bluuebunny/crossref_metadata_2025 huggingface dataset:
Monitoring and Controlling of Soil Relative Humidity using Labview
Authors:   Department of Electronics and Communication Engineering, MLR Institute of Technology, Hyderabad, India., Vadlamudi Syambabu , Chinnarao B. ,   Department of Electronics and Communication Engineering, MLR Institute of Technology, Hyderabad, India, Vanitha N. ,   Department of Electronics and Communication Engineering, MLR Institute of Technology, Hyderabad, India.
Published: May 2020

The content here gives about the technique which is incorporated to monitor the moisture content in the soil and it enables agriculturalists feasibility of humidity measurement. According to this moisture control sensor circuit, it can observe the corresponding relative humidity and water the plants automatically by observing the conditions using LabVIEW system and myDAQ. The sensed signal from the sensor is interfaced to a LabVIEW loaded PC which acquires the signal as a voltage. With the help of counter pin, a submersible pump turns ON and OFF automatically to water the plants based on soils condition. Farmer can vary the time limit. When the time limit exceeds, he can view the LEDs and buzzer is in ON state. It is applicable in agriculture lands, land irrigation, simple sensors for gardeners.
Maturity Level Knowledge Management System at Travelodge Batam Hotel using the Cobit 5 Framework
Authors:   Information Systems Management Department, BINUS Graduate Program – Master of Information Systems Management, Bina Nusantara University, Jakarta, Sfenrianto  , Firmansyah Muhamad Dody ,   Information Systems Management Department, BINUS Graduate Program – Master of Information Systems Management, Bina Nusantara University, Jakarta
Published: May 2020

Advances in technology and science are increasing as a new challenge for companies that must manage knowledge assets for encourage the creation of knowledge management. Knowledge Management System (KMS) that already exists at a company like Travelodge Hotel Batam can run effectively, it is necessary to conduct an evaluation activity by examining how the process of managing knowledge possessed by each individual can be transferred to other individuals through the process of knowledge sharing. The study aim analyzes to find out the extent of the processes of knowledge level management found in Traveldoge Hotel Batam at the maturity level of the KMS. The Cobit 5 Framework Model used to evaluation the KMS in this company. The results of the analysis are maturity analysis ((AP07, BAI4, DSS3, DSS6, and MA01) and recommendation than expected to be an evaluation material that will have an impact on the KMS of company later.
Object Detection and Recognition for Visually Impaired People
Authors:   Computer Science and Engineering, Sri Krishna College of Engineering and Technology, Coimbatore, India., K Sasikala Rani , D Jeevitha ,   Computer Science and Engineering, Sri Krishna College of Engineering and Technology, Coimbatore, India.
Published: May 2020

Good vision is an expensive gift but now a day’s loss of vision is becoming common issue. Blind or visually impaired people does not have any conscious about the danger they are facing in their daily life. To help the blind people the visual world has to be transformed into the audio world with the potential to inform them about objects. Various challenges are faced by visually impaired patients even in the familiar environment. Visually impaired individuals are at drawback due to lack of sufficient information about their familiar environment. This project employs a Convolution Neural Network for recognition of pre-trained objects. This project employs in deep learning a deep Neural Network (DNN) for recognizing the object which is captured from the real world. The captured image is compared with some pre trained objects that is stored in dataset .The comparative of the object is based on the shape and size of an objects. In deep neural network, TensorFlow package using a model called Mobile Net SSD that is comparing the real time capture image with pre trained object based on shape, size of the object. If the image is matched with that trained object, it will display the name of the object. Then the name of the object is converted into audio output with the help of gTTS. This will helps to identify and detect what object is present in front of blind people and give output as audio.
A Road Map to Understand the Current Status of Diabetic Retinopathy Detection and Classification Methods
Authors:   E & TC Dept Sinhgad College of Engineering, Pune, India., Shivsharan Nitin M , Ganorkar Sanjay ,   E & TC Dept Sinhgad College of Engineering, Pune, India
Published: May 2020

