bluuebunny/crossref_metadata_2025_split huggingface dataset:
A Hybrid Modeling of Long-Term Electricity Consumption Forecasting Based on ARIMA and ANN: The Case of Thailand with Projection
Authors: Jaisumroum Nattapon , Teeravaraprug Jirarat 
Published: April 2019

Modeling and forecasting of electricity consumption can provide reliable guidance for power operation and planning in developing countries such as Thailand. In this study, formulates the effects of two different historical data type is modeled by auto regressive integrated moving averaged (ARIMA) and artificial neural network (ANN) based on population and gross domestic product per capita (GDP). The derived model is validated by various statistical approaches such as the determination coefficient. Additionally, the performances of the derived model are assessed using mean absolute percentage error (MAPE), root mean square error (RMSE) and mean absolute error (MAE). Three scenarios are used for forecasting Thailand’s electricity consumption in 2011 – 2015. The simulation results are validated by actual data sets observed from 1993 to 2010. Empirical results showed that the proposed method has higher accuracy compared to single ARIMA and artificial intelligence based models.
Member States in the EU Research and Innovation Framework Programmes
Authors: Bērziņa Dina 
Published: April 2019

Sustainable growth is the key driver of development and it depends on research and innovation which creates investment opportunities for new and better products and services and thereby increases the competitiveness and employment. Research has a long history on our old continent: the European Union is a research think-tank, still the world’s leading producer of scientific knowledge but is lagging in implementation of the results. Therefore, constitution of the Framework Programmes enabled better coordination of research among all the participating countries. The EU Framework Programmes celebrated 30 years of operation recently – they have become a key element of the research policy in Europe today. Since the First Framework Programme launched in 1984, the current Horizon 2020 has expanded in scope and scale by attracting more resources and participating countries performing research on diverse topics. This paper provides an overview of the EU Member States’ engagement with emphasis on the two last Framework Programmes. It outlines the current disproportion with respect to different country group performance and provides links to various data sources for further studies.
Robotic Teaching Aid for Disabled Children: A Sustainable Solution for Industrial Revolution 4.0
Authors: Zamin N , I. Arshad N , Rafiey N , S. Hashim A 
Published: April 2019

Many special needs children suffer from a common characteristics impairment which appear as disability to interpret social cues, fail to use joint-attention tasks as well as a failure in social gaze when communicating. This what makes them different than the normal children. The results of this difficulty are the special needs children often get frustrated when they are unable to expressively share their feeling and socially interact with the community. This research is investigating the problems faced by autistic, down syndrome and slow learner children to respond and communicate appropriately with the people around them and to propose an efficient approach to improve their social interaction. Malaysian education policy is to integrate students with learning difficulties or special educational needs. Thus, the development of a robotic approach using LEGO Mindstorms EV3 to aid the teaching and learning of special needs children especially autism in in Malaysia in introduced in this paper. Robotic approach in special education provides changes, inclusive and sustainable development of the disabled community towards supporting Industrial Revolution 4.0.
Multi-level Structured Tree based Routing for Energy Efficiency in WSN
Authors: Thirupathi Regula Dr , Mohammed Ali Hussain Dr 
Published: April 2019

The manuscript should contain an abstract. The abstract should be self-contained and citation-free and should not exceed 200 words. The abstract should state the purpose, approach, results and conclusions of the work. The author should assume that the reader has some knowledge of the subject but has not read the paper. Thus, the abstract should be intelligible and complete in it-self (no numerical references); it should not cite figures, tables, or sections of the paper. The abstract should be written using third person instead of first person.
Conversion of Body Conducted Unvoiced Speech(Murmur) to Normal Speech Using Hidden Markov Model (HMM)
Authors: RajeshKumar T , Srinagamani M , Sai ram chandu M , Mounika S 
Published: April 2019

The main purpose of this paper is Conversion of non- audible murmured voice into the normal speech using Hidden Markov Model(HMM).This non audible murmur voice NAM is a one type of murmured voice which can be delivered by a NAM microphone which is attached behind the speaker’s ear. The Hidden Markov Models(HMMs) are stochastic models of statistical learning .These are very useful in speech recognition .The point of the paper is to collect as much as data from the device and convert it into audible and clear data signal that can be used for further sensory based applications. Hence, having an insight of how to convert the NAM to speech and then to whisper has a lot of benefits while keeping in mind the disadvantages of such conversion. Since, NAM is minute details of a communication between one’s own self it is highly recommended to the data in as much as discrete format as necessary since a speech signal can have various frequencies over a portion of the signal, big data approach is recommended.
The Development of Personality Ontology Based on the Methontology Approach
Authors: Zakaria Zalmiyah , Kasim Shahreen , Husna Mohamad Hasbullah Nur , Alyani Azadin Ayu , Saleh Ahmar Ansari , Hidayat Rahmat 
Published: April 2019

