bluuebunny/crossref_metadata_2025 huggingface dataset:
Identification of Duplication in Questions Posed on Knowledge Sharing Platform Quora using Machine Learning Techniques
Authors:   Department of Information Technology, SSN College of Engineering, Kalavakkam-603110, India, Rishickesh* R. , Kumar R.P. Ram ,   Department of Information Technology, SSN College of Engineering, Kalavakkam-603110, India, Shahina A. ,   Department of Information Technology, SSN College of Engineering, Kalavakkam-603110, India, Khan A. Nayeemulla ,   School of Computing Science and Engineering, VIT University, Chennai-600127, India
Published: October 2019

Quora, an online question-answering platform has a lot of duplicate questions i.e. questions that convey the same meaning. Since it is open to all users, anyone can pose a question any number of times this increases the count of duplicate questions. This paper uses a dataset comprising of question pairs (taken from the Quora website) in different columns with an indication of whether the pair of questions are duplicates or not. Traditional comparison methods like Sequence matcher perform a letter by letter comparison without understanding the contextual information, hence they give lower accuracy. Machine learning methods predict the similarity using features extracted from the context. Both the traditional methods as well as the machine learning methods were compared in this study. The features for the machine learning methods are extracted using the Bag of Words models- Count-Vectorizer and TFIDF-Vectorizer. Among the traditional comparison methods, Sequence matcher gave the highest accuracy of 65.29%. Among the machine learning methods XGBoost gave the highest accuracy, 80.89% when Count-Vectorizer is used and 80.12% when TFIDF-Vectorizer is used.
Groundwater Quality Analysis of Hard Rock Terrain in Bengaluru North Taluk, Karnataka, India.
Authors:   Assistant Professor, Civil Engineering Department, NMIT, Bangalore-560064, Karnataka, India., Prabhu* Nanjundi , Inayathulla Dr.M. ,   Professor, Civil Engineering Department, UVCE, Bangalore-560056, Karnataka, India.
Published: October 2019

In the present study analysed Groundwater quality of Hard rock terrain in Bengaluru North, Karnataka, India. For the present study areas affected by industrialization were selected to measure the quality of Groundwater for determining its fitness for domestic use. Bore well samples from each part of the study area were analysed for Physio - chemical variations and quality of groundwater. Comparison of Physio - chemical analysis results with Indian Standard drinking water limits shows that all groundwater samples except few are fit for drinking and irrigation purposes. The average value of pH of five villages is 7.5-8.0 which is within desired limit. However, the pH value is increasing so it may be unfit for the future use. About 50% of Water samples containing chloride in excess of 250mg/l are considered undesirable for drinking purposes which may lead to cardiovascular diseases. The concentration of sulphate for each sample of villages is within desirable limit. Also it is found that 25% of samples containing total hardness more than 300 mg/l which is undesirable. In future there may be threat of decrease in groundwater quality. Public awareness must be created among the citizens about the importance of lakes/tanks and give awareness about importance of quality of Groundwater and surface water.
Real Time Class Based Encryption for Efficient Data Security in Cloud Environment using User Profile
Authors:   Research Scholar Dept. of Computer Science, Bharathiar University, Coimbatore, Tamil Nadu, India., S* Kumaresan , Shanmugam Dr. Vijayaragavan ,   Professor and Head Dept. of Computer Science, Muthayammal Engineering College, Rasipuram, Tamilnadu, India.
Published: October 2019

The data security in cloud has been well studied towards the data present in the cloud environment. Number of techniques has been discussed earlier and each produces different performance results in data security. But still there are gaps in performance in security which should be optimized. To improve the security performance, an efficient class based encryption (CBE) with User profile (UP) is presented. The proposed CBE-UP method groups the cloud data at attribute level based on the importance mentioned in the taxonomy. The data taxonomy covers various information related to the attribute of any data point like their sensitivity, importance in different class and so on. According to the taxonomy, the method estimates the Class Sensitivity Measure (CSM) for each attribute, which has been used to classify the data attribute. Further, for each Attribute class, the method generates different key from the key set and assigns various scheme to perform encryption and decryption. The selection of key and method has been iterated at each time window. The performance of data security has been improved and reduces the network overhead in distribution of keys to the registered users.
Image De-noising using Optimized Self Similar Patch based Filter
Authors:   Associate Professor, Department of Computer Science and Engineering, Saveetha School of Engineering, SIMATS, Chennai, India., Gayathri* A. , Christy S. ,   Assistant Professor (SG), Department of Information Technology, Saveetha School of Engineering, SIMATS, Chennai, India
Published: October 2019

