverse abnormalities of heart for lessening the pressure on the specialists or sharing their work load. The work presented in this paper facilitates in generating a computer based system that assists in categorizing the ECG signals. Artificial Neural Network (ANN) is been used for the classification of the signal. The various steps used for the determination of type of ECG signal are preprocessing, Feature extraction & selection and classification. The considered neural network is used to classify the six categories of arrhythmias named Normal Sinus, Right Bundle Branch Block (RBBB), Atrial Premature Beat (APB), Left Bundle Branch Block (LBBB), Arterial fibrillation, PVC. The simulation is done in MATLAB. The obtained results shows that the proposed classifier shows the enhanced performance sensitivity 95%, Specificity99% and classification accuracy 98%. This work provides the comparative analysis of the performance of proposed classifier with KNN, ANFIS and Naive Bias. The results shows the performance of proposed technique is better than other techniques.
Type-2 Duality Trapezoidal Fuzzy Fractional Transportation Problem using Fuzzy Optimization Techniques
Authors:   Department of Mathematics(UA), PSG College of Arts and Science, Coimbatore, India., Priyadharshini* P. , Anju A. ,   Department of Mathematics, PSG College of Arts and Science, Coimbatore, India.
Published: April 2020

The authors focused goal programming technique for solving type-2 duality fuzzy fractional transportation problem by using interval-valued triangular intuitionistic fuzzy numbers. The proposed method solves three types of models in which variables are taken as type-2 fuzzy variables which have spring up to the fuzzy fractional transportation problem. In these models, duality is applied and a particular type of non-linear membership functions are used to resolve duality fractional transportation problem including fuzzy parameters. A numerical example for examining the performance of the proposed model is envisaged here.
Estimation of Geodynamic Properties using Seismic Techniques at a Steel Rolling Factory, Northwestern Gulf of Suez, Egypt
Authors:   Faculty of Petroleum and Mining Engineering, Suez University, Suez, Egypt., A.Mesbah Maher , Salama Asem ,   National Research Institute of Astronomy and Geophysics (NRIAG), Helwan, Egypt., Albarqawy Mohamed A. ,   Faculty of Petroleum and Mining Engineering, Suez University, Suez, Egypt., M.Ali* Eslam ,   Faculty of Petroleum and Mining Engineering, Suez University, Suez, Egypt.
Published: April 2020

The objective of the current investigations is to estimate the dynamic geotechnical properties necessary for evaluating the conditions of the subsurface in order to make better decisions for economic and safe designs of the proposed structures at a Steel Rolling Factory, Ataqa Industrial Area, Northwestern Gulf of Suez, Egypt. To achieve this purpose, four seismic refraction profiles were conducted to measure the velocity of primary seismic waves (P-waves) and four profiles were conducted using Multichannel Analysis of Surface Waves (MASW) technique in the same locations of refraction profiles to measure the velocity of shear waves (S-waves). SeisImager/2D Software Package was used in the analysis of the measured data. Data processing and interpretation reflect that the subsurface section in the study area consists of two layers, the first layer is a thin surface layer ranges in thickness from 1 to 4 meters with P-wave velocity ranges from 924 m/s to 1247 m/s and S-wave velocity ranges from 530 m/s to 745 m/s. The second layer has a P-wave velocity ranges from 1277 m/s to 1573 m/s and the S-wave velocity ranges from 684 m/s to 853 m/s. Geotechnical parameters were calculated for both layers. Since elastic moduli such as Poisson’s ratio, shear modulus, Young’s modulus, and bulk’s modulus were calculated. Competence scales such as material index, stress ratio, concentration index, and density gradient were calculated also. In addition, the ultimate and allowable bearing capacities.
Lean Labour in AEC Industry: From Theory to Implementation
Authors:   Department Civil Engineering, Centurion University of Technology and Management, Odisha, India., Mishra Siba Prasad , Mishra Saswat ,   National Institute of Construction Management and Research., Siddique* Mohammed ,   Department Mathematics, Centurion University of Technology and Management, Odisha, India
Published: April 2020

