bluuebunny/crossref_metadata_2025 huggingface dataset:
Model l ing the Impact o f Institutional Environment o n Key Macroeconomic Indicators
Authors:   Department of Finance, Lviv Polytechnic National University, Lviv, Ukraine, Pikhotskyi* Volodymyr , Nikolaienko Yurii ,   Department of Finance, Banking and Insurance, Chernihiv National University of Technology, Chernihiv, Ukraine, Derii Zhanna ,   Department of Theoretical and Applied Economics, Chernihiv National University of Technology, Chernihiv, Ukraine, Zaitsev Oleksandr ,   Department of Finance and Entrepreneurship, Sumy State University, Sumy, Ukraine, Havryliuk Olha ,   Department of Accounting and Audit, Lutsk National Technical University, Lutsk, Ukraine, Dmytrenko Iryna ,   Higher State Educational Institution “Banking University”, Kyiv, Ukraine
Published: November 2019

The characteristics of the dynamics of the main macroeconomic indicators are important indicators of the state and prospects of the country's economy as a whole. Interest in the study of macroeconomic dynamics is ensured by the uneven growth rates of the main macroeconomic indicators (GDP, consumption, investment) of different countries, as well as the growing lag of the poorest regions of the world from the leading ones in terms of economic development. Existing studies do not fully explain the differences in the behavior of macroeconomic indicators in countries whose economies are comparable for most of the fundamental factors considered. Recently, institutional factors have been used to explain these differences. The insufficient level of development of institutions limits economic growth; this problem is especially relevant in modern countries. Part of the resources is spent on protecting property rights, on overcoming barriers associated with corruption. To overcome the lag in institutional development, it is necessary to identify the mechanism of the influence of institutional parameters on macroeconomic indicators and assess the feasibility of improving various institutions from the point of view of further economic growth. The proposed approach to forecasting macroeconomic indicators taking into account the main components of the group of institutional variables can be applied directly in the process of building forecasts. It is also worth noting the proposed method of testing the hypothesis of a better forecast, which allows you to get results that are independent of the specification of the model.
Automatic Early Detection of Alzheimer’s D isease b ased on 2D VMD and Deep Convolutional Neural N etwork
Authors:   Department of Electrical Engineering, Siksha ‘O’ Anusandhan Deemed to be University, Bhubaneswar, India., Swain* Bhanja Kishor , Rout* Susanta Kumar ,   Department of Electrical and Electronics Engineering, Siksha ‘O’ Anusandhan Deemed to be University, Bhubaneswar, India., Sharma Dr. Renu ,   Department of Electrical Engineering, Siksha ‘O’ Anusandhan Deemed to be University, Bhubaneswar, India.
Published: November 2019

In this paper, the classification of normal controls (NC), very mild cognitive impairment and the early stage of Alzheimer’s disease (AD) known as mild cognitive impairment (MCI) from magnetic resonance imaging (MRI) is proposed, based on the two dimensional variational mode decomposition (2D-VMD) and deep convolutional neural network (DCNN). The 2D-VMD is applied to decompose the MRI scans into a discrete number of band limited intrinsic mode functions (BLIMFs). The automatic feature extraction, selection and optimization are performed using the proposed DCNN. The classification accuracy and learning speed of the 2D-VMD-DCNN method are compared with DCNN by taking the MRI data as input. The superior classification accuracy of the proposed 2D-VMD-DCNN method over DCNN method as well as other recently introduced prevalent methods is the major advantage for analyzing the biomedical images in the field of health care.
Double-Elliptical Micro-Strip Patch Antenna for Higher Design Flexibility and Miniaturization
Authors:   Dept. of Electronics & Communication Engineering, Karunya Institute of Technology & Sciences, Coimbatore, Tamil Nadu, India., Jose* Jerry V. , Rekh A. Shobha ,   Dept. of Electronics & Communication Engineering, Karunya Institute of Technology & Sciences, Coimbatore, Tamil Nadu, India., J. Jose M. ,   Dept. of Mechanical Engineering, Govt. College of Engineering Kannur, Kerala, India
Published: November 2019

Micro-Strip Patch Antenna (MSPA) finds large scale applications in various fields of communication. Elliptical shaped patch antenna is a prominent category among MSPAs. Possibility of circular polarization and dual resonant frequencies makes the Elliptical Micro-strip Patch Antenna (EMPA) widely accepted in modern communication devices. The present work aims to identify the constraints in further advancements in the design of EMPA and propose a novel shape to overcome these constraints. Minimizing the patch area and increasing the number of degrees of freedom in design were found to be the challenges. To overcome these challenges, a newly shaped patch called ‘Double-Elliptical Patch (DEP)’ is proposed for designing ‘Double-Elliptical Micro-strip Patch Antenna (DEMPA)’. A double-ellipse is a combination of two half-ellipses either with the same minor axis and different semi-major axes or with the same major axis and different semi-minor axes. The DEP has an additional degree of freedom in design compared to elliptical patch, which leads to greater design flexibility. In the present work, a DEP with the same horizontal major axis and centrally given feed was designed using Ansoft HFSS software. The semi-minor axis of upper half-ellipse was varied by keeping the semi-minor axis of lower half-ellipse a constant. The radiation properties of DEMPA were found to be similar to that of corresponding EMPA and this was achieved with less patch area. The maximum percentage reduction in patch area was 10.714%. The DEMPA covered the entire frequency range of Ultra Wide Band (UWB).
Mathematical Modelling Justification of Financial and Economic Parameters of Enterprises
Authors:   Department of Accounting and taxation, Ivano-Frankivsk National Technical University of Oil and Gas, Ivano-Frankivsk, Ukraine., Kafka Sofiia , Bagatska Kateryna ,   Department of Economics and Finance of an Enterprise, Kyiv National University of Trade and Economics, Kyiv, Ukraine., Sapiński Aleksander ,   Department of Internal Security, Bielsko-Biała School of Finances and Law, Bielsko-Biala, Poland., Tkachuk Galina ,   Department of Accounting and Audit, Odessa National Academy of Food Technologies, Odessa, Ukraine., Nikitin Dmytro ,   Department of Finance and Entrepreneurship, Sumy State University, Sumy, Ukraine., Zaitsev Oleksandr ,   Department of Finance and Entrepreneurship, Sumy State University, Sumy, Ukraine.
Published: November 2019

