bluuebunny/crossref_metadata_2025 huggingface dataset:
Effectiveness of artificial neural networks in recognising handwriting characters
Authors: Miłosz Marek , Gazda Janusz
Published: November 2019

Artificial neural networks are one of the tools of modern text recognising systems from images, including handwritten ones. The article presents the results of a computational experiment aimed at analyzing the quality of recognition of handwritten digits by two artificial neural networks (ANNs) with different architecture and parameters. The correctness indicator was used as the basic criterion for the quality of character recognition. In addition, the number of neurons and their layers and the ANNs learning time were analyzed. The Python language and the TensorFlow library were used to create the ANNs, and software for their learning and testing. Both ANNs were learned and tested using the same big sets of images of handwritten characters.
Comparative analysis of mobile applications for IT project management
Authors: Wlaszczyk Ewelina , Miłosz Elżbieta
Published: November 2019

The article presents the results of a comparative analysis of selected applications for Android mobile system used to manage IT projects. The research was carried out using multicriteria analysis on the functionality, intuitiveness and appearance of the interface and the available data integration of the application.
Digital Technology in the Management of Quality Service in Tourism Business
Authors:   Assistant Professor, Department of Tourism and Hotel and Restaurant Business, Odessa National Economics University, Odessa, Ukraine., Nezdoyminov* Sergii , Bedradina Ganna ,   Senior Lecturer, Department of Tourism and Hotel and Restaurant Business, Odessa National Economics University, Odessa, Ukraine., Ivanov Andrii ,   Assistant Professor, Department of Tourism and Hotel and Restaurant Business, Odessa National Economics University, Odessa, Ukraine.
Published: November 2019

The objective need for quality management has identified the special role of digital technology in booking services, information and communication systems in the tourism business. The quality of services is one of the most important components of the efficiency and profitability of the tourism industry in the current conditions of tourism development. The quality management system of production processes in the tourism sector should be a continuous process of measures aimed at improving the level of services, improving production elements and introducing innovative technologies. All the processes of designing, ensuring and maintaining the quality of tourism products should be integrated into the quality management system. It has been established that the consistency between the priorities of the enterprise in the field of improving the quality of services and the goals of the overall set of business processes is a condition for the effective and long-term development of the enterprise. The authors determined that modern management and modeling of business processes in enterprises, speed and quality of customer service require a specialized software product developed exclusively for the needs of the tourism industry. Based on the methods of financial analysis, the authors of the article substantiated the economic feasibility of implementing Fox Manager BPA 2.5 software using the example of a travel company. The profitability index of the proposed software product will be 1.6. The estimated payback period is 1.7 years. The authors' suggestions are aimed at creating a modern workplace for sales managers and automation of internal office processes in a travel company using digital technology.
Modeling The Framework for Evaluating the Non-Functional Requirements Affecting Application Efficacy in Cloud Computing Domain
Authors:   M.Tech, Motilal Nehru National Institute of Technology Allahabad (up) India., Pandey* Brijesh , Soam Dr. Sudhir Singh ,   PhD, Dr. A.P.J. Abdul Kalam Technical University, Lucknow, (Uttar Pradesh) India., Yadav Dr. D. K. ,   PhD, Indian Institutes of Technology, Allahabad (Uttar Pradesh) India.
Published: November 2019

Predicting application performance concerning the parameters such as processor, network, memory, and disk needs to be analyzed and the model is to be built up for various non-functional requirements in cloud computing. The NFR include availability, portability, security, reliability, etc. Cloud computing provides a way for provisioning of resources in one of the three ways. The first could be cloud infrastructure, the second could be provider infrastructure or the third could be a combination of both. Specifying NFR and ascertaining the required resources requires a lot of knowledge and therefore the various models are built up in this context. To exploit the cloud computing domain software engineer's needs to quantify various requirements of the application and based on that framework needs to be designed and developed for controlling cloud services at the multiple levels of abstraction. In this paper, we will analyze models evaluating various NFR affecting the efficacy of application in a cloud computing domain. The model could be both working for static as well as dynamic implementation.
Improved RC6 Algorithm using Two Types of Chaos Maps
Authors:   computer science, University of Diayla, Baquaba, Iraq,, Al-Ta'i Ziyad Tariq Mustafa , Jumaa Ebtisam ,   computer science, University of Diayla, Baquaba, Iraq,
Published: November 2019

RC6 (Rivest cipher 6) is keyblock chipher which consider symmetric imitative from RC5. It was intended to encounter the needs competition of the Advanced Encryption Standard (AES) . The aim of this work is to add new security layer to RC6 (Rivest Cipher 6) algorithm, because there is some insufficiency in the Key Scheduling Algorithm (KSA) of RC6. This paper presents improved RC6 (IRC6) key generation based on two types of chaotic maps (Chebyshev,2d logistic) to generate N key to N users. The results prove that the average secrecy of IRC6 is better than of traditional RC6, in which: for 32 bits’ key length, and 256 bits’ plaintext size, the average secrecy of IRC6 is (0.536 - 3.907) while for RC6 is (0.254 constant).
An Efficient AES Algorithm for IoT based Applications
Authors:   Department of Elect & Comm Engineering Veltech Rangarajan Dr.Sagunthala R&D Inst. of science & Technology, Tamilnadu, India., Nandan V. , Rao R. Gowri Shankar ,   Associate Professor Department of Physics, Veltech Rangarajan Dr. Sagunthala R&D Inst. of science & Technology, Tamilnadu, India.
Published: November 2019

