bluuebunny/crossref_metadata_2025 huggingface dataset:
A Study of Psychosocial Factors Related to Preserving Thai Traditions of Undergraduate Students
Authors: Sitsira-at Shuttawwee
Published: July 2019

This correlational comparative study aimed at investigating important psychological and situational predictors of preserving Thai traditions, as well as, finding the groups at risk of not preserving Thai traditions. The sample of 1,297 undergraduate students from 10 universities in junior and senior levels was obtained. The sample consisted of 265 male students and 1,032 female students. The stratified quota random sampling was used. The hypotheses are tested by Multiple Regression analysis. Results of the research found that the positively correlation between students’ psychological traits, social situations, psychological states and preserving Thai traditions is statistically significant at .01. Results of the total sample from multiple regression analysis indicated that behavioral intention to Thai-value was the first important predictor of this behavior, followed by social norm, cultivated by families, opening for information, role model, core-self-evaluation, attitude toward Thai products, psychological immunity, perceived ease of shopping Thai products, ego identity, and Future orientation and self-control with the accuracy of 45.3%. The highest predictive percentage of 31.6% was found in male students with the same important predictors as the total group. Furthermore, the results showed that male in senior students were the groups at risk of not preserving Thai traditions.
Construction of Attitude Towards Punctuality Scale for University Students and Relationships to CSE and FTP
Authors: Bhanthumnavina Duangduen , Bhanthumnavinb Duchduen , Sorodc Bung-On
Published: July 2019

Time is essential in the modern industrial-technology society. In order to enhance time management skills in university students, Attitude toward punctuality Scale (ATP) was constructed. There were four studies with the total sample of 1,325 university students in Thailand. Eighty-three items were constructed, but only 36 items were selected by a group of experts. A six \unit rating scale accompanied each of the item, ranging from 1 “not true at all” to 6 “extremely true”.  In study1 with 200 students, 31 out of 36 items met the criteria for item quality.  Results from EFA in study 2 using new 500 students revealed a three-factor model (5 items for cognitive aspect, 4 items for behavioral intention aspect, and 3 items for affective aspect) with the total of 12 items and 59.303% of the total variance accounted for. In study 3 using another 300 students, this model was confirmed by CFA. In study 4 using 225 students, it was found that CSE and FTP were positively and significantly related to the newly constructed ATP (r = .357 and .256, respectively). Furthermore, ATP could predict punctual behavior beyond CSE and FTP for 26.500% with the total of 38.40%. The importance of ATP was discussed. Future experimental studies, as well as, possible intervention programs are suggested.
Academic Inculcating Behavior Scale and Validation using CSE and PsyCap in Diverse Faculty Members
Authors: Bhanthumnavin Duchduen
Published: July 2019

Academic Inculcating Behavior Scale (AIB) for faculty members in university was constructed for assessing and developing university lecturers’ quality. There were four studies with the total sample of 828 university faculty members in Thailand. Ninety items were assembled, but only 31 items were selected by a group of educational-behavioral science experts. In study1 with 100 respondents, 25 out of 31 items met the criteria for item quality.  Results from EFA in study 2 using 300 new respondents revealed a three-factor model (4 items for giving positive reinforcement, 3 items for giving social support, and 4 items for modeling and preventive action) with the total of 11 items and with 59.131% of the total variance accounted for. This model was confirmed by CFA with another 300 respondents in study 3. In study 4, using 128 respondents, criterion-related validity of the AIB scale score was demonstrated by the predictive power of four independent variables by performing multiple regression analysis. Three independent variables which were positively related to AIB were CSE, PsyCap, and level of education of the respondents. Furthermore, it was found that faculty members with doctoral degree reported higher score of AIB than the ones with Master’s degree. The results showed that AIB measure has acceptable qualifications. However, more predictors of AIB should be investigated and confirmed by experimental studies. Consequently, the necessity to carry out intervention program for faculty members can be met with success. This will benefit the students, as well as ensuring that higher educational institutions can perform their expected functions.
Justification of the optimal ratio of components in macaroni products enriched with composite mixture
Authors: Aptrakhimov Denis , Mardar Maryna , Evtushenko Anatolie , Smolnikova Farida , Prokhasko Lubov , Rebezov Maksim , Khayrullin Mars
Published: July 2019

This article presents the results of mathematical calculations of nutritive value of macaroni product enriched with composite mixture. While creating the paste there was developed a composite mixture containing high-grade wheat flour, buckwheat and flax flour, and a characteristic of its biological value was obtained.
Management Ethics for Islamic Development Institutions in Malaysia: An Approach of Hisbah
Authors: Ibrahim Azrin , . .
Published: July 2019

