bluuebunny/crossref_metadata_2025 huggingface dataset:
Resistance of Flat Plate Reinforced of Glass Fiber Mesh Sheets Due To Shear Punching
Authors:   structural department, future high institute of engineering, Fayoum, Egypt., Moawad Mohamed S.
Published: May 2020

punching shear failure of the flat plat of the column location especially of two-way flat plat is one of the major problem and this form of failure should be avoided. The paper deals with the punching shear behavior of the two-way concrete slabs reinforced by using thin sheets of glass fiber reinforced polymer (GFRP) with traditional steel bars reinforcement. Five flat plat specimens slabs measuring (1500x1500x150mm) with interior column measuring (150mmX150mm). Reinforced by GFRP thin mesh sheets in additional of deformed steel bars reinforcement were conducted and tested under concentric load until failure. The test parameter were studied i) No. of GFRP thin mesh sheets layers ii) Position of GFRP mesh thin sheets layers (at compression and tension zones). The test results were reported in terms of cracking behavior and propagation, maximum deflection, strains in concrete and reinforcement, punching shear capacity, and modes of failure. The test results were also employed to assess the accuracy of the available punching shear capacity equations including the new punching equations in ECP2018.201. The test results show that increasing in the punching shear capacity, decreasing of the average cracking widths, and improving in an integrity of the slab specimens which reinforcing by glass fiber thin mesh sheets in the post cracking stage in comparison with conventional reinforced concrete slabs.
Effect of Combined Beam Slab Interactive Resisting Mechanism for Progressive Collapse
Authors:   PG II-year Student, Department of Civil Engineering, PSNA College of Engineering and Technology, Dindigul, India., P Gokul , R Vandhiyan ,   Assistant Professor, Department of Civil Engineering, PSNA College of Engineering and Technology, Dindigul, India., TJ Vijay ,   Assistant Professor, Department of Civil Engineering, PSNA College of Engineering and Technology, Dindigul, India.
Published: May 2020

In reinforced concrete structures slab, beam and column plays an important role in load transfer mechanism. When a column fails due to earthquake or attack, progressive collapse may occur. There is a need to study and understand the performance of the RC framed structure under progressive collapse to design a better structure. This study investigates the effect of combined Beam-Slab interactive resisting mechanism against progressive collapse using finite element software. Linear static analysis was used to study the progressive collapse of the RC framed structure. The models of symmetrical regular building with bare frame, frame with slab and frame slab with infill were studied. The parameters like load carrying capacity, energy dissipation factor and stiffness degradation were analysed. The analysis results showed that frame slab with infill showed better resistance during progressive collapse.
Mechanical Behavior and Fractography of Al2218 Nano B4C Metal Composites
Authors:   Research Scholar, Don Bosco Institute of Technology, Bangalore and Assistant Professor, Dept., of Mechanical Engineering, The Oxford College of Engineering, Bangalore, India., Pujar Vidyadhar , K Srinivas H ,   Professor, Department of Mechanical Engineering, SJBIT Bangalore, India., Nagaral Madeva ,   Deputy Manager, Aircraft Research and Design Centre, HAL, Bangalore, India, Auradi V ,   Associate Professor, Department of Mechanical Engineering, Siddaganga Institute of Technology, Tumkur, India.
Published: May 2020

In the present examination, the mechanical properties of Al2218-nano B4C composites displayed. The composites containing 4 to 8 wt. % of nano boron carbide in ventures of 4 wt.% were readied utilizing liquid metallurgy method through stir casting. For every composite, fortification particles were preheated to a temperature of 400˚C and afterward added in ventures of two into the vortex of liquid Al2218 compound to improve the wettability and dispersion. Microstructural examination was carried out by SEM and elemental investigation was finished by EDS. XRD Analysis used to recognize the B4C phases in the Al grid. Density, tensile, compression and hardness tests were done to distinguish various properties of composites. The aftereffects of this investigation uncovered that as the weight % level of nano B4C particles were expanded, there was noteworthy increment in hardness, UTS, yield and compression strength of Al2218 amalgam composites. Further, there was slight drop in the density and malleability of the Al2218 amalgam composites when contrasted with the base. Tensile fractured surfaces analysis was conducted by using SEM.
Deep Convolutional Neural Network based Image Steganogrpahy Technique for Audio-Image Hiding Algorithm
Authors:   Professor, Department of CSE, NRIIT, Vijayawada, A.P, India, Kishore D.Rathna , Suneetha D. ,   Professor, Department of CSE, NRIIT, Vijayawada, A.P, India., Babu P.Narendra ,   Associate Professor, Department of CSE, NRIIT, Vijayawada, A.P, India, Chinababu P. ,   Assistant Professor, Department of CSE, LIMAT, Vijayawada, A.P, India
Published: May 2020

