bluuebunny/crossref_metadata_2025 huggingface dataset:
Caracterización estructural y funcional de una metaloproteasa del veneno de Bothrops roedingeri por aproximación proteómica
Authors: Campos Gonzales Juan Carlos , Arenas Menéndez Luis Ángel , Barreda del Carpio Jaime , Paz Aliaga Iván
Published: October 2019

Las especies pertenecientes al género Bothrops son muy importantes en el campo de la investigación por poseer enzimas proteolíticas, la cual tiene como características principales tener una variada acción biológica y contribuir con desórdenes en coagulación, necrosis y formación de hemorragias por ende se necesita una plataforma moderna en el estudio de estas enzimas para así poder sugerir un modelo metodológico actualizado en el estudio de todas las proteínas expresadas por un sistema biológico que nos permita conocer el estado actual de la especie, así como utilizar esta información en la construcción biotecnológica de informaciones con posibles fines terapéuticos futuros. El primer objetivo trazado es purificar y caracterizar una de las enzimas proteolíticas presentes en el veneno como es la metaloproteasa para lo cual se trabajó inicialmente mediante cromatografía de Interacción Hidrofóbica con columnas del sistema HITrap en la cual nos dio como resultado la presencia de 6 picos, siendo el pico 2 aquel que mostró actividad hemorrágica siendo denominada HFBr, con esta fracción obtenida se realizó una electroforesis SDS PAGE en condición reductora con uso de DTT que evidenció una masa molecular de 23 kDa y en condición no reductora una masa de ~27 kDa. , para la determinación de la masa intacta del veneno recurrimos al método de Espectrometría de Masas obteniendo nuestros resultados crudos e intactos por Electrospray (ESI) dando un resultado de 27342.6641 Da. Se realizó una caracterización de la estructura primaria de “novo” por hidrolisis tríptica (MALDI/TOF) obteniendo 6 secuencias de aminoácidos para posteriormente realizar un análisis Bioinformático a través de la Base de datos SWISS-PROT para luego realizar un análisis de homología secuencial con uso del Software DNAStar especificando que la proteína estudiada es una Metaloproteasa de la familia de las Hemorraginas. Finalmente se hizo pruebas para su caracterización biológica para determinar la actividad hemorrágica con un método de inoculación intradérmica en ratones obteniendo los valores de hemorragia inducida de Bothrops roedingeri correspondiendo a 9.5 mm ± 0.15 mm para el veneno total y de 8 ± 0.12 mm para la fracción HFBr, respectivamente.
Fiorucci, F. & Rodríguez, L. G. (Comp.) (2018). Intelectuales de la educación y el Estado: maestros, médicos y arquitectos. Bernal: Universidad Nacional de Quilmes (269 páginas).
Authors: D’Ascanio Gabriela
Published: October 2019

Este libro compilado por Flavia Fiorucci y Laura Rodríguez se compone de una selección de trabajos que fueron presentados en las Jornadas “Intelectuales de la educación y el Estado”, llevadas a cabo a fines del año 2015, en la sede del Centro de Historia Intelectual de la Universidad de Quilmes. Los capítulos tienen como denominador común el abordaje del pensamiento y la trayectoria de “actores” que ejercieron su actividad profesional en instituciones estatales siendo, al mismo tiempo, expertos e intelectuales. Se abocan al estudio de personalidades que, distantes geográfica y temporalmente, ejercieron el magisterio, la medicina y la arquitectura, habiéndose pronunciado con respecto al campo educativo desde esos diversos campos del saber.
Cultura material e historia de la experiencia
Authors: Escolano Benito Agustín
Published: October 2019

Este trabajo trata de plantear, desde una orientación fenomenológica y hermenéutica de la historia de la educación, una construcción empírica de la cultura de la escuela a partir del estudio de las prácticas formativas y de los materiales o sus representaciones en que se ha objetivado el acervo de fuentes del pasado. Propone poner en valor las cosas que han sido creadas por los docentes como soportes de sus acciones, esto es, como materialidades adheridas a su tékhne profesional y como patrimonio histórico de su tradición artesanal. Los objetos servirían al historiador como sintetizadores que comportan huellas a interpretar en una semiosis hermenéutica de la cultura pragmática de la educación. Ello comporta su revalorización como patrimonio común de todos los sujetos escolarizados y como bien por tanto para la reconstrucción de la memoria de la ciudadanía ilustrada en una sociedad democrática.
Formación para la ciudadanía y la convivencia en clases de lengua y literatura
Authors: Mastache Anahí
Published: October 2019