Emerging trends in the widespread use of technology has led to proliferation of images and videos acquired and distributed through electronic devices. There is an increasing need towards capturing high fidelity images and filtering of the concomitant noise inevitable in the capture, transmission and reception of the same. In this paper, we propose an OPSS (Optimized Patch based Self Similar) filter that exploits concurrently the photometric, geometric and graphical patch similarities of the image. This model recognizes similar patches to segregate the corrupted from the uncorrupted pixels in an image and improve the performance of denoising. Photometric patch similarity is established by using Non-Local Means Decision Based Unsymmetrical Trimmed Median (NLM-DBUTM) filter, which computes weights based on the reference patch. The geometrical patch similarity is done through the K-means clustering and graphically similar patches are identified through Ant Colony Optimization (ACO) technique. These “three similarities” based models have been taken advantage of and combined to arrive at a more comprehensive and effective denoising. The results obtained through the OPSS algorithm demonstrate improved efficiency in removing Gaussian and Impulse noise. Experimental results demonstrate that our proposed study achieves good performance with respect to other denoising algorithms being compared. Experimental results are based on performance measure (evaluation parameters) through Peak Signal to Noise Ratio (PSNR), Mean squared error (MSE) and Structural Similarity Index Measure (SSIM).
Supervised Multilevel Clustering for Rainfall forecasting using Meteorological data
Authors:   Information Science and Engineering, A.P.S College of Engineering, Begaluru, India., N* Shobha , T Dr Asha ,   Computer Science and Engineering, Bangalore Institute of Technology, Bengaluru, India.
Published: October 2019

Atmospheric science focuses on weather processes and forecasting. Numerical and statistical analysis plays an important role in meteorological research. Meteorological data will be used to predict the changes in climatic patterns by using forecasting models and weather forecasting instruments. Data mining techniques have more scope to discover future weather patterns by analyzing past weather dimensions. In our study two techniques Multiple Linear Regression (MLR) and Expectation Maximization (EM) clustering algorithms are combined for rainfall forecasting. MLR interprets most important parameters of rainfall for clustering algorithm. EM clustering algorithm will find correctly and incorrectly clustered instances when applied on selected partitioned attributes. The model was able to forecast less rainfall, medium rainfall and high rainfall by analyzing past meteorological observations. Standard deviation is used as a measure of error correction to improve the cluster results. Data normalization helps to improve model performance. These findings are useful to determine future climate expectation.
Design and Fabrication of Beach Cleaning Machine
Authors:   Professor,Department of Mechanical Engineering, Sri Krishna College of Engineering and Technology, Coimbatore, India., Ramamoorthi* R. , Ramachandran N. ,   Asst.Professor, Department of Mechanical Engineering, Sri Krishna College of Engineering and Technology, Coimbatore, India., PD Nikiles ,   UG Student, Department of Mechanical Engineering, Sri Krishna College of Engineering and Technology, Coimbatore, R Jayasurya ,   UG Student, Department of Mechanical Engineering, Sri Krishna College of Engineering and Technology, Coimbatore, MD Natheesh ,   UG Student, Department of Mechanical Engineering, Sri Krishna College of Engineering and Technology, Coimbatore, Biju Nithin K ,   UG Student, Department of Mechanical Engineering, Sri Krishna College of Engineering and Technology, Coimbatore
Published: October 2019

The beach cleaning machine is a vehicle that can be used to pick up rags from the shores thus keeping the beaches clean. A great number of people visit beaches very often for relaxation and recreation. People throw plastics quite often on shores without knowing the consequences. This results in environmental pollution which affects the marine environment and increases the risks of diseases. In order to overcome this we have designed and fabricated a beach cleaning machine that will clean the beaches by picking up rags with minimal human effort. Here, we have incorporated an Arduino board and developed an app through which we will be able to control the operations of the machine within a range of 10 meter through Bluetooth. A 3-D model of the design has been developed and analysis has been performed. The machine developed is a cost efficient vehicle with high efficiency and also user friendly.
Information, Pedagogical and Facilitation Technologies in Teaching a Special Philology Class at Non-Specialized Faculties of Higher Education Institutions
Authors:   Department of Theory and Methods of Primary and Pre-School Education, Candidate of Philological Sciences, Associate Professor, Naberezhnye Chelny State Pedagogical University, Naberezhnye Chelny, Russia, Grakhova* Svetlana , Fayzrakhmanov Irek ,   Department of Theory and Methods of Vocational Education, Candidate of Pedagogical Sciences, Associate Professor, Kazan Federal University, Elabuga Institute, Elabuga, Russia, Zhundibayeva Aray ,   PhD, Head of the Department of Kazakh literature, Shakarim state University of Semey (SSUS), (State University named after Shakarim of city Semey), Kazakhstan., Yakutina Marina ,   Assosiate professor, Financial University under the Government of the Russian Federation, Moscow, Russia., Sharipov Rifat ,   Kazan National Research Technical University named after A. N. Tupolev - KAI, Kazan, Russian Federation, Stepykin Nikolay ,   PhD, Head of the Department of Theoretical and Applied Linguistics, Southwest state University, Kursk
Published: October 2019

The article describes several technologies of teaching a special class "Psychology of Folklore and Psychologism in Classical Russian Prose Fiction" at non-philology faculties of higher education institutions. The article presents information pedagogical technologies, reveals insights into the meaning and advisability of using facilitation technologies in organizing and conducting multi-level classes at a higher education institution, and contains methodology guidelines for carrying out project activities. The article also describes in detail the methods of organizing a class activity aimed at studying a writer’s biography that are based on facilitation technologies. The group activities are based on "The World Café" model that makes it possible to process and comprehend a large amount of information, as well as to model or make up a plan of further activities on studying the works of an author in question. "Group memory", one of a facilitator’s main tools, is used to maintain the thinking process in groups.
Properties Of Ferro-Geopolymer Mortar Slab Panels
Authors:   Civil department, P.D.A College of Engineering , Kalaburgi, India., Satyanarayana*  , Patil Dr. Suresh G. ,   Civil department, P.D.A College of Engineering , Kalaburgi, India.
Published: October 2019

