bluuebunny/crossref_metadata_2025 huggingface dataset:
Diagnostic Value of Immature-to-Total Neutrophil Ratio in Neonatal Sepsis
Authors: Husnain Ali  , Ejaz Hussain  , Imran Mahmood Khan  , Iqtada Haider Shirazi  , Muhammad Imran  , Bilal Ahmad
Published: December 2019

Background: Neonatal sepsis is the third most common reason of neonatal mortality in Pakistan. Blood culture, the gold standard test for diagnosis of neonatal sepsis, is time consuming. Therefore, rapid diagnostic tests with good specificity and sensitivity is needed for accurate and early diagnosis of this condition. The objective of this study was to determine the diagnostic value of abnormal (≥ 0.2) immature-to-total-neutrophil ratio in neonatal sepsis.Material and Methods: This cross-sectional study was carried out on 288 neonates, aged 0-28 days, admitted with suspected sepsis. Detailed history of the neonates was recorded including gender, age, birth weight, maternal age, gestational age and clinical features. Blood culture and Peripheral blood films were done in each case. Differential leucocyte counts, total Polymorphoneutrophil count (PMN), immature neutrophil count, mature neutrophil count and calculation of I/T ratio was carried out in the Pathology Department of PIMS, Islamabad. The study outcome was divided into three groups on the basis of positive or negative blood culture and I/T ratio as normal, probable sepsis and proven sepsis group. Data was analyzed by SPSS version 21.0. Diagnostic value of I/T ratio was determined in NS by calculating values of sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV) by considering the blood culture as the gold standard test of NS.Results: The mean age and weight of the neonates at the time of admission was 1.1 (± 0.6) days and 2.51 (± 0.40) kg, respectively. About 60% of the neonates were males and 118(41%) neonates had I/T ratio of ≥ 0.2. On the basis of positive or negative blood culture and I/T ratio, 82 (28.5%) neonates were diagnosed as proven sepsis, 43 (14.9%) neonates had probable sepsis and remaining 163 (56.6%) neonates were declared as normal. Out of 82 neonates with positive blood cultures, 75 (91.5%) had I/T ratio ≥ 0.2, while 7 (8.5%) had I/T ratio ≤ 0.2. The sensitivity, specificity, positive and negative predictive value and diagnostic accuracy of abnormal I/T ratio to diagnose neonatal sepsis was 91%, 79%, 64%, 96% and 83%, respectively.Conclusions: Due to substantially high diagnostic accuracy of I/T ratio ≥ 0.2, we recommend it as a useful, rapid and cost-effective tool in accurate diagnosis of neonatal sepsis.
Implication of Production and Monitoring Techniques in Bayesian Single Sampling Plan using Gamma-Zero Inflated Poisson Distribution
Authors:   Department of Statistics, Bharathiar University, Coimbatore, Tamilnadu, India., Kaviyarasu* V. , Sivakumar P. ,   Department of Statistics, Bharathiar University, Coimbatore Tamilnadu, India.
Published: December 2019

This article explores the problem of investigate Single Sampling Plan (SSP) by attributes under Bayesian theory and illuminate its importance methodology in manufacturing industries. The modern technological advancements and well monitoring of the production process are facilitate to enhance the standard of product. In such situation products are not meeting the specified quality standards is a rare phenomenon. However, random fluctuations in producing processes might lead some merchandise to an imperfect quality. It has been assumed that the number of defects per unit of product follows a Zero Inflated Poisson distribution (ZIP) and the Gamma distribution is the conjugate prior to the average number of non-conformities per item. This article proposed a new sampling procedure as Bayesian Single Sampling plan (BSSP) using Gamma-Zero Inflated Poisson (G-ZIP) distribution. Necessary tables for the selection of optimal plan parameters and numerical illustrations were made for this sampling plan. Furthermore, the applicability and usefulness of the proposed Bayesian sampling plan under the G-ZIP model have been demonstrated by a few examples and comparisons were made with other sampling plans.
Performance Assessment of the Vertical Flow Constructed Wetlands Treating Effluent from the UASB Reactor – A Demonstration in a Tropical Climatic Region
Authors:   Department of Civil Engineering, A.M.U, Aligarh, India, Kulshrestha* Kamal , Khalil Prof. (Dr) Nadeem ,   Department of Civil Engineering, A.M.U, Aligarh, India
Published: December 2019

This paper presents the performance of the vertical flow constructed wetlands (VF-CWs) that has been investigated at a demonstration-scale level for the treatment of effluent from the anaerobic digestor (up-flow anaerobic sludge blanket) for municipal wastewater. The area of the bed is 480m2 with a depth of 1.0m, having dual media. The macrophytes (vegetation) used in the VF-CWs is phragmites australis. The performance efficiency of the system was measured for different parameters like BOD, COD, TSS, TKN, and TC. The result indicates that the combination of UASB & VF-CWs offers a very promising way to deal with the municipal wastewater within cost-effective and sustainable approaches, particularly in the developing countries in a tropical climatic regions. The overall removal efficiency from UASB and VFCW for COD, BOD, TSS, TKN is 80.8%, 91%, 88.23% and 92.25% respectively. The total coliforms removal has been observed from 1E+06 to 1E+04 CFU/100ml
Modeling and Analysis of Communication Subsystem design Process for Wireless Sensor Networks based on Petri Net
Authors:   PhD Scholar, Amity School of Engineering and Technology, Amity University Haryana, Gurgaon, India., Dahiya* Sonal , Kumavat Dr. Sunita ,   Assistant Professor, Amity School of Applied Sciences, Amity University Haryana, Gurgaon, India., Singh Dr. Priti ,   Former Director, Amity School of Engineering and Technology, Amity University Haryana, Gurgaon, India., Sekhon Dr. Karamjit Kaur ,   Associate Professor, Amity School of Engineering and Technology, Amity University Haryana, Gurgaon, India.
Published: December 2019

