bluuebunny/crossref_metadata_2025 huggingface dataset:
Numerical Investigation on Surface Coverage of Weakly-Adsorbed Molecular SO2 Contaminant in a PEM Fuel Cell Cathode
Authors: Hasmady Saiful , Fushinobu Kazuyoshi
Published: April 2019

This paper describes attempt to numerically predict surface coverage of SO2 contaminant in a PEMFC cathode, as a step towards assessing its impact towards cell performance. Three-dimensional macro-homogeneous conservation equations of two-phase fluid flow is coupled with micro-scale cathode ORR kinetics to solve for surface coverage distribution of O-ad and SO2-ad at the surface of the catalyst layer for bulk SO2 concentrations of 2.5 and 5.0 ppm. At 2.5 ppm, SO2-ad is predicted to block ca. 20% of the active sites at cell current density of 0.2 A/cm2. The effect of SO2-ad blockage is then correlated with loss in cell performance. The numerical results are compared with experimental data from literature, which confirms that though the model successfully predicted higher potential loss with higher bulk SO2 concentration in the reactant feed, inclusion of only weakly-adsorbed SO2 will under-predict the exact potential loss experienced by the cell. This means strongly adsorbed sulfur containing species must be adopted into the model in order to better predict the severity of degradation of the cell due to SO2 contamination.
Gen Y Green Purchasing Behavior in Relation to Energy Conservation and Environmental Preservation Products in Malaysia
Authors: Rajadurai Jegatheesan , Bathmanathan Vathana , Azami Nurnazurah
Published: April 2019

The significant increase in the effect of global warming has given more attention to consumers to protect and preserve the environment.Â  This is evident as we see the purchasing trends of consumers moving towards environmentally friendly products. In Malaysia consumers consist of three main generations with varied purchasing behaviors. The aim of this study is to investigate the variables affecting Gen Y consumerâ€™s green purchasing behavior. Phase 1 being qualitative in nature, involved five focus group interview sessions and a pilot study, while phase 2, being quantitative, involved the distribution and collection of questionnaires to Gen Y consumers of green products. The independent variables that affect green purchasing behavior are environmental concerns, attitudes towards the environment and environmental knowledge. Awareness of environmental problems was found not to be the variable that affects Gen Y green purchasing behavior. The implications of this study are that it supports energy conservation and environmental preservation businesses to better understand the green market environment, its opportunities and potential, enables businesses to better market their products, create products with competitive advantages and encourage the consumerâ€™s green purchasing intentions. Subsequently, this study assists the government or policy makers to promote green purchasing behavior among the Malaysia population.
Preventing Accidents from Reoccurring due to Colour Coding Transition in Malaysian Market: a Stakeholder Analysis
Authors: Jaaffar Amar Hisham , Rajadurai Jegatheesan , Ab. Shokor Shahrul Suhaimi , Ismail Zurina , Alwi Mohd Nur Ruzainy
Published: April 2019

The harmonization of cable colour code for electrical installation with the current international standard is very important for Malaysia to ensure supply cables, reliable quality, and reasonable cable price in the Malaysian market as well increase its cableâ€™s export to all countries around the world. As the new cable colour code will associate with the change of the colour of the cored cable (e.g. black cored cable former neutral and later phase and blue cored cable former phase and later neutral), the adjustment may increase risk of electrical accidents due to confusion in cable colour code in wiring process. Therefore, a proper action and implementation plan is crucial in handling the cable colour changeover in the hope to safeguarding the safety of electrical trade workers as well as the general public in Malaysia. By using stakeholder analysis, this study propose the action and implementation plan which aimed zero electrical accidents during the cable colour code changeover in Malaysian market.
Residential Energy Efficiency: Benefits of Minimum Energy Performance Standard (MEPS) Implementation for Television in Malaysia
Authors: Mohd Isa Aishah , Roslan Mohd Eqwan Mohd , Salleh Siti Fatihah
Published: April 2019

A popular strategy for promoting energy efficiency at the national level is through the minimum energy performance standards (MEPS). Malaysia implemented MEPS in 2013 for five common household appliances; air conditioners, refrigerators, fans, televisions, and lamps. These products must undergo a performance test. Only products that meet the minimum standards are allowed to enter the Malaysian market. Based on their performance, ratings are awarded ranging from 2-star up to 5-star. A survey the authors conducted in 2017 found that about 98% of televisions sold in Malaysia have already achieved 5-star rating. This paper explores the implications of this finding and quantifies the possible savings that can be achieved in terms of electricity savings and emission reductions.Â
The Language of Civil Engineering: Corpus-based Studies on Vocational School Textbooks in Malaysia
Authors: Thiruchelvam Sivadass , Jin Ng Yu , Tong Chong Seng , Ghazali Azrul , Mat Husin Norhayati Bte
Published: April 2019

