bluuebunny/crossref_metadata_2025 huggingface dataset:
Equivalent Stiffness Methods for Free Vibration and Bending of Bimodular Composite Laminated Thick Curved Beam
Authors:   Research Scholar, Department of Mechanical Engineering, NIT Durgapur, India., Kumar Amrendra , Sk Nasir Hasan ,   Research Scholar, Department of Mechanical Engineering, NIT Durgapur, India., Khan Kallol ,   Associate Professor, Department of Mechanical Engineering, NIT Durgapur, India.
Published: September 2019

In this research work an attempt has been made to analyzed the bending and free vibration behavior of bimodular composite material laminated thick curved beam based on first order shear deformation theory (FSDT). The effect of coupling parameter is more severe in bimodular laminated beam as compare to unimodular laminated beam. Therefore, equivalent stiffness methods (VS and RC) are used to incorporate the effect of all the coupling parameters. In the present analysis uniformly distributed load in transverse direction is considered. Hamilton’s principle is applied to elaborate governing equations from energy functional, and the equations are solved by analytical method. The position of neutral axis, transverse deflection, through the thickness strain distribution and frequencies for positive and negative side bending are presented for different bimodular composite material laminated curved beam. The results are presented for different stacking sequence and geometric parameter of the beam. The non-dimensional neutral surface location, positive and negative side bending deflections and positive and negative half cycle frequencies are having same magnitude for [00]4 or [00/900]s laminated curved beam of Material 1 (Aramid Rubber), and for Material 2 (Polyester Rubber) they are not same.
The Effect of Soft Soil Stabilization By using Lime as the Basic Soil Strength Material for Road in Merauke Regency
Authors:   Study Program of Civil Engineering, University of Musamus Merauke, INDONESIA., Hairulla  , Limantara Lily Montarcih ,   Faculty of Engineering, University of Brawijaya, Malang-INDONESIA,
Published: September 2019

Part of roads in Merauke Regency are damaged because of the soil supporting power is soft and not enough to get advantages if it is used as sub-grade soil. One of the ways to handle it is to carry out the mechanic as well as mechanic stability by using additional material. This research intends to know the California Bearing Ratio (CBR) value of subgrade, to know the effect of lime content due to the CBR of clay, the CBR value of sub-grade after being added with lime content, and to know the unconfined compressive strength value of sub-grade and soil after being mixed with lime. .The methodology consists of experimental method by using the mix of clay on the road of Kuda Mati-Tanah Wali-Wali, Merauke Regency with the lime from Wakatobi Regency due to the lime percentage variety of 3%, 6%, 9%, and 12%. Then, it is carried out the test of Atterberg limits, density, CBR swelling, CBR soaked, and test of unconfined compressive strength. The test is due to the lime percentage variety as above and the results of unconfined compressive strength value are 2,024 kg/cm2; 5,434 kg/cm2; 6,458 kg/cm2; 7,689 kg/cm2; and 7,019 kg/cm2. Results show that the sub-grade on the road of Kuda Mati-Tujuh Wali-Wali is as clay. Lime can change the soil characteristic better and it can increase the CBR of clay soil and increasing the value of soil unconfined compressive strength
Effect of Stacking Sequences on Impact properties of Kenaf - Areca Hybrid Epoxy Composite
Authors:   Research Scholar in the Department of Mechanical Engineering at Veltech Rangarajan Dr.Sagunthala R&D Institute of Science and Technology, Chennai, India., Sathyaseelan P. , Sellamuthu Prabhukumar ,   Assistant Professor in the Department of Mechanical Engineering at Veltech Rangarajan Dr.Sagunthala R&D Institute of Science and Technology, Chennai, , India.
Published: September 2019

In this research impact properties of the hybrid natural fiber composites made up of areca, kenaf fiber mats with a 10 wt. % of wood dust as the filler materials in six different stacking sequences are studied. The fibers are treated for 30 hours with 10 % of NaOH solution at room temperature to improve the adhesion properties of the fibers. The composites are made-up by hand lay-up procedure using unsaturated polyester resin combined with a catalyst of Methyl Ethyl Ketone Peroxide (MEKP) and accelerator of Cobalt. The fabricated composites are allowed to cure for 24 hours at room temperature by placing a dead weight which gives a compact pressure. After that the hybrid composites are cut as per ASTM D256 standard to carry out the impact test by Izod Charpy impact tester. Five samples in each stacking were tested for the average value. The impact energy absorbed by specimens with six different stacking sequences are compared. The morphological study of the fractured impact specimens are studied using Scanning Electron Microscope images.
Performance Evaluation of Automated System over Manual System of PPM in Urban Development
Authors:   Computer science department, Government PG College For Women,Sector-14,Panchkula,India, Malik Sapna , Sharma Parul ,   Computer Science department, Government PG College ForWomen,Sector-14,Panchkula,India
Published: September 2019

