bluuebunny/crossref_metadata_2025 huggingface dataset:
PENGEMBANGAN PROSES PEMBUATAN IMPELLER DENGAN CETAKAN KULIT
Authors: Suharno  , Suhadi Amin
Published: September 2019

Impeller merupakan komponen pompa air yang cukup vital dan umumnya terbuat dari kuningan yangharganya relatif mahal, maka dilakukan pengembangan dan dibuat dengan material paduan aluminium yanglebih murah. pembuatannya dicor dengan metode cetakan kulit (shell mold casting) Alat peleburanmenggunakan tungku crucible sederhana. Untuk mendapatkan performa dan karakteristik pada materialdengan uji mekanis dan fisik yaitu uji tarik, uji kekerasan, uji impak, uji komposisi material serta strukturmikro. Cetakan cor terbuat dari pasir cor jenis silika (SiO2) dengan ukuran butiran 0.06–0.1 mm, dengancampuran resin fenol dan katalis sebagai pengikat dan pengering resin. Komposisi aluminium paduan dibuattiga variabel, 1% Cu, 3% Cu dan 5% Cu.Kekuatan tarik maksimum 9950 N/mm², kekerasan maksimum 376N/mm², tenaga pukul impak 45 Joule.
ANALISIS PENGARUH PSIKOSOSIAL DAN FAKTOR RESIKO LAINYA TERHADAP KEJADIAN TB MDR
Authors: Yoga Ginanjar  , Tria Astika  , Nana Supriyatna
Published: September 2019

Peyakit tuberculosis masih menjadi masalah kesehatan masyarakat yang utama di Indonesia baik dalam hal pravalesinya maupun masalah-masalah lainya. Upaya dalam penanggulangan penyakit tuberkolosis masih terus dilakukan, namun dalam perjalananya banyak hambatan dalam upaya tersebut, salah satunya adalah dampak ketediak berhasilan pengobatan pasien tuberculosis. Penelitian ini bertujuan untuk mengetahui pengaruh psikososial dan faktor resiko lainya terhadap kejadian TB-MDR. Desain penelitian ini menggunakan cross sectional dengan total sampel sebanyak 62 responden. Hasil penelitian menunjukan bahwa faktor yang berhubungan adalah psikososial OR 0,049 (95% CI : 0,007-0,351) dan pendidikan OR 0,072 (95% CI : 0,013-0,407). Penelitian tersebut menunjukan bahwa untuk mendukung pelaksanaan program DOTS, pasien TB MDR harus terus dimonitoring perkembangan selama pengobatan terutama dalam hal psikososial.
PENGARUH TERAPI MINUM AIR PUTIH TERHADAP PENURUNAN KADAR GULA DARAH SEWAKTU (GDS) PADA PASIEN DIABETES MELLITUS TIPE II
Authors: Ahid Jahidin  , Lina Fitriani  , Masyitah Wahab
Published: September 2019

Diabetes Mellitus adalah gangguan metabolik dengankarakteristik peningkatan kadar glukosa dalam darah. Terapi air putih merupakan metode perawatan danpenyembuhan dalam penanganan penyakit terutama untuk Diabetes Mellitus.Tujuan PenelitianUntuk Mengetahui Apakah Ada Pengaruh Terapi Minum Air Putih Terhadap  Kadar Gula Darah Sewaktu Pada PenderitaDiabetes Mellitus Tipe II Di Desa Bumiayu Keacamatan Wonomulyo Kabupaten Polewali Mandar.Metode Penelitian ini adalahadalah Eksperiment denganpendekatan desain One Group Pre-Test dan Post-Test Design, jumlah sampel 20orang dengan penentuan sampel menggunakanPurposive Sampling. Data diperoleh dengan cara wawancara menggunakan Uji Repeadte Anova, dengan tingkat kemaknaan p<0,005.Beradasarkan hasil uji statistik menggunakan Uji repeated Anova diperoleh P value= 0,000  (α=0,05), sedangkan Hasil uji analisis Post Hoc Paired Wise Comparison (Bonferroni) menunjukkan ada perbedaan bermakna kadar gula darah sewaktu anatarapre test  dan Post test H-14. Dengan kata lain Ho ditolak dan Ha diterimakarena ada pengaruh terapi minum air putih terhadap kadar gula darah sewaktu pada pasien Diabetes Mellitus Tipe II di Desa Bumiayu Kecamatan Wonomulyo Kabupaten Polewali Mandar.Berdasarkan hasil penelitian diharapkan penderita Diabetes Mellitus Tipe II  hendaknya rutin memeriksa kadar gula darah sewaktu dan rutin melakukan terapi minum air putih.
A Dictionary Based Analysis of User’s Sentiment Regarding Indian Premier League
Authors:   Department of CSE, Koneru Lakshmaiah Education Foundation, Vaddeswaram, A.P., India., Paul* Chayan , Bora Pronami ,   Department of ECE, Koneru Lakshmaiah Education Foundation, Vaddeswaram, A.P., India.
Published: September 2019

