bluuebunny/crossref_metadata_2025 huggingface dataset:
Monitoring and Controlling Various Factors for Maize Cultivation using IOT and ML
Authors:   Assistant Professor, Department of Computer Science Engineering SRM Institute of Science & Technology Chennai, India, V Arun , Podder Oandrilla ,   Department of Computer Science Engineering SRM Institute of Science & Technology Chennai, India, Arya Tejal ,   Department of Computer Science Engineering SRM Institute of Science & Technology Chennai, India, Sharma Pratyaksh ,   Department of Computer Science Engineering SRM Institute of Science & Technology Chennai, India
Published: November 2019

Sensors are global devices that are frequently used to detect and respond to electrical or optical signals. The sensors convert the physical variables. Generally they are to sense all materials, have fast response time, are cost effective and are quite predictable. However there are distance limitations, requires physical contact with target and are quite sensitive to extreme environmental changes. Monitoring and controlling environmental factors is a major factor to improve the yield of maize, which is our area of concern. The system includes monitoring temperature, humidity, water level, pH and the level of chemicals present. A single Raspberry-pi board is programmed to sense and monitor the system. The sensed values of the sensors are viewed on a LCD display. The critical and the desired ranges are fed as a database in excel sheet. Looking on to the results obtained from the sensors, the values in the database, and putting Logistics Regression Algorithm to use, smart predictions are done to display the information required to the farmer for efficient cultivation of the crop. Considerably, by the connections through multi-core processor, the system deliberately connects and improves the network among the sensors, which are connected to the processor to get better data transmission. An increase in product quality and quantity is achieved by following the above mentioned system.
Wide Band Parasitic Microstrip Antenna using Multiple Feedline for Mobile Communication
Authors:   Department of Electrical Engineering Universitas Trisakti, DKI Jakarta, Indonesia., Alam Syah , Surjati Indra ,   Graduate Prograne of Ekectrical Engineering, Universitas Trisakti, DKI Jakarta, Indonesia., Sari Lydia ,   Graduate Prograne of Ekectrical Engineering, Universitas Trisakti, DKI Jakarta, Indonesia., Ningsih Yuli Kurnia ,   Graduate Prograne of Ekectrical Engineering, Universitas Trisakti, DKI Jakarta, Indonesia.
Published: November 2019

This paper proposes design of parasitic microstrip antenna with multiple feed line for mobile communication applications at range frequency of 1800 – 2100 MHz. The purpose of adding multiple feed line is to enhanced the bandwidth of the proposed antenna. The multiple feed line used has an impedance of 100 Ohm and is placed on the edge of the patch parasitic microstrip antenna. The optimal bandwidth of the microstrip antenna is obtained by adjusting the dimensions and position of the multiple feed line. From the measurement results obtained return loss of -14.91 dB, VSWR of 1.44 at working frequency of 1800 MHz and bandwidth of 427 MHz with a frequency range 1715 MHz - 2142 MHz. . From these results it can be concluded that the banwidth of proposed antenna has met the criteria to be used in a mobile communication system.
Optimization of Parameters of a Multifunctional Unit Based on a Spring Harrow
Authors:   Department of operation machine and tractor park, Kuban State Agrarian University named after I.T. Trubilin, Krasnodar, Russia., Maslov* Gennady , Lavrentiev Valery ,   Kuban State Agrarian University named after I.T. Trubilin, Krasnodar, Russia., Tsybulevsky Valery ,   Department of tractors, cars and technical mechanics, Kuban State Agrarian University named after I.T. Trubilin., Yudina Elena ,   Department of operation machine and tractor park, Kuban State Agrarian University named after I.T. Trubilin, Krasnodar, Russia., Tkachenko Vasily ,   Department of operation machine and tractor park, Kuban State Agrarian University named after I.T. Trubilin, Krasnodar, Russia.
Published: November 2019

The article proposes a mathematical model and an algorithm for optimizing the parameters developed by the authors of a multifunctional tillage unit based on a spring harrow with simultaneous application of solid mineral fertilizers. Using the optimization criterion, the minimum reduced costs for the implementation of the technological process of soil harrowing with the introduction of mineral fertilizers by the proposed multifunctional unit, its parameters and operation mode are substantiated. The principal distinguishing features of the working body of the spring harrow are described in accordance with the RF patent for utility model.
Color Image Segmentation without any Information Loss
Authors:   CURIN, Chitkara University, Rajpura,Punjab,India., Haque* Mohd. Junedul , Ahuja* Rakesh ,   CURIN, Chitkara University, Rajpura,Punjab,India., Ahuja Sachin ,   CURIN, Chitkara University, Rajpura,Punjab,India.
Published: November 2019