The architecture, engineering and construction (AEC) industry, in India is flourishing due to urbanization, industrialization and modernization. The orthodox concept of construction was design-bid builds method or Integrated Project Development methods have been replaced by “lean construction” concept. The lean concept adaptation in AEC is contemporary to the socialistic working tool of the Anthropocene epoch during mid of 20th century. The studies on lean concept is highly relevant in the present social and ecological prospective which promote environmental sustainability, labour manager coordination and collaboration. The lean concept can enhance production and productivity in construction industry through effective implementation of lean labour management. The concept emphasizes on coordination, collaboration, team spirit with humane approach to labour management. The concept results in lowering cost , reduction and elimination of wastage, higher level of motivation , retention of workforce , innovation and implementation of result oriented management practices and achieving customer’s delight. The Takt time and last planners system is to be introduced with lean labour. The construction works on its flow processes require the value stream such as 6M’s (Men, Material, Machines, Methods, Mother Nature (environment) and Measurement), working under 5T’s principle (transparency, teamwork, technology, time, which shall lead to transformations) to be implemented within the AEC sector from grass root to top.
Land use Change on Storm-Water Characteristics of a Watershed in Northeast India
Authors:   Principal, Elitte College of Engineering, Kolkata, India., Basack* Sudip , Kashyap Upasana ,   Assistant Professor, Civil Engineering Department, Kaziranga University, Jorhat, India, Bhuyan Sanjay ,   Former Post-Graduate Students, Civil Engineering Department, Kaziranga University, Jorhat, India., Zaman Khairuz ,   Former Post-Graduate Students, Civil Engineering Department, Kaziranga University, Jorhat, India.
Published: April 2020

Land use change initiates significant impact on the stormwater characteristics including hydrograph, infiltration, discharges of the catchment, etc. An extensive literature review suggests that rapid urbanization is the root cause for such alteration in stormwater features. This paper presents a field-based study to investigate the influence of land use change on the hydrological characteristics in a region situated in northeastern part of India, namely, Kakodonga Watershed, Jorhat, Assam. The hydrogeological and stormwater characteristics of the region are ascertained by means of field and laboratory tests and the data collected are rigorously analyzed to carry out the study. The evapotranspiration demand has also been investigated by incorporating various analytical models. The important and relevant conclusions are drawn from the entire work.
Composite Feature Vector Assisted Human Action Recognition through Supervised Learning
Authors:   Research Scholar, Dept. of Computer Science Engineering, JJT University, Rajasthan India., Raju K. Ruben , Sharma Dr. Yogesh Kumar ,   Head & Associate Professor, Dept. of Computer Science Engineering, JJT University, Rajasthan India.., Devender Dr. Birru ,   Associate Professor, Dept. of Computer Science Engineering, Holy Mary Institute of Technology & Science, Hyderabad, India.
Published: April 2020

Human Action Recognition is a key research direction and also a trending topic in several fields like machine learning, computer vision and other fields. The main objective of this research is to recognize the human action in image of video. However, the existing approaches have many limitations like low recognition accuracy and non-robustness. Hence, this paper focused to develop a novel and robust Human Action Recognition framework. In this framework, we proposed a new feature extraction technique based on the Gabor Transform and Dual Tree Complex Wavelet Transform. These two feature extraction techniques helps in the extraction of perfect discriminative features by which the actions present in the image or video are correctly recognized. Later, the proposed framework accomplished the Support Vector Machine algorithm as a classifier. Simulation experiments are conducted over two standard datasets such as KTH and Weizmann. Experimental results reveal that the proposed framework achieves better performance compared to state-of-art recognition methods.
Information Manipulation as a Category of Communication Recipient’s Information Discomfort
Authors:   Associate Professor in Borys Grinchenko Kyiv University, Kyiv, Ukraine., Rosinska Оlena , Zhuravska Oksana ,   Associate Professor in Borys Grinchenko Kyiv University, Kyiv, Ukraine, Bykova Olha ,   Professor in Borys Grinchenko Kyiv University, Kyiv, Ukraine., Gandziuk Vitaliy ,   Associate Professor in Borys Grinchenko Kyiv University, Kyiv, Ukraine
Published: April 2020

The research focuses on a level of consumers’ awareness regarding the specific nature of the manipulative influence of mass media upon their consciousness. A free-associative experiment allows determining how much “information manipulation” consumers understand it as a specific phenomenon of mass media. It is important to determine the comprehension of this notion to form the strategies for the preparation of professional journalists. The manipulative influence of mass media is determined by an assignment to influence on the consciousness of the information consumer to form views, concepts and/or behavioral models. While researching the level of awareness of mass media manipulative influence, individuals demonstrate an understanding that this influence is quite notable and is dangerous both for their personal information comfort and for social reality. Media education for media content consumers, which is topical nowadays, requires a preliminary understanding of all the mechanisms and consequences of manipulative influence by mass media, that is why the research focuses on the exploration of the association area for the concept of “manipulation”, “information manipulation”. The research demonstrates that manipulative technologies are often based on stereotypization and mythologization of reality as the methods of manipulative generalization.
Factors Affecting Internet Purchasing Behaviour in Jorhat District of Assam
Authors:   M.A., M.Phil, Department of Economics, Dibrugarh University, Assam, India., Dutta* Mayuri
Published: April 2020