In the working-age population, the primary reason for blindness is Diabetic Retinopathy, which can be identified from the retinal fundus image. So far, more research works had been progressed for DR early detection since it is vital to save the vision of diabetes patients. This research work has made a short survey on diverse DR detection mechanisms for determining the shortcoming of contributed papers to promote the future scope of this research aspect. The overall analysis is made with respect to chronological review, performance parameter analysis, and algorithmic analysis used in different contributed papers. The obtained best performance values are also clearly determined. Moreover, the research gaps and challenges associated with this diabetic retinopathy detection and classification methods are discussed further, which directly paves way for future progressions.
Experiment on Reuse of Effluent in Casting and Curing of Concrete
Authors:   Final year Civil Engineering student, Pimpri Chinchwad College of Engineering, Nigdi, Pune., Bajbalkar Mayuresh S. , Bangar Rushikesh ,   Final year Civil Engineering student, Pimpri Chinchwad College of Engineering, Nigdi, Pune, Pawar Pratik ,   Final year Civil Engineering student, Pimpri Chinchwad College of Engineering, Nigdi, Pune., Chaudhari Rahul S. ,   Assistant Professor, Civil Engineering Department, Pimpri Chinchwad College of Engineering, Nigdi, Pune.
Published: May 2020

Due to climate change and increasing population demand of water is increasing. In coming days there will be less availability of water for construction industry. On the other hand a huge quantity of water has been released to the nearby stream after treatment from Sewage Treatment Plant by the Municipal Corporations. Reuse of waste water is very less. The waste water collected is mainly from domestic. After secondary or tertiary treatment the water is released. So it is possible to reuse the effluent water for construction (mainly for Concrete casting & curing. As per the literature survey, new combinations are created seven different possibilities to find which the best preferable combination to reuse the water is. This will leads to saving the portable water and also the water can be used for drinking purpose which is current need of the society. This will satisfy need of industry, society & environment. Main focus of this experimental investigation to search possibility to use effluent water for construction purpose individually or in combination mainly for Concrete casting & Curing.
Smart Irrigation Prediction using Artificial Neural Network ANN with Evapotranspiration Rate Equations and Internet of Things IoT for Paddy Field
Authors:   CIS Department, Universiti Teknologi PETRONAS, Tronoh, Malaysia., Hilmi Muhammad Zahid bin , Anwar Toni ,   CIS Department, Universiti Teknologi PETRONAS, Tronoh, Malaysia., Rambli Dayang Rohaya Awang ,   CIS Department, Universiti Teknologi PETRONAS, Tronoh, Malaysia.
Published: May 2020

It is estimated that by 2050, the world’s population will increase to 10 billion people and water scarcity is going to be a major problem due to an increase number of populations with limited water resources. One of the ways to tackle this problem is by having a precision irrigation which is by estimating the crops water need in which it can improve water utilization. This research is very suitable to be implemented for paddy since paddy consumed a lot of water compared to other types of crops. In order to be able to do it, ANN and Evapotranspiration Rate equation will be used to develop a prediction model to estimate water lost. The prediction model in theory will analyze the historical data and compared it with current data collected in the field and predict water needs based on the output concluded. IoT will act as monitoring and controlling platform for irrigation by automating the irrigation which in result, better water utilization. Prediction model and IoT combination proved that better water utilization can be achieved. The targeted result will be to achieve better water utilization using prediction model and IoT.
Inventory System with Shortages and Weibull Deterioration Purpose
Authors:   Department of Mathematics, SRM Institute of Science & Technology, Ghaziabad-201204, India., Bansal Kapil Kumar , Singh Ompal ,   Department of Mathematics, SRM Institute of Science & Technology, Ghaziabad-201204, India, Kumar Satish ,   Department of Mathematics, SRM Institute of Science & Technology, Ghaziabad-201204, India, Chaudhary Priti ,   Department of Mathematics, SRM Institute of Science & Technology, Ghaziabad-201204, India
Published: May 2020