The purpose of this study is to examine and highlight hisbah as a management ethical approach for Islamic development institutions. Generally, each institutions has its own ethic that has been gazette. However, this study attempts to emphasize hisbah as an approach in management ethics to be emphasized in the Islamic development institutions. This is because hisbah is a supervisory method born from Islamic epistemology and also practiced by the Prophet Muhammad SAW. Hisbah is also a holistic ethic because its application encompasses internal and external surveillance within each person. In addition, hisbah method also emphasizes the relationship between humankind and Allah SWT, human beings and human beings with natural resources. However, some issues must be resolved. What are the definitions and components contained in hisbah? How hisbah can be practiced as a management ethic for Islamic development institutions? This study is generally aimed to addressing these issues. This study applies descriptive research design and document study as a means of collecting data. Finally, this study found that hisbah has several components to be implemented as the ethical management for Islamic development institutions. In addition, the study also found that the adoption of hisbah as ethical in Islamic development institutions would create more disciplined, proactive and good employees as well as able to boost the performance of institutions to better performance.
The Effects of Interaction between Internal Auditor and Audit Committee on Fraud Detection in Malaysia
Authors: Lylia Hamdan Sunita , Jaffar Nahariah , Ab Razak Ruzanna
Published: July 2019

This study aims to examine the effect of interaction between internal auditor and audit committee on fraud detection in Malaysia.  Specific interaction is firstly; audit committee approving the appointment of chief audit executive, the evaluation of chief audit executive, the dismissal of chief audit executive, the internal audit budget and the internal audit plan or program.  Secondly, audit committee’s involvement in reviewing internal auditor’s work specifically; providing input for the internal audit plan, reviewing the results of internal auditing related to financial reporting, reviewing the results of internal auditing related to internal control, reviewing the results of internal auditing related to compliance with laws and regulation, reviewing the internal audit involvement in management responses to internal audit suggestions, reviewing the difficulties or scope restrictions encountered by internal auditors and reviewing the coordination between internal auditors and external auditors.  Survey questionnaires were mailed to internal auditors attached to 782 companies listed on Bursa Malaysia’s main market. The results of this study suggest that involvement of audit committee in approving chief audit executives’ matters is insignificant on internal auditors’ contribution to fraud detection.  However, audit committee’s involvement in reviewing internal auditors’ work significantly influence the internal auditors’ contribution in fraud detection.
Fostering the Usage of Flipped Classroom: Student Engagement, Student Content Interaction and Student Motivation
Authors: Hayati Nik Muhammad Naziman Yusrina , Farleena Mohd Aznan Nadia , Maziah Ab Rahman Siti , Haryanti Md Nor Nor , Idrus Syukurriah
Published: July 2019

Teaching and learning nowadays is different from past. Together with their environment where the students can easily have connected to internet and digital media make them ease to be technology savvy. Thus, flipped classroom become the option to the lecturer to change methods of teaching. However, there are lacked discussions in innovating teaching approach particularly in marketing. Hence, the objectives of this study to examine factors influencing the usage of flipped classroom and which factors contribute most to the usage of flipped classroom. The sampling of the data used is sample random sampling. The researcher will have used the structured questionnaire and divided into five sections including the demographic section. The study will analyze normality test, data cleaning, reliability test, descriptive and frequency analysis, Pearson correlation and Multiple Regression to test the hypothesis. Apparently, the expected result will be used to recommend in order having better understanding in student’s learning particularly in using technology.
Digital Image Correlation (DIC) Technique for Fatigue Crack Growth Analysis Using âˆ†CTOD Criteria
Authors: B. Patil Akshay , P. Toppo Suraj , RKP Singh Dr.
Published: July 2019

The present paper deals with an experimental determination of fatigue crack growth rate (FCGR) of microalloyed steel (38MnVS6) to study the crack propagation in forged automobile crankshafts. The criterion based on crack tip opening displacement range (âˆ†CTOD) is used to investigate the fatigue crack growth rate. In the current work use of 2D-digital image correlation (DIC) technique for the measurement of crack tip opening displacement (CTOD) and crack length (a) is proposed. Digital Image Correlation (DIC) is a full field displacement and strain measurement technique. It is easier to measure the crack tip opening displacement (CTOD) and crack length (a) with this technique than other. Fatigue crack growth curve based on crack tip opening displacement (CTOD) criteria is presented using DIC.Â Â
Using Waste from Food Cans as Electrode in Electrocoagulation for Wastewater Treatment
Authors: Soonsorn Chanchanok , Khuanmar Kulyakorn , Padungthon Surapol , Weerayutsil Panomchai
Published: July 2019