We can partition the background from foreground and locate the objects of interest using image segmentation techniques. In other words we can say image segmentation is the process of grouping adjacent pixels in to segments. In this research we proposed a model which can differentiate maximum and minimum frequencies for both color and grayscale images without any information loss. After getting the result of both images, we will check which (gray scale image or color image) gives better performance to the image segmentation techniques. So, here we will take the two techniques edge detection and threshold. This research gives better result of segmentation by using the relationship discontinuous and similar pixel values.
Factors that Influence Actual Buying Behavior of Organic Food Products in Indonesia
Authors:   pursuing her Doctoral degree in Research Management from Bina Nusantara University, Jakarta, Indonesia., Handranata Yunita Wijaya , Dewi  ,   Information Systems at Bina Nusantara University, Jakarta, Indonesia, Murbarani Kunti ,   Bachelor degree in Business Management from Bina Nusantara University, Jakarta, Indonesia
Published: November 2019

This paper investigates the factors that influence purchasing behavior of organic food in Indonesia. Data were obtained by distributing questionnaires in April-June 2018 to 106 consumers who had bought organic food in the past. Data was analyzed using Structural Equation Modeling (SEM). This study examines the factors that influence the actual buying behavior of organic food products such as health awareness, knowledge of organic food, subjective norms, perceived price and availability. In addition, attitude towards organic food and purchase intention was also tested as a medium for these five factors to influence actual buying behavior. Socio-demographic factors were also tested to determine their influence. The results showed that health consciousness and availability affected people's behavior towards organic food. This behavior is then proven to affect purchase intention which also affects actual buying behavior. With this research, it is expected to be able to explore the interest of Indonesian people to improve health and help marketers of organic food.
An Effective System of Intrusion Detection on Deep Neural Network by Hybrid Optimization in Cyber Security
Authors:   Research-Scholar, Department of Computer Science and Engineering, Sri Satya Sai University of Technology & Medical Sciences, Bhopal, M. P. India., Bhaskar* A. Thupakula , Hiwarkar B. Dr.Tryambak ,   Professor, Department of Computer Science and Engineering, Sri Satya Sai University of Technology & Medical Sciences, Bhopal, M. P. India., Ramanjaneyulu C. Dr.K. ,   Professor, Department of ECE, Prasad V. Potluri Siddhartha Institute of Technology, Vijayawada, A. P. India.
Published: November 2019

In present trends organizations are very much interested to protect data and prevent malware attack by using well flourished and excellent tools. Many algorithms are used for the intrusion detection system (IDS) and it has pros and cons. Here we proposed a novel method of intrusion detection using hybrid optimization techniques such as Gravity search algorithm with gray wolf optimization (GSGW). In this method the gray wolf technique has a leader for the continuous monitoring of the attacker and has a low false alarm rate and a high detection rate. The performance evaluation is done by the feature selection in NSL-KDD dataset. In the proposed method the experimental result reveals less false alarm rate, better accuracy and high Detection when compared to previous analysis.
Design and Analysis of 4 Kw Srm Drive for Air-Conditioned Pwm Rectifier and Buck-Boost Pfc Converter
Authors:   Professor, EEE Dept., GCET, Kadapa, Affiliated to JNTUA, A.P, India, Subbamma Mrs. M. Rama , Madhusudhan Dr. V. ,   Professor, EEE Dept, VNRVJIET, Bachupalli, Hyderabad, Telangana, India, Sujatha Dr. P. ,   Professor, Department of E.E.E, JNTUCE, Anantapur, A.P,India
Published: November 2019

In domestic applications like air conditioners Buck or Cuk converter fed by Permanent Magnet Brushless DC Motors (PMBLDCM) are applicable in literature. Due to drawbacks of economical factor and non availability of permanent magnets these motors are not preferable in these days and are compensated by using Switched Reluctance Motor (SRM) as it has benefits of simple design and low cost. For domestic applications accessible input is AC, a diode bridge rectifier is a simple way of converting AC to DC but it produces lower order harmonics, a low power factor on supply side and variable DC on DC side. In order to overcome this problem PWM rectifier and Buck-Boost Converters are proposed for harmonic mitigation and power factor modification. This paper describes the design analysis (calculations) of 200V, 4KW, 2500 RPM 6/4 pole SRM. Analysis is carried out for SRM drive in air-conditioner (ac) application with PWM rectifier and Buck-Boost converter (BBC) for Power Factor Correction and harmonic mitigation. In proposed work the analysis was carried out for 6/4 SRM with various conditions like initial condition, step variation in dc link voltage, at fixed DC link voltage and variation in source voltage. MATLAB/SIMULINK model of SRM drive for different conditions said above were developed and results were also discussed in this paper. Voltage and current waveforms representing power factor is shown for the SRM drive system with PFC- PWM rectifier and Buck Boost converter. Comparison between proposed converters fed SRM and existing converters like Buck, Cuk converter fed PMBLDCM and Zeta converter fed SRM were given along with their THD. THD was reduced and limited within IEEE standards when operating SRM drive with PFC converter.
Top-k High Utility Itemset Mining Framework by using TKU Along with TKO Algorithms
Authors:   Professor, Department of Computer Science and Engineering, Chameli Devi Group of Institutions, Indore, Madhya Pradesh, India, Singh* Dr.Manmohan , Pathak Prashant ,   Assistant Professor, Department of Computer Science, Tilak Maharashtra Vidyapeeth, Gultekdi, Pune, Maharashtra, India
Published: November 2019

