bluuebunny/crossref_metadata_2025 huggingface dataset:
A Review on Latest Technologies in Big Data Analysis
Authors: S Castro , R Pushpalakshmi
Published: April 2019

In this digital world, the modern information systems have produced a large amount of data which needs huge depositary in terms of terabytes for storage. Some of the digital technologies such as cloud computing and Internet of Things (IoT) are considered as the major sources of such large data. It is necessary to extract knowledge by analyzing these huge data which needs several attempts at multiple stages for decision making. Thus, the recent researches have focused on the analysis of big data. The main aim of this paper is to investigate the challenges of big data, applications, opportunities, implantation tools and its research problems. Thus, this study presents a platform to investigate big data at various levels. Moreover, it initiates a novel perspective for researchers to provide the solutions according to the challenges and research problems.
Optical and Electronic Properties of II-VI Group Semiconductor Nanomaterials from Energy Gaps
Authors: Jain Rahul , M Singh K
Published: April 2019

A simple relation between the energy gap and refractive index is given for II-VI group semiconductors. Optical and electronic properties are evaluated by proposing a relation between energy gap and refractive index. The computed values are in fair agreement with the experimental values and earlier researches. This work emphasizes the understanding of interrelation between these parameters.
Implementation of Round Key AES with Honey Technique for Securing the Public Cloud Data Storage
Authors: L Selvam , Renjit J Arokia
Published: April 2019

Recent security incidents on public cloud data storage had raised concerns on cloud data security. Development in the hacking area has risen in the past few years. Due to this, Cyber Security is needed which plays an important role to cover the secret information. Currently, the attack of challenging channel is both the symmetric as well as the asymmetric encryption algorithm. Since, in both criteria the secret key has to be transmitting through a security challenging channel. For this many techniques have been put forward. The Main focus is on the vulnerabilities of the private keys while hoarded in different places for the fast utilization of the round key of the AES algorithm. In the view of the hackers, extracting the private key is nearly as same as obtaining the plain text itself. So, the honey encryption technique is used to futile the attacker by producing the fake key for each and every try of the Key puncher. An indication will be generated automatically to the storage manager when an attempt is made by the attacker. The Honey encryption is the best algorithm to overcome the drawbacks of the AES algorithm but it has some time constraints which are also eliminated here. Thus, eliminating the Brute Force Attack and providing a secure system for storing the secret key.
Remote Access of Medical Image Processing and 3D Visualization Application using Raspberry Pi
Authors: H V Sreepathy , S Nandish , CVS Chaitanya
Published: April 2019

With the extensive growth in technology, healthcare sector has benefitted a lot recently. Looking into the academic research and validation in the area of medical image processing and visualization, many platforms and the open-source resources are available. Insight toolkit (ITK) and visualization toolkit (VTK) are extensively used for medical image processing and 3D visualization respectively. Resources used to develop an application using ITK-VTK and same resources be used to deliver it to the users such as, clinicians, doctors etc. This can be achieved by using respective hardware and the infrastructure. In the proposed article, the infrastructure and resource used to build and deploy the application and remote access given to the users are elucidated.
Simplification of Home Automation System Using Various Sensors, Actuators and Control System
Authors: Rawal Shannay , Ramachandran M , Fegade Vishal , Ragavendran U
Published: April 2019

Usually, home automation talks about the domestic atmosphere that increases the class of the occupant’s life by eliminating as much human interface as in theory possible in numerous domestic practices and exchange them with automated mechatronics systems. Home automation comprises selected form of intelligence, home network and or centralized or logic distributed network or specific control unit. The modest system works on an approach in which the functionality is hardwired and incorporated into the system and cannot be altered automatically without the interference of technical or a knowledgeable person. Advanced sensor technology with Wireless advancement expands our sensing competencies by linking communication networks and physical world which enables wide-ranging applications in respect of home automation. In this article, we are discussing various sensors, actuators and control systems utilized for the home automation systems.
Voltage Regulation Using STATCOM with PI and Adaptive PI Controls
Authors: Felix Stephen S , I. Jacob Raglend Dr
Published: April 2019

In power systems, voltage instability problems occur due to its continuous demand in heavily loaded networks. So it is essential to stabilize the voltage levels in power systems. The stabilization of power systems can be improved by Flexible Alternating Current Transmission System (FACTS) devices. One of the FACTS devices named Static Synchronous Compensator (STATCOM) injects the compensating current in phase quadrature with line voltage and replicate as inductive reactance to produce capacitive power for the AC grid or as capacitive reactance to draw inductive power from the AC grid for controlling power flow in the line. This paper proposes Adaptive PI control over conventional PI that normally self-adjusts the controller gains under disturbances and helps in improving the performance and attaining a preferred response, irrespective of the change of working conditions. The work is implemented under MATLAB/SIMULINK environment. This method performs more efficient than the original PI with fixed control gains and also improves the system response speed consistently.
Volume Estimation of Pulmonary Lesion Using Chest CT Sequence
Authors: Nayak Ramyasri , S Nandish , Koteshwara Prakashini
Published: April 2019