The purpose of this experimental research is to study the flexural behavior of Ferro-Geopolymer slab panels. Initially the ratio of binder to fine aggregate (1:2, 1:2.5, 1:3) and the ratio of Na2SiO3/ NaOH solution (2.5) is considered. The different combination of Fly ash and GGBS were considered. Ratio of alkaline liquid to binder ratio is fixed as 0.45. The Geopolymer mortar mix that gives compressive strength nearly equal to M20 grade concrete target mean strength was used to cast Ferro-Geopolymer slab panels. A slab of size (1000X1000X30) mm were cast of both ferrocement and Ferro-Geopolymer slab panels with two types of mesh were used such as square woven and square welded with single and double layers. Based on the results of slab load vs deflection of both types of meshes were compared from the characteristics of such as first crack load and ultimate load.
Integrating Wireless Sensor Networks with Cloudcomputing
Authors:   Professor and Head, Department of CSE, Srinivasa Ramanujan Institute of Technology, Ananthapuramu, India., Reddy* Dr. G K Venkata Narasimha , Reddy Dr. B. Lakshmi Narayana ,   Professor, Department of CSE, Srinivasa Ramanujan Institute of Technology, Ananthapuramu, India., Babu Dr. E. Suresh ,   Assistant Professor, Department of CSE, NIT Warangal, Telangana, India., Prakash Mr. P. Veera ,   Assistant Professor, Departmentof CSE, Srinivasa Ramanujan Institute of Technology, Ananthapuramu, India.
Published: October 2019

wireless sensor network (WSN) is an unmistakable innovation for a long while. In most genuine applications, the immense measure of information assembled utilizing sensors are required to be put away and be made accessible for whenever, anyplace get to. However, WSNs are made out of asset obliged gadgets which absence of abilities to store gigantic lump of information and perform ensuing preparing of the information. WSNs can be increased by cloud condition which offers such administrations. Thus, a Sensor-Cloud structure is imagined in this proposition coordinating remote sensor connect with cloud condition. The coordinated system is appropriate for versatile and unavoidable figuring applications empowering Internet of Things (IoT) and planned to be utilized in genuine applications. Creating countries need proportionate social insurance conveyance answers for serve gigantic populace. This proposition features the issues identified with medicinal services conveyance that might be tended to utilizing the incorporated system. It might be utilized for empowering individuals, networks, medicinal services associations to gather and transmit wellbeing data as and when required so as to improve social insurance administrations for the provincial and urban populace. Inside the IoT empowered structure, few difficulties are recognized for examination. This theory stresses on difficulties including remote sensors and gives specialized answers for these difficulties. WSNs ordinarily work on IEEE 802.15.4 standard utilizing exclusive conventions which includes structure and the board unpredictability when combined with Internet. This postulation furnishes answer for coordinate sensor worldview with cloud condition which depends on
Ensuring the Accessibility of Hospitality Services and Public Catering For Persons with Disabilities of Health
Authors:   Minin Nizhny Novgorod State Pedagogical University, E.E.* Egorov , E.A. Semakhin ,   Minin Nizhny Novgorod State Pedagogical University, E.V Romanovskaya ,   Minin Nizhny Novgorod State Pedagogical University, Z.V. Smirnova ,   Minin Nizhny Novgorod State Pedagogical University, N.S Andryashina ,   Minin Nizhny Novgorod State Pedagogical University, S.V. Semenov ,   Nizhny Novgorod State University of Engineering and Economics, N.V. Provalenova ,   Nizhny Novgorod State University of Engineering and Economics
Published: October 2019

The article examines the current condition, problems, and prospects of the development of hospitality and catering sphere for people with disabilities. The subject of the article in modern conditions is relevant and important in the development of promising areas of modernization of hospitality and catering enterprises that take into account the requirements for an accessible environment for people with disabilities. The authors see the purpose of the study in developing a method for analyzing the effective use of equipment at hospitality and catering enterprises for people with disabilities. The authors consider theoretical aspects of development and implementation of analysis methods. The article proposes a comprehensive solution to eliminate violations in the organization of a barrier-free environment for people with disabilities. Suggested the necessary list of business processes to monitor the effectiveness and quality of care for people with disabilities. This confirms the practical significance of the study. The authors propose a method for analyzing the coefficient of effective use of equipment and define an area of application of this method. The proposed methodology will allow a comparative analysis between hospitality and catering enterprises to identify best practices for working with people with disabilities. Businesses which are using the proposed technique will have a competitive advantage to attract a larger percentage of consumers and increase the economic efficiency.
A Scalable Business Intelligence Decision-Making System in the Era of Big Data
Authors:   Laboratory of Information Technology and Modeling, Hassan II University, Faculty of sciences Ben M’Sik. Casablanca, Morocco., Kalna Fatima , Erraissi* Allae ,   Laboratory of Information Technology and Modeling, Hassan II University, Faculty of sciences Ben M’Sik. Casablanca, Morocco., Banane Mouad ,   Laboratory of Information Technology and Modeling, Hassan II University, Faculty of sciences Ben M’Sik. Casablanca, Morocco, Belangour Abdessamad ,   LTIM, Hassan II University. FSBM. Faculty of sciences Ben M’Sik. Casablanca, Morocco.
Published: October 2019