Este artículo presenta resultados parciales de la investigación a mi cargo, la cual se inscribe en la lógica comprensivo-hermenéutica propia de los estudios etnográficos. Si bien la formación para la ciudadanía y para la convivencia es objeto de múltiples abordajes, raramente es estudiada desde una perspectiva didáctica. En esta oportunidad, comparto el análisis de las estrategias usadas por una docente de Lengua y Literatura de una escuela secundaria para desnaturalizar situaciones de discriminación con vistas a desarrollar personas respetuosas de las múltiples diferencias identitarias. Las clases en análisis interrelacionan la enseñanza disciplinar de la lengua y la literatura con la promoción de valores de respeto, visibilización y aceptación de las distintas personas que componen la sociedad, contribuyendo a la formación para la ciudadanía y la convivencia. En este sentido, la propuesta didáctica evidencia potencialidades para la producción de subjetividades y de formas no hegemónicas de “hacer escuela”.
Escuela primaria con violencia desde la tríada: el uno-el otro y las cosas
Authors: Mora-Rosales José , Romero-Pérez Yrida
Published: October 2019

The research revolves around the purpose of understanding from the triad one-on-one and things the realities present in a Venezuelan elementary school immersed in communities with different levels of violence. The method of hermeneutic phenomenology was used, with targeted interviews and content analysis, emerging categories and triangulating information.  The findings from the Other are: cultural violence, intolerance and recognition of diversity, from Things: Values and Role of teacher and family and from the One: Culture and Ancestral Values, Affective Communication. It is concluded that domestic, cultural and school violence are present as they shape the young person into an aggressive and intolerant citizen. Recognition of the role of the family and educator as a promoter of the principles of peace, from a ousía of their actions, are constituted in a challenge of practice of peace, then the position of the social common is framed by a collective violence of the domination of things.
Development and Validation of Modules in Basic Mathematics to Enhance Students’ Mathematics Performance
Authors:   College of Teacher Education, Cagayan State University, Lal-lo, Cagayan, Philippines, Columbano* Mia Q.
Published: October 2019

The study focused on the development and validation of modules in Basic Mathematics. This was initiated as a response to the need to improve students’ performance which would help develop students’ mathematical ability in comprehending the subject. The study determined the difference between the pre-achievement and post-achievement tests of the students holding constant their attitude towards Mathematics and English 11 grade and how some experts evaluated the module according to its qualitative features. Structured in a quasi-experimental design, the study involved 18 first year college students who got a failing mark in Basic Mathematics. Five Mathematics professors validated the modules. The instruments developed in the study were the achievement test, the 20-item questionnaire for the experts and the 20-item attitudinal test. The statistical tools used were the analysis of covariance, t-test for correlated scores, and the KR20. The pre-test mean score of the students was much lower than the posttest mean score. The students manifested favorable attitude towards Mathematics. Correlation analysis showed that English is not related to posttest achievement of students and the posttest achievement score was significantly influenced by their attitude. On the qualitative features of the prepared modules, they were evaluated to be good and acceptable to the Mathematics teachers. The modules are valid and reliable and could supplement on the learning of concepts. The teaching of Basic Mathematics using the modular approach is an effective approach in enhancing the learning of Mathematics.
Measurement of Stress Concentration Factor for Shoulder Fillet on Flat Plate under Axial Tension using Photoelasticity Method and FEA
Authors:   Faculty of Engineering and Technology, Ganpat University, Ganpat Vidyanagar, India., Prajapati* Hiren , Patel Bhavesh ,   Faculty of Engineering and Technology, Ganpat University, Ganpat Vidyanagar, India.
Published: October 2019

Many researchers have made attempt to investigate stress concentration factor (SCF) for different discontinuities under different loading conditions and applications, but still failures of components take place which having discontinuities. Number of applications under which the components or parts working under tensile loading. Here, efforts are made to investigate the SCF of flat plate with shoulder fillet under axial tension loading using the approach of Photoelasticity for different D/d ratios. The Finite Element Analysis (FEA) approach used to validate the results of experimentation and found that the results are reasonably at acceptable level. One can utilize the outcome of this research for similar application having same discontinuity and loading condition.
Voice Emotion Recognition using CNN and Decision Tree
Authors:   Information Science and Engg, JSS science and Technological University, Mysuru, India., Damodar* Navya , Y VANI H ,   Information Science and Engg, JSS science and Technological University, Mysuru, India., M A Anusuya ,   Computer Science and Engg, JSS science and Technological University, Mysuru, India.
Published: October 2019

This paper presents the use of decision tree and CNN as classifier to classify the emotions from the English and Kannada audio data. The performance of CNN and DT are potential for various emotions. Comparative study of the classifiers using various parameters is presented. The performance of CNN has been identified as the best classifier for emotion recognition. Emotions are recognized with 72% and 63% accuracy using CNN and Decision Tree algorithms respectively. MFCC features are extracted from the audio signals and Model is trained, tested and evaluated accordingly by changing the parameters. Speech Emotion Recognition system is useful in psychiatric diagnosis, lie detection, call centre conversations, customer voice review, voice messages.
Efficacy of Glass Fiber Reinforced Concrete by using Supplementary Cementitious Materials
Authors:   Postgraduation Student, Department of Civil Engineering, Institute of Aeronautical Engineering, Dundigal, Hyderabad, Telangana, India., Prathyusha* Pogadadanda , Malagavelli Venu ,   Professor, Department of Civil Engineering, Institute of Aeronautical Engineering, Dundigal, Hyderabad, Telangana, India., Prasad J.S.R. ,   Professor, Department of Civil Engineering, Institute of Aeronautical Engineering, Dundigal, Hyderabad, Telangana, India.
Published: October 2019