High utility itemsets (HUIs) mining be developing point within in sequence mining, which alludes toward discovering the entire itemsets contains utility assembling consumer verified slightest utility farthest point minutil. In any case, setting minutil fittingly is a problematic issue for customers. When in doubt, discovering reasonable smallest amount utility farthest point through testing be repetitive methodology intended for customers. On off chance to minutil be place excessively small, such countless HUIs determination exist made, which may make mining technique survive uncommonly incompetent. Additional supply taking place, condition minutil be place unnecessarily, we do not find any HUI. Within term document, we deal with the exceeding concerns through planning an additional composition in favor of top-k high utility itemset mining, where k be an ideal number of HUIs toward mined. Two arranges about viable counts named TKU (mining Top-K Utility itemsets) plus TKO (mining Top-K utility itemsets within one phase) be planned in favor of mining that itemsets not including require toward position minutil. We provide assistant relationship about two estimations among trades on top of central focuses along with obstacles. Precise appraisals lying on together authentic as well as made datasets shows introduction about proposed computations be close to the perfect case about top tier utility mining estimations.
On the Strong Monophonic Number of a Graph
Authors:   Department of Mathematics, Loyola College, Chennai.. Affiliated to University of Madras, India., Xaveir D.Antony , Thomas Elizabeth ,   Department of Mathematics, Loyola College, Chennai.. Affiliated to University of Madras, India., Mathew Deepa ,   Department of Mathematics, Loyola College, Chennai Affiliated to University of Madras, India., Theresal Santiagu ,   Department of Mathematics, Loyola College, Chennai.. Affiliated to University of Madras, India.
Published: November 2019

For a connected graph of order at least two, the strong monophonic problem is to determine a smallest set of vertices of such that, by fixing one monophonic path between each pair of the vertices of all vertices of are covered. In this paper, certain general properties satisfied by the strong monophonic sets are studied. Also, the strong monophonic number of a several families of graphs and computational complexity are determined. AMS Subject Classification: 05C12, 05C82
Real Time Static Gesture Recognition using Time of Flight Camera
Authors:   School of Computer Engineering & Technology, MIT World Peace University,Kothrud,Pune. Country., Lokhande Dr. Netra
Published: November 2019

Hand gesture recognition is challenging task in machine vision due to similarity between inter class samples and high amount of variation in intra class samples. The gesture recognition independent of light intensity, independent of color has drawn some attention due to its requirement where system should perform during night time also. This paper provides an insight into dynamic hand gesture recognition using depth data and images collected from time of flight camera. It provides user interface to track down natural gestures. The area of interest and hand area is first segmented out using adaptive thresholding and region labeling. It is assumed that hand is the closet object to camera. A novel algorithm is proposed to segment the hand region only. The noise due to ToF camera measurement is eliminated by preprocessing algorithms. There are two algorithms which we have proposed for extracting the hand gestures features. The first algorithm is based on computing the region distance between the fingers and second one is about computing the shape descriptor of gesture boundary in radial fashion from the centroid of hand gestures. For matching the gesture the distance between two independent regions is computed for every row and column. Same process is repeated across the columns. The number of total region transitions are computed for every row and column. These number of transitions across rows and columns forms the feature vector. The proposed solution is easily able to deal with static and dynamic gestures. In case of second approach we compute the distance between the gesture centroid and shape boundaries at various angles from 0 to 360 degrees. These distances forms the feature vector. Comparison of result shows that this method is very effective in extracting the shape features and competent enough in terms of accuracy and speed. The gesture recognition algorithm mentioned in this paper can be used in automotive infotainment systems, consumer electronics where hardware needs to be cost effective and the response of the system should be fast enough.
Construction of Fuzzy Control Chart with Multinomial Quality using Process Capability
Authors:   Associate Professor & Head,Statistics at Salem Sowdeswari College, Tamilnadu, India, Nanthakumar C. , Kumar R.Dilip ,   Associate Professor of Statistics at Salem Sowdeswari College, Tamilnadu, India.
Published: November 2019

Control charts are the effective and quietest form of statistical process control methods. Many of the times, data are obtained in quantitative form; however there are many quality characteristics that cannot be expressed in numerical measure, such as characteristics for appearance, smoothness and colour, etc. Fuzzy sets theory is an impressive mathematical methodology to evaluate the vagueness related uncertainty that can linguistically express data in these situations. In this paper, we construct a fuzzy control limits under fixed and varying sample size with various quality levels for observing a manufacturing process based on the multinomial distribution using degrees of membership and process capability.
Tuning Linearization Transformation using Back-Propagation Algorithm
Authors:   Centre for Automation and Robotics, Hindustan Institute of Technology and Science, Chennai, Tamil Nadu, India., Janakiraman* S , Devanathan Rajagopalan ,   Department of Electrical and Electronics, Hindustan Institute of Technology and Science, Chennai, Tamil Nadu, India.
Published: November 2019

