bluuebunny/crossref_metadata_2025 huggingface dataset:
Enriching Image Retrieval System Through CNN for Sketches And Images
Authors:   Department of Computer Engineering, Pune Institute of Computer Technology, Pune, India., Kukdeja* Shreya , Phakatkar Prof. A. G. ,   Department of Computer Engineering, Pune Institute of Computer Technology, Pune, India.
Published: October 2019

Image retrieval is being a one of the widely research areas in the current paradigm of the software industry. This is mainly due to as a proverb "image can speak many words", which is because of its diversity of the contained objects and their pattern. Many search engines including Google, is providing the option of searching images by giving query image, most of the time this searching is done by the averaging the features of the images which yields considerable low precision. Convolution neural network and Recurrent neural network are widely used mechanisms to handle the image processing techniques in image retrieval. On using of CNN and RNN many systems are yielding the low accuracy because of the features that they are considering. And again, only finger counting systems are dealing with the image retrieval mechanism for the input of the object rather than the whole image. So as a tiny step towards this, this research article proposes a model of image retrieval using the input as image sketch and images using the histogram features and Region of interest based on the position, volume, color and orientation through the interactive CNN model. The image search is performed using the CNN through K means Clustering and Haar wavelets.
Classification and Detection of Faults in Induction Motor using Dwt with Deep Learning Methods under the Time-Varying and Constant Load Conditions
Authors:   pursuing PhD in Electronics Engineering Department from YMCA University of Science and Technology, Faridabad., Sheokand* Kalpana , Turk Neelam ,   Associate Professor in Electronics Engineering Department in YMCA University of Science and Technology, Faridabad(Haryana).
Published: October 2019

This article proposed a method to detect the faults in multi-winding induction motor using Discrete Wavelet transform combined with Deep Belief Neural Network (DBNN). This technique relies on the instantaneous reactive power signal decomposition, from which detail coefficients and wavelet approximations are extracted which are termed as features. In order to obtain a robust diagnosis, this article proposed to classify the feature vectors extracted from DWT analysis of power signals using DBNN (Deep Belief Neural Network) to distinguish the motors state. Subsequently, in order to validate the proposed approach, a three phase squirrel cage induction machine is simulated under MATLAB software. To check the effectiveness of the proposed method of fault diagnosis the motor is simulated in different simulation environments like time varying load and constant load condition. Promising results were obtained and the performance of DBNN i.e. 99.75% accuracy. The proposed algorithm is compared with various other state-of-art methods and the comparison proves its robustness in diagnosing the fault in motors.
Seismic and Wind Analysis of Regular and Irregular RC Structures with Tuned Mass Damper
Authors:   Post graduate student Department of Civil Engineering, KJ College of Engineering & Management Research, Pune-411048, India., Kadam* Deepak P. , Pujari Dr. Atul B. ,   Associate Professor Department of civil engineering, KJ College of Engineering & Management Research, Pune-411048, India., Khosla Vipul N. ,   Post graduate student Department of Civil Engineering, KJ College of Engineering & Management Research, Pune-411048, India.
Published: October 2019

Latest trend in the development high rise structure demanding taller and lighter structures, which are progressively adaptable with very low damping ratio. As the structures developing vertically, they are ending up all the more affecting by powerful excitation forces, for example, wind and seismic forces. For the more safety of structure and inhabitant's solace, the vibrations of the tall structures become a major issue for both structural designers. So as to control the vibration, various methodologies are proposed out of the few systems accessible for vibration control. Out of numerous methods, TMD has been observed to be increasingly powerful in controlling the dynamic forces caused due to seismic and wind excitations. In this paper, the adequacy of TMD in controlling the dynamic reaction of structures and the impact of different ground movement parameters on the seismic viability of TMD is researched. Essentially, a TMD is a vibratory subsystem appended to a bigger scale host structure so as to lessen the dynamic reactions. The frequency of damper will tuned to essential structure's frequency, so when frequency is high, the damper will results to resonate out of phase along with structural movement. The objective of this work is to study the impact of TMD on the dynamic forces brought about by seismic tremor and wind excitations in standard just as unpredictable in tall RC building structures. For that three 22 story RC building structures are considered with a similar arrangement out of which one ordinary regular structure and the other two are irregular RC structures are demonstrated in Etabs. In irregular RC structures, Stiffness irregularity and torsional irregularity are considered. For assessing seismic and wind reactions of structures, time history analysis, and static analysis used, with and without the tuned mass damper in ETABS. The outcomes acquired from the investigation of three 22 story RC structures with and without tuned mass damper are compared.
Multi Variant Feature Similarity Based Behavior Tracking in Video Surveillance using Ann
Authors:   Computer Science and Engineering, St. Xavier’s College of Engineering, Anna University, Nagercoil, India., L* Shana , Christopher Prof Dr. C Seldev ,   Computer Science and Engineering, St. Xavier’s College of Engineering, Anna University, Nagercoil, India
Published: October 2019