The growth of social media has provided the users with a platform to express their views on numerous themes. Social networking sites like Twitter are considered as large source of users’ sentiment. Twitter has become one of the biggest sources for evaluating sentiment analysis. The shorter and informal nature of the text encourages the users to express their sentiment fast and effectively. The huge amount of data that gets generated mostly in text format can be used for studying user’s sentiment regarding any topic. Indian Premier League (IPL) is a cricket tournament of T20 format that draws a lot of attention from the viewers. Right from the very beginning IPL has remained in the glare for consecutive 12 years. Because of the participation of renowned players from throughout the globe, some famous Bollywood personalities and businessmen, this tournament remains one of the topics for discussion. In this paper, we propose to study the users sentiment related to IPL using twitter data. The tweets related to IPL are proposed to be downloaded and analyzed to find out the sentiment regarding IPL.
Electronic Mentoring as an Electronic Learning Technology in Public Service
Authors:   MIREA - Russian Technological University, Moscow, Russia., Soroko* A.V. , Shemonchuk D.S. ,   MIREA - Russian Technological University, Moscow, Russia., Bondaletov V.V. ,   MIREA - Russian Technological University, Moscow, Russia., Bondaletova N.F. ,   MIREA - Russian Technological University, Moscow, Russia.
Published: September 2019

Electronic mentoring as an innovative technology in training is becoming increasingly popular in the public service. To this end, the authors of this paper have developed a conceptual framework for an intra-organizational learning environment based on the use of game modeling that would promote professional development and personnel evaluation. The basis of the intra-organizational learning environment design is the methodology of visual graphical modeling and the method of production rules construction. The learning environment ensures the variability and continuity of educational programs organized by position and by personnel procedures. In the course of preliminary testing, an initial measurement of the employee’s professional competencies is performed, followed by comparison with the professional competencies expected for that particular position and the assessment of changes. The results of the assessment are transferred to a visual graphical model. Based on the results of the assessment, the system automatically puts the employee on reserve or assigns them a training program. The training process for a particular position is based on the principles of “learning through playing” and visual imitation. The passage of personnel procedures is based on a sequence of production rules; the application of gaming techniques means that the proposed scenarios are not the product of an abstract generalization, but a real personnel procedure. The article considers the problems and features of modeling the educational environment, as well as the experience of the research team of the Moscow Technological University in the development of production rules and the creation of simulators for civil servants to develop regulations and acquire new skills.
Sensors Based Automotive vehicle for the detection of fuel level
Authors:   Bachelor of Technology in Electronics and Communication Engineering from Lovely Professional University, Punjab, India and Masters of Technology in Communication Systems from Guru Nanak Dev University, Punjab, India., Kalsi* Puneet , Singh Harpreet ,   passed the degree in Electronics and Communication Engineering from Punjab Technical University, Punjab, India.
Published: September 2019

Structure and usage of computerized fuel check which estimates the precise dimension of fuel including while fuel filling process. Presently a-days all fuel bunks having sorts of advanced presentations unit so as to show the estimation of fuel adding to the vehicle. In this paper we have proposed a method to quantify the measure of fuel accessible in tank. This framework carefully shows the dimension of fuel inside the tank by utilizing ultrasonic sensor and fuel flow sensor and these sensors are interfaced with an advancement board-Arduino. In this manner, it is an effective framework to distinguish the fuel volume in the fuel tank, to get quick perusing of fuel volume and to stay away from oil burglaries at the different oil siphons at the time of filling of tanks. In addition, if the vehicle is given to colleague to fill the fuel and to use that for some distance, this paper identifies that whether the vehicle is used for particular distance or the fuel that is already in tank is used by the colleague.
Experimentation & CFD Analysis of Intercooler Fins in Two Stage Reciprocating Air Compressor
Authors:   Associate Professor, Department of Mechanical Engineering, D. Y. Patil College of Engineering Akurdi, Pune, Maharashtra, India., Nitnaware* Dr. P. T. , Kale Gayatri. J. ,   P.G Scholar, D. Y. Patil College of Engineering Akurdi, Pune, Maharashtra, India., Bansod Dr. Premendra J ,   Associate Professor, Department of Mechanical Engineering, G H Raisoni College of Engg. & Management Wagholi Pune, India., Hambarde Dr. Manoj D ,   Astt. Professor Affiliation- School of Mechanical Engineering, Dr. Viswanath Karad MIT World Peace University, Pune, India., Deodas Sanjay R ,   Assistant Professor Department of Mechanical Engineering, D. Y. Patil College of Engineering Akurdi, Pune, Maharashtra, India.
Published: September 2019

This paper shows comparison of Aluminum and Copper fin tube intercooler used in multistage reciprocating air compressor. Results are validated with ANSYS – Fluent - 18.2 software. The experimentation is done on the Copper fin tube length 1090mm with helically wounded strip width of 6mm and 8 numbers of fins per inch. Volumetric efficiency increases and work input decreases for Copper fin tube with air velocity of 5 m/s. The results shown increase in heat transfer with decreasing air temperature.
Identifying Stuttering using Deep learning
Authors:   Student of Vellore Institute of Technology, 3rd-year Electronics and Communication Engineering, Tibrewal* Vedant , Pandey Aman ,   Student of Vellore Institute of Technology, 3rd-year Electronics and Communication Engineering, Haque Mohammed Mobasserul ,   Student of Vellore Institute of Technology, 3rd-year Electronics and Communication Engineering, Manimozhi M. ,   Associate Professor in the department of Control and Automation, VIT University.
Published: September 2019

