bluuebunny/crossref_metadata_2025 huggingface dataset:
Hypernatremia in exclusively breastfed term neonates
Authors: Trivedi Pinakin , Patel Ami Himanshu
Published: October 2019

Background: Hypernatremia is known to occur in exclusively breastfed neonates in the first few days of life, and its clinical presentation is usually nonspecific. Early identification and prompt treatment of this condition are necessary to prevent morbidity and mortality. Objective: The objective of the study was to evaluate the clinical features, causative factors, complications, and outcome of hypernatremia in exclusively breastfed term newborns. Materials and Methods: A prospective study of exclusively breastfed healthy term neonates with hypernatremia (serum sodium ?150 mg/dl) was carried out from March 2016 to February 2017. The presenting symptoms, clinical signs, birth and feeding history, and laboratory investigations of the subjects were noted and analyzed. Results: Hypernatremia was noted in 35 (1.6%) of the total term neonates. The condition was more common in babies delivered by cesarean section (34.3%), firstborn neonates (74.3%), and during the summer months (74.3%). Mean age of presentation was 4.06±1.43 days. The most common findings were weight loss ?7 % from the birth weight (74.3%), feeding problems (71.4%), and decreased frequency of urine (60%). Serum sodium levels ranged from 150.5 to 187 mEq/dl. Acute kidney injury was noted in 4 (11.4%) cases. All the patients were discharged, and there was no mortality. Conclusion: Hypernatremia is a common condition in exclusively breastfed neonates. It occurs due to inadequate intake of breast milk by the neonate and is exaggerated in hot environment. Daily weighing of the neonates and monitoring the frequency of urine are important for early detection. Addressing feeding problems early is a simple yet effective measure to prevent this condition.
Hubungan Pemberian Asi Ekslusif, Berat Bayi Lahir Dan Pola Asuh Dengan Kejadian Stunting Di Wilayah Kerja Puskesmas Reubee Kabupaten Pidie
Authors: Agustina Agustina , Hamisah Irma
Published: October 2019

AbstrakRiset Kesehatan Dasar 2018 menyatakan proporsi balita stunting sekitar 39%. Acehmenduduki peringkat ketujuh sebesar 41,5%. Tujuan penelitian untuk mengetahui HubunganPemberian Asi Ekslusif, Berat Bayi Lahir dan Pola Asuh dengan Kejadian Stunting, dengandesain case control, sampel sebanyak 45 balita berusia 24-59 bulan. Analisis datamenggunakan Chi-Square. Hasil penelitian bahwa ada hubungan Pemberian Asi Ekslusif (pvalue=0,001), tidak ada hubungan antara Berat Bayi Lahir (p-value=0,175), Pola Asuh (pvalue=0,189) dengan Kejadian Stunting.Kata Kunci: Stunting, Pemberian Asi Eksklusif, Berat Bayi Lahir, Pola Asuh
Penyuluhan Masyarakat Tentang Masalah Emisi Gas Rumah Kaca akibat Pencemaran Sampah di Dusun V Sumbul Lestari, Desa Sumbul, Kecamatan STM Hilir, Kabupaten Deli Serdang
Authors: Siagian Mindo Tua , Silitonga Evawani Martalena , Silitonga Santo Damerius
Published: October 2019

AbstrakPerlu kita sadari, menjaga kesehatan udara agar tetap bersih dan sehat harus dimulai dari tingkatanmasyarakat terendah seperti masyarakat di daerah dusun. Dimana masyarakat di daerah dusunmemiliki peranan yang sangat penting dalam menjaga kebersihan udara baik dan kesehatan secaraumumnya. Permasalahan udara terhadap kesehatan seperti Infeksi Saluran Pernapasan Akut(ISPA) seperti asma, bronkitis, dan bahkan kanker paru – paru adalah banyak dari permasalahanyang ditimbulkan oleh udara yang kotor. Diperlukan kegiatan penyuluhan kepada masyarakat agardapat mengerti dampak dari pola sehari – hari mereka dalam mengolah sampah. Metode kegiatanyang dipakai dalam kegiatan pengabdian masyarakat ini meliputi, penyuluhan secara langsung.Kata kunci: Pendidikan masyarakat, polusi sampah, gas rumah kaca
Description of the Micro-Loan Program, payment and conclusions
Authors: Oláh Judit , Molnár Tamás
Published: October 2019

The system of microcapital goes back 8 years in Hungary. Its strategy and practice developed at a time when really small enterprises emerged with little practise and even less capital. Specialists organising and executing programs started with microcapital with little experience. This programme provided the young and experienced an opportunity to gain experience they lacked, and seems to have been extremely successful.
Molecular genetic investigations for increasing the production results of farm animals
Authors: Árnyasi Mariann
Published: October 2019

The author analysed the publications related to molecular genetics presented at the 51st annual meeting of the European Association for Animal Production. Her aim was to make the latest molecular genetic results known and to emphasise that this discipline plays an increasingly important role in research and the practical fields of animal breeding and production.
Real-time 6D Racket Pose Estimation and Classification
for Table Tennis Robots
Authors: Gao Yapeng
Published: October 2019