The problem of video surveillance has been well studied which has been adapted for several issues. The behavior of any human can be monitored through video surveillance. There are number of approaches available for the video surveillance and behavior analysis. The previous methods uses background models, object tracking for the problem of behavior analysis. The methods suffer with poor accuracy in behavior analysis. To improve the performance, a multi variant feature similarity model based behavior tracking in video surveillance is presented. The method involves in identifying interest points throughout the images of video. Second, the changing feature has been identified to measure the multi variant feature similarity by using multi variant feature model. Based on the MVFS, the object tracking is performed. The human tracking is performed in the same way and the multi variant features are trained with artificial neural network which has number of behavior classes. At the testing phase, the video has been removed with background features according to the multi feature model adapted. Once the object has been identified, then tracking and behavior analysis is performed by measuring MVFS with the features at different behavior classes. The artificial neural network has been used for the classification of behavior identified through video surveillance. The method would produce higher accuracy and improves the performance.
Terminal Wiener Index of Balanced Trees
Authors:   Department of computer science and engineering National Institute of Technology TrichyTamilnadu INDIA, A* Sulphikar
Published: October 2019

for A Tree T, The Terminal Wiener Index TW(T) Is Defined As Half The Sum Of All Distances Of The Form D(U, V), Where The Summation Is Over All Possible Pairs Of Pendent Vertices U,V In T . We Consider A Class Of Balanced Binary Trees Called 1-Trees And Compute Their Terminal Wiener Index Values. We Also Determine 1-Trees With Minimum And Maximum Terminal Wiener Index.
Deep Learning Through Convolutional Neural Networks
Authors:   Computer Department, Institute of Industrial & Computer Management & Research, Pune, India., Kalange* Ms. Pooja , Desai Ms. Megha ,   Computer Department, Institute of Industrial & Computer Management & Research, Pune, India.
Published: October 2019

Deep learning which is associated with the basics of Machine Learning has become popular over the years because of its fast paced adaptability and ability to handle complex problems. Prior to this technology breakthrough traditional methods of machine learning were used in applications of Image processing and pattern recognition, and analytics .With the advent of CNNs it has become easy to combat complex learning problems using the property of specificity and accuracy in CNN architectures and methodologies. This paper gives an introductory insights in CNNs like the feed-forward propagation networks and Back propagation Networks. The paper explains steps followed by CNNs for classifying the input and generating a predefined output. It also explains evolution of multiple Image CNN architectures which find applications in multiple domains of Computer Science like Image Processing & Segmentation, Pattern Recognition & Predictive Analytics, Text Analytics to name a few .
Cloud Technology FOR Real Time Vehicular Pollution Monitoring and Management in India
Authors:   Head of Department,Deparment of BCA Ambedkar Institute of Technology Govt.of NCT of Delhi, Mishra* Dr Dipankar , Mehta Mrs Neeru ,   Principal Ambedkar Institute of Technology Govt.of NCT of Delhi
Published: October 2019

Global warming has reached alarming proportion. Climate change is rapidly on the rise. India is one of the worst affected countries by this malaise. All this has been due to the rapid rise in greenhouse gases. These gases have been contributed by both the industries and the multitude of vehicles running on fossil fuel. Both are an evil necessity but the exponential growth of old polluting vehicles have contributed to a big chunk of the vehicular pollution. This paper attempts to provide a technological solution to monitoring these vehicles on a real time basis and preventing these vehicles to be on the road till the pollution is addressed to. It also helps alert the authorities on the minute details of the polluting vehicle, including pinpointing its present location.
Geospatial Technology Education: Capacity Building for Sustainable Development
Authors:   Associate Professor at Symbiosis Institute of Geoinformatics, Symbiosis International(Deemed University)., Chaudhary* Dr. Navendu , Dr. Pisolkar  ,   Associate Professor at Symbiosis Institute of Geoinformatics, Symbiosis International(Deemed University).
Published: October 2019

Sustainable development requires judicious use of resources which can cater for present need and also makes provision for the future. Geospatial technology operates at a regional level as well as micro level by providing a framework for data visualization and analysis which is crucial to the decision making process. Such a platform provides tools that help decision makers analyze complex situations and complete the task with efficiency. Research shows that Geospatial thinking is critical to survive and operate in today’s digitized world. Research has also shown that education in Geospatial technology will be crucial to make workforce competent across all sectors of the economy and it will be particularly necessary for achieving sustainable development goals. Geospatial education in India is lagging behind the rest of the world due to the specific constraints of the University structure in running Interdisciplinary subject. Geography education largely restricts to bachelor degree with little or no technological grounding. This paper is an attempt to critically analyze Geospatial education scenario in India with special reference to the experiences of the teaching Geospatial curriculum at Symbiosis Institute of Geoinformatics. This paper also attempts to evaluate the efforts of integrating research on sustainable development with the core curriculum.
Determination of Keeping Quality of Tea using Silica Desiccant
Authors:   Tea Technologist, UPASI Tea Research Foundation, Regional Centre, Coonoor, India, Manigandan* N. , Dilipkumar N. ,   ITC, Bengaluru, India., Radhakrishnan B. ,   Director, UPASI Tea Research Foundation, Tea Research Institute, Coimbatore, India
Published: October 2019