Engineering textbooks are specialized in nature, containing technical terminology which can be challenging to learners. For better comprehension of engineering concepts, there is a need for bridging the language gap by focusing on the frequently used and important engineering vocabulary. Most English Language Teaching (ELT) teachers do not necessary possess the specialist language in the field of engineering which can be rather confusing to them. It has been reported that Malaysian engineering textbooks (syllabus) were not written based on any word lists or corpora. Hence, learners require the language needed in the field of engineering â€“ English for Engineering Purposes (EEP). To meet this requirement, specialised engineering textbooks were studied to specify the meaningful lexical components which can facilitate learners to assimilate into their discourse community. In the field of civil engineering, there is no exception that learners too need to understand the composition of words found in their textbooks. This study shows the exact word lists and suggests what learners and teachers can do to learn the â€œlanguage of civil engineeringâ€.
Erbium-Doped Fiber Amplification Assisted Multi-Wavelength Brillouin-Raman Fiber Laser
Authors: Ismail Aiman , Mohammad Helmi Hazwani , Zaini Jamaludin Md , Abdullah Fairuz , Hadi Sulaiman Abdul , Pin Jern Ker
Published: April 2019

Multi-wavelength fiber laser based on Brillouin scattering in optical fiber has the potential of application in dense wavelength division multiplexing (DWDM) system. To enhance the performance of the fiber lasers, researchers proposed usages of erbium, or Raman amplification techniques. In an earlier work, it was reported that extracting residual Raman pump out of the laser cavity improves the performance of a multi-wavelength Raman fiber laser. In this paper, we proposed a setup utilizing the residual Raman pump to pump an erbium-doped fiber in multi-wavelength Brillouin-Raman fiber laser. Results show that the additional erbium-doped fiber is capable of amplifying the propagating Brillouin Stokes by more than 15-dB. This in turn helps in achieving lower stimulated Brillouin threshold and subsequently allow for higher number of Brillouin Stokes lines to be generated.Â Â Â
Review
Authors: Muruti Gopinath , Hawa Mokhtar Siti , Abdul Rahim Fiza , Ibrahim Zul-Azri , M. Al-Ghaili Abbas
Published: April 2019

Forensics is a vital point for law enforcement, civil litigators, and different experts who manage complex advanced examinations. Digital forensics has assumed a noteworthy part in a portion of the biggest criminal and civil investigations. However, the ascent in the prevalence of big data as a better approach for unraveling the challenges exhibited by huge, complex data due to the progression of innovations such as the Internet, Internet of Things (IoT), and Cloud Computing. These challenges have contributed to data deluge and forensics tool limitations in the digital forensics investigation. In this paper, a number of challenges faced by the digital forensics investigator in a big data environment are discussed. The identified challenges could significantly contribute to a more efficient digital forensics process in the big data environment.Â
One Dimensional Shallow Water Equation Streamflow Modeling using WASH123D Model
Authors: Basri H. , M. Sidek L. , S. Shih D. , C. Lloyd H. , H. Azad W. , Z. Abdul Razad A.
Published: April 2019

Reservoir inflow forecasting assists dam operator in reservoir operation by providing advance information on lake level. This paper discusses on the application of the physical-based numerical model to simulate one-dimensional channel network using WASH123D Model. The model was developed to simulate streamflow at two locations namely Sg Kejar and Sg Tiang, located in the Temengor catchment. The WASH123D model performed channel routing using shallow water equation. The model input data includes rainfall from 5 rainfall stations, river cross sections and simulated runoff data using SCS Method. Due to unavailable observed data, results comparisons were performed using streamflow results obtained using InfoWorks RS Platform. The peak flow from simulation results at Sg Kejar & Sg Tiang Station is 152.6m3/s and 36.6m3/s. The analysis shows good agreement for both simulations with Nash-Sutcliffe Efficiency of 0.68 for Sg Kejar and 0.99 for Sg Tiang. It is suggested that model recalibration shall be made once there is enough water level data to enable more accurate representation of spatial heterogeneity in the catchment processes.Â Â Â
Analysis of MPLS-TP Network for Different Applications
Authors: Suhaimy N. , S. H. M. W. Ahmad W. , A M. Radzi N. , Abdullah F. , Z. Jamaludin M. , N. Zakaria M.
Published: April 2019

In the perspective of Multiprotocol Label Switching â€“ Transport Profile (MPLS-TP) network, a reliable framework architecture or mechanism needs to be ascertained by comparing the results obtained through implementation of previously proposed scheme towards the network. This is important in order to implement an efficient system for different types of applications or services. Various results are reviewed and analyzed from the related works followed by detail discussions based on their proposed objectives. The analyses shown that most applications of MPLS-TP have been utilized for protection, followed by Operations, Administration and Maintenance (OAM), fairness and congestion control. This is due to the mission-critical operational service of protection which require us to meet the standard protection switching time of 50 ms.Â Â Â
Initial Criticality Analysis of Malaysiaâ€™s TRIGA Research Reactor Using TRIGLAV Computer Code
Authors: A Khattak M. , A. Borhana Abdoulhdi , Syahrizzat M. Yasin Nurul , Khan Rustam , Md Saad Juniza
Published: April 2019