For table tennis robots, it is a significant challenge to understand the opponent's movements and return the ball accordingly with
high performance. One has to cope with various ball speeds and spins
resulting from different stroke types. In this paper, we propose a real-time
6D racket pose detection method and classify racket movements into five
stroke categories with a neural network. By using two monocular cameras, we can extract the racket's contours and choose some special points
as feature points in image coordinates. With the 3D geometrical information of a racket, a wide baseline stereo matching method is proposed
to find the corresponding feature points and compute the 3D position
and orientation of the racket by triangulation and plane fitting. Then, a
Kalman filter is adopted to track the racket pose, and a multilayer perceptron (MLP) neural network is used to classify the pose movements.
We conduct two experiments to evaluate the accuracy of racket pose
detection and classification, in which the average error in position and
orientation is around 7.8 mm and 7.2 by comparing with the ground
truth from a KUKA robot. The classification accuracy is 98%, the same
as the human pose estimation method with Convolutional Pose Machines
(CPMs).
Automotive Radar-based Self Localization Using
Navigation Maps for Autonomous Driving
Authors: Pishehvari Ahmad
Published: October 2019

This paper describes a framework for precise self-localization
using 2D radar scan matching based on a digitalized map. For this purpose, radars, odometers, a gyroscope and a global digital map are combined. Basically estimated ego-motion using motion sensors is improved
using a novel scan matching approach in order to attain globally corrected self-localization results. The matching process is based on map
information, iterative optimization using the Gauß-Helmert-Model and
two novel weighting methods to register the environment map using radar
information. This approach focuses on self-localization in a global frame
without using Global Navigation Satellite Systems (GNSS).
Beside our main innovation of using native non-discretized map lines for
matching we also apply two novel weighting methods to cope with noisy
radar scans for matching problem. By applying the Gauß-Helmert-Model
we also consider the individual measurement uncertainties to make the
approach even more robust against noisy data. Using map lines and data
points categorizes our approach in the point-to-feature scan matching
family. The performance and usability of the proposed approach is evaluated in real-world experiments and compared qualitatively and quantitatively to the state of the art matching methods.
The results illustrate an improvement in precision and computational
demand compared to other point cloud based matching methods.
MODELS OF COST BEHAVIOUR: DETERMINATION OF FUNCTION OF METALLURGICAL PRODUCTION COSTS
Authors: Khmeliuk Alona , Halahanov Vasyl
Published: October 2019

Introduction. Peculiarities of cost behaviour and specificity of their modelling in the production of metallurgical products are considered. It is established that the definition of the volume of costs and cost of metallurgical products is regulated by P (C) BO 16 "Costs" and has sectoral features that involve the application of various methods of accounting for costs and calculating the cost of production. The main external and internal factors influencing the behaviour of expenses are determined. Effective methods for study of the dynamics of expenses at the enterprises of the metallurgical industry are offered. It has been established the following factors: business functions, investigated object of cost calculation and choice of method of cost calculation influence the behaviour of expenses. The function of costs of production of metallurgical products with the help of means of economic and mathematical modelling of correlation and regression analysis is constructed. The use of such cost response indicators as factors of comparison of seasonal behaviour costs and business activity of metallurgical production output has been proved. The prospects of application of the obtained econometric model in the practical economic activity of the enterprise for making effective management decisions both in the short-term and long-term perspective are determined.
Purpose. The article aims to highlight the peculiarities of formation of the accounting information about expenses at the enterprises of the metallurgical industry; to highlight the factors affecting the behaviour of costs; to investigate the behaviour of the expenses of the enterprise of metallurgical products and to develop the economic and mathematical model of total expenses; present the stages of a comprehensive study of cost behaviour.
Method (methodology). Method of system analysis, methods of causal analysis, method of correlation and regression analysis, table and graphical methods, dynamic series method (chain change coefficients) have been used in this research.
Results. Features of cost formation of metallurgical production have been highlighted. The factors influencing the behaviour of expenses taking into account the seasonal component have been presented. The cost function has been developed and complemented by its cost response indicators for the purpose of integrated assessment of cost behaviour and the adoption of effective managerial decisions.
BIOMECHANICS OF THE UPPER LIMB
Authors: Jaworski Łukasz , Karpiński Robert , Dobrowolska Angelika
Published: October 2019

The article presents basics of the human upper limb’s anatomy, including skeletal system, joints and basic division of muscles in the limb. The biomechanics of the upper limb is introduced. The range of performed motions is depicted. The possible applications of anatomy and biomechanics of the upper limb are shown.
Non Invasive Estimation of Glucose by Monitoring Pancreas using NIR Sensor
Authors:   Research Scholar, Dept. of Electronics & Communication Engineering, Dr.M.G.R. Educational and Research Institute, Maduravoyal, Chennai, Tamilnadu., Kavitha* Mrs.G. , Kumar Dr.K.Senthil ,   Professor, Dept. of Electronics & Communication Engineering, Dr.M.G.R. Educational and Research Institute, Maduravoyal, Chennai, Tamilnadu
Published: October 2019

