bluuebunny/crossref_metadata_2025 huggingface dataset:
A Framework and Assessment of Information Security in the Product Design Centre: A Quantifiable Analysis on Information Flow
Authors:   Associate professor, Computer science and engineering, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, Chennai, (Tamil Nadu), India., D *Vinod. , A Sivanesh kumar. ,   Associate professor, Computer science and engineering, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, Chennai, (Tamil Nadu), India., Arumugam Saritha ,   Assistant professor, Computer science and engineering, Vels Institute of Science, Technology and Advanced Studies, Chennai, (Tamil Nadu), India., Muruganantham Manickam ,   Associate professor, Computer science and engineering, Saveetha Engineering College, Anna University, (Tamil Nadu), India.
Published: November 2019

The present investigation aims to propose an information security system for an item configuration focus of a globally presumed car industry. As the essential commitment of this examination consider, the different arrangements for the verified data stream inside and outside the improvement focus alongside different kinds of assaults are talked about in order to upgrade the general security of the data framework at the middle. A layered compositional model for the data security of the inside is considered to beat the dangers. The security arrangements and instruments are talked about in the entrance control level as well as in accomplishing verified data correspondence level between the various substances The proposed model represents the verified data trade in the trust and protection points of view concerning time and setting of trades in a particular structure, which isn't found in existing proficient measures or scholarly productions. To support the feasibility of this approach and solicitation of these devices to true situations, for instance uncovered a few perilous states in a plan focus data framework approach and distinguished secret data streams in an entrance control arrangement for an enormous server framework.
A Machine Learning Model for Population Analysis among Different States in India which Influences the Socio, Demographic and Economic Needs of Society
Authors:   Professor, CSE, Faculty of Engineering, CHRIST, Bengalurur, India., Krishna Dr. Addepalli VN , Murugan Dr. M. Bala ,   Associate Professor, CSE, Faculty of Engineering, CHRIST, Bengalurur, India.
Published: November 2019

In this work Data from 2011 census is taken to identify the state which influences more in Population census among the different states identified. The data is considered from Madhya Pradesh, followed with Utter Pradesh, then to Bihar, Bengal and Orissa. Similarly other case studies are also done for Southern Indian states and North Eastern States. Genetic algorithm will be tried to find the optimal location for the given study. A fitting function is calculated for the population data of 2011 using Lagrange Interpolation technique. This fitting function is given as input to Genetic algorithm to find the optimal state which have maximum influence in the population growth among different states of India as per the Case studies done.
Effect of Shear wall Geometry on Ten Storey Building with Raft and Fixed base foundation
Authors:   Department of Chemical Engineering, BITS Pilani, K. K. Birla Goa Campus, Zuarinagar, Sancole, Goa, India., Vimala A. , Harshavardhan* T. ,   Department of Chemical Engineering, BITS Pilani, K. K. Birla Goa Campus, Zuarinagar, Sancole, Goa, India.
Published: November 2019

Raft foundation is widely used for high-rise buildings where presence of shear wall is very common. Shear Wall resists a major portion of the lateral load of high-rise buildings. So, presence of shear wall on mat foundation causes significant change in pattern and intensity of loading on mat foundation. The present work involved an investigation of effect of shear wall geometry in different seismic zones with and without the presence of raft foundation. Multi storey building with ten storey is analysed for the storey drift, storey displacement and base shear. The analysis of building is done by response spectrum analysis. The different shapes of shear walls C,L,F,I with same plan area is considered. The effect of shear wall geometry is studied in zone II, zone III, zone IV, zone V. Loads and load combinations selected based on IS 456-2000 and IS 875-1987 code. Three types of soil conditions are considered typeI ,typeII, typeIII.Raft foundation is designed by meshing the slab into equal quadrilaterals.Assigning of area springs to the each quadrilateral.Meshing is done inorder to convert the infinite solution into finite solution.The different shapes of the shear walls is analysed in zone V with the raft foundation in type III.The results are compared with and without the raft foundation ,conclusions are drawn that the best shape of the shear wall suits in different seismic zones.
Grid Computing Model to Solve Job Shop Scheduling and Flow Shop Scheduling by Fuzzy C-Mean Algorithm
Authors:   Department of Mathematics and Statistics, Gurukula Kangri Vishwavidyalaya Haridwar (U.K), India., Kumar Ajendra , Singh Preet Pal ,   Department of Mathematics, Pt. L.M.S. (P.G) College, Rishikesh (U.K), India., Sharma Dipa ,   Department of Mathematics, S.D.M. Government (P.G) College, Doiwala (U.K), India., Joshi* Pawan ,   Department of Mathematics and Statistics, Gurukula Kangri Vishwavidyalaya, Haridwar (U.K), India.
Published: November 2019