With a massive growth in net communications, there is always a chance of risk to keep the data secret, reliability of data, additionally accessibility of data. An outcome for this is gift cryptographic methodologies which includes the superior Encryption trendy (AES), which might be at gift shield such information, are necessitated to be quick and well protected. In this report, we talk two novel techniques for adapting the foresaid trouble and it is being made potentially through enhancing the design of mix column manipulation of Advance Encryption Standard (AES). An improvement of 1.27 occasions transformed into completed in evaluation to earlier calculations in expressions of pace proficiency [1][2]. As far as hardware structural layout, a space discount of almost thrice change is additionally achieved. AES has input data blocks of 128 bits, with keys length of 128,192 or 256 bits. In this manuscript, a hardware representation of AES algorithm is described using key of length 128 bits. The AES hardware set up is realized using xilinx nexys 4 artix 7 –FPGA board with the help of xilinx ISE design suite. Our work focuses on MAES, a low power AES encryption algorithm which run over the interest [5]. In MAES, a S-Box of one dimension is suggested using new mathematical expression for creating a (n×n) matrix in affine transformation. The percentage efficiency of 18.35% is obtained by MAES than AES, when encrypted packets are transmitted. Thus MAES expends low power compared to that of AES, which is suitable for resource constraint environments.
Process Simulation Framework Design and Validation with Grinding Systems
Authors:   Associate Professor, Department of Computer Science India., Sridevi* Dr. S.
Published: November 2019

Process Industrial & their complex control operations require comprehensive simulation software systems for modeling plant dynamics and analyzing gaps and to achieve optimal control efficiency. These models support in training plant engineers on various process scenarios in controlled pseudo real time environment. Higher degree of model designing customization, flexibility, scalability, cost efficiency and domain agnostic solution features, are the desired characteristics of any process simulation framework. This paper formulates prototype design of an integrated generic process simulator platform and its components, enabling intuitive and interactive representation of intelligent model formats, facts, knowledge, rules & behaviors. The benefits range from safer process training, analysis / synthesis of controller models; control optimization and theoretical learning. The simulation performance of proposed framework is verified through material fineness control modeling of rotary vertical grinding mill. The adaptive leaning features, with hybrid prediction model validations results in the simulation accuracy and results are compared with prevalent systems.
Adsorption of Amido Black 10B by ZnFe2O4-ZnO Nanopowder
Authors:   Department of Engineering, Ibri College of Technology, Ibri, Sultanate of Oman, Ahmed M. N. Zulfiqar , Jahagirdar A. A. ,   Department of Chemistry, Dr. Ambedkar Institute of Technology, Bengaluru, India., Somashekar H.M. ,   Department of Mechanical Engineering, Dr. Ambedkar Institute of Technology, Bengaluru, India.
Published: November 2019

ZnFe2O4-ZnO nanopowder was synthesized by solution combustion method using zinc nitrate and ferric nitrate as oxidizers and oxalyl dihydrazide as fuel. The nanopowder was characterized by powder X-ray diffraction (PXRD), Fourier transform infrared spectroscopy (FTIR), scanning electron microscopy (SEM) and Brunauer-Emmett-Teller (BET) surface area measurements. The nanopowder was used as adsorbent for the removal of the dye Amido Black 10B (AB 10) from its aqueous solution. The effect of dosage of the nanopowder and contact time was studied. The results indicated that the nanopowder acted as a good adsorbent for the removal of AB 10. More than 89% removal of the dye was achieved for a catalyst dosage of 0.8g of the nanopowder per liter of the dye solution. The optimum contact time was found to be 40 minutes. Adsorption isotherms and adsorption kinetic models were applied to the adsorption data to know the mechanism and kinetics of adsorption. The adsorption data fitted well for the Langmuir adsorption isotherm and followed pseudo-second order kinetics.
Embodied Energies of Conventional and Alternate Building Materials in Residential Sector of Himachal Pradesh
Authors:   Research Scholar, Department of Architecture NIT Hamirpur HP, India., Sharma* Ar Ridima , Tanwar Ar Sakshi ,   HP Public works Department, Himachal Pradesh India.
Published: November 2019

In the past years, the architects and entrepreneurs were more interested in the utilization of intelligent building features for achieving energy-efficient buildings that comply with stringent energy codes and national goals of reducing dangerous emissions, together with improving overall environment. The aim of this paper is to explore the influence of incorporating passive intelligence in buildings in terms of alternate sustainable building materials in residential sector, through the perspective of embodied energies of building materials and user comfort with an emphasis on thermal gains and losses. Result shows a considerable decrease of in a shift from conventional building materials towards alternate materials. Considerable change is also visible in the resultant comfort levels.
Machine Learning Technique for Crop Recommendation in Agriculture Sector
Authors:   Department of Computer Engineering, R. C. Patel Institute of Technology, Shirpur, India, Patil Dr. Nitin N. , Saiyyad Mr. Mohammad Ali M. ,   Department of Computer Engineering, R. C. Patel Institute of Technology, Shirpur, India
Published: November 2019