Transformation presents the second step in the ETL process that is responsible for extracting, transforming and loading data into a data warehouse. The role of transformation is to set up several operations to clean, to format and to unify types and data coming from multiple and different data sources. The goal is to get data to conform to the schema of the data warehouse to avoid any ambiguity problems during the data storage and analytical operations. Transforming data coming from structured, semi-structured and unstructured data sources need two levels of treatments: the first one is transformation schema to schema to get a unified schema for all selected data sources and the second treatment is transformation data to data to unify all types and data gathered. To ensure the setting up of these steps we propose in this paper a process switch from one database schema to another as a part of transformation schema to schema, and a meta-model based on MDA approach to describe the main operations of transformation data to data. The results of our transformations propose a data loading in one of the four schemas of NoSQL to best meet the constraints and requirements of Big Data.
SPSS as a means for Scientific Analysis in Social Science Research
Authors:   Assistant Professor, University of Science and Technology, Meghalaya, India., Hazarika* Dr. Joyjit
Published: October 2019

SPSS (Statistical Package for the Social Sciences) is an innovative computerized programming for statistical analysis, specially developed for the social sciences research. Now a day, it is widely used particularly in the huge data analysis. SPSS is a software through which researcher can understand the human behavior, the role and influence of the organization, etc. including the analytic thinking of several indicators of society in a scientific way. Currently, this software is widely exercised by the business hubs, market analysis agencies, and educational institutions and even by the government itself. Simply, we can aver that it assists the researcher in concerning to the documentation of the data. It is a full package software encompasses all forms of statistical analysis which is efficaciously able to convert the quantitative data to qualitative analysis. This present paper is an effort to understand the usability, difficulties and shortcomings of the SPSS software in the social science research.
A Novel Depth-Check Algorithm to Detect Macular Hole from Optical Coherence Tomography Images
Authors:   Research Scholar, Bharathiar University, Coimbatore, India., Anand* M. , Jayakumari Dr.C. ,   Associate Professor, Middle East College, Oman.
Published: October 2019

Macular hole is a tear or opening forms in the macula. A macular hole forms a dark spot in the central vision and affects central vision, in this case the vision will be blurry, wavy or distorted. Macular hole commonly affects aged people. Optical coherence tomography enables accurate diagnosis of macular hole. Existing algorithms are also done related to finding layers, but macular hole identification in an accurate manner is still a missing entity. Hence we proposed a fully automated algorithm named “depth-check” for the accurate macular hole detection. The proposed method has six modules in process. First it starts with preprocessing the image, followed by nerve fiber layer (NFL) segmentation. The segmented image is then processed using depth-check algorithm. It will help to identify the macular hole from the optical coherence tomography images. For evaluation, we applied the algorithm on the optical coherence tomography images with the subjects- Central serous chorioretinopathy (CSCR) and Pigment epithelial detachment (PED). By experimentation, it is observed that the proposed algorithm provides 91% accuracy.
Enhanced Framework for Ensuring Privacy Preserving Image Retrieval in Cloud
Authors:   Professor, Computer Science & Engineering Department, Rajeev Gandhi Memorial College of Engineering & Technology (Autonomous) , Andhra Pradesh, India., Gothwal* Jitendra Kumar , Reddy Kunam Subba ,   Professor, Computer Science & Engineering Department, Rajeev Gandhi Memorial College of Engineering & Technology (Autonomous), Andhra Pradesh, India
Published: October 2019

Large scale of images data sets are being produced every day by various digital devices. Due to huge computational jobs make people seizure to cloud platforms for their efficient & economical reckoning resources. These computing platforms in which assets are provided as services of the internet. Sensitive information stored in cloud makes more challenging in data security and access control. Once data is uploaded to cloud-platform, the privacy and security of image-data fully depend and believe upon cloud service provider honesty. Our proposed work deals with securing image where high protections are applied on multimedia contents. This paper deals with studies security challenges algorithms lies in image at the time of constructing cloud platform. In this a new enhanced security technique investigated, includes secure by using computation and encryption, act as a security information guard for high secrecy in cloud platform data storage areas. In our research work, cipher-text image is created and performing encryption-decryption at User level. Data hiding and ECC (Elliptic curve cryptosystem) based watermarking technique at cloud computing platform.
Safe operation of Induction Motor with Programmable Logic Controller and Human Machine Interface
Authors:   Department of Electronics and Instrumentation Engineering, Kongu Engineering College, Erode, Tamil Nadu, India., Prasad* S. J. Suji , Suganeh R. ,   Department of Electronics and Instrumentation Engineering, Kongu Engineering College, Erode, Tamil Nadu, India., kumar R. Suresh ,   Department of Electronics and Instrumentation Engineering, Kongu Engineering College, Erode, Tamil Nadu, India.
Published: October 2019