Electronic commerce which generally refers to the sale and purchase of various products and services over the internet is continuously getting more and more competitiveness with constantly evolving technology. Online shopping which has become a new type of retail shopping has been widely adopted by the people all over the world and it is a rapidly growing area of e-commerce. The present paper analyze the various aspects of online shopping on consumer’s buying behaviour and the factors that determine the online shopping behaviour of the people in the Jorhat district of Assam state of India. Jorhat district is selected because it is one of the fastest growing cities of Assam. The data related to e-shopping behaviour of the people were collected in the month of November 2019 by taking a sample of 150 people through a well-structured pre-tested questionnaire. A Binomial logistic regression analysis has done to find out the factors that determine the online shopping behaviour of the surveyed respondents. The estimated results reveals that the probability of using online shopping services has a positive and signification relationship with household income, trust on website and risk aversion attitude of the respondents.
Feature Based Face Recognition using Machine Learning Techniques’
Authors:   Department of computer science, Bangalore institute of technology, Bangalore, India., J.* Bhanushree K. , B.* Meenavathi M. ,   Department of electronics and instrumentation engineering, Bangalore institute of technology, Bangalore, India.
Published: April 2020

Human Face has Numerous unique Features to Distinguish between each other. Face can Identified by distinguishing between face and non-face followed by Identification. Traditionally face recognition uses distinct features Comparison to Identify the Faces which is Complex for larger databases and ambiguous in many scenarios. To improve the accuracy and Scalability Proposed method uses machine learning based Haar Cascade technique for face detection and convolutional neural network is used for feature extraction followed by classification using Euclidean distance and cosine transformation to recognize the face. The results demonstrate the work is performed well in recognizing the face efficiently with different variations.
Document Retrieval and Cluster Based Indexing using Rider Spider Monkey Optimization Algorithm
Authors:   Assistant Professor, Department of Information Technology, R.V.R & J.C College of Engineering, Chowdavaram, Guntur, Andhra Pradesh, India., Yarlagadda Smt. Madhulika , Rao Dr. K. Gangadhara ,   Professor, Department of Computer Science and Engineering, Acharya Nagarjuna University, Guntur, Andhra Pradesh, India., Srikrishna Dr. A. ,   Professor and head, Department of Information and Technology, RVR & JC College of engineering, Chowdavaram, Guntur, Andhra Pradesh, India.
Published: April 2020

Document retrieval process is more significant in the field of research community for retrieving the highly-relevant documents that fit for the user query. Even though various document retrieval methods are introduced, retrieving the exact document based on the indexing is a quite challenging task in the document retrieval framework. Thus, an effective document retrieval algorithm named Rider Spider Monkey Optimization Algorithm (RSOA) is proposed in this research. Initially, the documents are pre-processed by the stop word elimination and the stemming process, and the features are extracted to find the key words of the documents by applying the Term Frequency-Inverse Document Frequency (TF-IDF). The selected keywords are passed into the cluster-based indexing phase, where the cluster centroids are identified by using the proposed Rider Spider Monkey Optimization Algorithm. Moreover the query matching is carried out at two levels, at first, the query is forwarded and is matched to the entire cluster centroid to find the appropriate centroid. At the second level; the user query is matched based on the records present inside the matched centroid. Moreover, the query matching is progressed using the distance measure by the Bhattacharya distance to retrieve the documents. The performance is analyzed using the metrics, namely precision, F-measure, and recall and accuracy with the values of 90.141%, 91.876%, 91.178%, and 91.202%, respectively using 20 news group dataset .
Future Application of Block chain Technology in Verification for Recruitment
Authors:   Universiti Tun Hussein Onn Malaysia, Batu Pahat, Johor, Malaysia., Abdullah* Nor Hazana , Abdullah Nurhidayah ,   Universiti Tun Hussein Onn Malaysia, Batu Pahat, Johor, Malaysia.
Published: April 2020