This paper presents two computing model in grid environment to utilize the waiting time of a job on particular machines in Job Shop Scheduling and Flow Shop Scheduling for minimize the makespan or total elapsed time. To determine the sequencing of a job we have applied Fuzzy C-Mean (FCM) clustering algorithm in both Job Shop Scheduling problem and Flow Shop Scheduling problem. Flow Shop Scheduling is a classified case of Job Shop Scheduling in which a specific job sequence is pursued strictly. Two illustrative examples of scheduling problems have been solved by this method and compared our results to some other existing methods discussed in the literature. The experimental result shows that the scheduling system using grid computing can allocate the makespan of service jobs effectively and more efficiently.
Effect of Sinuosity on Shear Stress Distribution in Meandering Channel
Authors:   Department of hydraulics and water resource engineering Technological University Delhi, India, Pathania Ashish , Jhamnani Dr. Bharat ,   professor in department of civil engineering Technological University Delhi India
Published: November 2019

Rivers have always been the lifelines of the civilizations and meandering is a well known natural phenomenon in which a river deviates from its straight path and form a curvature of reverse order. To study the flow characteristics of a meandering river understanding of shear stress distribution in a meander section is of immense importance. Shear stress distribution in a meandering section depends upon various factors like shape of cross section, slope and hydraulic radius etc. Among all these factors sinuosity is a crucial factor which affect the shear stress distribution in a meandering section. This research put forward the effect of variation in sinuosity on shear stress distribution.CFD(Computational Flow Dynamics) analysis is adopted over experimental work due to its reliability and accuracy. ANSYS 18.1 is used for the simulation of meandering channels. In this research we design three meandering channels with sinuosity values 1.47, 2.0 and 2.53. Each model is simulated for three different values of discharge i.e. 1,2 and 3 cumec. Hence a total of 9 models are created for the analysis. Meshing is done for the domain and its accuracy is examined by performing grid independence study. LES(Large Eddy Simulation) model is used to incorporate turbulence in the model. This model is chosen due to its better efficiency and accuracy over others in open channel simulations. The results show that shear stress on inner wall of meandering channel is more than that on outer wall. Velocity profiles are found to be in agreement with shear stress distribution. Percentage difference between inner and outer wall shear stress values decreases as we increase the sinuosity.
Dam Failure Model to Predict Inundation Hazard Map for Emergency Plan
Authors:   Doctoral Program, Tarumanagara University, Jakarta, Indonesia and Civil Engineering Department, Bina Nusantara University, Jakarta, Indonesia., Juliastuti  , Alisjahbana Sofia ,   Civil Engineering Department, Bakrie University, Jakarta, Indonesia., Ma’soem Dadang ,   Civil Engineering Department, Ma’soem University, Jakarta, Indonesia., Setyandito Oki ,   Civil Engineering Department, Bina Nusantara University, Jakarta, Indonesia, Suangga Made ,   Civil Engineering Department, Bina Nusantara University, Jakarta, Indonesia.
Published: November 2019

The construction of dams can offer many advantages, but their failure could result in major damages, including loss of life and property destruction. The research aims to model dam failure for Mapping Hazard area including inundation height and arrival time. A key scenario for dam failure is partial breach of embankment dam: overtopping and piping. The overtopping shape modeling was simulated in triangle and trapezoidal shapes. The piping failure modeling is simulated as orifice with rectangular shape. This study was conducted by using the integration of hydraulic modeling, which used a numerical method with Navier-Stoke solver and Geographic Information System (GIS) to assess the risks that could be cause by any damages on Dam failure. Flow simulation of the dam break was performed by using ZhongXing HY-21 software and the results were mapped by using the GIS. The result of the research is overtopping failure was selected for the model with peak discharge maximum (Qmax) is 2089 m3/sec. The fastest arrival time is 0.4 hours (24 minutes). Several villages catagorized as a high-risk area. This inundation hazard map is very important for emergency plan which determines the evacuation routes and coordination scheme with local disaster agency.
„Judgemental Category‟ is the Major Concept in Ntozake Shange‟s “For Colored Girls Who Have Considered Suicide/When the Rainbow is Enuf”
Authors:   Ph.D scholar, Faculty of Applied Sciences, Technology and Human Development, CLS, University Tun Hussein Onn Malaysia (UTHM)., Alsanafi Ismael Hasan , Noor Dr. Siti Noor Fazelah Binti Mohd ,   Senior Lecturer, Faculty of Applied Sciences, Technology and Human Development, CLS, University Tun Hussein Onn Malaysia (UTHM)., Kadir Dr Zulida Abdul ,   Senior Lecturer, Faculty of Applied Sciences, Technology and Human Development, CLS, University Tun Hussein Onn Malaysia (UTHM).
Published: November 2019