Wireless Sensor Networks (WSNs) have numerous applications in the field of engineering. These networks have variety of design constraints and energy is most important one. As energy harvesting is not possible in most of the cases, energy conservation is the only option available to the researchers. Energy efficient communication is the key to energy conservation as most of the energy is spent in transfer of data from one node to another. This article is devoted to development of energy efficient communication system design process model based on Petri Net for Wireless Sensor Networks. This model not only facilitates to examine the dynamicity in design process but also evaluates the design process for any deadlock conditions. Based on this model, radiating element array for communication in sensor networks can be designed and developed and therefore can be used to improve the overall energy efficiency of the network.
Project –Appraisal Vis-À-Vis Risks and Uncertainty Management in Construction Industry: A Plausible Strategic Maneuver
Authors:   Research Scholar, Gitam (Deemed To Be University), Visakhapatnam, Andhra Pradesh, India, I.L.N* Prasad , K.V.G.D Balaji ,   Professor Of Civil Engineering, Gitam(Deemed To Be University), Visakhapatnam, Andhra Pradesh, India., Kapuganti Chitti Babu ,   Assistant Professor, School Of Architecture, Gitam University, Visakhapatnam, Andhra Pradesh, India., Kumar T. Santhosh ,   Assistant Professor, School Of Architecture, Gitam University, Visakhapatnam, Andhra Pradesh, India.
Published: December 2019

Genesis of risk and uncertainty is an innate facet in any project. A cause, occurrence and consequence are the signature- hallmarks of every risk. Dodging and dealing with plausible critical situations in complex projects demand strategic quantification and management of uncertainties of different nature much in advance. In this milieu, we propose a methodology to classify uncertainties based on the dictates of probability theory, possibility theory, belief/plausibility theory and fuzzy set theory. A general framework of risk and uncertainty management is forwarded. Our recommendation embraces: (1) identification, assessment, analysis and distribution of all possible risk and uncertainty amongst the parties involved or those who might get associated in accordance to their capacity, competency and characteristics; (2) allocation and distribution (governed by the terms and conditions of the contracts) of the various risks and uncertainties to those, capable of handling them better and (3) monitoring, scrutiny, response and mitigation by those assigned according to the contractual-conditions. It is expected that the proposed model shall serve as a ready-to-use template for project valuation to effectively address plausible risks and uncertainties in construction-industries, eventually contributing to the cause of sustainable development.
Civic Consciousness in the Russian Youth Community
Authors:   Institute of Sociology and Regional Studies of Southern Federal University, Rostov-on-Don, Russia., Lubsky* Anatoly Vladimirovich , Mamina Daria Alexandrovna ,   Institute of Sociology and Regional Studies of Southern Federal University, Rostov-on-Don, Russia., Kovaleva Alisa Vitalievna ,   Institute of Sociology and Regional Studies of Southern Federal University, Rostov-on-Don, Russia.
Published: December 2019

The features of civic consciousness in the youth community as a structure of mental programs determining the civic practices of youth in modern Russian society are considered herein. The influence of Russian statehood and the dominant national-civic identity, youth policy, as well as emerging civil society institutions, on the formation of the civic consciousness of young Russian citizens and their civic participation in public life is revealed.
Consumer Perception towards Food Delivery Applications with Special Reference to Dibrugarh Town
Authors:   Department of Commerce, Dibrugarh University , Dibrugarh, Borgohain* Merry
Published: December 2019

‘E-commerce’- a trending wave in the field of trade and commerce. Of that food delivery applications has created a tremendous flow among the youth and almost every streets of all the cities give a sight of traffic on Zomato, Swiggy, Ubereats etc.Various such food apps have been linked up with different restaurants to grasp the satisfaction of the foodies by delivering the food in their doorsteps. Consumer perception implies an individual’s attitude towards a product or services provided to him/her which is affected by advertisements, reviews, social media, personal experiences. So being consumer the “King of Market” , influences to study their perception and awareness level of such food Apps and the study would also make an attempt to understand the influencing factors of using such applications. The study would be based on primary data and cofined to Dibrugarh town considering the respondents of age group between 16years to 30 years.
Design of 8T CNTFET SRAM for Ultra-Low Power Microelectronic Applications
Authors:   Asst Professor, Department of ECE, VNRVJIET, Hyderabad, India., Chandra* K Sarath , Kishore K Hari ,   Professor, Department of Electronics and Communication Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, AP, India., Giri Pushpa ,   Asst Professor, Department of ECE, VNRVJIET, Hyderabad, India., Reddy E Santhosh ,   pursuing Masters in VLSI System Design, Department of ECE, VNRVJIET, Hyderabad, India.
Published: December 2019