In the paper, a venture has been made to develop a stock presentation for interminable planning horizon with exponentially growing interest value. It might be seen that debilitating doesn't depend on time as it were. It can impact as a result of climate conditions, clamminess, and capacity conditions, etc in this way it is progressively reasonable to consider rot rate as two-parameter Weibull spread work. Inadequacy is allowed and totally multiplied. The holding cost contemplated a direct limit of time. The ideal solution of the proposed stock show is construed and pondered same cases.
Design and Implementation of Prototype EMIR for Dynamic Charging of Electric Vehicles
Authors:   School of Engineering & IT, Manipal Academy of Higher Education, Dubai, UAE, Crasto Kimberly Mary , Malhotra Navan ,   School of Engineering & IT, Manipal Academy of Higher Education, Dubai, UAE, Poojary Ramaprasad ,   School of Engineering & IT, Manipal Academy of Higher Education, Dubai, UAE
Published: May 2020

Electric Vehicles (EVs) are considered to be one of the most sustainable forms of transportation. Unlike hybrid vehicles or gas-powered cars, EVs run solely on electric power. However, despite their many benefits, EVs are facing major challenges in the market today. The major challenge being its exorbitant costs as compare to fuel-based cars. And, range anxiety also proves to be a hurdle for EVs [6]. Thus, to answer all the aforementioned challenges, we proposed Electro-Magnetic Induction-based Roads (EMIR), a dynamic wireless recharging system. EVs would be able to slip into a special EMIR green lane, recharge their batteries a bit, and slip out. This technology will thus reduce the size of the EV battery, which is the most expensive part of the EV, by increasing its effective mileage and the life of the battery. This paper elaborates on the method of performing dynamic wireless power transfer through resonance based electromagnetic induction. A 163 cm long and a 30 cm wide transmitter coil was designed to transfer electrical energy to an oval-shaped receiver coil with 40 cm as its major axis and 30 cm as its minor axis. The EV battery is dynamically recharged by a charging infrastructure between the road and the vehicle while it is in motion with a high efficiency. The transmitter coils are essentially supposed to be embedded in the road but are placed over the road for visual purposes. The receiver coil is placed under the EV. When the EV goes over the electric road, it gets dynamically recharged. A prototypic EMIR was successfully designed to demonstrate the Dynamic Wireless Power Transfer (DWPT) for EVs.
Design and Devolopment of Smart Framework System for Toddler Monitoring
Authors:   Assistant Professor, Sri Krishna College of Technology, Thiyagupriyadharsan M. R. , Rajeswari A. Raja ,   Student, Bachelor of Engineering, Sri Krishna College of Technology, Sindhukavi C. ,   Student, Bachelor of Engineering, Sri Krishna College of Technology, Yogeswaran K. ,   Student, Bachelor of Engineering, Sri Krishna College of Technology
Published: May 2020

This paper proposes an efficient monitoring system for toddlers, with wireless communication based on IoT technology. A prototype is developed which gives a reliable and efficient toddler monitoring system that can play an important role in providing better toddler care. This structural set-up monitors and display the essential parameters such as range of temperature and humidity content and heart pulse range in bpm also the movement of a toddler and this information is conveyed to their parents. The main reason for choosing this kind of system for their toddler is to give a comfort and contentment to the loved ones when they are away from their toddler as they can get update status of their well beings. The whole prototype will be working on the basis of a single controller which controls the entire system to provide the precise output extended its advancements to the cloud storage which provides easy access and increased memory and efficiency. The other advantageousness is the scheduling of alarm conditions can take the edge off any imprecision through a conventional sensor. Communication is done by cyberspace which is need and uncomplicated accessible thing.
Structured Learning and Prediction in Facial Emotion Classification and Recognition
Authors:   Ibn Tofail University, Faculty of sciences, Kenitra, Morocco, Ounachad Khalid , Oualla Mohamed ,   Faculty of sciences and technology, Moulay Ismail University, Errachidia, Morocco, Souhar Abdelghani ,   Ibn Tofail University, Faculty of sciences, Kenitra, Morocco., Sadiq Abdelalim ,   Ibn Tofail University, Faculty of sciences, Kenitra, Morocco
Published: May 2020