Complex domain occurs when a lot of knowledge overloads and knowledge trek phenomenon appeared with the raise of product complexity and the explosion of knowledge and information. The knowledge content of complex domain is difficult to organize. One of the complex domain is Fingerprint Fingerprint Personality Solution. However, it is difficult to organize the knowledge of Fingerprint solution since it is a complex domain. Knowledge acquisition also a part of the problem because there is an only little number of Fingerprint certified trainer that expert in Fingerprint solution. The other circumstances are an Fingerprint solution also have the possibility to be extended in future. To solve the following problem, Structured Knowledge is used to structure the knowledge content that will be more effectively organize the content in order to enhance reusable and extendable of the knowledge model. Structured Knowledge contains a wealth information, it can effectively help to carry out the knowledge of the complex domain. There are many ways to express the structured knowledge, Ontology is one of them. In this paper will discuss the development of Fingerprint Ontology based on METHONTOLOGY approach.
High space efficiency compact chipless RFID tag with equidistance resonances
Authors: Ammar Kholoud , Hussein Amr , Attia Mahmoud 
Published: April 2019

Radio Frequency Identification (RFID) technology provides non line-of-sight communication between the reader and the tag. This technology is widely used for various applications such as item tracking, security, access control, health care, short and long-range applications. RFID can be used as low cost data identification technology using radio waves between the RFID transmitter and the RFID receiver. Many attempts are introduced to implement the chipless RFID tags but they suffer from non-equal spacing between resonances which makes it difficult to make the decision. In this paper, compact low cost spectral signature based chipless 8-bits RFID tag is introduced. Multi dual-band resonating circuits with different resonances are used. The operation bandwidth is limited by the second resonance of the resonator. To avoid the presence of harmonics in the operating frequency range, multiple resonators with different shapes are introduced. The proposed tag instead of encoding only one data bit it encodes two data bits providing higher bits/resonator. The proposed tag provides equidistance between resonance frequencies. The tag is implemented on FR4 substrate of dielectric constant =4.4, thickness h=1.6mm and loss tangent δ=0.0018. The scattering parameters of the fabricated tags are measured using the vector network analyzer (ROHDE&SCHWARZ ZVB 20). The designs of the tags are made using the software package CST MICROWAVE STUDIO.
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.
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.
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 .
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.
Wall Heat Transfer Analysis of Internal Combustion Engine with Free Piston Linear Motion
Authors: A. Said Mior , K. Mun L , R. A. Aziz A , . . 
Published: April 2019

The manuscript should contain an abstract. The abstract should be self-contained and citation-free and should not exceed 200 words. The abstract should state the purpose, approach, results and conclusions of the work. The author should assume that the reader has some knowledge of the subject but has not read the paper. Thus, the abstract should be intelligible and complete in it-self (no numerical references); it should not cite figures, tables, or sections of the paper. The abstract should be written using third person instead of first person. Intensive researches are being carried out on the main power generator for free piston linear generator(FPLG) by both the academic and industrial research group due to its potential as a high fuel efficiency and low emission engine. The linear generator, which is a coil and a translator positioned to move linearly back and forth relative to each other. The study investigates the heat transfer data of internal combustion engine with free piston linear motion profile and compared with the conventional reciprocating engine for one cycle motion only. Engine simulation software GT-Power is employed which utilize the 1-D thermodynamic modeling. All parameters for both free-piston engine are set-up to be the same except for the piston motion profile and the injection timing. Both conventional and free piston engine models are built, simulation settings are set up, and simulations are launched in GT-ISE. Once simulation is done, results are viewed in GT-POST, the data collected was analysed and compared to investigate the dictinct effect of piston motion to heat transfer profile and data. The overall trend shows that free piston engine have a lower heat transfer rate throughout majority of the cycle. This finding agrees that due to less time of piston near top dead centre area, heat transfer losses to the wall per cycle are reduced. The heat transfer profile of the free piston also shown distinct feature compared to conventional with rapid increase and decrease of heat transfer rate, followed by a secondary peak of gradual decline of the profile.
Synthesis and Characterization of Alginate Encapsulated Zirconium-Based Ferromagnetic Sorbent for Adsorptive Removal of Dyes
Authors: Fong Lim Soh , Yung Weng Lee Agnes , Seng Kam Yat , N. David Chua S 
Published: April 2019