At around 10nm, direct source to drain tunneling in COS-MOS technology constituting fundamental limitations that in turn hold back their suitability for modern electronic appliances chiefly as far as area, energy competency and performance. In advanced electronic appliances, memory constituents play a crucial part. Almost in every digital appliance, memory component is mostly preferred due to its unique potentiality to withhold information. Due to rapid technology advancements, architecture of SRAM is truly tested as far as delay, energy efficiency and stability. Traditional 6T memory unit experiences passage transistor conflict arises the contrast among read balance and write competence. The paper that proposed here contrasts the performance of distinctive CNTFET based 8T memory unit architectures like Traditional and Dual-Port with respect to write delay, read delay and power efficiency like static and dynamic. 8T SRAM bit cell is designed with 32nm CNTFET technology using HSPICE Tool. From the HSPICE simulation results, Dual-Port CNTFET SRAM has provide better read and write delays were reduced by ~8.8% and ~16.3%, static power and dynamic power by ~12.5% and ~42.2% respectively than conventional one.
System to assist in the Diagnosis of Diabetes using Ontology and Machine Learning
Authors:   his Institut of Mathematics research (IMAR), Felix Houphouet-Boigny University, Abidjan, Côte d’Ivoire,, Issa* Traoré , Souleymane Oumtanaga ,   Laboratory for Informatics and Telecommunications Research (LARIT), INPHB, 08 BP 475 Abidjan 08 (225), Cote d’Ivoire., Lishou Claude ,   Génie Électrique, Cheikh Anta Diop University, Dakar | UCAD · ESP, Dakar, Senegal
Published: December 2019

Diabetes mellitus has become a public health problem in both developed and developing countries. If it is not treated early, diabetes-related complications in many vital organs of the body can become fatal. Its early detection is very important for early treatment that can prevent the disease from progressing to such complications. This article focuses on designing a system to assist in the diagnosis of diabetes disease based on medical ontology and automatic learning. The proposed method uses automatic learning algorithms as a classifier for the diagnosis of diabetes based on a medical data set. The ontology suggests a pre-processing of a coherent, consistent, interoperable and shareable knowledge basis of data and the machine learning method focuses on classification based on symptoms and medical tests. Based on the experimental results, DDAS not only offers better performance in predicting and diagnosing diabetes in individuals, but also has better accuracy in recommending useful treatment to patients.
Expert System for Information Technology Services Management
Authors:   Escuela de Post Grado, Universidad César Vallejo, Lima, Perú., David* Flores Zafra , Milagros Carhuancho Mendoza Irma ,   Escuela de Post Grado, Universidad César Vallejo, Lima, Perú., Oswaldo Venturo Orbegoso Carlos ,   Escuela de Post Grado, Universidad César Vallejo, Lima, Perú., Guillermo Sicheri Monteverde Luis ,   Facultad de Ingeniería y Negocios, Universidad Norbert Wiener, Lima, Perú., Ingrid Mendivel Landeo ,   Vicerrectorado de Investigación, Universidad Nacional de Ingeniería, Lima, Perú.
Published: December 2019

In the company it was identified that the level of maturity in relation to the implementation of the systems is inconclusive, there is little confidence, low level of efficiency, and the times exceed what is stipulated. The objective was to demonstrate that the expert system significantly improves the average time, reliability levels, and efficiency in evaluations of maturity levels in the management of IT services of the Sions Company. Likewise, the CommonKADS methodology was used to build the knowledge of the expert system and SCRUM for the active monitoring of the project. Regarding the methodology of scientific research, it was based on the quantitative approach, pre-experimental design; the study population was made up of 16 evaluations of technology companies in Peru. The results showed that the expert system improved the average time in the evaluation of maturity levels by 85%, compared to the traditional system. In this way, the levels of reliability and efficiency improved by approximately 49% compared to the traditional system. In this way, the levels of reliability and efficiency improve in 49% the capacity of response, the quality of the service and the functional availability in the evaluations of the technological management. Therefore, the processes of the service management phases such as design, strategy, transition, operation and continuous improvement benefit by reducing time, costs and increasing its functionality for companies that have technological services as part of the business strategy. Therefore, the expert system would be applied in companies of different areas that have technological services, whose purpose allows to identify the current state of the service and its possible improvement over time.
Investment Activity of the Fuel and Energy Complex of Russia: Organizational and Economic Mechanism
Authors:   Russian State University of Oil and Gas (National Research University) named after I.M. Gubkina, Moscow, Russia, Gorlov* Viktor V. ,   Moscow Institute of Economics, Moscow, Russia., Gorlova Inna S. ,   Russian University of Cooperation, Moscow, Russia, Rogulenko Tatyana M. ,   State University of Management, Moscow, Russia., Soklakova Irina V. ,   Moscow Institute of Economics, Moscow, Russia., Surat Vladimir I. ,   Moscow Institute of Economics, Moscow, Russia., Surat Igor L. ,   Moscow Institute of Economics, Moscow, Russia.
Published: December 2019

The main problems of innovative activity in Russia are considered. An analysis of the current state and prospects of further development is carried out. Ways of increasing the efficiency of the fuel and energy complex are considered. Fundamentally new types of energy are shown.
Laterally Extended Field of View Imaging without Geometric Distortion using Image Stitching in Open-Configuration MRI
Authors:   Department of Radiological Science, Daegu Catholic University, Daegu, Republic of Korea., Hong* Cheolpyo , Han Bong Soo ,   Department of Radiological Science, Yonsei University, Kwangwon-do, Republic of Korea.
Published: December 2019