Conventional verification in recruitment processes are demanding, especially when there are many candidates. Failure in this process can lead to wrong hiring for the job. The blockchain technology can solve most of these issues. However the uses of blockchain in verification for recruitment among Malaysia companies are not known. Therefore, this study is aim to determine the future blockchain technology for recruitment verification in Malaysia. By using STEEPV analysis, drivers of blockchain in verification for recruitment were identified. It is found that social driver is the highest which refer to trust and transparency issues of the system. Distribution of questionnaire was used to identify the top two drivers of future blockchain technology in verification for recruitment. The second phase would include impact-uncertainty analysis where cost and time effectiveness as well as data transparency and trust are the top two drivers. Based on these two drivers, four future scenarios have been developed which are impressive technology, overpriced technology, low adoption of technology and cost based technology.
Model-Based Synthetic Sampling for Imbalanced Data
Authors:   Student, Saveetha Univeraity, Kuthambakkam, Tamil Nadu, India, Fazil Haamid , Sinthia Gino ,   Assistant Professor, Saveetha University, Kuthambakkam, Tamil Nadu, India.
Published: April 2020

Imbalanced data is depicted by the ridiculous detachment in observation go over among classes and has gotten a lot of thought in data mining research. The hankering shows ordinarily separated as classifiers gain from imbalanced data, regarding the most part classifiers expect the class designation is balanced or the costs for different sorts of arrangement slip-ups are equal. Regardless, a couple of system have been considered to oversee cumbersomeness issues; it is so far hard to whole up those strategies to achieve stable improvement all around. In this observe, we propose a novel framework called model-based organized separating (MBS) to fit in with disparity issues, in which we empower showing up and looking into structures to make created data. The key idea behind the proposed strategy is to use fall away from the confidence models to get the relationship among features and to consider data better than anything ordinary assortment during the time spent data age. We direct evaluations on thirteen datasets and difference the proposed technique and ten strategies. The exploratory results show that the proposed way of thinking isn't in a manner relative yet moreover steady. We also give sifted through appraisals and portrayals of the proposed system to accurately show why it could make unprecedented data tests.
Mechanical and Geotechnical Properties of Recycled Waste Materials: The Feasibility of using Steel Slag – Cathode Ray Tube Glass as Aggregate Replacement for Road Pavements
Authors:   Department of Civil Engineering, Faculty of Engineering & Built Environment, Universiti Kebangsaan Malaysia, Bangi, 43600, Selangor, Malaysia., Mohamad* Ahmad Yusri , Jamil* Maslina ,   Department of Architecture and Built Environment, Faculty of Engineering & Built Environment, Universiti Kebangsaan Malaysia, Bangi, 43600, Selangor, Malaysia., Yusoff Nur Izzi Md. ,   Department of Civil Engineering, Faculty of Engineering & Built Environment, Universiti Kebangsaan Malaysia, Bangi, 43600, Selangor, Malaysia., Taha Mohd Raihan ,   Department of Civil Engineering, Faculty of Engineering & Built Environment, Universiti Kebangsaan Malaysia, Bangi, 43600, Selangor, Malaysia., Awang Abd Rahim ,   Polytechnics Muadzam Shah, Muadzam Shah, 26700, Pahang, Malaysia.
Published: April 2020

The volume of waste generated in Malaysia and throughout the globe continues to increase. Waste management and protection of the environment should be given a priority, and this requires for studied to be carried out on the problem of waste management. One of the approaches that can be adopted in this regard is to reuse waste materials as recycled products. Mechanical and geotechnical tests, namely the Los Angeles abrasion tests, the Atterberg limit test, and the sand equivalent value, were carried out to determine the suitability of using steel slag and CRT glass in the construction of road pavements. The value obtained from the laboratory test is within the JKR standard specification (JKR/SPJ/2008-S4). The objective of this study is to investigate the mechanical and geotechnical properties of steel slag and cathode ray tube (CRT) glass in order to determine the feasibility of using both materials as a natural aggregate replacement in the construction of road pavements. The result for the Los Angeles abrasion test showed that steel slag has better wear resistance and mechanical properties compared to those of the natural aggregates (granite) use in this study. The result for the Atterberg limit test showed that all three samples (granite, steel slag and CRT glass) are non-plastic. While the result for the sand equivalent value test showed that the granite sample has the highest value, followed by CRT glass and steel slag. Thus, it can be concluded that steel slag and CRT glass are suitable substitutes for natural aggregates (granites) since they have been proven to meet the requirements for the natural aggregates with similar properties. This provides an alternative use for recycled materials and the possibility of using these materials as an aggregate replacement in the construction of road pavements.
Water Quality Monitoring for Goldfish Aquarium using IoT
Authors:   Faculty, Technical and Vocational Education, University Tun Hussein Onn Malaysia,, Masek Alias , Rudi Mizan Adilliah ,   Faculty, Technical and Vocational Education, UniversitiTun Hussein Onn Malaysia., Sekeri Suhairawani ,   Faculty, Technical and Vocational Education, UniversitiTun Hussein Onn Malaysia
Published: April 2020