Many of the imaging modalities like X-ray, Computed Tomography (CT), Magnetic Resonance Imaging (MRI), fMRI have emerged to capture high quality images of anatomical structures of the human body. Radiologist can also have a better visualization if the regions of interest in the images are extracted and visualized 3D. To extract region of interest, sometimes preprocessing steps are performed on the input data. Pulmonary lesion is a small round or oval-shaped growth in the lung. It consists of solid and non-solid portion. The estimation of solid and non-solid portion of the pulmonary nodules will help the clinicians in the diagnosis and to suggest the appropriate treatment methodology. Lesion volume estimation gives a brief idea about the area occupied by the lesion tissues, which in turn can help the radiologist to plan treatment accordingly. In proposed work, lesion is segmented using K-means algorithm and then volume of the lesion is estimated. The slices which have segmented lesion with solid and non-solid regions is used for 3D visualization. The results obtained using the proposed methodology is validated with the Slicer 3D software. Error in the estimated volume of the solid and non-solid portion of the lesion was found to be in the range of 1.11% - 3.30% and 0.1% to 4.55% respectively. Results from the proposed methodology, lesion extraction with solid and non-solid, 3D visualization of the same and volume estimation respectively are validated by taking feedback from the radiologists and segmented lesion slices are used to estimate the volume and 3D visualization in Slicer 3D software for validation.
Compact SIW Based Planar Inverted F Antenna
Authors: Annalakshmi T , Ramesh S
Published: April 2019

This article describes the single band Planar Inverted F Antenna (PIFA) for movable application. This structure of the antenna comprises of a rectangular patch located on top of the Flame Retardant 4 (FR4) dielectric substrate using Substrate Integrated Waveguide (SIW).The bottom side of the substrate is completely covered by a full ground made up of copper material. The complete measurement of PIFA is 21.72 mm x 18.5 mm x 4mm.This antenna has low profile, small size, and good gain hence it is more suitable for mounting on the cellular phone. The performance of PIFA antenna is represented in terms of return loss, VSWR and gain by using the simulation tool Ansys HFSS.
Understanding Trending Variants of Generative Adversarial Networks
Authors: Bhandarkar Tanvi , Murugan A
Published: April 2019

Generative Adversarial Networks (GAN) have its major contribution to the field of Artificial Intelligence. It is becoming so powerful by paving its way in numerous applications of intelligent systems. This is primarily due to its astute prospect of learning and solving complex and high-dimensional problems from the latent space. With the growing demands of GANs, it is necessary to seek its potential and impact in implementations. In short span of time, it has witnessed several variants and extensions in image translation, domain-adaptation and other academic fields. This paper provides an understanding of such imperative GANs mutants and surveys the existing adversarial models which are prominent in their applied field.
Strength Characteristics of Ternary Mix of Cement in Light Weight Concrete
Authors: Vishnu Priya V , Bhuvaneswari P , Saravana Raja Mohan K
Published: April 2019

The main aim of this study is to decrease the density and the dead load of the structure by using Light weight concrete (LWC). In this study Pumice aggregate was replaced with the conventional coarse aggregate. To enhance the strength of the concrete, cement was partially replaced with mineral admixtures, Ground Granulated Blast Slag (GGBS) and Metakaolin (MK).  The constant replacement level of cement with 30% GGBS and 15% Metakaolin was followed for all the mixes.  The natural aggregate has been replaced with pumice from 10% to 50% in the increment of 10%. A total of six combinations were cast. Hardened properties of the concrete were evaluated by conducting compressive strength (100 mm x 100 mm x 100 mm cubes), split tensile strength (cylinder of size 100 mm x 200 mm). In order to enhance the strength properties, cement has been replaced with GGBS and MK at certain replacement levels. The strength properties of light weight concrete samples and the conventional concrete samples were carried out.
Efficient Traffic Management System
Authors: Kumar G Shukla Suraj , Kandeth Aadithya , Sai Santhiya D , Jayavel Kayalvizhi
Published: April 2019