Malaysian Nuclear Agency hosts the 1MW Thermal TRIGA MARK II research reactor since 1982. It first initial criticality was achieved on 28th June 1982 with loading of solid fuel elements like Uranium Zirconium Hydride. TRIGA MARK II started its operation of the research reactor on the same year with a 1MW power generation. Training, Research, Isotope Production and General Atomic (TRIGA) is designed to successfully actualize the variety fields of fundamental nuclear research, the manpower training and the production of radioisotopes. This study deals with the initial criticality analysis of the TRIGA research reactor using TRIGLAV reactor physics computer program. For this purpose, a model of its initial core will be developed and simulated using the software and the results will be validated against the experimental result as mentioned in the final safety analysis report (FSAR). The TRIGLAV computer code solves the neutron diffusion equation by using a finite differences method with iteration of fission density. TRIGLAV is based on four group time independent diffusion equation in two dimensional cylindrical (r, Î¸) geometry. Â TRIGLAV can also be applied for criticality of reactor, fuel burn-up calculations, and power distribution and flux distributions calculations of the core and also the reactivity predictions of the reactor.Â Â
A Computational and Experimental Study of a Small-Scale Flat-Shaped Vertical Axis Wind Turbine
Authors: Kadir NF. , Mohamed H. , Manap A.
Published: April 2019

This paper focuses on a computational and experimental study of flat-shaped turbine blades for a small scale Vertical Axis Wind Turbine (VAWT). In the computational analysis, a 2-Dimensional (2D) wind turbine model with three flat blades was designed using Ansys Flu-ent, which is computational fluid dynamics (CFD) software. The wind speed around the blades was simulated in a range of 3 m/s to 8 m/s. Velocity and pressure distributions of the airflow around the blades were then observed. Pressures acting on the blades surface were then averaged and used to estimate the angular speed of the wind turbine model using the principles of torque and moment of inertia. A small-scale prototype was designed, fabricated and tested to validate the simulation result. Testing results show that the wind turbine prototype can rotate with an average speed of 148.8 rpm when having a 3.27 m/s wind speed. At the similar wind speed, the simulation result has estimated the angular speed to be 119 rpm. The percentage difference of the angular speed is about 20%. .
Financial and Economic Safety: Formal Statement of the Task of Capital Flows Management
Authors: Likhtenshtein V.Ye. , Los V.P. , Ross G.V. , Tyshuk E.D.
Published: April 2019

The problem of global financial and economic security is considered. A substantive and formal formulation of the problem of capital flow modeling is formulated, based on two groups of theorems on economic management mechanisms: the planned mechanism and the market mechanism. The main characteristics of capital flow assessment are revealed.This is an analysis of the situation in which it can be interpreted. The structure of the flow of water and the market mechanism were determined and proposed.
Antimicrbial Effect of Diode Laser and Biossynthesis Silver Nanoparticles on Bactrium Staphylococcus Aureus in Vitro
Authors: Sh. Alnayli Raad , H. Al Hamadani Adnan , A. Yaseen Safaa
Published: April 2019

The present work was aimed to illustrate how the use of Diode laser or silver nanoparticles (AgNPs) each of them individually, as an antibacterial agent againstÂ  Staphylococcus aureus (S. aureus) as well as study the effective result from the absorption of laser energy by these nanoparticles to kill or inhibition bacterial growth. The silver nanoparticles are prepared by biological method. S. aureus are isolated and identified in the Central Health Laboratory in Al Najaf city. Nanoparticles are tested against S. aureus cultured on Muller Hinton agar but Diode laser or laser with nanoparticles are tested against S. aureus cultured in Nutrient broth. S. aureus are irradiating by Diode laser with different irradiation times, moreover there are different concentrations of AgNPs have been employed for killing and inhibition bacterial growth. Results showed that S. aureus is affected by AgNPs (mainly highest concentration of nanoparticles) also detected that decrease bacterial availability with increase time of irradiation to laser.Â
Design of Arm Processorâ€™s Elements Using QCA
Authors: Asthana Amita , Anil Kumar Dr. , Preeta Sharan Dr. , Sumita Mishra Dr.
Published: April 2019

Quantum dot Cellular Automata is one of the promising future nano-technology for transistor-less computing which takes advantage of the coulomb force interacting between electrons. The aim of this paper is to consider the logical circuits of ARM processors and further reducing their size in nanometres like 2:1 multiplexer , D Flip Flop, scan Flip Flop, 2:1 multiplexer with enable, encoder, decoder, SR FF, shift register, memory cell and program counter are designedÂ  using QCAD tool . Their cell count, area, kink energy are taken in consideration to calculate power and energy dissipation.Â Â
Detecting Different Concentrations of Potassium Chloride Using the Sensor with Photonic Crystal in Nano Range
Authors: J Patil Harshada , T S2 Indumathi , Sharan Preeta
Published: April 2019