Structured prediction methods have become, in recent years, an attractive tool for many machine-learning applications especially in the image processing area as in customers satisfaction prediction by using facial recognition systems, in criminal investigations based on face sketches recognition, in aid to autistic children and so. The main objective of this paper is the identification of the emotion of the human being, based on their facial expressions, by applying structured learning and perfect face ratios. The basic idea of our approach is to extract the perfect face ratios from a facial emotion image as the features, this face emotional images are labeled with their kind of emotions (the seven emotions defined in literature). For this end, first we determined sixty-eight landmarks point of image faces, next we applied a new deep geometric descriptor to calculate sixteen features representing the emotional face. The training and the testing tasks are applied to the Warsaw dataset: The Set of Emotional Facial Expression Pictures (WSEFEP) dataset. Our proposed approach can be also applied in others competitor facial emotion datasets. Based on experiments, the evaluation demonstrates the satisfactory performance of our applied method, the recognition rate reaches more than 97% for all seven emotions studied and it exceeds 99.20% for neutral facial images.
Generating Analytics from Web Log
Authors:   Assistant Professor Department of Information Technology, GRIET, Prashanthi Vempaty , Kanakala Srinivas ,   Assistant Professor, Department of CSE, VNRVJIET, Hyderabad, India.
Published: May 2020

Recent engineering trends integrate clever expertise in every factors of our lifes. Today’s technologies generate terra bytes of recorded messages every day to record their data. It is difficult to research on such recorded messages and represent usable records such as patterns to directors, so as to manipulate and reveal those technology. Patterns minimally characterize huge corporations of recorded messages and allow the manager to do future analysis of data, along with variance detection and event forecast. Even though patterns exist typically in automatic recorded messages, spotting them into large collection of recorded messages from different resources lacking any past information is a widespread responsibility. We aim a bigdata using hadoop so as to extract very pleasant styles for the set of recorded messages which are given. Our approach is high-speed, memory efficient, exact, and expandable. Hadoop is implemented in map reduce framework intended for disbursed platforms to procedure hundreds of thousands of recorded messages in a moment. Hadoop is a strong technology which is used for different recorded messages produced in a wide style of systems. Present technique uses algorithmic procedures to limit the additional over- head based totally on the truth that recorded messages are continually routinely produced. We examine the accuracy of Log Mine of huge units of recorded messages produced in commercial appliances. It has efficiently created styles which might be as exact as the styles produced by genuine and un expandable procedures.
Analytical Network Process in Selection of 7PL
Authors:   Department of Mechanical Engineering, Andhra University, Visakhapatnam, Andhra Pradesh, India., Praveena J. , Devi M. Pramila ,   Department of Mechanical Engineering, Andhra University, Visakhapatnam, Andhra Pradesh, India.
Published: May 2020

This article aims in selection and evaluation of a Seventh Party Logistic provider (7PL) which integrates all the functions of a company globally. The procedure for selection is based on the criteria’s and their relative priority weights. Analytical Network Process (ANP) is used in complex problems where Multi-criteria decision making is involved. After identification of criteria using ANP final selection is done. This paper is informatory to researchers to understand and apply ANP to MCDM problems.
Stockpile Sensor Increases the Availability of Yard Equipments-Ports
Authors:   scholar, Department of Mechanical Engineering, Andhra University, Visakhapatnam, Andhra Pradesh, India, Babu G. Vara Prasad , Devi M. Pramila ,   Principal, women’s college of engineering, Andhra university, Visakhapatnam, Andhra Pradesh, India,
Published: May 2020

