bluuebunny/crossref_metadata_2025 huggingface dataset:
Numerical Research of Hall Current Influence on MHD Convective “Flow in Presence” of Jeffrey Fluid, “Heat and Mass Transfer”
Authors:   Professor in Mathematics Department of H & S, CMR Engineering College, Kandlakoya(V), Medchal(Dist.) Hyderabad, Telangana State, India., Rani* Y. Sunita
Published: October 2019

The reason of this study is to find a numerical solutions of Jeffrey's compact, non-stressed, smooth, conductive, magnetic hall currents in the vertical optical direction in the occurrence of heat_flux, “heat”(h) & group transmit. The limited dissimilarity is solved to explain the “equations”(Eq). The effect of different constraints on “velocity”(V), “temperature”(temp) & concentration distributions was investigated at the boundary layer. Also, there is a computational discussion about the effect of relevant or important factors on the coefficients of skin_friction and the rate of h and “mass”(m) relocate according to the values of Nusselt and Sherwood information correspondingly. Great interconnection is achieved by using Perturbation and Finite difference techniques. Applications of magnetic materials, MHD generators and crude oil refinements have been found in this model.
Influence of Process Parameters on Tensile Strength of Additive Manufactured PLA Parts using Taguchi Method
Authors:   Professor, Sreenidhi Institute of Science and Technology, Hyderabad, Narayana Dr. Y.Venkata , Reddy N Pruthvi ,   M.Tech student, Sreenidhi Institute of Science and Technology, Hyderabad.
Published: October 2019

Influence of layer thickness nozzle temperature and angle on tensile strength of PLA fabricated with FDM (FFF) was experimentally investigated. Polylactic Acid (PLA) is a semi-crystalline and bio-friendly thermoplastic polymer has identified as important material in different applications due to its mechanical characteristics. Fused Deposition Modeling (FDM) is a one of the proved technology in Fused Filament Fabrication (FFF) technique in additive manufacturing process. In present investigation different specimens were fabricated using FDM technique with different layer height and different layer angles for finding influence of these manufacturing parameters on tensile strength of the specimen. Specimens were fabricated and tested as per ASTM D638 standard. It is clearly observed that tensile strength is more for +450/-450 layer angle than the +00/-00 layer angle for a given layer height(h=0.10 mm, h=0.15mm and h=0.20mm).The TAGUCHI analysis is carried with nozzle temperature, layer thickness and angle finding optimal values. It has been observed that, the optimal parameter is angle, which is equal to 300.the ANOVA variation of angle layer with tensile strength has been observed that 18.10-31.90.
Work Discipline, Competence, Empowerment, Job Satisfaction, and Employee Performance
Authors:   Ph.D Student of Univeritas Syiah Kuala, Banda Aceh, Indonesia. Head of National Land Agency, Indonesia,, Yuliadi*  , Tahir Rusdin ,   PhD of Business Administration, Universitas Padjadjaran, Bandung, Indonesia.
Published: October 2019

The results of the study indicate that employees were not satisfied with their work discipline, competence, and empowerment. Thus, job satisfaction cannot be compared to employee performance. Applying a survey method to reveal the perceptions of 376 employees of the Ministry of Agrarian Affairs and Spatial Planning/National Land Agency of the Republic of Indonesia, starting from August 2016 - August 2017, this study reveals work discipline, competence, and empowerment had implications for job satisfaction in improving employee performance. Data were analysed descriptively (weighted mean score) and inferentially (Structural Equation Modeling). The results showed that: (1) Work discipline, competence, empowerment, job satisfaction and performance of the civil servants at the Ministry of Agrarian and Spatial Planning/National Land Agency of the Republic of Indonesia were in “good” category, albeit not optimal; (2) Work discipline, competence, and empowerment simultaneously and partially had significant effect on civil servants’ job satisfaction at the Ministry of Agrarian Affairs and Spatial Planning/National Land Agency of the Republic of Indonesia; and (3) Work discipline, competence, and empowerment both directly and indirectly (through Job Satisfaction) were simultaneously and significantly related to the performance of civil servants of the Ministry of Agrarian Affairs and Spatial Planning/National Land Agency of the Republic of Indonesia.
The Effects of Human Capital on Organizational Innovation in Abu Dhabi Government
Authors:   Institute of Technology Management and Entrepreneurship, Universiti Teknikal Malaysia Melaka, Alseiari Abdulrahman Mohammed Suliman , Al-shami Samer Ali ,   Institute of Technology Management and Entrepreneurship, Universiti Teknikal Malaysia Melaka, C-ACT, Universiti Teknikal Malaysia Melaka, Sidek Safiah ,   Pusat Bahasa dan Pembangunan Insan, C-ACT, Universiti Teknikal Malaysia Melaka
Published: October 2019