Stuttering is a prevalent neurodevelopmental speech disorder, wherein people suffer from disfluencies in speech production. Speech disorders such as stuttering affect a variety of other communication problems such as hearing and fluency. Common therapies of stuttering involve strategies to minimize stuttering but do not attempt to eliminate stuttering, Researchers have analyzed the root cause of stuttering tends to be neurological roots. Therefore, there needs to be a more generic therapy technique which is more adaptive. This paper proposes a deep learning and neural network-based algorithm for adaptive neurological stuttering by utilizing the potential of mirror neurons.
A Framework to Measure Level of Changeability & Reusability by using K means Classifier
Authors:   Computer Science & Applications, Maharshi Dayanand University, Rohrak, India, Gahlot* Sonal , Chhillar Rajender Singh ,   Computer Science & Applications, Maharshi Dayanand University, Rohrak, India
Published: September 2019

Component’s reusability shows the level to which the component can be reused in alternate or as same component constructed applications. Software component’s intricacy is measuring the internals of the modules to achieve the quality maintained using the modules. On the basis of metrics which contribute towards the reusability and complexity factors, the training samples are prepared with the help of metric plug in. This research work is centered around constructing a structure which calculates level of variability and reusability with K means Classifier, the planned method computes the reusability and intricacy of the components (samples) and every of the sample falls in a classification or a cluster like high to low reusability cluster. The proposed technique automatically calculates the reusability & complexity of the testing samples given as input to the classifier with the help of enhanced K-means classifier.
Multi-Modal Region Based Convolution Neural Network (MM-RCNN) for Ethnicity Identification and Classification
Authors:   Research Scholar, Department of CSE, Annamalai University, Christy* C. , Arivalagan Dr. S. ,   Assistant Professor, Department of CSE, Annamalai University, Sudhakar Dr. P. ,   Assistant Professor, Department of CSE, Annamalai University
Published: September 2019

Human facial images help to acquire the demographic information of the person like ethnicity and gender. At the same time, the ethnicity and gender acts as a significant part in the face-related applications. In this study, image-based ethnicity identification problem is considered as a classification problem and is solved by deep learning techniques. In this paper, a new multi-modal region based convolutional neural network (MM-RCNN) is proposed for the detection and classification of Ethnicity to determine the age, gender, emotion, ethnicity and so on. The presented model involves two stages namely feature extraction and classification. In the first stage, an efficient feature extraction model called ImageAnnot is developed for extracting the useful features from an image. In the second stage, MM-RCNN is employed to identify and then classify ethnicity. To validate the effective performance of the applied MM-RCNN model, various evaluation parameters has been presented and the simulation outcome verified the superior nature of the presented model compared to existing models.
Impact of Revised Code Provisions of Seismic and Wind Loads on RCC Elevated Water Tanks
Authors:   Professor, Department of Civil Engineering, GITAM Institute of Technology, GITAM, Visakhapatnam, India., K.V.G.D* Balaji , Kumar T. Santhosh ,   Assistant Professor, GITAM School of Architecture, GITAM, Visakhapatnam, India., Kumar B.Santhosh ,   Ph.D. Scholar, Department of Civil Engineering,GITAM Institute of Technology, GITAM, Visakhapatnam & Deputy Executive Engineer, Water Resources Department, Government of Andhra Pradesh, India., Babu K.Chitti ,   Assistant Professor, GITAM School of Architecture, GITAM, Visakhapatnam, India.
Published: September 2019

Reinforced concrete elevated water tanks have been reckoned as importance structure for post-earthquake and Post cyclonic emergency service consideration.Certain additional guidelines have been recommended in IS 1893 (Part-2) 2014 Earthquake code and IS 875 (Part-3) 2015Wind load code in cyclonic prone areas of Indian peninsula. Three different capacities of RCC Elevated water tanks have been examined the effects of revised code provisions with the STAAD Pro (v8i) software to assess the internal parameters such as axial force at the ground level, Bending moment, Base Shear force and finally the quantity of steel required. The effect of Zonal classifications is illustrated and finally it can be concluded that the Earthquake design criteria governs when compared to Cyclonic load consideration.
Customers’ Attitude towards Chatbots in Banking Industry of India
Authors:   Department of Management, Jagan Institute of Mangement Studies, Rohini., Gupta* Dr. Amisha , Sharma Dr. Deepti ,   Department of Information Technology, Jagan Institute of Mangement Studies, Rohini.
Published: September 2019

This research investigates the customer’s attitude towards the chatbots in Banking Industry of India. The author used correlation analysis to determine and understand the attitude of customer for acceptance and adoption of chatbots in banking industry. Data is collected through Primary survey. 100 people were targeted, out of which 72 responded. The study concludes a positive correlation between the attitude and the adoption of chatbots. As part of the conclusion author made some suggestions and recommendations discussing the implementation of chatbots in the banking industry of India.
Cost Effective Design of Extra High Voltage Transmission Lines for Minimizing Transmission Congestion Problems
Authors:   Department of Elect. Engg., School of Technology, Pandit Deendayal Petroleum University, Gandhinagar, Gujarat, India, Vyas* Kaustubh , Jamnani Dr. J. G. ,   Department of Elect. Engg., School of Technology, Pandit Deendayal Petroleum University, Gandhinagar, Gujarat, India
Published: September 2019