This paper aims to explore the frequencies of using the Attitudinal resources in Shange‟s Postmodern American drama “For Colored Girls Who Have Considered Suicide/When the Rainbow is Enuf”. The purpose of that investigation is to make a comparative analysis among all three types of Attitude categories which are: Appreciation, Judgment, and Affect. In order to accomplish the role of being the spokesperson of black American women in the United States of America by delivering the real agony and oppression that those people faced because of their class, gender, and race. The playwright has presented and cantered on seven black women who encountered some form of neglect, harassment, and abuse; either emotionally, sexually, or physically. The analysing process has presented that the playwright had utilized many linguistic resources; „Judgement‟. This category is considered as one of the major Attitudinal systems in the discourse-semantic appraisal mode within Systemic Functional Linguistics (SFL) for interpersonal meanings. Judgement is connected with the evaluation of black women‟s characters as well as their behaviours in this literary text. This article intends to discover the reason behind the heavy use of that category compared with the other two types of Attitudinal system. The paper has adopted qualitative and quantitative methods to conduct the objectives of the Attitudinal resources in the selected data sets. This paper has concluded that in the Attitude category, Judgement turned to be the most presentation system comparing with the other Attitudinal types which are Affect and Appreciation. Moreover, within the scope of Judgement „Propriety‟ and „Tenacity‟ have exceeded other judgmental subtypes.
Anomaly Detector for Manufacturing Industries using Lab view
Authors:   Electronics and Communication Engineering, SRMIST, Ramapuram, Chennai, Tamilnadu., M Dr.Roopa , S Jagir Hussain ,   Electronics and Communication Engineering, Dhanalakshmi College of Engineering, Chennai, Tamilnadu., S Dr. Vijayanand ,   Electronics and Communication Engineering, Dhanalakshmi College of Engineering, Chennai, Tamilnadu.
Published: November 2019

In assembling enterprises the extra parts can arrive in a wide scope of various sizes and shapes, yet the essential creation process is large and continues with its different stages. It begins by manufacturing steel wire into the correct shape, trailed by warmth treatment to enhance the quality and surface treatment to enhance strength, before the packaging procedure. Splits or anomaly on the extra parts like bolts are one of the serious issues in the assembling enterprises which lead to parcel of issues when utilized in any machine. By manual investigation it is hard to discover the breaks. As a solution for this problem we have designed, anomaly detector for manufacturing industries using LabVIEW to detect the defected bolts which may cause serious issues in running machines like electromagnetic interference and unnecessary vibrations. In this proposed system, the shapes are detected using geometric matching and the defects are identified by varying the threshold levels. Also, the colour matching is used to find the erosion. The proposed system. The image is converted into gray scale to compare with template image using color plane extraction and the defects are identified comparing the two images i.e., the template and the acquired image using match pattern where the patterns are matched for both the images. The image is taken in real time and compared with template image using web cam and my Rio.
Real-Time Data Transfer Based on Software Defined Radio Technique using Gnu radio/USRP
Authors:   Electronics and Communication Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, AP, India., Sowjanya Ponnaluru , Satyanarayana Penke ,   Electronics and Communication Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, AP, India.
Published: November 2019

Software Defined Radio (SDR) offers a extensive radio communication platform that uses software updates to make use of fresh technology. From SDR, the idea of an Orthogonal frequency division multiplexing (OFDM) has evolved to personalize SDRs. The channel dispersiveness causes Inter Symbol Interference (ISI) but OFDM is more resistant at these condition because of this reason it is widely used in wireless communication systems. OFDM is having a good performance in terms of Bit Error Rate (BER) and high spectrum efficiency, so it is considered as a key role for next generation wireless communication system. In this paper, three different types of data are transferred in a real time SDR of OFDM transceiver using GNURadio/Universal Software Radio Peripheral (USRP). OFDM is extremely sensitive for synchronization errors such as time and frequency offsets and to estimate channel condition. Therefore, a standard algorithm is applied to solve synchronization and channel estimation problems in SDR based OFDM system. This testbed is implemented using two USRPs of model N210 as transmitter and receiver with an open source of GNURadio as a software. The implementation of OFDM is evaluated for different types of information like text, audio and Image. This evaluates the BER v/s SNR for real time data transmission in SDR Environment.
Residual Chlorine Decay in Juja Water Distribution Network using EPANET Model
Authors:   Department of Civil Engineering, Pan African University Institute of Basic Sciences, Technology and Innovation, Kenya., Mensah* Agboka Komi , Mayabi Alfred O. ,   Department of Civil, Construction and Environment Engineering, JKUAT University, KENYA., Cheruiyot Charle ,   Department of Civil, Construction and Environment Engineering, JKUAT University, KENYA.
Published: November 2019

The current study was carried out to analyze the residual chlorine decay analysis within the existing Juja water distribution network. The study used EPANET as a simulation tool. From the field samples, the first-order bulk decay coefficient Kb was found equal to - 0.04. The wall coefficient Kw was assumed to - 4.0 mg//day as guided by literature. The analysis shows that the entire supply area of the existing distribution network faces higher residual chlorine concentration (0.70 to 0.8 mg/l) from 9 am. The study recommended the reducing of the initial chlorine added at the treatment plant and the optimization of the network, which will provide a proper residual chlorine dosage to reduce Juja consumers exposure to health risk and also to be economically reasonable for the water company in charge
Determining the Rheological Properties of Fresh Concrete using Concrete Shear Box
Authors:   Associate Professor, Department of Civil Engineering, JSS Academy of Technical Education, Bengaluru, S Dr. Santhosh B
Published: November 2019