Prediction of the effective development of the enterprise implies the need for mathematical modelling of the leading financial and economic indicators of its life. High variability of approaches to the assessment and selection of indicators determines the existence of various approaches to their modelling. The complexity and complexity of the structure of economic activity of the enterprise, suggests the possibility of splitting the general situation into more specific cases, which allows you to apply a logical procedure to them, which is a simulation. The use of mathematical modelling allows you to speed up the economic analysis, contribute to a complete account of the influence of factors on the results of operations, increase the accuracy of calculations. It allows you to get a clear idea of the investigated object, to identify relationships, analyze features and give an accurate forecast of the development and changes in the basic financial and economic parameters of the enterprise.
AN Application of Neutrosophic Vague Max-Min Composition Technique
Authors:   Department of Mathematics, Nirmala College for Women, Coimbatore, India., A Mary Margaret , M Trinita Pricilla ,   Department of Mathematics, Nirmala College for Women, Coimbatore, India.
Published: November 2019

The theory of fuzzy set was introduced by Zadeh, has a wider scope in terms of applications than the classical set theory in solving various problems. Extensive applications of the fuzzy set theory have been found in various fields such as Computer Sciences, Artificial Intelligence, Medical Sciences, Economics, Statistics, Neural Networks, etc. In fuzzy set each element had a degree of membership. Smarandache defined the neutrosophic set theory, which was one of the most important new mathematical tools for handling problems involving imprecise, indeterminacy, and inconsistent data. The theory of vague sets was first proposed by Gau and Buehrer as an extension of fuzzy set theory and vague sets are regarded as a special case of context-dependent fuzzy sets. Shawkat Alkhazaleh introduced the concept of neutrosophic vague set as a combination of neutrosophic set and vague set. Neutrosophic vague theory is an effective tool to process incomplete, indeterminate and inconsistent information. This paper attempts to develop a new model known as neutrosophic vague max-min composition technique to examine the daily life problems. One of the major problems that everyone comes across is their children’s studies. Education is a very important aspect of the lives of all people all over the world. What we learn, not just in the classroom, shapes who we are. We take our education everywhere we go. Student life is not as easier as it seems. Now a days the studies of the student is deviated due to various reasons. Here we identify those problems of students and by using neutrosophic vague max-min composition technique we analyze the problem faced by the students that affect their lack of concentration in studies.
Formation of Educational Level of the Population of Ukraine in the Conditions of Formation of Information Society
Authors:   Department of Problems of Inter-Regional Cooperation Issues, Institute of Economic and Legal Studies of the National Academy of Sciences of Ukraine, Kyiv, Ukraine., Martynovych Nataly , Boichenko Elina ,   Department of Problems of Inter-Regional Cooperation Issues, Institute of Economic and Legal Studies of the National Academy of Sciences of Ukraine, Kyiv, Ukraine., Vivchar Oksana ,   Department of Law Enforcement Practice and Financial Investigations, Ternopil National Economic University, Kyiv, Ukraine., Myskova Nataliia ,   Department of Preschool Pedagogy, Psychology and Professional Techniques, Khmelnytskyi Humanitarian Pedagogical Academy, Kyiv, Ukraine., Popovych Oksana ,   Department of  Theory and Methodology of Preschool Education, Mukachevo State University, Mukachevo, Ukraine.
Published: November 2019

The scientific Foundation of the formation of the educational level of the population of Ukraine in the conditions of the creation of the information society was early research. The study based on one of the strategic goals of sustainable development, namely: “Overcoming poverty in all its forms. The current provisions of the implementation of sustainable development were approved in 2015 at the UN Summit on sustainable development. Improving the educational level of the population of Ukraine in the conditions of formation of the information society is the basis of the mechanism of poverty prevention and improving the quality of life. In the article, the authors established the essence of the concept of “information society”, determined the prerequisites for the emergence of the information society in Ukraine, revealed the peculiarity of the formation of the information society in Ukraine. The authors proposed an author’s vision of the process of creation of the educational level of the population, substantiated the feasibility of applying a systematic approach to diagnosing the level of education of the people. The authors examined the results of diagnosing the educational level of the population of Ukraine in the context of the formation of the information society for the period 2000-2018.
The Architecture of the Smart Flowerpot by using the Internet of Things (IoT)
Authors:   Department of Computer Science, Suan Sunandha Rajabhat University, Bangkok, Thailand., Janpla Satien , Jewpanich Chaiwat ,   Department of Educational Technology and Computers, Suan Sunandha Rajabhat University, Bangkok, Thailand.
Published: November 2019