In Country like India having dense population, laying down new transmission lines is a great challenge. Also country being on fast track development mode, there is unceasing demand of electricity due to ever increasing industrialization. With advent of Extra and Ultra High Voltage transmission lines, corridor width for transmission lines can be reduced significantly. This paper describes utilization of a novel objective function for optimizing the structural design of Extra High Voltage transmission lines. Right of way for transmission lines are decided based on the effects of electromagnetic fields and corona effects in vicinity of the transmission lines. Objective function developed here takes into account the combined effects of electromagnetic fields to optimize design of transmission line tower structure. With compaction of towers further Right of way reduces leading to cost benefits in land procurement. A real time case of a transmission line situated in Gujarat is considered for validating the results of Optimization algorithm developed by authors. MATLAB has been used as programming platform for mathematical modeling as well as a platform for developing GUI that facilitates plotting of fields in vicinity of transmission lines in 2D and 3D environment. Genetic Algorithm coding is used to solve the optimization problem. Significant cost benefits and compactness in transmission tower structure is achievable as is clear from the results shown in this paper. This optimization algorithm can be extended for Ultra High Voltage lines also.
Characteristic Mode Examination on Various form of Antenna for MIMO
Authors:   Research scholar, Department of Electrical and Electronics Engineering, Bharath Institute of Higher Education and Research , Chennai, India., A* Sundaramoorthy , Wiselin M.C. John ,   Supervisor, Department of Electrical and Electronics Engineering, Bharath Institute of Higher Education and Research, Chennai, India.
Published: September 2019

The main plan to create one of a kind modified sorts of reception apparatus with the ideal radiation qualities reasonable for MIMO applications. It is utilized to get scientific methodology for reception apparatus proposition and anticipating transmitting execution of radio wire by examination of trademark modes. The Examination of attributes mode is utilized to create wanted current conveyance and transmitting execution of a receiving wire. Among various current which is disseminated over surface of reception apparatus. Required mode is distinguished at Finest Feeding Point (FFP) for structured radio wire. The planned receiving wire work at various benchmarks so it might give multiband or broadband activity. It might be encourage symmetrical radiation designs at a given recurrence of numerous trademark modes, which has the viable element of Multiple Input and Multiple Output (MIMO) Anetnna.
Multimodal Biometrics Data Based Gender Classification using Machine Vision
Authors:   Professor, Department of Computer Science, Rani Channamma University, Belagavi, India., Gornale* Shivanand S , Patil Abhijit ,   Research Scholar, Department of Computer Science, Rani Channamma University, Belagavi, India., R Kruti ,   Research Scholar, Department of Computer Science, Jain University, Bangalore, India.
Published: September 2019

Gender classification from biometrics data is a significant step in forensics to categorize and minimize the suspects search from the criminal records. In this paper, we present multimodal biometrics data analysis for Gender Classification using machine learning algorithms which take input as a Face, Fingerprints and Iris images. Extensive experiments were conducted using feature level and synthesis of classifiers on the SDMULA-HMT and KVK-Multimodal datasets. Experimental results presented using multimodal biometrics data fusion schemes achieves high gender classification accuracies compared to the contemporary techniques stated in the literature.
Numerical Prediction of Heat Transfer of Commercial R12 Coolant Through Different Cross-Section Microchannels of Same Hydraulic Diameter
Authors:   Asst Prof., Brainware Group of Institutions- SDET, Kolkata, India, Chakraborty* Gourab , Sarkar Shubhankar ,   Brainware Group of Institutions- SDET, Kolkata, India,, Chatterjeee Pritam ,   Brainware Group of Institutions- SDET, Kolkata, India, Samanta Soupam ,   Brainware Group of Institutions- SDET, Kolkata, India, Chanda Dr. Arunabha ,   Professor, Jadavpur University, Kolkata, India
Published: September 2019

Microchannels are the next step for current heat exchangers and probably the most effective cooling technique for recent miniaturized electronic components. Five different shapes of pipes (rectangular, circular, triangular, semi-circular & trapezoidal) of same hydraulic diameter are taken into consideration for this numerical investigation. One industrial coolant namely R12 is passed through the above-mentioned channels. This numerical investigation seeks to find out which section shape is the best suitable one for two phase heat transfer phenomenon. The present work is validated with the experimental work of Liu, Lee& Garimela where water is used as a coolant and passed through a rectangular channel and the numerical simulation is carried out with the help of commercial Ansys software. The current investigation aims to link the applicability of commercial coolants in the field of microchip cooling. This study will help electronics cooling industries by pinpointing the enhanced heat transfer phenomenon through microchannel where microchannel geometry and coolant both play a crucial role apart from the material itself.
Modified Artificial Bee Colony Algorithm with Multilevel Threshold Segmentation and Boundaries Evaluation for Shadow Detection
Authors:   Professor in electronics and communication engineering department, Maulana Azad National Institute of Technology, Bhopal, India., Shandilya* Madhu , Das Rakesh Kumar ,   received the BE degree in Electronics and communication engineering from RGPV University and the M.Tech in digital communication from MANIT Bhopal, India.
Published: September 2019