Today, human capital plays a significant role in developing the innovation process of organizations and for that reason it is an important element of any successful organization. The aim of this study is to examine the impact of three factors associated with human capital namely knowledge, skill, and attitudes towards organizational innovation. To achieve this aim, this study adopted a quantitative survey by collecting data from employees of public sector in Abu Dhabi. Descriptive and inferential statistics was used to analyse the quantitative data. The result of this study shows that human capital has a direct and positive influence towards organizational innovation through high degree of knowledge and skills as well as positive attitude. This study tested three factors mentioned above twords organziational innovation in UAE. Therefore, the author recommends the leaders in public organizations in UAE to focus on the factors associated with human capital in particular knowledge, skill, and attitude of employees. The outcome of this study revealed that the skills and knowledge of human capital are one of the pillars of this vision is transforming the UAE into competitive knowledge economy through innovation and creativity. Moreover, it is highly recommended to test the moderation effect of transformational leadership on this relationship in future studies to understand how the behavior of leaders support or weakening the impact of human capital on organizational innovation.
Tkinter App Based Robot for Medical and Domestic Purposes using Raspberry Pi
Authors:   Department of Electronics and Communication Engineering, SRC, SASTRA Deemed University, Kumbakonam 612001, Tamilnadu, India,, Usha* G. , Narasimman K. ,   School of Electrical and Electronics Engineering, SASTRA Deemed University, Thanjavur 613401, Tamilnadu, India
Published: October 2019

A robot is a multifunctional device which is programmed to work like human such as lifting heavy weights, stacking and emptying, and perform the defined tasks with speed and accuracy. The paper consists of the design and construction of a medical and domestic purpose robot. The design and placement of motors, wheels, sensors, and controlling mechanism has been discussed. The proposed robot can be controlled using an Ethernet cable or can be controlled wirelessly by networking. After providing connections this robot is tested indoor as well as outdoor. For medical use, it can be used in detecting the abnormal behaviour of a human and for domestic use it detects intruders, it is used for home automation, detecting temperature and displaying it on the LCD screen, tracking mobile and bringing to the user by finding the shortest path using GSM module. D-link Wi-Fi home camera is used to store the recorded data in cloud so that we can see the required data when usage demands. Tkinter package based application is developed and the robot is made to interface with the Raspberry Pi 3 B+ for its control and performance. The design and the structure of this proposed robot is modified according to our need for future use. We have performed all those features that are mentioned in this paper and equipped them more accurately.
Advancing Recovery by Refining Surfactant Proportion As a Chemical Enhanced Oil Recovery Application
Authors:   Assistant professor, Dept. of Petroleum Engineering., Amet University, Chennai., Prince* Dr. M.J.A. , Rajak Mithilesh Kumar ,   Assistant Professor, Department of Mining Engineering, Amet University, Chennai., Avula Dr. Venkata Ramana ,   Assistant Professor, Department of Petroleum Engineering at Koneru Lakshmaiah Education Foundation, Guntur, Andhra Pradesh, India
Published: October 2019

One of the most requesting and promising techniques in Enhanced Oil Recovery (EOR) is the utilization of synthetic compounds to remove extra oil, keeping the ecological concerns and strength of the reservoirs. The objective of this paper is to choose a particular grouping of surfactant that could upgrade Ultralow Interfacial pressure among oil and Water. And, arrangement of smaller scale emulsion through Emulsion Test. The methodology adopted in this work has been done through conductivity estimation of eight diverse surfactant proportions to decide stable Critical Micelle Concentration (CMC). This proportion has been tested with various groupings of electrolyte and alkali for middle layer smaller scale emulsion. Through conductivity test CMC has been resolved at 450 ppm, It has been tried with various concentrations of electrolyte and soluble base for middle layer smaller scale emulsion. Third layer have been noticed at NaCl 1.0 wt% and Alkali 0.5 wt%. At this specific proportion Interfacial Tension (IFT) among Oil and water has been diminished.
Securing E-health Data using Ciphertext-Policy Attribute-Based Encryption with Dynamic User Revocation
Authors:   Computer Science, Applied Science Private University, Jordan, Kamoona* Mohammed Ali , Tamimi Ahmad Mousa Al ,   Information Technology Applied Science Private University, Jordan
Published: October 2019

E-health systems hold a massive amount of medical data that is stored and shared across healthcare service providers to deliver health facilities. However, security and privacy worries increase when sharing this data over distributed settings. As a result, Cryptography techniques have been considered to secure e-health data from unauthorized access. The Ciphertext Policy Attribute-Based Encryption (CP-ABE) is commonly utilized in such a setting, which provides role-based and fine-grained access control over encrypted data. The CP-ABE suffers from the problem of user revocation where the entire policy must be changed even when only one user is revoked or removed from the policy. In this paper, we proposed a CP-ABE based access control model to support user revocation efficiently. Specifically, the proposed model associates a unique identifier to each user. This identifier is added to the policy attributes and removed dynamically when the user is added/revoked. A tree structure (PolicyPathTree) is designed specifically for our model. It can facilitate fast access to policy's attributes during the verification process; The model is analyzed using Information Theory Tools. Results show that our model outperforms other notable work in terms of computational overheads.,
IoT Based Smart Home Automation using Blynk App and Security Alerting System using E-mail
Authors:   Assistant professor, Electronics and Communication engineering, Vardhaman college of engineering, Hyderabad, India, Ram* G. Bhaskar Phani , Rajeshwari L. ,   Electronics and Communication engineering, Vardhaman college of engineering, Hyderabad, India
Published: October 2019