Concrete is a building material which is being utilized excessively in the world adjacent to water. The nature is influenced due to the extraction of raw matter and also because of the evolution of gases like CO2. In the ongoing years, there is a speedy growth in the production of waste materials like glass wastes, plastic, Ground Granulated Blast furnace Slag, silica fume, coal ash, wood ash, rice husk ash, etc. Controlling and discarding issues emerge due to these wastes and inflict havoc on the nature. So as to curtail these issues, the waste materials are used as additives or partial substitutions for cement and aggregates in construction field. This paper focuses on strength properties and durability of concrete containing glass fibers by partial substitution of cement and fine aggregate with GGBS and Coal ash respectively. For this work, mix design using IS method is prepared for M30 grade and the tests are conducted for various dosages of glass fibers as 0.5, 1%, 1.5% and 2% by weight of cement. The substitution degree of GGBS is 30% and that of coal ash is 20%. The obtained outcomes are contrasted with conventional concrete.
Tobit Regressive Based Gaussian Independence Bayes Map Reduce Classifier on Data Warehouse for Predictive Analytics
Authors:   Department of Computer Science, Bharathiar University, Coimbatore, India., Sivakkolundu* R. , Kavitha Dr. V. ,   Professor, Department of PG and Research Department of Computer Applications (MCA), Hindusthan College of Arts and Science, Coimbatore, India.
Published: October 2019

Data warehouse comprises of data collected from different probable heterogeneous resources at different time intervals with the objective of responding to user analytic queries. Big data is a field that helps in analysing and extracting information from large datasets. The unfolding Big Data incorporation inflicts multiple confronts, compromising the feasible business research practice. Heterogeneous resources, high dimensionality and massive volumes that confront Big Data prototype may prevent the effectual data and system integration processes. In this work, we plan to develop a Tobit Regressive based Gaussian Independence Bayes Map Reduce Classifier (TR-GIBMRC) method for categorizing the collected and stored data which helps the users in making decision with minimum time consumption. The TR-GIBMRC method consists of two processes. They are, Tobit Regressive Feature Selection and Gaussian Independence Bayes Map Reduce Classification. Tobit Regressive Feature Selection process is used to select relevant features from collected and stored data. Tobit statistical model, used to describe the relationship between non-negative dependent variable and an independent variable for selecting relevant features. Next, Gaussian Independence Bayes Map Reduce Classifier is used to classify the selected relevant features for decision making with lesser time consumption. Gaussian Independence Bayes Map Reduce Classifier, a probabilistic classifier segments the data by class by measuring the mean and variance of data in each class. The data point gets allocated to the class with minimal variance. This in turn helps to perform efficient data classification for accurate decision making. Experimental evaluation is carried out on the factors such as feature selection rate, classification accuracy, classification time and error rate with respect to number of features and number of data points.
An Efficient Optimized Fuzzy Inference System based Intrusion Detection in Cloud Environment
Authors:   Research Scholar, Registration Number: 17223152162007, Department of Computer Science, Manonmaniam Sundaranar University, Tirunelveli, India., Shyla* S.Immaculate , Sujatha Dr.S.S. ,   Department of Computer Applications, S.T.Hindu College, Nagercoil, India
Published: October 2019

Security incidents namely, Denial of service (DoS), scanning, virus, malware code injection, worm and password cracking are becoming common in a cloud environment that affects the company and may produce an economic loss if not detected in time. These problems are handled by presenting an intrusion detection system (IDS) in the cloud. But, the existing cloud IDSs affect from low detection accuracy, high false detection rate and execution time. To tackle these issues, in this paper, gravitational search algorithm based fuzzy Inference system (GSA-FIS) is developed as intrusion detection. In this approach, fuzzy parameters are optimized using GSA. The proposed consist of two modules namely; Possibilistic Fuzzy C-Means (PFCM) algorithm based clustering, training based on GSA-FIS and testing process. Initially, the incoming data are pre-processed and clustered with the help of PFCM. PFCM is detecting the noise of fuzzy c-means clustering (FCM), conquer the coincident cluster problem of Possibilistic Fuzzy C-Means (PCM) and eradicate the row sum constraints of fuzzy Possibilistic c-means clustering (FPCM). After the clustering process, the clustered data are given to the optimized fuzzy Inference system (OFIS). Here, normal and abnormal data are identified by the Fuzzy score, while the training is done by the GSA through optimizing the entire fuzzy system. In this approach, four types of abnormal data are detected namely, probe, Remote to Local (R2L), User to Root (U2R), and DoS. Simulation results show that the performance of the proposed GSA-FIS based IDS outperforms that of the different scheme in terms of precision, recall and F-measure.
CMOS/VLSI Circuit for Power Optimization on Portable Devices
Authors:   Department of ECE, Sri Satya Sai University of Technology and Medical Science, Sehore, Bhopal, Madhya Pradesh, India, Nayak* R.SambaSiva , Ahammed M.D. Javeed ,   Department of ECE, Sri Satya Sai University of Technology and Medical Science, Sehore, Bhopal, Madhya Pradesh, India., Satyanarayana B. ,   Department of ECE, Sri Satya Sai University of Technology and Medical Science, Sehore, Bhopal, Madhya Pradesh, India, Mohammad Nayeemuddin ,   Department of ECE, Sri Satya Sai University of Technology and Medical Science, Sehore, Bhopal, Madhya Pradesh, India
Published: October 2019