Wastes from soda and milk cans which contain metals can be used as electrode in Electrocoagulation (EC) technique. The study used wastewater from dyeing and finishing process of textile factory. Both the electrodes made from soda cans and milk cans were compared to the conventional electrodes made from aluminium sheet. Characterization of aluminium (Al) element in electrode showed 67.28% in aluminium sheets, 4.99% in soda cans, and 0% in milk cans. Nevertheless, only milk cans contain iron (Fe) and tin (Sn) at 45.87% and 23.87%, respectively. Based on treatment efficiency in COD removal from the real wastewater, it turned out that the highest efficiency was from aluminium sheets, at 83.57%, whereas soda-can electrodes and milk-can electrodes were 80.71% and 71.14%, respectively. This could result from the fact that soda-can electrodes contain high percentage of aluminium while milk-can electrodes have no aluminium, leading to its low efficiency. Although Fe in milk can function as electrodes, the efficiency cannot be compared to electrodes made from soda cans. Therefore, soda cans make an efficient material for electrodes because of its high percentage of aluminium. Analysis of SEM images demonstrated compactly agglomerated sludge from aluminium electrodes and soda-can electrodes. The image from testing milk can material demonstrated in contrast loosely agglomerated sludge. It can be concluded that the use of electrodes containing aluminium produces relatively more effective sedimentation. Â Â Â Â Â Â
Methane Production in Batch Anaerobic Digestion of Livestock Manures with Different Substrate Concentrations
Authors: Yodthongdee Supawadee , Weerayutsil Panomchai , Khuanmar Kulyakorn
Published: July 2019

This research aimed to evaluate the biochemical methane potential (BMP) of three livestock manures including swine manure (SM), chicken manure (CM), and dairy manure (DM) under the same conditions in batch anaerobic digestion (AD) including inoculum to substrate ratio, temperature, digestion time, concentration of total solids in the system, and reactor size.Â  The experiments were performed on individual manure, 2-manure mixture, and 3-manure mixture.Â  For the individual manure experiments, BMP of SM, CM, and DM were 326.97, 306.60, and 105.30 mL/gVSadded; and volatile solids (VS) removal values were 66.31, 62.47, and 52.02%, respectively. In the 2-manure mixture; SM: DM, SM: CM, and CM: DM ratios of 90:10%TS, the BMP were 278.15, 264.47, and 252.80 mL/gVSadded, respectively. In the 3-manure mixture, the maximum BMP was 200.82 mL/gVSadded under the SM: CM: DM combination of 74:20:6%TS. The conditions of the 3 experiments were similar: the total solids concentration at 20% of working volume and the temperature of 37Â°C. It could be concluded that each manure i.e., SM, CM, and DM could be used as raw material for methane production by anaerobic digestion. SM generated the highest BMP, followed by CM and DM, respectively.Â  However, DM should not be used as raw material alone, except combining it with SM or CM for better methane production. Â Â Â Â
Simplified Computer Program for Ocean Wave Simulation
Authors: Idris Ahmad , Sati Hamonangan Harahap Indra , Osman Ahmed Ali Montasir
Published: July 2019

Analysis and design of structures located offshore involves the simulation of the ocean wave process in order to select a design load. This is a rigorous process that involves the solution of difficult mathematical equations. This study presents an efficient computer program for the simulation of the wave. The program was designed in such a way that only the wave parameters for a given location are required as input. The program then simulate the wave using Karhunen-Loeve series representation in which the eigenfunctions of Prolate Spheroidal Wave Functions are developed and used. The use of the program was demonstrated by simulating an example wave. Â Â Â
Preliminary Study on Energy Consumption at UiTMCPP library using IES simulation
Authors: Hussin Norasikin , Baharum Faizal , Abd Razak Azli , Syihabuddin Suhaimi Muhammad
Published: July 2019

The Universiti Teknologi MARA Cawangan Pulau Pinang (UiTMCPP) library building was consists of three-story including office, reading area, multi-media room, and meeting room. Based on the library record where the average number of students coming to the library is 257 students per day. In other words for an hour, only 17 students have come to the library. The occupantâ€™s claimed that they feel uncomfortable because of the cold temperature in the building. Currently, the air conditionerâ€™s setting temperature of the building is 17ÂºC and does not follow the requirement in the Malaysia Standard, MS1525. Therefore, the aim of this case study is to investigate the thermostat temperature in order to control the energy consumption and cost of saving in the library building. In this work, the set point was changed from 17ÂºC to 20ÂºC. This adjustment was referring to the MS1525. The IES software is used as the energy simulation tool to calculate and compare electricity cost and energy consumption. The finding from the simulation shows the annual energy consumption at 17Â°C and 20Â°C are 6.14Gwh per year and 5.03Gwh per year, respectively.Â  Thus, the energy saving was increased by 1.11Gwh per year and cost of electricity was save by RM402 thousands per annum.Â  Finally, it can be shown that the raising of the set point can minimize the energy consumption and electricity cost with 18% reduction per year.Â Â
Brain Image Segmentation with Gradient Information
Authors: Purwani Sri , Nahar Julita , Twining Carole
Published: July 2019

Segmentation is the process of extracting structures within the images. The purpose is to simplify the representation of the image into something meaningful and easier to analyse.Â  A magnetic resonance (MR) brain image can be represented as three main tissues, e.g. cerebrospinal fluid (CSF), grey matter and white matter. Although various segmentation methods have been developed, such images are generally segmented by modelling the intensity histogram by using a Gaussian Mixture Model (GMM). However, the standard use of 1D histogram sometimes fails to find the mean for Gaussians. We hence solved this by including gradient information in the 2D intensity and intensity gradient histogram. We applied our methods on real data of 2D MR brain images. We then compared the methods with the previous published method of Petrovic et al. on their dataset, as well as on our larger datasets extracted from the same database of 3D MR brain mages, where the ground-truth annotations are available. This shows that our method performs better than the previous method.Â Â
Aerodynamics and Modal Analysis for the Combined Vane type Vertical Axis Wind Turbine
Authors: H. Suffer Kadhim , Y. Kahtan Yassr , M. Razlan Zuradzman
Published: July 2019