SensitivityÂ  scheme with sensing and evaluating chemicals have beenÂ  clued-up by means of photonic sensors by coalescing chemical constituents with their optophysical properties. In this article we have corroborated a 2D ring resonator using photonic crystal optical sensor which can detect potassium chloride by knowing the transmitted flux. According to the corresponding analogyÂ  peaks were explored. Yeeâ€™s method has been used for the assessment. ElectromagneticÂ  2D model implemented to do the initiationÂ  all pass ring resonator photonic crystal. TheÂ  different concentrations of potassium chloride respectively shifts its values with the respected frequency used in the design. The quality factor from the sensor is found to beÂ  347663 and the sensitivity included is found to be in the range of 1.2 NM. The distinction in the minor level of the refractive indexÂ  occur the alteration for the cause in the judicious forming the frequency that is obtained by observing the simulation. These technique that is used toÂ  authorize the design which isÂ  unequivocally an active sensors. This analogy of the paper was been made using theÂ  deliberatedÂ Â  IPKISSIMEC tool. The GDSII file was generated with the OWL VISION tool andÂ  substantiated meticulously using the tool K-Layout . The ASCII code was formed using the generatedÂ  OWLVISION tool.Â Â Â
Based Image Watermarking Algorithm Based on Qr Decomposition in Lifting Wavelet
Authors: Kumar Shrivastava Shailesh , S.K Mahendran ting Wavelet Dr.
Published: April 2019

In this paper, a non-blind watermarking system based on lifting wavelet transform and QR factorization has been proposed. The variance between coefficients of lifting wavelet transform in a block of size 2 x 2 has been used to embed binary watermark and blocks are randomly shuffled. The system minimizes distortion of watermarked image. The performance of scheme has been tested on some standard images and the simulation results have been evaluated and compared with some traditional methods. The experimental result shows that the proposed system is robust against image processing attacks.
Extraction of Hidden Text from Images using DWT
Authors: Beslin Geo V. , Sakthidasan @ Sankaran K. , Archana P. , Umarani M.
Published: April 2019

Extraction of hidden text in web images, computer screen images, news, games and e-learning is a very important task in image processing. Compression of digital images leads to poor visual quality of background and text images. Digital images are significantly considered and segmented using DWT into text and background blocks. Huffman coding is used to perform the lossless compression process in the compressed text pixels and the SPIHT algorithm in employed to the compress the background pixels. The result of DWT segmentation shows fringes in the segmented text image. The proposed method uses connected region and edge detection approach which provides a segmented text from digital video stills. The segmented text is converted to binary image using luminance thresholding which leads to fine quality of extracted text.Â
A Neural Basis for the Implementation of Deep Learning and Arti cial Intelligence
Authors: F. Smeaton Alan , . .
Published: April 2019

One of the mathematical cornerstones of modern data ana-lytics is machine learning whereby we automatically learn subtle patterns which may be hidden in training data, we associate those patterns with outcomes and we apply these patterns to new and unseen data and make predictions about as yet unseen outcomes. This form of data analytics al-lows us to bring value to the huge volumes of data that is collected from people, from the environment, from commerce, from online activities, from scienti c experiments, from many other sources. The mathematical basis for this form of machine learning has led to tools like Support Vector Machines which have shown moderate e ectiveness and good e ciency in their implementation. Recently, however, these have been usurped by the emergence of deep learning based on convolutional neural networks. In this presentation we will examine the basis for why such deep net-works are remarkably successful and accurate, their similarity to ways in which the human brain is organised, and the challenges of implementing such deep networks on conventional computer architectures.Â Â
Preliminary Study on Educational User Interface Architecture for Social Network
Authors: Muniratu Salihah Aishatun bt Yahya Siti , Bt Ahmad Suzana
Published: April 2019

Social network has becoming a major platform of daily activities from leisure to business purposes.Â  Educational activities could also benefited from this trending platform for its dynamic functions. Among educational activities that could be performed on social network are collaborative studies, blended learning and group activities. Through this platform, students and teachers can be connected to each other for the purpose of exchanging ideas and information. High-end interaction and connectivity between students and teachers makes social network popular as learning platform. A preliminary study on an online tuition conducted by latihminda.com has been conducted. The focus of this study is to proposed a suitable educational user interface architecture for social network education. Elements of real-time interaction and intelligent avatar used by latihminda.com are studied and an educational user interface architecture for social network are proposed in this paper.Â Â
Big Data Social Media Analytics for Purchasing Behaviour
Authors: Shayaa Shahid , Sulaiman Ainin , Zahid Piprani Arsalan , Ali Al-Garadi Mohammed , Ashraf Muhammad
Published: April 2019

The social media is rich in data and of late its data have been used for various types of analytics. This paper examines the purchasing behavior and sentiments of social media users from Jan - 2015 to Dec â€“ 2016. The purchasing behaviour of the users is categorized into five: buy car, buy house, buy computer, buy hand phone and going for holiday. The paper will also demonstrate the trend of each individual category. The results of the analysis would provide businesses information on the social media usersâ€™ purchasing behavior, their sentiment thus allowing them to take more appropriate strategies to enhance their competitiveness.Â Â
Mechanical And Thermal Issues In Downsize Engine: A Review
Authors: Ahmed Aqeel , S. Wahab M. , A. Raus A. , Kamarudin K. , S. Bala1 and Mohd Badli Ramli A.
Published: April 2019