Traffic Management is a big issue which impacts us almost daily. Use of technology such as IoT and image processing can lead to a smooth traffic management system. The common reason for traffic congestion is due to the lack of an efficient traffic prioritization system. The internet of things is a network of devices. The embedded systems includes sensors, actuators, and electronics.With software and connectivity locally or over internet  helps in  transfer of data. Each of these devices is uniquely identifiable in the network and are highly interoperable. Image processing using OpenCV is a technique that is used to process an input image and obtain the traffic densities along various lanes in a junction. Existing traffic management solutions include using RFID tags on vehicles to obtain a vehicle count. This can also be done using ultrasonic sensors. The problem with these methods is that when implemented in a large scale, the cost of the entire system can be exponentially higher than an image processing approach as each vehicle will have to be fitted with an RFID tag. Hence, implementing this model at a largescale level, for example in a metropolitan city will be time consuming and expensive. This has led to the development of our algorithm, which uses image processing and IoT along with CCTV cameras. This system is efficient, as it uses CCTV cameras that are already present in traffic signals of most major metropolitan cities. Hence implementing the system at a largescale level is feasible. This algorithm also takes care of corner cases like heavy utility vehicles and motorbikes. It can also be used at night and during unfavorable weather conditions.The algorithm used detects the density of traffic as opposed to the count of vehicles by taking input images from a CCTV camera, comparing it with a sample image of an empty road and obtaining a match percentage. The traffic density can be found easily using this since it has a disproportionate relation with the match percentage. The traffic signals can be altered accordingly using the traffic density. The output is then sent to the ThingSpeak cloud where it can be analyzed.
Transforming Cities from Simple to Smart using Internet of Things (IoT)
Authors: Khattri Anushka , Khattri Alisha , Kushwaha Ankita , Chauhan Rahul
Published: April 2019

Dream of making a city smart is now transformed into reality through IoT. IoT is the best method to utilize the resources to the full extent. This paper deals with the basic but the very major problems such as navigation of parking lots. Every lock has a key and to avoid such problems intelligent sensors and cameras are used which can sense the input signals, then transforms it into data. These data are transmitted to cloud server which can provide the user about the real-time situation through mobile apps. For smart parking different methods such as expert system, wireless based system, GPS system and vehicular communication system are discussed in this paper.
Development of Conductive Nanocomposite for Sensing Application
Authors: Prasad Brijesh , Panwar Varij , Chaturvedi Mayank , Rathi Vikash , S. Gill F , Sharma Kapil , P.Patil Pravin , . .
Published: April 2019

Carbonaceous compounds being conductive in nature have proved themselves as the best conductive network assembly material with Poly (vinylidene fluoride) (PVDF) polymer matrix which forms dielectric medium. Carbon based compounds are conductive in nature and are being used  to form conductive channels for the flow of charge for the application of health as soft electronic devices and smart flexible conducting thin films in the form of sensors and actuators. Carbon nano fibers (CNF) play role of conductive filler to form conductive networks for the flow of charge in the polymer matrix. The interesting thing about CNF is its tailorable concentration. It influences the mechanical and electrical properties with different weight percent. In the present study solvent casting technique is used for the development of composite membrane, which is easy to fabricate and less costly. An increase in CNF content leads to deterioration of young’s modulus in comparison with pure PVDF, while with the infiltration of CNF in different quantities increases toughness and overall mechanical strength of the polymer composite of PVDF-CNF. CNF helped in increasing the electrical conductivity of the samples by entrapping in between the matrix and helping in bridge formation for the charge flow. The obtained conductive membrane showed low resistance, good electrical properties and high conductivity. The conductive film can be utilized as a conductive medium as it was able to glow the LED bulb at very low voltage of 2 V with drop of 1.8 V.
Methodical Assessment of River Periyar to Encounter Water Parameter Variation
Authors: V MurugaLal Jeyan J , Rupesh Akhila
Published: April 2019

Water resource, being the most precious natural resource is getting depleted in the recent times in a drastic manner as ever before. The river water bodies, due to the discharge of industrial effluents and other wastes, is becoming more and more polluted, severely degrading its quality of usage. Recent studies have shown the serious need of Water quality assessment to know how far the resource is being polluted. The paper is on a survey work carried across the river Periyar at different sampling points to determine and analyzethe water pollution trends.
Comparison of Gas Assisted Hybrid EDM, Rotary EDM and Conventional EDM Processing of High Carbon High Chromium Die Steel
Authors: K. Singh Nishant , Poras Anand , Das Subrato
Published: April 2019

The high carbon high chromium die steel is most widely used in various industrial applications. However, effective machining of high carbon-chromium die steel is extremely difficult due to its high hardness and stiffness. In the present work, comparative analysis of Gas Assisted Hybrid EDM (GAHEDM), Rotary EDM (REDM), and Conventional EDM processes have been done with respect to process responses like electrode wear ratio (EWR), material removal rate (MRR), and surface roughness (SR). Experimentation has been done to the study influence of process factors like discharge current, pulse on time, duty cycle, tool rotation and discharge gas pressure on MRR, EWR and SR. Further, from a comparative study, it has been observed that high MRR, low EWR and low SR are obtained in GAHEDM process in comparison of REDM and EDM processes. Analysis of surface morphology reveals that the formation of recast layer and cracks on the surface are fewer in number on work piece machined by GAHEDM process with respect to specimen machined with REDM and EDM processes. The results show that the use of compressed helium gas in GHEDM process has a positive impact on the machining performance. This process may be used for industrial machining operation.
Opinion Aspects Based on Customer Feelings via Reviews
Authors: Sajana T , . Hanuman
Published: April 2019