Steganography is one expanding filed in the area of Data Security. Steganography has attractive number of application from a vast number of researchers. The most existing technique in steganogarphy is Least Significant Bit (LSB) encoding. Now a day there has been so many new approaches employing with different techniques like deep learning. Those techniques are used to address the problems of steganography. Now a day’s many of the exisiting algorithms are based on the image to data, image to image steganography. In this paper we hide secret audio into the digital image with the help of deep learning techniques. We use a joint deep neural network concept it consist of two sub models. The first model is responsible for hiding digital audio into a digital image. The second model is responsible for returning a digital audio from the stego image. Various vast experiments are conducted with a set of 24K images and also for various sizes of images. From the experiments it can be seen proposed method is performing more effective than the existing methods. The proposed method also concentrates the integrity of the digital image and audio files.
Accuracy Improvement of Pedestrian Dead-Reckoning Based Map Heading Constraint in GNSS Denied Environments
Authors:   Assistant lecturer, Public Works Department, Ain Shams University/ Faculty of Engineering/ Cairo, Egypt, Shebl Mohamed , El-Tokhey Mohamed ,   Professors, Public Works Department, Ain Shams University/ Faculty of Engineering/ Cairo, Egypt., Fathy Tamer ,   Professors, Public Works Department, Ain Shams University/ Faculty of Engineering/ Cairo, Egypt, Mogahed Yasser ,   Associate professor, Public Works Department, Ain Shams University/ Faculty of Engineering/ Cairo, Egypt., El-Habiby Mohamed ,   Associate professor, Public Works Department, Ain Shams University/ Faculty of Engineering/ Cairo, Egypt.
Published: May 2020

the demand for navigation systems is rapidly increasing, especially in GNSS-denied environments. The ubiquitous use of smart mobile devices equipped with various sensors encouraged many researchers to investigate their use in improving indoor navigation, where GNSS is not available. Inertia navigation sensors installed in mobile devices are normally low cost and drift significantly. Consequently, there is a need for auxiliary systems to aid the navigation process, which can be achieved using external sensors or additional information extracted from, for example, base maps. In this research paper, maps have been selected as a navigation aid. Previously, maps were used for navigation aiding through geospatial data models and map-matching algorithms. These methods are based on creating geospatial data models on the fly and integrating them in the navigation database, which makes them computationally expensive and time-consuming. In this research paper, the maps were used in an innovative way. The map directions were used in Pedestrian a dead reckoning (PDR) mode to improve the low-accuracy directions derived from portable device sensors. This method is significantly computationally efficient compared to traditional geospatial map-matching algorithms. The new approach replaces the traditional geospatial database with a list of street directions and paths that are used as Map Heading Constraints (MHC) when navigating (walking) in straight directions. The proposed technique was tested on trajectories in GNSS denied environment (underground parking) using an iphone6s smart-phone and compared with other solutions that used the portable device sensors only. The comparison showed a significant improvement in position accuracy (up to 90%) in comparison to using the portable device sensors only (no aiding).
Design of Prototype Battery Management System
Authors:   Assistant professor in Acharya institute of technology Bangalore, R Dilip , G Akash ,   Bachelor of Engineering, Department of Mechatronics, Acharya Institute of Technology, U Ashuthosh Bhat ,   Bachelor of Engineering, Department of Mechatronics, Acharya Institute of Technology., K Agil ,   Bachelor of Engineering, Department of Mechatronics, Acharya Institute of Technology., K Tej Raju ,   Bachelor of Engineering, Department of Mechatronics, Acharya Institute of Technology.
Published: May 2020

The electrical Vehicle (EV) is already on the roadmap of each necessary automaker and is seen because the answer to a a lot of property transport system, contributive to a discount of the gas Emissions. the utilization of inexperienced energy is turning into {increasingly progressively more and a lot of} more necessary in today’s world. Therefore, electrical vehicles are presently the most effective alternative for the setting in terms of public and private transportation. Lithium-ion batteries are commonly used in electric vehicles, bec ause of their high energy density. Sadly, lithium-ion batteries are unsafe unless they are run in the Safety Operation space (SOA). Therefore, A battery management system (BMS) should be employed in each metal particle battery, particularly for those employed in electrical vehicles. Thus, it plays a very important role in coming up with the safer electrical Vehicles.
Swarm Optimized Opinion Classification Model for Policy Assessment
Authors:   Department of Computer Science & Engineering, Delhi Technological University, Delhi, India, Sharma Abhilasha , Sachdeva Paridhi ,   Department of Computer Science & Engineering, Delhi Technological University, Delhi, India., Arora Nikhil ,   Department of Computer Science & Engineering, Delhi Technological University, Delhi, India.
Published: May 2020