This work is highlighting the previous research work on the mechanical and thermal issues in the Downsize Engine. By using downsize engine technology, the consumption of fuel and emission decreased by reducing geometrical dimensions of combustion chamber parts and thermal and mechanical efficiencies increased by increasing the power output bywith the help pg using turbochargers. Using turbochargers, a super knock could result from the pre-ignition and induces severe oscillation and leads to the thermal and mechanical stresses on account of diminished mass and geometrical aspects of the various parts employed in the combustion chamber (CC). The increment in thermal and mechanical stresses may damage the main part(s) (piston) of the combustion chamber. In focusing the above facts; the shape design and the best material is the right choice for the better combustion and long life of the CC parts (piston) in downsizing engine respectively.Â Â
Wearable Device-based Fall Detection System for Elderly Care Using Support Vector Machine (SVM) classifier
Authors: Syazarin Natasha Abd Aziz Nur , Mohd Daud Salwani , Iman Mohd Saâ€™at Nurul
Published: April 2019

Fall is an increasing problem as people ageing. It may happen to anyone, but their incidence does increase with age. Hence, the elderly will be facing catastrophic consequences due to falls. Nevertheless, there are still vulnerable in its accuracy in categorizing and differentiating the Activities Daily Living (ADL) and falls as most of the existing systems cause false alarm. This paper presents the research and simulation of wearable device-based fall detection approach by addressing the building of wearable device-based fall detection system for elderly care by using mobile devices. Two main phases involve in this research: online phase and offline phase. Online phase covers in data acquisition step whereby the raw data of simulated fall by participants is collected via built-in-tri-axial accelerometer in a smartphone, then automatically sent towards the computer via wireless communication. Meanwhile, offline phase covers data pre-processing, feature extraction and selection and data classification where these steps are handled in offline mode. Support Vector Machine (SVM) classifier was employed, and evaluated in the analysis. Overall accuracy rate, sensitivity, specificity as well as False Positive Rate (FPR) and False Negative Rate (FNR) were calculated. The findings suggest that SVM with Polynomial (order 5) method which achieved 68.91% overall accuracy as well as producing only 24.46% FPR is the most precise model for fall detection system in this paper. This approach has the potential to be implemented and deploy in real mobile application in future. Â Â
End-to-End Packet Delay Analysis and Modeling Concept in Multi-Hop Wireless Network
Authors: Pratap Srivastava Arun , Awasthi Shashank
Published: April 2019

Multi-hop remote innovation improve the a few properties (limit and scope) in a financially savvy way and it has been present in Fourth-Generation (4G) norms. A multi-hopÂ  remote framework is can be clarified in better path like as multi-hop and time-opened yet the compelling limit idea is produced in view of single-jump and nonstop time correspondence frameworks. So two idea are utilized to portray the conduct of framework: the multi-jump successful limit idea for multi-bounce systems and the Mixed Continuous/Discrete-Time (MCDT) viable limit idea for time-opened systems coming about in this way there are two ways are include to approve these two idea on perfect remote interchanges, bundles navigate various remote system gadgets and parcels are transmitted to or gotten from a remote system gadget each Transmission Time Interval (TTI). So in the field of Multi-hop remote Network, the paper concept enhance the execution.Â Â
A Rule Based Approach for Translation of Causative Construction of English and Malayalam for the Development of Prototype for Malayalam to English and English To Malayalam Bilingual Machine Translation System
Authors: K. Bijimol T. , T. Abraham John
Published: April 2019

Malayalam is one of the Indian languages and it is a highly agglutinative and morphologically rich. These linguistic specialties of Malayalam determine the quality of all kinds of Malayalam machine translation systems. Causative sentences translations in Malayalam to English and English to Malayalam were analysed using Google Translation System and identified that causative sentence translation in these languages is not up to the mark. This paper discusses the concept and method of causative sentence handling in Malayalam to English and English to Malayalam Machine Translation Systems. A Rule-based system is proposed here to handle the causative sentence in both languages.Â Â
The Role Of Neuro-Imaging Techniques In Prediction Of Stroke
Authors: Maharishi R. , Rathnasabapathy Maya
Published: April 2019

At present there are many techniques and methods are used to measuring brain injuries or functions of the brain in the modern medicine scenario. A critical goal of this research study is that the stroke has classified the location and volume of the lesion for treatment. In the stroke assessment most commonly used brain imaging techniques are administered to evaluate the position of pathology and its functions. Any types of stroke it may be it will be assessed based on the Neuro-imaging methods like Computerized Tomography (CT scan), Magnetic Resonance Imaging (MRI scan), Functional Magnetic Resonance Imaging (fMRI), Electroencephalography (EEG), Tissue Plasminogen Activator (Tpa), Transcranial Magnetic Stimulation (TMS).Â  These neuroimaging techniques are excellent technical development to the current state wherein these methods provide physiological information highly relevant to the stroke patient. And also the study is exploring how the neuroimaging techniques are making a significant impact on the neuropsychological functions of stroke patients.Â
An Efficient Ids Based on Fuzzy Firefly Optimization and Fast Learning Network
Authors: Dasaradha Ram Bh , V. Subba Rao B.
Published: April 2019