A test method which is accurate, viable and is based on the fundamental scientific description and at the same time the results are independent of the test device can go a long way in better understanding of the workability of fresh concrete. The principal objective of this research study is to assess the feasibility of concrete shear box to measure the rheological properties of fresh Portland cement concrete using Bingham model. Study assesses the repeatability and reproducibility of the results. The repeatability values of relative yield stress and relative plastic viscosity are 97.63% and 91.49% and reproducibility values are 91.68% and 95.51% respectively and the results reinforce the effectiveness of using concrete shear box.
Sentimental Analysis on Text data by using Unsupervised Methods
Authors:   Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Guntur, Andhra Pradesh, India, Josephine B.Manjula , Rao KVSN Rama ,   Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Aziz Nagar, Hyderabad, India., Ramya K.Ruth ,   Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Guntur, Andhra Pradesh, India., Sandeepa P. ,   Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Guntur, Andhra Pradesh, India., Yeshwanth G. ,   Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Guntur, Andhra Pradesh, India
Published: November 2019

On the internet we can see how efficiently display the reviews by the user who brought the product so that it covers all the important points instead of just displaying few top comments or threads. The main agenda of the tool is to build and analyse all the reviews given by each customer and display the best product reviews for any app or product. As we all read reviews before we buy any product from any e-commerce or while installing any app but the major problem we face is there are huge number of reviews and most of the reviews we get is the top most review or a combination of bad and good review based on rating which sometimes may or may not tell the perks or cons of using the product so we tried to build a tool that analyse all the reviews and picks the best reviews which totally describe the product flaws defects or advantages. so for that purpose we are implementing the k-means clustering algorithm and in previous papers they have used RASP (robustical and accurate statistical parser)grammatical tagger to identify all kinds of nouns, adjectives, pronouns and etc. together. Here in our paper we are using k-means clustering algorithm which divides all kinds of identifiers based on the comments so that it gives a clear idea about the product and is given in graphical representation
Implementation of Attribute Based Symmetric Encryption through Vertically Partitioned Data in PPDM
Authors:   Computer Science Department, Nirma University, Ahmedabad, India., Vashi* Devendrasinh , Bhadka Dr. H B ,   Faculty of Computer Science, C U Shah University, Wadhwan, India,, Patel Dr. Kuntal ,   School of Computer Studies, Ahmedabad University, Ahmedabad, India,, Garg Dr. Sanjay ,   Computer Science Department, Nirma University, Ahmedabad, India.
Published: November 2019

The aim of this research article is to implement the symmetric encryption techniques on the vertically partitioned database table. In privacy-preserving data mining mainly sensitive attributes to be protected so that privacy will maintain during data mining. In this proposed algorithm the datasets partitioned in the three different sets. Then for each table for the selected attributes only one symmetrical encryption as well as different symmetric encryption is implemented. Initial data size, encryption execution time and data size after encryption are observed for each file of different data size. In result and analysis examined the performance of execution time and memory occupied after each encryption techniques is discussed and found that hybrid algorithm of using different symmetric encryption for each partitioned table is good as compared to implementing only one encryption on each partitioned table. This algorithm is mainly useful to provide privacy in PPDM in case of distributed data base of health care organizations.
Exploration of Designed Robot in Non Linear Movement Using EKF SLAM and Its Stability on Loose Concrete Surface
Authors:   Research Scholar in Department of Computer Science & Engineering at Poornima University, Jaipur, India., Mittal* Rohit , Mishra Dr. Nidhi ,   Associate Professor in Department of Computer Science & Engineering at Poornima University, Jaipur, India., Pathak Dr. Vibhakar ,   Professor Department of Computer Science & Engineering at Poornima University, Jaipur, India.
Published: November 2019

The paper analyze the pressure exerted during movement of robot on path (marble flooring and Pebbled surface) using Gmapping based EKF (Extended Kalman Filter) for SLAM (Simultaneous Localization and Mapping). The experiments were carried out using meta software (vMicro) and Arduino BSP on.Net framework, which was not discussed in collaborative SLAM. In this paper, pressure and physical information captured by various sensors are analyzed and concludes robot’s behavior at different surface type with various angles.
2D And 3D Based Network On Chip For A Stream Of Data using Label Switching Technique
Authors:   M. Tech student (VLSI Design & Embedded Systems), Department of E & C Engineering, CMR Institute of Technology (affiliated to Visvesvaraya Technological University) – Bangalore -37, Karnataka, India., N Mamatha , S Sridevi ,   PhD Scholar and Assistant Professor, Department of E & C Engineering, CMR Institute of Technology (affiliated to Visvesvaraya Technological University) – Bangalore -37, Karnataka, India., Indumathi Dr. G ,   Professor and Head Department of E & C Engineering, Cambridge Institute of Technology (affiliated to Visvesvaraya Technological University)., Venkateswaran Dr. K ,   Assoc. Professor, Department of E & C Engineering, CMR Institute of Technology (affiliated to Visvesvaraya Technological University) – Bangalore -37, Karnataka, India.
Published: November 2019