A study was carried out to find out the effect of silica gel on keeping quality of tea. CTC-SRD grade teas each at 250 g were packed in low density poly ethylene pouches with a small pouch containing silica gel (10 g). Another set of samples were packed in low density poly ethylene packing material without silica gel. From sealed pouches, every month one pouch was taken and analysed for their moisture and quality parameters such as theaflavin, thearubigin, high polymerised substance, total liquor colour and biochemical parameters such as total polyphenol, total catechin, water extract and amino acid. Studies conducted after fourteen month indicated that the moisture content increased in teas packed in LDPE alone and it was less in teas packed in LDPE with silica gel. The level of theaflavin content decreased by 24.01% in teas packed LDPE alone and 17.92 % in LDPE with silica gel respectively. Bio chemical parameters decreased in teas packed in LDPE when compared to LDPE with silica gel. The study reveals that silica gel is useful in maintaining the keeping quality of tea.
Design and Implementation of Component based Metric for Software Complexity Measurement
Authors:   Department of Computer Science and Application, M.D.U Rohtak, India., Gahlot* Sonal , Chhillar Rajender Singh ,   Department of Computer Science and Application, M.D.U Rohtak, India.
Published: October 2019

This paper designs a single component based metric to measure the complexity of any software in any phase of software development life cycle. The metric is designed on the basis of existing coupling and cohesion metrics like normalized hamming code (NHD), lack of cohesion in methods (LCOM), conceptual coupling(CoCC), structural and semantic coupling metric(SSCM). The designed metric also covers the coupling between parent and its inherited class, static import, anonymous class contribution and the coupling between inner and outer class to analyze the complexity of software precisely. The analysis of the metric has been done on seven industrial and academic projects against existing state of art coupling and cohesion metric i.e. NHD, COCC, SSCM, LCOM5 and method attribute cohesion metric. The result and analysis shows the significance of the designed metric.
Equity Analysis of Selected Small cap stocks listed in BSE
Authors:   Research scholar, Associate Professor, ISBR Research Centre, ISBR Research Centre, University of Mysore, A.S. Mr. Suresh , Bandi Dr. Srinivas ,   Research scholar, Associate Professor, ISBR Research Centre, ISBR Research Centre, University of Mysore
Published: October 2019

The research paper is organized to analyze the risk and return of selected small cap stocks listed on BSE and also to compare the performance of each stock against the benchmark. The data is collected for a period of 5 years i.e., from 1st January 2014 to 31st December 2018. The paper compares the performance of each stock taking BSE Small cap index as benchmark. The study is purely based on secondary data collected from BSE. The data were collected based on monthly prices of the selected small cap stocks, and with the help of monthly prices annual return were calculated for a period of 5 years. The study shows that Aarti drugs, Wintac pharmaceuticals and TATA Elxsi have given highest returns during the study period. Whereas the return of DCB bank is lowest during the same period. The beta of all the stocks are positive except TATA Elxsi, indicating that all the shares carry a higher risk.
Advanced Traffic Signal Control System for Emergency Vehicles
Authors:   Department of CSE, Nitte Meenakshi Institute of Technology, Bangalore, S B* Sangamesh , D H Sanjay ,   Department of CSE, Nitte Meenakshi Institute of Technology, Bangalore, S Meghana ,   Department of CSE, Nitte Meenakshi Institute of Technology, Bangalore, Thippeswamy M N ,   Department of CSE, Nitte Meenakshi Institute of Technology, Bangalore
Published: October 2019

This paper introduces the novel approach to handle the situation for emergency vehicles like ambulance and fire trucks to avoid traffic to reach the destination in time in order to save the lives. This system architecture is based on Internet-of-Things (IoT) using cloud at its center. The proposed system uses real-time GPS to track the location of the vehicle and update the same to cloud , smart traffic signals which are in present in route of the vehicle are notified the same. system maintains the details on the emergency vehicles to pass through the traffic with no or minimum waiting time, thus reducing the number of deaths during the travel to hospital and conditions to reduce the loss of property in case of fire emergency.
The Impact of Digital Disruption Technologies on Customer Preferences: The Case of Retail Commerce
Authors:   Periyar Institute of Management Studies (PRIMS), Periyar University, Salem, TN, India., Singh* Arun Kumar , Thirumoorthi Dr. P ,   Periyar Institute of Management Studies (PRIMS), Periyar University, Salem, TN, India.
Published: October 2019