Overseen Interruption Recognition Framework is a framework that has the capacity of picking up from cases about past attacks to perceive new strikes. Using ANN based interruption discovery is promising for decreasing the amount of false negative or false positives in light of the fact that ANN has the capacity of picking up from certified cases. In this article, a made learning model for Quick Learning System (FLN) in light of fluffy firefly streamlining (FFO) has been proposed and named as FF-FLN. The model has been associated with the issue of interruption location and endorsed in perspective of the famous dataset KDD99. Our created strategy has been taken a gander at against a broad assortment of meta-heuristic figurings for planning ELM, and FLN classifier. FF-FLN has defeated other learning approaches in the testing exactness of the learning.Â
Systematic Cluster Head (CH) Selection Through Node-Grade Based Clustering (NGBC) in WSN
Authors: K. Deepak Keynes J. , Shalini Punithavathani D.
Published: April 2019

As it is well known, in Wireless Sensor Networks, the sensor nodes will be either mobile or static. When mobility is concerned, on the whole network performance could be degraded, since the sensor nodes are furnished with restricted battery power, restricted memory, less computational ability and lower range of communication. So, a mechanism which is effective is needed there for forwarding the data packets with efficient energy management and coverage. With that note, the principle target of this work is to propose systematic method of CH selection based on the factors such as low mobility, density of the nodes and their remaining energy. Moreover, an innovative method called Node-Grade Based Clustering (NGBC) is proposed in this paper so as to select the CHs, studying the nodeâ€™s energy and position regarding to their Base Station (BS), which will act as a sink for collected information. The CHs are replaced in every round based on its duty cycle on sensor nodes and Threshold Energy Rate (TER). Since the BS evaluates the quantity of every round a CH (Cluster Head) can sustain, it minimizes the quantity of energy consumed and increases the WSNâ€™s lifetime. The results of the simulation demonstrate that the proposed algorithm attains higher coverage, efficiency in energy and network lifetime. Furthermore, the performance results in the work which is proposed, are distinguished with the algorithms proposed previously such as LEACH and HEED using some evaluation metrics like packet delivery ratio, throughput, energy consumption and end-to-end delay to prove the efficiency of energy efficient NGBC.Â Â
RSM And ANFIS Based Parameters Prediction of Robot Using GRA
Authors: Gopu P. , Dev Anand M. , . .
Published: April 2019

Ability of robot arm manipulation must be highly accurate and repeatable one. Performance uncertainty is causes by some noise factor. The effects of these factors were model to reduce the uncertainty of the robotic arm performance. In this paper highlights the prediction of output parameters robot cell data like X, Y and Z axis through Response Surface Methodology (RSM) and Adaptive Neuro Fuzzy Inference System (ANFIS) for reduce the performance variation of the robot. The input kinematic parameters like Î¸1, Î¸2, Î¸3, Î¸4, Î¸5 has been considered and the output multi objective parameters X, Y and Z axis has been converted in to single objective parameter. The graph which plots between parameters and the output response indicates the influence of the every single parameter for the performance output contribution. From the simulated values of Response Surface Methodology and Adaptive Neuro Fuzzy Inference System, the percentage of error obtained in Adaptive Neuro Fuzzy Inference System has minimum one when compared with Response Surface Methodology of prediction.Â Â
The Role of Students in Transition from School to College: Different Challenges in Elt
Authors: Jeyagowri K. , Ilankumaran M.
Published: April 2019

This paper depicts the predicament of the transitional students who have shifted from school to college. The challenges of the studentsâ€™ tenacity in learning English have been observed from the perspective of their transitional dilemma. The external and internal challenges of the students during the phase have also been discussed in this paper. It examines the changes of the adolescentsâ€™ attitude, emotions and stress. The paper also offers some strategies to come out of the crisis. In the globalization era, the classical method of teaching English that is teaching the language in the confined four walls have to be transformed into various activity based teachings which strengthen the teacherâ€“student interaction in many ways. The subject English is helpful and effective in curriculum. The experts of textbooks have planned or designed itto prepare the learners use the language proficiently. The practice of English in secondary education is considered to be arising so many problems. The expected time frame for completion of the syllabus exceeds when the level of students are a combination of the vernacular medium and the English medium. This article unveils the factors which affects the process of English language learning among the students. A secondary level student who passed with merit or distinction cannot face the challenges after graduation. Those students struggle to write their own CV appropriately. Apart from that even the professionally trained teachers are unable to write the leave letter properly. Some of the important problems and complications of the rural students are also highlighted in the paper. Teaching in rustic and urban regions in India faces numerous issues in the academic framework like insufficient materials in government schools, lack of skilful teachers, lack of teaching quality, etc. This paper uncovers different complications in the system of education and recommend solution for them.Â Â Â
Mother-Daughter Relationship in the Plays Tara and Thirty Days in September of Mahesh Dattani
Authors: Bhattacharya Suchismita , Suresh P.
Published: April 2019