A government policy is a scheme launched by the governing body of a nation for the welfare of a particular section of the society or the entire public in general. The impact of such a policy can hence only be determined by the response from its target group. The evaluation of these schemes is often challenging, due to the inability of the government body or organization to collect unfiltered and unbiased feedback from the entire population. The aforementioned task may require a large amount of effort, considerable time and in-depth knowledge of advanced technology. However, with the advent of the information era, it is possible to analyze the sentiments of the public using negligible resources. The internet is rich in freely available unused and unstructured data that can be exploited efficiently for various purposes. One such application is opinion mining which allows the user to extract data from social media websites and categorize it into pre-defined classes. This paper is an attempt to assess one of the most important and current government initiatives- “Digital India”, through public sentiments. Digital India is a program launched by the Prime Minister of India to transform the country into a technologically advanced and digitally connected nation. This research work corroborates the use of swarm intelligence or nature-inspired algorithms for feature subset selection during opinion mining, as it results in a substantial reduction in the number of features (and consequently a lesser computation time for model training) and increase in the classification accuracy of the model. Therefore, the aim of this study is to analyze public opinion on “Digital India” campaign to ascertain the success (or failure) of the mission, while at the same time, determine the most suited model for automated evaluation of any government policy in the future.
Design and Interfacing of I2C Master with Register and LCD Slaves
Authors:   Asst Prof, Department of ECE, RGUKT-Basar, Telangana. India, Chaithanya A.Sainath , Sindhuja D. ,   B.Tech, Department of ECE, RGUKT-Basar, Telangana. India., Bhavana D. ,   B.Tech, Department of ECE, RGUKT-Basar, Telangana. India., Vennela P. ,   B.Tech, Department of ECE, RGUKT-Basar, Telangana. India
Published: May 2020

One of the foremost, well-liked, less sophisticated Serial communication standards, I2C; a bus protocol familiarly meant for the exchange of information among the peripherals residing on the constant circuit card, houses two-wires i.e., data and clock for supporting duplex communication between multiple masters and slaves do considered as prominent and efficient in Data transmission. The present work emphasizes on the I2C controller designed for interfacing with slaves, a simple control register of I2C switches/card where the data is written or scan from, subsequently, I2C core implementation on Spartan 3E FPGA, where one of its on-chip peripheral, in this case LCD treated as a slave for performing data transactions. The entire module is designed in Verilog HDL, functional checking is accomplished with the ISIM 10.0b simulator, followed by the design synthesis using Xilinx ISE14.4 tool
Mathematical Analysis of Confirmed Cases of Coronavirus in South Korea to Assess Difference in Impact on Genders and Assessing Trends for Adequacy of Measures Employed
Authors:   Techno India NJR Institute of Technology Udaipur, Rajasthan, India., Shreemali Jitendra
Published: May 2020

Coronavirus or COVID-19 has shaken the world like nothing in the last 70 years or more. The approach so far appears to be focused more on preventing spread of cases rather than eradicating the pandemic. While South Korea’s efforts at preventing spread have produced commendable results, a mathematical analysis using polynomial regression indicates that more is needed than the presently employed measures to eradicate this pandemic or address the concern of fatalities on account of COVID-19. A vaccine could be that additional measure without which the pandemic may linger for a long time to come. Further, it is seen that though females appear to be more susceptible to falling prey to the pandemic, fatalities are greater among males indicating that gender may have a role in the manner in which the human body fights this pandemic.
Big Five Personality Prediction from Social Media Data using Machine Learning Techniques
Authors:   Professor, Department of Electronics and Communication Engineering., Maloji Suman , Mannepalli Kasiprasad ,   Associate Professor, Electronics and Communication Engineering Department., Sravani Navya ,   Student, Electronics and Communication Engineering Department, Koneru Lakshmaiah Education Foundation, Sri J, K. Bhavya ,   Student, Electronics and Communication Engineering Department, Koneru Lakshmaiah Education Foundation, Sasidhar C. ,   Student, Electronics and Communication Engineering Department, Koneru Lakshmaiah Education Foundation
Published: May 2020

Personality has been important for a number of types of cooperation; it has useful in predicting job achievement, expert and emotional relationship achievement, and even tendency towards a variety of interfaces. To accurately examine the characters of users, a personality test must be carried out. In numerous areas of online life it is usually impractical to use character research. . We used SVM classification, Random Forest algorithm, Naïve Bayes Algorithm and Logistic regression to comparatively predict the user’s personality accurately. The main goal of the paper is to evaluate the machine learning models using the four parameters- accuracy, precision, recall, f1 score and basing upon these parameters the best machine learning model will be used to classify the big five personality traits of the twitter users.
Design of a Portable Solar Powered Solar Incubator
Authors:   department of Mechanical Engineering, Federal Polytechnic, Offa, Kwara State, Nigeria., Ganiyat Salawu , Afolake Iyanda Rukayat ,   department of Food, Agric and Bio Engineering College of Engineering, Kwara State University Malate, Kwara State.
Published: May 2020