The objective of linearization of a nonlinear system is to ensure smooth control of the linearized system through well-proven linear control methods. However, residual nonlinearities may still be present in a system after linearization either by design or due to mismatch between the system model and the actual plant. If the residual nonlinearities are not very significant, one can attempt to remove these by tuning the linearizing transformation by comparing the system to a linear canonical form. In this paper, we show how quadratic linearizing transformations of a three-phase horizontal gravity separator (TPS) model derived in an earlier paper by the authors can be tuned as in a neural network using error back-propagation by comparing it to a canonical linear model thus removing the nonlinearities within the tuning error limit.
Information and Communication Technology: Social Networking Sites in Career Centers in Vocational High Schools
Authors:   Post Graduate Program, Universitas Negeri Yogyakarta, Yogyakarta, Indonesia., Meldianto Efri , Sukardi  ,   Faculty of Engineering, Universitas Negeri Yogyakarta, Yogyakarta, Indonesia., Rohmantoro Didik ,   Faculty of Teacher Training and Education, Universitas PGRI Yogyakarta, Yogyakarta, Indonesia.
Published: November 2019

This study aims to analyze information and communication technology used by career center institutions in vocational high schools. Career centers in vocational high schools are institutions whose job is to manage graduates by conveying important information about employment. The method used in this research is descriptive. This research involved 9 vocational high schools. Respondents in this study are the heads of career center institutions in vocational high schools. The selection of vocational high school research samples uses the Stratification Sampling technique. The tool used to collect data is a questionnaire. The results of the study found that at career centers in vocational high schools do not use SMS gateways in conveying information, using websites by 43%, tweeters by 71%, yahoo mail and Gmail by 0%, Instagram by 100%, Facebook by 100%, telegrams by 19%, and WhatsApp by 100%. The advantage obtained from the use of social media in vocational high schools is the ease of use criteria with a value of 96%, the ease of interacting with alumni criteria is obtained a score of 92% and the student response criteria of 78%. While the use of social media has disadvantages including students giving responses that are not following the information provided, must be prepared to answer many questions raised by students, and can create content to deliver on social media.
Deadline Constrained based Resource Allocation in Cloud Environment
Authors:   Professor, Department of Computer Science and Engineering, School of Computing, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Chennai-600062, Tamil Nadu, India., Malarvizhi* N. , J Aswini. ,   Research Scholar, Department of Computer Science and Engineering, Meenakshi Academy of Higher Education and Research, Chennai – 600 069, Tamil Nadu, India., Kumanan T. ,   Professor,Department of Computer Science and Engineering, Meenakshi Academy of Higher Education and Research, Chennai – 600 069, Tamil Nadu, India.
Published: November 2019

Cloud computing faces a challenge of handling huge amounts of data. The users keep on pushing the data without knowing the challenge in increased storage. Task Scheduling deals with allocating the task to a respective resource pool on a demand basis. Approaches have been built that handle requests from users with deadlines on the amount of request that can be handled. It is important to understand that the mechanism is available to handle the deadlines. The experimental results show that the proposed algorithm produces remarkable performance improvement rate on the total execution cost and total transfer time under meeting the deadline constraint. In view of the experimental results, the proposed algorithm provides a better-quality scheduling solution that is suitable for scientific application task execution in the cloud computing environment.
Dyeing Properties of Banana Fibre Dyed with Different Dyes
Authors:   Department of Textile Engineering, Jashore University of Science and Technology, Jashore-7408, Bangladesh, Islam* Tarikul , Karim Md. Rezaul ,   Port City International University, Chittagong-4225, Bangladesh, Roy Mowshumi ,   Department of Textile Engineering, National Institute of Textile Engineering and Research, Savar, Dhaka-1350, Bangladesh., Islam Md. Safiqul ,   Department of Textile Engineering, Port City International University, Chittagong, Bangladesh., Jayed Habibullah Mohammad ,   Department of Textile Engineering, Port City International University, Chittagong-4225, Bangladesh., Barua Pallab ,   Department of Textile Engineering, Port City International University, Chittagong-4225, Bangladesh.
Published: November 2019

The popularity of Sustainable clothing is increasing day by day. Consumers are more interested to consider sustainable clothing design on their daily basis fashion but it is expensive to produce sustainable clothing, as there are less availability of natural fiber. Banana fiber is highly available and it can be a great source of sustainable clothing to meet the consumer demand and banana fiber can be a replacement of cotton fibre. The aim of this project work is to observe the dye ability of banana fiber with synthetic dyes such as vat, acid, basic and reactive dyes were studied. Before dyeing, scouring and bleaching of banana fiber was done and whiteness index was measured. Finally after dyeing, color fastness to wash, color fastness to rubbing was examined.
A Modified LUO Converter for Hybrid Energy System FED Grid Tied Inverter
Authors:   Assistant Professor, Vel Tech Rangarajan Dr.Sagunthala R&D Institute of Science and Technology, Chennai., Vinoth K. , Babu Dr. M. Ramesh ,   Assistant Professor, Vel Tech Rangarajan Dr.Sagunthala R&D Institute of Science and Technology, Chennai.
Published: November 2019