The mother-daughter relationship is the most beautiful and innocent relationship in this world. A mother does every possible thing to make her child happy. The relationship between a mother and daughter has considered one of the sweetest relationships on the planet because a daughter reflects the character and nature of her mother. In most of the cases, daughter is just the carbon copy of her mother. A child rests well in the mother's lap because it is the safest abode for the child. A child, especially a girl child is always special to her mother and vice-versa, but the feeling of being an individual gets ruined when a relationship between a mother and her daughter loses the balance. Relationships are based on trust, belief and love, and these three aspects are essential for the survival of any healthy relationship. Connections can either be made or can be broken, based on these three elements. The plays Tara and Thirty Days in September, written by the dramatist Mahesh Dattani, talk about the relationship between a mother and a daughter and the games also deal with the psychological mindset of the mother(s) and the daughter(s) and their sufferings in the urban society of India.Â
The Role of Media in Enhancing Communicative Competence of the Learners at Tertiary Level â€“ An Analytical Study
Authors: Abilasha R. , Ilankumaran M.
Published: April 2019

Media is a channel through which every message is communicated using a language in a meaningful way. The language used in media can be said to be â€˜specificâ€™ and there arises a need to have the course -- Mass Communication Programme. Communicative competence means the capability to employ language effectively and aptly in social contexts and circumstances. Testing communicative competence is a challenging format by which the teachers assess the competence of learners. This includes information gap and role-play activities for speaking, letter writing, note-taking and summarising. The combination of all these enhance listening and writing competencies. An investigation has been conducted among the students to develop the communicative competence through media such as newspapers, internet, T.V, Radio etc. 50 respondents from two colleges, located in rural and urban areas, with 25 students each from a college, have been chosen for analysis. A questionnaire is used as a tool for the purpose of analysing communicative competence of the selected second year students of arts and science courses. This paper focuses on the importance of media in developing the language skills among the students at tertiary level.Â Â Â
Developing Productive Skills Through Receptive Skills – A Cognitive Approach
Authors: Sreena S. , Ilankumaran M.
Published: April 2019

Communication plays an important role nowadays. The transmission and interchange of ideas, facts, and feelings of action are known as communication. It is done through words, actions, signs, objects or combination of all these. Communication skills are needed in each and every field of life. Everyone uses a language to communicate and to express oneself to get ideas and to connect with persons for a purpose. There are four basic skills of learning English language such as speaking, listening, reading and writing. The difficulties in speaking and writing can be found and then improved by some classroom activities by the way of giving task to the students for listening. Teachers give assignments to the learners to develop their writing skills. Cognition refers to the mental activities like thinking, remembering, memory, learning, comprehension, perception, motivation and using a language. The understanding and learning of information and concept is known as the cognitive approach. It is an approach that maintains how a person feels and behaves. Cognitive learning is about developing true understanding and is a way of learning that helps the learners to use their brains more effectively. The configuration of thought processes and psychological activities like problem solving and decision making from early childhood to adulthood is called as the cognitive development.  This article deals with the ways and means of enhancing the speaking skills by intensive practise, writing through different activities and improving the receptive skills of the learners through cognitive approach.
Prime Graceful Labeling
Authors: Hameed Hassan T. , Mohammad Abbas R.
Published: April 2019

A graph G with m vertices and n edges, is said to be prime graceful labeling, if there is an injection   from the vertices of G to {1, 2, ..., k} where k = min {2m, 2n} such that  gcd ( ( ),  ( )=1 and the induced injective function   from the edges of G to {1, 2, ..., k − 1} defined by  ( ) = |  ( ) − ( ) | , the resulting edge labels are distinct. In this paper path  , cycle Cn , star K1,n , friendship graph Fn , bistar Bn,n, C4 ∪ Pn , Km,2 and Km,2 ∪ Pn are shown to be Prime Graceful Labeling .
Performance Analysis of Aes and 3des for Implementing Multi Level Authentication in Cloud Through Rest Api
Authors: J. Balachandran M. , Sujatha P.
Published: April 2019

Last couple of decades, internet usage has been changed each and every technology domain. This has lead to implementation and accommodation of cloud computing. As the Cloud has the nature of sharing the data, it led to various types of security attacks. Hence security mechanisms which has various features/types are needed and hence security breaches can be prevented. Authentication is one of the vital techniques playing a major role in security part. Cloud Computing verifies the identification of a user during the process of accessing the services from cloud servers. Different authentication techniques are used to verify the user’s identity before granting the access to them.  This paper  analyze the performance of AES and  3DES algorithms and find out the best suit for implementing multi level authentication in cloud. Based on execution time, request and response time against the concurrent user load and file size, AES is faster, more secure and safer than 3DES.
Analysis of The Main Components Forming the Business Development Model of Technological Ideas in Iranian Research Institutes
Authors: Abdi Nariman , Torabi Taghi , Radfar Reza
Published: April 2019