The goldfish is awell-known beautyful aquariumfish, butit is highly sensitive to the environment; thus, it demands lots ofcare and attention from the owner. The main purpose of this project is to assist the goldfish owners to monitor the pH level, turbidity and temperature using the Internet of Things (IoT). A productis developed based on the user-centric requirements, and the Design Thinking Model in five major phases of actions, namely empathise, define, ideate, prototype, and test. Controlled by acircuit board of Arduino WeMos D1 R32,the electronic device usesthree sensorsto monitor the conditions of the water--pH, temperature and turbidity. Testing of thefunctionalities was performed successfully and yielded meaningful results. The input and output functions operated smoothlyaccording to the flow chart,and were indicated by LED;at the same time, notifications were sent to the Blynk application platform.The LCD screen displayed the real-time conditions of water quality in the aquarium;the data were used to maintain the ideal conditions of the water for the goldfish to live in.
UAE’s Labor Market Snapshot | Skills and Educational Mismatch During Industry 4.0
Authors:   Razak Faculty of Technology and Informatics, Universiti Teknologi Malaysia, Dubai, United Arab Emirates., Goher* Eng. Ghada , Masrom Prof. Dr. Maslin ,   Razak Faculty of Technology and Informatics, Universiti Teknologi Malaysia, Kuala Lumpur, Malaysia., Amrin Prof. Dr. Astuty ,   Razak Faculty of Technology and Informatics, Universiti Teknologi Malaysia, Kuala Lumpur, Malaysia., Rahim Dr. Noorlizawati Abd ,   Razak Faculty of Technology and Informatics, Universiti Teknologi Malaysia, Kuala Lumpur, Malaysia.
Published: April 2020

The increased penetration of technology which brings efficiency to businesses globally has caused a shift in the skills that are required by the employees. One of the ways that the economy can reap the benefits of the digital revolution is by ensuring the development of appropriate skills that are mandated by the technological economy. Skills and educational mismatch have been noted to have a negative influence on employee and labour market outcomes. Due to this, several studies that focused on diagnosing the phenomena of skills and educational mismatch have been conducted in some developed countries. Despite the rate of economic growth that the UAE has achieved, far too little scholarly attention has been paid to skills and educational mismatch in the country. Therefore, this study’s objective is to measure the extent and nature of skills and educational mismatch from the perception of current workforce in the market. Using quantitative methodology, primary data in the form of surveys was collected from 206 respondents. SPSS was used to analyze the survey data in the form of descriptive statistics and cross tabulations. The results indicated that skills and educational mismatch is prevalent in the UAE across the private and public sector. Moreover, we found evidence suggesting the nature of skills mismatch is skills gap and the type of educational mismatch that is most prevalent in the UAE is horizontal mismatch. The results also indicate that engineers are some of the most affected by both skills and educational mismatch where most of the engineers are not working in engineering jobs compared to business management graduates most of who are working in their field of graduation. This paper contributes by creating new evidence in the area of skills and educational mismatch in the UAE’s labour market. It has bridged a gap by examine the state of mismatch in the UAE which can then allow to establish corrective actions to reduce the said mismatch in the country.
The University Recommendation System for Higher Education
Authors:   School of Computer Engineering and Technology, MIT World Peace University, Pune, Maharashtra, India., Nalawade* Aishwarya , Tiple Bhavana ,   School of Computer Engineering and Technology, MIT World Peace University, Pune, Maharashtra, India.
Published: April 2020

Recommendation system has become a requirement in today’s world. This recommendation system is spread over large sectors right from education, entertainment, health, business etc. The University Recommendation System is a system which recommend right university for the students based on their GRE, TOFEL score. Due to rapid increase in data and lack of learning in education filed, students often halt selecting wrong universities. Thus, there is a need of recommendation system which is trained to understand the user’s requirements and suggests them that suitable university which they need. Typically, recommendation mechanisms are used based on user’s historical data. It helps the user to discover information and settle on right choices where they do not have the required learning to judge a specific item. This paper explores the flow, types and uses of recommendation system in education.
A Novel Gmtds Algorithm for Dynamic Management of Transaction under Different Workload Condition
Authors:   Faculty of Computer Science and Engineering Department, Anjuman, College of Engineering and Technology, Nagpur, India., Khatib* Mohammad Sharfoddin , Atique Prof. Dr. Mohammad ,   P.G. Department of Computer Science and Engineering, Sant Gadge baba Amravati University, Amravati, India.
Published: April 2020