Consumer preferences which include likes, dislikes, motivations, dispositions are influenced by many factors. In association with needs, these preferences define a customer’s behavior towards goods or services. In recent years, there has been a tremendous shift in customer behavior and the reason for the same can be attributed to the digital technologies. These technologies are compelling the businesses to rapidly change to remain relevant in the market. On the supply side, Social media, Mobility, Artificial Intelligence, Analytics or Big Data, Cloud infrastructure, IoT, Augmented reality and Virtual reality (AR/VR) are creating opportunities for existing enterprises to transform as well as new pure digital enterprises to be born. On the demand side, it's vital to understand the impact these technologies have on customer preferences for the appropriate marketing strategy to be developed. The same technologies are available to customers too in some form or other. This paper looks at the impact of the disruptive digital technologies on customer preferences and the resulting change in customer behaviour at two levels. It captures the results of the study on customer preferences towards online shopping. It also elaborates on the changes in the preferences with digital technologies. It clubs the customer preferences in three groups aligned with phases in purchase process. The paper also looks at the possible future evolution of technology and its impact on customer preferences. In this paper, intrinsic considerations are for the retail industry. Retail firms in this day and age have a golden opportunity to use technology to understand consumers in more meaningful ways.
1581 Published By: Blue Eyes Intelligence Engineering & Sciences Publication Retrieval Number C4409098319/2019©BEIESP DOI: 10.35940/ijrte.C4409.098319 Journal Website: www.ijrte.org Cloud-Implementation of E-Healthcare Framework
Authors:   Department of Computer Science and Engineering Sathyabama Institute of Science and Technology, Vignesh* R , Prasad K.Mohana ,   Department of Computer Science and Engineering Sathyabama Institute of Science and Technology
Published: October 2019

Healthcare Systems are gaining ground around the world, seeking to provide viable and affordable healthcare to all sections of society. With the recent advancements in the Information and Communication Technology (ICT) around the globe, the Healthcare Frameworks can be made more robust with the use of more novel techniques and modern-day technologies. With the rise of Mobile Cloud Computing resources and easy availability of smartphones and net services, a proposed framework referred to as “Cloud Implementation of E-Healthcare Framework” built upon a Cloud Framework authenticated by personal biometrics would allow the agencies at work to store a patient’s credentials and medical history on the Cloud which will then be accessible throughout the network which will be a significant shift from the Paper-Based Record System as well as the new and more modern Electronic-Based Record Systems. Our proposed framework is expected to enhance administrative machinery in Healthcare agencies, a more robust data frame to store patient’s credentials and also time-saving procedures to provide the necessary treatment to the patient.
Co- Disease prediction in Diabetic Patients using Ensemble learning for Decision Support System
Authors:   Research Scholar, Department of CSE, JJTU, Jhunjhunu, Rajasthan, India., Khan* Shahebaz Ahmed , Jabbar M A ,   Professor at Department of CSE, Vardhaman College of Engineering, Hyderabad, India
Published: October 2019

The methods of classification that are available in the data mining concepts along with Ensemble methods of data prediction in data mining and machine learning gradually helps to predict the data for the by building the various classification models for future analysis in a better as well as accurate way. The Ensemble learning method algorithms can be used to build the classifiers by taking the weighted vote of the classifiers in order to construct the new data predictions and points. Two or more different data models are taken into consideration for running the process to predict the results in Ensemble Prediction System. In this paper, the the research work carried out by us on diabetic medical data using various classification models like Naive Bayes, Random Forest, Zero R etc. are compared and analyzed with the Ensemble prediction models to prove the efficiency of the used method so as to predict the diabetic syndrome possibility in the patients of various health symptoms. The algorithm used for voting and their uses as well as application on such data to predict the diseases is discussed. The rules developed in this work can be helpful to predict and find the co-disease in the patients of diabetes for decision making and these rules developed have been then ranked according to the final classifier for better form of the disease prediction. The classification methods that are proposed can not only effectively but also can accurately predict the datasets in the various context of disease analysis by improving the accuracy of the classifiers.
Metoo Movement Analysis through the Lens of Social Media
Authors:   Asst. Prof.,Dept. of Computer Science and Engineering, Sathyabama Institute of Science and Technology, Chennai., Asha* Dr. P. , Neeharika K. Sri ,   Asst. Prof.,Dept. of Computer Science and Engineering, Sathyabama Institute of Science and Technology, Chennai., Sindhura T. ,   Asst. Prof.,Dept. of Computer Science and Engineering, Sathyabama Institute of Science and Technology, Chennai.
Published: October 2019

Sentiment analysis is an errand which is used to analyse people’s opinions which has been derived out of textual data seems productive for palpating various NLP applications. The grievances associated with this task is that, there prevails variety of sentiments within these documents, accompanied with diverse expressions. Therefore, it seems hard to whip out all sentiments employing a dictionary which is commonly used. This work attempts at constructing the domain sentiment dictionary, by employing the external textual data. Besides, various classification models could be utilised to classify the documents congruent to their opinion. We have also implemented topic modelling, emoticon analysis and optimized gender classification in our proposed system. Many sectors have been identified where women are being abused. Clusters are formed for these sectors and the most affected sector is also identified.
Carrier Phase Measurement in IRNSS using Antenna swapping Method
Authors:   M.Tech, Acharya Nagarjuna University/Industry, Guntur, India., D* Haripriyanka. , Siddaiah Dr.P. ,   Principal, Professor, Acharya Nagarjuna University, Guntur, India., Parveen Sd. Nageena ,   Research scholar, Acharya Nagarjuna University, Guntur, India
Published: October 2019