The purpose of this article is to present the main components forming business development model of technological ideas in Iranian research organizations. This research is fundamental objectively (empirical fundamental research) and it is non-experimental in terms of data collection method (acquisitive research) and according to the research approach is qualitative. This research was implemented with a multiple case study strategy, which ultimately the research objective will be realized by identifying the steps, the activities of main beneficiaries and the contributing factors in the business development of technological ideas derived from case studies with each other and with the research literature. The study population included research institutes and government research institutes covered by the Ministry of Science, Research and Technology, Ministry of Health, Medical Education, or other executive agencies. Based on the systematic elimination sampling method, the Petroleum Research Institute, Agricultural Biotechnology Research Institute, Botanical Research Institute, Research Center of Medical Science and Technology, Pasteur Institute of Iran and the University Jihad were selected. Direct observation, interviewing and studying documents were used to collect data of this research. Tools of content analysis, within-case and cross-case analyzes were selected for analyzing information from several case studies for analyzing information and comparing research results with subject literature. The results showed that the main components forming business development model of technological ideas in Iran's state research institutes consisted of five main stages, 15 executive steps, 8 key activities, and beneficiaries, and intra and extra organization factors.Â Â
Led Light Computer Simulation and Design on Solar Battery
Authors: I.I Bayneva
Published: April 2019

The article considered the features of architectural lighting and lighting devices. They analyzed the requirements for architectural luminaires and their features, solar elements, their operation principle and design. They described the developed luminaire, its design and light sources and the device electronic elements. The modeling of lamp light distribution and illumination is car-ried out.Â Â Â
Development Prospects of Transportation in the Agroindustrial Complex by Reducing the Damage of Fruit and Vegetable Products When using the Pneumatic Container
Authors: N.V Byshov , S.N Borychev , I.A Uspenskiy , A.V Shemyakin , I.A. Yukhin , D.A Fedyashov , I.A Piskachev
Published: April 2019

The aim of the study is to reduce damage to potatoes in the body of vehicles when placed in containers for intrafarm transportation due to the development of new science-based technical solutions. Research methods are theoretical studies performed on the basis of laws and methods of theoretical mechanics. The task of the study is to determine the damage of potatoes when conducting laboratory tests on a shaker table that simulates the movement of a vehicle. The shaker table is a control unit, an installation that generates a reciprocating motion and a platform attached to the installation, which produces oscillatory movements of specified parameters. When imitating the movement of a vehicle, the following parameters were set: platform oscillation frequency from 6 Hz to 10 Hz, with increment of 2 Hz; the oscillation speed of the cargo platform from 1.8 m / s to 3.0 m / s, with 0.6 m / s increment and platform oscillation amplitude of 20 mm. Each stage of the experiment lasted for 2 minutes. According to the results of the experiment and the analysis of the damage to potatoes, the values of damage were obtained, which do not go beyond the maximum permissible agrotechnical requirements of 5 %, with the maximum specified vibration parameters. The results of the experiment suggest that the use of a pneumatic container leads to a decrease in the damage of potatoes when the vehicle is moving along a micro-profile of field roads. When using this pneumatic container, the share of damaged products decreases by 0.6-1.1 % with an increase in the vehicle speed by 1.7 times.Â Â Â
Economic and Biological Features of the Holstein Cows Selected in Hungary when Year-Round Stable System
Authors: Gennadiy Mikhaylovich Tunikov , Nina Ivanovna Morozova , Farrukh Ataullakhovich Musaev , Vyacheslav Ivanovich Lebedev , Larisa Vasilyevna Ivanova , Yuliya Sergeevna Muravyeva
Published: April 2019

The purpose of the work is to study economic and biological features of the Holstein cows selected in Hungary when year-round stable system in conditions of the reconstructed dairy complex. Economic characters of purebred Holstein cows of Hungarian selection were studied (86 animals). The diets of cows were formed using the ASP program. Feeding control was carried out on the biochemical parameters of cows' blood. Hematological parameters of blood: leukocytes, erythrocytes and hemoglobin were determined with hematology analyzer XT-2000i from Sysmex. Total protein in blood serum (by biuret reaction), albumins and globulins, and bilirubin were determined with photocolorimeter KFK-2. The content of glucose and cholesterol in the blood was determined with the help of a biochemical automatic analyzer. Blood enzymes: ALT and AST were determined by the Reitman-Fraenkel method. Lactation yield and milk quality of cows were studied by the first three lactations, depending on the genealogical affiliation on three lines: Montvik Chiftain - 17 heads; Vis Beck Idiala - 50 heads and Reflection of Sovering - 19 heads. To study the lactation performance of cows, information recorded in computer base â€œSELEXâ€, functioning at the farm, was used. The intensity of milk ejection was considered with the help of â€œDairymasterâ€ program. The physical-chemical parameters of Holstein cows' milk were studied in the second lactation. The following parameters were determined in milk: density, acidity, freezing point, heat resistance, purity, fat weight fraction, protein, lactose and SOMO. Milk quality parameters were determined with the help of ultrasonic device "Ecomilk-M". In addition to the above parameters, the presence of antibiotics and the number of somatic cells were determined in the commercial milk. Holstein cows of the Hungarian selection had economic and biological features due to age and genealogical affiliation. The maximum milk yield for three full lactations was obtained from cows of the Vis Beck Idiala line - 20,881 kg of milk. In comfortable conditions of keeping and feeding, the Holstein cattle of the Hungarian selection realized the genetic potential: in terms of milk yield by 86.1-98.6 %, in the fat weight fraction by 102.7-108.4 % and in protein weight fraction by 95.2-104.9 %.Â Â