This paper provides insight on the removal of dyes from water using magnetic separation technique. A new alginate encapsulated zirconium-based encapsulated ferromagnetic sorbent has been synthesized by co-precipitation and electrostatic extrusion techniques. The ferromagnetic sorbent has the alginate as outer polymeric shell and zirconium-based iron oxides as inner ferromagnetic cores. The sorbent has the multi-functional properties as it is can be easily separated using external magnetic force, and effective in adsorptive removal of congo red, methyl violet, and methylene blue dyes. The sorbent was characterized by particle size analyser, Scanning Electron Microscope (SEM), Thermal Gravimetric-Differential Thermal Analyzer (TG-DTA), and Fourier Transform Infrared Spectroscopy (FT-IR). Adsorption assays were performed in batch using methyl violet, methylene blue, and congo red dyes as contaminants. The alginate encapsulated zirconium-based ferromagnetic sorbent was a potential candidate for removal of dyes under a magnetic field as separating agent. The present investigation demonstrates the ferromagnetic sorbent exhibiting good performance to remove the methyl violet, congo red, and methylene blue dyes from aqueous solutions. The adsorption experiments reveal that the adsorption performance is higher for the cationic dye than the anionic dye. The SEM and FT-IR studies show that the interaction characteristics between the dyes and the ferromagnetic sorbent where the surface of the ferromagnetic sorbent became smoother and less porous when the metal-O group (Zr-O and Fe-O) of the ferromagnetic sorbent attaches to the dye.
The Macroeconomic Determinants of Foreign Bank’s Profitability in Malaysia
Authors: Jiunn Yi Pang , R Devinaga , Yee Yen Yuen , . Suganthi , . Shalini 
Published: April 2019

The topic of this research paper is “The macroeconomic determinants of foreign bank’s profitability in Malaysia. Panel data method were employed to analyze the cross sectional data and time series data collected from 2006 to 2015 from a sample of ten foreign banks in Malaysia. Measurement of profitability is based on Return on assets which is a function of the macroeconomic determinants; GDP, inflation rate and real interest rate. The overall finding of this research study shows that GDP, inflation rate and real interest rate are the determinants of foreign banks in Malaysia. Those determinants were found to be statistically related on profitability and all of them had a positive relationship towards the profitability of foreign banks in Malaysia.
The Effect of Lecturer’s Competence and Learning Process Quality on Student’s Satisfaction
Authors: Sulistianingsih Endang , D Hartati Mursyidah , . Sumartono , Prihadi Deddy 
Published: April 2019

The purpose of the study was to find out the effect of lecturer’s competence and learning process quality on student’s satisfaction. This study was verification research using explanatory survey method. This study used descriptive analysis, classical assumptions test, and multiple regression analysis. The results of the analysis were: 1) there was no effect of lecturers' competence on students' satisfaction, 2) there was a positive effect of learning process quality on student's satisfaction, 3) there was a positive effect of lecturer's competence and learning process on student's satisfaction. The conclusion of the research is student's satisfaction can be improved by lecturer’s competence and learning process quality development.
University Writing Guidebook for Natural, Social Sciences and Humanities
Authors: Aulawi Hilmi , Ali Ramdhani M , Sulaeman Dedi 
Published: April 2019

Natural and social sciences have its own uniqueness in seeing, describing and analyzing a phenomenon. Humanities have also its own distinctiveness between them. Literature, as one of department in humanities has its extreme perspective in considering a phenomenon. While natural and social sciences describing fact, literature is indeed describing fiction. These two different paradigms have its consequences to the way of students’ writing for their papers. Since literature as one of humanities beside natural and social sciences in a university, this research investigates the university writing guidebook provided by the university in leading the students’ writing in describing fact and fiction. This research uses content analysis by analyzing four writing guide books emphasizing on how to write the final paper for natural, social sciences and literature (humanities). The result show that the four university writing guidebooks provided the writing for natural and social sciences, namely how to describe and analyze facts. While for literature, on how to analyze fiction, the university writing guidebook does not provide yet. This research contributes for the university that university must provide the rules of final paper for literature students on how to write their final papers.