Indian has been established its regional navigational satellite system i.e., IRNSS (Indian space research navigation satellite system). It is launched successfully with seven satellites. It provide accurate position to user in Indian and up to 1500km around the India. In this paper, calculated the integer ambiguity (N) which is one of the parameter of the carrier phase measurement. Carrier phase measurement is measure the range between the satellite and receiver expressed units of cycle of the carrier frequency.
Radix-10 Fixed Point Division Hardware
Authors:   Dept. of Computer Science and Engineering, Techno International Batanagar, Kolkata, West Bengal 700141, India,, Sengupta* Diganta , Sultana Mahamuda ,   Dept. of Information Technology, Techno International New Town, Kolkata, West Bengal 700150, India,, Chaudhuri Atal ,   Vice-Chancellor, Veer Surendra Sai University of Technology, Sambalpur, Odisha 768018, India
Published: October 2019

Standardization of decimal floating-point formats by IEEE in IEEE 754-2008 Standards fuelled the interest on decimal floating-point architectures among the global research community. Although decimal arithmetic architecture research attracted computer scientists for the last two decades, the major thrust was observed past the year 2008. Multiple proposals have been witnessed for decimal arithmetic units, mostly adders/subtractors, and multipliers. Very few designs have been proposed in the division domain. This article proposes decimal division hardware based on sutras from Vedic Mathematics, the ancient mathematics system. We present a Reduced Magnitude Divisor Generator which converts each digit of the actual divisor into a reduced digit set [-5, 5] using a unique combination/modification of the Vedic Sutras. The divisor digit magnitude reduction also minimizes the product set of multiplication as the single-digit multiplier belongs to the reduced digit set [0, 5] barring the sign. The sign of the dividend or the divisor is not attended during division as a simple XOR operation on the two signs provides the sign of the quotient. Peer comparison has exhibited better results for our design in terms of space and time.
Combined Audio Steganography and AES Encryption to Hide the Text and Image into Audio using DCT
Authors:   Department of ECE, Global Academy of Technology, Bengaluru., Bandi* Siddalingesh , Reddy H S Manjunatha ,   Department of ECE, Global Academy of Technology, Bengaluru.
Published: October 2019

Recently, security has become the prime concern for any organization and other civil and military applications. In this field of security, the data security during communication over an insecure wireless channel is the most important task which can be done by performing cryptography, watermarking and steganography. However, cryptography and watermarking schemes can be identified easily because of change in the data structure hence attackers can focus on that particular part to hack the secret information whereas steganography is a hiding mechanism in which secret message can be concealed into the cover and it can be retrieved at the receiver end. Several techniques have been introduced during last decade which are focused on image-image steganography and audio steganography. In the proposed work, we concentrate on audio steganography and develop a novel approach where secret message can be in the form of plain text or image, whereas cover message is in the form of audio. In order to provide additional security to this model we incorporate AES encryption scheme where secret message is encrypted and hidden in the cover audio. The proposed approach uses DCT coefficient computation and AES encryption scheme. An extensive experimental study is carried based on different test cases and evaluated against state-of-art techniques. The experimental study shows that the proposed approach achieves better performance for audio steganography.
Tracking of Construction Progress Concerning Activity Wise Equipment Delay
Authors:   Research scholar, B.S. Abdur Rahman Crescent Institute of Science and Technology, Chennai, India, Indhuab B. ,   bAssistant Professor, SRM Institute of Science and Technology, Chennai, India., Yogeswari K. ,   Associate Professor, B.S. Abdur Rahman Crescent Institute of Science and Technology, Chennai, India., Akhtar Mehnaz ,   Department of Civil Engineering, SRM Institute of Science and Technology, Chennai, India.
Published: October 2019

Delay in construction is considered as one of the major drawbacks in the construction world as the delay can increase the cost of the construction project, therefore, it is important to study the causes of it and then analyzing the factors. In this paper, various studies of literature review and a pilot study were done by taking interviews of the experts related to equipment in the construction project. The questionnaire was prepared related to delay in construction due to the equipment delay factor. These questionnaires were divided into the top 5 categories which consist of 20 major causes. The questionnaire survey was sent to the respondents through the google form and personally to the sites. Totally 200 responses were collected for 11 activities. The analysis is done in Relative Important Index (RII) to calculate the highest factors and the lowest factors which cause or effect the delay in construction. Based on the results recommendation were given. The purpose of this project is to deliver the construction facilities rapidly, which do not only serve as a competitive lead but also serves in bringing up constructional innovation.
Advanced Sensor Dynamic Measurement and Heuristic Data Analysis Model for Bridge Health Monitoring System
Authors:   Associate Professor, Department of Civil Engineering, Karpagam Academy of Higher Education, Coimbatore, India., Shankar* Dr. G. R. Vijay , Deepa Dr. S. ,   Associate Professor, Department of ECE, Karpagam college of Engineering, Coimbatore, India., Arun M. ,   Junior Research Fellow, Department of Mechanical Engineering, Karpagam Academy of Higher Education, Coimbatore, India., Vignesh G. ,   Assistant Professor, Department of Mechanical Engineering, Karpagam Academy of Higher Education, Coimbatore, India.
Published: October 2019