Now a day's technology is increasing rapidly. Automation in security part makes it progressively credible. There are numerous electrical hardware's are accessible in home which are in need of observing from a remote territory all at once. IoT (internet of things) is developing to an immense degree. it includes coordinated effort of various gadgets and at last accomplishing effective home automation as one application. It allows controlling home machines throughout the web. The house computerization is controlling the light ON/OFF condition using blynk app. This paper report overall mechanization and protection system. If a burglar is detected, the safety system is capturing the picture and sends it e-mails to the user. To trigger the alarm as well.
Modelling Decision Making under Uncertainty for Strategic Forecasting
Authors:   Department of Management and Administration, Educational and Research Institute “Karazin Business School”, Kharkov, Ukraine, Korepanov* Oleksiy , Mekhovich Sergey ,   Department of Economic Analysis and Accounting, National Technical University "Kharkiv Polytehnic Institute", Kharkiv, Ukraine, Karpenko Nataliya ,   Marketing Chair, Poltava University of Economics and Trade, Poltava, Ukraine, Kryvytska Olha ,   Department of Finance, Accounting and Auditing, National University of Ostroh Academy, Ostroh, Ukraine, Kovalskyi Andrii ,   Accounting and taxation department, Odessa National economic university, Odessa, Ukraine, Karpenko Roman ,   Department of Civil Law Disciplines, Dnipropetrovsk State University of Internal Affairs, Dnipro, Ukraine
Published: October 2019

In current market conditions, the key to productive economic activity is the ability to provide a high-quality forecast, even in situations of insufficient information. Strategic forecasting refers to this type of activity, errors in which the actions of any company can have a detrimental effect on the fundamental level. The justification and selection of specific management decisions can often be carried out in conditions of uncertainty due to the inability to clearly predict the values of the final results of these decisions. The decision-making system within the framework of the strategic forecasting task should help maintain the effectiveness of actions by simplifying the picture of the real world by modelling it. While allowing to reduce the influence of the subjectivity of the personality of the decision-maker on the decision-making process itself.
Performance of Spatial Frequency Discrete Wavelet Transform Based Remote Sensing Image Fusion Algorithm
Authors:   Electronics and Communication, Noorul Islam Centre for Higher Education, Kumaracoil, Kanyakumari District, Thuckalay, Tamil Nadu, India., Joy* Jinju , N Santhi ,   Electronics and Communication, Noorul Islam Centre for Higher Education, Kumaracoil, Kanyakumari District, Thuckalay, Tamil Nadu, India., Jayamohan Sanil ,   Electronics and Communication, Sarabhai Institute of Science and Technology, Vellanad, Trivandrum, India., K Ramar ,   Computer Science, Muthayammal Engineering College (Autonomous), Rasipuram, Namakkal District, Tamil Nadu, India.
Published: October 2019

The high sensor cost for producing images with superior spectral and spatial qualities in remote sensing application have led to the development of image fusion algorithms. Image fusion technique combines a Panchromatic image and a Multispectral image with an aim to produce images with excellent spatial and spectral qualities. One of the major factors that affect the performance of any image fusion algorithm is the capability of the algorithm in extracting the spatial and spectral data from the respective images and how effective the so extracted information is blended together. One of the recently developed spectral domain algorithm to perform image fusion in remote sensing applications is Spatial Frequency Discrete Wavelet Transform abbreviated as SFDWT. The excellence of SFDWT image fusion algorithm is already proven better than the prevailing algorithms based on Discrete Wavelet Transform. This paper is coined with an eye to realize the performance of SFDWT based image fusion algorithm with respect to IHS-DWT, which being an enhanced form of a typical DWT based image fusion algorithm. The performance of SFDWT and IHS-DWT based image fusion algorithms will be evaluated by applying both techniques in the fusion of urban images received from Pléiades sensors with 1:4 resolution ratio using qualitative and quantitative image quality assessment methods. The consequence of varying the decomposition level on the quality of the images produced using SFDWT image fusion technique and three variants of IHS-DWT techniques based on substitution, averaging and maximum selection will be also evaluated. From the experimental analysis done using MATLAB simulation, it will be vivid that images obtained using image fusion algorithm based on SFDWT are much better than that obtained using IHS-DWT technique with excellent spatial and spectral qualities.
Reduction of Surface Waves in Arrays using Uni-Planar EBG
Authors:   Assistant Professor in VR Siddhartha Engineering College, Vijayawada, India., Prasad* K. Vara , Prasad Dr. M V S ,   Professor in R V R & JC College of Engineering and Technology.
Published: October 2019