The appearance of shadows typically causes severe problems in pc vision. There are various methods have already put forward but scope in this field is open. In this article Shadow Detection and Removal Using Modified artificial bee colony (MABC) Algorithm with Multilevel Threshold segmentation is proposed. The proposed method uses three threshold and corresponding boundaries, associated curvature, edge response, gradient, and MABC algorithm. First data pre-processing is applied to find the correlation between the pixels then three threshold and corresponding boundaries evaluated to accurately differentiate pixels as foreground. The edge response, curvature, gradient are applied to find the boundaries. Finally, MABC has been applied for detecting the shadow. The results show improvement in comparison with other existing methods.
Exploratory Factor Analysis of Lighting As Preferable Physical Environment Attribute
Authors:   Faculty of Architecture and Ekistics, Universiti Malaysia Kelantan, Malaysia., Muhammad* Siti Aisyah
Published: September 2019

A great design is something that satisfied both client need and desire, whilst it is a challenge of innovation is to go beyond aesthetics. Literature reviews have developed several survey regarded to interpret the ideal images of the attraction factor from the prospective customer where the prospective and retrospectives approaches happened. A coffee shop is a cultural trend where the function is not only a drinking place. The issue of short sustain in coffee shop service while the current mushrooming of the coffee shop business everywhere lead to understanding the factor of customers preference in selecting a coffee shop. This paper aims to determine component of lighting as preferable physical environment using exploratory factor analysis in SPSS. The constructs of lighting comprised of comfortable lighting, enough lighting, bright lighting, natural lighting, energy saving lighting, candle lighting and colorful lighting. The components of the attributes were identifies after the Exploratory Factor Analysis (EFA) using Principle Component Analysis (PCA) and Hierarchical Cluster analysis from 188 prospective customers consisted of 38.3% male respondents and 61.7% female respondents, resulted two main components extracted namely natural lighting and artificial lighting. The distinct factors determine the preferable lighting attributes by the prospective customers towards the natural lighting compared to artificial lighting. The opening therefore must put as design priority for a coffee shop to allow natural penetration of lighting to the interior. The selection of material and building components also can be part of the consideration in allowing the access of natural lighting with minimal artificial lighting used. The result potentially applied in architecture, service design and innovation industry to produce preferable lighting condition by the client.
Determining Customer Perceptions using Text Mining for an FMCG Product “Maggi” In India
Authors:   Management Department, Symbiosis Institute of Business Management, Bengaluru, Symbiosis International (Deemed University), Bengaluru, India., Fernandes* Semila , Sharma Aarti Mehta ,   Management Department, Symbiosis Institute of Business Management, Bengaluru, Symbiosis International (Deemed University), Bengaluru, India., A Vidyasagar ,   Management Department, Symbiosis Institute of Business Management, Bengaluru, Symbiosis International (Deemed University), Bengaluru, India.
Published: September 2019

Purpose: With the popularity of social media, blogging, documents in the web, multiple text information is being generated every moment. Companies can gauge consumers’ sentiments by conducting analysis of tweets or Facebook posts and can take timely action to tweak promotional campaigns. In the beginning of 2015, Maggi noodles was banned by the then government. To track the sentiments of the people on the coming back of Maggi, the widely accepted micro blogging site, Twitter, is used. Twitter continuously generates different points of view on any given subject, relating to social issues, marketing issues etc. The challenge lies in understanding and analyzing these unstructured texts, figuring out the relevant information and transforming it into actionable cognizance. Methods: The paper extracts set of 500 Twitter posts containing “Maggi”. 500 tweets were extracted to avoid heavy computation. The data was extracted by creating an interface between a twitter account and the statistical software R where we used the graphical user interface RStudio. This paper analyses tweets on this popular packed food item “MAGGI” by using statistical software like R and Excel. The methodology performed sentiment analysis using text mining approach following steps of Data Extraction, Text Transformation, Analyze the data, Data representation and validation. Results: The paper conducts sentiment analysis on social media and examines consumer perception of “Maggi”. There are few negative tweets like “Tired of #Maggi”, “Hesitant to take the first bite of #Maggi #marketingmoves” but most of the tweets were in the favor of Maggi. Tweets like, “This new #Maggi ad will surely make you go nostalgic!!”, “3am with beloved curry maggi + boiled chicken”, “When you wanna eat healthy but you low on cash. #Yasssss #Maggi #Broccoli #Sausages #Protein” show strong positive sentiment. From the sentiment analysis conducted on Maggi noodles, there were more positive rather than negative responses towards Maggi’s reentry into the Indian market. Thus, the concept of sentiment analysis can give marketers quick, preliminary insights into the consumers psyche which can later be followed up by traditional market research techniques.
Diagnosis of Plant Diseases using Artificial Neural Network
Authors:   Electronics and Telecommunication, BATU University, P.V.P.I.T, Budhgaon, Sangli, India., Chavan* Dr. Madhukar.S.
Published: September 2019