To ensure normal body function, control of blood glucose levels is necessary. A network of various hormones and neuropeptides assure blood glucose. Hormones freed from the brain, pancreas, liver, intestine help to assure glucose level. The pancreas represents a major role in secreting the blood sugar-lowering hormone insulin and its opponent glucagon. However, disturbances in the hormones and peptides involved lead to metabolic disorders such as type 2 diabetes mellitus (T2DM).It is essential to understand the mechanisms underlying the various interactions of biological molecules with blood. Many methods help to measure glucose concentration. To measure the blood glucose level, a new method is proposed through the nanotechnology.
Performance, Combustion and Emission Characteristics of Direct Injection Diesel Engine Fueled With Castor Oil Methyl Esters and Ethanol Blends Equipped With 6 Hole Nozzle
Authors:   Research Scholar, Department of Mechanical Engineering, RajaRajeswari college of Engineering, Bengaluru, Affiliated to VTU, Belgaum/ Assistant Professor, School of Mechanical Engineering, REVA University, Bengaluru,INDIA, reddy N* Varun kumar , Sangashetty S.G. ,   Department of Mechanical Engineering, RajaRajeswari college of Engineering, Bengaluru, Affiliated to VTU, Belgaum, INDIA, Banapurmath  ,   Department of Mechanical Engineering, KLE Technological University, Hubballi, INDIA
Published: October 2019

Depletion of fossil fuel reserves and stringent pollution norms has created a need for search alternate source that can fuel internal combustion engine. The fuels obtained from green matter has got great potential to replace conventional fossil fuels to power internal combustion engine (ICE). But the performance of the ICE are influenced by many parameters such as injector opening pressure, injection timing, and combustion chamber profile. Current work deals with evaluation of engine performance, combustion characteristics of direction injection diesel engine fitted with re-entrant toroidal (RET) combustion chamber equipped with six hole nozzle fueled with castor oil methyl esters (CAOME) and ethanol blends. The peak value of break thermal efficiency (BTE) is found to be 26.34% at 75% load for a blend 80D+5B+15E with minimum emissions and with combustion duration and ignition delay in comparison with diesel.
Design and Development of Wireless Controlled Surveillance Robot using Iot
Authors:   Mechatronics Engineering, Rajalakshmi Engineering College, Chennai, India., D* Keerthana , babu G Naresh ,   Mechatronics Engineering, Rajalakshmi Engineering College, Chennai, India, S B Nivethitha ,   Mechatronics Engineering, Rajalakshmi Engineering College, Chennai, India., K Gayathri ,   Mechatronics Engineering, Rajalakshmi Engineering College, Chennai, India., I Leando ,   Mechatronics Engineering, Rajalakshmi Engineering College, Chennai, India.
Published: October 2019

The aim of the project is to provide a new or modified system in the area of surveillance which is very mandatory in many areas around the world. It can be used in all the areas where surveillance comes into a major aspect. Thus the project functions as a very efficient way for surveillance by providing a video output to the controller and avoiding obstacles automatically. The software used here is Arduino compatible C and the hardware used is SPDuino ATmega 328 board and Ethernet board.
Energy-Efficient Unequal Clustering Routing Algorithm for WSNs
Authors:   Electronics and communication engg., CDLSIET, panniwala mota, Sirsa, Haryana, INDIA., handa* Priyanka , panag Tripatjot singh ,   Electronics and communication engg., BBSBEC, Fatehgarh Sahib, Punjab, INDIA.., Sohi Balwinder Singh ,   Electronics and communication engg., CGC,Gharuan, Mohali, Punjab, INDIA.
Published: October 2019

Wireless sensor networks(WSNs) are used to monitor the environment where the networks are deployed. The Lifetime of WSNs can be increased by energy-efficient or energy balancing algorithms. Balanced energy consumption among all nodes is the main issue. In this paper, a new energy-efficient unequal clustering routing protocol (EEUCR) has been presented. In this protocol, the area of the network is divided into the number of rings of unequal size and each ring is further divided into a number of clusters. Rings nearer to the base station(BS) have a smaller area and the area of rings keeps on increasing as the distance from BS increases. This helps to balance the energy consumption among the sensor nodes. The nodes with heterogeneous energy are deployed in the network. Nodes nearer to the base station have higher energy as compared to farther nodes. Static clustering is used but cluster heads(CHs) are not fixed and are elected on the basis of the remaining energy of the sensor node. Simulation results are compared with existing protocols and show improvement in energy consumption, which, in turn, increases the network lifetime of WSN and also balance the energy consumption of sensor nodes.
5549 Published By: Blue Eyes Intelligence Engineering & Sciences Publication Retrieval Number: C5495098319/2019©BEIESP DOI:10.35940/ijrte.C5495.098319 Journal Website: www.ijrte.org Traffic Violation Detection using Principal Component Analysis and Viola Jones Algorithms
Authors:   School of computing, Sathyabama Institute of Science and Technology, Chennai, India., Mana* Suja Cherukullapurath , Samhitha B.Keerthi ,   Assistant Professor at Sathyabama Institute of Science and Technology, Ms Jithina Jithina Jose. ,   Assistant Professor at Sathyabama Institute of Science and Technology, Venkata Mydam ,   Swaroop is an undergraduate student at Sathyabama Institute of Science and Technology, Reddy Palagiri Chaithanya Kumar ,   undergraduate student at Sathyabama Institute of Science and Technology
Published: October 2019