Electromagnetic band gap (EBG) structures can be treated as sporadic arrangement of dielectrics. These structures will aid in the coupling reduction in arrays. In this paper, for reducing coupling between array antennas, a new arrangement of EBG structures is presented. The antenna resonates at 5.8GHz, used for wireless requirement. Here 5 × 2 EBG structures are used to reduce mutual coupling more than 20 dB. The antenna substrate dimensions are 36 mm × 68 mm × 1.6 mm. Also, the dispersion diagram was used to design EBG unit cell. In this, a uniplanar EBG configuration which is easy to fabricate without the use of vias is designed for antennas. Their use in coupling reduction of planar antennas and low-profile antenna applications is explored through an effective technique, because the information required is the dispersion diagram and reflection phase of the unit cell. Different Uniplanar-EBGs are used for optimizing current distribution on the antennas, decreasing the coupling between elements and harmonic suppression. As a result, the antenna array performance is improved and minimum coupling is less than -20 dB by using this EBG structure.
Missing Data Imputation in High Dimensional Data Set using Local Similarity
Authors:   Professor, Department of Information Technology,Kongu Engineering College,Erode,India., Nalini* C. , Sudeeptha J. ,   Application development associate in Accenture Chennai India
Published: October 2019

Data quality is an important aspect for any data mining and statistical tasks. Presence of missing values in the dataset affects the data quality. Missing values refers to the event did not happen or the value does not exist. Data mining algorithms are not robust towards incomplete data. Imputation of missing values is necessary to improve the data quality for performing data mining and statistical analysis. The existing methods such as Expectation Maximization Imputation (EMI), A Framework for Imputing Missing values Using co appearance, correlation and Similarity analysis (FIMUS) use the whole dataset to impute missing values. In such cases, due to the influence of irrelevant record the accuracy of imputation may be affected. This can be controlled by only considering locally similar records to impute missing values. Local similarity imputation can be done through clustering algorithms such as k-means algorithm. K-means clustering efficiency depends on the number of clusters is to be defined by users. To increase the clustering efficiency, first distinctive value is imputed in place of missing ones and this imputed dataset is given to stacked autoencoder for dimensionality reduction which also improves the efficiency of clustering. Initial number of clusters to k-means algorithm is determined using fast clustering. Due to initial imputation, some irrelevant records may be partitioned to a cluster. When these records are used for imputing missing values, accuracy of imputation decreases. In the proposed algorithm, local similarity imputation algorithm uses only top knearest neighbours within the cluster to impute missing values. The performance of the proposed algorithm is evaluated based on Root-Mean-Squared-Error (RMSE) and Index of Agreement (d2). University of California Irvine datasets has been used for analyzing the performance of the proposed algorithm.
The Impact of Second Generation FDI Reforms on the Stock Market Development in India
Authors:   Assistant Professor, SRM Institute of Science and Technology, Delhi-NCR Campus, Ghaziabad, Uttar Pradesh, India., Saraswat* Gopal Bihari , Saraswat Dr. Madhav ,   Assistant Professor, Institute of Business Studies,Ch. Charan Singh University, Meerut, Uttar Pradesh, India., Chakraborty Arnab ,   Assistant Professor (Economics, Marketing and Digital Marketing), Amity Global Business School, Noida, Uttar Pradesh, India.
Published: October 2019

The Governments took a series of initiatives as a measure of second-generation reforms in Foreign Direct Investment (FDI). The FDI reform initiatives had started since 1991 as foundation of Indian economy and the governments over the period contributed to emerge India as destination for Foreign Direct Investment in the world. These reforms played an important role in capital formation in stock markets and developments in the economy. This paper attempts to study the impact of second-generation economic reforms in FDI and its impact on Stock Market Development (SMD) in India. This paper uses a multivariate unrestricted VAR (Vector Autoregression) model to investigate the impact of the reforms in FDI on the development of stock market in India. The study used the quarterly data of FDI inflow, exchange rates and terms of trade (Exports/Imports) from 2004 to 2017 to find the long run impact of FDI reforms on the SMD. The SMD is the ratio of stock market capitalization to the Gross Domestic Product (GDP) of the country. The study uses the unrestricted VAR to generate impulse responses to find the impact of one standard deviation innovation change in one variable on other. Further, Unit Root Test, Granger causality test statistics and variance decomposition (VDC) respectively have been applied to identify variables stationarity, the causality and percent change in variance due to one standard deviation innovation in other variable. The findings of the study conclude that there were structural breaks in the data during 2007Q1 and 2011Q1 due to US financial crisis that lead to high volatility in the Indian stock market. Further, finding concluded that there is a bidirectional causality between foreign direct investment and the stock market development. Finally, study revealed that FDI and terms of trade are also having a bidirectional causality where shock in terms of trade brings a change of 25.15 percent in FDI inflows.
Factors Affecting Consumer Buying Behaviour towards Gold Jewellery
Authors:   Associate Professor and Head of the Department at SRMIST, Delhi NCR Campus., Amitabh* Dr. Aanchal
Published: October 2019