Smart Flowerpot was a plant pot that helped growers reduced care time and watering for the plants, because the plant pot offered by the researcher had a soil humidity sensor that measured the soil moisture and sent the soil moisture to the processor using Node MCU ESP8266. If the humidity level of the soil was lowered to the specified value, Node MCU sent a signal to the relay module, to allow the water pump to water the plants and there was an ultrasonic sensor module to measure the water level that was put in for watering the plants. If the water supply had almost run out, the Node MCU would send a notification message to the Line Notify of the owner of the smart flowerpot to refill the water and, in addition, the smart flowerpot was equipped with an RGB LED Module to show the soil moisture status. If the LED was green, it meant high humidity, yellow was moderate humidity, red was low, and users could also use the mobile application to manage and display sensor values in order to let them know the status of the smart flowerpots. The researcher designed the Architecture of Smart Flowerpot by using the Internet of Things and brought it to five Information Technology and Computer Science experts to assess the suitability. Overall evaluation, the average 4.55 SD 0.63, was suitable at the highest level.
The Effect of Material Present in the Void for Thermography Inspection in Concrete
Authors:   Civil Engineering Department, Manado State Polytechnic, Manado, Indonesia., Rumbayan Rilya
Published: November 2019

In the previous study by the author, a numerical model to predict the thermal contrasts resulting from subsurface voids (i.e. delaminations) in concrete under a given set of environmental conditions was developed using the finite element method. The model was verified using the experimental test data, and the results indicated that the model could be an effective tool to support the thermography inspection of the concrete. In this present study, the use of the verified model to evaluate the effects of materials present in the void created by the delamination expected to influence the detectability of the subsurface voids. The effect of this parameter on the thermal contrast developed on the surface above a subsurface delamination was assessed under a specific set of environmental conditions. The results indicated that air-filled void produced a significant thermal contrast compared to water-filled void, ice-filled void, and epoxy adhesive-filled void.
Assessment of the Susceptibility of Coals to Spontaneous Heating using Wet Oxidation Potential Difference Technique
Authors:   Department of Mining Engineering, Amet University, Chennai, India., Rajak Mithilesh Kumar , Pradhan Dr. G.K. ,   Department of Mining Engineering, AKS University, Satna., J. Dr. M.C. ,   Department of Petroleum Engineering, Amet University, Chennai, India.
Published: November 2019

This study is proposed to assess the susceptibility of coals from different Indian coal mines and correlation study to fi nd out the suitability of the methods for assessment of spontaneo us heating of coals. The wet oxidation potential difference experiments (WOPD) were conducted forT20TdifferentTcoalTsamplesTcollected from different India coal mines. the coal samples were collected by channel sampling and prepared according to the Indian Standards. the energy content of all the coal samples in terms of calorific values was measured with the Bomb Calorimeter and proximate analysis was also conducted so as to obtain volatile matter, fixed carbon, moisture content and calorific value. Correlation study was carried out to find the suitability of the methodto assess the spontaneous heating sus ceptibility of coal. Generally, Crossing Point Temperature (CPT) method is used for assessment of spontaneous heating susceptibilit y of coal. However, this method has certain drawbacks. The results are depend re not reproducible. More over, it takes long hours (more than three hours) to complete the experiment. In comparison to CP, WOPD experiments only takes about 40 minutes for completion and the results are reproducible as well. From the correlation analysis, it was found that WOPD indicated a very fair accuracy for the measure of spontaneous heating susceptibilityas it showed high correlation with the intrinsic propertiessuch as moisture and volatile matter.
E nhancement of Surface Quality of AISI D3 Steel after Electrical Discharge Machining (EDM) with Aluminium P owder M ixed in the Di electric
Authors:   Department of Mechanical Engineering, Aliah University, Kolkata, India., Haque* R. , Sekh M. ,   Department of Mechanical Engineering, Aliah University, Kolkata, India., Kibria G. ,   Department of Mechanical Engineering, Aliah University, Kolkata, India., Haidar S. ,   Department of Mechanical Engineering, Aliah University, Kolkata, India.
Published: November 2019

Electrical Discharge Machining is an advanced machining method with various advantages, as a result of which, its use is becoming more & more widespread. This process is one of the modern machining processes which is characterized by the absence of plastic deformation and chip formation. The advancement of this process may further be enhanced by utilizing powder particles within dielectric medium that is designated as Powder Mixed Electrical Discharge Machining (PMEDM) process. In the current study, to enhance the surface roughness (SR) of AISI-D3 tool steel using Copper and Brass as electrode and Aluminium (Al) as powder by utilising PMEDM process, an experimentation has been carried out. During experimentation, pulse on and off time, peak current and powder concentration are considered as input process parameters. From the experimental results, it is noted that with mixing of aluminium powder in dielectric medium, surface roughness has increased significantly. Moreover, it is seen that powder concentration of 1 g/l at 1 A peak current giving better surface quality of AISI-D3 steel. This indicates the enhancement of Electrical Discharge Machining (EDM) performance dispersing aluminium powder in dielectric fluid.
Node Burden based Load balancing Management Method for Extended Network Lifetimes of WSNs
Authors:   Department of Electrical and Computer Engineering, Sungkyunkwan University, Suwon, Republic of Korea., Ahn Jung-sub , Cho Tae-ho ,   Department of Software Platform, Sungkyunkwan University, Suwon, Republic of Korea.
Published: November 2019