Energy efficiency of Induction motor (IM) is essential in the current scenario due to the reasons such as energy conservation and economic saving. In this project, the implementation of the safe speed control of IM is done. The Programmable Logic Controller (PLC) monitors the speed and trips the motor under safety requirements. PLC is used to control three phase IM with the Variable Frequency Drive (VFD). The availability of drive data and software helps to manipulate and analyze process the information. The Human Machine Interface (HMI) is used for the visual monitoring and control of the induction motor. The PLC based control platform makes system to be communicated to other devices on network and makes the system more flexible for its operation and control. The results shows that, the speed of the induction motor varies linearly with the change in frequency in HMI and the motor trips if there is any human interference within 10 cm operating range of IM.
Institutional Environment of Internal Controls in Autonomous Establishments
Authors:   Ph.D., Associate Professor of the Accounting, Analysis and Audit Department of the Financial University under the Government of the Russian Federation, Moscow, Russia,, TURISHCHEVA Tatiana Borisovna , Akhmadeev* Ravil Gabdullaevich ,   British Doctor of Philosophy degree (PhD) standard, Associate Professor Department of Accounting and Taxation, Plekhanov Russian University of Economics, Moscow, Russia, Chaykovskaya Lyubov Aleksandrovna ,   Doctor of Economic Sciences, Professor, Head of the Department of Accounting and Taxation, Plekhanov Russian University of Economics, Moscow, Russia
Published: October 2019

This paper examines the institutional setting of internal controls, the existing problems in the relations between institutions, and suggests possible ways to resolve such problems. The outcomes of the scientific and practical examinations conducted by the authors have revealed the mutual interaction between the institutional environment of an autonomous establishment and that of the establishment’s internal controls, manifesting itself in the direct interaction with the autonomous establishment’s internal institutional environment, both at the micro- and meso-levels, subject to proper analytical support.
Energy-Efficient Clustering With Multiple Sink (Eecms) In Wireless Body Area Network
Authors:   University of Petroleum and Energy Studies, Dehradun, Agrawal* Juhi , Shelly  ,   University of Petroleum and Energy Studies, Dehradun, Kapoor Monit ,   University of Petroleum and Energy Studies, Dehradun
Published: October 2019

Wireless Body Area Networks is consists of compact bio sensors that implanted in various body areas of human being. WBAN is a new revolution in the field of health sciences. It monitors the health related data like blood pressure (BP), heartbeat, glucose level, electro-cardiogram etc. It passes these data to the health monitoring systems. WBAN is playing main role in the field of sports, entertainment, medical, psychological and social welfare. Till now there are different routing protocols have been outlined to increase its performance, energy efficiency, throughput, packet delivery ratio (PDR), delay and network lifetime. This paper proposes a routing protocol named energy-efficient clustering with multiple sink (EECMS) in wireless body area network. Which calculates the fitness function using multiple parameters such as Residual Node Energy, Distance of nodes and Transmission Range for Cluster Head selection. After some interval it keep changing the head to maintain the flow of network
Impact of dimensions of Organizational Citizenship Behaviour on Job Satisfaction in Information Technology sector
Authors:   KIIT School of Management/ KIIT University/ Bhubaneswar /Odisha/ India, Mohapatra* Mitali Das , Satpathy Dr.Ipseeta ,   Professor/ KIIT School of Management/ KIIT University/ Bhubaneswar/ Odisha/ India, Patnaik Dr.B.C.M ,   Associate Professor/ KIIT School of Management/ KIIT University/ Bhubaneswar/Odisha/ India
Published: October 2019

This present research has been done to measure the influence of Organizational Citizenship Behaviour (OCB) on the job satisfaction level for the professionals employed in Information Technology (IT) sector. OCB refers to the extra role behaviour exhibited by the employees which is not prescribed or it is beyond their contractual tasks. 240 valid responses were obtained from the employees working in an IT company in Bangalore. From the literature review two new categories of OCB were identified as employee sustainability and voice behaviour. Each dimension was studied thoroughly and correlation was done to find out the interrelation between these dimensions of OCB and job contentedness. Linear regression was applied to predict the values of one or more independent variables for the dependant variable. The results of the research indicated there is strong correlation between various categories of OCB and job satisfaction and further OCB and job satisfaction are statistically significant with each other. The results of descriptive analysis reveals “praising other employees work when they are successful” as the most important factor with the highest mean value. Gender and age did not have a positive association with OCB. The findings give an insight into the importance of OCB behaviours at workplace for every organization and implementation of these extra-role behaviours help in improving the work life balance of the employees and enhance in creating a tending environment for learning and growth.
WoTPubSub: A Web of Things Middleware with Publish Subscribe Functionality for Enabling Lightweight and Efficient Standard Web Access on Constrained Device
Authors:   Faculty of Computer Science, University of Brawijaya, Malang, Republic of Indonesia., Bhawiyuga* Adhitya , Kurniawan Donny ,   Faculty of Computer Science, University of Brawijaya, Malang, Republic of Indonesia, Siregar Reza Andria ,   Faculty of Computer Science, University of Brawijaya, Malang, Republic of Indonesia, Yahya Widhi ,   Faculty of Computer Science, University of Brawijaya, Malang, Republic of Indonesia., Kartikasari Dany Primanita ,   Faculty of Computer Science, University of Brawijaya, Malang, Republic of Indonesia
Published: October 2019