The role of Information and Communication Technology (ICT) improves the overall growth and economy of the country by implementing better services in smart city environment relating to the land and property. ICT implements proper management of properties through a single platform. Plot and Property Management (PPM) is a system which is made to improvise the manual system in urban areas. With the implementation of this system owner/allottees of the property can monitor the status of their application on internet. This system can reduce the rush in Estate Offices. This system brought transparency in the working of the current system. This system also increases the efficiency of the staff as compared to the earlier system.
Reinforced Concrete Jacketed Column and Its Formwork
Authors:   is an undergraduate in the Department of Civil Engineering from The National Institute of Engineering, Mysuru, India., Koushik Varchas , N.C Dr. Balaji ,   is an Assistant Professor and P.G. Structures co-ordinator in the Department of Civil Engineering from The National Institute of Engineering, Mysuru, India.
Published: September 2019

This study focuses on the planning and designing of a multistory building. Further, understanding the structural system of the designed building and its performance with respect to structural design forms an integral part of the study. While designing the building, certain material characteristics have been assumed and characteristics of the materials assumed in the design is verified for the suitability in the design. Assuming failure in one of the columns, retrofitting scheme have been suggested for the same, and also related tests are performed regarding the process of retrofitting by RC jacketing of short columns. A prototype of formwork system for jacketing has also been prepared for the same as an extension of this study.
On Experiment of Determining the Relationship between Ship Maneuverability and Gravity of Metacenter using Ship Model
Authors:   Faculty of Navigation, Vietnam Maritime University, 484 Lachtray, Lechan, Haiphong, Vietnam,, Nguyen Van Suong
Published: September 2019

Understanding of ship maneuverability and factors effecting to ship maneuverability is important to naval architectures and marine navigators. In ship control problems, the ship maneuvering characteristic must be considered before designing the controllers. With the development of science and technology, it allowed the studies of ship maneuvering to be performed in computation simulations. However, there are always the different results between computation simulation and the fact. For that purpose, this article presents an experiment to establish the quantitative relationship between metacentric height and ship maneuverability using scaled model ship.
Role of ICT in E-Governance: an Experience from Rural India
Authors:   Assistant Professor, University of Science and Technology, Meghalaya, India., Hazarika Dr. Joyjit
Published: September 2019

In the Rural India, Information and Communication Technologies (ICT) plays a big role for the overall socio-economic development in the villages. Currently many more projects are going on in India, which is purely based on the e-governance mode. In spite of various hindrances, it is found that Indian is moving smoothly towards digitization. Rural E-Governance is a fresh concept of applications which has shown the importance of ICT in the realm of rural growth in India. As government of India has a dream to digitalized India by 2020, so now it is urged to understand the relationship between the application ICT and people or technology and society at a larger perspective. In this paper both the primary and the secondary data is utilized. For the primary data, the experimental method is used. The paper is purely based on descriptive and analytical methodology. In this paper, try to understand the role of ICT and the issues and challenges face in the rural India with a suggestion to combat with it.
Development of Custom Interface Driver between USRP and SoC devices for SDR Applications
Authors:   Research Scholar, Department of Electronics and Communication Engineering, University College of Engineering, Osmania University, Hyderabad-500007, Telangana, India., Kumar Boya Pradeep , Paidimarry Chandra Sekhar ,   Professor ,Department of Electronics and Communication Engineering, University College of Engineering, Osmania University, Hyderabad-500007, Telangana, India.
Published: September 2019

Global Navigation Satellite System (GNSS) is used to provide position based on satellite constellation. The GNSS Software defined radio (SDR) is a software approach which is more flexible than Hardware receivers. In GNSS SDR, most of the RF frontends are interfaced with a host-Personal Computer (PC). The host-PC based GNSS-SDR systems suffer from computational complexity and latency between IQ samples of GNSS signals. There are several RF front ends available to capture the real time signals. Among all these, USRP RF frontends are flexible for the prototype development. Earlier the host-PC was interfaced with the USRP device for the SDR implementation. In this work the, USRP N210 is interfaced with Zynq SoC device for GNSS SDR applications. This approach will introduce parallelism, which in turn leads to reduction in latency between IQ samples. A custom Ethernet driver to interface the USRP N210 with Zynq SoC device is proposed. The experimental results showcase that the proposed SoC based approach is suitable for GNSS-SDR prototype.
Use of Secure Repository for Passwordless Handshake to Enhance the Authentication
Authors:   Professor, Dept. of CSE, Sir C R Reddy College of Engineering, Eluru, India., Krishna Dr. Marlapalli , Aluri Yuva Krishna ,   Assistant Professor, Dept. of CSE, P.V.P Siddhartha Institute of Technology, India., Battu Vishnu Vardhan ,   Assistant Professor, Dept. of CSE, P.V.P Siddhartha Institute of Technology, India., Kancharla Rakesh ,   Assistant Professor, Dept. of CSE, GVPCDPGC, Visakhapatnam, India., Rani Bandlamudi S B P ,   Assistant Professor, Dept. of CSE, Sir C R Reddy College of Engineering, Eluru, India.
Published: September 2019