Numerous efforts have been demonstrated through various innovations to lead towards the betterment of agriculture sector till now. Effective and innovative use of Science and Technology can help to improve crop quality and production, yield prediction and crop disease analysis. Agriculture sector provides various productions such as food, raw material for industry and has a significant impact on economy and employment of a country. The agriculture sector contains huge data with respect to factors affecting its input and output. With advances in technology, various data mining techniques have been introduced accordingly. Also different analytical models like Decision Tree, Random Forest, Support Vector Machine and Bayesian Neural Network are available for required analysis. These data mining techniques can be used to analyze the multidimensional, time specific data of agriculture sector to produce effective knowledge in support of the efforts to boost the economy. These methods can be further used to analyze soil, climate, moisture, humidity, temperature. In this paper, we used Naive Bayesian Classification technique to identify the class of crop and used the food grain dataset to analyze the technique over different attribute. Further we used Machine Learning approach for the accurate crop recommendation. Crop recommendation will help for effective decision making to the end user to take proper decision according to the output of the system.
Design and Analysis of 32 bit R evers e C onverter based on low power Parallel Prefix A dder
Authors:   Research Scholar, Department of Electronics and Communication Engineering, Noorul Islam Centre for Higher Education, Thuckalay, India., Daphni Mrs. S. , Grace Dr. K. S. Vijula ,   Associate Professor , Department of Electronics and Communication Engineering,Noorul Islam Centre for Higher Education, Thuckalay, India.
Published: November 2019

The Residue Number System (RNS) based reverse converter can play as main role in Parallel arithmetic operations of Digital Signal Processing (DSP) applications and VLSI technologies. Normally, by the use of carry adders, the reverse conversion design gives high delay and high power consumption. Due to resolve of above problem, the design of reverse converter is proposed by the use of familiar high speed (less propagation delay) Parallel Prefix - Kogge Stone Adder (PP- KSA). This paper describes the design of 32-bit Reverse converter with regular PP-KSA and proposed MUX (Multiplex) logic of PP-KSA with Hybrid Modular Parallel Prefix structure (HMPE) separately. In addition to that, the performance of that designs are analysed based on area, delay and power independently. The Performance results of proposed MUX logic of PP-KSA Reverse converter design yields low power than the other design which uses the regular PP-KSA. The simulation and synthesis effects can be done in Xilinx ISE 14.2i tool.
Efficiency of Tank Mixture of Herbicides Reducing Weediness and Increasing the Productivity of Soybean Crops
Authors:   Far Eastern Research Institute of Agricultural Mechanization and Electrification, Blagoveshchensk, Russia., Epifantsev* Victor , Panasyuk Alexander ,   Far Eastern Research Institute of Agricultural Mechanization and Electrification, Blagoveshchensk, Russia., Osipov Yakov ,   Far Eastern Research Institute of Agricultural Mechanization and Electrification, Blagoveshchensk, Russia., Vaytekhovich Yuriy ,   Far Eastern Research Institute of Agricultural Mechanization and Electrification, Blagoveshchensk, Russia.
Published: November 2019

The article discusses the method of weed control in soybean production in the Far Eastern region. The weather characteristic for the period of soybean cultivation, the composition of tank mixtures of herbicides for controlling various types of weeds are given. The results of experiments to determine the weediness of crops and the effect of tank mixtures on the growth and productivity of soybean seeds are presented. The findings reflect the compatibility of various types of herbicides in tank mixtures.
Design and Analysis of Interdigital Coupled Ultra Wideband Bandpass Filter using Multimode Resonator
Authors:   Department of Electronics and Communication Engineering, School of Engineering, Sir Padampat Singhania University, Udaipur, India., Bohra* Hussain , Ghosh Amrit ,   Department of Electronics and Communication Engineering, School of Engineering, Sir Padampat Singhania University, Udaipur, India.
Published: November 2019

In this paper, an interdigital coupled microstrip bandpass filter incorporated with shorted stub multi-mode resonator at ultra-wideband spectrum is presented. Proposed filter is characterized by its ultra compactness achieved through multi-mode resonator. The proposed filter is incorporated with interdigitated transmission line based on Lange Coupler topology. This structure enhances capacitive coupling between feed line and MMR which improves lower frequency selectivity of BPF. The parameters viz. fractional bandwidth of 105%, return loss above 20 dB and insertion loss below 1 dB at centre frequency of 4.875 GHz are recorded. The bandwidth of the filter is measured to be 5.15 GHz (2.3 to 7.45 GHz). The filter shows good linearity with its group delay recorded 0.2 ns with small variations of 0.1 ns at maximum in its passband. The compactness of proposed filter makes it suitable for various modern wireless applications.
A Correlative Scrutiny for Improving the Career Guidance Links in Social Network
Authors:   Associate Professor, Department of Computer Science and Engineering, Hindustan Institute of Technology and Science, Chennai, India., T* SudalaiMuthu , A Rohini ,   Research Scholar, Department of Computer Science and Engineering, Hindustan Institute of Technology and Science, Chennai, India.
Published: November 2019