Universal interconnection networks are prime performance tailback for high performance SoCs (Systems-on-Chip). Since shrinking the size of the ICs (Integrated Circuits) is the main aim, NoC (Network-on-Chip), being a segmental and mountable design tactic is a propitious substitute to outmoded bus-mode architectures. NoC combined with 3D-Routers and label switching technique can guarantee low power consumption, QoS along with less latency. In the proposed work, 3D NoCs are proven to be more advantageous by achieving 39.9% reduction in Area, 1.7% reduction in Power Consumption, and 11.3% reduction in Memory usage.
A Heuristic Ranking of Different Characteristic Mining Based Mathematical Formulae Retrieval Models
Authors:   CS&SE Department, AUCE, Andhra University, Visakhapatnam, India., Rao* K.N.Brahmaji , Srinivas Dr.G. ,   CSE Department, GITAM deemed to be University, Visakhapatnam, India., D. Dr.Prasad Reddy P.V.G. ,   Senior Professor, CS&SE Department, AUCE, Vice-Chancellor, Andhra University, Visakhapatnam, India.
Published: November 2019

The significant difficulty in the present circumstances is how to classify the math related keywords from a given text file and group them in one math file. Through this article a heuristic ranking model was developed and was evaluated on different mathematical formulae retrieval algorithms based on Characteristic mining. Our proposed heuristic ranking model was developed using the performance metrics of exiting retrieval algorithms such as NMF clustering, Levenstein distance, Sequence matcher, Fuzzy-wuzzy and Tensorflow. Performance metrics such as sensitivity, specificity, efficiency, accuracy and retrieval time were used in developing our heuristic ranking model.
Optimization of Coffee Liqueur Manufacturing Process using Caffeine Content
Authors:   School of Food and Nutrition, Semyung University, Jecheon, South Korea., Oh Chang-Hwan
Published: November 2019

Coffee liqueur is an alcoholic beverage made by soaking coffee in spirit. Though coffee liqueur is one of the well- known liqueur, few research was made so far. In this research, coffee liqueur was prepared by using different recipes involving liquors with different ethanol concentrations (20, 40, or 80%), and the soaking periods (14, 21, or 30 days) of the coffee liqueur ingredients (roasted coffee beans, coffee bean powder and other ingredients). Volatile and semi-volatile compounds are important for the organoleptic quality of roasted coffee beans. However, the amounts of these compounds in roasted coffee beans are more dependent on roasting conditions than those of non-volatiles. Furthermore, volatiles are more easily lost during storage. On the other hand, caffeine, a well-known compound of coffee is an intrinsic non-volatile chemical, and the caffeine is present in larger than other potential indicator components in coffee beans, ensuring the quantitative consistency of the coffee extracts in the liqueur. Caffeine was quantified from the prepared coffee liqueurs by HPLC after method validation. The average caffeine content of all 54 analyses (6 analyses per sample) was 2081.2 μg/mL. The highest caffeine concentration 2793 μg/mL was acquired in the sample prepared by 80% ethanol liquor. A soaking period of 14 days, was considered inadequate for sufficient caffeine extraction regardless of liquor alcohol content. Caffeine concentration peaked after soaking coffees and other ingredients for 21 days at 80% ethanol concentration. On the other hand, the most consistent caffeine concentrations in liqueurs were obtained by soaking for 21 days in 40% ethanol (RSD 7.8%), thus it could be the optimum coffee liqueur recipe. The consistency of coffee liqueur quality was assured using caffeine content.
An Application of Interpretive Structural Modeling In Sustainable Supply Chain Management
Authors:   Department of Mechanical Engineering, Sanketika Vidya Parishad Engineering College, Affiliated To Andhra University, Visakhapatnam, India., Abraham* Kevin , Naveen P N E ,   Department of Mechanical Engineering, SVPEC, Vizag, India., M Chaitanya Mayee ,   Department of Mechanical Engineering, SVPEC, Vizag, India.
Published: November 2019

The advent of globalization in the market has led to huge competition among the companies in various fields to achieve best supply chain practices. Increasing focus on environmental concerns has driven critical changes in industries’ strategy by incorporating sustainability in their supply chain. A supply chain which does not threaten the opportunities for future generations by considering environmental and social impact in addition to the economic impact leads to the concept of Sustainable Supply Chain Management (SSCM). Firms adopt sustainability by implementing specific practices - named as SSCM practices, in supply chain. However they struggle to identify the influential practices.This Paper intends to analyze the SSCM practices in plywood Industries in Visakhapatnam using Interpretive Structural Modeling (ISM). ISM method is used to develop a structural model to identify the influential practices. The SSCM practices are identified through literature review and from domain experts and managers of industries. Then practices are grouped under the dimensions of sustainability namely economic, environmental and social. And ISM model is built through which the most dominant practice among them in each dimension is identified.
To Monitor and Improve Project Development of Final Year Students using Scrum Model
Authors:   Computer Science Department, Dr. D. Y. Patil College, Pimpri ,Pune, India., Takawale Ms. Neeta , Kulkarni Mrs. Shibani ,   Computer Science Department, Dr. D. Y. Patil College, Pimpri ,Pune, India., Bachhav Mrs. Jyoti ,   Computer Science Department, Dr. D. Y. Patil College, Pimpri ,Pune, India.
Published: November 2019