In this paper we presented an innovative thought to provide better security for authentication procedure. In this procedure user’s password is restricted to transmit over the network, still provides the same security for authentication services. To accomplish this we have used smart card which adopts the Kerberos Protocol and a secure password repository. As the smart card system allows restricted access, it provides a secure place to keep credentials safe. Without revealing the secrets to public an authentication system may perform its scope by referencing to them through identifiers. This promotes the credibility of the mechanism while at the same time it achieves to reduce the overhead of the authentication systems due to the complex encryptions procedures.
Effect of Food Bio-Additives on Chemical and Amino Acid Compositions of Cooked Sausages
Authors:   Shakarim State University of Semey, Semey, Kazakhstan, Assenova Bahytkul , Amirkhanov Kumarbek ,   Shakarim State University of Semey, Semey, Kazakhstan, Dolmatova Irina ,   Nosov Magnitogorsk State Technical University, Magnitogorsk, Russia, Zaitseva Tatiana ,   Nosov Magnitogorsk State Technical University, Magnitogorsk, Russia, Somova Yuliya ,   Nosov Magnitogorsk State Technical University, Magnitogorsk, Russia, Gorelik Olga ,   Ural State Agrarian University, Yekaterinburg, Russia, Ponomarev Evgeniy ,   K.G. Razumovsky Moscow State University of technologies and management (the First Cossack University), Moscow, Russia, Zhirova Vera ,   K.G. Razumovsky Moscow State University of technologies and management (the First Cossack University), Moscow, Russia, Zhukovskaya Svetlana ,   K.G. Razumovsky Moscow State University of technologies and management (the First Cossack University), Moscow, Russia
Published: September 2019

Large number of various food additives is widely used in meat production. Sea cabbage, food additive “Laminaria” and “Iodactiv” added during preparing the sausages. Chemical analysis showed that cooked sausages with food additive “Laminaria” contains more protein, fat and mineral elements, such as calcium and iron than in other variants. The analysis of the nutritional and biological value of the developed cooked sausages shows that the degree of satisfaction of the balanced nutrition formula for most indicators mainly corresponds to the recommended biomedical requirements.
FGP in Multi-objective Non-Linear Fractional Optimization Model including Triangular Fuzzy Numbers
Authors:   Maharishi Markandeshwar (Deemed to be University), Mullana-Ambala,India,, Gupta Dr.Deepak , Kumar Dr.Suchet ,   Govt. Sec. Smart School, Fatta Maloka (Mansa), Education Department (Punjab), India,, Rani Namrata ,   Maharishi Markandeshwar (Deemed to be University), Mullana-Ambala,India,
Published: September 2019

The motivation behind this paper is to propose method to obtain compromized solution of Non-Linear fractional Optimization Model. In this paper, Multi-level multi-objective fully quadratic fractional optimization model (ML-MOFQFOM) is studied in which various objective functions are involved, generally have conflicting nature. FGP approach is being used to solve ML-MOFQFOM involving triangular fuzzy numbers. This paper deals with the ML-MOFQFOM in which fuzzy model converted into deterministic form through the help of  -cuts where  is the combined choice of all objective functions. An algorithm and examples are also presented to validate the proposed method.
Design of an Efficient Wideband Beamformer using OPSO
Authors:   Department of Electronics and Communication, Jaypee University of Information Technology, Solan, India,, Thakur Diksha , Baghel Dr. Vikas ,   Department of Electronics and Communication, Jaypee University of Information Technology, Solan, India,, Talluri Dr. Salman Raju ,   Department of Electronics and Communication, Jaypee University of Information Technology, Solan, India,
Published: September 2019

Wideband beamforming is a technique which is used to produce frequency invariant beampatterns over a wide signal bandwidth. In this paper, orthogonal particle swarm optimization (OPSO) based wideband beamformer is designed to achieve wideband beamforming. Simulations are carried out for two different scenarios to illustrate the capability of the algorithm for wideband beamforming. The beampatterns obtained from three different methods that are standard Frost algorithm, particle swarm optimization (PSO) and OPSO are compared by various parameters such as level of interference, deviation in interference angle and peak side lobe level. It is shown that by using OPSO, SLL (Sidelobe Level), null depth as well as angle deviation in nulls direction can be reduced as compared to PSO and Frost algorithms.
Effects of the Accidental Eccentricity on Regular and Irregular Buildings
Authors:   Structural Engineer in Amma Engineers Consultancy, Guntur, Andhra Pradesh, Zakaria Atif , Krishna M Shiva Rama ,   Asst. Professor in VFSTR University, Vadlamudi, Guntur, Andhra Pradesh, Krishna T.G.N.C.Vamsi ,   Structural Engineer in Amma Engineers Consultancy, Guntur, Andhra Pradesh, Baig Mirza Mahaboob ,   Asst. Professor in Priyadarshini Institute of Technology & Management, Pulladigunta, Guntur, Andhra Pradesh
Published: September 2019