Indian gems and jewellery industry has undergone major structural changes. The consumer today demands along with best service terms the best value offers and expects the retailer to be honest enough through transparent business activities. There has been considerable change in the thought pattern of consumer towards jewellery purchase. Indian consumer buys jewellery for several reasons varying from investment to conspicuous value to hedonic value. Indian customers love for gold and jewellery is quite well acclaimed and known fact. At this backdrop the study pertains to identify the various factors affecting consumer buying behaviour towards gold jewellery. The respondents selected for the study were 500 affluent females, divided into three age groups – 18 to 30 years (25%) , 31 to 40 years (43%)and 41 years and above (32%). Further the sample was categorized on basis of Occupational status as working (70.7%) and non working (29.3%) and Educational background as graduate (43%) and post graduate (57%).The selected women were requested to respond to the queries enlisted in the questionnaire annexed as Appendix 1. Chi square and Factor analysis through SPSS has been used as the data analysis tool.
Simulation of Three Phase Voltage Controlled Soft Switching Start of Induction Motor Drive
Authors:   PhD Research Scholar, School of Electrical Engineering, KIIT University, Bhubaneswar, Odisha, India., Ganthia* Bibhu Prasad , Ray Lipsa ,   M.Tech Research Scholar, Department of Electrical Engineering, IGIT, Sarang, Dhenkanal, Odisha, India., Senapati Priyanka ,   M.Tech Research Scholar, Department of Electrical Engineering, IGIT, Sarang, Dhenkanal, Odisha, India., Barik Dr. Subrat Kumar ,   Associate Professor, School of Electrical Engineering, KIIT University, Bhubaneswar, Odisha, India.
Published: October 2019

In this paper a three phase voltage regulator (thyristor based) with RL load and induction motor load is simulated for fixed firing angle first. As was seen from the results obtained that the induction motor response is highly impaired with this fixed firing angle starting. The transient response as well as the steady state response is highly oscillatory in nature. Then a suitable firing scheme was developed to vary the firing angles of each thyristor in reference to the zero crossing of the respective phase voltages. The control circuit was studied for R-L load first and then the induction motor was simulated with this firing angle control scheme. The basic objective of this work is to improve the transient response of the voltage regulator fed induction motor. One basic requirement for the induction motor to have an improved transient response is that the applied voltage to the motor must gradually increase. The same was achieved with the proposed control logic. Next the fault mode (short circuit and open circuit switch fault) analysis of the induction motor was taken up. Till now not much work has been done on this fault tolerant induction motor drive. Here a 2-phase close loop control was adopted to improve response of the induction motor in fault mode. We used both the voltage control loop as well as the current control loop to do so. Unfortunately not much can be done on this fault tolerant operation as the time was very short. Till the speed and torque pulsation during a short circuited switch fault was greatly improved by adopting this two phase control strategy.
Audio-Visual Asynchrony in Malayalam Phonemes and Allophones
Authors:   Computer Speech & intelligence Research Centre, Department of Physics, Government College, Madappally, Vadakara, Calicut, Kerala, India., K T* Bibish Kumar , John Sunil ,   Computer Speech & intelligence Research Centre, Department of Physics, Government College, Madappally, Vadakara, Calicut, Kerala, India., K M Muraleedharan ,   Computer Speech & intelligence Research Centre, Department of Physics, Government College, Madappally, Vadakara, Calicut, Kerala, India., Kumar R K Sunil ,   School of Information Science and Technology, Kannur University, Kerala, India.
Published: October 2019

Simulating the audio-visual asynchrony (AVA) is just one of those essential issues to be researched in the use of video signal along with the audio signal in the speech processing applications. AVA analysis dealswith the estimation of theasynchrony between audio andvisual speech signal produced during the articulation of phonemes and allophones. Just a few works of literature have discussed this specific dilemma that immediately reflects more exploration is needed to tackle this open research issue. An audio-visualMalayalam speech database containing of 50 phonemes along with 106 allophones of five indigenous speakers has been created. The listed visual information is made up of the complete facial area recorded in a frontal perspective. Time annotation of the audio and video signals is performed manually. Duration of audio signal and video signal of every phonemes and allophones are estimated from the time annotated audio visual database. Asynchrony is then estimated as their differences. Asynchrony analysis was performed individually for phonemes and allophones to underline the coarticulation effect. Multi modal speech recognition has greater accuracy than audio only speech recognition, especially in noisy environment. AVA plays a vital role in applications like multi modal speech recognition and synthesis, automatic redubbing, etc.
Recognition of Offline Gujarati Handwritten Disjoint Consonants using Pattern Matching
Authors:   Faculty of Computer Technology, GLS University, Ahmedabad, India., Jain* Arpit A , Arolkar Harshal A ,   Faculty of Computer Technology, GLS University, Ahmedabad, India., Davda Chirag S ,   Student, GLS University, Ahmedabad, India.
Published: October 2019