The present global energy economy suggests the use of renewable sources such as solar, wind, and biomass to produce the required power. The vertical axis wind turbine is one of wind power applications. Usually, when the vertical axis wind turbine blades are designed from the airfoil, the starting torque problem begins. The main objective of this research is to numerically simulate the combination of movable vanes of a flat plate with the airfoil in a single blade configuration to solve the starting torque problem. CFD analysis in ANSYS-FLUENT and structural analysis in ANSYS of combined blade vertical axis wind turbine rotor has been undertaken. The first simulation is carried out to investigations the aerodynamic characteristic of the turbine by using the finite volume method. While the second simulation is carried out with finite element method for the modal analysis to find the natural frequencies and the mode shape in order to avoid extreme vibration and turbine failure, the natural frequencies, and their corresponding mode shapes are studied and the results were presented with damping and without damping for four selected cases. The predicted results show that the static pressure drop across the blade increase in the active blade side because of the vanes are fully closed and decrease in the negative side because of the all the vanes are fully open. The combined blade helps to increase turbine rotation and so, thus, the power of the turbine increases. While the modal results show that until the 5th natural frequency the effect of damping can be neglected. The predicted results show agreement with those reported in the literature for VAWT with different blade designs.Â Â Â
A Study on Optical Camera Communication using Gaussian Window
Authors: Young Park Chi , Young Shin Soo
Published: July 2019

Optical Camera Communication (OCC) is a Visible Light Communication (VLC) technique using a camera mounted on a digital device as a receiver. Nowadays, most digital devices are equipped with cameras using CMOS Image Sensors (CIS). In this paper, OCC is designed by using Rolling Shutter (RS), which is image output method of CIS. The transmitted data is captured using a camera application built in smartphone, and processed by MATLAB to restore the data. In this paper, we reduce the error rate by performing signal processing using Gaussian Window (GW) on the receiver side without using high-performance camera or directly controlling camera. In addition, we presented the avaliable range of transmission speed of OCC for indoor wireless communication and compared it with throughput in receiver side.Â Â
Pore types in the Blue Nile shale from the Blue Nile Basin using FE-SEM Method: Contribution to understanding gas storage
Authors: Adam Shoieb Monera , Weng Sum Chow , Suhaili Ismail Mohd , Tsegab Haylay , Saleem Tasneem
Published: July 2019

Successful exploration and development of shale gas reservoirs have enabled the United States to ensure a predominantly domestic supply of gas for many years. Pore structures can significantly impact the mechanical and physical properties of the rock such as permeability, strength and durability. Understanding the microstructures of the rocks accurately and quantitatively is essential to petroleum engineering for evaluating and development of oil and gas, especially for the unconventional reserves with abundant interior nanoscale pores such as shale. The pore structure and morphology of twelve shale samples from the Blue Nile Formation in the Blue Nile Basin were carried out by apply-ing Field emission scanning electron microscopy (FESEM). FESEM is a widely used technique to examine pore structures in shale reser-voirs. The results of FESEM show that the Blue Nile shale samples have nanoscale pores which can be classified into four types: inter-particle pores, organic pores, intra-particle pores and micro-fractures. The common types are inter-particle pores between the clay particles and organic nano-pores. These pores are all large enough to store gas molecules.Â Â Â
Variation of Particulate Matter (PM10) in a Semi-urban Area during 2015 Malaysia Haze
Authors: Bahiyah Abd Wahid Nurul , Abdul Razak Helmiah , Adawiyah Amzah Rabieatul
Published: July 2019

Particulate matter (PM10) is one of the most dangerous air pollutants released during haze phenomena which can disrupt lung function, circulatory system and reduce visibility. The aims of this study were to determine the trend of PM10 in Tanjung Malim, Perak during 2015 haze episode. The four months trend of PM10 was analyzed, along with daily trend for the highest concentration of PM10 recorded during the haze episode. In addition, the correlation between PM10 and meteorological parameters, such as wind speed, temperature, and humidity were also analyzed. Result indicated that, PM10 level during September and October 2015, have mostly exceeded the Recommended Malaysian Air Quality Guidelines (RMAQG) by Malaysian Government (150 Î¼g/m3). From the 72h backward trajectories, it can be stated that most of the pollutants came from biomass burning in neighbouring country, during the southwest monsoon. Changes in PM10 concentration were possibly influenced by meteorological factors which play an important role in haze episode.Â Â Â
Survey on data mining approach for analysis and prediction of student performance
Authors: Simon Chala , Bugusa Ybralem
Published: July 2019