In today’s challenging world of computer science, technology updations are frequent, because of which it becomes difficult for the students and the faculty related with computer science courses to keep pace with the updations. Similarly time management is also an issue that may affect effective teaching. For most of the degree courses in computer science students have to submit projects .There is a time constraint for project completion as the project is to be submitted within a semester i.e. almost three months. This research paper describes an attempt to integrate agile method and implement scrum model in computer science courses to help students complete the project on time. Scrum model focuses on self-organizing teams that will provide platform to the students to practice project organization. In this paper we have discussed a report for implementing scrum model to monitor project progress of final year students. The basic objective of the paper is to reduce incomplete Project submission at the end of the degree course and also the practical implementation of the scrum model helps the students to correlate subject knowledge.
Integrating an Instructional Design Model in Video Development for Autism Spectrum Disorder
Authors:   Pervasive Computing & Educational Technology (PET), Faculty of Information & Communication Technology, Universiti Teknikal Malaysia Melaka, Durian Tunggal, Malaysia., Mohd* Che Ku Nuraini Che Ku , Shahbodin Faaizah ,   Pervasive Computing & Educational Technology (PET), Faculty of Information & Communication Technology, Universiti Teknikal Malaysia Melaka, Durian Tunggal, Malaysia., Maria Meylinda ,   Pervasive Computing & Educational Technology (PET), Faculty of Information & Communication Technology, Universiti Teknikal Malaysia Melaka, Durian Tunggal, Malaysia., Mohamad Siti Nurul Mahfuzah ,   Pervasive Computing & Educational Technology (PET), Faculty of Information & Communication Technology, Universiti Teknikal Malaysia Melaka, Durian Tunggal, Malaysia.
Published: November 2019

The interest in using video among individuals with autism spectrum disorder (ASD) has increased significantly. By using video is able to engage them actively in social activities. Due to that, a deep attention in understanding the potential of video development has been a top priority. Integrating an instructional design video for learning process can help the students to pay more attention and understanding while learning in the classroom. The purpose of the study is to know the details of every part of the learning system process. It is important for features to improve the autism’s skill for better understanding while learning process happened. It would be more effective if ADDIE or Dick and Carey’s model as the framework develop this instructional design. Based on the results, the respondents are satisfied with the usage of video. The use of ICT needs to be enhanced to students with autism. The usage of the video under teacher super-vision and use of mind challenging videos.
Real Time Prediction of Temperature using ANFIS-SUGENO Model
Authors:   Professor of Mathematics, University School of Basic & Applied Sciences (USBAS), Head, Non-Linear Dynamics Research Lab, Guru Gobind Singh Indraprastha University, Delhi, India., Bhardwaj* Rashmi , Duhoon Varsha ,   Research Scholar(s), USBAS, GGS Indraprastha University, Delhi, India,
Published: November 2019

Temperature patterns are continuously change over time and but dependences on the temperature of most of the industries has not yet changed hence making it important for the scientists to predict temperature on a regular basis as most share of the industries in GDP of the economy of country has its dependence on the weather and hence the average of the weather patterns known as climate. In relation to this, the need is to generate a system which can foretell the temperature so that it can help in the various policy making and foreseeing the upcoming catastrophic event. AdaptiveNeuroFuzzyInferenceSystem (ANFIS) and SUGENOmodel a tools & techniques under Artificial Intelligence used for analyzing the data set and foretell the behavior for upcoming reference. ANFIS-SUGENO model used to analyses weather parameters like Humidity, Maximum & Minimum temperature, speed of wind, Bright sunshine (BSS), Evaporation for Delhi daily data set from January 1, 2017 up till February 28, 2018 and further from January 1, 2017 up till November 30, 2018 is used for foretelling and it is observed that the observed and predicted values are much related.
Agriculture Customers Power Consumption Analysis to Reduced Power Losses in Winter
Authors:   Electrical Engineering Department, Faculty of Technology and Engineering, The M S University of Baroda, Dangar Bharat , Joshi S. K. ,   Electrical Engineering Department, Faculty of Technology and Engineering, The M S University of Baroda
Published: November 2019