Pomegranate is one of India's most commonly cultivated fruit crops. manual expert observations are being used to detect leaf diseases that take longer time for further prevention. Fruit diseases are causing devastating disadvantages in worldwide agricultural business economic losses in production .in this journal, the answer is proposed and valid by experiment for the identification and classification of fruit disorders. The objective of proposed work is to analyze the illness utilizing picture preparing and artificial intelligence techniques on pictures of pomegranate plant leaf. In the proposed framework, pomegranate leaf picture with complex foundation is taken as input. Then pomegranate leaf ailment division is finished utilizing K-means clustering. The infected segment from portioned pictures is recognized. Best results have been seen when neural networks with a RBFN is used for a classification.
Cross Training – A Long Term Beneficial Tool to an Employer
Authors:   PhD Scholar in Management,Bharath Institute of Higher Education and Research, Chennai Tamilnadu, India., S* Vasanthi. , Basariya Dr.S.Rabiyathul ,   Department of Commerce and Management, Bharath Institute of Higher Education and Research, Chennai Tamilnadu, India.
Published: September 2019

An employer should keep on implementing potential new techniques to reach the business goals and to make the business run the profitable way. One of the technique that makes the employees to learn multiple skills with in the organisation is either with their own interest or by the training programs implemented by the management. Cross training is termed as preparing employees for multiple roles with in the same domain of their skills. Employee having specialised skill cannot function outside their confined roles. Employees may leave the organisation for different reasons internal issues, separation and emergency situations. If there are functions that are handled by one person with specified skills, flow of operations will get affected. In such situations cross training plays a major role bringing benefits to both for employees and also for employers. Cross training will enable the employer to consolidate the skills and abilities of each employee and plan for skill pairing such that the employee absenteeism, production down time etc can be handled easily. This paper explains the benefits that can be gained by an employer by distributing the questionnaire in a manufacturing industry and analyzing their responses.
Feature Reduction using Lasso Hybrid Algorithm in Wireless Intrusion Detection System
Authors:   Computer Science, PES University, Bangalore, India., Vijayakumar* D.Sudaroli , Ganapathy Sannasi ,   Computer Science, VIT University, Chennai, India.
Published: September 2019

To maintain the integrity and protection of networks, intrusion detection systems play a vital role. Growth of wireless networks turned the globe to perform all pecuniary tasks online resulting a lot of security breaches in the network. One of the common breaches happening in network is the intruders who eventually tries to bypass the adopted security framework. Every day new intrusions arises and new solutions as well, however the research in making the intrusion detection system intelligent holds energetic. Today most of the systems are becoming intelligent by adopting machine learning and artificial intelligence algorithms. Success of building an efficient machine learning model to make intelligent intrusion detection system is relied on the effective features considered for classification and prediction. Thus, feature reduction is an integral part for discarding irrelevant and redundant features to produce a computationally decisive system that can identify defects with high accuracy. This implementation is an attempt to identify the smaller feature set possible for the well adopted wireless intrusion detection dataset AWID. Here, we proposed a LASSO based implementation to produce a smaller decisive set of features. Incorporation of Lasso on feature reduction not only provides a smaller set of features, but also allow to adopt prediction algorithms inside Lasso resulting lesser number of false alarms as well.
Water Quality Assessment of Hebbal Lake in Bangalore City
Authors:   Assistant Professor, Department of Civil Engineering, REVA University, Kattigenahalli, Yelahanka, Bangalore, Karnataka, India, Naik* Poojashri R , S Sankalpasri S ,   Assistant Professor, Department of Civil Engineering, REVA University, Kattigenahalli, Yelahanka, Bangalore, Karnataka, India, S Bhavya B ,   Assistant Professor, Department of Civil Engineering,MVJ College of Engineering, Whitefield, Bangalore, Karnataka, India, V ReshmaT ,   Assistant Professor, Department of Civil Engineering, REVA University, Kattigenahalli, Yelahanka, Bangalore, Karnataka, India
Published: September 2019

Bangalore city consists of many artificial lakes which was constructed for domestic water supply, industrial, agricultural and also for recreational purposes. Due to huge population growth, pollution and urbanization the lakes of Bangalore is depleting day by day. Hebbal lake is one among the oldest lake in Bangalore, with its source being rainwater. Hence there is a need to study, restore and protect this lake. The present study deals with studying and analyzing the physico-chemical parameters of Hebbal Lake at its different sampling points. The following parameters were analyzed in laboratory using different analytical methods i.e Temperature, Dissolved oxygen, Biochemical oxygen demand (BOD), Chemical oxygen demand (COD), Electrical conductivity, Total hardness, Total dissolved solids (TDS), and chloride. All other parameters were well within the permissible limits. The BOD exceeded the maximum limit as per the standards 6mg/lit prescribed by BIS. Water quality index was plotted to know its water quality fluctuations at different sampling points. The obtained results revealed the importance of lake restoration and management of the hebbal lake. It was concluded that the lake water could be used for domestic purpose, irrigation, and also for drinking purpose with proper filtration. This paper presents the qualitative assessment of hebbal lake and its remedial measures for water crisis in Bangalore city.
Architectural Framework for Cloud Reliability Model using Fault Tolerance Techniques
Authors:   Research Scholar, Faculty of computer applications, Manav Rachna Institute of Research and Studies, Faridabad, India, Dhingra Mridula , Gupta Dr. Neha ,   Associate Professor, Faculty of Computer, Applications, Manav Rachna Institute of Research and Studies, Faridabad, India
Published: September 2019

