bluuebunny/crossref_metadata_2025_split huggingface dataset:
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
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
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
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.