Image processing is one of the most popular field nowadays. Recognition of the offline isolated handwritten characters is an area which got lot of attention within the field of Image Processing. Various techniques have been proposed in the area of online and offline handwritten character recognition (HCR). In future HCR is the key factor for the transformation of written or printed text into system understandable format. Thus, providing a boost to digitization era. Gujarati is one such language which has many challenges in creation of an accurate OCR. Researchers have achieved good accuracy in the field of online Gujarati handwritten character recognition. This paper introduces a pattern recognition system which is able to recognize isolated offline Gujarati handwritten characters with higher accuracy. Experiments have been done on sub set of ( g, `, l, x, h ) consonants using a total data set of 6750 handwritten consonants by different individuals. The experimental results achieved a markable contribution in the field of handwritten character recognition.
Experimental Behavior on Elastomeric Bearing on Bridge Structure
Authors:   Assistant professor, Department of Civil Engineering, Mahendra Institute of Engineering and Technology,Tamilnadu, Indiya, Devi S* Suthandra , M Nivashini ,   Student, Department of civil Engineering, Mahendra Institute of Engineering and Technology,Tamilnadu, Indiya, R Subash ,   Student, Department of civil Engineering, Mahendra Institute of Engineering and Technology,Tamilnadu, Indiya
Published: October 2019

This paper evaluating the behavior, performance and experimental of elastomeric bearings. The study includes an experimental evaluation and elastomeric bearing should satisfy the following condition as per IRC 83 (Part II) CODE. The experimental investigation studied the elastomeric bearing, elastomer, reinforced bearing and unreinforced bearing behavior in less hardness, tensile strength, elongation at break, shear modulus, strength on elastomer, compression, shear, moment, rotation, horizontal and vertical force. The elastomer considerable under load and return to their original shape on removal of the load. The elongation can range up to 10 times their original dimensions. The chemical process for rubber or related to polymer into more durable material by heating them with sulfur is more percentage to produce an unreinforced elastomeric bearing.
Formulation of Control Strategies for IoT Task Scheduling
Authors:   Professor IT Dept., Anurag Group of Institutions, Hyderabad, India., Rao A* Prasantha , Reddy G. Sekhar ,   Asst. Professor IT Dept., Anurag Group of Institutions, Hyderabad, India,, Kumar CH.N.Santhosh ,   CSE Department, Anurag Engg. College, Kodada, India,., Reddy K. S. ,   CSE Department, Anurag Engg. College, Kodada, India,.
Published: October 2019

The various Internets of Things (IoT) application tasks are difficult to schedule due to heterogeneity properties of IoT. So an efficient algorithm is required that forms < task, processor> pair appropriately. This paper presents a more sensible model for varying execution times of tasks and deviation in task parameters for building a schedule is allowed. The system provides an adaptive learning mechanism called Expected Time Matrix ETM (i, j). When the environment of the system changes dynamically, the system learns and adapts itself to the new changes automatically, since the learning mechanism has been incorporated in the system. ETM (i, j) concepts allows the system to learn from past instances as well. The work is supported by simulations that highlight the viability of concepts proposed. The key objective of this paper is to present the developed scheduling algorithm that is self-configurable and dynamic
Education and Training Strategy in Palembang Aviation College
Authors:   Politeknik Penerbangan Palembang, Septiani* Virma , Cahyono Dwi ,   Politeknik Penerbangan Palembang
Published: October 2019

This paper aimed at determining the variables which are strengths, weaknesses, opportunities and threats of the implementation of education and training guidelines for preparing and implementing activities in organizing education and training strategies and then improving the quality of the implementation of the Palembang Aviation Training Center in the future. The method used a qualitative. This study used SWOT analysis to formulate a strategy to improve the quality of education and training implementation. Data collection techniques used were observation and interviews. The results showed the SWOT analysis of the implementation could be used as input in improving the quality of the implementation of the Palembang Aviation Training Center for training participants, organizers, and related stakeholders and the success of training was determined by external factors and internal factor. This study concluded that from the results of the SWOT analysis, four alternative strategies were formulated, the strategies of Strength-Opportunities, Weaknesses-Opportunities, Strength-Threats, and Weaknesses-Threats which included quality improvement from 3 principles Software, Hardware and Brain ware. From the above conditions, the strategy for implementing education and training at the Palembang Aviation Training and Education Center will be well implemented.
Trajectory Object Detection using Deep Learning Algorithms
Authors:   Department of Computer Science & Engineering, Sona College of Technology, Salem, India., Elavarasi* S Anitha , Jayanthi J ,   Department of Computer Science & Engineering, Sona College of Technology, Salem, India, Basker N ,   Department of Computer Science & Engineering, Sona College of Technology, Salem, India .
Published: October 2019

Video surveillance data in smart cities needs to analyze a large amount of video footage in order to locate the people who are violating the traffic rules. The fact is that it is very easy for the human being to recognize different objects in images and videos. For a computer program this is quite a difficult task. Hence there is a need for visual big data analytics which involves processing and analyzing large scale visual data such as images or videos. One major application of trajectory object detection is the Intelligent Transport Systems (ITS). Vehicle type detection, tracking and classification play an important role in ITS. In order to analyze huge amount of video footage deep learning algorithms have been deployed. The main phase of vehicle type detection includes annotating the data, training the model and validating the model. The problems and challenges in identifying or detecting type of vehicle are due to weather, shadows, blurring effect, light condition and quality of the data. In this paper deep learning algorithms such as Faster R CNN and Mask R CNN and Frameworks like YOLO were used for the object detection. Dataset (different types of vehicle pictures in video format) were collected both from in-house premises as well as from the Internet to detect and recognize the type of vehicles which are common in traffic systems. The experimental results show that among the three approaches used the Mask R CNN algorithm is found to be more efficient and accurate in vehicle type detection.
Effect of Ion Irradiation on Vanadium Oxide Thin Films Deposited by Reactive RF Sputtering Technique
Authors:   Department of Physics, Faculty of Engineering and Technology, Manav Rachna International Institute of Research and Studies, Sector-43, Faridabad – 121001, India., Gupta* Kapil , Kumar Sarvesh ,   Department of Physics, Faculty of Engineering and Technology, Manav Rachna International Institute of Research and Studies, Sector-43, Faridabad – 121001, India, Singhal Rahul ,   Department of Physics, Malaviya National Institute of Technology, JLN Marg, Jaipur-302017, India.
Published: October 2019