Social Network analysis techniques have shown the ability to meet educators and influence career development guidance. Career education mentoring plays an important role in the career supporting which are the interest, the strength, and the aspirations of the students. In this paper, we proposed a career development framework enhances the node influence propagation and effective interaction between nodes is taken as a strong link, from the node influence propagation we divide it into two categories such as: (1) career predictions to persuade prospective graduates to pursue the desired career path, with career prospects considered by them as a learning opportunity. (2) Social network analysis and persuasive techniques are used to motivate within a social networking framework where there is a tendency to adopt desired professional behaviors. The process begins with the discovery of behavioral features to create a cognitive profile and to identify individual disabilities. We compare a clustering algorithm that predicts the accuracy values and pattern of creations to a social network for achieving collaborative cognition.
Determinants of Online Purchase Decision of Green Products
Authors:   Research Scholar, Department of Business Administration, Annamalai University, Tamil Nadu, M* Ramesh , Rajakumar Samudhra ,   Professor, Department of Business Administration, Annamalai University, Tamil Nadu
Published: November 2019

The awareness of green environment among the common man have made them choose green products over non green products. Green companies now try to manufacture green products that are more economical. There are global green companies to local household groups that manufacture green products. These are the outcomes of the green movement that made people become more eco-friendly in their day to day lives. This paper addresses the impact of green product features like green label, green package, green advertisements etc. on consumer’s online buying decision. The analysis is carried out using regression methods. The studies would help green product manufacturers and online shopping companies to identify the green product features that influence the online green customers.
Novel Method for Early Detection and Classification of Neuro Degenerative Disorder Amyotrophic Lateral Sclerosis
Authors:   Department of Computer Science, Rayalaseema University, Kurnool, Andhra Pradesh, India., NJ* Krishna Kumar , R Balakrishna ,   Department of Computer Science, Rayalaseema University, Kurnool, Andhra Pradesh, India.
Published: November 2019

The most common progressive neurodegenerative disorder in the fetal nature is amyotrophic lateral sclerosis (ALS). The ALS incidence is approximately 2 per 100 000, with the maximum life span being two to three years after the start of symptomatic growth. However, premature identification may increase the lives of the impacted people. EEG is the most convenient and cheapest technique for measuring brain electrical activity. Automated EEG can be used as the coherent identification biomarker technique which is always connected with fronto-temporal dementia (FTD) in seconds to detect ALS in previous phases of growth. The EEG spatial assessment will show spatial and behavioral structure changes in the fundamental cellular network resulting from FTD and may produce prospective biomarkers for premature identification of ALS. The use of the Dual Tree Complex Wavelet Transformation (DTCWT) technique has developed a novel algorithm. DTCWT can solve the abbreviation of current EEG removal functionality techniques. The spectral leakage is reduced by a ideal rebuilding of the DTCWT measurements, so the suggested algorithm has led to an effective and coherent ALS ranking with a Neural Network (NN). For analyzes, eight EEG datasets, each of the Normal Group and Subject were used, and spectral EEG analysis provided a source of definite biomarkers. The proposed algorithm produced 100 percentage accuracy with respect to the dataset considered in this analysis.
Effect of FE(II) Concentration on Bioleaching of Zinc from Sphalerite using Leptospirillum Ferriphilum: Kinetic Aspects
Authors:   Chemical Engineering, Addis Ababa Science and Technology University, Addis Ababa, Ethiopia., S* Venkatea Prabhu. , R Baskar. ,   Food Technology, Kongu Engineering College, Erode, India., Adugna Amare T. ,   Environmental Engineering, Addis Ababa Science and Technology University, Addis Ababa, Ethiopia., K Gizachew Assefa. ,   Chemical Engineering, Addis Ababa Science and Technology University, Addis Ababa, Ethiopia., A Amsalu Gosu. ,   Chemical Engineering, Addis Ababa Science and Technology University, Addis Ababa, Ethiopia.
Published: November 2019

The objective of this study was to isolate an acidophilic iron-oxidizing bacterium, Leptospirillum ferriphilum, and explore the impacts of initial Fe(II) concentration on the bioleaching kinetics of zinc retrieval from sphalerite concentrate. L. ferriphilum strain was successfully isolated from Chitradurga mine, Karnataka, India, and molecular techniques for DNA sequencing were applied. The obtained nucleotide sequence was deposited to GenBank and accession number KF743135 was granted. The effect of Fe(II) on the iron-based bioleaching kinetics of zinc leaching using the L. ferriphilum isolate was ascertained under the following experimental conditions: inoculum size, 10% (v/v); bioleaching period, 20 days; system temperature, 301±2 K; initial pH, 3; pulp density 5% (w/v); and Fe(II) concentration in the medium, 1–9 g/L. The results demonstrated that efficiency of bioleaching was highly influenced by concentration of Fe(II) and maximized yield of 87.85% zinc was obtained at 7 g/L. The kinetic study specify that the rate constant estimations of zinc biosolubilization were moderately high at 7 g/L Fe(II), and the kinetic analysis using shrinking core model showed that the leaching rate is constrained by ash layer diffusion step
Structural Health Monitoring of Gantry Girder using Fibre Bragg Grating Sensors
Authors:   Research Scholar.at Noorul Islam Centre for Higher, Kumaracoil, Kanyakumari District, Tamilnadu, INDIA., S Pradeep Kumar. , Beenamol Dr. M. ,   Associate Professor in the Department of Civil Engineering at Noorul Islam Centre for Higher, Kumaracoil, Kanyakumari District, Tamilnadu, INDIA.
Published: November 2019