The incubation technology is having been an efficient means of producing chicks from eggs. The incubation technology does not require the service of hen before the chick is obtained from the laid eggs. The process automatically transforms eggs into chicks with some required number of days. Various types of egg incubator have been designed and fabricated by many researchers using different approach. This paper presents a more efficient incubator that was fabricated mechanically and powered by a solar energy. The fabricated poultry incubator is portable, user friendly, not expensive, and has a very low cost of maintenance. Solar energy was incorporated to take care of any power failure of electricity. The fabricated incubator was evaluated for its efficiency. The temperature supplied by the solar source was about 37°C which is enough to heat up the incubator to hatch the eggs. The average range of value obtained for the humidity was 56.15°C and the angle of tilt to rotate the tray was 46.58°. 95% of the eggs were fully hatched.
Malware Detection using ANN Malviz.AI
Authors:   B. Tech, SRM Institute of Science and Technology, Chennai, India., Sethia Vasu , Kataria Shivam ,   B.Tech,SRM Institute of Science and Technology, Chennai, India., A Jeyasekar ,   Associate Professor, CSE,SRM Institute of Science and Technology, Chennai, India.
Published: May 2020

With an increase in the number of internet users, the number of cyber-attacks happening in organizations is increasing day by day. Most of the cyber-attacks involve the use of malicious software known as malware to steal personal information, gain unauthorized access to the computer systems and carry out malicious activities which can cause huge financial losses to the organizations. Viruses, worms, rootkits, adware or anything that performs malicious activities is classified as malware. Detecting malware is a major challenge faced by the anti-malware industry as the signature-based malware detection methods may not provide accurate detection of malware. In this paper, an artificial neural network approach for malware detection is presented to overcome the shortcomings of signature-based malware detection methods. The proposed method can be used as a base model for the malware detection process and can be further developed to enhance the functionality.
The Real Time System for Perform Monitoring the Parameters of Photovoltaic Module
Authors:   doctoral student, Department of labor training, Karshi state university, Karshi, Uzbekistan, Shokhjakhon Davronov
Published: May 2020

The development of solar energy has led to the construction of multiple many MW photovoltaic systems around the world. Wherever photovoltaic systems are built, it is first necessary to study the terrain, geographical location, weather conditions and various influencing factors on solar modules. To solve the above problems and study the influencing factors, the performance of photovoltaic modules in certain areas, specialized measuring devices are needed. The article describes a system for monitoring the parameters of the solar module, which measures air temperature, module temperature, solar radiation, wind speed, current-voltage characteristic, maximum power point (MPP), efficiency and fill factor (FF) with data stored in a computer. The system is based on a programmable microcontroller with a built-in analog-to-digital converter. The program code of the proposed system also has an algorithm for finding the maximum power point of the solar module. The system performs all measurements in real time and is convenient to use, since all parameters are measured automatically and are written to the computer in the form of tables. The paper examined the characteristics of alternative commercial measuring instruments for comparison with the proposed monitoring system. An electrical circuit for measuring currentvoltage characteristics and a circuit diagram of a monitoring system are proposed. Also shown are the measurement results in the form of graphs obtained with the device in real climatic conditions. In general, the developed monitoring system based on microcontrollers and additional digital sensors has a predominantly low cost of $ 72 and is easy to manufacture.
Performance Analysis of Braced Reinforced Concrete Building in Sloped Terrain
Authors:   II-year student, M.E Structural Engineering, PSNA College of Engineering and Technology, Dindigul, India, V Suraj Harish , P Muthanand ,   Assistant Professor, Department of Civil Engineering, PSNA College of Engineering and Technology, Dindigul, India., C Rajendra Prasath ,   Assistant Professor, Department of Civil Engineering, PSNA College of Engineering and Technology, Dindigul, India
Published: May 2020

The Buildings on the hills differs from other buildings constructed in plain terrain. Each floor of building steps back towards the hill slope and at the same time buildings may have designed with setbacks configuration also. Buildings constructed in hilly areas are more vulnerable to seismic environment. This study is on generating a 3D analytical model of multi-storey buildings analyzed using structural analysis tool ‘ETABS” to study the effect of varying height of columns due to sloping ground and the effect of bracing at different positions in a different configuration of the building during an earthquake. Seismic analysis has been done using the response spectrum method. The performance of the buildings on the sloping ground is highly vulnerable to earthquake on each storey level. Buildings resting on sloping ground with step back configuration are compared to buildings resting on the plain ground with same type load applied to each of the structure. From this study entire modelling the behaviour of normal ten storey building, step back, set-step back ten storey building is studied, it is found that the displacement and base shear value shows the performance of step back building and set-step back building. This is research also focus on effective placement of bracing with different types and in different positions. The displacement values show better performance by providing X bracing in the lateral direction.
Synchronized Phasor Measurements with GPS Time Stamping using 64 Point DFT in PMU
Authors:   EEE Department, St.Martin’s Engineering College, Hyderabad, India., Alekya R. , Ponnala Ravi ,   EEE Department, Vasavi Collegr of Engineering, Hyderabad, India., Soumya Aleti ,   EEE Department, St.Martin’s Engineering College, Hyderabad, India.., Sucharitha B. Shiny ,   EEE Department, St.Martin’s Engineering College, Hyderabad, India.
Published: May 2020