Presently the health and safety monitoring of a bridge is considered as a significant area of research where the attention has been paid by many researchers. In this article the bridge structural damages due to environmental fluctuations and other parameters has been analyzed using cutting-edge technologies. In this research the technology of advanced Intelligent Internet of Things (IIoT) sensors with signal processing systems is designed and developed to monitor the health condition of the bridge using data analytic techniques. In the recent past these sensor systems has been used collect the vibration signal sets caused by the vehicles movement on the bridge. Further, these collected data sets are analyzed with the help data analytic approach using traditional independent analysis models which fails to produce optimum results in terms of reliability, efficiency, stability, corrosion and crack of the bridge. In this article to overcome this issue an improved heuristic nonlinear model has been developed to analyze the data sets using non-linear and linear separation analogy. This optimized data analytics technique with advanced sensing mechanisms is validated experimentally and the outcomes shows promising solutions to monitor bridge health in effective manner than traditional strategies.
DC Conductivity in P-Toluenesulphonic Acid Doped Poly (2-Methylaniline)
Authors:   School of Sciences, Former Faculty of Department of Physics, Career Point University Hamirpur (H.P.) 176041 INDIA, Kapil* Atul , Sharma Navdeep ,   Department of Applied Sciences, Alakh Prakash Goyal Shimla University (H.P.) 171013 INDIA
Published: October 2019

Para-toluenesulphonic acid doped Poly(2-methylaniline) (PmANI) was synthesized by chemical method using ammoniumpersulphate (APS) as an oxidant. It was synthesized along with optimization studies w.r.t. varied dopant-monomer ratios for better DC conductivity. Various spectroscopies like XRD, UV-Vis and FT-IR were used to characterize the polymer. The behavior of DC conductivity with variation in temperature was studied with in the temperature range of 300 - 425 K and it was observed that conductivity rised to ~four orders with the surge in temperature. The experimental conductivity data was fitted with various conduction models to find the proper charge transport mechanism in this polymer.
Data Communication Security Issues of Wi-Fi over Li-Fi
Authors:   pursuing his B. Tech degree in Computer Science Engineering from Vellore Institute of Technology., Gupta* Kunal , Agarwal Kaushal ,   pursuing his B.Tech degree in Computer Science Engineering from Vellore Institute of Technology., Babu Yokesh ,   Assistant Professor (Selection Grade) in School of Computer Science and Engineering (SCOPE) at VIT University, Vellore
Published: October 2019

Visible Light Communications (VLC) system is called Light Fidelity One such example, analog data is passed to a LED (Light-Emitting Diode) bulb (using signal processing technology), after that it transmits data (which is implanted in its beam) to the detector or photodiode. The small commutes in the brisk feeble of LED bulbs is modulated by the receiver circuit into electrical signal. The signal is then reversed into a duplex data runnel that could be recognized in the same way that of audio, video and web programs that run on devices that has internet enabled. Wi-Fi is vulnerable to breaches involving various security issues such as Rouge Access Points, Denial of Service, Wireless Trespasser, Data Interruption, End point attacks etc. To overcome such restrictions, this paper proposes application level substructure for data communication using Li-Fi (Light Fidelity) Technology. By using LED lights as a transmission medium, the indoor wireless communication is achieved in much faster rate than the one Wi-Fi (Wireless Fidelity) can provide.
Innovative Experimentation on Hollow Cylindrical Shells of Reinforced Concrete under Axial Compressive Load
Authors:   Executive Engineer, Public Health Engineering Directorate, Govt. of W.B, Kolkata, India,, Chowdhury* Pronoy Roy , Ghosh Dr Partha ,   Associate Professor, Dept. of Construction Engg. Jadavpur University, Kolkata, India,
Published: October 2019

Reinforced concrete elevated water tanks supported on shaft type staging system are popularly constructed now a days for storage of water for water supply schemes. If slip form is used for casting of the shaft staging, the water towers generally require lesser time for construction. Elevated water tanks are top heavy structure especially in the tank full condition. It is often a critical question in structural design that what should be the proper structural model adopted for design of such class of structure. Should the shaft be designed as a hollow cylindrical column subjected to axial compression or is it essentially a R.C. cylindrical shell subjected to membrane forces under axial compression. To better understand it is proposed to cast such R.C. shells and after water curing for 28 days shall be subjected to axial compressive load in a compressive strength testing machine. The failure pattern of the shells shall be observed critically to get a proper understanding of behavior of such R.C shaft supported elevated water tank structures.
Outdoor Localization of Robot with RSSI for Iot Connected Smart Devices
Authors:   Lovely Professional University, Phagwara, Punjab, India., Singh* Rajesh , Gehlot Anita ,   Lovely Professional University, Phagwara, Punjab, India., Thakur Amit Kumar ,   Lovely Professional University, Phagwara, Punjab, India., Mohan Pradumna ,   University of Petroleum and Energy Studies
Published: October 2019