In today’s scenario large enterprise world spread across different locations, continents or having a diverse presence over the globe, where data is enormous and handling such large data over distributed computing becomes critical in real-time database system. The transaction management system for the distributed environment must ensure that the sequence of updates in the stable warehouses in different locations is confirmed or cancelled safely as a single complete unit of work. Working with Real-Time Database System (RTDBS) and that to on a distributed computing system is a tough task. When we work with distributed environment over larger database, we need to take care of the transaction time period as well as number of transactions that are actually executed (committed) and number of transactions fail. The application on dynamic RTDBS becomes more complex when certain deadlines need to be completed. In this paper, we had carried out the test of CRUD (Create, Read, Update, and Delete) operation on transactional Real-time databases in real time dynamic distributed environment by using the existing EDF, GEDF algorithm and we had compared these algorithms with our proposed GMTDS algorithm in standalone and distributed environment with a dynamic self adaptive approach for management of transactions.
Risk Management & Mitigation Plan for Data Center Environment
Authors:   Information Systems Management Department, BINUS Graduate Program – Master of Information Systems Management, Bina Nusantara University, Jakarta, Indonesia, Suroso* Jarot S. , Sutikno Alkaton ,   Information System Management Department, BINUS Graduate Program - Master of Information Systems Management, Bina Nusantara University, Jakarta, Indonesia, Ginting Friska Giovanny Br. ,   Information System Management Department, BINUS Graduate Program - Master of Information Systems Management, Bina Nusantara University, Jakarta, Indonesia, Angelica Natasha ,   Information System Management Department, BINUS Graduate Program - Master of Information Systems Management, Bina Nusantara University, Jakarta, Indonesia
Published: April 2020

To ensure company stability in running a business, the management team of the company must be aware of risks that could arise under various condition. These risks should be identified and mitigated as early as possible, before its effect the company. No matter what resource its affected, either core or support resource risks must be mitigated to avoid loss and damage to the company. Data Centre is one of the core resources of a company; it keeps the company information and used daily in the company. If by any causes, the data center could not be accessed or function; normally, it would cause a great loss to the company. This paper discussed the used of Facilitated Risk Analysis and Assessment Process (FRAAP) technique to list and mitigate risk to the company data center. There are four steps of FRAAP technique used in this paper: creating risk description list, creating a risk sensitivity profile, creating risk exposure rating, and creating mitigating control list. The used of FRAAP technique, resulted in identification of two type of risk which are confidentiality and availability. The mitigation plan in this paper, cover the steps planned to mitigated risk resulted from information leak (Confidentiality); ex. hacking, virus, Etc. and natural disaster (Availability); ex. Flood, earthquake, fire, Etc. These planned mitigation steps are divided into three lists, which are: Risks response, Emergency Response Steps, Recovery steps, and restoration steps of the company data center.
Computational off loading through 5G Enabled Edge Computing in IIOT
Authors:   Student, Department of Computer Science and Engineering, SRM Institute of Science and Technology, Chennai, India., Krishna* P.Thanu , Viswanathan G.Kasi ,   Student, Department of Computer Science and Engineering, SRM Institute of Science and Technology, Chennai, India., sudhan N.Harihara ,   Student, Department of Computer Science and Engineering, SRM Institute of Science and Technology, Chennai, India., kumar P.Vinoth ,   Assistant Professor, Department of Computer Science and Engineering, SRM Institute of Science and Technology, Chennai, India.
Published: April 2020