In this day and age utilizing convenient gadgets are chiefly being used which turned out to be every day need in our life's in which control utilization is principle situation which requests low power. This should be possible with procedures and principles while planning. To build control utilization through VLSI innovation CMOS (NMOS, PMOS) Transistor circuits are utilized and the sub-micron innovation likewise utilized for the prerequisite of low power gadgets increments altogether. Spillage current and power dispersal in both static and dynamic must be thought about which can bother the gadget execution. This paper presents strategies to lessen the power scattering and different philosophies to expand the speed of gadget. This can be useful in future low power innovation.
Optimization Algorithm in Supply Chain Management
Authors:   Mathematics Division, School of Advanced Sciences, Vellore Institute of Technology. Chennai, Bandekar* Shraddha Ramdas , C* Vijayalakshmi ,   Mathematics Division, School of Advanced Sciences, Vellore Institute of Technology. Chennai
Published: October 2019

Optimization in the field of Operations Research has applications in various industries, be it medicine, business, analytics or education. Likewise Supply Chain Management (SCM) is required in every industry and with the need comes various challenges to get the optimized and best quality solution. There are stochastic, analytical models working on attaining optimization in various sub events involved in SCM. Supply Chain is a network at global level used for delivering of products and services from unprocessed materials to consumers through well-structured and planned flow of information, physical distribution and money. The process of managing this supply chain is Supply Chain Management. A major work on the previous research done using various mathematical models, be it mixed integer linear, nonlinear programming or evolutionary have been depicted in this paper. The aim is to get the best result and comparative approach is focused. This article provides a detailed study on various techniques, algorithms and mathematical models in optimization of SCM and in particular it focuses on Genetic Algorithm (GA) in SCM.
Dualities between Elzaki Transform and Some Useful Integral Transforms
Authors:   Assistant Professor, Department of Mathematics, National P.G. College, Barhalganj, Gorakhpur-273402, U.P., India,, Aggarwal* Sudhanshu , Bhatnagar Kavita ,   Assistant Professor, Department of Mathematics, Noida Institute of Engineering & Technology, Greater Noida-201306, U.P., India, Dua Arti ,   Assistant Professor, Department of Applied Science & Humanities, I.T.S. Engineering College, Greater Noida-201308, U.P., India.
Published: October 2019

Integral transforms have wide applications in the various disciplines of engineering and science to solve the problems of heat transfer, springs, mixing problems, electrical networks, bending of beams, carbon dating problems, Newton’s second law of motion, signal processing, exponential growth and decay problems. In this paper, we will discuss the dualities between Elzaki transform and some useful integral transforms namely Laplace transform, Kamal transform, Aboodh transform, Sumudu transform, Mahgoub (Laplace-Carson) transform, Mohand transform and Sawi transform. To visualize the importance of dualities between Elzaki transform and mention integral transforms, we give tabular presentation of the integral transforms (Laplace transform, Kamal transform, Aboodh transform, Sumudu transform, Mahgoub transform, Mohand transform and Sawi transform) of mostly used basic functions by using mention dualities relations. Results show that the mention integral transforms are strongly related with Elzaki transform.
Fuzzy Translation of INK-ideal of INK-algebras
Authors:   Department of Mathematics, Vellore Institute of Technology University, Vellore, India, Tamilnadu, M Kaviyarasu. , K* Indhira. ,   Department of Mathematics, Vellore Institute of Technology University, Vellore, India, Tamilnadu
Published: October 2019

In this paper, the ideas of fuzzy translation (FT) to F-INK-ideals in INK-algebras are presented. The concept of (FE) fuzzy extensions and (FM) fuzzy multiplications of F-INK-ideals with a few related properties are examined. Additionally, the connections between fuzzy translations, fuzzy extensions (FE) and fuzzy multiplications (FM) of F-INK-ideals are investigated.
Two Stage Flow Shop Scheduling Model Including Transportation Time with Equipotential Machines at Every Stage
Authors:   Professor, Department of Mathematics, M. M. (Deemed to be University), Mullana (Ambala) Haryana, India., Gupta* Deepak , Goel Sonia ,   Research Scholar, Department of Mathematics, M. M. (Deemed to be University), Mullana (Ambala) Haryana, India.
Published: October 2019