The purpose of the study is to assess the importance of stock pile sensor plays a pivotal role in the availability of yard equipment’s wiz reclaimers, stackers, stacker cum reclaimers. By increasing the availability of the equipment we can reduce the turnaround time of the vessel by which the customer satisfaction can be achieved optimistically. The stock pile sensor been installed for irregular contact of boom while reclaiming/ stacking, and to prevent damage of bucket wheel teeth from worn out. The stock pile sensor and inter lock system and chute block sensors ensures the reduction of over tons per hour issues arising from sudden stoppage of conveyors along the operational circuit under operations, chutes and tripper car discharge chutes over choked with cargo related issues, considering the parameters of man power, and time factors can be saved and can be used for other maintenance purposes and to get back the circuit into operational effectiveness increasing the availability of the yard equipment’s.
Design and Simulation of MPPT Control for Solar Powered AC Autonomous LED Lighting Applications in MATLAB Simulink Environment
Authors:   Assistant Professor in the department of EEE in Saranathan College of Engineering, Trichy., Babu P. Ramesh , Krishnakumar C. ,   Professor/Head in the department of EEE in Saranathan College of Engineering, Trichy., Kiruthiga S. ,   PG Scholar in the department of Power Electronics and Drives in Saranathan College of Engineering, Trichy.
Published: May 2020

As an AC LED light applications have become a commonplace item of light industry, it has a wide range of usage in garden lighting, cove lighting, office lighting and retail applications. The paper brings out the utilization of Boost converter along with Maximum Power Point Tracker (MPPT) technique for the control of Photovoltaic power. This proposed system which includes Boost converter, a single phase full bridge inverter with Sinusoidal Pulse Width Modulation (SPWM) technique. The main concept of this converter includes designing of boost converter that provides an output voltage of 350V DC and single phase SPWM provides 350V, pure sine wave output (230V RMS) applicable to AC autonomous LED Lighting system. In order to bring out a transformer free inverter, the designed boost converter is simulated in the MATLAB Simulink software and the results are shown with low THD as per IEEE standard, with acceptable power factor and higher efficiency.
Detection of Hoax Spread in The Whatsapp Group with Lexicon Based and Naive Bayes Classification
Authors:   Magister Teknik Informatika, BINUS University , Jakarta, Indonesia, Andrean Jordan , Suharjito  ,   Magister Teknik Informatika, BINUS University , Jakarta, Indonesia.
Published: May 2020

Spreading hoax through WhatsApp social media can lead to different beliefs and can cause disputes for those affected. This paper proposes a hybrid model for finding hoaxes in the WhatsApp group using a combination of knowledge-based and machine learning approaches. This Hybrid model combines two methods namely Lexicon based and Naive Bayes Classifier which will be applied to the WhatsApp monitoring application. This research focuses on two main aspects namely word weighting using the lexicon based method and data classification using the Naive Bayes Classifier and Decision tree-j48 methods. The dataset used is conversation data that is crossed from the WhatsApp group. Based on the experiments that have been carried out, it is obtained the results of classification using Naive Bayes classifier of 86.670% data conversation not indicated hoaxes and 13.330% indicated hoaxes. The average value of the percentage of truth obtained more than 75%. The average value of the classification performance evaluation results in a precision value of 0.771, a recall value of 0.754, an F-measure value of 0.773
Design and Analysis of Reconfigurable DMTL phase Shifter for High Speed Applications by Mechanical Tuning
Authors:   his/her Department of Electronics Engineering School of Engineering & Technology, Pondicherry Central University, Pondicherry., India., Srihari G. , Shanmuganantham T. ,   Department of Electronics Engineering School of Engineering & Technology, Pondicherry Central University, Pondicherry., India..
Published: May 2020