This paper describes an application to detect traffic rule violation using principal component analysis algorithm(PCA).The proposed system will detect crowded bikes using PCA and Viola Johnson algorithms. The viola-Jones computation is seen as convincing in order to check and focus the face features. The face acknowledgment is strategy of perceiving region of face from a picture of one or different individuals together. The perceived face is removed in the proposed using the viola-Jones estimation. This application uses camera to recognize the amount of faces in the edge which identifies with number of people going in a bike. As indicated by the organization controls only two adults or two adults and one adolescent are permitted to go in a bike. We use Violo Johnes and PCA Algorithm to perceive the appearances to choose the amount of faces in the edge. Consequently the endeavor derives that through this structure we execute OCR to check the number plate to recognize the bike liberating with numerous people. This is a customized system to keep up a vital good ways from the accident by driving past the limited part on bike. At the point when our system perceives the over-trouble vehicle, the number plate of the vehicles is discovered using OCR.
Classification and Prediction of Student Academic Performance using Gray Wolf Optimization Based Relief-F Budget Random Forest
Authors:   CSE, Talla Padmavathi College of Engineering, Telangana, India., Deepika* Kongara , Sathyanarayana Dr. Nallamothu ,   CSE, Nagole Institute of Technology and Sciences, Telangana, India.
Published: October 2019

The student academic prediction model helps to predict the student performance that helps the university to provide necessary care to the particular students. Efficient prediction model helps to encourage the student for better performance in the academic. In this research, the Relief-F Budget Tree Random Forest with Gray Wolf Optimization (RFBTRF-GWO) method is proposed for the feature selection. The Gray Wolf Optimization (GWO) helps to scale the relevant feature with ranking order from the features selected by the Relief-F Budget Tree Random Forest (RFBTRF). The selected features are given as input to the classifier for the effective prediction. The k-Nearest Neighbor (kNN) and Artificial Neural Network (ANN) are used for the classification. The proposed RFBTRF-GWO method is evaluated on the three datasets such as two UCI datasets and one collected dataset. The RFBTRF-GWO has a higher performance accuracy of 96.2 % while the existing method RFBTRF has an accuracy of 70.88 %.
An Improved Area Efficient 16-QAM Transceiver Design using Vedic Multiplier for Wireless Applications
Authors:   Department of Electronics and Communication Engineering, Sri Eshwar College of Engineering, Coimbatore, India., Dhanasekar* S. , Bruntha P. Malin ,   Department of Electronics and Communication Engineering, Karunya Institute of Technology and Sciences, Coimbatore, India., Madhuvappan C. Arunkumar ,   Department of Electronics and Communication Engineering, Vinakaya Misson’s Kirupanada Variyar Engineering College, Salem, India., Sagayam K. Martin ,   Department of Electronics and Communication Engineering, Karunya Institute of Technology and Sciences, Coimbatore, India.
Published: October 2019

In this research article, an improved area efficient 16-Quadrature Amplitude Modulation (QAM) transceiver design is introduced using Vedic multiplier. The 16-QAM design is transmitted using Pseudo Random Binary Sequence (PRBS) and modulated by changeable clock frequencies. The Vedic multiplier uses Urdhva Tiryakbhyam (Vertical and Crosswise) method of multiplication to reduce the undesirable steps and generates parallel partial products. Compressor adders are used in the Vedic multipliers, which helps to increase the speed of multiplication process and reduces the carry delay. Four Compressor adders namely 5-3, 10-4, 15-4 and 20-5 are used in a 16-bit Urdhva Tiryakbhyam Vedic multiplier to add its partial products. The proposed 16-QAM design is implemented using Spartan-3 XC3S200-5 pq208 Field Programmable Gate Array (FPGA) device which occupies 672 slices, 1102 4-input Look up Tables (LUTs) and 39 mW of power consumption. The Vedic multiplier based 16-QAM transceiver design reduces 17.2% slices and 4.5% 4-input LUTs. The 16-QAM is a preferred digital modulation method in the Orthogonal Frequency Division Multiplexing (OFDM) system, which reduces bit errors and noise effects during data transmission. The OFDM transceiver design is used in the high-speed wireless communication by excellence of its Multi-carrier modulation method.
Experimentation on Augmenting Heat Transfer Characteristics of (Ethylene Glycol + Water) Mixture in A Combined (Pipe in Pipe and Shell & Tube) Heat Exchanger
Authors:   PG Scholar. Department of Mechanical Engineering, Lakireddy Bali Reddy College of Engineering (Autonomous). Mylavaram, Andhra Pradesh, India, Prasanna Melam Pavani Venkata Lakshmi , Kumar Pasupuleti Ravindra ,   Professor. Department of Mechanical Engineering, Lakireddy Bali Reddy College of Engineering (Autonomous). Mylavaram, Andhra Pradesh, India, Emmanuel Buradagunta ,   PG Scholar. Department of Mechanical Engineering, Lakireddy Bali Reddy College of Engineering (Autonomous). Mylavaram, Andhra Pradesh, India, Prasad Kadari Lakshmi ,   Asst. Professor. Department of Mechanical Engineering, Lakireddy Bali Reddy College of Engineering (Autonomous). Mylavaram, Andhra Pradesh, India
Published: October 2019