These days deciding an assent opinion on an item sold online is never again basic since evaluations have turned out to be more incessant on the Internet. To address this issue, numerous analysts have utilized different methodologies, for example, searching for conclusions communicated to investigating the grammar of audits. Perspective assessment is essential part of conclusion mining, and scientists are winding up keener on item angle extraction; nonetheless, more intricate calculations are required for extensive datasets. Article acquaints an approach with perceive and condense item perspectives and concentrate sentiments from an immense number of item surveys in an area. We amplify the exactness and handiness of the survey outlines by utilizing information about item as-pect extraction and giving both a proper level of detail and rich portrayal capacities. As augmentation in the unmistakable sorts of online shopping locales thing sold isn't any more basic since it is essentially endless supply of clients. To address this issue different techniques have utilized, for example, searching for suppositions communicated in the archives and investigating the appearance and language structure of audits. In conclusion mining Aspect-based assessment is the most imperative thing. More mind-boggling calculations are utilized to address this issue with expansive datasets. Considering the ensuing conclusions from a substantial number of item surveys this paper acquaints a method with separate and condense item aspects. The most extreme number of exactness and value about framework can be appeared by proposing this calculation.
Visual Background Extractor with Improved Sobel Operator for Moving Object Detection
Authors: Pavan Kumar U , S H Bharathi
Published: April 2019

Movement detection plays a vital undertaking in numerous video based operations. A specific foundation subtraction strategy called Visual Background Extractor. It is utilized to accomplish closer view objects from the foundation of its high presentation range and low calculation. The execution isn't satisfied with a specific technique. So it speaks to an enhanced Visual foundation extractor calculation to improve the rightness and strength of progress location. In particular, a frontal area trademark outline made by enhancing the result of ViBe calculation. At that point the edge recognition of the one of a kind video outlines is accomplished after pre-honing utilizing enhanced Sobel operator. At last, the closer view, foundation highlight maps and shape substantial, the movement location outcome can be gotten. The examinations uncover the changes of the proposed adjustments at a fractional extra cost.
Transient Stability Enhancement of DFIG based Offshore Wind Farm Connected to a Power System Network using STATCOM
Authors: Kumar Varun , Patel Vipin , S Pandey A , K Sinha S , Kumar Dilip
Published: April 2019

This paper presents the transient stability enhance of DFIG-based offshore wind farm connected power system network using STATCOM. The studied system is simulated in MATLAB/Simulink platform for study the effect of transient disturbances like, three phases to ground fault, sudden load change, voltage sag & swell. A fully aggregate model of wind DFIG is used for simulation study of system. The DFIG based wind generator, more sensitive to the grid faults than other wind generators. During transient disturbances DFIG terminal voltage reduced below the critical value and hence DFIG trips. The external reactive power support is required for stabilization of wind farm during the transient disturbances. In studied system STATCOM is used to fulfil the reactive power requirement to stabilize the wind farm. In presence of STATCOM, DFIG does not trip during transient disturbances of power system and all bus voltages & DFIG terminal voltage are also improved.
An End To End Ioe-Based Technology Solution for Diabetic Healthcare
Authors: Abdulkadhim Mustafa , . .
Published: April 2019

In the context of keeping the elderly healthy and safe and with the development of the modern small energy efficient technology, with the help of a health monitoring device (HM) as a main activity. The Cloud-based IoT architecture contains a cloud computing and the Internet of Things In order to focus on the advantages that was derived from the complementarities. The sensing services is focused on the development of the sensors data usage and accessibility. beginning from the general scenarios of this service, this paper discusses a Human Machine-oriented Sensing Service scenario with the goal to make the quality of the service and its implementation, taking In consideration the demanding interests of this service which doesn't come only from big medical facilities but also from general practitioners and small clinics. A mathematical model for simulating induced hyperglycemia and hypoglycemia and a smartwatch application is implemented for the patient as well as the health monitoring company (HMC) and the cloud infrastructure for the data to be stored was designed as well as the infrastructure necessary for the patient to run the solution in his/her home.
Rainbow Connection Number and Chromatic Index of Rough Ideal based Rough Edge Cayley Graph
Authors: Praba B. , Obilia X.A. Benazir
Published: April 2019

Rainbow connection number and chromatic index are two significant parameters in the study ofgraph theory. In this work, rainbow connection number and chromatic index of Rough Ideal based Rough Edge Cayley Graph G(T(J)) are evaluated. We prove that the rainbow connection number of G(T(J)) is 2 and the chromatic index of G(T(J)) is 2(2n^m)(3m^1):Rainbow connection number and chromatic index are two significant parameters in the study of graph theory. In this work, rainbow connection number and chromatic index of Rough Ideal based Rough Edge Cayley Graph  are evaluated. We prove that the rainbow connection number of  is 2 and the chromatic index of  is .
Trends Analysis of Ozone Hole Annual Records Using SBUV Data Version 8.6 (1979 to 2017 Datasets)
Authors: Ekhwan Toriman Mohd , Garba Abdullahi Musa , Khairul Amri Kamarudin Mohd , Umar Roslan , Muhammad Nalado Aliyu , Firoz Khan Md
Published: April 2019