Computational offloading is the active research nowadays. To improve the computational offloading and security of data we use game theory approach and 5G enabled edge computing. Edge computing is providing solution across various sectors Such arrangements not just decreases load on the cloud by preparing information on the edge, yet in addition assume a significant job in information security by guaranteeing information correspondence is privately meant system which legitimately interfaces the user equipment, at that point the nearby server sends to the organization’s network core. With organizations and other institutes looking to integrate this edge-focused approach to their communication infrastructure, it is used in collection and managing data securely. This with a combination of 5G and game theory approach we can easily manage the data transmission. Game theory approach helps IoT devices to take decision autonomously and reduce computational offloading.5G is on the rapid development than ever before. Due to its super-fast speeds, high bandwidth, reduced latency and increased capacity over 4G, 5G has the ability to provide greater security and computational offloading than 4G. The 5G network’s speed likely to reach 20-30 times faster than what the 4G network allows. That improvement opens possibilities for far-away sensors to connect and reduce latency through local servers. 5G uses distributed network of base station in small cell infrastructure because of its shorter range. Due to its higher frequency 5G uses new radio spectrum (N-RAM) structure.5G further improves the data security by using network slicing. Thus our experiment in this paper use dynamic computational offloading algorithm to the user equipment which transfer data via 5G.
Spectroscopic and Antimicrobial Examine on LaNi1-xFexO3 (x = 0.1 & 0.2) Nanoparticles Synthesized By Sol Gel Combustion Method
Authors:   Associate professor, Department of Physics, Karpagam Acadmey of Higher Education. Coimbatore., Fathima* Mrs. A. Sahana , Sharmila Dr. S. ,   working as an Associate Proessor in Department of Physics, Faculty of Arts Science and Humanities, Karpagam Academy of Higher Education, Coimbatore., Kumar Dr. V. Senthil ,   worked as Professor and Head at Physics Department, Faculty of arts science and humanities, Karpagam Academy of Higher Education, Coimbatore.
Published: April 2020

Most of the perovskite materials exhibit an anti- bacterial effect, and due to their non-toxic nature they can be used in surgical tools. An attempt has been made to study the anti-bacterial activity and its spectroscopic analysis of Fe- doped Lanthanum Nickel Oxide nanoparticles prepared by sol-gel combustion method. The material exhibits cubic structure of LaNi1-xFexO3 examined from XRD analysis. The optical absorbance, bandgap and the type of bonding have been identified using UV-VIS spectroscopic and FT-IR analysis. Antibacterial property of the synthesized material also studied using a gram positive bacteria (Streptococcus pyogenes ) and gram negative bacteria (Escherichia coli ).
Investment Decision on Renewable Energy with Reference to Rooftop Solar PV- Household Prospective
Authors:   Associate Professor, Institute of Business and Computer Studies (IBCS) (Faculty of Management Science), Siksha ‘O‘Anusandhan (Deemed to be University) Bhubaneswar, Odisha, India,, Jena* Dr. Duryodhan , Das Janardan ,   Research Scholar, Management Studies, North Orissa University, Odisha, India, Samantray Dr. Anup Kumar ,   Dean, Institute of Business and Computer Studies (IBCS) (Faculty of Management Science), Siksha ‘O‘Anusandhan (Deemed to be University) Bhubaneswar, Odisha, India.
Published: April 2020

India in 21st century re-emphasized on generation of solar energy by using rooftop solar PV. Looking at global worming and increasing demand of electricity, government of India will be in compulsion to adopt this solar energy in place of existing electricity generation practices. So, by looking at county priority, an attempt has been made to study the perception of household users regarding investment made on rooftop solar PV in place of tradition system. A purposive sampling technique was used to select 100 responses in the city of Bhubaneswar, Odisha, India. The study applies descriptive statistics to know the perception of household user towards rooftop PV. This article suggests that there is ample scope in rooftop solar pv. If private players are being provided with good incentive, motivation and support from state govt. as well as central govt then there will be substantial growth Rooftop solar energy. This study will contribute to the existing knowledge base as well benefited to the practitioner of corporate houses in energy sector.
The Effects of Crowding Towards the Domestic Tourist Satisfaction at Pangkor Island
Authors:   Centre of Study for Park and Amenity Management, Faculty of Architecture Planning and Surveying, Universiti Teknologi MARA Shah Alam, Malaysia., Anuar* Ahmad Nazrin Aris , Suriansa Norasniza ,   Centre of Study for Park and Amenity Management, Faculty of Architecture Planning and Surveying, Universiti Teknologi MARA Shah Alam, Malaysia., Jaini Norajlin ,   Centre of Study for Park and Amenity Management, Faculty of Architecture Planning and Surveying, Universiti Teknologi MARA Shah Alam, Malaysia., Sulaiman Firdaus Chek ,   Centre of Study for Park and Amenity Management, Faculty of Architecture Planning and Surveying, Universiti Teknologi MARA Shah Alam, Malaysia., Hashim Nur Idzhainee ,   Centre of Study for Park and Amenity Management, Faculty of Architecture Planning and Surveying, Universiti Teknologi MARA Shah Alam, Malaysia.
Published: April 2020