Tremendous advancement in the field of Radio-frequency were developed through Micro-fabrication techniques, these technologies miniaturize device in a micro-scale behavior for improved device performances. These technologies are developing rapidly due to its distinct features and wide usage in various applications ranging from switches to sensing devices. The principal behind this work is to build a MEMS based Reconfigurable DMTL phase shifter based on RF MEMS switch with improved device phenomenon like switching speed, low actuating voltage, losses and stress factors. The RF switch is build in a series behavior through co-planar waveguides. Generally switching speed is a major concern in RF MEMS devices because of the presence of the actuating elements within the structure which in turn hinders the device ability to function. The phase shifter designed helps in improving the overall switching speed of the device without electrical or dimension alternation of the device. In this paper, we are implementing a PUSH PULL based RF MEMS reconfigurable switch which was structurally altered based on triangular cantilevers in order to enhance the device switching speed. This would develop and enable better application in terms of reconfigurable phase shifter which can be operated at the wider bandgap applications. Even the resonant frequency enhancement was made which provokes an increase of 13% in terms of the switching speed.
A Novel Framework for Anomaly Detection in Video Surveillance using Convolutional LSTM
Authors:   computer science department, Vellore Institute of Technology (VIT) University, Raipur, Chhattisgarh., siddhu Lovleen , Sridhar Ranganathan ,   school of computer science and engineering (SCOPE), Vellore Institute of Technology (VIT) University, Chennai, India.
Published: May 2020

Today, due to public safety requirements, surveillance systems have gained increased attention. Video data processing technologies such as the identification of activity [1], object tracking [2], crowd counting [3], and the detection of anomalies [ 4] have therefore been rapidly developing. In this study, we establish an unattended method for the detection of anomaly events in videos based on a ConvLSTM encoder-decoder to learn about the evolution of spatial characteristics. Our model only covers typical video events during preparation, whereas in testing the videos are both usual and abnormal. Experiments on the UCSD datasets confirm the validity of the suggested approach to abnormal event detection.
Credit Card Fraud Detection using PSO Optimized Neural Network
Authors:   M.Tech. Scholar, Department of Computer Science, Pacific University (PAHER), Udaipur, India, Dashora Monika , Sharma Prashant ,   HOD, Department of Computer Science,Pacific University (PAHER), Udaipur, India, Bhargava Ankita ,   Assistant Professor, Department of Computer Science, Pacific University (PAHER), Udaipur, India
Published: May 2020

Credit card fraud is one of the most important problems that financial institutions are currently facing. Although the technology has allowed to increase the security in the credit cards with the use of PIN keys, the introduction of chips in the cards, the use of additional keys such as tokens and improvements in the regulation of its use is also a necessity for banks, to act preventively against this crime. To act preventively, it is necessary to monitor in real time the operations that are carried out and have the ability to react in a timely manner against any doubtful operation that is performed. This paper presents an implementation of automatic credit card fraud detection system using Particle Swarm Optimized Neural Network classifier on Kaggle dataset. The selection of proper attributes for reducing the training overhead and claiming higher accuracy for the fraud detection using soft computing. Performance evaluation is achieved using confusion matrix plot with accuracy, sensitivity and precision values.
Integrated Partial Encryption and Watermarking Technique for Digital Video using Chaos and Support Images
Authors:   Department of Electronics and Communication Engineering, North Eastern Regional Institute of Science and Technology, Nirjuli, Arunachal Pradesh, India, Hussain Md. Anwar , Bora Popi ,   Department of Electronics and Communication Engineering, North Eastern Regional Institute of Science and Technology, Nirjuli, Arunachal Pradesh, India
Published: May 2020

Encryption and Watermarking are image processing tools that are used mostly separately. Encrypting a document completely obscures it and watermarking is applied mostly for copy right protection. For entertainment type videos, partial encryption and watermarking may be integrated such that both objectives are attained. We report in this paper a novel combined partial encryption and watermarking algorithm for digital videos using chaotic system and support image. Watermarks are generated by using iris information of the authentic user or the authentic producer of the digital video. Watermarks of full size and half size are embedded in the luminance frame (s) of the video using simple LSB steganography. A sequence of color frames is watermarked in two phases, and partially encrypted in two layers, the watermarks considered are encrypted before embedding. The luminance frame (s) is (are) preprocessed before embedding with the watermarks to defy stega-analysis. Chaotic logistic map and a gray level support digital image is used for obtaining unique row/column sequences as well as for generating robust random binary sequences. A support color digital image is used in the first layer encryption of the digital video. Modified Rabinovich 4 dimensional hyper-chaotic system is used for second layer encryption. Encryption algorithm is applied in R, G, B frames separately. The technique may also be applied for integrated encryption and watermarking of digital images.
Application of Cane Ash on Compressive Strength of Soil Uncovered to MgSO4
Authors:   was with Curtin University Bentley Campus in Perth, Western Australia, Mikhail Mark , Chegenizadeh Amin ,   with Curtin University, Perth, Western Australia, Keramatikerman Mahdi ,   with Arup Australia, Queensland, Australia, Burns Geoffrey ,   Geotechnical Lead with Arup Australia, Queensland, Australia, Terzaghi Sergei ,   Geotechnical Lead with Arup Australia, Queensland, Australia, Nikraz Hamid ,   with Curtin University, Perth, Western Australia
Published: May 2020