Ozone is the triatomic of oxygen forms within the Earth's atmosphere from the ultraviolet dissociation of oxygen molecules, within tropical stratosphere. It is conveyed toward the extratropics through the Brewer-Dobson circulation (BDC), generating a layer in the stratosphere known as a protective ozone layer. The data from NASA and NOAA measurements of ozone shows that the ozone layer has stopped deteriorating across the world; nonetheless no strong intensification has been detected at latitudes amongst 60° S and 60° N in the outer the Polar Regions within 60° to 90°.In this study, the evidence of the ozone hole from satellite measurements, and evidence that ozone within the lower stratosphere at the amid of 60° S and 60° N has continuous to decline after the Montreal Protocol. This study explained that, upper stratospheric ozone is improving; the recent descending trend in the lower stratosphere prevails, consequential in a descending trend in stratospheric ozone amongst 60° S and 60° N. The trend indicated that by 2060 to 2080, the ozone hole is expecting to have complete heal. Hence, the details for the continual decrease of ozone in the lower stratosphere are not clear; this study models do not prescribe these trends, and thus is a gap for another research.
DMAIC Six Sigma Methodology in Petroleum Hydrocarbon Oil Classification
Authors: Ismail Azimah , Bahri Mohamed Saiful , Juahir Hafizan , Ekhwan Toriman Mohd , Md. Kassim Azlina , Md Zain Sharifuddin , Kamaruzaman Wan Ahmad Wan , Kok Fah Wong , Retnam Ananthy , Mokhtar Mazlin , Abdul Zali Munirah , Zaki Mohd. Taib Mohd. , Yang Chun
Published: April 2019

This research focuses on the use of the DMAIC method (Define, Measure, Analyze, Improve and Control) as a Six Sigma approach in studying oil spill fingerprint of samples recovered from Peninsular Malaysia and Sabah (East Malaysia). The DMAIC approach in this study was used as a way to classify oil types based on data obtained from GC-FID and GC-MS measurements. The cause-effect diagram was used to define the factors leading to the failure of the oil spill fingerprinting based on inaccurate oil type clustering. Discriminant Analysis (DA) was also applied to quantify the root-cause of the failure. An Ishikawa diagram obtained in the analysis phase identifies the potential failure causal. Principal component analysis (PCA) was applied and was successful in discriminating four clusters of oil types, namely diesel, heavy fuel oil (HFO), mixture oil lube and fuel oil (MOLFO) and waste oil (WO) with a total variance of 85.3%. In the control phase, the use of a Pareto chart indicated 100% cumulative percentage of oil type clustering with a 95% confidence level. The DMAIC approach to be effective in solving oil spill fingerprinting problems and results in quality improvement in the clustering of oil spills into the different hydrocarbon types.
Spatial Assessment of Selangor, Malaysia Water Treatment Plant Performance Using Chemometric Technique
Authors: M. Zolkipli H , Juahir H , Adiana G , Zainuddin N , B. H. M. Maliki A , E. Toriman M , Mokhtar M , Elfitri R
Published: April 2019

This study aims to identify the most significant parameters in drinking water quality, spatial disparities of treated water (TW) and performance of water treatment plant (WTP) in Selangor. Physico- chemical (PCPs), Inorganic (IPs), Heavy metal and organic (HMOPs) and pesticide (PPs) were selected as parameters to discriminate the source of WTP pollutant. Chemometric technique such as principle component analysis (PCA), one-way analysis of variance (ANOVA) and discriminant analysis (DA) was applied to validate the performance of water treatment plant. PCA identified the most significant parameters which are highlighted six out of eight parameters for PCPs, six out of twelve parameters for IPs, nine out of sixteen parameters for HMOPs and all seventh parameters for PP. ANOVA for distinguish two categories region in WTP and showed both of PCPs and IPs had significant differences due to their concentration (p < 0.5) and HMOPs suggested fifth of significant differences within regions (p < 0.05). PP doesn’t give any significant differences (p > 0.05). DA was suggested PCPs, IPs and HMOPs in good performance (76.96%, 91.90% and 93.27%) except PP (50.43%). We can conclude that this chemometric technique can expose which area of WTP need to be properly maintains their performance to produce high quality of drinking water.
Assessment of Population Rate Evolutions in Malaysia and the Republic of China from 1990 Until 2016
Authors: Khairul Amri Kamarudin Mohd , Abd Wahab Noorjima , Ekhwan Toriman Mohd , Razali Abdullah Mohamad , Safaniza Che Ani Nurul , Azria Aisyah , Rahman Fatin , Azha Shamira , Nur Aida Zainal Nik , Kamaruzaman Fiza
Published: April 2019