This paper describes about the time synchronization of different locations voltage or current signals for accurate comparison of signals on single phasor graph, all the measured phasors are synchronized with Global Positioning System (GPS) time stamping. Day to day power demand increases very rapidly, to meet the growing demand of electrical energy new energy resources are required and manage them efficiently. For efficient allocation of sources there should be a good monitoring and fast control system. For better monitoring and control of the system accurately it requires “Wide Area Monitoring” of power system. In the wide area monitoring system collection of data from the power system should be at a faster level. The collection of data from the power system at faster level is possible by using “Phasor Measurement Units(PMUs)”. PMU collects the data at faster rate rates like 50-60 samples for cycle, this information is send to local Phasor Data Concentrator (PDC). Local phasor data concentrator collects the data from different PMUs which are located in different areas. This PDC helps to take the necessary action on power system. For synchronization, pulse per second(PPS) is taken from GPS module. From this 1PPS, 3200 pulses is generated for high accuracy of 64 point DFT of 50Hz signal using microcontroller. System frequency is calculated by using time period between the two consecutive raising edges or falling edges of square wave. This is in synchronous with the input sinusoidal signal.
Cybersecurity Pros Warn COVID-19 Pandemic as a Tool
Authors:   Ph.D.,Computer Science and Engineering (Cyber Security), Mathew Alex. R.
Published: May 2020

The COVID-19 pandemic has not only had health and economic implications on businesses, individuals, and governments but has also become a tool for hackers and crackers to use in committing cyberattacks. The purpose of this paper is to create awareness on the use of the pandemic as a cyberattack tool and to present remediation strategies. The research was conducted through a review of existing literature from websites and reputable databases, including Google Scholar and IEEE Xplore. The themes from the literature sources include the prevalence of phishing, scamming, spamming, and malware as the common attack vectors. Business enterprises, including operators in healthcare, finance, and Internet service provision, should actively implement risk management plans to monitor attack vectors and secure their systems, clients, and users from the COVID-19 attack tools.
Decibel Imaging for Generating Medical Report using Ultrasonic
Authors:   Department of Information Technology, Sri Shakthi Institute of Engineering and Technology, Coimbatore, India., N Sathya. , D Sanjai. ,   Department of Information Technology,Sri Shakthi Institute of Engineering and Technology, Coimbatore, India., R Swathi. ,   Department of Information Technology,Sri Shakthi Institute of Engineering and Technology, Coimbatore, India.
Published: May 2020

Medical imaging is commonly used for diagnosis and care in clinical practice. Report-writing would be prone to mistakes for inexperienced physicians, and experienced physicians would be time consuming and boring. To handle these issues, we study the automated generation of medical imaging reports. This task presents several challenges. First, a complete report contains multiple heterogeneous types of information including findings and tags. Second, abnormal regions in medical images are difficult to spot. Third, usually, the reports are lengthy and contain multiple sentences. To deal with these challenges, we (1) build a multi-task learning framework which jointly performs the prediction of tags and therefore the generation of paragraphs, (2) propose a co-attention mechanism to localize regions containing abnormalities and generate narrations for them, (3) develop a hierarchical LSTM model to get long paragraphs. We show the efficacy of the proposed methods on two datasets which are publicly accessible.
Hand Kinesics in Indian Sign Language using NLP Techniques with SVM Based Polarity
Authors:   B. Tech in Computer Science and Engineering at CHRIST (Deemed to be University) India, Amal Haren , Reny Reema Ann ,   B.Tech in Computer Science and Engineering at CHRIST (Deemed to be University) India, Prathap Boppuru Rudra ,   Assistant Professor and Research Scholar, Computer Science and Engineering at CHRIST (Deemed to be University) India.
Published: May 2020

With the advent of new technology every year, human beings continue to make clever innovations to benefit not only themselves but also those with some kind of impairment. Communication is carried out by talking to each other for regular people, but people who are deaf interact with each other through sign language. Taking this problem into account, we are proposing a methodology that allows to ease the communication with each other by translating speech into sign language. This paper explains a methodology that translates speech into the corresponding Indian Sign Language (ISL). In India, it is spoken in almost 28 different languages. So, language has always been a problem. Thus, we have come with a project just for India in which the person can communicate with the app in any Indian language they know, and it will convert it into Indian Sign Language. This is applicable to not just literate but also illiterate people across India. The idea is to take the speech input and translate to text, which will then undergo text-pre-processing using NLP for better analysis and will be connected to the HamNoSys data for the generation of sign languages. The polarity detection will also be included. It is implemented using the SVM algorithm for Sentimental Analysis. Thus, the main objective of this project is to develop a useful project which can be used to capture the whole vocabulary of Indian Sign Language (ISL) and provide access to information and services to mute people in ISL.
Classification of Watermelon using Sound Processing.
Authors:   Department of Computer Science, CHRIST (Deemed to be University), Bangalore, India, T Pavadharini , HB Anita ,   Associate Professor, Department of Computer Science, CHRIST (Deemed to be University), Bangalore, India.
Published: May 2020