Most of the industries have an in-build overhead crane that helps in lifting and transportation of heavy loads from one location of work place to another. Gantry girders are provided to support the loads transmitted through the moving wheels of the overhead cranes. The paper presents the structural health monitoring (SHM) practices that can be implemented for damage detection of gantry girder using Fiber Bragg Grating (FBG) sensors that are positioned on the key parts of the crane. The sensor is designed for monitoring the stress and strain of the girder. The alternating stress was determined based on distributed fiber bragg grating strain sensors. The analysis of the signals based on finite element (FE) models helps to determine the safety condition of the crane.
3D Puppets Animation for Encouraging Character Education and Culture Preservation in Surakarta
Authors:   Faculty of Art and Design, Institut Seni Indonesia (ISI) Surakarta, Indonesia., Heriwati* S H , Prilosadoso B H ,   Faculty of Art and Design, Institut Seni Indonesia (ISI) Surakarta, Indonesia., Pujiono B ,   Faculty of Art and Performing, Institut Seni Indonesia (ISI) Surakarta, Indonesia., Suwondo  ,   Faculty of Art and Performing, Institut Seni Indonesia (ISI) Surakarta, Indonesia, Panindias A N ,   Faculty of Art and Design, Institut Seni Indonesia (ISI) Surakarta, Indonesia.
Published: November 2019

The creation of this art is an effort to preserve traditional arts, especially wayang kulit (shadow puppets) and as a medium for character education for the younger generation as a solution to the phenomenon of increasingly intense globalization in the present, wherein the increasingly fragile condition of the nation's morality with the increasingly hedonism and individualistic culture of life in the younger generation in Surakarta. This art creation research method is descriptive qualitative located in the Surakarta and surrounding areas, data sources include the puppet show itself, literature, and competent informants and related art creation. Stages of analysis from various sources resulting from information from both the literature review and interviews were conducted using an interactive model, where each component of the analysis included the stages of data collection, data reduction, presentation and conclusion drawing. Next is the process of designing puppet show art with a collaboration of 3Dimensi animation through several stages, namely: Envisioning Phase, Planning Phase, Developing Phase, Stabilizing Phase, and Deploying Phase. Stages of wayang kulit story selection are adjusted to the segmentation of the younger generation of viewers and the current state of society in the community, the drafting of customized shadow puppet performances and collaborations with 3Dimensional Animation technology, and the selection and design of prototypes of wayang kulit figures as intermediary characters. puppet animation 3D dimensions.
Introduction of Digital Technologies in Organization And Management of Regional Passenger Transportation
Authors:   The Schools of Finance, the Research University Higher school of Economics, Moscow, Russia., Ivanov* Victor , Hmelchenko Elena ,   Public and Municipal Administration, "State University of Management", Moscow, Russia., Koroleva Nonna ,   Department of economic policy and economic measurements, State University of Management, Moscow, Russia., Sokolova Svetlana ,   Department of State and Municipal Administration, State University of Management, Moscow, Russia., Ubushaeva Bayrta ,   Department of public administration, "State University of Management", Moscow, Russia.
Published: November 2019

Digital technologies from an unknown phenomenon in the hands of advanced scientists have passed into an urgent need with which most modern people can no longer part either at home or in the framework of their work processes. Huge robotic productions have already been created and are operating, and automation has become understandable and familiar to all citizens, regardless of their initial education and current age. In our opinion, the key problem today, not so much in new technical systems, there are already quite a few of them, but in a completely different level of its use corresponding to the features and tasks of the digital environment of the fourth industrial revolution, which is primarily determined by new principles of organization and management. German Gref [2] at the INCOSAI Congress, expressed the idea that the world is on the verge of the first revolution of state administration, since its prevailing technologies do not correspond to the realities of the fourth industrial revolution. Moreover, in the framework of the so-called four industrial revolutions of this kind, changes in managerial paradigms took place constantly and in parallel to these events. It remains to add that if we go beyond the usual division of the processes of economic development into 4 industrial revolutions, and consider them more broadly as scientific and technical, then, for example, D. Shmihula [14]) in his works identified 10-11 such periods in History, which correlates with our own research in the framework of the theory of social development (TOR V.V. Ivanova [4]), where the period starting from 2026 (social formation) will be the tenth since the Neolithic revolution - the beginning of the domination of the social development of mankind . And each is determined by its own circle of technological and other innovations, including new approaches to management. These approaches change at such a moment in the most natural way, in connection with the next change to this point at this point in a public (including economic) organization, which requires new management approaches.
Design a nd Development o f Understructure Platform f or Two Seater Micro Electric Vehicle MEV
Authors:   Mechanical Section, Universiti Kuala Lumpur Malaysian Spanish Institute, Kulim Hi-Tech Park, 09000, Kulim, Kedah., Razak* Tajul Adli Abdul , Zawani Mohd Aizat ,   Student, Bachelor of Engineering Technology (Hons) in Mechanical Design, Universiti Kuala Lumpur Malaysian Spanish Institute, Kulim Hi-Tech Park, 09000, Kulim, Kedah., Bakar Muhamad Husaini bin Abu ,   Head of Research and Innovation Section and Director of Systems Engineering and Energy Laboratory, Universiti Kuala Lumpur Malaysian Spanish Institute, Kulim Hi-Tech Park, 09000, Kulim, Kedah, Soid Shahril Nizam Mohamed ,   Mechanical Section, Universiti Kuala Lumpur Malaysian Spanish Institute, Kulim Hi-Tech Park, 09000, Kulim, Kedah., Ismail Nurhuda Binti ,   Lecturer, Politeknik Tuanku Sultanah Bahiyah, Kulim Hi-Tech Park, 09000, Kulim, Kedah., Krishnan Pranesh ,   Intelligent Automotive Systems Research Cluster, Electrical Electronic and Automation Section, Universiti Kuala Lumpur Malaysian Spanish Institute, Kulim Hi-Tech Park, 09000, Kulim, Kedah
Published: November 2019