This study is more focus on identifying the factors that determine the difference of population rates in Malaysia and Republic of China from 1990 to 2016. All the secondary data acquired from the government agencies such as the distribution population, births and deaths in Malaysia and China. The determining factors were classified into two parts, which were the determinants of mortality and determinant of birth rates that at once determine the natural increase factor for the population of the country. Growth of a country will increase when birth rates exceed the death rates. These components are linked to the bases and situations that apply to both countries. The aim objectives are to analyzing the rate of changes of the population and identifying the determinants of population rates. The findings are expected to give a clear picture of the factors that cause the increase and decrease of the population for both countries. Poverty issues, low household income levels, limited employment opportunities and unstable economic conditions are the main reasons why the growth rate of the Malaysian population should be regulated and redesigned. The increasing of population levels that are not balanced with economic improvements will further highlight in the existing issues.
Information Quality Management in the Malaysian Public Sector: A Preliminary Study on Issues and Challenges
Authors: Hassan Erizamsha , M. Yusof Zawiyah , Ahmad Kamsuriah
Published: April 2019

Information plays a significant role in enhancing an organization’s capital, namely as its crucial source of income and a valuable leverage in times of unfavorable economic climate. The strategic management of information, thus, is imperative as it contributes in bringing about success to business by influencing decision-making of the organization for better identification of prospects and to cope with risks. This requires the enhancement of efficiency and effectiveness of information management to expand its readiness and value in decision-making. In spite of its significance, studies in information quality management (IQM), particularly those that investigate issues and challenges, are scarce. This paper, hence, attempts to fill this gap by taking into account both the theoretical and pragmatic approaches in viewing issues and challenges in IQM. In addressing the limited studies in IQM, the paper proposes possible areas of further inquiry for future research. It also seeks to provide a better insight into issues and challenges facing IQM as the study’s practical impact.
Enhancement of Graphite Functionality in Renewable Polymer Composite Properties
Authors: Munirah Abdullah Nur , Z. M. Rus A , F. L. Abdullah M
Published: April 2019

The preparation and characterization of composite thin films of renewable polymer graphite (PG) is disclosed. Thin films ~ 0.1 mm thick are prepared using a simple solution mixing with mass proportion of 2/1 (renewable monomer/ Methylene Diphenyl Diisocyanate, MDI), upon differ graphite content (PG0, PG5, PG10, PG15, PG20, PG25 andPG30) and drop casting at room temperature. The morphology-structure relations of renewable PG composites with respect to electrical conductivity were diagnosed using Optical microscope (OM), Fourier transform infra-red spectroscopy (FTIR) and Thermogravimetric analysis (TGA). The homogeneous random dispersion and strong interface between the graphite in the classical insulating renewable polymer matrix were observed. Thus resulting of enhancements in thermal stability with slight shift of decomposition temperature and better mechanical properties through the modulus and tensile strength increment up to ~440% and ~100% respectively. The result shows that it can simultaneously leads to renewable PG conductivity (σ) where the percolation threshold occurs at higher graphite content (PG20, PG25 andPG30) of 103 - 104 S/m. Thus, this non-petroleum based renewable polymer graphite composites have remarkably more to offer as conducting polymer composites material in multidisciplinary applications.
Management of Rectification of the Consequences of an Emergency Situation
Authors: Klimentevich Chernykh Andrey , Arkadyevich Nefedyev Sergey , Nikolaevich Bardulin Evgenij , Pavlovich Andreev Vladislav , Vladimirovna Stashevskaya Olga
Published: April 2019

The purpose of the paper is to develop an information technology used to implement operational and quality management of rectification of the consequences of an emergency situation. Typical examples are given of malicious programs and the ways of their impact on the work of computers used to develop solutions for the elimination of the consequences of an emergency situation. To prevent unauthorized access to computers and their infection with malicious programs, preventive measures are recommended. The novelty of the paper is the development of an information technology to recover the encrypted or blocked by malicious programs data necessary to develop solutions for the elimination of the consequences of an emergency situation and the concept of building a fragment of an information system within which this information technology should be implemented. The authors consider an approach to the improvement of the information system for officials of the management bodies of the Ministry of Emergency Situations of Russia, developing a solution for the relief of the consequences of an emergency situation, which provides the protection of their personal computers from malicious programs.
Psychological Factors for Computer Game Addiction of Young Adolescents
Authors: Viktorovna Grishina Anna , Nikolaevna Volkova Elena
Published: April 2019

consider the psychological features regarding the development of younger adolescents, the violation of which may be the cause of computer game addiction at a given age stage of development.The issue of the influence of computer game addiction on the mental and personal development of a younger adolescent has not been studied enough. An analysis of psychological studies has shown that the psychological factors, conditions and mechanisms that determine the characteristics of computer game addiction in early adolescence are not adequately worked out.In this study, a theoretical analysis of personal prerequisites for the development of computer game addiction in younger adolescents was conducted, which allowed determining that computer game addiction arose from a combination of two groups of factors: personal and socio-psychological.The personal factors of computer game addiction in younger adolescents were revealed: inadequate, often overestimated self-esteem, increased desire for risk and search for acute sensations, weak volitional potential, unbalanced development of a child's agency.The socio-psychological factors of computer game addiction in eatly adolescence were revealed, which were a combination of the features of child-parent relations and the characteristics of the child's interaction with peers.
Instruments of Artificial Intelligence in Management of High Technology Production
Authors: Leizerovich Krichevsky Mikhail , Vladimirovna Dmitrieva Svetlana , Anatolevna Martynova Julia
Published: April 2019