The web platform can be seen as an auspicious candidate to provide an interoperability layer in an IoT based system with various kind of device specification and client platform leading to the transformation from IoT to WoT (Web of Things). In order to implement web platform on IoT world, we require a web compatible middleware yet still maintaining lightweight and efficient machine-to-machine (M2M) communications. In this paper we propose the web of things (WoT) middleware with publish subscribe functionality or WoTPubSub. As opposed to the existing solution, this middleware offers the utilization of lightweight MQTT protocol to perform a communication with constrained device while still maintaining the compatibility with existing web architecture. The proposed system consists of three actors: the user as Restful HTTP client, the sensing-actuating constrained device as both MQTT publisher-subscriber and the proposed middleware acting as communication bridge which translates user's HTTP request into MQTT publish-subscribe action. We consider two data flow scenarios in the proposed middleware: user obtaining data from sensing device and user giving a command to actuating device. From functional and performance testing, we conclude that the proposed middleware has been able to provide a web compatible intermediary functionality between user and sensing-actuating constrained device with improved performance compared to the existing approaches.
A Hybrid Pain Detection Technique using SVM Parameter Optimization and Contourlet-Gabor Transform Feature Fusion
Authors:   Department of Electronics & Communication Engineering, The ICFAI University, Jaipur, Rajasthan, India., Saini* A.K. , Mandal Atanendu Sekhar ,   CSIR-Central Electronics Engineering Research Institute, Pilani, Jhunjhunu, Rajasthan, India, Sharma R.K. ,   Department of Electronics & Communication Engineering, NIT, Kurukshetra, Haryana, India
Published: October 2019

This paper highlights automatic pain expression recognition from facial images of pain. This technique is frequently used in healthcare applications. The research detects the pain expression by an effective recognition method. It is based on the concepts of fusion of contourlet transform with Gabor transform for feature extraction, and classification of expressions by using SVM. The ABC algorithm and GA is implemented for optimizing SVM parameters. In order to authenticate the precision and stoutness of the system, a number of experiments have been done on two databases namely UNBC shoulder pain database and IFD-CEERI database. It's provided throughout the simulation techniques. The suggested strategy is actually effective in recognition of pain expression in terms of accuracy.
The Classification Model for Cloud DDOS Attack
Authors:   Research Scholar, Department of CSE, Bharath Institute of Higher Education and Research, Chennai, Tamilnadu, India., Mary* S.Emearld Jenifer , Nalini C. ,   Professor, Department of CSE, Bharath Institute of Higher Education and Research, Chennai, Tamilnadu, India.
Published: October 2019

Cloud computing may be a tremendous territory, utilize the resources with expense viably. The service provider is to share the resources anywhere whenever. In any case, the network is that the most basic to accessing information within the cloud. The cloud malicious takes focal points whereas utilizing the cloud network. Intrusion Detection System (IDS) is perceptive the network and tells attacks. Distributed denials of service (DDOS) attack have solid result on the digital world.. To the extent digital attack is worried that it stops the normal working of the association by Internet protocol (IP) spoofing, data transfer capacity flood, expending memory resources and causes an immense misfortune. There has been a ton of related work which concentrated on dissecting the example of the DDOS attacks to shield users from them. This paper proposes the utilizing support vector machine, Neural Networks, and decision tree algorithms for foreseeing undesirable data's. In these algorithms are help us to beat the high false caution rate. The proposed work executed part utilizing the R tool to give a statistical report, which gives a superior result in little figuring time.
The Chaotic Influence of Convinced Elements on Routing Collective Opinion and Appearance of Butterfly Effect
Authors:   Automatic Control Systems Department Bauman Moscow State Technical University, Moscow, Russia, Pupkov* К.А. , Fadi Ibrahim ,   Graduate Student of Cybernetics and Mechatronics Department Peoples' Friendship University of Russia Ordzhonikidze, Moscow, Russia
Published: October 2019

The study touches on the impact of the presence of convinced opinion for some of intelligent agents during the voting on formation the final collective opinion in a community G consists of autonomous agents, every intelligent agent have his opinion 0 or 1 On a thoughtful topic, between these agents happening an interaction[1], by entering into a collective debate[2], this interaction we will call 'voting', especially in the community, when the number of elements that have opinion 0, convergent compared with the number of elements that have different opinion 1 during the voting where this state of society is close to an unstable equilibrium point, this state will change during voting process, to close to one of two stability points 0 or 1 according to a previous study, presence convinced opinion intelligent agents, would later lead to a chaotic change in the final result of the voting[3], this chaotic change is called the “Butterfly Effect”[4,5], this influence can occur in many fields, market movements and economics, social life, mathematical problems, technological topics, movement of a driverless or ;
Identifying the Faces from Poor Quality Image / Video
Authors:   Research Scholar ,dept. CS&E, Sri Siddartha Academy of Higher Education,Tumkur, Karnataka, India., kumar* T.Shree , Karunakara K. ,   Prof &Head( Dept.IS&E), Dept.IS&E,SriSiddartha Institute of Tehnology, Sri Siddartha Academy of Higher Education,Tumkur, Karnataka, India.
Published: October 2019