The quality of education is measured by the academic performance of students and the results they produce. Since the student academic performance is the made up of the environmental, psychological, socio-economic and other factors, it is challenging to measure the aca- demic performance of students. Such difficulties can be reduced by investigation of various factors that influence the student perfor- mance. Many researchers have been used different approaches to identifying the variables that help to predict studentsâ€™ performance. This survey paper examines various data mining methodologies that have been used to analyze and predict studentsâ€™ performance.Â Â Â
Survey on content based image retrieval
Authors: Varma Ankitha , Kamalpreet Kaur Dr.
Published: July 2019

Now-a-days, because of the advancement in the digital technology and the use of internet, a huge amount of digital data is available in the form of medical images, remote sensing, digital museums, geographical information, etc. This has lead to the need of accurate and efficient techniques for the search and retrieval of relevant images from such voluminous datasets. Content based image retrieval (CBIR) is one such approach which is increasingly being used to search and retrieve query image from the databases. CBIR combines features of color, texture as well as shape which ease out the process of extracting desired information from the retrieved images. This paper pre- sents a systematic and a detailed review of the CBIR method along with the different databases and evaluation parameters used for the analysis. An attempt has been made to include an exhaustive literature survey of the various CBIR approaches.Â
Smart E bicycle: an efficient and effective way to greener future
Authors: Singh Harvinder , . Pinky
Published: July 2019

This paper presents and proposes a smart electric bicycle(SeB) leveraging the power of wireless technologies, artificial intelli- gence and cloud computing in order make its userâ€™s experience smooth, safe and enjoyable hence encouraging the user to choose SeB over other modes of transportation. The proposed system introduces an Electric Bicycle connected with a smartphone in one variant or with â€œsmartphone and cloudâ€ in another variant for smart decision-making and efficiency and other related tips for the user. The range of bicycle is predicted based upon the user profile (weight, age etc.), route details (inclinations, distances of al- ternative routes), State of Charge(Soc) and State of Health(SoH) of the battery used. Multiple user profiles and minute details of the route (slope, speed breakers etc.) are captured using sensor like accelerometer and basis on these data smart decisions for pow- er saving and range extensions are made. Also, safety critical and predictive maintenance features are presented.Â Â
The importance of big data technology
Authors: Fadiya Samson , Sari Arif
Published: July 2019

The adoption of Web 2.0 technologies, Internet of Things, etc. by individuals and organization has led to an explosion of data. As it stands, existing Relational Database Management Systems (RDBMSs) are incapable of handling this deluge of data. The term Big Data was coined to represent these vast, fast and complex datasets that regular RDBMSs could not handle. Special tools or frameworks were developed to deal with processing, managing and storing this big data. These tools are capable of functioning in distributed industry- standard environments thereby maintaining efficiency and effectiveness at a business level. Apache Hadoop is an example of such a framework. This report discusses big data, it origins, opportunities and challenges that it presents, big data analytics and the application of big data using existing big data tools or frameworks. It also discusses Apache Hadoop as a big data framework and provides a basic overview of this technology from technological and business perspectives.Â Â
Configuration of the instrumental tools for generation of text representations of object of the curated database
Authors: Yu. Ismailova Larisa , V. Kosikov Sergey
Published: July 2019

The paper considers the problem of configuring the instrumental tools (a workbench) for generating textual representations of objects in the curated database. A formal (formalized) representation of a fragment of a natural language sufficient to describe the content of data- base objects is proposed. Based on the matching of the expressive means of the proposed language, taking into account the general archi- tecture of the comprehensive information system, the configuration of support tools is proposed. The configuration provides support to the procedures for manipulating formal descriptions, including the ability to process both formal and textual representation of database objects. The approach has been tested in the field of support to the implementation of best available technologies.Â Â
Linear phase FIR filter to compute fetal heart rate variability
Authors: Marchon Niyan , Naik Gourish
Published: July 2019

Continuous monitoring of fetal heart rate (FHR) can detect the well-being of the fetus and thus indicates non-reassuring fetal status. In- vasive fetal electrocardiography (FECG) using the fetal scalp electrode applied to the fetus scalp allows accurate detection of fetal QRS (FQRS) complexes, however with a risk of infection to the fetus. We have proposed a non-invasive fetal heart rate (NIFHR) filtering technique employing finite impulse response (FIR) filters. We applied Fast Fourier Transform (FFT) to the Physionet abdominal ECG (aECG) records and derived the fiduciary edges of the spectrum of the FECG. A FIR band pass filter (BPF) is designed which is a com- posite filter consisting of a high pass filter (HPF) followed by a low pass filter (LPF) in that order. The cut off frequencies of these com- posite filters are the fiduciary edges of the fetal electrocardiography spectrum. A FQRS detector to obtain fetal heart rate variability (FHRV) processes the FQRS signal filtered through these composite FIR filters. It is observed that channel 4 from records r01 and r08 obtained 100% results for sensitivity, positive predictive value and accuracy while, the overall accuracy was 92.21%. This design can also be extended to compute maternal heart rate.Â Â
A way to support the transformation methods for the data in a semantic network
Authors: E. Wolfengagen Viacheslav , Yu. Ismailova Larisa , V. Kosikov Sergey
Published: July 2019