The instruments of artificial intelligence (AI) that can be used in management of high technology production and training students are considered. Specific differences and characteristics of high technology production (HTP) that set certain requirements for such production management are specified. Brief information from the AI methods that include artificial neural networks, fuzzy logic, genetic algorithms and their combinations are given. It is indicated that there is a relation between the level of training masters and the requirements of modern productions. The necessity to use techniques and methods of AI when training students to form their competencies, knowledge and skills that comply with the HTP is explained. The techniques of using AI instruments in the educational process focused on the practical importance of the tasks being solved in such disciplines as HR management, risk management, strategic management, etc. are shown.
Lean Manufacturing as a Way of Employees’ Motivation in Energy Saving
Authors: Viktorovna Lenkova Olga , Dmitrievich Kot Anatolij , Gennadievna Yakunina Olga , Semyonovich Yumsunov Maxim
Published: April 2019

The article indicates the importance of cost management in general, and energy consumption, in particular, at the enterprises of main oil transportation. For this purpose, it is necessary to search for losses in production processes and develop solutions for their elimination. The concept of "lean production", adapted to the industry features, is suggested as the main method of solving this problem. It outlines the importance of involving employees in the development of the strategy and motivation to search for losses and their elimination. In order to identify the awareness and motivation of employees for energy saving and rationalization, a questionnaire was developed. The results of the survey at one of the production departments of the oil transport enterprise are given. The work also presents a fragment of the Ishikawa diagram used to identify the reasons of the employees' insufficient interest in saving energy. The article covers the results of the study of the existing motivational policy of the organization and the research data of existing practices of constructing motivational systems in organizations in other spheres. Recommendations are given for adjusting the existing motivation system in the enterprise under study. An approximate plan for the implementation of the project proposals is suggested, and the directions for further research within the field are formulated.
Promising Directions of Cooperation Among Eurasian Economic Union Countries
Authors: Yurievna Myasnikova Olga , Ivanovna Shatalova Irina , Vyacheslavovna Zenkina Elena , Vyacheslavovna Bogacheva Tatyana , Igorevich Illeritsky Nikita , Muradovna Kutlyeva Gozel’
Published: April 2019

The paper explores the possibilities of technological cooperation among the countries of the Eurasian Economic Union (officially EAEU, but sometimes called EEU or EAU). Based on specific and individual backgrounds of each EAEU country, the promising areas for its expansion are determined within the framework of industries with export potential, high-technological, oriented at national markets for the formation of an economic strategy focused on regional integration with the highest level of encouragement of the national economic interests of the EAPC countries. The most significant sectors of the economy are identified: the space industry, energy, metallurgy, engineering, agriculture, etc. The feasibility of value chain development in the region was highlighted, as well as the development of inter-industry and intra-sector cooperation with partner countries in strategically important sectors of the economy, which includes the opportunity of forming specific sectoral niches through specialization and development of national industrial potential of the member states. This focus will promote development and realization of internal scientific and technical potential of the EAEU countries, commercialization of R&D results, technological improvements and will increase their competitiveness on the global markets.
The Assessment of the Investment Potential of the Insurance Sector of the Region in the Conditions of Risk and Uncertainty
Authors: Alekseevna Okorokova Olga , Konstantinovna Ulibina Lubov , Alekseevna Maksimenko Polina , Gennadevich Rusetskiy Mikhail , Ivanovna Lazareva Galina
Published: April 2019

Krai; the problems of its development are revealed as well. It is proved that in the conditions of risk and uncertainty it is especially important to distinctively define the role of the insurance sector of the financial market, to determine its interaction with the real sector branches of the regional economy by means of using the industrial, social and investment potential. Modern insurance relations are formed under the influence of the transformation processes in the development of the financial system, institutions and instruments of the insurance sector; they are determined by the methods of state regulation as well. Underestimating the problems of the insurance market in the reproduction process of the regional economy negatively affects its development. In this regard it is essential to develop and implement a qualitatively new strategy of the development of the insurance market and its infrastructure that could be oriented towards modern achievements. At the same time the reproductive, investment approach to the insurance strategy should be implemented. The authors have developed a factorial model of the assessment of the investment potential of the regional insurance market in the context of socio-economic transformation of the development institutions. The main vectors of the development of the regional insurance market on the basis of the economic potential of the region are suggested.
Application of Slags from Thermal Power Station as an Effective Initial Material in the Production of Artificial Porous Filler
Authors: D. Huseyn Mammadov Ph. , Gadirov Musa
Published: April 2019