The response of any building during seismic loading conditions might be affected by several factors, the horizontal torsion effect which generated by the eccentricity between centre of mass and centre of rigidity has conspicuous impact on the total response of building however, in many of the modern codes this influence is introduced by adopting the accidental eccentricity (AE) concept. In this paper analytical evaluation was done to assess the impact of the accidental torsion on high-rise structures with asymmetrical and symmetrical plan configurations in order to estimate the horizontal torsion effects for both regular and irregular structures during a high-intensity earthquake. The linear-static method, linear-dynamic (RS) method and time history method are the followed procedures for analysing the models, whilst the provisions of the considered codes are the Indian standard provisions and uniform building code 97 provisions, three different conditions were applied the first applying the seismic later load without accidental-eccentricity (AE), the second case is assuming %5 of (AE) which is worldwide presupposed value in many of seismic codes, where the third condition is adapting an accidental-eccentricity (AE) calculated according to the selected seismic codes. ETABS 2016 Software was utilized for analysing all models.
Transformer Optimal Protection using Internet of Things
Authors:   Assistant Professor, Department of ECE and Head, Center for Embedded Systems & Internet f Things. S R Engineering College, Warangal, Telangana, India, Arabelli Rajeshwar Rao , Rajababu D. ,   Associate Professor, Department of EEE, S R Engineering College, Warangal, Telangana, India
Published: September 2019

In power system transmission and distribution transformers plays crucial role. As per the consumer requirement the transformers either step up or step down voltages and deliver the power. Sometimes they are operating under overload conditions. In this paper, Microcontroller and different types of sensors can be used to protect the transformer against over load and various internal faults. Real time monitoring of the transformer is also an important part in the transformers protection. A prototype hardware module has designed to sense the temperature raise and pressure in the transformer tank using micro controller based sensors. The monitoring and protection can avoid various faults in the transformer and it can give better performance.
Application of Navigation with Indian Constellation (NavIC) Signals for Ionosphere Irregularities Measurement
Authors:   Department of Electronics and Communication Engineering, G.Pullaiah College of Engineering & Technology, Kurnool, India, Swamy Dr. K.C.T. , Farida Mohammed Abdul ,   Department of Electronics and Communication Engineering, G.Pullaiah College of Engineering & Technology, Kurnool, India, Jyothirmai M. ,   Assistant Professor in ECE department, RCEW, Kurnool, India., Ahmed S. Towseef ,   Junior Research Fellow in ECE department, GPCET, Kurnool and area of research interest includes GNSS, Communication and Embedded Systems, India.
Published: September 2019

Soon Indian’s mobile phones and cars are to be installed with new and indigenous satellite technology, i.e. Navigation with Indian Constellation (NavIC) developed by ISRO. After successful completion of NavIC, India has become fifth nation in the sequence of countries with independent navigation technology/system. The NavIC technology will be used mainly for terrestrial, aerial and marine navigation along with tracking and disaster management. Here we are proposing the application of NavIC signals for measuring and montoring ionosphere layer behaviour leading accuracy degradation of satellite based navigation and communication systems. This paper presents the computation of ionosphere parameters such as TEC, ROTI and scintillation index (S4) using pseudo range and Carrier to Noise density ratio (C/No) measurements of NavIC L5 and S-band signals. ROTI and S4 results revealed that the impact of ionosphere irregularity is more on L5 than that of S-band signals.
Influence of the Climate Change On The Stock Market
Authors:   Research Scholar, Department of Computer Science and Engineering, Vignan's Foundation for Science, Technology & Research (Deemed to be University) , Guntur, AP, India., Deepika N. , Mundukur Dr. M.Nirupama Bhat ,   Associate Professor in the Department of Computer Science and Engineering , Vignan's Foundation for Science, Technology & Research (Deemed to be University) , Guntur, AP, India, Paul Dr P. Victer ,   Department of Computer Science and Engineering, Indian Institute of Information Technology Kottayam, Valavoor P.O, Pala, Kottayam, Kerala, India
Published: September 2019

The parameters of the natural climate are rainfall, humidity, maximum temperature, minimum temperature in a day, carbon dioxide emissions, solar radiation intensity etc, if there is an abrupt changes in the parameters it will cause natural calamities. The risk of business not only effected with right decisions at right times and also effected with climate changes; as the action of purchasing the goods by the people are influenced by the climate. Bankers are at high risk, they face difficulties in collecting the loans. Climate physical changes may damage properties of the governments and individual people. People get financial losses so they change their purchasing behavior. Both the weather and climate have a great influence on the behavior of tourist; better the climate more the tourism business. While the floods caused to downfall the finances of people living in the state, they could also have an impact on the portfolios of thousands of others in the form of stocks of companies with links to that particular state. Here we considered the real time scenario: remarkable heavy rainfall during the monsoon season causes the severe floods which was happened from 9th August 2018, affected the India’s south state Kerala. Due to the intense flooding the red alert was announced by the Kerala State Disaster Management Authority. Because of this, a major damage was happened to various sectors like tourism, transportation, business, finance etc. All the operations of Cochin International Airport, Kerala which was India's fourth busiest international traffic were suspended for more than 15 days in August, for the reason runway flooding .In this paper, it is aimed to examine the effect of rain fall at flood time in Kerala on related stocks and gold rates of Kerala.
A Hybrid Blind Watermarking With Redundant Discrete Wavelet and Hadamard Transform
Authors:   M.Tech scholar, Department of Electronics and Communication Engineering, Gokaraju Rangaraju Institute of Engineering and Technology, Hyderabad, India., Yasasvy T. , Sushil K. Venkat ,   B.Tech scholar, Department of Electronics and Communication Engineering, Gokaraju Rangaraju Institute of Engineering and Technology, Hyderabad, India., Meenakshi K. ,   Professor, Department of Electronics and Communication Engineering, Gokaraju Rangaraju Institute of Engineering and Technology, Hyderabad, India., Swaraja K. ,   Professor, Department of Electronics and Communication Engineering, Gokaraju Rangaraju, Institute of Engineering and Technology, Hyderabad, India., Kora Padmavathi ,   Professor, Department of Electronics and Communication Engineering, Gokaraju Rangaraju Institute of Engineering and Technology, Hyderabad, India,
Published: September 2019