Indian agriculture crop production mostly yields in winter season. To increase the food output, almost all the State Governments show benevolence to farmers and arrange supply of electric power for irrigation to the farmers at a nominal rate, and in some States, without charges at all. In view of this, most Electricity Boards supply power to agriculture sector and claim subsidy from the State Govt. based on energy consumption. Since the energy supplied to the agriculture sector is a generous gesture by the State Govt., all the electricity boards have eliminated energy meters for agriculture sector services. The absence of energy meters provides ample opportunities to SEBs to estimate average consumption in agriculture sector at a much higher value than the actual. In the absence of energy meters, most of the SEBs resort to fudging consumption figures to include not only the under estimated T&D Losses but also energy theft from their system. The extent of fudging is more in the States where agricultural activity is high. The benefit derived by these boards is not only the extent of subsidy from the respective States but also self-praise by showing much less transmission and distribution losses. Further the boards are ignoring the inefficiency in operating the distribution system by blaming the agricultural supply for all ills and raising the tariff of other consumers.
Application of Correlation-Regression Method to Correlate the Statistical Relationship between the Parameters of Some Indexed Journals
Authors:   Department of Mathematics, Koneru Lakshmaiah Education Foundation, Vaddeswaram,Andhra Pradesh, INDIA, Kumar Pavan
Published: November 2019

This paper proposes an application of correlation-regression method to establish the statistical relationship between acceptance rate & first decision time of some indexed journals. 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 of the data collected. We plot the scatter diagram between the two measures. Correlation coefficient value is also calculated, that checks the significant connection between the two variables. The correlation analysis and regression analysis demonstrate that there is a moderate positive correlation between acceptance rate & first decision time.
Interpretation of Urban Power Consumers Behaviors to Predict Power Loss in summer
Authors:   Electrical Engineering Department, Faculty of Technology and Engineering, The M S University of Baroda., Dangar Bharat , Joshi S. K. ,   Electrical Engineering Department, Faculty of Technology and Engineering, The M S University of Baroda
Published: November 2019

High Temperature In The Summer Of India. Interpretation Of Electricity Consumption Is Crucial In Summer For Urban Consumers. We Are Focus Here For Only Indian Summer Urban Customers Energy Consumption To Analysis And Predict Behavior Of Electricity Theft. Data Mining Techniques Are Employing To Analyses Indian Summer Urban Customers. Online Sequential Machine And Support Vector Machine Is Used For This Behaviors Classification And Prediction.Mainly we focus Support vector machine to classified consumers and online sequential machine is used to detect and predict consumers behaviors.
The Effect of Work Discipline, Work Motivation and Leadership on Employee Performance at PT. Devrindo Widya Karawang - Indonesia
Authors:   Lecturer Singaperbangsa University Karawang Indonesia., Darojat Tubagus Ahmad , Rahmat Abdul ,   Lecturer Gorontalo State University, Indonesia, Djaafar Lucyane ,   Lecturer Gorontalo State University, Indonesia
Published: November 2019

This research is to find out, explain and analyze the influence as well as the partial and simultaneous influence of work discipline, work motivation and leadership on employee performance at PT. Devrindo Widya Karawang - Indonesia. There were 82 employees of which 68 were used as the sample group. The research method used is the descriptive and verification method. The following conclusions result from the analysis of research data: 1) work discipline is good, 2) work motivation is good, 3) leadership is good, and 4) employee performance is good. There are influences both partially and simultaneously of work discipline, work motivation and leadership on employee performance at PT. Devrindo Widya Karawang - Indonesia.
Thermoelastic Response of a Rectangular Plate under Hyperbolic Heat Conduction Model in Differential Transform Domain
Authors:   Applied Mathematics, Pillai College of Engineering, Navi Mumbai, India., Chaudhari* Kamini K. , Sutar Chandrshekhar S. ,   Mathematicst, PSGVPM‟s A.S.C. College, Shahada, Maharashtra, India.
Published: November 2019

In the present work, a semi-analytical solution is presented for the thermoelastic response of a finite plate of rectangular geometry considering hyperbolic heat conduction model. The solution of thermoelastic displacement, thermal stresses and temperature are obtained using differential transform method under hyperbolic, non-Fourier heat conduction theory. For special case, thermal stresses and displacement functions are determined numerically and plotted graphically to analyze the effect of the thermal relaxation time.
Bifurcation Analysis of Logistic Map Using Four Step Feedback Procedure
Authors:   Department of Mathematics, Government College for Girls Sector 14, Gurugram-122001, India., Kumari* Sudesh , Chugh Renu ,   Department of Mathematics, Maharshi Dayanand University, Rohtak-124001, India., Nandal Ashish ,   Department of Mathematics, Pt. NRS Government College, Rohtak-124001, India.
Published: November 2019

The logistic map occupies a renowned place in the dynamics of chaos theory and in diverse areas of science. Picard orbit and Superior orbit (Mann orbit) have been used to control this discrete chaotic dynamical system. In this article, we further extend the analytical study of logistic map using a four step feedback procedure (SP orbit). The dynamical properties such as fixed point, range of convergence and stability, periodicity and chaos of the logistic map have been investigated. These properties are illustrated experimentally by adopting dynamical techniques like fixed point analysis and bifurcation plot. Using this approach, one can easily control the chaotic system and make the system stable for higher values of population growth parameter r by selecting the control parameters carefully.
An Efficient Anomaly Detection Based On Optimal Deep Belief Network in Big Data
Authors:   Research scholar, Manipal University, Jaipur, Rajasthan, Dahiya Priyanka , Srivastva Devesh Kumar ,   Professor with the department of School of Computing & Information Technology,Manipal University Jaipur, Rajasthan, India.
Published: November 2019