In this research work, the design of pipe in pipe, shell-and-tube and combined heat exchanger (previously mentioned types were combined to consider as one unit) has been made. These three heat exchangers have been utilized for two kinds of flows i.e., parallel as well counter flow types individually. The design of combined heat exchanger takes been proposed with the idea of increasing the heat transfer area and to understand the behavior of various parameters involved by comparing with the individual heat exchangers. 75:25 aqueous Ethylene Glycols, have been used as the working fluid in all three heat exchangers of counter as well parallel flow conditions. Total quantity of working fluid is 12 liters, in which 6liters of fluid is used as cold fluid and the other half is used as hot fluid. As a result, overall heat transfer coefficient (U) has been increased with increase of mass flow rate. Highest overall heat transfer coefficient value observed as 1943w/m2-k at highest mass flow rate (within the considerations of this work) of 0.145 kg/s. The highest decrement in LMTD recorded for 0.0425 to 0.145 increase of mass flow rate is 49.32% in shell-and-tube heat exchanger of parallel flow arrangement. The highest effectiveness is observed for pipe in pipe counter flow heat exchanger case, which is 0.39 at a mass flow rate of 0.145kg/s.
Integration of Statistical Based Texture and Color Feature for Medical Image Retrieval
Authors:   Department of Computer and Information Science, Annamalai University, Annamalai Nagar, India,, Saravanan* A. , Sathiamoorthy* S. ,   Tamil Virtual Academy, Chennai, India
Published: October 2019

Today, the common problem in the domain of computer vision and pattern recognition is content based image retrieval (CBIR). In this paper, a novel image retrieval method using the geometric details based on the correlation among edgels and correlation between pixels has been introduced. The autocorrelation based choridiogram descriptor has been extracted from the image to obtain geometric, texture and spatial information. Color autocorrelogram has been computed to obtain color, texture and spatial information. The proposed method is tested on benchmark heterogeneous medical image database and LIDC-IDRI-CT and VIA/I-ELCAP-CT databases and results are compared with typical CBIR system for medical image retrieval.
Low Cost Bus Alert System for Visually Challenged People
Authors:   Dept. of EEE, Coimbatore Institute of Technology, Coimbatore, India,, A* Kavithamani , K Abhisheik ,   Dept. of EEE, Coimbatore Institute of Technology, Coimbatore, India,, Kumar R Anand ,   Dept. of EEE, Coimbatore Institute of Technology, Coimbatore, India, Kumaran R Anbu ,   Dept. of EEE,Coimbatore Institute of Technology, Coimbatore, India, V Nagamanickam ,   Dept. of EEE, Coimbatore Institute of Technology, Coimbatore, India
Published: October 2019

One of the common problems faced by visually challenged people is their inability to travel alone in public transport services like bus. They have to depend on others to identify the bus at the bus stops. This scenario should be changed. It’s the role of engineers to bring the change in the lives of visually challenged people. A low cost bus alert system for visually challenged people using Radio Frequency (RF) technology is proposed in this paper. Once the appropriate bus arrives near the visually challenged person, he/she will be intimated about the arrival of the bus by an audio message. If the blind person decides to board the bus he can acknowledge the driver by pressing the acknowledgement button in his module. The bus driver will get acknowledged by LED indicator near his cabin. With the help of this project visually challenged commuters can transit without the aid of fellow commuters and their need to depend on others for public transport transit can be reduced.
Statistical Relationship between the Parameters of Some Indexed Journals by Fuzzy Linear Regression
Authors:   Department of Mathematics, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Andhra Pradesh, INDIA, Kumar* Pavan
Published: October 2019

In this paper, we propose a statistical relationship between acceptance rate & first decision time of some indexed journals by applying fuzzy linear regression (FLR). We collect the data from two web sources: Elsevier journal finder, and Springer journal suggester. In this problem, we concentrate on the data of the acceptance rate and first decision time. To examine the relationship between these measures, we apply a statistical approach, which is based on correlation and regression analysis. We determine the relative error (RE) of the data collected. We plot the scatter diagram between the two measures. Pearson correlation coefficient (CC) value is also calculated. All this analysis reports that there is a moderate positive correlation between acceptance rate & first decision time.
FDTD Modeling with Passive Shielding for Crosstalk Reduction in Coupled RLC Interconnects
Authors:   Associate Professor, ECE Dept, BVRITH college of Engineering for Women, Hyderabad, Telangana., Sridevi* Mrs R. , Sekhar Dr. P. Chandra ,   Professor, ECE, University College of Engineering, Osmania University Hyderabad., Kumar Dr.V.R. ,   Associate Professor, ECE, RGMCET, Nandyal, Savithri Dr. T. Satya ,   Professor, ECE, JNTUH College of Engineering, Hyderabad.
Published: October 2019