Open-configuration MRI for easy patient access causes a restricted imaging field of view and geometric distortion resulting in reduced reliability of the quantitation of tissue segmentation. The method proposed in this study is use of MR image stitching, which is merging divided isocentric images without geometric distortion of the same object through the table moving laterally. This study was performed using an open 0.32 T MRI system. MR imaging with lateral shift of the scanner table was conducted using an AAPM MRI Phantom. The composite image produced through the sequential generation of the same object at different table positions has been generated using the image stitching technique. Image stitching consisted of tile configurations using optimized global registration and then seamlessly blending the aligned tiles. The overall image stitching procedure reduced the geometric distortion of image at off-center regions, and the FOV in the stitched image was extended 40% laterally relative to conventional isocenter image. The maximum distortion value was about 16.8 mm in the conventional image and was reduced to < 1.7 mm after the seamless image stitching procedure. Laterally extended FOV without geometric distortion was successfully acquired using seamless image stitching procedure. These methods are beneficial towards defining tissue segmentation in obese patient with large field of view in open MRI.
Economic and Mathematical Model for Size and Structure Optimisation of Predator and Prey Populations
Authors:   Russian State Agrarian University named after K.A. Timiryazev, Moscow, Russia., Kaledin* A.P. , Yuldashbaev Yu.A. ,   Russian State Agrarian University named after K.A. Timiryazev, Moscow, Russia., Kubatbekov T.S. ,   Russian State Agrarian University named after K.A. Timiryazev, Moscow, Russia., Filatov A.I. ,   Russian State Agrarian University named after K.A. Timiryazev, Moscow, Russia., Ostapchuk A.M. ,   Russian State Agrarian University named after K.A. Timiryazev, Moscow, Russia., Makeeva V.M. ,   Moscow State University named after M.V. Lomonosov, Moscow, Russia., Stepanova M.V. ,   Yaroslavl State Agricultural Academy, Yaroslavl, Russia., Shergaziev U.A. ,   Kyrgyz national agrarian university named after k. I. Skryabin
Published: December 2019

The paper proposes an original economic and mathematical model for size and structure optimisation of Predator and Prey populations. The most well-known mathematical model in biology for periodical dynamics of antagonistic animal species was developed independently by Alfred Lotka and Vito Volterra. This classical mathematical Predator-Prey model is known as the Lotka-Volterra model.
Evolving a New Revolutionary Learning Environment Based on Blockchain Technology
Authors:   Assistant Professor, Dept. of Management Studies, Kongu Engineering College, Perundurai 638060, Erode Dt., Tamil Nadu, India., Mohanasundari* Dr. M. , Vidhyapriya Dr. P. ,   Assoate Professor, Dept. of Management Studies, Kongu Engineering College, Perundurai 638060, Erode Dt., Tamil Nadu, India., Sundaresalingam Dr. P. ,   Assistant Professor, Dept. of Management Studies, Kongu Engineering College, Perundurai 638060, Erode Dt., Tamil Nadu, India., Mughil Ms. R. ,   (Reg. No. 18MBR056), Second year MBA, Kongu Engineering College, Perundurai 638060, Erode Dt., Tamil Nadu, India.
Published: December 2019

Education environment is made out of numerous partners, both from open and private areas, for example, administrative sheets, government, and entrance advisory boards, testing organizations, authorizing, teachers and understudies who comprise the foundations. Instruction, the way toward encouraging learning, the procurement of information, ability, qualities, convictions, and practices which is empowered by the Blockchain innovation has picked up the consideration of specialists everywhere. Blockchain innovation has been applied chiefly in the banking, retail, enactment, exchange and business, flagging the fourth modern upset. Square chain is the rising innovation which pulled in each field of work and having a developing stage because of the highlights of decentralization, detectability, changelessness, and money properties. Like other segment, the blockchain innovation has additionally begun to step into the instruction field and had made prominent imprints, which will fill in as a grapple for what's to come. This examination follows the impressions of the blockchain in the instruction innovation and furthermore researches the headways in the training possibilities that would be advantageous. The orderly audit falls fundamentally under the clear cut clarification dependent on the different utilizations of the square chain in training, the positive and negative effects following the reception of blockchain innovation in instruction framework and the eventual fate of learning driven by the square chain innovation. This investigation examines in detail the ramifications of the blockchain dependent on the discoveries. The audit displays the present condition of information and framework concerning the blockchain based application in instruction framework.
Internet Banking Adaptation in Different Age Ranges
Authors:   Faculty of Informatics and Computing, UniSZA, Terengganu, Malaysia., El-Ebiary* Yousef A. , Mjlae Salameh A. ,   Prince Abdullah bin Ghazi faculty of IT, Al-Balqa Applied University Al-Salt, Jordan., Ghazal Shatha F. ,   Prince Abdullah bin Ghazi faculty of IT, Al-Balqa Applied University Al-Salt, Jordan.
Published: December 2019