This study presents a solution algorithm for the problem of minimizing the makespan on equipotential parallel machines at every stage in two stage flow shop scheduling model. The processing time of all the jobs on all the two machines is given and the time for which parallel equipotential machines are available is also given. Transportation time for moving the jobs from first machine to second machine is also taken into consideration. A mathematical illustration is also given in support of the algorithm proposed.
BER Performance Evaluation of Turbo Coded MIMO System in Nakagami Channel
Authors:   Department of E & TC, PVG's College of Engineering and Technology Research Scholar, Department of E &TC, AISSMS's Institute of Information and Technology, Kennedy Road, Near R.T.O., Pune: 411001, (Maharashtra), India, Belsare* Madhavi H. , Mane Dr. Pradeep B. ,   AISSMS Institute of Information and Technology, Kennedy Road, Near R.T.O., Pune: 411001, (Maharashtra), India.
Published: October 2019

Wireless technologies are aiming to improve data rates along with reliability using Multiple Input and Multiple Output(MIMO) systems. The major performance parameter for advanced systems is Bit Error rate (BER). Researchers are working for minimizing the BER for data communication. This paper presents the BER performance of turbo coded Multiple Input Multiple Output (MIMO) system in Nakagami channel. MIMO system is realized using Space Time Block Codes. System performance is analyzed for M-ary Quadrature Amplitude Modulation (QAM) in Nakagami channel. System is implemented using MATLAB code. 4QAM system performs better as far as BER is concerned. The implemented turbo coded system outperforms the uncoded system in case of BER performance. This system can be used for improved performance of data communication in LTE and WiMax.
Design of Ensemble Classifier Selection Framework Based on Ant Colony Optimization for Sentiment Analysis and Opinion Mining
Authors:   Department of CS & IT, M.J.P. Rohilkhand University, Bareilly, India., Kumar* Sanjeev , Singh Dr. Ravendra ,   Department of CS & IT, M.J.P. Rohilkhand University, Bareilly, India.
Published: October 2019

Ensemble Classifier provides a promising way to improve the accuracy of classification for sentiment analysis and opinion mining. Ensemble classifier should combine with diverse base classifiers. However, establishing a connection between diversity and accuracy of ensemble classifier is tedious task because of sensitivity between diversity and accuracy. In this paper an Ensemble classifier selection (ECS) framework based on Ant Colony Optimization (ACO) algorithm is presented. The framework provides a subset of base classifiers from a given set of classifiers with maximum possible diversity and accuracy to design an ensemble classifier for sentiment analysis and opinion mining. This framework uses diversity measures and accuracy as selection criteria for classifier selection for ensemble creation. The experimental result shows that the ensemble classifiers provided by this framework presents an efficient way for sentiment analysis and opinion mining.
Reverse Engineering on Jet Engine Turbine Disk
Authors:   P.G.Scholar, Dept. of Mechanical Engg., Vidya Jyothi Institute of Technology, Hyderabad, India., Raj* G.Bharath , Reddy Dr.G.Sreeram ,   Dept. of Mechanical Engg., Vidya Jyothi Institute of Technology, Hyderabad, India., Kumar Dr. L.Madan Ananda ,   Dept. of Mechanical Engg., Vidya Jyothi Institute of Technology, Hyderabad, India.
Published: October 2019

Damaged or broken parts are generally too expensive to replace, or no longer available. Re can be defined as ‘systematic evaluation of a product with the purpose of replication. This includes design of a new part, copy of an existing part, recovery of a damaged or broken part, development of model accuracy and inspection of a numerical model. Task is to reproducing the geometries of aero engine physical component in digitizing process through 3D scanning and complete conversion of physical data into CAD model by using modern measuring machines with its integrated software’s (creo 2.0) extractions of information about geometry to develop part models parts which have to be reverse engineered. CMM inspection and reverse engineering software are employed to evaluate any dimension deformations. Deviation in the dimension is taken in to consideration as evaluating characteristics. The error analysis of some features between 3D scan data, CMM, CAD model, and MESH data are performed.Deviation between scan data, CAD model, and CMM are within acceptable limits. And deformation between CAD model and MESH data are within -0.1 to +0.1mm. The CAD model generated is within acceptable criteria (30 microns).
Designing a Model for Optimization of Maintenance and Inspection Efforts against Third Party Damage to Cross Country Pipelines in India
Authors:   University of Petroleum and Energy Studies, Dehradun & Indian Oil Corporation Ltd., Noida (U.P), India., Gupta S. S. , Arya Dr. A K ,   Sr. Asst Professor, University of Petroleum and Energy Studies, Dehradun (Uttarakhand), India., Vijay Dr. P. ,   Associate Professor, University of Petroleum and Energy Studies, Dehradun (Uttarakhand), India.
Published: October 2019