In a country like India, wide variety of fruits are available. Fruits plays an important role in the health of human beings and naturally health improves, if the quality of the fruit is good. Grading of the watermelon quality helps the consumers and vendors. The proposed work is to classify the watermelons based on the sound. Sound file dataset is created manually by tapping the watermelon and recording the sound. Dataset consist of different types of watermelon. For this, different size, colour and shape of the watermelons are used. Features are extracted from the sound files. Naïve Bayes, SMO and Random Tree classifiers are used for classification. The proposed work has achieved average accuracy of 78.8 %.
Leverage of Learning Science through Blended Learning Technique
Authors:   PhD. Research Scholar, Department of Education (DDE), Alagappa University, Karaikudi, Tamil Nadu, India, Selvakumar S. , Sivakumar P. ,   Professor & Head, Department of Education (DDE), Alagappa University, Karaikudi, Tamil Nadu, India., Daphine R. ,   Assistant Professor & Head, Department of PhysicsUG SF. The American College, Madurai, Tamil Nadu, India.
Published: May 2020

Digitalization in education is becoming a standard for 21st century’s pedagogical contexts. Blended learning presents new learning situation based on technology for learners, thus requiring diverse research for establishing effective teachinglearning. The present study aims to find out the effectiveness of adopting a blended learning technique in learning science course at the high school level. A quasi-experimental design has been applied for the present research work. This research work used an intact class of 60 high school students treated as the sample. The tools adopted for data collection were the Science Achievement Test (SAT) and Blended Learning Technique (BLT). For four weeks, the learners in the experimental group were taught with the blended learning technique, while the control group was treated with the traditional learning technique. Two groups were administered the three tests such as pre-test, post-test I and post-test-II. The analyzed data and findings revealed that the significant differences between the mean scores of control and experimental groups. The study concluded that blended learning significantly improves learner’s achievement in science and retention ability. It is recommended to adopt blended learning technique as it enhances the learner’s academic achievement and retention.
Lbl Lstm Log Bilinear And Long Short Term Memory Based Efficient Stock Forecasting Model Considering External Fluctuating Factor
Authors:   Assistant Professor, Department of CSE, K.I.T's College of Engineering, Kolhapur, Gurav Uma , Kotrappa S. ,   Professor, Department of CSE, K L E’s Dr MSS College of Engineering & Technology, Belgaum.
Published: May 2020

Stock market prediction problem is considered to be NP-hard problem because of highly volatile nature of stock market. In this paper, effort has been made to design efficient stock forecasting model using log Bilinear and long short term memory (LBL-LSTM) considering external fluctuating factor such as varying Bank's lending rates. The external factor bank's lending rates affects stock market performance ,as it plays vital role for the purchase of stocks in case of financial crisis faced by various business enterprises. Proposed LBL-LSTM based model shows performance improvement over existing machine learning algorithms used for stock market prediction.
Rakshak An IoT Based Wearable Device for Women Safety
Authors:   Computer Science, Vellore Institute of Technology, Vellore, India, Singhal Ambika , Jain Shreyans ,   Computer Science, Vellore Institute of Technology, Vellore, India, Agarwal Keshav ,   Computer Science, Vellore Institute of Technology, Vellore, India.
Published: May 2020

Women safety is a rising concern in many parts of the world. Crimes against women are increasing at an alarming rate. To counter this situation, a technology driven solution with the help of latest technological advancements can be developed. The aim is to develop an IoT based wearable device which works on the concept of voice recognition and allow women in the case of emergency. The device can send SOS messages to nearby help centers and relatives based on the person’s location when it is activated. The device can also collect evidence for further legal procedures and save them in a remote storage. The concepts of Internet of Things (IoT), Voice Recognition and Cloud Computing are used to achieve this. The objective is to use these concepts to develop a working prototype of a smart safety device for women that can help them in such situations and prevent such incidents from taking place. ‘Rakshak’ is an IOT based solution, which will help us to combat these situations effectively. It contains a concealed GSM, GPS, camera, microphone, and voice recognition module. The woman can activate a sequence of events using a voice command. The voice command will send out an SOS signal to contact list, and nearby authorities. The authorities can rush to the location of the incident and prevent it. The camera will start recording as soon as the voice command is activated, and this data will be sent to cloud storage. In case an attack takes place, the footage of this camera will serve as evidence against the attacker. In addition to preventing the incident, this device may create a sense of fear in their minds which may reduce the frequency of such incidents. Thus, this solution can be applicable as a wearable security device in different domains and can be used on a large scale to ensure women safety.
The Implementation of Fleet Monitoring System using Mobile based Software
Authors:   Assistant Professor in CSE Department, SCSVMV Deemed to be University, Geetha V. , Gomathy C.K. ,   Assistant Professor in CSE Department, SCSVMV Deemed to be University, Kiran Maddu Pavan Manikanta ,   UG Scholar CSE Department, SCSVMV Deemed to be University, Rajesh Gandikota ,   UG Scholar CSE Department, SCSVMV Deemed to be University
Published: May 2020