The paper considers the problem of building of the transformable object-relation mapping. It is shown that an essential part of the task is to get the conversion of data objects doing their representation adjusted for the corresponding data model. It is offered to receive the de- cision by a semantic method in case of which the formal models of object system and relational system are considered and their interpre- tations are set. The transformation mappings are considered as a kind of mappings saving interpretations of the given form. Creation of model of converting of data objects on the basis of applicative computing systems is offered what allows to build models of both object, and relational systems dipping in applicative structures with the given means of expression, in particular, to use a lambda-algebra or a lambda model. On this basis the models can be received allow compositions of means of converting and also determination and check of global restrictions for the changes of data determined by the given set of methods of converting. Achievement of flexibility requires use parameterization of the considered construction, i.e. support of dependence of a set of available methods of interpretation on parameters as which semantic characteristics of processed data appear. The prototypes of constructions of models have been used for informational legal supporting of implementation of the best available technology (or just BAT) in practice in Russia.Â Â
Analysis and tracking of animal movements through granulation of temporal domain (GTD)
Authors: Rawat Neelam , S. Sodhi J. , K. Tyagi Rajesh
Published: July 2019

Thanks to technological advancement in tracking systems, observing the moving patterns of a population is easier now. Capturing the movement patterns is mostly done through various tracking technologies like GPS, GIS etc. but these tracking systems basically require one or more combination of the same, and also, a node or tag to be placed on the moving object. Tracking of movement patterns basically employs a motion model which describes how the image of the object might change in different possible positions of the object during video surveillance. To track multiple objects without deformation during movement, the granulation of temporal domain (GTD) is pro- posed.GTD method is for demodulation of granule adaptation of video image segmentation on the basis of granular computing methodology. In image segmentation, i.e., image granulation through temporal domain, it improves the quality of surveillance important for wild-life protec- tion, and decision making in terms of security.Â Â
A survey on vision based techniques for detection and classification of fruit diseases
Authors: Kour VipponPreet , Arora Sakshi , Pal Singh Jasvinder
Published: July 2019

Indian economy depends heavily on its agriculture system. Horticulture sector has a major share in Indian agrarian economy. Therefore for agriculture industry to grow, the effective growth and improved yield of fruits is necessary. Diseased fruit production lays down various sensitive issues that can create various crises including reduced exports. To tackle such situations farmers need manual monitoring of fruits in all the development phases till harvest. But manual monitoring may not always give satisfactory results, owing to the subjective nature of the process. In order to reduce this stress, the technological support for such monitoring of fruit diseases was introduced. Image processing is one of the widely accepted areas for fruit disease detection and classification. With accurate disease diagnosis, the proper control actions can be taken at appropriate time. This paper is intended to aid in the analysis of various techniques and methodologies used in fruit disease detection so far.Â Â
Folded monopole antenna with CSRRS for tri-band applications
Authors: Gangwar AK. , Alam MS.
Published: July 2019

In this paper, a miniaturize folded monopole antenna with complementary split ring resonator (CSRR) is proposed for tri-band applications. In the design procedure of the antenna, first a single band monopole antenna is designed for 2.88 GHz. For design a single band to dual band, the both arms of the radiating element (i.e. Monopole) is folded then it is resonated at 2.68GHz and 5.15GHz resonance frequencies, the resonance of the lower frequency is based on length of the monopole and higher order resonance is excited due to its folding effect. In order to extend its resonances for tri-band operation, the two identical size CSRRs (one on the left and another on the right from the feed line) are placed on the ground plane of the edge of the folded monopole, thus the entire structure is resonated at 2.47 GHz, 3.46GHz and 4.36 GHz frequencies. A simplified equivalent circuit model is developed for understanding its electrical behavior. Therefore, the proposed antenna has been suitable for WLAN, WiMAX and C-band applica- tions.Â Â Â
Centrality measure based approach for detection of malicious nodes in twitter social network
Authors: Das Krishna , Kumar Sinha Smriti
Published: July 2019

In this short paper, network structural measure called centrality measure based mathematical approach is used for detection of malicious nodes in twitter social network. One of the objectives in analysing social networks is to detect malicious nodes which show anomaly behaviours in social networks. There are different approaches for anomaly detection in social networks such as opinion mining methods, behavioural methods, network structural approach etc. Centrality measure, a graph theoretical method related to social network structure, can be used to categorize a node either as popular and influential or as non-influential and anomalous node. Using this approach, we have analyzed twitter social network to remove anomalous nodes from the nodes-edges twitter data set. Thus removal of these kinds of nodes which are not important for information diffusion in the social network, makes the social network clean & speedy in fast information propagation.Â Â Â
Study of mechanical and wear characteristics of AL380 composite fabricated by introducing B4C using compo casting method
Authors: V. M. Prasad Ch. , Mallikarjuna Rao K.
Published: July 2019