An understructure platform is also called underbody platform where is a platform that can be divided into three sections which are the rear section that is designed support for the steering system. The mid-section is the main structure of the vehicle that will be a structure protected the battery of the EV and also support the full weight of the passenger and some other components. The rear component is the support for the drivetrain system.
Remotely Monitoring of Health using Fitband
Authors:   Electronics and Telecommunication, Bharati Vidyapeeth’s College of Engineering For Women, Pune, India., Payal* Dhore , Sushilkumar Prof. Dr.Rajbhoj ,   Electronics and Telecommunication, Bharati Vidyapeeth’s College of Engineering For Women, Pune, India.
Published: November 2019

This paper gives monitoring of health of user done remotely using fitband. It can done remotely with the help of bluetooth. The system takes the user data and analyze the data. The system also recommend the user if unusual activity is found out. With the help of DHT11 the system measures sweat and temperature of user’s body. With the help of accelerometer ADXL335 step count is counted. With the help of step count, distance travelled and calories burnt can be easily calculated. All these data is then transferred to application which is built in mobile terminal. Mobile terminal and fitband is connected through wirelessly using bluetooth.
Islanding Detection o f Distributed Generat ion In The Presence Of Fault Events With C ritical Load And Non Critical Load
Authors:   Department of Electrical Engineering, Government engineering college, Aurangabad, India., Waghare* Kirti R. , Bhasme Dr. N. R. ,   Department of Electrical Engineering, Government engineering college, Aurangabad, India.
Published: November 2019

Incredible growth in demand for electricity with reliable, eco-friendly and efficient power has motivated the use of Distributed Generation (DG) all over the world. The problems associated with distributed generation system is unintentional islanding which causes power quality issues in the grid. During islanding operation, renewable energy sources such as solar, wind are used as distributed generation sources, supplies power to the local area. Islanding detection can be divided into remote and local methods; the later method is again classified into passive and active methods. In this paper, Passive technique is used for detecting the islanding condition which is carried out by controlling parameters like voltage and frequency. This is modeled and simulated in MATLAB/Simulink software.
Professional Liability Insurance Fund in the Tourism Services Industry
Authors:   Russian State Social University (RSSU), Moscow, Russian Federation., Savtsova* Natalya Aleksandrovna , Lenkovskaya Renata Romanovna ,   Russian State Social University (RSSU), Moscow, Russian Federation., Neznamova Alla Andreevna ,   Russian State Social University (RSSU), Moscow, Russian Federation.
Published: November 2019

The article deals with the features of operation of professional liability insurance fund in the tourism services industry. The authors review the foreign countries’ practice and the Russian practice on travel insurance for tourists. Particular attention is paid to insurance activities of famous foreign assistance companies. The references to overseas experience for national insurance companies are made. Statistical data concerning the tourists travelling through Europe and their requests of insurance products. The authors point out that tourists’ low-level awareness characterizes the domestic travel insurance in Russia. The most significant provisions of amendments of the Law on the framework of tourism containing the new approach to respect for the tourists’ rights in overseas trip insurance are examined.
Mulberry Leaf Disease Detection using Deep Learning
Authors:   Assistant Professor in SRM Institute of Science and Technology in Ramapuram, Chennai, Tamil Nadu, India., Hema D.Deva , Dey Sougata ,   pursuing B. Tech degree in Computer Science and Engineering from SRM Institute of Science and Technology, Chennai, Krishabh  ,   B.tech Computer science Engineering student at SRM institute of science and technology, Chennai., Saha Anubhav ,   is currently pursuing B.Tech in the field of Computer Science and engineering in SRM Institiute Of Science and Technology, Ramapuram.
Published: November 2019

Disease diagnosis and classification in a mulberry plant using deep learning is an interesting technique which can be useful for farmers and researchers to identify and classify diseases. It helps to manage plant pathogens within fields effectively and automatically at a minimal cost. Major mulberry diseases usually express their symptoms on leaf area at the early stage of infection. Infections can be analysed and classified by processing the image using a computer or machine using different algorithms to interpret the information. This paper gives us a brief knowledge of mulberry leaf diseases which is used for automatic detection of disease. It presents in detail that the algorithm and techniques which are involved in classification based on different criteria for image segmentation. Our goal is to develop a more suitable deep algorithm for our task. These convolutional layers are mostly used for image processing. The system identifies and classify mulberry leaf diseases effectively with complex scenarios from the affected areas using CNN.
Denoising of Electrocardiogram Based on Norm Parameter using Wavelet Packet Transform
Authors:   Department of Mathematics, Maulana Azad National Urdu University, Hyderabad, India., Dr Afroz*  , Wani Imtiyaz Ahmad ,   Department of Mathematics, Maulana Azad National Urdu University, Hyderabad, India.
Published: November 2019