The article is devoted to obtaining an artificial porous filler from industrial wastes, in particular from granulated slags, or ash-slag mixtures from Thermal Power Station. The developed technology provides the opportunity to expand the raw material base of artificial porous filler production for lightweight concrete, and it allows us to solve the problem of involving secondary resources in the production of construction materials and protection of the environment from pollution.According to the results of research, the intervals of the bloating temperature have been determined, the technology of obtaining an artificial porous filler from slag and ash-slag mixtures from Thermal Power Station has been developed, and the mainphysical-mechanical properties of the filler obtained have been studied. It was established that the obtained artificial porous filler meets the requirements of the current standard in its physical-mechanical properties. It was found that on the basis of them, heat-insulating, heat-insulating-constructional and structural lightweight concrete for enclosing and bearing constructions have been obtained.
The readiness of Indonesian toward MOOC system
Authors: Kurniasari Florentina , Jusuf Eddy , Gunardi Ardi
Published: April 2019

Learning through digital environment has become both trend and necessities for today’s education. One of the latest virtual learning trends is the Massive Open Online Course (MOOC). MOOC is spotlighted internationally and locally. Not only the internationally well-known, MOOCs, such as Coursera, edX, and Future Learn, many countries, including Indonesia, are also building their own MOOCs. However, how could this MOOC mode suitable for Indonesian learning culture? How would MOOC fit the Indonesian act of National Education System? In attempt to answer the questions, content analysis method would be used within the research through primary and secondary resources in the domain of MOOCs to see whether MOOC is potentially implemented in Indonesia based on the readiness of Indonesian learners to conduct self-study in digital environment and analysis on the act of National Education System.
Thermal Image Encryption Based on Region of Interest (ROI) and Chaotic map
Authors: B S Lokesh , M B Dr. Manjunatha
Published: April 2019

Most of the thermal image information concentrated on a particular region and 50% of image information stored in Most Significant Bit (MSB) plane. Based on these two strategy, proposed an thermal image encryption based on region of interest (ROI) and chaotic map. Firstly extract the MSB bit plane of thermal input image. This  MSB bit plane undergo ROI calculation method. This method involves the partition of MSB bit plane into several 16*16 blocks. Apply the thresholding function to each block to separate the ROI blocks. Then selected part from input thermal image undergo XOR operation between random image generated from chaotic map. For lossless decryption at the receiver side, embedded the index of ROI blocks using LSB embedding algorithm. Simulation results shows the proposed algorithm achieves good security and more efficiency.
Investigation on Process-Properties Relationship with Mechanical Properties of Lattice-Structured Cellular Material for Lightweight Application
Authors: A. Rosli N , Hasan R , H. Ng W , K. Baharudin M , R. Alkahari M
Published: April 2019

Lattice structures possess exceptional mechanical strength resulting in highly efficient load supporting systems. The lattice structure has been receiving interest in a variety of application areas and industries such as automotive, shipping and aeronautic. The metallic or polymer micro lattice structure can be categorized as lightweight and energy-absorbing structure. These characteristics are best applied to transportation part where the lightweight structure will help reduce its overall weight, thus increase the operational time since energy and cost consumption is a big concern in the industry these days. The aim of this study is to investigate relationship between process-properties and mechanical performance of polymer lattice structure. The lattice structure was designed by using SolidWorks software and fabricated using CubePro 3D printing machine. Compression test was performed by Instron 5585 universal testing machine to analyse the strength of the lattice structure. It was found that lattice structure manufactured with the setting of solid print strength, honeycomb print pattern, 70 µm layer thickness and strut diameter of 2.4 mm possesses the optimum mechanical property.
Numerical Simulation Analysis of Wood/PP Composites for Injection-Moulded Car Battery Trays
Authors: Razak Zakaria , Bakar Sulong Abu , Muhamad Norhamidi , Khairul Fadzly Md Radzi Mohd. , Farhani Ismail Nur , Tholibon Dulina , Tharazi Izdihar
Published: April 2019

This research focused on the simulation analysis of wood polymer composites (WPCs) based on polypropylene (PP) for the injection moulding of automotive parts, namely car battery trays (CBTs). A plastic CBT, which is commonly used to support the battery in a car engine, is manufactured completely through the injection moulding process. The conventional design method is clearly unable to satisfy production requirements; however, with the application of the Moldflow software rational production process parameters, the filling time, injection pressure, clamping force, and others, can be formulated. A moulded CBT was designed using a computer-aided design tool, namely CatiaV5R20, before being imported to the finite element analysis tool, Moldflow. The use of the Moldflow software enabled a full analysis to be conducted of the material flow inside the mould cavity for the moulded CBT. Two types of gates, namely, the sprue and pinpoint gates, were used, through which the analyses were carried out by the Moldflow software to check the filling time, injection pressure, clamping force and warpage, by simulation in the sequential trials. The data on the wood fibre/PP composite, where 40 wt% of wood fibre loading was used. Finally, the use of the Moldflow simulation software was presented.