74 unconfined compressive strength tests (UCS) were conducted to examine effect of the Sugarcane Bagasse ash (SCBA) on compressive behavior of clay stabilized with cement, mixed with various cane ash contents, when uncovered to magnesium sulphate (MgSO4 ). The analysis showed an enhancement in the range of 10% to 35% for control specimens and an enhancement of 60% to 180% for magnesium sulfate exposed specimens. Scanning electron microscopic (SEM) analysis also showed interaction of clay and cement particles with sulphate confirming the results in the laboratory.
An Assessment to Replace Conventional Mild Steel with Hybrid Nanocomposite Steel to Improve Mechanical and Anticorrosive Properties
Authors:   Assistant Professor, Department of Civil Engineering, Pillai HOC College of Engineering and Technology, Rasayani, Dist.Raigad, Maharashtra, India., Gujjar Sandeep.V. , Kulkarni Chaitali.R. ,   Civil Engineering from Pillai HOC College of Engineering and Technology, Rasayani, Dist.Raigad, Maharashtra, India., Khabale Shivani.G. ,   Civil Engineering, Pillai HOC College of Engineering and Technology, Rasayani, Dist.Raigad, Maharashtra, India., Mane Usha.N. ,   Civil Engineering, Pillai HOC College of Engineering and Technology, Rasayani, Dist.Raigad, Maharashtra, India, Hunashyal Anand. M. ,   Associate Professor, Department of Civil Engineering, Visvesvaraya Technological University, KLE Institute of Technology, Hubballi, Karnataka, India.
Published: May 2020

Multi Walled Carbon nanotube’s (MWCNT’s) are tiny tube’s made of carbon atoms with a few nanometers in diameters and several microns in length. After Iijima's discovery in 1991, regarding the form of carbon atoms, a great deal of interest was drawn to utilize of MWCNTs outstanding chemical and physical properties such as high Young’s tube, tensile strength, excellent thermal and electrical conductiveness. Recently, MWCNT’s have been used in various fields, due to high chemical, thermal and mechanical properties. In the field of composite structures in which MWCNT’s are not only included in a matrix as an insulation but also to obtain other chemical and physical properties like corrosion resistance, mechanical properties and electrical conductivity. Multi walled carbon nanotube’s along with other nanoparticle’s such as grapheme oxide, zinc oxide, silicon oxide and cerium oxide nano particles which have been proven to have better mechanical and anticorrosion properties incorporated independently with MWCNT’s to develop hybrid nanocomposite’s offering a new composite material generation. Nanostructured composites enhance their sensitivity and efficiency when used in corrosive environment. In this research study an attempt is made to introduce new hybrid nanocomposite steels which can have higher mechanical and anticorrosive properties.
Face Recognition based on Convolutional Neural Network
Authors:   Dept. Of ECE, PVP Siddhartha Institute of Technology, Kanuru, Vijayawada, India, Borra Surya Prasada Rao , Pradeep N. V. S. S. ,   Dept. Of ECE, PVP Siddhartha Institute of Technology, Kanuru, Vijayawada, India., Raju N. T. S. ,   Dept. Of ECE, PVP Siddhartha Institute of Technology, Kanuru, Vijayawada, India., Vineel S. ,   Dept. Of ECE, PVP Siddhartha Institute of Technology, Kanuru, Vijayawada, India., Karteek V. ,   Dept. Of ECE, PVP Siddhartha Institute of Technology, Kanuru, Vijayawada, India.
Published: May 2020