In India there are nearly 45000km of cross- country pipelines in operation, safety and reliability of this network of pipelines play a major role in the energy distribution security of the country. A cross country pipeline can fail due to various reasons primary among these are corrosion and third-party damage. In a populous country like India third party damage has emerged as a newest threat to the pipelines, as on date nearly 40% of all pipeline failures are due to third party damage. Third-party damage to an underground pipeline is generally defined as a category of damage caused to the pipeline due to the activities of an outside (other than the pipeline owner or its authorized representative) agency, for example an agency building road across the pipeline right of way may cause rupture of the pipeline due to uncontrolled use of earthmoving equipment. Most of the third-party damages are caused due to ignorance or negligence, as the third-party damage is caused by human error, it does not have any trend and random in nature. Unfortunately, majority of third-party damage leads to severe and instantaneous failure of the pipeline leading to release of highly inflammable content that can cause widespread destruction of life and property. To minimize the possibility of third party damage to a reasonably low rate, it is necessary that maintenance and inspection (M&I) practices are properly oriented, this is possible only when the weight of the factors responsible for third party damage is known and M&I programme is designed accordingly. This paper proposes a model for calculating weight of various factors responsible for third party damage and how the model can optimize M&I efforts as well as build best possible defense against third party damage for an underground high-pressure cross-county hydrocarbon pipeline.
Inform Me- Family Location Tracker App
Authors:   Department of Computer Science and Engineering, MLR Institute of Technology, Dundigal, Hyderabad, India., Rao.A* Venkata Siva , Samuel John ,   Department of Computer Science and Engineering, MLR Institute of Technology, Dundigal, Hyderabad, India., Priya Divya ,   Department of Computer Science and Engineering, MLR Institute of Technology, Dundigal, Hyderabad, India., Sree B Kavya ,   Department of Computer Science and Engineering, MLR Institute of Technology, Dundigal, Hyderabad, India
Published: October 2019

Inform Me is an android mobile application which is designed to track the location of family members or anyone in general in real-time, without worrying about their whereabouts in amidst their busy life. Also, you can know their battery status provided they have agreed to share location with you, and have installed inform me application on their phone. People can save daily routine places in the app like college, workplace, school, etc. In this application, the family members get notifications whenever someone in the family has entered or left the saved location. Messaging tool in this app allows you to chat with the family members whenever you are at a new place irrespective of the places you saved in the application. There is also a panic button that will send a message to all the family members in case of emergency.
Object Detection in Fog Environment
Authors:   Department of Computer Science and Engineering, MLR Institute of Technology, Dundigal, Hyderabad, India, Reddy* P. Amarendra , Sowmya G. ,   Department of Computer Science and Engineering, MLR Institute of Technology, Dundigal, Hyderabad, India, Spandana S. ,   Department of Computer Science and Engineering, MLR Institute of Technology, Dundigal, Hyderabad, India, Durga Ms.V.Sri ,   Department of Computer Science and Engineering, MLR Institute of Technology, Dundigal, Hyderabad, India
Published: October 2019

On the increasing count of accidents in fog, we came up with an idea of reducing them with the use of IOT. Our project is designed in such a way that the driver can be notified through voice assistance regarding any objects if present ahead of the car. In addition, in case the driver is met with an accident the system will send a message to the emergency contact regarding the location of the driver. To implement this we have used ultrasonic sensor to detect the object and the distance between them so that the driver can be notified. We used vibration sensor o detect accidents and Bluetooth to provide voice assistance through app. We also used an LCD screen to display the result for convenience.
Impact of Investors Saving Motive, Importance and Behaviour on Underlying Investment Value
Authors:   Research Scholar, Department of Business Administration, Government Arts College, iruchy – 620 022, Tamilnadu., RENUKA* Mrs. M. , NARSIS Dr.I. ,   Assistant Professor & Research Advisor PG & Research Department of Commerce, Government Arts College, Tiruchy – 620 022, Tamilnadu.
Published: October 2019

Background of the Study: The investors choose their investment avenues based on the expected return of that. More than that many unrevealed criteria were act at the rear on every individual investment value. This article explore investors saving motive, saving behaviour and their importance of saving which were collectively determined the investors investment value. Methodology: This is an exploratory study to know the impact of Saving behaviour, saving motive and importance on underlying investment value. This article purposively identified the salaried class people as a sample respondent of the study. Therefore, the researcher has adapted a non-probabilistic sampling method of Purposive sample. The sample size were 370 salaried class employees residing at urban area of Tiruchirapplli District. Research Instrument:. The questionnaire has comprised two sections. The first section includes personal and demographic factors and Core area of study was included in the second section of the questionnaire. Results and discussion: There is no direct causal effect of importance of saving on investment expected value and investors saving behaviour. However, there is a direct causal effect of investors saving motive on their expected investment value. Conclusion: The investor’s motive was the prime factor to make a preferred underlying investment based on their future need.
Real Time Meteorological Solar Data Based Modified Solar Aware LEACH
Authors:   Department of Electronics & Communication,Sir Padampat Singhania University, Bhatewar, Udaipur, Rajastan, India.., Chaudhari* Monali , A. A Bhaskar ,   Department of Electronics & Communication, Sir Padampat Singhania University, Bhatewar., Udaipur, Rajastan, India.
Published: October 2019