The Internet application has dramatically expanded since the past decade, and such expansion has equally led to the increased risk in the Internet usage, especially in the domain of internet banking. The confidence level among different segments of e-banking users or customers is examined in this study, and the difference in outcomes are explained. Questionnaires were distributed to 315 respondents to obtain data. The obtained results show that different segments of users or customers show different levels of trust towards internet banking usage at Cairo Bank in Egypt. Additionally, different segments of users show different levels of perceived lack of information. Furthermore, the most notable segmentation can be split into three groups as follows: users or customers aged between 18-30, those aged above 60, and the rest. This study is of value to the security and marketing of internet banking services.
HIF Detection and Classification in Distribution Systems using Wavelet Transforms
Authors:   Department of Electrical & Electronics Engineering, Prasad V. Potluri Siddhartha Institute of Technology, Vijayawada, A.P., India., Naik*. B. Baddu , Sai M. Hemanth ,   Department of Electrical & Electronics Engineering, Prasad V. Potluri Siddhartha Institute of Technology, Vijayawada, A.P., India., Babu B. Bala Sai ,   Department of Electrical & Electronics Engineering, Prasad V. Potluri Siddhartha Institute of Technology, Vijayawada, A.P., India.
Published: December 2019

High Impedance Faults (HIF) are generally occurs on distribution line. HIFs are, by and large, hard to recognize through traditional assurance, for example, distance or over current relays. This is primarily because of hand-off inhumanity toward the low level fault currents as well as constraints on other hand-off settings forced by HIFs. Regular assurance hand-off framework won't have the option to distinguish the HIFs and excursion the security transfer. HIFs on electrical transmission and dissemination systems include arcing as well as nonlinear attributes of flaw impedance which cause repeating example and contortion. Subsequently, the goal of most discovery plans is to recognize extraordinary highlights in examples of the voltages and current related with HIFs. Most traditional flaw discovery strategies for HIF for the most part include preparing data dependent on the component extraction of post HIF current and voltage. Wavelet transform is most appropriate for HIF location and for fault classification. This paper depicts another shortcoming location procedure which includes catching the present sign created in a framework under HIFs. The identification procedure depends on ascertaining the total entirety of the wavelet transform detail coefficients for one period. Wavelet transform is utilized for the disintegration of sign and highlight extraction.
Role of Knowledge, Attitude, on the Adoption of Improved Pearl Millet by Farmers in North-east, Nigeria
Authors:   student in the field of Agricultural Extension, Department of Agriculture Technology, Universiti Putra, Malaysia, Galadima* Mohammed , Hassan Dr Salim ,   currently a Senior Lecturer in the Department of Agriculture Technology, Agriculture, University Putra, Selangor, Malaysia., Man Assoc. Prof. Norsida ,   currently the Head of Department Agriculture Technology, Faculty of Agriculture, Universiti Putra, Malaysia., Abdul Abu Professor Ibrahim ,   currently a Professor in the field of Agricultural Extension, in the Department of Agricultural Extension Services, Faculty of Agriculture, University of Maiduguri, Borno State, Nigeria.
Published: December 2019

In Developing Countries Like Nigeria, An Effective Progression On Appropriate Improved Technologies Is Associated With Its Acceptance Among Farmers. This Study Investigated The Role Of Knowledge, Attitude, With Its Relationship And Influence Towards Adoption Of The Improved Pearl Millet By Farmers In North-East Nigeria. Purposive And Systematic Sampling Technique Was Used In Selecting 477 Pearl Millet Farmers In North-Eastern Nigeria. Respondents Information Were Collected Through Self-Report Questionnaire. Descriptive, Correlation And Regression Analysis Was Used To Analyzed The Data. Findings Revealead That, Respondents Level Of Knowledge Indicates High Level. While, Attitude Recorded Moderate Level. Also, Findings On The Adoption Level Among Respondents Recorded High Level. Furthermore The Outcome On The Relationship Between Knowledge, Attitude Towards Adoption Revealed Positive Relationship At (P<0.01). Also, From The Results Of The Regression Analysis, It Revealed That Knowledge (Β=.283) Contributed Most Towards Adoption. While, Attitude Did Not Contribute Towards Adoption. Hence, The Adj. R2 Of 0.366 Indicates That Knowledge Had Significantly Contributed With 36.6 % Of The Variance Towards Adoption. Thus, The Study Suggest That, Pearl Millet Growers Should Be Encouraged Towards Developing Positive Attitude Towards Improved Pearl Millet Technologies. More So, Stakeholders In Collaboration With Change Agents Are Required To Strictly Focus On Programmes, With The Emphasis Towards Developing Farmers Attitude, Which Could Influence Adoption Of The Improved Pearl Millet And Other Relevant Areas Of Improvement In North-East, And Other Pearl Millet Producing Regions In Nigeria.
Distance and Similarity Measures Including New Hesitant Degree on Hesitant Fuzzy Set
Authors:   Department of Mathematics, National Institute of Technology Silchar, Silchar, India., Singha* Biplab , Sen Mausumi ,   Department of Mathematics, National Institute of Technology Silchar, Silchar, India., Sinha Nidul ,   Department of Electrical Engineering, National Institute of Technology Silchar, Silchar, India.
Published: December 2019

Hesitant degree plays an important role for finding the distance and similarity measures between two objects. Many researchers have developed many distance and similarity measures so far but in real life some situations arises where these measures fail to achieve the satisfactory result. In this paper, a new hesitant degree is introduced in the distance and similarity measures so that the limitations which are found can be easily handled with a satisfactory outcome. Finally, the validity of the proposed distance measure is illustrated with a suitable example..
Green Synthesis of Silver Nanoparticles from Rhynchostylisretusa (L.) Blumeleaf extract under Sunlight
Authors:   pursuing her P.hD in chemistry from Assam down town University, Guwahati., Sarma* Jahnabi , Done Dr. A M Duttahas ,   Head of the Department, Chemistry, Assam down town University.
Published: December 2019