The rapid growth in usage of digital technologies brings tremendous interest to the field of digital authentication. Digital watermarking is one of the most powerful authentication techniques used to restrict unauthorized usage of copyrighted images. Unique logo can be inserted into different copies of the same digital image for different clients. This will curtail the illegal usage. Most of the earlier works used Redundant Discrete Wavelet (RDWT) transform in combination with SVD. These watermarking schemes suffered with false positive problem. Hence, in this work, a hybrid blind watermarking is developed by using a combination of Redundant Discrete Wavelet (RDWT) and Hadamard transform to get rid of false positive problem and to produce imperceptible, robust and secure watermarking scheme.
Estimating Available Bandwidth using End-To-End Delay Increase Rate
Authors:   Associate Professor, Department of CSE, Annamacharya Institute of Technology & Sciences, Rajampet, Andhrapradesh, India, Reddy K.Uday Kumar , Reddy G.Chennakesava ,   PG Student, Department of CSE, Annamacharya Institute of Technology & Sciences, Rajampet, Andhrapradesh, India, Kumar M.Rudra ,   Professor & HOD, Department of CSE, Annamacharya Institute of Technology & Sciences, Rajampet, Andhrapradesh, India
Published: September 2019

For real-time services such as voice over internet protocol, video conferencing and peer-to-peer streaming, end-to-end bandwidth estimation is very essential. Several available techniques for estimating bandwidth have been suggested such as Magictrain, IGI / PTR, pathChirp, Yaz and ASSOLO. However, in terms of the accuracy of available bandwidth estimation and/or network load efficiency, these techniques have disadvantages. In this article, we present an available technique of estimating bandwidth consisting of two features to provide high accuracy estimation and low efficiency of network load. One feature is the accessible bandwidth assessment feature that uses the end-to-end delay increase rate to directly calculate the available bandwidth. The other feature is the rate adjustment algorithm which adjusts the mistake calculated using the available bandwidth assessment feature between the real accessible bandwidth and the accessible bandwidth. The suggested method's rate adjustment algorithm is based on Magictrain's because Magictrain offers high precision in estimating accessible bandwidth. Finally, in terms of estimation precision and network load efficiency, we compare the suggested technique with Magictrain using computer simulation and show the effectiveness of the suggested technique.
Reckoning Network Lifetime Ratio for Wireless Sensor Network
Authors:   Research Scholar VTU Belgavi, Research Centre is Department of Electronics and Communication, Vivekananda Institute of Technology, Bangalore, India., Saqhib Mohamed Najmus , S Dr Lakshmikanth ,   Associate Professor, Department of Electronics and Communication Engineering, Acharya Institute of Technology, Bangalore, India.
Published: September 2019

Advanced Technologies such as Internet of Things, Machine Networking give rise to the deployment of autonomous Wireless Sensor Nodes. They are used for various domains namely battlefield monitoring, enemy detection and monitoring the environment change. These Wireless Sensor Nodes have the properties of low cost and high battery life. NL (Network Lifetime) is an important phase of Wireless Sensor Network (WSNs), in which the nodes can maintain sensing for a more amount of time. NL can be improved by use of multiple techniques namely Opportunistic Transmission, Scheduling of Timed Data Packets, Clustering of Nodes, Energy Harvesting and Connectivity. This paper provides the energy consumption computation, life time ratio definition and the overview of NL improvement techniques. The paper also presents brief review of the Destination based and Source based routing algorithm.
A Ring Oscillator Based Random Generator for Cryptography Applications
Authors:   Research scholar, Sathyabama Institute of Science and Technology, Dinesh R. , Marimuthu Dr.Ramalatha ,   Professor/ECE Kumaraguru college of technology
Published: September 2019

A ring oscillator based Random number generator (RNG) for Cryptography applications is presented. The paper explains about the requirements and generation of high randomness based codes, used to improve the security in data communication. The methodology used is sampling technique, adopted in the oscillator for the random number generation. To get better randomness in the output bits of RNG, a processor module based on Linear feedback shift register is used. The proposed RNG is designed with bit rate is 100kb/s, with a power consumption of 37μw. After implementation in hardware, this can be used for cryptography encryption applications to enhance the security. The system is simulated and synthesized with Xilinx ISE and the results are compared with the existing system based on randomness, power consumption, etc.
i- Rosa, Improved Uncertainty Aware Workflow Scheduling Algorithm
Authors:   Computer Science & Engineering, University Institute of Technology, RGPV, Bhopal, India., Bulchandani Namrata , Agrawal Dr. Shikha ,   Computer Science & Engineering, University Institute of Technology, RGPV, Bhopal, India., Chourasia Prof. Uday ,   Computer Science & Engineering, University Institute of Technology, RGPV, Bhopal, India., Dixit Priyanka ,   Computer Science & Engineering, University Institute of Technology, RGPV, Bhopal, India., Sharma Smita ,   Computer Science & Engineering, University Institute of Technology, RGPV, Bhopal, India.
Published: September 2019