Nowadays, the internet and network service user’s counts are increasing and the data generation speed also very high. Then again, we see greater security dangers on the internet, enterprise network, websites and the network. Anomaly has been known as one of the effective cyber threats over the internet which increasing exponentially and thus overcomes the commonly used approaches for anomaly detection and classification. Anomaly detection is used in big data analytics to recognize the unexpected behaviour. The most commonly used characteristics in network environment are size and dimensionality, which are big datasets and also impose problems in recognizing useful patterns, For example, to identify the network traffic anomalies from the large datasets. Due to the enormous increase of computer network based facilities it is a challenge to perform fast and efficient anomaly detection. The anomaly recognition in big data sets is more useful to discover fraud and abnormal action. Here, we mainly focus on the problems regarding anomaly detection, so we introduce a novel machine learning based anomaly detection technique. Machine learning approach is used to enhance the anomaly detection speed which is very much useful to detect the anomaly from the large datasets. We evaluate the proposed framework by performing experiments with larger data sets and compare to several existing techniques such as fuzzy, SVM (Support Vector Machine) and PSO (Particle swarm optimization). It has shown 98% percentage of accuracy and the false rate of 0.002 % on proposed classifier. The experimental results illuminate that better performance than existing anomaly detection techniques in big data environment.
Optimal Placement and Capacity of UPFC Using JMFALO Technique to Upgrade Power System Dynamic Stability
Authors:   Research Scholar, Department of Electrical and Engineering, S.V.University College Of Engineering, Tirupati, India,, Madhuranthaka* Tarasi , Manohar T. Gowri ,   Professor, Department of Electrical & Electronics Engineering, S.V.Univeristy College of Engineering, Tirupati, India,
Published: November 2019

This paper proposes an optimal placement and capacitance of UPFC for enhancing the dynamic stability of a power system using a new hybrid optimization technique. The hybrid optimization technique is the joined execution of both the moth flame optimization (MFO) and ant lion optimization (ALO) and hence it is named as Joined moth flame ant lion optimization (JMFALO) technique. Here, the MFO technique optimizes the maximum power loss line as the suitable location of the UPFC by considering the variation available in the bus system power flow parameters like voltage, angle, real power and reactive power. Dependent on the ALO technique the influenced location parameters and dynamic stability constraints are restored into secure limits utilizing the optimum capacity of the UPFC with least voltage deviation, loss of power, and reduced installation cost. Subsequently, to restore the dynamic stability constraints at a secure limit the optimized UPFC capacity is utilized. The dynamic stability constraint of the system is power balance constraint, active and reactive power loss, and UPFC installation cost and bus voltage constraints. The proposed technique is implemented in MATLAB/Simulink working platform. The performance of the proposed technique is assessed by utilizing the comparison analysis with the existing techniques.
Bamboo Concrete Bond Strength
Authors:   Research Scholar, Civil Engineering Department, College of Engineering, Pune, India., Wairagade* Vijay R. , Sonar Dr. Ishwar P. ,   Associate Professor, Civil Engineering Department, College of Engineering, Pune, India.
Published: November 2019

Bamboo reinforced concrete is expected to be an alternative to steel reinforced concrete as a building material. Steel, when used for construction activities, is energy intensive and causes pollution. In this context, the use of bamboo, which is a fast growing, affordable and ecologically friendly solution; especially in a tropical country like India, is being considered as a suitable material for structural applications. It is potentially superior to steel in terms of its weight to strength ratio. However, the bond strength is a major concern for the bamboo to be a reinforcement in structural composites. The goal of this paper is to investigate the bonding properties of a newly developed bamboo-reinforcement composite in concrete, through pull-out tests. Various coatings are applied to the bamboo to determine the different bonding behaviours between the concrete and newly developed BRC. To improve the bonding at interfacial of bamboo concrete composite; easily applicable, adoptable and economical technology have been developed. The results of this study demonstrate that the bamboo-reinforcement composite develops adequate bonding with the concrete matrix with the hope that the newly developed material could contribute, on a large scale, to sustainable development.
Bioética y género: análisis desde la vulnerabilidad humana
Authors: De los Ríos María Elizabeth
Published: November 2019

El artículo aborda la relación entre la bioética y la ideología de género a partir de la noción de vulnerabilidad. Así, se afirma que la segunda pone a la persona en una situación de mayor vulnerabilidad al carecer de un fundamento ontológico que la sostenga y, por ende, pudieran desprenderse, de esto, prácticas poco éticas para con quienes se engloban dentro de alguno de los grupos residuales de la misma. Se parte, por tanto, del origen de la ideología de género para, posteriormente, ubicar las problemáticas más frecuentes que se presentan, en el terreno de la Bioética, a partir de la vulnerabilidad antropológica y social. Por último se rescata el papel de la Bioética en la intervención de las poblaciones vulnerables y vulneradas en el marco del tema del género.