In hostile and non-accessible remote area, energy conservation plays vital role in the performance of Wireless Sensor Network (WSN). Shorter life of battery operated sensors tends to lower lifespan of the WSN which further degrades the dense network performance. In this paper, we propose the modified solar aware LEACH for efficient routing in WSN to maximize the network lifespan. This proposed scheme uses real time solar meteorological data for the implementation of solar aware LEACH (sLEACH), advance solar aware LEACH (A-sLEACH), improved solar aware LEACH (IS-LEACH).The proposed algorithm is simulated using MATLAB and performance is evaluated on the basis of data throughput, energy consumption and network lifetime which show improved performance than existing techniques.
Petri Net Based Modeling and Property Analysis of Distributed Discrete Event System
Authors:   Department of Electronics and Communication Engineering, Amity School of Engineering and Technology, Amity University Haryana, Gurgaon, India., Dahiya* Sonal , Kumavat Dr. Sunita ,   Department of Applied Mathematics, Amity School of Applied Sciences, Amity University Haryana, Gurgaon, India., Singh Dr. Priti ,   Department of Electronics and Communication Engineering, Amity School of Engineering and Technology, Amity University Haryana, Gurgaon, India.
Published: October 2019

PetriNet is an imperative and handy language used for modeling and analysis of discrete event system (DES) i.e. a dynamic system that progress according to unexpected occurrence of events at probably unknown, asymmetrical interval of time. This concept provides an interface for analysis of behavioral and structural properties like liveness, boundedness and cover-ability tree of discrete event systems. These properties are not only necessary for proving the correctness of system model but also helpful in checking the deadlock conditions in a system. As a graph Petri Net is used for modeling and mathematically, it can be used for analysis of the system. In this paper, we have first modeled various DES like computation model and communication model using Petri Nets and then analyzed their properties using MATLAB. These DES models have applications in almost every domain of science and engineering.
T-Span, T-Edge Span Critical Graphs
Authors:   Research scholar, Department of Mathematics, St.Joseph’s college (Autonomous) affiliated to Bharathidasan University, Trichy., Roselin.* MS. S. Jai , Raj Dr. L. Benedict Michael ,   Head and Associate Professor, St.Joseph’s college (Autonomous) affiliated to Bharathidasan University, Trichy.
Published: October 2019

Given a graph and a finite set of positive integers containing , a -coloring of is a function for all in such that if then . For a -coloring of G, the f-span is the maximum value of over all pairs of vertices of The -span ) is the minimum -span over all -colorings f of . The -edge span of a -coloring is the maximum value of over all edges of . The -edge span ) is the minimum -edge span over all -colorings f of . It is known that ) ) and ) e ) for every graph . In this paper we classify which graphs containing a sub graph such that and ) e ). Also we discuss the Mycielskian of -coloring.
Impact of ICT on Empowerment of Women in the Rural Areas of Assam
Authors:   Associate Professor and Head in the Department of Political Science, T.H.B. College, Jamugurihat, Sonitpur, Assam, affiliated to Gauhati University., Baruah* Dr. Jayanta
Published: October 2019

Information and Communication Technologies (ICTs) brings ample opportunities for the comprehensive social and economic development of the people of the whole world. The chance for countries or regions to develop without the adaption of ICTs will be little. Therefore, the ICTs have been increasingly promoted as a key solution for comprehensive development, poverty elimination and the women empowerment and can be used to eliminate discrimination, establish social justice, achieve equality, well-being and participation in decisions and policy formations that impact the quality of their lives. ICTs are emerging as a vital means for women empowerment in a developing country like India. It has proven to be a powerful tool for enhancement of one’s productivity and hence economic upliftment, reduction of manual efforts, high living standard, and above all, quick and fast alignment with the developments in the rest of the world. Women empowerment is an important concept in the present day context. In a democratic country active participation of people in the polity is a must to make the democratic government successful. It has been observed that women have been deprived in all concern of their life in the world in general and in India is Particular. But a country can’t achieve its desired goals without depriving its half of the population, the women community. In our paper we will try examine the impact of ICTs on the empowerment of women in the rural areas of Assam, specially the women of Sonitpur district, Assam, India. To make our research successful, we have considered 40 women as sample considering 10 each from House wife, Girl Students, Service women and Wage Earner women of the district. A questionnaire will be prepared for data collection. Simple random sampling method will be adopted in selecting samples for our research.
PhishAlert: An Efficient Phishing URL Detection via Hybrid Methodology
Authors:   Research Scholar, Deenbandhu Chhotu Ram University of Science & Technology, Murthal, Sonepat-131039, Haryana, India, Sharma* Bhawna , Singh Dr. Parvinder ,   Professor, Department of Computer Science & Engineering, Deenbandhu Chhotu Ram University of Science & Technology, Murthal, Sonepat -131039, Haryana, India,
Published: October 2019

In spite of various research endeavors, phishing assaults stay common and exceedingly successful in attracting clueless clients to uncover delicate data, including account details and government managed savings numbers. Misfortunes due to phishing are developing consistently. A solitary methodology isn't effective for distinguishing a wide range of phishing assaults. So we propose a hybrid approach to deal with the classification of URLs as phishing or real. The investigation aftereffects of our proposed methodology, in view of a dataset gathered from phishing and legitimate URLs, have demonstrated that PhishAlert framework can successfully counteract phishing assaults and can thus ensure system security.
Development, Fabrication and Evaluation of Semi-Automatic Field Crop Transplanter
Authors:   Agricultural Machinery, Basic Sciences, College of Agriculture, University of Diyala, Baqubah, Iraq., Hassen* Nasir Salim , Almubarak Nadir Flayh Ali ,   Department of Field Crop Sciences, College of Agriculture, University of Diyala, Baqubah, Iraq.
Published: October 2019