Many applications running in cloud computing environment are workflow applications which contain large number of precedence specific tasks and so require proper schedule in order to complete successfully. Efficient scheduling of workflow applications is a challenging task. In workflows, the uncertainties like ‘uncertain data transfer time’ among dependent tasks and the uncertain task execution time, if ignored may lead to deadline violation. The proposed workflow scheduling algorithms so far unconcerned these uncertainties. This paper presents an improved unceRtainty aware workflow scheduling algorithm abbreviated as i-ROSA, that considers the uncertainties of scheduling workflows such as the uncertain running time of tasks in distributed environment when focused upon gave the superior outcome in way of cost and resource utilization, for DAG when compared with the original algorithm. The compared task scheduling algorithms are implemented in Workflowsim.
Performance Escalation and Optimization of Overheads in the Advanced Underwater Sensor Networks with Internet of Things
Authors:   Associate Professor, Dept of CSE, JJT University, Jhunjhunu, Rajasthan, India, Sharma Dr Yogesh Kumar , Pradeep S ,   Research Scholar, Dept of CSE, JJT University, Jhunjhunu, Rajasthan, India
Published: September 2019

In today’s world, a huge range of devices are interconnected with the wireless technologies which gave the dawn to the state-of-the-art technology of Internet of Things (IoT). A number of smart gadgets and machines are now monitored and controlled using IoT protocols. The technologies of IoT are now spread to the entire world by which there is all time connectivity in the devices connected using IoT. From the research reports of Statista.com, The sale of smart home devices elevated from 1.3 billion dollars to 4.5 billion dollars from year 2016 to year 2019 in the United States. As per the news from Economics Times, there will be around 2 billion units of eSIM based devices by year 2025. With the use of eSIM, the subscribers can use the digital SIM card for the smart devices and the services can be activated without need of the physical SIM card. It is one of the recent and secured applications of Internet of Things (IoT). Beyond the traditional applications, IoT is under research for the environment monitoring and prior notifications to the regulating agencies so that the appropriate actions can be taken. The reports from LiveMint.com underline that Indian Institute of Technology (IIT) and Ericsson getting associated for handling the air pollution in Delhi. As per the news report by Grand View Research Inc., the global NB-IoT market size is presented to touch more than 6,000 million dollars by year 2025. NB-IoT refers to the radio technology standard with low-power wide-area network (LPWAN) so that the huge coverage of smart devices can be done with higher degree of performance in the connectivity. The research manuscript is presenting the use case analysis of underwater network with the integration of IoT so that the all time connectivity and performance can be analyzed on the assorted dimensions.
Aggrandizing the Accuracy of Body Fat Percentage by Stratification using Decision Tree
Authors:   Research Scholar, Department of Computer Science, Presidency College, Affiliated to The University of Madras, Chennai, India, Hannah J. Grace , Gladis Dr. D. ,   Principal, Bharathi Women’s College.Chennai, India.
Published: September 2019

Bariatrics is the branch of science which deals with obesity and its related surgical procedures. A person’s physical indolence, unhealthy food habits and genetic constitution emanates as the fons et origo of health gremlins. Multifaceted indagations have been worked on the diverse and heterogenous obstinate concerns caused due to obesity. Anatomization of body fat percentage has become a rudimentary regimen for every individual to be done in a fastidious manner. The whilom work anent body fat percentage entailed Body Mass Index (BMI) with respect to age and gender of a person. The anatomical conformation of an individual unraveling the fat constitution and the muscle tissue composition is not computationally enumerated using BMI. Thus, the formula using BMI dempers the veracity for a person having more muscle mass than fat mass and speciously vitiates the fat percentage of that person. The proposed novel formula is analyzed by cross-validated classification model using decision tree, and is effectuated by implementing information gain. This accentuates the coherence, efficacy and accuracy of the derived body fat percentage for a person. The Ethical Committee approval for this study has been obtained from the Institutional Ethics Committee, Madras Medical College, Chennai. The empirical study has been simulated using Matlab and the results have been successfully acquired in the GUI mode.
Classification of Action Based Video using Heterogeneous Feature Extraction and SVM
Authors:   Computer Science and Engineering Department, NITTTR Chandigarh, India, kaur Chandrawal , Doegar Amit ,   Computer Science and Engineering Department, NITTTR Chandigarh, India
Published: September 2019

Action recognition (AR) plays a fundamental role in computer vision and video analysis. We are witnessing an astronomical increase of video data on the web and it is difficult to recognize the action in video due to different view point of camera. For AR in video sequence, it depends upon appearance in frame and optical flow in frames of video. In video spatial and temporal components of video frames features play integral role for better classification of action in videos. In the proposed system, RGB frames and optical flow frames are used for AR with the help of Convolutional Neural Network (CNN) pre-trained model Alex-Net extract features from fc7 layer. Support vector machine (SVM) classifier is used for the classification of AR in videos. For classification purpose, HMDB51 dataset have been used which includes 51 Classes of human action. The dataset is divided into 51 action categories. Using SVM classifier, extracted features are used for classification and achieved best result 95.6% accuracy as compared to other techniques of the state-of- art.
Energy Absorption, Secant Modulus and Compressive Strength of Fiber Reinforced High Fly Ash Content Cement Treated Soil
Authors:   Department of Civil Engineering, Central Institute of Technology, Kokrajhar, India., Omo Yachang , Kalita Ajanta ,   Department of Civil Engineering, North Eastern Regional Institute of Science and Technology, Nirjuli, India.
Published: September 2019