A novel topology of a hybrid grid connected topology based on photo voltaic system and permanent magnet synchronous generator is proposed in this paper. In this grid connected inverter topology the source are connected to the grid with the help of multi input modified LUO converter followed by a single phase three level inverter. Thus compared to the conventional schemes the proposed topology is modeled with the help of reference frames includes direct axis and quadrature axis elements. The modified LUO converter inherits the advantages compared to other DC-DC to converter topologies. The fuzzy logic based MPPT algorithm shows excellent performance under various testing conditions. The PWM generators are used to trigger the inverter and LUO converter. Steady state and transient response of the controllers are discussed and implement the excellent operation of the hybrid energy system. The grid current synchronization is achieved by using PI controller also it will reduce the THD and satisfies the IEEE harmonics standard.
The Purposes of Code-Switching and Teachers’ Perceptions toward Code-Switching in Malaysian Primary Schools
Authors:   Department of English, Faculty of Languages and Literature, Shaheed Professor Rabbani Education University, Kabul, Afghanistan., Mohammadi Tawos , Seraj Mohammad Yaqoob ,   Department of English, Faculty of Languages and Literature, Kunduz University, Kunduz, Afghanistan., Ibrahim Hairunnisa ,   English lecturer, University Tun Hussein Onn, Malaysia., Hadi Nurul Farhanah Abdul ,   Master’s student, TEFL, Universiti Teknologi, Malaysia.
Published: November 2019

This particular study is conducted to find out the purposes of teachers' codeswitching in the primary schools, the perceptions of teachers toward using students’ first language in the classrooms, and the amount of the usage of codeswitching in primary schools. A total number of 82 primary school English language teachers from the Johor Bahru state of Malaysia took part in this study. In order to collect comprehensive data from the participants, the researcher applied a mixed-method design. Quantitative data was collected through the Google Form questionnaire, which was sent to the teachers via WhatsApp, and Qualitative data was collected through interviews with five English language teachers of primary schools. The analysis of both types of data showed that the teachers use students’ L1 for three purposes, pedagogical, administrative, and interactional, but mainly students’ L1 was utilized as a pedagogical tool to facilitate language learning and as an administrative strategy to create a less threatening and learner-friendly environment. The results of the study also indicated that the majority of the teachers in the primary schools of Johor switch to students’ L1 to accommodate low proficiency learners and explain difficult concepts such as grammar and vocabulary to the learners. Eighty percent of the participant agreed to minimize the use of L1 in second language learning classrooms.
Low Noise Amplifier Design of CMOS Inductorless with Noise Cancellation Technique
Authors:   ECE Dept. KLEF, Vaddeswaram, Guntur District, Andhra Pradesh, India., Mudavath Mahesh , Kishore K. Hari ,   Professor, ECE Dept. KLEF, Guntur District, Andhra Pradesh, India., Madupu Sanjay ,   Asst, Professor, Vaagdevi Engineering College. Bollikunta, Warangal (T.S), India., Chittireddy Prashanth ,   Asst, Professor, Vaagdevi Engineering College. Bollikunta, Warangal (T.S), India., Bhukya Srinivas ,   Asst. Prof. Sri Indu College of Engg. & Tech. Ibrahimpatnam, Ranga Reddy
Published: November 2019

This article presents the Low Noise Amplifier (LNA) design of CMOS Inductorless with noise cancellation (NC) technique for portable wireless receivers. An Inductorless CMOS LNA for multi-standard wireless applications with less-area, single-chip is presented. This NC technique is used to cancel out the noise involvement in LNAs at the output of matching device. The proposed Inductorless CMOS LNA designed in a CMOS 45nm GPDK technology process. The simulated results within the frequency range of 1.04GHz-1.8GHz are considered here. The maximum gain has achieved 20dB @ 1.04GHz, 23dB @ 1.8GHz and a low NF of 1.2dB @ 1.04GHz, 0.6dB @ 1.8GHz. The input and output reflection coefficients are obtained as less than -10dB it is desirable value to fit in this LNA.
Development of A Low-Cost Arduino-Based 12-Lead Ecg Acquisition System And Accompanied Labview Application
Authors:   Hanoi Open University, Hanoi, Vietnam, Van Son Nguyen , Quang* Duc Trinh ,   Hanoi University of Science and Technology, Hanoi, Vietnam., Hoai Giang Nguyen ,   Hanoi Open University, Hanoi, Vietnam
Published: November 2019