This paper presents passive shielding technique for crosstalk noise and delay reduction in resistive driven RLC interconnect. FDTD technique is used for modeling proposed geometry. The worst case delay and noise induced due to crosstalk in passive shielded interconnects are compared with unshielded lines and is validated using HSPICE simulations for 32nm global interconnects. From the results it has been demonstrated that the proposed model results and HSPICE simulations differ by 8% and by using proposed geometry crosstalk noise and delay has come down by 90% and 52% when compared to unshielded line.
Comparing K-means, K-medoids and ISODATA Clustering Algorithms for a Cloud Service Search Engine
Authors:   Information Systems Department, Cairo University, Cairo, Egypt., Reda* Walaa , Elazhary Hanan ,   College of Computer Science and Engineering, University of Jeddah, Jeddah, Saudi Arabia; Computers and Systems Department, Electronics Research Institute, Cairo, Egypt., Hassanein Ehab ,   Information Systems Department, Cairo University, Cairo, Egypt.
Published: October 2019

The evolution of cloud computing over the past few years is potentially one of the major advances in the history of computing. Cloud computing theoretically provides all computing needs as services. Accordingly, a large number of cloud service providers exist and the number is constantly increasing. This presents a significant problem for a user to find a relevant service provider, and calls for developing a specialized search engine to help users select suitable services matching their needs. Towards this goal, we developed a search engine that crawls the web sites of various service providers, extracts service attributes from their JavaScript Object Notation (JSON) files and normalizes the attributes in a service table. Those attributes are clustered using one of three different algorithms (K-means, K-medoids, and ISODATA). The requirements of a given user are then matched against the centroids of the various clusters to help obtain the closest match. In this paper, we compared the three algorithms with respect to time and accuracy. The ISODATA algorithm exhibited the best performance.
Detecting Intrusion with High Accuracy: using Hybrid K-Multi Layer Perceptron
Authors:   Assistant Professor, Department of Computer Science and Engineering at SoET, BGSB University Rajouri (J&K)., Dogra* Amit , Dr. Taqdir  ,   Assistant Professor, Department of Computer Science and Engineering, Guru Nanak Dev University, R/C Gurdaspur.
Published: October 2019

The intrusion detection is the mechanism by which abnormality from the state driven dataset is discovered. The intrusion causes the problem of false discovery that mislead overall result. The resources from server may not be accessed by the use of intrusion be malicious users. The propose mechanism of Self organizing KMLP technique to discover abnormal patterns from the dataset. The dataset is synthetically derived to demonstrate the experimental work. The operation is demonstrated against K-Map clustering. The result is presented in terms of classification accuracy, number of attacks and execution time and result shows significant improvement by the margin of 10%.
Relationship between Parent Involvement and Achievement in Mathematics of Higher Secondary First Year Students in the Coastal Area
Authors:   Assistant Professor in Mathematics Education, Mar Osthatheos Training College, Perumpilavu, PI* Varghese , Suthanthira Devi Dr.K.B. Jasmine ,   Dean & Head of the Department of Education at PRIST Deemed to be University, Thanjavur Campus.
Published: October 2019

Higher Secondary Education stage plays a very significant role in one’s life and is a basic stone on which one builds a beautiful castle of future higher education. The present study is to find out how parent involvement influences the achievement in Mathematics of higher secondary first year students in the coastal area of Kerala. The investigator adopted normative survey method for the study. A sample of 100 students of both Government and Aided Higher Secondary Schools was selected by random sampling technique. The statistical techniques such as Percentages and Chi-square employed. The result of the study can be made available to the parents of coastal area so that they can involve themselves in the learning process of their wards.
Performance Evaluation of New Adder Designed for Electronic Circuits
Authors:   Department of Electronics and Communication Engineering, KIT-Kalaignarkarunanidhi Institute of Technology, Coimbatore, India, Gowrishankar* R. , Sathishkumar Dr.N. ,   Department of Electronics and Communication Engineering,, Sri Ramakrishna Engineering Collegey, Coimbatore, India., Senthilkumar Dr.B. ,   Department of Electronics and Communication Engineering, KIT-Kalaignarkarunanidhi Institute of Technology, Coimbatore, India.
Published: October 2019

Arithmetic and Logic Unit (ALU) is the important module in any digital system utilized in the current world applications. Adder plays major role in the construction of any ALU. Multipliers can also be designed with the help of continuous addition. The efficient design of adders is very much needed for the efficient ALU design. Parallel prefix adder has been chosen in this research because of its fastest computation and efficiency. Kogge Stone, Sklansky, Ladner Fischer, Brunt Kung, Han-Carlson and Knowles are the adders discussed in this research. Further, the combinations of any two adders have also been tested for the best efficiency in terms of power consumption and delay utilisation. From the many combinations, it is found that the proposed combination of Bruntkung and SKlansky (BSK) adder performs excellent with the power consumption of 25011.22 nW and delay of 1243 pS.
The Sources and Practice of Economic Activity of Young People in Social Networks
Authors:   Volgograd State University, Universitetsky Av., 100, 400062, Volgograd, Russian Federation, Vasilieva* Ekaterina , Vasiliev Evgeniy ,   Volgograd State University, Universitetsky Av., 100, 400062, Volgograd, Russian Federation, Danilova Elena ,   Volgograd State University, Universitetsky Av., 100, 400062, Volgograd, Russian Federation, Poltavskaya Mariya ,   Volgograd State University, Universitetsky Av., 100, 400062, Volgograd, Russian Federation
Published: October 2019