This paper presents the results of an experimental investigation that was conducted to study the behavior of fiber-reinforced, high fly ash content and cement treated soil specimens under unconfined compression tests. The effect of fiber inclusions, curing time and fly ash-cement (FA/C) ratio on unconfined compressive strength (UCS), energy absorption (EA), secant modulus of elasticity (ES) and brittleness index (IB) have been studied. Fly ash of 50% and 70%, and cement content of 1.5% and 2% by weight of soil were used in this study. The fly ash and cement as a cementing agent played a significant role in increasing the compressive strength. The unreinforced mix specimens showed a significant improvement in UCS. The fiber inclusions further increased the compressive strength and improved the ductility of the mix specimens. The increase in fiber inclusion was observed to have an increasing effect on UCS, energy absorption, and secant modulus. The increase in curing period (0, 7, 14 and 28 days) also had similar effect on UCS, EA, and ES. However, the increase in fiber content decreased the brittleness index whereas the increase in FA/C ratio increased the brittleness index of the mix specimens. The study suggests a viable method for improving UCS and reduce brittleness of the soil media which may be beneficial for subgrade stabilization.
K-means Clustering Algorithm Based on E-Commerce Big Data
Authors:   Research Scholar, Dept. of Computer Science and Engineering, SSSUTMS, Sehore, Madhya Pradesh, India., Shaik Indivar , Nittela Swapna Suhasini ,   Research Scholar, Dept. of Computer Science and Engineering, SSSUTMS, Sehore, Madhya Pradesh, India., Hiwarkar Dr. Tryambak ,   Professor, Dept. of Computer Science and Engineering, SSSUTMS, Sehore, Madhya Pradesh, India., Nalla Dr. Srinivas ,   Principal, Sahaja Institute of Technology & Science for Women, KarimNagar, Telangana, India.
Published: September 2019

As the technology improving, huge volumes of different types of data is being generated rapidly. Mining such data is a challenging task. One of the important tasks of mining is to group similar objects or similar data into cluster which is very much useful for analysis and prediction. K-means clustering method is a popular partition based approach for clustering data as it leads to good quality of results. This paper focuses on K-means clustering algorithm by analyzing the E-commerce big data. In this research, geographical location and unique identification number of the customer are considered as constraints for clustering.
A Hybrid Arima and Discrete Wavelet Transform Model for Predicting the Electricity Consumption of Punjab
Authors:   Department of Computer Science and Engineering, Chitkara University, India, Kaur Harveen , Ahuja Sachin ,   Department of Computer Science and Engineering, Chitkara University, India
Published: September 2019

The significant increase in the world population increases the demand for energy which seems to be alarming for the electricity production boards in the existing time. In the last decade, there are various engineering, simulation tools, and artificial intelligence-based methods such as Support Vector Machine and Artificial Neural Network proposed in the literature to forecast the optimal electricity demand. But these models seldom to work with the linear data. In this paper, a reliable prediction model using the linear time series data of the previous years from January 2013 to December 2017 has been presented to forecast the electricity consumption in Punjab, India. Initially, Discrete Wavelet Transform (DWT) analysis presented to extract the upper and lower limit of the previous year dataand then Auto-Regressive Integrated Moving Average (ARIMA) model has been applied to extract the forecast values. The experimental results compared the original and predicted value using the proposed model to evaluate the effectiveness of the proposed approach. The results show that the difference between the original and proposed modelis only 9% while that of ARIMA only it is 11%. Thus, the proposed model using ARIMA and DWT provides effective results in predicting the forecast value.
Matrix Maxima Method to Solve Multi-objective Transportation Problem with a Pareto Optimality Criteria
Authors:   Research Scholar, Hindu College, Moradabad., Singh Khilendra , Rajan Dr. Sanjeev ,   Associate Professor, Deptt. of Mathematics, Hindu College, Moradabad.
Published: September 2019

In this paper we proposed a new method (Matrix Maxima Method) using Geometric mean approach to solve multiobjective transportation problem with a Pareto Optimality Criteria. Fuzzy membership function is used to convert objectives into membership values and then we take Geomertic mean of membership values. We used a different criteria to find Pareto Optimal Solution. This is an easy and fast method to find the Pareto Optimal solution. The method is illustrated by numerical examples. The result is compared with some other available methods in the literature.
Position Tracking of ML System using CSA Based PID Controller
Authors:   Department of Electrical and Electronics Engineering, Malla Reddy Engineering College (A), Maisammaguda, Secunderabad – 500100, India., Ananthababu P. , Sudha K. Rama ,   Department of Electrical Engineering, Andhra University College of Engineering (A), Andhra University, Visakhapatnam- 530003, India.
Published: September 2019