In this paper, the design of a real-time digital multi--channel ECG signal acquisition system is presented. With the purpose of fabrication towards a simple, compact and low-cost tool for bioelectrical signal processing laboratories, the system is developed to acquire the 12 leads EGC signals and converted to numerical data based on an Arduino module named as Leonardo equipped 12 channels ADC. To observe the EGC waves, the ECG signals are amplified through designed amplifiers with the gain of 60 dB. To reduce the effects from the DC component as well as the baseline wandering and the high frequency noise, the active analog bandpass filter ranged in 0,05 Hz to 100 Hz was designed. The power line noise of 50 Hz also decreased with an active analog bandstop filter with attenuation -38 dB. Under the PC application was built using Labview programing, the low-cost digital ECG signal acquisition system was demonstrated with the requirement of observation in real-time. To clarify the small wave in the digital EGG signal, the limitation of the analog signal processing is improved through the digital filters parameterized in the software to increase the SNR from 1.4 dB to 27.6 dB. Practically, the system is evaluated through a series of experiments on a volunteer person resulting the ECG data is recorded and stored in a TDMS file. Since the system is designed as opened-system, a series of developments towards various applications in biomedical diagnosis based on digital signal analysis techniques is promised to be feasible in the near future.
Ways to Assess and Improve the Financial Sustainability of Russian Organizations Development
Authors:   Department of Economic Analysis, Kuban State Agrarian University named after I.T. Trubilina, Russia., Takhumova* Oksana , Ryakhovsky Dmitry ,   Crisis Management and Finance Department in Institute of Economics and Crisis Management, Tax advice Department of the Financial university under the Government of the Russian Federation, Russia., Satsuk Tatyana ,   Head of the Department of Accounting and Audit, Emperor Alexander I St. Petersburg State Transport University, Russia., Kochkarov Rashid ,   Department of Commodity Science and Technology of Public Catering of the Stavropol Institute of Cooperation (Affiliate) ANO VO Belgorod University of Cooperation, Economics and Law, Russia., Mirgorodskaya Olga ,   Department of Economics and Management, Stavropol Institute of Cooperation (Affiliate) ANO VO Belgorod University of Cooperation, Economics and Law, Russia.
Published: November 2019

In the implementation of production activities, the objective condition for the sustainable development of business entities is a comprehensive approach to the analysis of financial indicators of the organization. The problem of ensuring sustainable growth has been relevant for several decades and is the subject of close attention of Western and domestic scientists. The work clarifies the methodological tools relating to the assessment of competitive positions in the domestic market, provided that solvency is maintained. The essence of sustainable development at the macro and micro levels is revealed. The main focus is on the assessment of financial stability indicators as an information base for making effective management decisions. The paper discusses the theoretical foundations of the analysis of liquidity and solvency of companies. The types of the state of liquidity of the balance sheet of the company are clarified. The essence, as well as the relationship of solvency and liquidity, as one of the main areas of the financial condition of the organization is revealed. An algorithm for determining the potential solvency of an organization is presented; a mechanism for increasing the financial return on assets is considered. On the example of the organization of the building complex, the indicators of financial indicators were evaluated, critical values were determined for the studied indicators. A set of measures to improve financial performance is proposed. The presented material may be interesting for the development of public policy instruments for the implementation of the concept of sustainable development of the regional system.
Deep Learning Based Depthwise Separable Model For Effective Diagnosis And Classification of Lung Ct Images
Authors:   Department of Computer Science & Engineering, Annamalai University, Chidambaram., Jayaraj D. , Sathiamoorthy S. ,   Tamil Virtual Academy, Chennai.
Published: November 2019

Lung cancer is a serious illness which leads to increased mortality rate globally. The identification of lung cancer at the beginning stage is the probable method of improving the survival rate of the patients. Generally, Computed Tomography (CT) scan is applied for finding the location of the tumor and determines the stage of cancer. Existing works has presented an effective diagnosis classification model for CT lung images. This paper designs an effective diagnosis and classification model for CT lung images. The presented model involves different stages namely pre-processing, segmentation, feature extraction and classification. The initial stage includes an adaptive histogram based equalization (AHE) model for image enhancement and bilateral filtering (BF) model for noise removal. The pre-processed images are fed into the second stage of watershed segmentation model for effectively segment the images. Then, a deep learning based Xception model is applied for prominent feature extraction and the classification takes place by the use of logistic regression (LR) classifier. A comprehensive simulation is carried out to ensure the effective classification of the lung CT images using a benchmark dataset. The outcome implied the outstanding performance of the presented model on the applied test images.
CNN-based Single-Fault Diagnosis of Self-Priming Centrifugal Pump
Authors:   Department of Mechanical Engineering, V B S Purvanchal University Jaunpur (U.P.)-222001, India, Singh Sandip Kumar
Published: November 2019

CNN is a very powerful deep learning technique for classification when the size of data is significant. It has been observed that it fails to give any reasonable classification when size of the data is small. This paper deals with an enhanced data technique, which is very useful for smaller size of available data. We proposed to increase the size of data to multiple times until a good classification accuracy is acquired. The paper shows that the neural networks perform very efficiently when such type of enhancement is done. It has been elaborated for evaluating the classification of faults of centrifugal pumps. The CNN-2D and CNN-1D yield 100% accuracy for diagnosing the faults of in this case. The performance is also compared with that of ANN. The number of epochs required to reach 100% accuracy for multiple different sizes of data is used to evaluate the performance. The enhanced data approach also shows that there is a drastic fall in overall classification time of CNN.
Performance Evaluation of Gradient Domain and Pyramid Blending Used in Image Stitching Process with ORB Binary Descriptor
Authors:   Electronics and Communication Engineering Department, Madhav University, Pindwara, Rajasthan, India., Patil Venkat P. , Singla Dr. C. Ram ,   Electronics and Communication Engineering Department, Madhav University, Pindwara, Rajasthan, India., Gohatre Umakant B. ,   Electronics and Communication Engineering Department, Madhav University, Pindwara, Rajasthan, India.
Published: November 2019