Cloud Computing is an essential podium for workable and impracticable users. It achieves high quality reliable services provided to the users via data storage servers. The key challenge in cloud architecture is to run the facilities without any hazel to the users. In today’s world of information technology, most of the applications are real time. The major constraint of the systems used in real time applications is that, they are prone to failure. The failure may be due to the following reasons: a) Failure to complete the task in prescribed time threshold value. b) Failure to achieve prescribed reliability value. Virtualization and Internet-based Cloud computing causes diverse types of failures to occur and so necessity for reliability and availability have turn out to be of vital concern. To ensure reliability and availability of cloud technologies, methods for fault tolerance need to be developed and deployed. The proposed work will focus on adaptive behavior during the assortment of replication and fine-grained check pointing methods for achieving a reliable cloud platform that can grip diverse client requests. In addition to this, the proposed work will also conclude the best suitable fault tolerance scheme to each chosen virtual machine.
Measuring Spatial Dependencies of Various Spatial Objects Related To the Road Safety Discrepancies
Authors:   Research scholar, Department of Mathematics, Srikrishna Devaraya University, Anantapuramu, India., Ganteda Charankumar , G Shobhalatha ,   Department of Mathematics, Srikrishna Devaraya University, Anantapuramu, India, K Rajyalakshmi ,   Department of Mathematics, Koneru Lakshmaiah Education Foundation, Guntur, India
Published: September 2019

Spatial analysis is very much useful and gives better results in analyzing the data related to graph theory in various fields with spatial contexts. Defining the spatial location of the entities being studied are the fundamental problem in the spatial analysis. Spatial graphs and mathematical tools plays a vital role in the analysis of spatial data. In this paper, we madse an attempt to understand the spatial graph properties and it can be used to describe, compare as well as to test specific hypothesis of road safety measures with respect to specific locations. The integration of Graph theory, statistical measure such as spatial autocorrelation and Geographical information system (GIS) provides a scientific platform for measuring the entities involved in road safety. In this connection, we collect the information in different specific locations related to several discrepancies which affect the road safety. Identify the locations with low safety in our study region and measured the similar objects which are close to other close objects by using Moran’s I index. Our main objective is to determine the observed spatial pattern of low safety values is equal to any other spatial pattern. Spatial dependencies with respect to the various discrepancies cause to the low safety and suggest measures to take the precautionary steps when moving from one location to another. From the examined results, we conclude that the similar values grouped together in a map and also observed that the spatial auto correlation, the qualities at one area do not rely upon qualities at other neighboring areas.
Region-Based Segmentation and Object Detection
Authors:   Professor of Computer Science and Engineering, completed his Ph.D. from JNTU, Hyderabad, Raju K. Butchi , Saikiran Bandi ,   M. TECH in Computer Science and Engineering, from GokarajuRangaraju Institute of Engineering & Technology(GRIET), Telangana, India
Published: September 2019

Object identification and multi-object picture separation are two firmly related processes and it can be enhanced when understood jointly by supporting data from one assignment to the next. Be that as it may, current best in object models are different portrayal for each space creation joint objects and leaving the categorization of numerous part of the scene uncertain. Picture element appearance highlights enable us to do well on classifying formless foundation classes, while the express portrayal of districts encourage the calculation of increasingly complex highlights essential for object detection. Vitally, our model gives a solitary bound together portrayal of the scene we clarify each picture elements of image and authorize it contains in the web between every random variable in our model.
The Impact of Filipino Muslim Ethnic Migration into Sabah on ASEAN Integration
Authors:   Centre for Contemporary Fiqh and Syariah Compliance, Faculty of Islamic Studies, Universiti Kebangsaan Malaysia, UKM Bangi, Selangor, Malaysia., Ibrahim Ibnor Azli , Hajimin Mohd Nur Hidayat Hasbollah ,   Centre for the Promotion of Knowledge and Language Learning, Universiti Malaysia Sabah, Kota Kinabalu, Sabah., Jamsari Ezad Azraai ,   Centre for the Middle East and Nusantara, Faculty of Islamic Studies, Universiti Kebangsaan Malaysia, 43600, UKM Bangi, Selangor, Malaysia., Nasir Badlihisham Mohd ,   Academy of Islamic Studies, Faculty of Social Sciences and Humanities, Universiti Teknologi Malaysia, UTM Skudai, Johor, Malaysia., Safiai Mohd Hafiz ,   Centre for Contemporary Fiqh and Syariah Compliance, Faculty of Islamic Studies, Universiti Kebangsaan Malaysia, UKM Bangi, Selangor, Malaysia.
Published: September 2019