A new green methods for the synthesis and stabilization of silver nanoparticles (AgNPs) using water extract of Rhynchostylisretusa(L.) Blume leaf with the help of Sun light as a source of energy has been developed. As obtained, the nanoparticles are characterized by FTIR, UV-visible (UV-Vis), X-ray diffraction (XRD) and SEM-EDX analysis.Thus, crystalline nature of AgNPs is confirmedby the prominent peaks in the XRD pattern.Distinct diffraction peaks in XRD spectrum is noticed at around 38Ο, which are indexed by the (100) of the cubic face centered silver. FTIR spectrasuggest that the possible biomolecules are responsible for the efficient stabilization of the sample.The band between 3490-3500 cm-1corresponds to O-H stretching,H-bonded alcohols and phenols. The peak found at around 1450-1500 cm-1 showed the bond stretch for N-H. The prepared nanoparticles had different antibacterial activity on both gram positive and gram negative bacteria.
Use of ICT in Pedagogical Practices with Special Reference to Sibsagar District of Assam
Authors:   Assistant Professor in the Department of Education, Nazira College, Nazira Under Dibrugarh University., Boruah* Pallab Jyoti
Published: December 2019

The potential of use of ICT in higher education is an emerging issue. It is envisaged that the use of ICT in pedagogical practices can enhance the quality of education through advanced teaching and improved learning outcomes. The objectives of this study are to examine the differences, if any, in the use of ICT in respect of gender, geographical location and stream of education. The researcher selected 80 full time faculty members were randomly selected from 5 higher educational institute of Sibsagar district of Assam. The instruments for data collection were four points Likert scale questionnaire developed by authors and interview methods. The analysis of data has shown that most of the teachers took their classes by using ICT. There was no significance difference between rural and urban colleges in the use of ICT but gender based differences were found. It was seen that theres a slight difference in the use of ICT as per stream of education.
M/M/1 Queue with N-Policy Two-Phase,Server Start-Up, Time-Out and Breakdowns
Authors:   Research scholar, Department of Statistics, Acharya Nagarjuna University, Guntur, AP, India, Rao* A.Ankamma , Devi V.N.Rama ,   Associate Professor, Department of Mathematics, GRIET, Hyderabad, Telangana, India, Chandan K. ,   Professor, Department of Statistics, Acharya Nagarjuna University, Guntur, AP, India,
Published: December 2019

This paper analyzes M/M/1 vacation two-phase queueing model with server Start-up, Time-out and Breakdowns. Customers arrivals are assumed as Poisson process and be given batch mode in the first phase followed by individual models second phase. Arrivals during batch service are allowed to enter the batch without Gating. After providing the second phase of service to all customers individually, server returns to first phase to serve the existing customers followed by individual service. If no one presents, then server waits for a fixed time ‘C’ is called server Time-out. If units arrived during this fixed time, then the server starts the cycle again by providing them batch service followed by individual service, otherwise after expiration of fixed time he takes a vacation. The server comes back from vacation, after N-customers are accumulated. The server passes a random period as pre-service procedure after coming back from vacation. During individual service the server is susceptible to random failures. Various performance measures are evaluated in steady state. Cost function is established to define the threshold and sensitivity analysis is also presented through numerical examples.
Pore Pressure Prediction using Well-Logging Data in the West Baram Delta, Offshore Sarawak Basin, Malaysia
Authors:   Department Of Geoscience, Universiti Teknologi Petronas, Seri Iskandar, Malaysia, Asfha* Dejen Teklu , Gebretsadik Haylay Tsegab ,   Department Of Geoscience, Southeast Asia Carbonate Research Laboratory, Universiti Teknologi Petronas, Seri Iskandar, Malaysia., Wan Yusoff Wan Ismail ,   Department Of Geoscience, Center For Subsurface Seismic Imaging, Universiti Teknologi Petronas, Seri Iskandar, Malaysia.
Published: December 2019

Well-predicted pore pressure is vital throughout the lifetime of an oil and gas field starting from exploration to the production stage. Here, we studied a mature field where enhanced oil recovery is of high interest and pore pressure data is crucial. Moreover, the top of the overpressure zone in west Baram Delta starts at different depths. Hence, valid pore pressure prediction prior to drilling is a prerequisite for reducing drilling risks, increasing efficient reservoir modeling and optimizing costs. Petrophysical logs such as gamma-ray, density logs, and sonic transit time were used for pore pressure prediction in the studied field. Density logs were used to predict the overburden pressure, whereas sonic transit time, and gamma-ray logs were utilized to develop observed shale compaction trend line (OSCTL) and to establish a normal compaction trend line (NCTL). Pore pressure was predicted from a locally observed shale compaction trend line of 6 wells using Eaton’s and Miller's methods. The predicted pore pressure using Eaton’s DT method with Eaton’s exponent 3 showed a better matching with the measured pressure acquired from the repeat formation test (RFT). Hence, Eaton’s DT method with Eaton exponent 3 could be applied to predict pore pressure for drilling sites in the study area and vicinity fields with similar geological settings.
Post Stabilization Performance of Lime Stabilized Soil Admixed with Press Mud
Authors:   Assistant Professor in the Department of civil Engineering at Aarupadai Veedu Institute of Technology, Vinayaka mission research foundation, India, D* Parthiban , Juluru Srija ,   Assistant Professor in the Department of civil Engineering at Aarupadai Veedu Institute of Technology, Vinayaka mission research foundation, India, Kumar R Sanjay ,   Assistant Professor in the Department of civil Engineering at Aarupadai Veedu Institute of Technology, Vinayaka mission research foundation, India, Shahad TR Bava ,   UG student in the Department of civil Engineering at Aarupadai Veedu Institute of Technology, Vinayaka mission research foundation, India, Premachandran Unnimaya K ,   UG student in the Department of civil Engineering at Aarupadai Veedu Institute of Technology, Vinayaka mission research foundation, India
Published: December 2019