Fleet management is an emerging area in analysis and development nowadays. Large scale Companies, emergency forces must to keep track of their trucks and cars and finding out where the vehicle is at the current timing. Our system includes two mobile applications one for organization head i.e., Smart Fleet and other for the driver of the vehicle (smart driver). This system enables the organization to keep track of their vehicles all the time. This is done by the geolocation of the mobile phone in which smart driver application is installed is shared to the mobile phone in which smart fleet application is installed. Organization head who is having our application installed is able to monitor the vehicles, updating the data.
A Framework for the Image Retrieval System Based on Histogram Normalization Technique with Python
Authors:   from Computer Science and Engineering, VR Siddhartha Engineering College,Vijayawada,India., Pydi Madhuri , Sailaja K.L. ,   Department of CSE, from VR Siddhartha Engineering College, Vijayawada, India.
Published: May 2020

The processing of multimedia content is used for real-world computer vision in various applications, and digital images make up a large part of multimedia data. The processing of multimedia content is used for real-computer vision in various applications, and digital images make up a large part of multimedia data. Content-based Retrieval of photographs (CBIR) is a system of picture recovery which utilizes the visual highlights of a picture, for example, shading, shape and surface so as to look through the client based inquiry pictures from the huge databases. CBIR relies upon highlight extraction of a picture which are the visual highlights and these highlights are extricated naturally i.e. without human collaboration. We intend in this paper to provide a detailed overview of recent developments related to CBIR and image representation. We researched the main aspects of various models of image recovery and image representation from low-level feature extraction to recent semantict ML approaches. And, for extraction of features, HSV, image segmentation and color histogram techniques are used, which effectively gives us the main point in an image that these techniques are used to minimize complexity, expense, and energy and time consumption. Then a machine learning model is trained for similarity test and the validation and texting phases are performed accordingly which leads to better performance as. Then a machine learning model is trained for similarity testing and then the validation and texting steps are performed accordingly, resulting in improved results compared to previously performed techniques. The precision values in the proposed technique are fairly excellent.
Sizing and Balancing of a Semi-Automated Line for Automotive Electric Motors by Means of Ergonomic and Performance Analysis
Authors:   department of Engineering and Applied Sciences, University of Bergamo, Dalmine (BG), Italy., Righettini Paolo , Strada Roberto ,   department of Engineering and Applied Sciences, University of Bergamo, Dalmine (BG), Italy, Togni Stefano ,   department of Engineering and Applied Sciences, University of Bergamo, Dalmine (BG), Italy., Cortinovis Filippo ,   department of Engineering and Applied Sciences, University of Bergamo, Dalmine (BG), Italy., Fissore Cristiano ,   Advanced R&D. Brembo S.p.A., Stezzano (BG), Italy
Published: May 2020

Smart mobility has become more and more critical during the last years, being one of the most keyways to reduce and regulate vehicular traffic and relevant environmental pollution. In this context, the University of Bergamo participates in a broad project promoted by Brembo S.p.A., a well-known Italian automotive company specialized in vehicles' braking systems, aimed at the synergistic development of the design of brushless electric motor for braking and the relevant production process. The present paper concerns the design phase of the manufacturing line and, in particular, the sizing and the balancing of the line itself. The production line is a semi-automated one, hence many different scenarios have been considered, according to the number of operators and to the number of machines assigned to each operator. The method applied for the design process is based on the application of discrete – event simulations; as a tool for the analysis of each scenario, FlexSim software has been used. The high number of workstations involved, the evaluation of the ergonomics and productivity of each single task, and the use of a wide range of indexes as assessment criteria lead to an activity characterized by a high level of complexity. The operators' ergonomic analysis refers to the ISO standard related to the evaluation of the ergonomic risks and on the operator's walking distance covered during the shift. The paper ends showing how it is possible to define the best scenario, taking into consideration such indexes which concern productivity, ergonomics, optimal balancing of the operators and the distance travelled by the operators during the shift.
Security in Smart Meter using Iot
Authors:   Assistant Professor,Dept. of Computer Application, GNIT, Chowdhury Somalina , Sen Santanu Kumar ,   Principal, GNIT
Published: May 2020