Vanadium has many oxides (VO2, V2O3, V2O4, V6O13 and V2O5) due to high oxidation state. Properties of the vanadium oxide thin films can be changed by pressure, doping and strain. Ion irradiation can transform the phase, mix the two solid materials, form epitaxial crystallization and create nanostructure etc. in the materials. Purpose of our study was to observe the effect of swift heavy ions (SHIs) irradiation on vanadium oxide thin films. Thin films of vanadium oxide were deposited on the Si substrate by reactive RF sputtering technique. As-deposited thin films were irradiated by swift heavy ions (100 MeV Ag ions) at different fluences at room temperature. The effect of ions irradiation was studied by using grazing incidence X-ray diffraction (GIXRD), Fourier transform infrared spectroscopy (FTIR) and UV-vis-NIR spectrophotometer characterization techniques. GIXRD pattern revealed that swift heavy ions can induce the phase transformation (V6O13 to V2O3) in the films. FTIR characterization showed that δ(V=O) stretching mode at 1020 cm-1 shifted to the lower wave number side. Optical properties showed blue shift in the absorption spectra at the higher fluences. These shifting are due to the lowering of vanadium’s oxidation state in the thin films. This change in oxidation state of vanadium transforms the phase of the films. Irradiation with SHIs can transform the phase along with enhancement in the crystallinity of the vanadium oxide films.
Design of Ku Band Microstrip Patch Antenna Array for Satellite Applications
Authors:   Department of ECE, Vishnu Institute of Technology, Bhimavaram, India., Kumar* M. Vamsi , Satyanarayana Dr. K.V. ,   Professor, Department of ECE, Vishnu Institute of Technology, Bhimavaram, India., Ramesh Dr. Addanki Purna ,   Professor, Department of ECE, Vishnu Institute of Technology, Bhimavaram, India.
Published: October 2019

Conventional Microstrip Patch Antenna’s (MPA) are in small in size, but their gain is quite low for most applications. Long distance communication requires high gain antennas. For conventional applications that require high gain mostly depends on parabolic antennas and arrays. Manufacturing parabolic antennas became complex at high frequencies because of its bent geometry. Microstrip Patch Antennas are low profile, low cost, they come with ease of fabrication and results in high beam scan width and high gain when they were used as an array configuration. In this paper, square and circular shaped Microstrip Patch Antennas are excited with inset feed are analyzed to determine which shape of antenna works well at the Ku (12-18GHz) range of frequency. Return loss, VSWR, gain, and directivity parameters are considered to analyze the above configurations. CST studio suite tool was used to simulate the configurations.
An Exploration of Various Data Mining Techniques for Application in Child Healthcare
Authors:   Student, University of Mumbai, Mumbai, India., Sudhakar Abhijeet , Patil Rajendra B. ,   Assistant Professor, S.K.Somaiya College of Arts, Science & Commerce, Mumbai, India., R Srivaramangai ,   Assistant Professor, Department of Information Technology, University of Mumbai, Mumbai, India.
Published: October 2019

Data mining has been predominantly used for analysis of various data and findings. It has already gained ample importance in the field of medicine especially the healthcare department of governments. It is a useful tool for analyzing the child health care data for government so that enough measures can be taken to reduce the causes of deaths. This paper aims at exploring different data mining techniques that have been implemented especially in the child healthcare sector in order to get analytical data for decision making. Various techniques have been used for finding the mortality rates among infants, the under nutrition percentage, the causes of different diseases among children of under 5 years age. This paper gives an analysis of the earlier research and presents the need for developing new algorithms for healthcare with more accuracy in predictions.
Obtaining Spectral Characteristics of Semiconductors of AIIBVI Type Alloyed with Iron Ions using Direct Matrix Method
Authors:   Moscow Aviation Institute (National Research University), Moscow, Russia, Kurchatov* I.S. , Kolesnik S.A. ,   Moscow Aviation Institute (National Research University), Moscow, Russia, Bulychev N.A. ,   Lebedev Physical Institute of Russian Academy of Sciences, Moscow Aviation Institute (National Research University), Moscow, Russia
Published: October 2019