Wireless sensor Technology has evolved as a true leader in the current era, surpassing the conventional wired technology.It gains over the conventional wired technology in respect of being more efficient and robust.In order to confine and transmit the data to the specified destination, Wireless sensor technology has shown its mettle to do things at great ease.Thus the door to the area of all future research realted to localization sytem and various technologies have opened. So to identify the location of the data is of prime importance as the essence lies in the fact that from where the data has been collected.Spotting the sensor nodes using suitable algorithm is commmonly termed as localization, which is a fascinating area of interest in the field of research and many reaserchers have carried out their exhaustive work in this area.In order to match up with the pace of the fast evolving technologies,it is the utmost need to develop and design a low-cost ,highly efficient localization technique for wireless sensor technologies.
Adaptive Lightning System for Vehicle Protection
Authors:   Dept. of Electronics and Communication Engg, Siksha ‘O’ Anusandhan Deemed to be University, Odisha, India., Mohanty* Mihir Narayan , Kamilla Sushanta Kumar ,   Dept. of Physics, Siksha ‘O’ Anusandhan Deemed to be University, Odisha, India.
Published: October 2019

This paper presents an adaptive lightning system for vehicle protection. More specifically the present paper relates to an adaptive lightning system for vehicle protection during night times when the light intensity is too high. It comprises of a photo diode for detecting an incoming high intensity of light of vehicle during night. In most of the cases the night accident is due to the mistake of a driver who uses headlight instead of dippers, when another vehicle is coming from opposite side of road. Due to heavy traffic at night times there is a large number of road accidents because of the intense light of approaching vehicle. Therefore, this paper proposes an automatic controlling of headlights of vehicles by just turning the car steering, during night time and allows the driver to comfortably concentrate on driving.
Automatic Liquid Control System for Overhead Storage Tank in Households
Authors:   Dept. of Electronics and Communication Engineering, Siksha ‘O’ Anusandhan Deemed to be University, Odisha, India, Tripathy* Hara Prasad , Pattanaik Priyabrata ,   Dept. of Electronics and Communication Engineering, Siksha ‘O’ Anusandhan Deemed to be University, Odisha, India,, Kamilla Sushanta Kumar ,   Dept. of Physics Siksha ‘O’ Anusandhan Deemed to be University, Odisha, India,
Published: October 2019

The scarcity of drinking water in near future attracts the attention of the researcher how to control the use of water as per the need. Now this is a major global problem rising in front of all to avoid the crisis of fresh water. Hence, it is not only extremely crucial to preserve and save water but also to reduce the unnecessary use of water. Especially, in many houses in India, there is unnecessary wastage of water due to unnoticed water leakage from faucets and overflow in overhead storage tanks. This is where automatic liquid control system comes into picture. The operation of liquid control system is based upon the fact that liquid primarily water acts as a hindrance for sound waves emitting from the ultrasonic sensor. Rise and fall of water level results in triggering on and off switch which further enables or disables the motor pump as per the requirement. This paper has achieved its primary objective i.e. noncontact liquid monitoring system employing Arduino Uno.
An Automated Road Light Control System using Relays and Light Sensors
Authors:   Dept. of Electronics & Communication Eng., Siksha ‘O’ Anusandhan Deemed to be University, Odisha, India., Mohanty* Mihir Narayana
Published: October 2019

An automated road light control system is a simple and also a very useful concept for the human life, system comprises of a transistor used herein as a switch to control the ON/OFF the light automatically as per commanded by the microcontroller informed by the sensors. The lights turned ON automatically during night when there is presence of an object, and turned OFF at day time or the absence of the object. This is performed by the system with the help of photoelectric sensor and LDR.
An Improved Version of Particle Swarm Optimization (I-Pso) Based Routing Scheme for Vehicular Adhoc Networks (Vanet)
Authors:   working as Associate Professor in the Department of Computer Science and Engineering in Annamalai University, Chidambaram, India., Ananth* Dr. C Anbu , Krishna M M V B Murali ,   working as Assistant Professor in Department of Computer Science and Engineering, Sasi Institute of Technology and Engineering, Tadepalligudem, West Godavari dt., A.P, India.
Published: October 2019

A special kind of Mobile ad-hoc networks (MANETs) is Vehicular ad -hoc networks (VANETs). The higher moving vehicles speed is the major issues relative with it. This affects the network instability and topological changes of communication routes. For VANETs, routing protocols is the difficulty that the research group mainly focus on. For vehicular communication, the familiar protocols of MANET proactive routing are used extensively. For VANET, they are not sufficient ones. In dynamic circumstances, route instability is the major issues with the protocols. To resolve the denoted issues, this work merges the PSO and multi-agent system methods and devised an improved PSO (i-PSO) algorithm. To examine the efficiency of our method, we have performed some experimentation. Superior results are exhibited by the proposed technique.
A Novel Method for Prediction of Attenuation of Millimeter Waves by Fog and Smoke
Authors:   Information Technology, NIET, Greater Noida, India, Singh* Hitesh , Kumar Vivek ,   Information Technology, NIET, Greater Noida, India, Bonev Boncho ,   Redio Communication and Video Technology, Technical university of Sofia, Bulgaria, Saxena Kummud ,   Information Technology, NIET, Greater Noida, India
Published: October 2019