The electrocardiogram is an electrical activity of the human heart and it is mainly used in the diagnosis of different diseases associated with the human heart. In the medical field, it is also known as electrophysiological activity of the human heart. During its recording an unwanted noise known as artifacts is getting contaminated into it, this creates an obstruction in its clinical analysis. As for application of wavelet analysis is concerned, it is then fit to mention that denoising of ECG is effectively done by wavelet tools, so that identification of hidden diseases of the patient becomes possible. In this research article an algorithm is proposed for denoising ECG signal by applying a wavelet transform popularly known as wavelet packet transformation and three wavelet functions: Haar Wavelet, Db-3 Wavelet and Coiflet-3 Wavelet. The performance of this algorithm is studied on the basis of constraints popularly known in the mathematical field as Signal to Noise ratio (SNR), Norm 1 and Norm 2. This algorithm is first applied in deciding the optimum level of decomposition applied to the ECG recording No. S10m.mat, then a comparative study is laid down for a sample of 10 ECG recordings obtained from MIT-BIH database available on www.physio.net.
Development of Part of Speech Tagger Using Deep Learning
Authors:   Department of Computer Science, Banasthali Vidyapith, India., Singh* Aarti , Verma Charu ,   Department of Computer Science, Banasthali Vidyapith, India., Seal Swagata ,   Department of Computer Science, Banasthali Vidyapith, India., Singh Varsha ,   Department of Computer Science, Banasthali Vidyapith, India.
Published: November 2019

Part of speech tagging is the initial step in development of NLP (natural language processing) application. POS Tagging is sequence labelling task in which we assign Part-of-speech to every word (Wi) which is sequence in sentence and tag (Ti) to corresponding word as label such as (Wi/Ti…. Wn/Tn). In this research project part of speech tagging is perform on Hindi. Hindi is the fourth most popular language and spoken by approximately 4billion people across the globe. Hindi is free word-order language and morphologically rich language due to this applying Part of Speech tagging is very challenging task. In this paper we have shown the development of POS tagging using neural approach.
Forecasting D evelopment of E conomic P rocesses using A dapted N onlinear D ynamics M ethods
Authors:   Department, Name of the affiliated College or University/Industry, City, Country, Kumratova* Alfira , Popova Elena ,   Department, Name of the affiliated College or University/Industry, City, Country, Temirova Lilija ,   Department of mathematics, North-Caucasian State Academy, Cherkessk, Russia., Shaposhnikova Olga ,   Department of mathematics, North-Caucasian State Academy, Cherkessk, Russia.
Published: November 2019

In this work authors propose using adapted nonlinear dynamics methods to prepare time series data for the forecast procedure in order to identify chaotic dynamics and to select forecast methods and models. Each step of the proposed set of methods for data preprocessing allows us to put forward proposals on certain properties of the studied time series. This, in turn, proves that to obtain reliable and reasonable conclusions about the type of behavior of the investigated system, the results of one of the many existing tests are not enough. Conducting a comprehensive analysis, will most correctly determine the type of behavior of the time series and its characteristics, which will make it possible to obtain a reliable forecast in the future.
Integrated Operations another Tool for Achieving Operational Excellence in the Oil and Gas Sector
Authors:   Faculty of Technology Management and Business, UniversitiTun Hussein Onn Malaysia, Tasmin Rosmaini , Muazu Muazu Hassan ,   Dangote Business School, Bayero University Kano, Nigeria, Woon Lai Fong ,   Faculty of Management and Humanities, Universiti Technology Petronas, Malaysia, Takala Josu ,   Faculty of Technology and Innovations, University of Va’asa, Finland
Published: November 2019

Activities of the oil and gas sector operations are highly complex, from oil rigs to refining and transportation. It is against this backdrop that companies opt for operational excellence to control the complexities, of which failure to manage the situation, assets, peoples and profit could be lost. This paper is aimed at determining how integrated operations influences operational excellence in the oil and gas sector. This is with a view to help in facilitating effective operational excellence implementation in the oil industry. Quantitavive survey research approach was adopted, questionnaire was used to collect data from 120 respondents. The result shows that all the postulated integrated operations factors have significant effect on operational excellence. It concludes that integrated operations are the way forward for condition monitoring and maintenance of oil sector assets, people and process for optimising production, operational efficiency, reduced health and safety risks and environmental performance.
A Systematic Inspection into the Criteria of Lecturer Performance in Educational Domain
Authors:   College of Graduate Studies, Universiti Tenaga Nasional Jalan Ikram-UNITEN, Kajang, Selangor Darul Ehsan, Malaysia, Al-Masri Osama H. , Drus Sulfeeza Mohd ,   Department of Information Systems, Universiti Tenaga Nasional Jalan Ikram-UNITEN, Kajang, Selangor Darul Ehsan, Malaysia, AlDalaien Ahmad Aabed Al-Hayy ,   College of Graduate Studies, Universiti Tenaga Nasional Jalan Ikram-UNITEN, Kajang, Selangor Darul Ehsan, Malaysia
Published: November 2019