Today digitalization is key of our lifestyle not only in cities but also in rural areas. Nowadays, Internet of Things (IoT) is adding feathers to this globalization. In this research paper we will discuss about the safety and security of one of the most popular applications in IoT, i.e, Smart Meter in Smart Grid. Especially about Smart Meter in Smart Grid, which is fundamental part of it. Smart Meter unlike traditional metering system bidirectional in nature. Thus they have two streams one for power flow and second is data collection, analysis and processing i.e, communication, this is done by communication channel. Assured, strong, high-end security must be designed to the communication network so that data cannot be tampered, manipulated or interrupted by outer world. Here we will apply a unique technique of cryptography by which a secure communication channel method using Genetic Algorithm can be designed. By implementing this technique we can ensure a safe communication between customer and utility company. Thus, provide security to the data flow.
Crime Analysis using Machine Learning Algorithm
Authors:   M.TECH, Assitant professor(Sr.G) , Department of CSE SRM Institute of science and Technology ,Chennai, Tamilnadu,,India., Kumar G. Raj , Saikumar Kothamasu G.V ,   Department of CSE, SRM Institute of Science andTechnology chennai, Tamilnadu, India, Gopinath Dupuguntla Vaibhav ,   Department of CSE,SRM Institute of Science and Technology ,Chennai, Tamilnadu, India., Rrochish Vemisetty ,   Department of CSE,SRM Institute of Science and Technology ,Chennai, Tamilnadu
Published: May 2020

Counteraction is better that Cure. Forestalling a wrongdoing from happening is superior to examining what or how the wrongdoing had happened. When I pick out do expand this venture the fundamental hassle is growing the centralized server. Awful conduct scene want has relies mostly on the certain awful conduct record and various geospatial and part data. In existing machine they're proposed only getting the crime from the consumer most effective until now they didn’t have system for prediction the crime. Wrongdoing that happens nowadays are have following key qualities, for example, violations rehashing in an occasional style, wrongdoings happening because of some other action and event of violations pre shown by some other data .In our proposed system we overcome that answer and we enforce the Prediction System. We need to accumulate raw facts and method in addition. We use Random forest Algorithm
Media File Jacking Threats and Protections
Authors:   Research Scholar, Quaid-E-Millath College for Women, Chennai, Tamilnadu, India., K Shinto Kurian , Nirmala K ,   Assoc. Professor, Quaid-E-Millath College for Women, Chennai, Tamilnadu, India.
Published: May 2020

Media File Jacking (MFJ) is one security threat that affects media file usages within apps. Media files include image files, voice/audio files, video files and document files like pdf, docs, excel sheets, text files, etc. and these files easily find its place within our devices. The primary symptom of a Media File Jacking attack is that it will manipulate the media files, on transferring between users or apps. This type of malwares mainly targets mobile devices. The researchers from Symantec reported that this vulnerability has already found its way into the two top social media messaging apps namely, WhatsApp and Telegram. Not just limited to this, media file jacking can easily target mobile functioning’s whilst managing affected media files and its managed media chat apps. This analysis in detail tries to understand the vulnerabilities that devices are left exposed to via Media file jacking and how can protect Android based mobile devise with the help of existing, upcoming, configurable or programmable features. We try to cover in detail on i.) What Media file jacking attack is? ii.) How this vulnerability is created? iii.) Under which scenario this will happen iv.) What are the different types of attacks? iv.) What are the implications of this attack? v.) what are precautionary measures and how we can mark safe our mobile devices from this attack. This study mainly help to Android media app users and app develops to get a glance about the precautionary measures from media file jacking attack.
Effect of Biopolymer on Bricks
Authors:   Final year student (B.E) , Department of Civil Engineering, IFET College of Engineering, Villupuram, India., Vasanthapriya S. , Divya K.S. ,   Senior Assistant Professor, Department of Civil Engineering, IFET College of Engineering, Villupuram, India
Published: May 2020

Compressed Stabilized Earth Brick (CSEB) is a one of the sustainable building material utilizing locally available soils mixed with stabilizers in order to increase its strength. This type of brick mainly consists of soil, sand and a stabilizing agents such as lime, fly ash, chemicals etc. Fly ash brick (FAB) is also a building material containing class C or class F fly ash ,fine aggregate, lime and gypsum .Both the bricks are unburnt bricks which is used to reduce the fuel consumption. In this study, the laterite soil is used and it is stabilized by chemical stabilization which is extensively employed to enhance the physical and mechanical properties of problematic soil. This study examines the effect of xanthan gum which is one of the biopolymer stabilizer in both the compressed laterite soil brick and fly ash brick . Experiments have been conducted by replacing 2%, 4% and 6% of xanthan gum in compressed laterite soil brick and replacing 2%, 4% and 6% of xanthan gum in fly ash brick partially with cement. The results indicate the potential use of xanthan gum. Tests were conducted on both the bricks and it is compared with normal clay fired brick. It has been shown that 4 % of xanthan gum in compressed laterite soil brick gives high strength of about 8.79 N/mm2 and 6 % of xanthan gum in fly ash brick give more strength of about 7.31N/mm2 .The minimum water absorption is achieved in both compressed laterite soil brick and fly ash brick of about 14.2 % and 10.10 % in the mix of C2 and F3. It promotes a healthier building material and cost reducing not only in production but also in service cost