Face biometric is becoming more popular because of its wide range of applications in authorizing the person either from an image or from the video sequence. The bottleneck in face recognition is Pose angle variation, varying light condition, Partial Occlusion, Blur in the image or Noise. The proposed method first removes the noise from the image using Adaptive Median Filter (AMF) then Discrete Cosine Transform(DCT) is applied to normalize the illumination problem. The algorithm is further used to remove the motion blur using Lucy Richardson’s method by calculating the Point Spread Function (PSF). The Pose variation problem is then addressed with Global Linear Regression(GLR). Then the Principal Component Analysis(PCA) and Linear Discriminant Analysis(LDA) are applied to the normalized image to get the feature vector. This combined feature score is used to recognize the image using K-Nearest Neighbor (K-NN). The result shows a maximum accuracy of 92% and 87.5% with Pose angle variation between (0°, 22°) and (22°, 40°) respectively. The pose variation greater than this shows an average accuracy of 77.5%. The result also shows a maximum computation speed of 0.018 Seconds.
Temperature Monitoring using Wireless Sensor Network
Authors:   ECE Department, Saveetha school of Engineering, Chennai, Tamil Nadu, India., Swarna* B. , Haripriya Ms.D. ,   ECE Department, Saveetha school of Engineering, Chennai, Tamil Nadu, India.
Published: October 2019

In present environment situations, the temperature is unseasonal due to global warming. Temperature in indoor/outdoor is quite opposite when they are formed. Now, in summer conditions we use Air conditioners to get the cool air. For monitoring that A/C temperature control, we use wireless sensor network. This paper discusses about the temperature control for using the technology called WSN. A wireless Sensor to be the wireless process consisting from the spatially distributed autonomous devices using sensors to configure physical and also the environmental conditions.
Cuckoo Search Algorithm Based Critical Load Restoratinwith Dgr using Virtual Instrumentation
Authors:   P.G. Scholar, Department of Electrical and Electronics Engineering, Saveetha School of Engineering, Saveetha Institute of Medical And Technical Science, Chennai, Tamilnadu, India., Rajesh* S. , Hariharan R. ,   Associate Professor, Department of Electrical and Electronics Engineering, Saveetha School of Engineering, Saveetha Institute of Medical And Technical Science, Chennai, Tamilnadu, India., Yuvaraj T. ,   Department of Electrical and Electronics Engineering, Saveetha School of Engineering, Saveetha Institute of Medical And Technical Science, Chennai, Tamilnadu, India.
Published: October 2019

Large blackouts are one of the rarest phenomenon’s but restoration process is a complex process. But the objective of the process is quick restoration. Outrageous climate occasions significantly affect the maturing power system. It causes the expanded blackouts, furthermore loss of critical loads along these lines seriously influencing utility securities. It requires the essential to guarantee the spirit in the distribution network by rapidly restoring the loads during a sudden natural disaster victim. this paper proposed to restore the critical load using Distributed Energy Resources by the cuckoo search algorithm. The algorithm helps to allocate grids to pickup critical load with available DER. This method tested in IEEE 17 node feed with DER sources. The output is shown proposed method to restore maximum load with less restoration time.
Fuzzy System Methodology for Restoration of Distribution System by Distributed Generation
Authors:   U.G. Scholar, Department of Electrical and Electronics Engineering, Saveetha School of Engineering, Saveetha Institute of Medical And Technical Science, Chennai , Tamilnadu, India., Kumar* More Kranthi , Hariharan R. ,   Associate Professor, Department of Electrical and Electronics Engineering, Saveetha School of Engineering, Saveetha Institute of Medical And Technical Science, Chennai, Tamilnadu, India
Published: October 2019

Blackout is the severe thing in the whole power system. Restore the power system is a complex thing for the system operators. In Power system restoration process pickup the critical load is the important task in the restoration process. In this distributed generated using to pick up the critical load. DG placements are done by fuzzy logic system using Virtual instrumentation. In this paper this methodology was tested in two load locations with two distributed generation system. DG placement depends upon severity of the damage of power system which restore with less restoration time.
Effective Network Interface Architecture for Fault-Tolerant Mechanism Network-on-Chip
Authors:   Assistant Professor, Dept of ECE, Dhanekula Institute of Engineering and Technology, A.P. India., Radha* Kodali , Ramakrishna Kasukurthi ,   Assistant Professor, Dept of ECE, Sri vasavi institute of engineering and technology,Nandamuru, pedana, Krishna district, A.P. India., Guduru Krishnaveni ,   Assistant professor, Dept of ECE, Bapatla women's engineering college, Bapatla, A.P. India.
Published: October 2019

Basically, the denser integration capabilities will enable silicon technology scaling continuously. But in silicon technology higher variability and susceptibility will obtain. In this paper an effective network interfaces architecture if introduced for fault tolerant mechanism network on chip. A chip multi processor is introduced on chip components but this processor will not give effective output. Hence, the introduced system gives high throughput in modern network on chips. This system will exploit the speed of appropriate wire engineering which will transfer the long distance in single clock cycle. The data will be transferred between NOC routers by using Network interface (NI) and IP cores. Hence the proposed architecture will save the life time and overcome the issues of previous system.
Damping Derivative Evaluation in Pitch for an Ogive at High Mach Numbers
Authors:   Research Scholar, Mathematics Dept., M.I.T.E, Moodabidri, and Assistant Professor, SCEM, Mangaluru, Karnataka, India., Shabana* Aysha , Monis Renita Sharon ,   Research Scholar, Mathematics Dept., M.I.T.E, Moodabidri and Assistant Professor, SMVITM, Bantakal, Karnataka, India., Crasta Asha ,   Associate Professor, Mathematics Department, M.I.T.E, Moodabidri, Karnataka, India., Khan S. A. ,   Professor, Department of Mechanical Engineering, Faculty of Engineering, IIUM, Gombak Campus, Kuala Lumpur, Malaysia.
Published: October 2019