The crowding is a multiple dimensional concept which produced by human (visitors and tourists) or physical appearance. Nevertheless, the crowding is seen as an undesirable impact to the satisfaction of tourists in tourism attraction. The purpose of this study is to find the consequence of crowding towards domestic tourist’s satisfaction at Pangkor Island. Therefore, two objectives of this study: i) to identify the factor that influence the crowding at study area from domestic tourist perspective, ii) to analyze the effect of crowding towards the domestic tourist satisfaction at study area. This study is using quantitative technique which 384 questionnaires were distributed to the domestic tourists as respondents at Pangkor Island. The findings showed that the factors of accessibility were influenced of crowding at Pangkor Island. A part of that, the majority of respondents stated that the attraction and accessibility was the elements which effect the crowding towards the domestic tourist satisfaction at Pangkor Island. This study may inspire the stakeholders in handling the numbers of tourists for ensure it will not give negative impacts to Pangkor Island.
Insights of JSON Web Token
Authors:   School of Computer Engineering and Technology, MIT World Peace University, Pune, Maharashtra, India., Mahindrakar* Pooja , Pujeri Dr. Uma ,   School of Computer Engineering and Technology, MIT World Peace University, Pune, Maharashtra, India.
Published: April 2020

In almost every organization where user sensitive data is available, security and privacy of the data plays a vital role. As far as computer science is concerned, it is just a game of saving data in unrecognizable format and accessible to authorized person. User sensitive data mainly includes passwords which are required for the sessions but need to be handled and stored safely.As storage of these information is overhead in database, Tokens are generated which handles sessions and also self contains user details. One of such widely used stateless token is Json Web Token. This paper deals with the introduction, working and algorithms of Json web token. Also pros, cons, hacking possibilities, Proper usage and security measures of JWT are discussed.
Identification of Extreme Guilt and Grave Fault in Bengali Language using Machine Learning
Authors:   Department of CSE, University of Asia Pacific, Dhaka, Bangladesh, Saha* Aloke Kumar , Das Jugal Krishna ,   Department of CSE, Jahangirnagar University, Savar, Dhaka, Bangladesh
Published: April 2020

Though huge amount of study has been done on the Bengali Language for information retrieval, but none of them deals with extreme guilt ( ) and grave fault ( ) in the Bengali Language. In this study, we have described extreme guilt ( ) and grave fault ( ). We have used three machine learning methods, such as Logistic Regression (LR), Support Vector Machine (SVM) and Multinomial Naive Bayes (MNB) as the baseline classifiers among the baseline classifier, MNB shows the accuracy of 89%. Ensemble learning has been used to improve the baseline classifiers. We have implemented an Ada Boost algorithm and Maximum voting classification decision method depending on the results of baseline classifiers. Maximum voting and Ada-Boost algorithms have shown an accuracy of 91% and 92% respectively. We have modified the Ada-boost algorithm using Principal Component Analysis (PCA) and named it JR-Ada-Boost. It outperforms all algorithms and gives an accuracy of 94%.
Fuzzy Based Enhanced Medium Access Control protocol for Wireless Sensor Networks
Authors:   Department of Computer & Information Science, Faculty of Science, Annamalai University, Annamalainagar, Tamil Nadu, India., Tamilarasi* N. , Santhi Dr. S. G. ,   Department of Computer Science and Engineering, FEAT, Annamalai University, Annamalainagar, Tamil Nadu, India
Published: April 2020

Wireless Sensor Networks (WSNs) have increased huge consideration because of their wide scope of utilizations. In these networks, the sensor hubs gather various kinds of information from the general condition. During the transmission of collected data packets, some of them will be dropped due to the collision of packets. So, collide packets are retransmitted which may lead the network to high energy consumption. As Medium Access Control (MAC) protocol has responsible for reliable communication in WSN, an enhanced MAC protocol has to be proposed for improving energy efficiency of the network. By considering this solution, Fuzzy Based Enhanced Medium Access Control protocol (Fuzzy-MAC) is proposed in this paper. Before transmission, data packets are prioritized using the Fuzzy system. Then the packets are transmitted in light of the need of the parcels. Simulation results show that the exhibition of the proposed Fuzzy-MAC beats that of existing MAC protocols as far as energy utilization, delivery ratio and throughput.