In this study the investigational results obtained in the laboratory on expansive soils treated with low-cost materials i.e, lime and press mud are used. It is conducted to check the signs of progress in the properties of expansive soil with Press Mud and lime in varying percentages. The test results such as the Unconfined compression test, liquid limit, plastic limit, shrinkage limit, hydrometer analysis and pH obtained on expansive clays mixed with different proportions of lime and press mud are presented and discussed in this work. From the demonstrated result the addition of Press mud with lime in soil stabilization improves the Unconfined Compressive strength of the soil when compared to lime stabilization alone. The index properties of the soil have also been marginally improved due to the addition of Press mud as an admixture.
9203 Published By: Blue Eyes Intelligence Engineering & Sciences Publication Retrieval Number: D9113118419/2019©BEIESP DOI:10.35940/ijrte.D9113.118419 Journal Website: www.ijrte.org Novel Preventive Detection Technique for Black-Hole Malware Attack in Wireless Mobile Ad-Hoc Network (WMANET)
Authors:   Assistant Professor in Centre for Advanced Studies Lucknow, India., Kumar* Dr. Arun , Kumar Abhishek ,   Assistant professor atAdwita Mission Institute of Technology (AMIT), Shivdham (Bihar) India., Johri Dr. Prashant ,   Professor in School of Computing Science & Engineering, Galgotias University, Greater Noida, India.., Prakash Dr. Shiv ,   M.Tech. and Ph.D. School of Computer and Systems Sciences, Jawaharlal Nehru University, New Delhi, India., Kumar Tarun ,   Assistant Professor in School of Computing Science & Engineering, Galgotias University, Greater Noida, India.
Published: December 2019

A wireless mobile ad-hoc network (WMANET) is endless self-organizing, infrastructure-less collection of movable devices which are connected by using a wireless communication system. In other word’s WMANET is an autonomous, decentralized, dynamic topology, provisional network system having wireless movable devices (nodes) moving randomly without an infrastructure of the network. Furthermore, the nodes communicate with every supplementary node, through forwarding data-packets toward other nodes in the WMANET. The node finds a path to the destination node by applying routing techniques. Due to the dynamic topology of movable nodes wireless mobile network is more vulnerable to security and unprotected to attacks by the malicious node. One of the attacks is Blackhole malware Attack, a malicious-node wrongly advertises shortest to the destination node among an intention of disrupting the network communication. Because the data packets did not arrive at the destination node due to this attack data is lost. In the literature, researchers have been proposed various preventive detection techniques. These techniques used to detect and prevent the black-hole malware attacks. Furthermore, in this paper Novel Detection and Prevention mechanism (INCMAODV) has been simulated the black-hole attack in WMANET scenario. The proposed technique tried to find quality of service (QoS) parameters for instance throughput (Th), packet delivery ratio (PDR) and delay of the network and compared with the state of the art.
Advanced Connection Manager for Interworking between 3GPP and Non-3GPP Networks
Authors:   Research Scholar, Suresh Gyan Vihar University, Jaipur, India., Gautam* Sumit , Purohit Dr. Rajesh ,   Principal, School of Engineering & Technology, Suresh Gyan Vihar University, Jaipur, India., Sharma Dr. Durga Prasad ,   Dean (Research), Maharishi Arvind Institute of Science & Management, Jaipur, India.
Published: December 2019

Smart phones and handheld devices equip with multiple radio access technologies capabilities e.g. cellular and Wi-Fi now a days. It is observed that seamless session and service continuity is a difficult task while device is roaming across different radio access technologies. Connection Manager, ANDSF and Traffic Steering Algorithms are mainly used to address such switching requirements. Radio access selection decision is usually based upon various parameters like network capabilities, availability, quality, subscription and policies. This research compares network quality of all available networks for the duration and then connection manager’s decision support system ranks all suitable networks to select most appropriate access network. This paper investigates about new input parameters to be included in connection manager’s enhanced decision support system for the smarter decision of access network selection.
High-Quality MRI and PET/SPECT Image Fusion Based on Local Laplacian Pyramid (LLP) and Adaptive Cloud Model (ACM) for Medical Diagnostic Applications
Authors:   Faculty, Department of ECE, Narayanaguru College of Engineering, TamilNadu, India., Benjamin* J.Reena , Jayasree Dr.T. ,   Faculty, Department of ECE, Government College of Engineering, Tirunelveli, TamilNadu, India., Vijayan S.Anjana ,   Student, M.E Applied Electronics, Narayanaguru College of Engineering, TamilNadu, India.
Published: December 2019