In the present work, Al380 Al alloy and B4C metal matrix composite was fabricated with different weight fractions (1%,2% and 3%) using compo-casting method. The wear properties of fabricated composite is tested by pin on disc apparatus. On different loads of 30N,60N and 90N the wear tests are performed. The mechanical properties of hardness and tensile strength are performed on brinellâ€™s hardness apparatus and Ultimate tensile machine. The study of homogeneous distribution of B4C particles were examined by scanning electron microscope (SEM) in the composites. The result shows that the Al380 Al alloy reinforced with B4C particles, that composite improves the mechanical properties and wear rate. Increasing of wear rate with the increase in B4C particles in composites. Using Opti- cal microscope, the study of worn surfaces of pins were analyzed.Â
Measuring and maintaining acceleration records obtained from 3D MEMS
Authors: Ravali K. , ASR.Murty Dr. , Pavani V. , Prathyusha B.
Published: July 2019

Tracing or tracking of an object or a link is needed in many engineering applications. Achieving it in real time applications using MEMS or the traditional accelerometers is also a well-known method. Measuring acceleration in [3] directions is needed in handling equipment, material transfer and in manufacturing industry.In this work, Calibration of accelerometer sensor ADXL335 is carried out first to show the accurate values of â€žgâ€Ÿ. Then, the measurement of acceleration is carried out as per the code written in Arduino IDE. ADXL335 is interfaced with NODE MCU. NODE MCU uses HTTP protocol to send the measured acceleration values to cloud platform. ThingSpeak is the cloud platform chosen for this purpose. ThingSpeak requires selection of a number of fields. Here we have three values to be taken to cloud (X, Y and Z directions).For display purposes a mobile is used in conjunction with MIT App Inventor. Acceleration record files can be obtained that may be processed further. The application contains three buttons forward, side and vertical which displays the acceleration values across X, Y and Z directions respectively. The acceleration values are further integrated to obtain velocity and displacement .It can be done through 2 ways like ana- log integration and digital integration. But the analog integration is reliable only to measure the sinusoidal steady state values. So the digital integration is much better for obtaining a displacement signal from acceleration. It is possible to use these components for further processing and applications like ultrasonic applications, military devices namely mixers, elevators, mechanically handling equipmentâ€Ÿs and information handling devices like iPad, phones etc.Â Â
Investigation on properties of part fabricated by selective laser sintering (SLS) process
Authors: Soundrapandian E. , SenthilKumar G. , Tajdeen A. , Vivekkumar P.
Published: July 2019

Additive manufacturing (AM) can be used without the need of any moulds or tooling, and are very suitable for manufacturing one-piece or small batches of with complex external shapes and internal structures within a short lead time, which are difficult to make or even cannot be fabricated by the tooling and machining processes. The manufacturing of metal parts by sand casting method is a tedious process when considering low volume manufacturing where it took lot of time, design cost, material cost etc., In this paper, the web gland component has been prepared using stainless steel by varying the different process parameters such as scan spacing, laser power and layer thickness in selective laser sintering (SLS) process. By using vickers hardness tester, the hardness and the microstructure of component also analyzed and it is compared with the same component properties prepared by using sand casting process. From the comparative result, it was found that the hardness of material increases by 12.5% on sintered part than casting part.Â Â
Findings of performance evaluation of EDM for different materials of electrodes and work pieces- a review
Authors: R. Mundane Harshalkumar , A. V. Kale Dr. , J. P. Giri Dr.
Published: July 2019

EDM (Spark erosion) is non-conventional machining process which uses as removing unwanted material by electrical spark erosion. EDM Machining parameters affecting to the performance and the industries goal is to produce high quality of product with less time consuming and cost. To achieve these goals, optimizing the machining parameters such as pulse on time, pulse off time, cutting speed, depth of cut, duty cycle, arc gap, voltage etc. The performance measure of EDM is calculated on the basis of Material Remove Rate(MRR), Tool Wear Rate(TWR), and Surface Roughness(SR).The main objective of present work is to investigate of the influence of input EDM (Electro Discharge Machining) parameters on machining characteristics like surface roughness and the effects of various EDM process parameters such as pulse on time, pulse off time, servo voltage, peak current, dielectric flow rate, on different process response parameters such as material removal rate (MRR), surface roughness (Ra), Kerf (width of Cut), tool wear ratio(TWR)and surface integrity factors. In this paper few selected research paper related to Die-sinker EDM with effect of MRR, TWR, surface roughness (SR) and work piece material have been discussed.
Health care monitoring system an application of IOT using WI-FI
Authors: Grewal Dangi Kusum , Yadav Mohit , Malhotra Shubham
Published: July 2019