The sensor nodes of a wireless sensor networks (WSNs) are difficult to replace when they fails after deployment. Sensor nodes are small and low-cost due to limited resources and are vulnerable to several types of application attacks. To solve this problem, many security protocols have been meticulously researched considering the energy efficiency and network attacks. The statistical en-route filtering (SEF) scheme has been proposed to detect bogus data and false report injection attacks that reduce network life. SEF performs early filtering of modulated data using the en-route technique. Deployed nodes transmit a report to the sink node through hop-by-hop communication, and as a result nodes close to the sink node have a relatively high burden. Although many studies have been proposed to improve the energy efficiency of each node based on the SEF scheme, these studies are not considered the Burden of the cluster. A cluster with a high burden exhausts the node energy faster than another cluster with low burden. If a cluster in the upper stream is depleted, it will not be able to receive reports from many regions in the lower stream. Therefore, the SEF should be used to determine proper routing while considering the node density to increase the lifetime of the network. In this paper, we propose a method to control the load balancing of nodes considering the burden ratio and density of nodes. The cluster head node controls the route path using additional cluster information in the proposed scheme. The experimental results show that the proposed scheme prolongs the network lifetime efficiency by 35.645% compared to the existing scheme.
Effect of Hydrogen Energy Share on a Hydrogen Diesel Dual Fuel Mode using a Common Rail Direct Injection System
Authors:   Automotive Research Center, School of Mechanical Engineering, Vellore Institute of Technology, Vellore, Tamilnadu, India., Sathishkumar S. , Ibrahim M. Mohamed ,   Automotive Research Center, School of Mechanical Engineering, Vellore Institute of Technology, Vellore, Tamilnadu, India.
Published: November 2019

This research work was aimed to investigate the maximum possible utilization of hydrogen energy in CI engine with diesel fuel replacement on energy share basis in hydrogen diesel dual fuel (HDDF) mode using common rail direct injection diesel engine. In HDDF mode, experiments were performed at two load conditions such as 3 and 5 bar of brake mean effective pressures (BMEPs). At a BMEP of 3 bar, the maximum hydrogen energy share (HES) could be reached to 50.1% without erratic engine operation, the level of NO, HC, CO and CO2 emissions were decreased up to 18%, 62%, 56% and 45% as compared with neat diesel case. However, there was no significant change in brake thermal efficiency (BTE) and smoke at high HES. At a BMEP of 5 bar, the maximum possible hydrogen energy share was nearly 40%, beyond this energy share severe knocking was noticed. NO emission was raised by 48%, whereas smoke and CO2 emission were decreased up to 20% and 24%. The brake specific HC emission was increased by 42% and there was no significant variation in CO emission with HES.
Optimal Accuracy Zone Identification in Object Detection Technique – A Learning Rate Methodology
Authors:   Research Scholar, Computer Science & Systems Engineering, Andhra University College of Engineering, Andhra University, Visakhapatnam (AP), India., Anusha Chamarty , Avadhani Dr. P S ,   Professor, Computer Science & Systems Engineering, Andhra University College of Engineering, Andhra University, Visakhapatnam (AP), India.
Published: November 2019

In the recent past, Deep Learning models [1] are predominantly being used in Object Detection algorithms due to their accurate Image Recognition capability. These models extract features from the input images and videos [2] for identification of objects present in them. Various applications of these models include Image Processing, Video analysis, Speech Recognition, Biomedical Image Analysis, Biometric Recognition, Iris Recognition, National Security applications, Cyber Security, Natural Language Processing [3], Weather Forecasting applications, Renewable Energy Generation Scheduling etc. These models utilize the concept of Convolutional Neural Network (CNN) [3], which constitutes several layers of artificial neurons. The accuracy of Deep Learning models [1] depends on various parameters such as ‘Learning-rate’, ‘Training batch size’, ‘Validation batch size’, ‘Activation Function’, ‘Drop-out rate’ etc. These parameters are known as Hyper-Parameters. Object detection accuracy depends on selection of Hyper-parameters and these in-turn decides the optimum accuracy. Hence, finding the best values for these parameters is a challenging task. Fine-Tuning is a process used for selection of a suitable Hyper-Parameter value for improvement of object detection accuracy. Selection of an inappropriate Hyper-Parameter value, leads to Over-Fitting or Under-Fitting of data. Over-Fitting is a case, when training data is larger than the required, which results in learning noise and inaccurate object detection. Under-fitting is a case, when the model is unable to capture the trend of the data and which leads to more erroneous results in testing or training data. In this paper, a balance between Over-fitting and Under-fitting is achieved by varying the ‘Learning rate’ of various Deep Learning models. Four Deep Learning Models such as VGG16, VGG19, InceptionV3 and Xception are considered in this paper for analysis purpose. The best zone of Learning-rate for each model, in respect of maximum Object Detection accuracy, is analyzed. In this paper a dataset of 70 object classes is taken and the prediction accuracy is analyzed by changing the ‘Learning-rate’ and keeping the rest of the Hyper-Parameters constant. This paper mainly concentrates on the impact of ‘Learning-rate’ on accuracy and identifies an optimum accuracy zone in Object Detection.
Modeling and Controller Design for Pneumatic Artificial Muscle for Ankle-Foot Orthotic Device
Authors:   Assistant Professor at AIACTR Delhi, Government of NCT of Delhi, India., Kumar Avinash , Tewari Ravi Prakash ,   Professor of Applied Department of Mechanics  MNNIT Allahabad, Prayagraj, (U.P), India.
Published: November 2019