The spread of new types of economic activity of young people in social networks is closely related to the growth of information and communication technologies and the formation of the digital economy, with the development and implementation of a large number of innovations. The paper investigates the factors of development and the consequences of the economic activity of young people (freelancers) on the Internet, in social network "VKontakte". The relevance of the research problem coheres with the fact that the implementation of the national program "Digital economy of the Russian Federation" is based not only on economic indicators of digital economy growth (indicators are published annually in the statistics digests of the Institute of Statistic Studies and Economics of Knowledge and the National Research University "Higher School of Economics"). The national program also takes into consideration sociological research of new forms of economic activity of young people, which raises many research problems further outlined. What is the motivation behind the formation of new practices? What are the challenges young people face using social networks for their economic activity? Probably, the most important issue is discovering the specifics of the economic behavior of young people using the opportunities of the digital economy. The article draws an inference concerning the correlation between new practices of economic behavior and the intensification of economic activity of young people.
An Experimental Research on Design and Development of Tricopter
Authors:   Automobile department, Parala Maharaja Engineering College, Berhampur, India., Das Mr. Suman Kumar , Gouda Dinesh Kumar ,   Automobile department, Parala Maharaja Engineering College, Berhampur, India., Dash Anirudha ,   Automobile department, Parala Maharaja Engineering College, Berhampur, India.
Published: October 2019

The paper is giving a detail description on the design and simulation of tricopter. As the tricopter runs on the newton third law of motion and thrust forces so the paper discussed the detail procedure to calculating the principle fundamental forces acting on the tricopter. This research paper presents the design steps for a tricopter with the use of motor, propeller, battery, flight controller and power distribution board. The CAD design of tricopter helps to visualise the major flight component of tricopter and its orientation. The major advantage of this tricopter is that it can balance various flight parameters like aileron, rudder and throttle. The application of this tricopter includes fire service, military surveillance, product delivery system and medico application. The objective is to provide the summary of design, calibration, and fabrication of the tricopter.
Multi-Objective Optimization of Hybrid Power System using Magnetotactic Bacteria Moment Migration Optimization Algorithm
Authors:   Assistant Professor, Electrical and Electronics Engineering Department, Vaagdevi College of Engineering, Warangal, India, Kumar* K. Ranjith , Kalavathi M. Surya ,   Professor, Electrical and Electronics Engineering Department, Jawaharlal Nehru Technological University, Hyderabad, India.
Published: October 2019

Alternative energy sources are more attractive now a day because of the vanishing of conventional sources in the next few decades, energy crisis and environmental effects. Solar PV and wind are the two emerging sources among the existing renewable energy sources. However intermittent nature and system cost are the two main limitations of renewable sources. Therefore hybridization of photovoltaic, wind with battery can overcome this drawback and improves the reliability as well as efficiency to some extent. The objectives considered in this work are to minimize the hybrid system cost and maximize the energy generation from PV and Wind with a new constraint of Grid Dependency Ratio (GDR). A new multi-objective optimization method is suggested in this work to achieve the aforementioned objectives. The proposed algorithm shows the quick convergence, improved accuracy and minimum processing time compared to the Particle Swarm Optimization algorithm.
A Visiting Center based Energy Efficient Data Collection Method for WSN
Authors:   Research Scholar, Department of ECE, JNTU Kakinada, Andhra Pradesh, India., Rambabu* Ch. , Prasad Dr. V.V.K.D.V. ,   Professor, Department of ECE, Gudlavalleru Engineering College, Gudlavalleru, Vijayawada, Andhra Pradesh, India., Prasad Dr. K. Satya ,   Rector, VFSTR deemed to be University, Guntur, Andhra Pradesh, India.
Published: October 2019