In this paper, the formulae for damping derivative for an ogive with the suppositions of a curve on the conical nose. The damping derivative in pitch is assessed for a broad scope of the inertia levels and the flow deflection angle. The outcome indicates that there is a progressive increase in the damping derivative with an increase in the flow deflection angle. When the inertia level is increased from M = 5 to 9, the damping derivative value diminishes, it becomes independent of inertia level, and later any increase in the Mach number does not yield any change in the magnitude of the damping derivatives, and that indicates the attainment of the Mach number independence principle. It is found from the results that when ogive is superimposed, the positive slope is useful, whereas, the negative slope does not yield any useful results, hence must be avoided in the design of the nose part of the aerospace vehicle design. Due to both either positive or negative slope, there is a considerable shift in the Centre of the pressure of the nose, which is right from the dynamic stability point of view. When the slope increased beyond λ > 10, the pressure distribution is such that the magnitude of the damping derivatives attains very peculiar behavior, and this trend is not acceptable. Hence, such a high value of the λ must be avoided.
Hubungan Pengetahuan Wanita Usia Subur Dengan Motivasi Melakukan Pemeriksaan PAP SMEAR.
Authors: Adhyatma Aminah Aatinaa
Published: October 2019

Deteksi dini kanker serviks salah satunya melalui pemeriksaan Pap Smear, sebagai pemeriksaan sitologi untuk melihat adanya keganasan pada epitel serviks/ porsio. Salah satu masalah pelaksanaan Pap Smear umunya masih disebabkan karena masih rendahnya tingkat pendidikan dan pengetahuan penduduk Indonesia mengenai pemeriksaan Pap Smear. Tujuan dari penelitian ini untuk mengetahui hubungan tingkat pengetahuan Wanita Usia Subur (WUS) dengan motivasi melakukan pemeriksaan Pap Smear di Desa Jetis Wilayah Kerja Puskesmas Jimbaran Tahun 2012. Desain penelitian yang digunakan adalah survey analitik secara Cross Sectional pada wanita usia subur usia 35-40 tahun di Desa Jetis sebanyak 87 responden diambil dengan teknik Simple Random Sampling. Pengumpulan data dengan menggunakan kuesioner serta analisis data dengan menggunakan uji korelasi KendallTau (τ).Hasil penelitian menunjukkan bahwa sebagian besar tingkat pengetahuan responden tentang Pap Smear kurang yaitu sebesar 62,1% sedangkan motivasi responden untuk melakukan pemeriksaan pap smear sebagian besar rendah yaitu sebesar 86,2%. Ada hubungan yang bermakna antara tingkat pengetahuan wanita usia subur dengan motivasi melakukan pemeriksaan pap smear (p value <0,05) dan nilai τ = 0,281 memiliki makna ada hubungan arah positif, hal ini berarti perubahan pengetahuan yang baik akan mempengaruhi motivasi yang tinggi untuk melakukan pemeriksaan pap smear.
CORRELAÇÃO DA FUNÇÃO PULMONAR, QUALIDADE DE VIDA E GRAU DE DISPNÉIA EM PACIENTES COM DOENÇA PULMONAR OBSTRUTIVA CRÔNICA.
Authors: Lovison Keli , Taglietti Marcelo , Concicovski Daniele , Medeiro Karoline Calichio , Busatta Bethina Bernardon , Tori Fernanda Da Silva
Published: October 2019

Introdução: A DPOC é caracterizada pela presença de obstrução ao fluxo aéreo, não totalmente reversível, sendo essa limitação geralmente progressiva. Objetivo: O estudo visou correlacionar a função pulmonar, qualidade de vida e grau de dispneia em pacientes com DPOC. Metodologia: A amostra foi composta por 30 pacientes. A prova de função pulmonar foi realizada através da espirometria. Para avaliar a QV foi utilizado o questionário AQ20 e para avaliar o grau de dispneia foi utilizado a MRC. Resultados: Houve diferença estatisticamente significativa, entre a média do questionário AQ20 e a escala que avalia o grau de dispneia MCR (p= 0,092). Não observamos diferença estatisticamente significativa entre a classificação da DPOC no que se referem às variáveis, escore do questionário de AQ20 e escala MCR. Conclusão: Em nosso estudo, ao analisar o grau de obstrução em pacientes DPOC com o AQ20, concluímos que, à medida que a intensidade de dispneia aumenta, a QV encontra-se mais  prejudicada. A validação e a utilização de questionários de QV e escalas que medem a intensidade de dispneia são de fundamental importância para se avaliar a relação saúde-qualidade de vida nos pacientes portadores da DPOC.