In the present era Electric motors are most commonly used actuators for various robotic and bio-robotic applications. However, the functioning of electric motor is not similar to human skeletal muscles. Also, the electric motors are prone to harm human beings in case of failure. Hence, the present work has focused on exploring a bio-inspired actuator, which functions similar to human skeletal muscles and is safe for human beings. The literature review has revealed that such an actuator is pneumatic artificial muscle (PAM). In the present work the researchers have focused on developing an efficient model and control strategy for PAM in order to use it for bio robotic applications. An experimental setup has been prepared to analyze the behavior of PAM for different speeds of operation and different loading conditions during inflation/ deflation. Based on the experimental datasets an experimental model of PAM and Proportional Pressure Regulator (PPR) has been developed using polynomial curve fitting tool of MATLAB. Then a switched mode feedback PID control strategy has been developed for PAM which takes care for the hysteresis behavior of PAM. The control strategy has been simulated to achieve the trajectory angle tracking of ankle joint during the complete gait cycle. The simulation of the proposed control strategy with the developed model has shown that the proposed approach works fairly well and the error in the ankle joint movement could be limited in the range of -0.8° to 0.6° for the complete gait cycle. The result obtained in the present study is similar to the results as reported in the literature. However, this could be achieved with less system complexity using simpler modeling technique and “switched mode feedback PID controller”, which has not been reported by any researcher till date.
Microstructure, Tensile Properties and Hardness Behavior of Al7075 Matrix Composites Reinforced With Graphene Nanoplatelets And Beryl Fabricated by Stir Casting Method
Authors:   Research Scholar, VTU Belagav, Assistant Professor, School of Mechanical Engineering, REVA University, Bengaluru, Karnataka, India., Patil Shanawaz , Haneef Dr. Mohamed ,   Professor, Department of Mechanical Engineering, Ramanagar, Karnataka, India.
Published: November 2019

In this research, an effort is made to familiarize and best potentials of the reinforcing agent in aluminum 7075 matrices with naturally occurring Beryl (Be) and Graphene (Gr) to develop a new hybrid composite material. A stir casting technique was adopted to synthesize the hybrid nanocomposites. GNPS were added in volume fractions of 0.5wt%, 1wt%, 1.5wt%, and 2wt% and with a fixed volume fraction of 6 wt.% of Beryl. As cast hybrid composites were microstructurally characterized with scanning electron microscopy and X-ray diffraction. Microstructure study through scanning electron microscope demonstrated that the homogeneous distribution reinforcement Beryl and GNPs into the Al7075 matrix. Brinell hardness and tensile strength of synthesized materials were investigated. The hybrid Al7075-Beryl-GNPs composites showed better mechanical properties compared with base Al7075 matrix material. The as-cast Al7075-6wt.% Beryl-2wt.%GNPs showed 49.41% improvement in hardness and 77.09% enhancement in ultimate tensile strength over Al7075 alloy.
MCEEP-BDA: Multilevel Clustering Based -Energy Efficient Privacy-Preserving Big Data Aggregation in Large-Scale Wsn
Authors:   Assistant Professor, Department of Computer Science Engineering, Karpagam Academy of Higher Education, Coimbatore, Tamilnadu, India., R Dhanapal. , D Selva Pandian ,   Assistant Professor, Department of Computer Science Engineering, Karpagam Academy of Higher Education, Coimbatore, Tamilnadu, India.,   Professor & Dean, Department of Computer Science and Engineering, SNS College of Technology, Coimbatore, Tamilnadu, India., S Karthik
Published: November 2019

In current scenario, the Big Data processing that includes data storage, aggregation, transmission and evaluation has attained more attraction from researchers, since there is an enormous data produced by the sensing nodes of large-scale Wireless Sensor Networks (WSNs). Concerning the energy efficiency and the privacy conservation needs of WSNs in big data aggregation and processing, this paper develops a novel model called Multilevel Clustering based- Energy Efficient Privacy-preserving Big Data Aggregation (MCEEP-BDA). Initially, based on the pre-defined structure of gradient topology, the sensor nodes are framed into clusters. Further, the sensed information collected from each sensor node is altered with respect to the privacy preserving model obtained from their corresponding sinks. The Energy model has been defined for determining the efficient energy consumption in the overall process of big data aggregation in WSN. Moreover, Cluster_ head Rotation process has been incorporated for effectively reducing the communication overhead and computational cost. Additionally, algorithm has been framed for Least BDA Tree for aggregating the big sensor data through the selected cluster heads effectively. The simulation results show that the developed MCEEP-BDA model is more scalable and energy efficient. And, it shows that the Big Data Aggregation (BDA) has been performed here with reduced resource utilization and secure manner by the privacy preserving model, further satisfying the security concerns of the developing application-oriented needs.
Autonomous Planetary Vehicle Development Platform
Authors:   Department of MCA, Dayananda Sagar College Of Engineering, Bangalore, Karnataka, India., Pal Bishwajit , Khaiyum Dr. Samitha ,   Department of MCA, Dayananda Sagar College Of Engineering, Bangalore, Karnataka, India.
Published: November 2019