With emerging networking technologies and micro electromechanical devices the world is full of opportunities to get connected and stay connected seamlessly. To facilitate this connectivity among every possible object in the world, Internet of things (IoT) has emerged. In this project we have made a hardware consists of a Micro-Controller, Pulse Measurement Sensor, and Body Temperature Sensor, Wi-Fi module, LCD and some interfacing module. So basically this hardware will take reading from the sensors and after processing that it will show the readings/measurement on LCD as well as on a server which is online. The major thing in this project is that one can monitor the patient at anywhere in the world with the use of internet, the doctor keep the track of your health and measurement of heart rate, blood pressure, etc. In this way you always be in touch with the Doctor, no matter where you are. Then if something happen apparently the message goes to the doctor before it becomes the emergency situation and also if a patient is hospitalized then patients would also be allowed to leave hospitals and clinics earlier, as professionals are enabled to monitor them from home.
Noise exposure and induced hearing loss to workers in small and large scale industries
Authors: Farrell Luka Moses , Akun Ertan
Published: July 2019

The purpose of this research is to determine the level of noise exposure to workers and to recommend how to manage the occupational high level of noise, understanding the workers noise exposure and providing personal ear protectors is the responsibility of employers. After visiting almost all the industries it was noticed that none of these industries are following these requirements. Knowing that expo- sure to excessive noise can cause health problems including temporary or permanent hearing loss, concentration problems, stress, nerv- ousness, sleeping problems and fatigue. The noise levels was measured in different industrial settings in North Cyprus using a noise detecting equipment, cirrus 273 integrated sound level meter with octave band filters. The Safety and health standards for noise exposure were used as the benchmark for our data analysis. Questionnaires were designed to determine how much employees were affected by high noise levels in the workplace. Data’s were analyzed using SPSS statistical program. Survey responses identified the most likely problems faced by industrial workers in North Cyprus. Sound level mapping informed worker noise exposure. It was found the most of the workers were exposed to high level of noise so therefore future studies will focus on industries with the highest noise levels, monitor- ing worker noise exposure using a dosimeter. The use of engineering method is considered best in reducing the high level of noise in these Industries.
Ultrasound velocities and elastic properties of LICL doped zinc –borate glasses
Authors: Vijayatha D. , Chandrashekaraiah G. , Viswanatha R. , Narayana Reddy C.
Published: July 2019

Sound velocities and elastic property measurements have been employed to study the strength and rigidity of the structure of ZnO-B2O3 glasses doped with LiCl. Moduli of elasticity such as longitudinal, Young`s , bulk and shear modulus have been calculated using ultra sound velocities such as longitudinal and transverse velocities are measured at a frequency of 10 MHz as function of LiCl concentration. Both sound velocities and elastic moduli decrease with increase of LiCl concentration. The results are discussed in the view of borate network and dual structural role played by the divalent zinc ions present in the network. The results indicate that the Zn+2 ions are likely to occupy network forming positions in this glass system. While LiCl is a typically dissolved in the borate network and Cl- occupy the interstitial positions.
Research of inter-phase interaction in ZOL-silicate paints
Authors: V.I Loganina , E.B Mazhitov
Published: July 2019

It was suggested to use polysilicate solutions obtained by mixing liquid glass and silicic acid sol as a binder in the manufacture of sili- cate paints. Information is provided on the mechanism for increasing the operational properties of coatings based on sol silicate paint. It has been revealed that polysilicate solutions form membranes characterized by higher tensile strength due to an increase in the fraction of high-polymer fractions of silicic anions in the structure of the polysilicate binder in comparison with liquid glass. The results of a study on the interphase interaction between the pigment and the film-forming agent are given. It is shown that potassium polysilicate solutions form a smaller contact angle on the surface of the pigment (filler) and are characterized by greater work of wetting and adhesion to the filler (pigment).
Minimizing the cost by effective utilization of resources which yields better profits for government organizations in a less interval of time
Authors: Nanda Krishna Ch. , Ramesh M. , M. Suneetha Dr.
Published: July 2019

Minimizing the cost and utilization of resources in an efficient manner helps any organization in its progress that is growth of the organization. This paper gives an optimized solution for reducing the cost of resources in government services of Transportation. If the data is structured can use any one of the Relational Database Management Systems (RDBMS), if the data is unstructured or semi-structured we can use hadoop for processing the data and analyze the data which is processed by using R. Strategic decision making can be made by the end results that we get from the visualizations of R-Language in-order to get better insights of the business and better decisions can be taken for better growth of the organization.
An analysis of modified naïve Bayesian classification using correlation based clustering for gene sequence data analysis
Authors: Arputharaj J Vijay , S. Sheeja Dr.
Published: July 2019

Correlation based Clustering separates the statistical data into the most favorable amount of clusters on the correspondence to the statisti- cally analyzed data points. As we know that, Data mining is the technique of figuring out the progression of determines patterns inside huge statistics and data sets which concerning on techniques on the connection with machine related learning, statistics and also the advanced database systems. this technique denotes the gene sequence by using the novel classification technique, which improves the accuracy of classification under the curse of dimensionality, also clustering the gene data based on correlation based clustering will re- duce the execution time.