Panorama development is the basically method of integrating multiple images captured of the same scene under consideration to get high resolution image. This process is useful for combining multiple images which are overlapped to obtain larger image. Usefulness of Image stitching is found in the field related to medical imaging, data from satellites, computer vision and automatic target recognition in military applications. The goal objective of this research paper is basically for developing an high improved resolution and its quality panorama having with high accuracy and minimum computation time. Initially we compared different image feature detectors and tested SIFT, SURF, ORB to find out the rate of detection of the corrected available key points along with processing time. Later on, testing is done with some common techniques of image blending or fusion for improving the mosaicing quality process. In this experimental results, it has been found out that ORB image feature detection and description algorithm is more accurate, fastest which gives a higher performance and Pyramid blending method gives the better stitching quality. Lastly panorama is developed based on combination of ORB binary descriptor method for finding out image features and pyramid blending method.
A Performance on Harmonious Coloring of Barbell Graph
Authors:   Deparment of Mathematics, Sathyabama Institute of Science and Technology, Chennai, India., Selvi M.S. Franklin Thamil , Amutha A. ,   Department of Mathematics, The American College, Madurai, India.
Published: November 2019

Given simple graph 𝑮, a harmonious chromatic number 𝝌𝒉(𝑮) is the minimum number of colors used in a graph such that no two adjacent vertices receives the same color and each combination of color seems together on atmost one edge. In this article we have determined the harmonious chromatic number of barbell and central graph of barbell graph.Over all we have given an algorithm to calculate the harmonious chromatic number of Barbell graph by depicting a quadratic time.
An Accuracy of Attack Detection using Attack Recognition Technique in Multi-Factor Authentication Scheme
Authors:   Faculty of Computer Science and Information Technology, Universiti Putra Malaysia, Ariffin Noor Aliza Mohd , Rahim Fiza Abdul ,   College of Computing and Informatics, Universiti Tenaga Nasional, Rum Siti Nurulain ,   Faculty of Computer Science and Information Technology, Universiti Putra Malaysia
Published: November 2019

One popular scheme used for authentication security is the implementation of multi-factor authentication (MFA). There have been several researches that discusses on multi-factor authentication scheme but most of these research do not entirely protect data against all types of attacks. Furthermore, most current research only focuses on improving the security part of authentication while neglecting other important parts such as the systems accuracy. Accuracy is based on how perfect is the system able to identify a genuine user or an intruder. Current multifactor authentication schemes were simply not designed to have security and accuracy as their focus. Accuracy can be measured as the success rate on tasks that requires a certain degree. For instance, the number of users who is successfully logging into the system using any technique provides a measure of accuracy. Usually, accuracy demands of users are impacted by other demands such as recall of required information, environmental, or other factors. In authentication, the accuracy factor was identified through the device pairing studies. In many cases in the authentication system requires users to enter a password or biometric traits with 100 percent accuracy for comparing it. Nevertheless, this research analyzes the level of accuracy based on the biometric accuracy of authentication. In this paper will explain the evaluation process on the accuracy level of the proposed authentication to get a highly accurate performance, which is based on FAR (false acceptance rate) and FRR (false rejection rate). Result from the experiment shows that the accuracy of proposed scheme is better than the accuracy of other previous schemes. This is even after additional security features has been added to the scheme.
A System for Evaluating Big Data Analytics Performance
Authors:   Faculty of Computing, SIMAD Uinversity, Mohamed Ismail , Jusoh Yusmadi Yah ,   Faculty of Computer Science and Information Technology,Universiti Putra Malaysia, Abdullah Rusli ,   Faculty of Computer Science and Information Technology,Universiti Putra Malaysia, Nor Rozi Nor Haizan ,   Faculty of Computer Science and Information Technology,Universiti Putra Malaysia, Suriani Lilly ,   Faculty of Computer Science and Information Technology,Universiti Putra Malaysia
Published: November 2019

Despite of advances in systems and practices, performancemeasurement remains instrumental in helping organization discoverexistingproblems and propose viable solutions. On big data Analytics (BDA), more efforts are being focused, butperformance side is still a room for improvement. This paper discusses the development and implementation of performance measurement prototype system for big data systems. With this system, organizations can continually assess the performance gains and setbacks of their big data systems. The systems were developed based on measures and metrics retrieved from the extant literature. Then it was evaluated through review of subject-matter experts and usability survey. The development process of the prototype and the results of the evaluation are presented in this paper.
Evaluation of SQL Injection Vulnerability Detection Tools
Authors:   Dept. of Software Engineering and Information System, Faculty of Computer Science and Information Technology Universiti Putra Malaysia, 43400 UPM Serdang, Selangor, Malaysia, Draib Najla’a Ateeq Mohammed , Sultan Abu Bakar Md ,   Dept. of Software Engineering and Information System, Faculty of Computer Science and Information Technology Universiti Putra Malaysia, 43400 UPM Serdang, Selangor, Malaysia, Ghani Abdul Azim B Abd ,   Dept. of Software Engineering and Information System, Faculty of Computer Science and Information Technology Universiti Putra Malaysia, 43400 UPM Serdang, Selangor, Malaysia, Zulzalil Hazura ,   Dept. of Software Engineering and Information System, Faculty of Computer Science and Information Technology Universiti Putra Malaysia, 43400 UPM Serdang, Selangor, Malaysia
Published: November 2019