The classical proportional integral derivative (PID) controllers are still use in various applications in industry. Magnetic levitation (ML) systems are rigidly nonlinear and sometimes unstable systems. Due to inbuilt nonlinearities of ML systems, tracking of position of ML Systems is still difficult. For the tracking purpose of position, PID controller parameters are found by choosing Cuckoo Search Algorithm (CSA) of optimization. The ranges of parameters are customized by z-n method of parameters. Simulation results show the tracking of position of ML systems using conventional and optimized parameters obtained with the CSA based controller.
A Combined Filter Wrapper Classification Method for Gene Selection from Gene Expression Datasets
Authors:   Department of Computer Science and Engineering, Siksha ‘O’ Anusandhan Deemed to be University Bhubaneswar, Odisha, India., Panda Suchishree , Das Kaberi ,   Department of Computer Science and Engineering, Siksha ‘O’ Anusandhan Deemed to be University, Bhubaneswar, Odisha, India., Mishra Debahuti ,   Department of Computer Science and Engineering, Siksha ‘O’ Anusandhan Deemed to be University, Bhubaneswar, Odisha, India., Pradhan Ashwini Kumar ,   Department of Computer Science and Engineering, Siksha ‘O’ Anusandhan Deemed to be University, Bhubaneswar, Odisha, India.
Published: September 2019

In the generic sense, Gene Selection methods are implemented upon a huge gene bank to decisively corner and expose certain genes that are indicative of say, diseases with their own set of classifications. The lightening surge about the DNA microarray dataset and its huge influence in the scientific realm has led different fields with the likes of Ecology, Bioinformatics, Computer Science, etc., making giant strides in their respective researches. DNA microarray research field threw open a desirable scope for path-breaking methods to be employed for gene selection, aimed at classifying those informative genes. Gene expression data classification is realized and aspired at the wake of a huge data size, boasting a usually miscellaneous yet a dissuasive composition that serves a challenge for data miners. The ideas and research work expressed below is a cohesive approach where a hybrid method linking every filter method (Information Gain / Pearson Correlation Coefficient / Relief-F) with that of wrapper (Genetic Algorithm / Forward Selection Backward Elimination / Practical Swam Optimization), through all permutation and combination, the accuracy of gene data (after being put through Support Vector Machine (SVM) model classifier) is optimized to the maximum and authenticated, yielding the optimum results in accordance with the requirements. Comparison between all filter, wrapper and hybrid methods are done by applying it on three microarray cancerous dataset.
Performance Evaluation of Machine Learning Models for Diabetes Prediction
Authors:   Dept. of MCA, CMRIT, Bangalore, India., Rani J Dr.Vakula , Jakka Aishwarya ,   Graduate student, Information Science at Pittsburgh, USA.
Published: September 2019

Diabetes is one of the prevalent diseases all over the world. As per the International Diabetes Federation (IDF) report of the year 2017, diabetes is prevalent in about 8.8% of the Indian adult population and is one of the top ten causes of death in India. In untreated and unidentified diabetes could cause fluctuations in the sugar levels and extreme cases, damage organs such as kidneys, eyes, and arteries in the heart. By using Machine learning algorithms to predict the disease from the relevant datasets at an early stage could likely save human lives. The purpose of this investigation is to assess the classifiers that can predict the probability of disease in patients with the greatest precision and accuracy. Experimental work has been carried out using classification algorithms such as K Nearest Neighbor (KNN), Decision Tree(DT), Naive Bayes (NB), Support Vector Machine (SVM), Logistic Regression (LR) and Random Forest(RF) on Pima Indians Diabetes dataset using nine attributes which is available online on UCI Repository. The performance of classifier is evaluated based on precision, recall, accuracy and is estimated over correct and incorrect instances. The results proved that Logistic Regression (LR) performs better with the accuracy of 77.6 % in comparison to other algorithms.
Building Management System
Authors:   Pg Student, Mlr Institute Of Technology, Dundigal, Hyderabad, Pradeep G. , shaker P. Chandra ,   Pg Student, Mlr Institute Of Technology, Dundigal, Hyderabad, Prasad SVS ,   Pg Student, Mlr Institute Of Technology, Dundigal, Hyderabad
Published: September 2019

A Building Management System is also known as Building Automation System (BAS), It is a Computer based control system installed in buildings that controls and monitors buildings mechanical and electrical equipment such as ventilation, lighting, power systems and security systems. A building management system for METRO includes inputs from the systems like HVAC (Heating Ventilation Air Conditioning), Lifts Escalators, UPS and Fire Alarm and Detection System etc. A Building Management system uses a PLC controller along with SCADA suite to monitor and control all the systems included in the Metro. BMS provides Automatic Fault Detection System and diagnosis strategies for building energy performance.
Special Pythagorean Triangles with Sum of their Two Legs as Undecic
Authors:   Department of Mathematics, St. Aloysius College (Autonomous), Jabalpur, India., Darbari Mita , Darbari Prashans ,   Indian Institute of Science Education and Research, Mohali, India.
Published: September 2019

Some Special Pythagorean Triangles, where the sum of two legs is undecic, are found. An application of such few triangles is realized in cryptography. Various interesting results are seen.