Image fusion plays a major role in biomedical applications such as tumor detection, medical diagnostics, disease identification, etc. Generally, medical imaging modalities such as Positron Emission Tomography (PET)/Single Photon Emission Computed Tomography (SPECT) and Magnetic Resonance Images (MRI) are used to perform the fusion process for post-surgery analysis. MRI images generally have a single channel i.e. gray information about the skull.MRI images give anatomical data of soft tissues whereas PET/SPECT images give functional images of tissues. Therefore, combining MRI and PET/SPECT images give both structural as well as functional information. In this paper, a new approach for PET/SPECT and MRI image fusion using the Adaptive Cloud Model (ACM) based Local Laplacian Pyramid (LLP) is proposed to obtain the high quality fused output. To increase the sensitivity of the fusion, the RGB image is converted into Hue Intensity Saturation (HIS) color transform. LLP is applied to the gray level component of the MRI image and Intensity component of PET/SPECT images respectively. The Adaptive Cloud Model is used to perform the fusion of LLP coefficients. The inverse of LLP and HIS transform is applied to get the fused image in color domain. Performance evaluation shows that the proposed method gives better performance when compared to conventional techniques.
Robust and Accurate Automated Methods for Detection and Segmentation of Brain Tumor in MRI
Authors:   Associate Professor, B.V. Raju Institute of Technology, Narsapur, Medak, Telangana State, India., Bhima* K , Jagan Dr. A. ,   Professor and Dean (PG Studies) in the Department of Computer Science and Engineering, B.V. Raju Institute of Technology, Narsapur, Medak Dist, Telangana State, India.
Published: December 2019

In this proposed study, a novel Multimodal brain MR image segmentation method is presented to overcome the unattractive and undesirable over segmentation characteristics of conventional Watershed method. The proposed work, presents Optimal Region Amalgamation Technique (RAT) that merge the Watershed method (spatial domain) and Fuzzy C-means clustering (feature spaces) to reduce the unattractive and undesirable over segmentation in brain MR images. In the proposed work, to improve the quality of segmentation results of Watershed method, initially it construct a RAG(Region Merging Graph) for optimal RAT by applying the most popular MRF(Markov Random Field) method . Consequently, the inter-region comparison is presented by applying the watershed method in Spatial Domain and Fuzzy C-Means clustering method in Feature Space for image mapping to compute the Optimal Region Amalgamation. Further, to determine the Feature space and domain space illustration of the brain MR image segmentation, the SGD (Spatial Graph Depiction) is presented that is computed with FSD (Feature Space Depiction) which is obtained by watershed partitioning and FCM clustering method. The experimental results on multimodal brain MR image datasets presents that the proposed novel Optimal Region Amalgamation Technique (RAT) exhibits more promising MR images segmentation results with compared to the traditional watershed method. Finally, an assessment and evaluation of the state-of-the-art brain tumor segmentation methods are presented and future directions to improve and standardize the detection and segmentation of brain tumor into daily clinical treatment are addressed.
Performance of Polymer Concrete Seeded with Steel Fibres and Stone Powder
Authors:   Ph.D scholar, civil engineering, JNTUA Ananthapuramu, Andhra Pradesh, India., Babu* S. Vinay , Ramana Dr. N. Venkata ,   Associate Professor, department of studies in civil engineering, VTU PG centre, Kalaburagi, Karnataka, India.
Published: December 2019

This paper presents the fiber effect in the polymer concrete. The concrete is prepared with 10% Bethemcharla stone powder as replacement to cement and 10% of Bisphenol-A polymer to the concrete mixes. The fibers were incorporated to the concrete in the proportion of 0,1 and 2% by volume of specimen. The study mainly focused to evaluate compressive, split, shear and flexural strengths of concrete. Tests conducted on cube, cylinder and beam specimens and from the results it is found that, the fiber seeding to mixes enhances the strength properties. In addition to the mixes, plan cement concrete mix without stone powder and polymer is prepared and tested for the same strengths, this mix is considered as reference mix for comparison purpose. For present experimental work few mathematical models are established to assess strengths in association of cube compressive strength.
Mechanical Properties of Fly Ash Based Concrete Aided With Recycled Aggregates and Manufactured Sand
Authors:   Assistant Professor, Department of Civil Engineering, S R Engineering College, Ananthsagar,Warangal,(TS) India., Prasanna* E.Laxmi , Tipraj B. ,   Assistant Professor, Department of Civil Engineering, S R Engineering College, Ananthsagar,Warangal,(TS) India, Haripriya Sandela ,   Assistant Professor, Department of Civil Engineering S R Engineering College, Ananthsagar,Warangal,(TS) India, Khan MdIkramullah ,   Assistant Professor, Department of Civil EngineeringS R Engineering, College, Ananthsagar,Warangal,(TS) India, Gobinath R ,   Professor, Department of Civil Engineering, S R Engineering College, Ananthsagar,Warangal,(TS) India
Published: December 2019

Enhancement of concrete strength to shoot the need, demand and to make sustainable is being studied by bountiful researchers across the globe. Utilization of industrial waste and construction waste is an area being explored in the recent days properties of construction demolition waste is unique in nature and result of one research will not maintain with other due to heterogeneous nature of demolition waste. In this work a special type of demolition waste is obtained from building is utilized in concrete in tandem with fly ash instead of sand cost effective and sustainable mixed sand is used in this study in varying proportions. Four different mixes (M1 M2 M3 M4) is prepared using standard sampling procedures and tested for strength and durability. It is found that M2 shows considerable strength in with increasing curing period and it can be selected as optimum mixture. Graded mixed sand used in this study shows considerable increase in strength in coordination with recycled coarse aggregates.