Due to the profits raised due to the exploitation of the sink mobility for enlarging the life span of the network made the WSNs highly recognizable. Various complications and restrictions can be seen in the sensing field during the practical conditions. Hence, all the developers faced a challenge for acquiring the efficient outcome for mobile sink to determine the shortest path which can overcome all the complications and restrictions. The main aim of this paper is to give a clear explanation about the energy-efficient routing strategy on the basis of the cluster-based technique, for sinking the mobiles in the WSNs with complications. In this cluster-based technique, the nodes which are chosen as a cluster heads gather the information from the cluster members then send the information which is being gathered towards the mobile sink. Here, initially the data collection is initiated by the mobile sink through the periodical route from the initial site and at that time collects the information directly from all the cluster heads in a range known as single hop range, and in the end go back towards the initial point. Intended for the mobile sink, this design utilizes a procedure for determining shortest route through which one can avoid the obstacles. The algorithm is existing system algorithm whose name is heuristic tour planning algorithm. Anyhow, because of the complications of the programing issue in WSNs by means of obstacles and vast tour time, the conventional algorithms are bit challenging for solving. For overcoming this issue, the developers projected a strategy known as a visiting center based energy efficient data collection strategy. On the basis of the information and data which is being collected by them, they presented an algorithm. The name of the algorithm is visiting center algorithm. This algorithm is used in mobile sink. This helps in determining the route and path for cluster heads and collecting the information from the cluster heads and stores them safely. The data gathering route is initiated in a periodical way from the beginning stage which is the primary work of the mobile sink node, and at that time the information is collected by it from the VC’s in the single hop range and lastly gets back to the initial stage. The efficiency of this technique can be clearly observed in the simulation results. The software utilized here for making the process of simulation is NS2 software. This software efficiently verifies the efficiency and effectiveness of the technique.
Auditing Deployed Software Licenses on Cloud using a Secure Loopback Protocol
Authors:   Dept. of CST, EIEM, Kolkata, India., Chakraborty Srabanti , Bose Dr. Rajesh ,   Simplex Infrastructures Limited, Kolkata, India., Roy Dr. Sandip ,   Dept. of CSE, Brainware University, Kolkata, India., Sarddar Dr. Debabrata ,   Dept. of CSE, University of Kalyani, Kalyani, India.
Published: October 2019

The rapidly growing cloud-centric focuses among organizations and enterprises have thrown into sharp relief the pressing need to progressively upgrade security within a cloud infrastructure. While a significant portion of threat perception emanates from malicious software that can infiltrate a cloud computing infrastructure, the risk of unlicensed software deployments in infrastructure-as-a-service model can expose an affected cloud service provider to a host of legal and statutory issues. The task of managing software licenses and conducting license validation checks can be an intense activity. The onus of tracking and managing licenses of software that have been deployed on an infrastructure-as-a-service cloud model is on both cloud service provider as well as its customers. However, the business of effectively managing software licenses is contingent upon the ease and use of an effective license auditing management tool to which auditors can connect through a secure conduit. In this paper, we propose a model that would allow cloud service providers to securely track software deployments and tally corresponding usage of appropriate licenses within an infrastructure-as-a-service model. Using the proposed model a cloud service provider can match all software licenses that have been deployed by a customer within the IaaS cloud space allotted. Further, a license auditor can securely connect to cloud service provider’s console and generate reports on license usage and software deployments from any modern browser. At the core of our model, lies a secure loopback connection framework that prevents access to any other web site once a secure connection to the primary console for monitoring and tracking software deployments has been established.
An IoT-based Smart Orchard Monitoring System by Employing Wireless Sensor Networks
Authors:   Department of Electronics and Communications Engineering, Gokongwei College of Engineering, De La Salle University, Manila, Philippines., Magsino* Elmer R.
Published: October 2019

In this study, an IoT-based smart orchard monitoring is proposed to gather and transmit environment data from a sensor node to a central node for necessary and relevant actuation in order to have good produce at the soonest amount of time. Wireless sensor motes are deployed based on a simple linear pattern across a square farm and only require the minimum set of specifications to monitor its surrounding. On the other hand, the central nodes will require more processing power, memory and power requirements. Sensor and central nodes communicate in a line-of-sight method and follows a deterministic routing table based on the sensor node’s four neighbors. Throughput, latency, and energy consumption results are presented to allow designers and farmers consideration and freedom on how to select which routing protocol can be used to achieve their target objectives.
A Breast Cancer Detection using Image Processing and Machine Learning Techniques
Authors:   Department of Electronics and Communication Engineering, JSS Academy of Technical Education, Bangalore, India., A G* Neela , Gayathri Dr. S ,   Department of Electronics and Communication Engineering, JSS Science & Technological University, Mysuru, India., K Dr. Jayashree ,   Department of Pathology, JSS Research niversity, Mysuru, India.
Published: October 2019

Routine breast cancer screening allows the disease to be diagnosed and treated prior to it causing noticeable symptoms. During the diagnosis process there are chances of wrong detection hence a less human interfaced system has to be developed, hence the goal of breast cancer detection using machine learning techniques is used to find it before it spreads to the larger extent. Screening refers to tests and exams used to find a disease in people who don’t have any symptom. Early detection means finding and diagnosing a disease earlier than waiting for symptoms to start causing the effect on the neighboring cells. The breast cancer is the second most death causing cancer in humans, one in every ten women are affected by the breast cancer. Breast cancer is not only affecting the women. Men are also prone to get affected by the breast cancer but in smaller rates because of the absence of milk ducts and other lobules related to women. Early detection of the breast cancer helps in reducing the death rates if treated earlier and by proper diagnosis. In this paper the discussion of the various image processing technique done on the image and the CNN, SVM algorithm implementation on dataset images for the classification of malignant and non malignant cells are used and various tests were performed using different other machine learning algorithms and there level of accuracy and difference of various parameters are discussed for image processing MATLAB coding is used.