This paper is to survey researchers’ efforts in response to the most number of criteria of lecturers’ performance into various domains, connecting the research insights from the literature into a consistent taxonomy, and figuring out the gaps on this vital research area. The fundamental search is relating to 1) personnel evalaution especially lecturer; 2) education-related; 3) criteria and applications (methods). Web of Science, ScienceDirect, and IEEE Xplore are reliable sources that can cover education and technical literature. The final number of studies is 78. Five articles are reviews to characterize the evaluation criteria for specific specializations. An another group (73/78) is research articles that include diverse evaluation criteria and domains. Most domains covered criteria, such as knowledge, skills, experience, and qualification.
Barriers for Digital Game-Based Learning Teaching Method: A Performance on Primary School Malay Historical Subject
Authors:   Faculty of Computer and Mathematical Sciences, UniversitiTeknologi MARA, Shah Alam, Selangor, Malaysia.Institute of Malay Thoughts and Leadership (IMPAK), UniversitiTeknologi MARA, Shah Alam, Selangor, Malaysia, Mokhsin Mudiana , Zainol Amer Shakir ,   Faculty of Computer and Mathematical Sciences, UniversitiTeknologi MARA, Shah Alam, Selangor, Malaysia, Som Mohd Husni Mohd ,   Faculty of Art and Design, Science, UniversitiTeknologi MARA, Shah Alam, Selangor, Malaysia.Institute of Malay Thoughts and Leadership (IMPAK), UniversitiTeknologi MARA, Shah Alam, Selangor,Malaysia, Kamarulzaman Umaimah ,   Institute of Malay Thoughts and Leadership (IMPAK), UniversitiTeknologi MARA, Shah Alam, Selangor, Malaysia, Foad Nur Athirah Ahmad ,   Faculty of Computer and Mathematical Sciences, UniversitiTeknologi MARA, Shah Alam, Selangor, Malaysia. Institute of Malay Thoughts and Leadership (IMPAK), UniversitiTeknologi MARA, Shah Alam, Selangor, Malaysia
Published: November 2019

History subjects are often connected with the traditional and teacher-centered learning which is not a very effective method. The learning and teaching technique of history subject is static, and students easily lost their interest to memorizing the facts. From the preliminary study towards the primary school history teacher, they stated that history subject was very challenging subject to be taught since it was difficult to attract the pupils to imagine and appreciate the Malay History era. The study aims to highlight how teaching by using Digital Game-Based Learning (DGBL) can be applied as one of the techniques to improve history subject teaching method. This aim was achieved by answering three research objectives, 1)identifying the current practice among the teacher in teaching Malay Historical Subject, 2)investigating the teachers' perceptions toward using DGBL and 3) determining the barriers that influence teachers towards using DGBL in teaching Malay Historical Subject. The study was conducted together with 35 primary school Malay historical subject teachers in Malaysia. Prototype evaluation was conducted using one to one testing with 14 participants. A part of the study requiredthe participants to rank 20 prospective barriers identified as obstacles to digital game-based learning.
Conceptualising Mobile Apps Usability Dimension: A Feasibility Assessment of Malaysian Industrial Practitioners
Authors:   Universiti Putra Malaysia, Hazura Zulzalil , Hazwani Rahmat ,   Universiti Tun Hussein Onn Malaysia, Azim Abd Ghani Abdul ,   Universiti Tun Hussein Onn Malaysia, Azrina Kamaruddin ,   Universiti Tun Hussein Onn Malaysia
Published: November 2019

This paper proposes a usability measurement forevaluating mobile applications. The measurement incorporates usability viewpoint of both, usability specialist and non-usability expert. The resulting usability measurements were validated through a survey of 113 industrial practitioners in Malaysia. Cronbach alpha of .952 reveals that the survey response is consistent and reliable. Hypothesis testing using a Chi-square goodness of fit indicates that the usability measurements were significantly feasible for real practice with p<.000.Mobile usability studies previously conceptualised usability from HCI perspective (e.g. usability attribute and heuristics), constraints and limitations of mobile devices. On the contrary, this paper characterise usability by integrating design features of mobile application through usability features, and quality attributes through usability criteria, in conceptualising apps usability dimension.
Validation of RP-SPF Framework: A Systematic Method for Requirements Reuse in Software Product Lines
Authors:   Abubakar Tafawa Balewa University, Bauchi, Ya’u Badamasi Imam , Nordin Azlin ,   International Islamic University Malaysia, Salleh Norsaremah ,   International Islamic University Malaysia
Published: November 2019

Reuse of requirements is crucial activity in software development especially across software product line engineering (SPLE), which involves two main processes known as domain engineering and application engineering. With these two processes SPLE enables systematic reuse of requirements through proper planning and development. This paper presents methodology and result of survey of experts for validating a proposed systematic requirement reuse approach named requirements pattern for software product families (RP-SPF) framework. During the survey, 14 experts in requirements engineering (RE), SPLE and software development responded and gave their opinions on RP-SPF framework. The result of the survey shows that RP-SPF approach is suitable and can effectively improve requirements engineering activities of SPLE.