This paper presents the design, architecture, and constructions of a planetary autonomous exploration vehicle platform, which can be used to develop and test Artificial Intelligence, based software and generate a large dataset for the training of neural networks. Rovers will be at the frontier of planetary exploration, capable of executing tasks without human supervision in a harsh and unpredictable environment, and to do so it requires real-time command execution to keep it away from a risky situation. Due to the limitations imposed by communication latency and small window to communicate through deep space satellites, existing mars rovers are semi-autonomous. To develop AI-based software for the rover, a low-cost alternative of a planetary rover is required to generate data from different types of sensors and actuators for a long duration of time and perform all possible scenarios and actions. Presently this task is done using simulation or replicas of the actual rovers used in planetary missions which are very costly. The proposed rover design is a low-cost alternative, capable of powering, driving varieties of sensors, scale up to new hardware and record data as specified by the user. It can also be used to test the newly developed algorithm before being tested on an actual rover. This platform can be used as a simulation platform for software as the proposed platform is directly in contact with the environmental factors.
Certain Properties of Komatu Integral Transform with Negative Coefficients with Reference to Uniform Starlike and Uniform Convex Functions
Authors:   Department of Mathematics, College of Engineering Guindy, Anna University, Chennai (Tamil Nadu), India., Prabhu* R.Ambrose , Bhaskaran S. ,   Department of Mathematics, College of Engineering Guindy, Anna University, Chennai (Tamil Nadu), India., Vanitha L. ,   Department of Mathematics, College of Engineering Guindy, Anna University, Chennai (Tamil Nadu), India., Kumar R.Ravi ,   Department of Mathematics, College of Engineering Guindy, Anna University, Chennai (Tamil Nadu), India.
Published: November 2019

The authors obtained a new subclass about strongly starlike and strongly convex functions with respect to Komatu integral transforms and the inclusion properties of these classes such as 𝓢𝒑𝑻(𝝀,𝑰𝝂𝝆) and 𝓤𝓒𝓥𝓣(𝝀,𝑰𝝂𝝆) were discussed . Furthermore, a new subclass about uniformly starlike functions along uniformly convex functions including negative coefficients defined by the Komatu integral transforms are introduced. The various properties about these classes are obtained here including (for instance) coefficient estimates, extreme points, distortion and covering theorems. Mathematics Subject Classification: Primary 30C45
Asserting Factors of Consumer Purchase Intention towards Chinese Products on M Commerce Platform
Authors:   Research Scholar, Institute of Management Studies, BHU Varanasi-221005, U.P, India, Gupta* Mr. Om Jee , Singh Dr. Anurag ,   Associate Professor, Institute of Management Studies, BHU Varanasi-221005, U.P, India, Rai Dr. Pratibha ,   Assistant Professor, PSIT College of Higher Education, Kanpur, U.P, India
Published: November 2019

The presence of Chinese products around the world is a reality. No country is left without using Chinese products, India is no exception to this fact. On the other side, M-Commerce platform is becoming popular among Indian consumers in their day to day purchasing. Factors that has an influence on purchase intention, has been casted in this study. Hence this article aims to validate factors i.e. Trust, Quality, Design, and Price in context of Chinese product on M-Commerce. Researcher has used primary and secondary data for this study. Secondary data was collected from research papers and based on expert opinion. Primary data was collected from India. Judgmental sampling technique used in this study. Sample size was 350 respondents. Researcher has used CFA method to validate the factors. Results shows, convergent validity, discriminant validity, and Model fit indices, have met the criteria. These Factors were found to be significant driver of Purchase Intention. Then Managerial implications were drawn for domestic marketer, Chinese marketers, and the marketers from other parts of the world.
New Method for Diagnostic of Heat Engineering and Mechanical Properties of Cellular Concrete
Authors:   Doctor of Technical Sciences, professor, Tashkent Institute of Railway Engineers, Uzbekistan., Anvar* Adilhodzhayev , Said Shaumarov ,   Ph.D. in Technical Sciences., Assoc. prof., Tashkent Institute of Railway Engineers, Uzbekistan., Elena Shipacheva ,   Doctor of Technical Sciences, professor, Tashkent Institute of Railway Engineers, Uzbekistan., Ulugbek Shermuhamedov ,   PhD in Technical Sciences., Assoc. prof, Tashkent Institute of Railway Engineers, Uzbekistan.
Published: November 2019