Terrestrial radio wave link faces various challenges like attenuation caused by gases, water vapor and other weather phenomenon like rain, storms, snow, fog, cloud etc. These challenges are responsible for absorption and diffusion of energy. Another kind of obstacles observed by the radio waves on terrestrial path is vegetation, lamppost, grills and other urban constructions. Different phenomenon is studied under these conditions like reflection, diffraction, refraction, scattering, depolarization etc. In case of millimeter waves various propagation studies has been performed under different scenarios. More propagation studies are needed to be done especially for fog. In this paper radio wave propagation studies are performed for fog using proposed fog model and results are compared with the other model proposed in the Literature. Another propagation study is performed for smoke which is unique of its kind. This study indicates that even smoke can causes attenuation for millimeter wave frequencies.
Digital Game-based Learning as an Innovation to Enhance Student’s Achievement for Arabic Language Classroom
Authors:   Faculty of Human Development, Universiti Pendidikan Sultan Idris, Perak, Malaysia., Hamzah* Mahizer , Ghani* Mohammad Taufiq Abdul ,   Faculty of Languages and Communication, Universiti Pendidikan Sultan Idris, Perak, Malaysia., Daud Wan Ab Aziz Wan ,   Centre for Languages and Generic Development, Universiti Malaysia Kelantan, Kelantan, Malaysia., Ramli Saipolbarin ,   Faculty of Languages and Communication, Universiti Pendidikan Sultan Idris, Perak, Malaysia.
Published: October 2019

Various studies have investigated the potential of employing digital games in education to help students’ increase their learning achievement and their academic performance. Over the years, scholar have recognised how games could become a good learning tool that can improve learner’s performance and sustain their engagement in teaching and learning activities. Therefore, the objective of this study is to explore whether mobile digital games, as a cybergogical tool, can be used to support Arabic language teaching and learning. This study is a quasi-experiment designed to determine the effectiveness of mobile digital games in supporting the learning of Arabic. This study 70 students who are taking the elementary Arabic language course in Universiti Malaysia Kelantan (UMK), Malaysia. The participants were selected through random purposive sampling. The students were divided into two groups; experimental group and control group. After the intervention of mobile digital game, the achievement scores of both groups were collected practically. The data collected were analysed using inferential quantitative analysis by using the IBM SPSS Statistics 24 software. This study reported that the adoption of mobile digital games significantly increases students’ achievement in Arabic language learning.
Sign Language Recognition
Authors:   M.Tech(CSE),Ph.D(CSE), Assistant Professor, CBIT Hyderabad, India, Padmalatha* Dr.E. , Sailekya S. ,   B.E(CSE) Student BVRIT, Hyderabad, India, Reddy Dr.R.Ravinder ,   M.Tech(CSE),Ph.D(CSE) Associate Professor, CBIT Hyderabad, India, Krishna Ch.Anil ,   B.E(CSE),CBIT Hyderabad, India, Divyarsha K. ,   B.E(CSE),CBIT Hyderabad, India
Published: October 2019

There are nearly 15 million people around the world who have difficulty in speaking or communicating. Their only way of communication is through sign language. Hand gesture is one of the methods used in sign language for non-verbal communication. It is most commonly used by deaf & dumb people who have hearing or speech problems to communicate among themselves or with normal people. There are many recognized sign language standards that have been defined such as ASL(American Sign Language), IPSL(Indo Pakistan Sign Language), etc., which define what sign means what. ASL is the most widely used sign language by the deaf and dumb community. The deaf and dumb use sign language to communicate among themselves with the knowledge of the standard sign language. But they can’t communicate with the rest of the world as most of the people are unaware of the existence and the usage of the sign language. This method aims to remove this communication barrier between the disabled and the rest of the world by recognizing and translating the hand gestures and convert it into speech.
Execution of a Modern Prediction Tool for Evaluation of Thermal Performance in a Heat Exchanger by Expending Triple Elliptical Leaf Angle Strips with Altered Orientation and Opposite Direction
Authors:   Mechanical Engineering, Sri Sivani College of Engineering, Srikakulam, India., Rao* J.Bala Bhaskara , Raju V. Ramachandra ,   Mechanical Engineering, Jawaharlal Nehru Technology University, Kakinada, India
Published: October 2019

Heat exchangers are the basic devices which are used in many areas wherever applications of heat flow occurs. Its usage varies from common domestic devices to mighty industrial applications. The performance of the heat exchanger plays a very important role for its utilization in many aspects. This performance is not dependent on the design parameters in a particular relationship hence experimental values for thermal performance are taken by utilizing three elliptical leaf strips in a tube and pipe heat exchanger. The three elliptical leaves used in experiment has major to minor axes ratios as 2:1 and distance of 50 mm between two leaves are arranged at different angular orientations from 00 to 1800 with 100 intervals. The leaves are placed in the tube side with different orientation and opposite direction of flow and experimentation is conducted to obtain the values. Based on these datasets available a statistical tool is utilized known as GRNN for the comparison between these obtained experimental values & GRNN values. From this comparison the percentage of error between the values is identified as results.