The spectral regularities of the energy structure of Fe2+ ions in semiconductor materials have been studied through the example of ZnS. A comparison has been carried out of the absorption bands wavelengths values obtained experimentally and estimated using the direct matrix synthesis method. The possibilities of creating tunable semiconductor laser on such materials in the range of 1.5–3 microns have been presented.
Structural, Optical and Frequency Dependent Electrical Behaviour of Aluminum Nitride (ALN) Nanopowder
Authors:   Professor At Department Of Physics And Dean, Faculty Of Science And Technology, Dr. Shakuntala Misra National Rehabilitation University, Lucknow, Uttar Pradesh –226017 (India)., Dixit* C.k. , Pandey Kapil ,   Research Scholar At Stefan Hawking’s Material Science Research Laboratory, Department Of Physics, Dr. Shakuntala Misra National Rehabilitation University, Lucknow, Uttar Pradesh – 226017 (India)
Published: October 2019

Aluminum nitride (AlN) is ceramic material. It has very high thermal and low electrical conductivity. The Variation of Various Electrical Parameters viz. Impedance (Z), Admittance (Y), Dielectric Permittivity ('), Relative Loss (''), Electrical Conductivity (), and Loss Tangent (Tan ) with frequency Dependence of Aluminum Nitride (AlN) Nano powder were studied. Scanning electron microscopy (SEM); Raman Spectroscopy; and X-ray diffraction (XRD) were used to analyse the surfaces and structures of aluminum nirtride nanopowder. It has been found that the particle size is of 36.15 nm and the crystallographic structure is amorphous. The surface morphology of the studied compound has been investigated by Scanning Election Microscopy (SEM) indicating the particles are in nanosize and characteristic range of diameters are in nanoscale. The electrical studies of the studied compound have been examined in order to acquire the electrical parameters (mainly dielectric permittivity, loss, conductivity, loss-tangent, impedance, and admittance). Small rise in the conductivity (with frequency dependent) has been observed due to the decrease in the particle size of the material.it is also observed that the relative permittivity ('), relative loss '') and dissipation factor (Tan ) decreases with increase in frequency. The Raman shift variation with the intensity which shows the peaks of the compound are obtained at 506 cm-1, 615 cm-1 656 cm-1, 873 cm-1, 882 cm-1, 949 cm-1, and 974 cm-1using laser at 785 nm.
Crimes in the Military-Industrial Complex (MIC)
Authors:   Moscow University of the Ministry of Internal Affairs of Russia named by V.Ya. Kikot, Moscow, Russia., Pushkarev* Viktor Victorovich , Fadeev Pavel Vladimirovich ,   Moscow University of the Ministry of Internal Affairs of Russia named by V.Ya. Kikot, Moscow, Russia., Khmelev Sergey Alexandrovich ,   Moscow University of the Ministry of Internal Affairs of Russia named by V.Ya. Kikot, Moscow, Russia., Tien Nguyen Van ,   Ministry of public security of Vietnam, Vietnam., Trishkina Ekaterina Alekseevna ,   Academy of management of the Ministry of internal Affairs of Russia, Moscow, Russia., Tsviliy-Buklanova Anna Alexandrovna ,   Academy of management of the Ministry of internal Affairs of Russia, Moscow, Russia.
Published: October 2019

In this article, the peculiarities of the criminal prosecution for the crimes in the military-industrial complex and state defense contracts in the modern Russian realia. Our conclusions aim to improve the respective enforcement practices and the current criminal procedure of the Russian Federation.
Determining a Carbon Tax Rate for India in the Context of Global Climate Change
Authors:   Department of Economics, Gauhati University, Assam, India., Kalita* Unmilan , Barua Nissar Ahmed ,   Department of Economics, Gauhati University, Assam, India.
Published: October 2019

Global warming has been described as “the biggest externality the world has ever seen”. With international policymaking gradually taking into account initiatives to tackle climate change, the idea of putting a price on carbon has also received much acclaim. Pricing carbon, in the form of a carbon tax, was put forward as a policy initiative with the commencement of the Paris Climate Summit of 2015, as such a policy, could address emissions at the sources while being the least intrusive with the lowest burden on taxpayers. India is the third largest emitter of greenhouse gases globally but has also been a pioneer in acknowledging carbon taxes. The government has claimed its high excise duties on petrol and diesel, along with the Clean Environment Cess on coal consumption, to be implicit carbon taxes. Interestingly, while a carbon tax should be linked to carbon emissions, current indirect taxes by the government are not at all linked to them while are mostly used as revenue generating measures or compensating the States as part of GST revenue losses. This paper envisages to examine the case for introducing a carbon tax regime in India vis-à-vis fossil fuel consumption in the economy, with a subsequent determination of a unique carbon tax rate for India. To achieve India’s Nationally Determined Contribution (NDC) targets of Paris Summit, it is imperative that India introduces an explicit carbon tax that links fuel prices to emissions, which can have a cascading effect of reducing their consumption while switching to cleaner fuels as substitutes. Findings from the study indicate that coal faces a minimal tax burden while being the most polluting whereas natural gas faces a high tax burden even though it is cleanest among all. As part of the study, a tax rate has been derived that is expected to act as a policy benchmark and can nudge tax policies in the right way, as switching to a low-carbon economy forms a primary agenda of India, in this era of a hothouse Earth.