Increase the area allocated for field crops cultivation requires moving from manual agriculture to mechanical farming. The aim of this study is development, fabrication and evaluation semi-automatic field crop transplanter. Performance evaluation of the transplanter was carried out for transplanting of 20-25, 25-30, and 30-35 cm corn seedlings at three forward speed levels of 0.3, 0.4 and 0.5 km h-1 under actual field conditions in terms of plant spacing, planting depth, and missing plant index. The transplanter precisely plants seedlings into ground. The effect of seedling height on the planting depth was found to be significant. In addition, plant missing percentage increased with increasing of forward speed.
Recapitulation of Machine Learning Algorithms in Diabetic Detection
Authors:   SCSE, Galgotias University, Greater Noida, India,, Johri Prashant , Kumar* Lalit ,   SCSE, Galgotias University, Greater Noida, India,, Kumar Avneesh ,   SCSE, Galgotias University, Greater Noida, India,, Saxena Vivek Sen ,   Department of IT, INMANTEC Institutions, Ghaziabad, India
Published: October 2019

Diabetes mellitus is one of the major non-transmittable infections, which have extraordinary impact on human life. Due to dynamic work culture and dormant way of life-style of 21st century, approximately 62 million Indian families are diabetic. By applying prescient examination on clinical enormous information, the gigantic volume of information is produced in the human services frameworks, and this will be utilized to make therapeutic insight, which drive medicinal expectation & anticipation. A lot of information is accessible with respect to the malady, manifestations and their impact on well-being. Since this information isn't legitimately investigated to foresee or to examine an infection. The objectives of paper is summarized as to give a point by point adaptation of prescient models for computational investigation from condition of workmanship, depicting different reasons for diabetes procedure, for extricating information from diabetes patients and describing different predictive models with their applications in Healthcare, particularly in the field of diabetes.
Psychological Contract and Attrition in Information Technology Sector
Authors:   Research Scholar/ KIIT School of Management/ KIIT University/ Bhubaneswar /Odisha/ India., Chakrabarti* Saikat , Satpathy Dr. Ipseeta ,   D. Litt Professor/ KIIT School of Management/ KIIT University/ Bhubaneswar/ Odisha/ India., Patnaik Dr. B.C.M ,   Associate Professor/ KIIT School of Management/ KIIT University/ Bhubaneswar/Odisha/ India.
Published: October 2019

What causes attrition and break of psychological contract in Information Technology (IT) sector, why they pose a serious problem to human resource managers and how they can be arrested are focal points of the present study. In any organisation the only living resources are human resources. This animate resource has the ability of rational and independent thinking. So, more the gap between employees’ expectations prior to their entry and what they actually get , the more is the chance of attrition. Organisations based on Information Technology are, in fact, skill-based industry. So, in such organisations attrition means loss of skill and expertise. Present researchers have found out the factors of psychological contract-breach and psychological contract violation leading to attrition. Forecasting attrition is indeed very difficult. Therefore, two sets of factors have separately been identified in the present article – a) factors responsible for breaking psychological contract and b) factors behind attrition. Attempts have been made here to find out the common factors affecting both psychological contract and attrition. In doing so, they at first have taken the help of previous literatures. Then through questionnaire they have collected the responses of 266 respondents of a Kolkata-based IT organization to find out causes of attrition. Method of Principal Component Analysis (PCA) has been used for the purpose. Five significant components of attrition-problem have been found similar to the factors of breaking psychological contract. Finally, the researchers have introduced a new factor i.e., effect of technological change on psychological contract and attrition. This research work will help human resource managers to identify and control causes of breaking psychological contract and of attrition. There is a scope for future studies on the newly introduced factor.
Power Dominator Chromatic Number for some Special Graphs
Authors:   Associate Professor, PG & Research Department of Mathematics, Quaid-E-Millath Government College for Women (Autonomous), Chennai – 600 002, Tamilnadu, India., Maheswari* A. Uma , Samuvel J Bala ,   Research Scholar, PG & Research Department of Mathematics, Quaid-E-Millath Government College for Women (Autonomous), Chennai – 600 002, Tamilnadu, India.
Published: October 2019

Let G = (V, E) be a finite, connected, undirected with no loops, multiple edges graph. Then the power dominator coloring of G is a proper coloring of G, such that each vertex of G power dominates every vertex of some color class. The minimum number of color classes in a power dominator coloring of the graph, is the power dominator chromatic number . Here we study the power dominator chromatic number for some special graphs such as Bull Graph, Star Graph, Wheel Graph, Helm graph with the help of induction method and Fan Graph. Suitable examples are provided to exemplify the results.