SQL injection vulnerabilities have been predominant on database-driven web applications since almost one decade. Exploiting such vulnerabilities enables attackers to gain unauthorized access to the back-end databases by altering the original SQL statements through manipulating user input. Testing web applications for identifying SQL injection vulnerabilities before deployment is essential to get rid of them. However, checking such vulnerabilities by hand is very tedious, difficult, and time-consuming. Web vulnerability static analysis tools are software tools for automatically identifying the root cause of SQL injection vulnerabilities in web applications source code. In this paper, we test and evaluate three free/open source static analysis tools using eight web applications with numerous known vulnerabilities, primarily for false negative rates. The evaluation results were compared and analysed, and they indicate a need to improve the tools.
Software Component Quality Model
Authors:   Dept. of Software Engineering and Information System, Faculty of Computer Science and Information Technology, Universiti Putra Malaysia,, Ali Mohamed Abdullahi , Yap Ng Keng ,   Dept. of Software Engineering and Information System, Faculty of Computer Science and Information Technology, Universiti Putra Malaysia, 43400 Serdang, Selangor, Malaysia
Published: November 2019

In Component Based Software Development (CBSD), applications are built from existing components either by assembling or replacing software parts. Reusing components may lead to faster software development and subsequently reduce cost and provide higher product quality. In CBSD, software component models define what components are and how they compose. However, no research has been done to assess the quality of software component models, to assess the characteristics of software component design. This paper proposed a software component quality model specifically to answer the question what characteristics make good component. A Systematic Literature Review (SLR) has been conducted by defining a robust protocol that combines automatic searches from different sources. The finding of the SLR has contributed to the development of quality model for CBSD, i.e. a proposed component quality model with metrics which is specific to software component design.
Integration of Resistivity and Seismic Data to Determine the Cavity at Teluk Apau, Langkawi: An Evaluation
Authors:   Institute of Energy Infrastructure, Universiti Tenaga Nasional,43000 Kajang, Malaysia, Roslan Rasyikin , Omar Rohayu Che ,   Institute of Energy Infrastructure, Universiti Tenaga, Nasional,43000 Kajang, Malaysia, Baharuddin Intan Nor Zuliana ,   Institute of Energy Infrastructure, Universiti Tenaga Nasional,43000 Kajang, Malaysia, Wahab Warishah Abdul ,   Institute of Energy Infrastructure, Universiti Tenaga Nasional,43000 Kajang, Malaysia, Buslima Faten Syaira ,   Institute of Energy Infrastructure, Universiti Tenaga Nasional,43000 Kajang, Malaysia
Published: November 2019

A geo-environmental evaluation to build and maintain the transmission tower often requires a large amount of spatial information to determine foundation and slope stability. Geo-electrical or resistivity measurements are capable of managing large amounts of spatially related information, enabling various layers of data to be integrated.These geophysical methods are readily available can assist engineering geologist and geotechnical engineers in obtaining the material properties and boundaries of sub-surface materials.Multi-criteria analyses are carried out to assess the development suitability of the transmission tower's geo-environment based on properly measured and weighted variables. It is demonstrated that Geo-electrical or resistivity measurements have high functionality for geo-environmental assessments.
Lane Detection on Roads using Computer Vision
Authors:   Uttarakhand Technical University, Sudhowala (Uttarakhand), India., Goyal* Dr. Abhishek , Singh Dr. Mridula ,   Uttarakhand Technical University, Sudhowala (Uttarakhand), India., Srivatava Anand ,   Uttarakhand Technical University, Sudhowala (Uttarakhand), India.
Published: November 2019

In recent times many technological advancements are coming in the domain of road safety as accidents has been increasing at an alarming rate and one of the crucial reason for such accidents is lack of driver’s attention. Technical advancements should be there to reduce the frequency of the accidents and stay safe. One of the way to achieve the same is through Lane Detection Systems which work with the intention to recognize the lane borders on road and further prompts the driver if he switches and moves to erroneous lane markings. Lane detecting system is an essential component of many technologically intelligent transport system. Although it’s a complex goal to achieve because of vacillating road conditions that a person encounters specially while driving at night or even in daylight. Lane boundaries is detected using a camera that captures the view of the road, mounted on the front of the vehicle. The approach used in this paper changes the image taken from the video into a set of sub-images and generates image-features for each of them which are further used to detect the lanes present on the roads. There are proposed numerous ways to detect the lane markings on the road. Feature-based or model-based are the two categories of the lane detection techniques. Down-level characteristics for example lane-mark edges are used by the feature-based functions.