The article presents the results of studies assessing the structure of cellular concrete using a photo-optical method based on the use of a modern approach from the standpoint of information technology. Based on the photo-optical method, a reverse formulation of the problem is also possible: on the basis of a given percentage of porosity of the material, obtain the most optimal pore arrangement (type of packaging) that meets the specified strength and thermal conductivity of aerated concrete. Having a specific type of image of aerated concrete obtained as a result of modeling, otherwise, a specific type of packing of pores of certain sizes that meets the required (specified) characteristics, then, we can set the technological task of obtaining it.
Optimization of Parameters and Modes of Operation of the Disk of the Working Organ to the Cotton Cultivator to Destroy the Soil Crust
Authors:   Doctor of Philosophy in Technical Sciences, Tashkent Institute of Irrigation and Agricultural Mechanization Engineers, Tashkent, Uzbekistan, Bakhtiyar* Artikbaev
Published: November 2019

The article presents the results of experimental researches on the optimization of parameters of disk working body of cotton cultivator for destruction of soil crust. On the basis of the results of the received data of experimental researches it is established that at diameter of disks of a working body D=240-250 mm, distance between disks l=50 mm, vertical loading on disks Q=225-250 N and speed of movement of the unit Va=5,2-7,6 km/h the required degree of destruction of a soil crust at the minimum damage of plants of a cotton is provided.
Qua si Static Indentation Behavior o f Nanoclay Chopped Carbon Fibres Composites
Authors:   Faculty of Mechanical Engineering, Universiti Teknologi MARA, Shah Alam, Selangor, Malaysia., Jumahat* Aidah , Roslan Adila Nalisa Mohd ,   Faculty of Mechanical Engineering Universiti Teknologi MARA, Cawangan Terengganu, Kampus Bukit Besi, Terengganu, Malaysia., Sapiai Napisah ,   Faculty of Mechanical Engineering, Universiti Teknologi MARA, Shah Alam, Selangor, Malaysia., Ramlan Husna Zaemah ,   Faculty of Mechanical Engineering, Universiti Teknologi MARA, Shah Alam, Selangor, Malaysia.
Published: November 2019

This paper presents the Quasi Static Indentation (QSI) behavior of the chopped carbon fibre composites with three different loadings of nanoclay. The composites, which are Carbon fibre (CF), 1wt% Nanoclay–Carbon Fibre (1NC-CF), 3wt% Nanoclay–Carbon Fibre (3NC-CF) and 5wt% Nanoclay–Carbon Fibre (5NC-CF) were prepared using hand lay-up method. The nanoclay was dispersed using a three roll milling machine. The 10wt% of chopped carbon fibres with 3-5 mm length were used in fabricating these composites. The QSI test was conducted using Universal Testing Machine according to the ASTM D6264. The damage section was examined using optical microscopy. The results show that the energy absorbed was increased with addition of nanoclay up to 81.42 %, 137.69 % and 202.95 % for 1NC-CF, 3NC-CF and 5NC-CF composites, respectively. It was concluded that the addition of the nanoclay enhanced the QSI of chopped carbon fibres composites.
Analysis and Evaluation of a Coriolis Acceleration Experimental Device
Authors:   Faculty of Mechanical Engineering, Universiti Teknologi MARA, 40450 Shah Alam, Selangor, Malaysia., Hashim* Hafizan , Hashim Hanita ,   Faculty of Engineering and Life Sciences, Universiti Selangor, Berjuntai Bestari, Malaysia.
Published: November 2019

The Coriolis acceleration is the product of linear and rotational velocities. Acceleration analysis is important because inertial forces are proportional to their rectilinear, angular, and Coriolis accelerations. The magnitudes of Coriolis acceleration vary according to the conditions of motions of an object. This paper presents kinematic analyses of a preliminary design of a Coriolis kit. The Coriolis kit consists of a rotating rod and a slidable collar. A motor is used to rotate the rod and accelerometer is attached to the slider for recording the accelerations. The Coriolis effect is visualized through the mark left by the slider during motion. Common analytical expressions of the Coriolis acceleration are derived and calculated using measured values. Results show that the Coriolis kit is capable to visualize and sketch the travelling path of the object in motion.
Impact Properties o f Nanomodified Basalt Fiber Reinforced Polymer Composites
Authors:   Faculty of Mechanical Engineering, Universiti Teknologi MARA, 40450 Shah Alam, Selangor, Malaysia, Mohamad* Nurul Emi Nur Ain , Jumahat* Aidah ,   Faculty of Mechanical Engineering, Universiti Teknologi MARA, 40450 Shah Alam, Selangor, Malaysia., Arthur Anthony ,   Faculty of Mechanical Engineering, Universiti Teknologi MARA, 40450 Shah Alam, Selangor, Malaysia., Ismail Mohd Fadzli ,   Faculty of Mechanical Engineering, Universiti Teknologi MARA Cawangan Johor, Malaysia.
Published: November 2019

Basalt fibre reinforced polymer composite is a newly versatile material that has good potential to be used in many applications due to its high specific modulus and strength properties. This paper is aimed to evaluate the response and properties of BFRP composite when it is subjected to low-velocity impact loading. The BFRP laminates were fabricated using vacuum bagging method. The effects of 5, 10 and 15wt% nanosilica particles on density, impact load and energy absorbed were investigated using a drop weight impact test. The damage characteristics of the samples were examined using an optical microscope. The addition of 15wt% nanosilica into Basalt fiber reinforced polymer composite significantly improved the energy absorption properties of the specimens. This suggests that the nanomodified BFRP composite has better damage resistance properties when compared to the pure system.
Prediction of Bone Damage Formation in Resurfacing Hip Arthroplasty
Authors:   Faculty of Mechanical Engineering, Universiti Teknologi MARA, Shah Alam, Selangor, Malaysia., Izmin* Aiman , Todo M. ,   Research Institute for Applied Mechanics, Kyushu University, Japan., Abdullah A.H. ,   Faculty of Mechanical Engineering, Universiti Teknologi MARA, Shah Alam, Selangor, Malaysia.
Published: November 2019