Migration among ASEAN countries is not new and Sabah is one of the states in Malaysia that faces this phenomenon. Even prior to independence, Sabah had already been receiving immigrants from ASEAN countries. This study aims at analysing Muslim ethnic migration from the Philippines into Sabah and its impact onto ASEAN integration. This study was qualitatively conducted using content analysis instrument and found that the migration has created a multi-ethnic Muslim community in Sabah, making Sabah as an exemplary multi-ethnic state where the different ethnics can live in harmony. Indirectly, Sabah can become a model to other ASEAN countries which have a multiracial population. This is in line with the desirable declaration to form the ASEAN Community. Simultaneously, Sabah can become a link or medium that foster ASEAN inter-member relations, especially between the Philippines and Malaysia in line with the ASEAN community integration agenda.
Modeling of Internal Context for agriculture in Pervasive Environment
Authors:   Assistant Professor in Computer Science Department of M S Ramaiah Institute of Technology, Alex Sini Anna , Kanavalli Anita ,   Head of Computer Science Department of M S Ramaiah Institute of Technology.
Published: September 2019

Context Awareness is an essential feature in the pervasive computing systems. Internal and external context will play a major role. Internal context modeling using OWL for precision agriculture is described here. This provides an upper context ontology which captures general concepts about basic context. The modeling grows in a domain specific hierarchical manner. Visualization of the model is incorporated in this paper to check the consistency of context information. In this paper we have designed a model for agricultural farming interface and created stories using SAP Lumira tool. This helps farmers in analyzing and visualizing the effect and when to change the strategy of farming. This paper discuss the importance of using ontology measures for modeling context information and presents the design, implementation and applications of an interpreter based on ontology. The proposed model infers new internal context information and the effect of visualization models in farming.
Noise Standard Deviation Estimation for Additive White Gaussian Noise Corrupted Images using SVD Domain
Authors:   Department of Electronics and Communication Engineering, Sri Ramakrishna Engineering College, P Sridhar , Sathiya R.R ,   Department of Computer Science and Engineering, Amrita School of Engineering, Coimbatore Amrita Vishwa Vidyapeetham ,India.
Published: September 2019

During denoise an image; noise level estimation is one of the most important key factors. The accurate noise level estimation is needed before processing the image. The prior knowledge of noise level estimation is also used for restoring the image without degradation. In this proposed work, the noise level is estimated by observed singular values on noisy images. The proposed work has two new methods for addressing the main challenges of the noise level estimation.1.The tail magnitude value of the noisy images singular values has high compare with signal image. This aspect is used for estimate the noise level. 2. The visual based Gaussian noise estimation is used for preprocessing the many 2D- signals processing application which enhance the range of this work. The experimental result for this noise level estimation provides reliable and also applicable for real time images/frames and some special images such as cartoon. The proposed work is needed a simple processing unit for implementing in hardware and results are more accurate. It can be used to pre-processing all kinds of real time images.
Estimate Reliability Parameters in Bio_Fuel Plant Using Neural Network Architecture
Authors:   Department of Applied Sciences, KIET Group of Institutions, Ghaziabad, India., Gupta Ritu , Ekata  ,   Department of Applied Sciences, KIET Group of Institutions, Ghaziabad, India., Batra C. M. ,   Department of Applied Sciences, KIET Group of Institutions, Ghaziabad, India
Published: September 2019

The world’s ever increasing demand for energy and abating global warming, suitable renewable sources of energy are highly in demand. The wastes from industries such as plant’s biomass could meet the energy requirements. In this paper authors analyze bio fuel plant system which produces ethanol fuel. This system is divided into various subsystems considering multiple phases in the production of ethanol. The structure of this system consists of interconnected networks of components on very large dimensional scales escalates the complexity of systems that can increase the degradation of system's functioning. In view of this, one of the computational intelligence approach, neural network (NN), is useful in predicting various reliability parameters. To improve the accuracy and consistency of parameters, Feed Forward Back Propagation Neural Network (FFBPNN) is used. All types of failures and repairs follow exponential distributions. System state probabilities and other parameters are developed for the proposed model using neural network approach. Failures and repairs are treated as neural weights. Neural network's learning mechanism can modify the weights due to which these parameters yield optimal values. Numerical examples are included to demonstrate the results. The iterations are repeated till the convergence in the error tends up to 0.0001 precision using MATLAB code. The reliability and cost analysis of the system can help operational managers in taking the decision to implement it in the real time systems.
Control of BLDC Motor Air Cooler for Low Voltage DC House
Authors:   School of Electrical Engineering, VIT University, Vellore, India, Reddy Mule Sai Krishna , Elangovan Dr. D. ,   department, School of Electrical Engineering, VIT University, Vellore, India
Published: September 2019

Recent power sector targets on cleaner and sustainable generation and distribution system. This can be done by improving DC based applications for low voltage DC residential homes. During summer air cooling systems are very much useful in reducing the room temperature. Brushless-DC (BLDC) motors are best suited these days as electric motors of fans and air cooling systems with very low power utilization and many other reasons like lesser maintenance, compact and huge gain of torque to volume ratio etc., the control of BLDC motor classified mainly of two types sensor scheme and sensor-less schemes. This paper presents simulation and analysis of two control schemes for BLDC motor drive for air cooling system. The BLDC drive system was developed in MATLAB for both sensor and sensor-less schemes and simulated for different loading conditions.