Resurfacing Hip Arthroplasty (RHA) is a hip replacement method that is widely known nowadays. However, the complication on femoral bone fracture often happens in this hip replacement method which associated with the implant positioning. The objective of this study is to predict the damage formation on the bone which resulting from the RHA pin malposition. Finite element analysis was conducted in order to predict the damage formation on the bone model based on the computed tomography (CT) image of a patient. A 3D inhomogeneous bone model was developed from a 47 year old patient with an osteoarthritis disease located on the left femur. The material used for the RHA implant model is cobalt chromium and the implant is then being inserted into the femoral bone. Straight implant position with angle 130° was selected as a reference in the analysis while another three position of varus (> 130°) and valgus (<130°) were selected and known as the pin malposition. The simulation was conducted on each of the selected angles in order to predict the damage formation towards the bone model. The damage formation obtained was from the results of elements failure which occurred after applying the load. Physiological loading of a human which focusing on the normal walking condition was selected as the loading and boundary condition in this study. The femoral bone model experienced the highest damage formation when the implant located at the varus position while reduced significantly when the implant placed at the valgus position.
The Thermal Conductivity of 8 Yttria Stabilized Zirconia and Mullite Thermal Barrier Coating on Medium Carbon Steel Substrate
Authors:   Faculty of Mechanical Engineering, Universiti Teknologi MARA, Shah Alam, Selangor, Malaysia, Zaini* Muhammad Syazani Farhan bin , Adenan* Mohd Shahriman bin ,   Faculty of Mechanical Engineering, Universiti Teknologi MARA, Shah Alam, Selangor, Malaysia., Saedon Juri bin ,   Faculty of Mechanical Engineering, Universiti Teknologi MARA, Shah Alam, Selangor, Malaysia, Mamat Aman Mohd Ihsan bin ,   Faculty of Mechanical Engineering, Universiti Teknologi MARA, Shah Alam, Selangor, Malaysia
Published: November 2019

Thermal conductivity is one of the main features of a thermal barrier coating (TBC) that is important in making sure that the TBC gives its best functionality to the system. A good TBC has low thermal conductivity, so that the temperature can drop across the coating which allows the system to operate in extremely high temperatures. There are several factors that can influence the thermal conductivity of the TBC such as the type of ceramic material used, the deposition method and the physical features of the TBC itself. For this research, air plasma spray (APS) is used to deposit 8 wt% yttria stabilized zirconia (8YSZ) and mullite on medium carbon steel substrates to study their respective thermal conductivities. The aim here is to develop a heat shield using TBC to protect the electric motor in an electrical turbocompounding system. The characteristics of the deposited TBC such as microstructure, element composition, phases and thermal conductivity are studied. The thermal conductivity is reduced when medium carbon steel substrate deposited with TBC. The thermal conductivity of 8YSZ, mullite and uncoated sample at minute 60 is 0.868 W/mK, 0.903 W/mK and 1.057 W/mK, respectively. Therefore, the deposition of 8YSZ TBC can lower the thermal conductivity of the medium carbon steel heat shield.
Effects of Mesoporous Silica Addition on Electrochemical Properties of Carbon Electrode
Authors:   Faculty of Applied Sciences, Universiti Teknologi MARA, Shah Alam, Selangor Malaysia,, Saad Noramira , Jalil* Mohammad Noor ,   Faculty of Applied Sciences, Universiti Teknologi MARA, Shah Alam, Selangor, Malaysia, Zain Zainiharyati Mohd ,   Faculty of Applied Sciences, Universiti Teknologi MARA, Shah Alam, Malaysia,, Zaki Hamizah Mohd ,   Faculty of Applied Sciences, Universiti Teknologi MARA, Shah Alam, Malaysia
Published: November 2019

Mesoporous silica is material that possesses the pore sizes between 2 nm to 50 nm which had expanded their applications rapidly. In this study, mesoporous SBA-15 and SBA-16 were synthesized via surfactant templating approach using triblock copolymer as directing agent and tetraethyl orthosilicate (TEOS) as silica source. The synthesized materials were characterized by X-ray diffraction (XRD) spectroscopy, scanning electron microscopy (SEM) and nitrogen absorption-desorption tests. The pore diameters are 5.5 nm and 3.2 nm for SBA-15 and SBA-16 respectively, were determined with BJH method based on adsorption data. Three different electrodes were fabricated, carbon paste electron (CPE) and two modified carbon paste electrodes (MCPE): SBA-15/MPCE and SBA-16/MPCE. The fabricated electrodes were tested using cyclic voltammetry (CV) and electrochemical impedance spectroscopy (EIS). SBA-16/MCPE showed better adsorption, enhanced the response signal to 81% and a lower resistance (4.04KΩ). The synthesized mesoporous materials have the potential to be used in the development of high performance, lightweight and flexible devices in electrochemistry