Recognition holds great significance to give biometric authentications that are utilized in various applications particularly in attendance and security. A gathered database of the subjects is converted applying image processing methods to make this task. This paper suggests a cascade object detector based face detection and convolutional neural network alexnet based face recognition that can recognize the faces. The techniques used for face recognition are machine learning-based methods because of their great precision as associated with different methods. Face detection is the initial level before face recognition that is done utilizing a cascade object detector classifier. Face recognition is performed utilizing Deep Learning's sub-field that is Convolutional Neural Network (CNN). It is a multi-layer network which is used to train the network, to perform a particular task using classification. Check learning of a trained CNN model that is AlexNet is used for face recognition.
Drowsiness Detection to Prevent Accidents
Authors:   CSE department, GITAM Bengaluru, Bengaluru, India., Sangameshwar  , V Dharani ,   CSE department, GITAM Bengaluru, Bengaluru, India., M Anirudh Reddy ,   CSE department, GITAM Bengaluru, Bengaluru, India., Jaswanthi Gotlluri ,   CSE department, GITAM Bengaluru, Bengaluru, India.
Published: May 2020

In the current era, 60% of the accidents occur due to drowsiness. Drowsiness mainly occurs during early morning and during night times. This kind of road accident can cause a lot of harm to other people and government roads and other properties. These accidents finally lead to high injuries and death. To prevent this kind of accident and to save the lives of people, a lot of research is still going on.There are many kinds of methods to prevent this. But, everyone can't afford it or adjust to the systems environment. Though there are many systems none is able to provide accurate action, speed, sound, and no failure. In this paper, we designed the system in such a way that drivers won't get distracted, it is affordable, easy to fit in car environment and accurate results. In our proposed system when drivers feel dizzy and when he/she closes their eyes a huge beep sound will be produced by using text speech. We do all this with the latest technology of image processing under iot. We use raspberry pi which helps in producing accurate results. A high range of IR cameras will be set up in front of the driver, to monitor drivers facial expression and to calculate the eye ration. As mentioned drowsiness occurs during dusk and dawn IR camera helps in monitoring the face during even at darkness. This system is highly affordable, easy to access, easy implementation and accurate results.
Strength Properties of Concrete with M-Sand as Fine Aggregate Incorporating with Acrylic Fiber
Authors:   Professor, Department of Civil Engineering, Vivekanandha College of Technology for Women, Tiruchengode, India., Devi M. , Rubini S. Shyamala ,   UG Student, Department of Civil Engineering, Vivekanandha College of Technology for Women, Tiruchengode, India., Soundarya G. ,   UG Student, Department of Civil Engineering, Vivekanandha College of Technology for Women, Tiruchengode, India., Srimegala M. ,   UG Student, Department of Civil Engineering, Vivekanandha College of Technology for Women, Tiruchengode, India., Tharageshwari M. ,   UG Student, Department of Civil Engineering, Vivekanandha College of Technology for Women, Tiruchengode, India.
Published: May 2020

The river sand is the natural sort of fine aggregate material which is employed within the concrete and mortar. It’s usually obtained from the river bed and mining has disastrous environment consequences. Rather than the river sand we are using M-sand as fine aggregate within the concrete. The event of acrylic concrete marks a crucial milestone in improving the merchandise quality and efficiency of the concrete. Usage of acrylic within the concrete will increase the strength and durability of the concrete. It enhances the performance of the concrete and increase energy absorption compared with plain concrete. Within the present work we are getting to analysis the strength properties of fiber reinforced M-sand concrete like compressive strength, flexural strength, split tensile strength, and bond strength.
An Instructive Flow Chart for Optimising the Electrical Cable Sizing Design Procedure
Authors:   Department of Electrical Engineering, Midkent College, Kent – United Kingdom, Al-Mahdawi Emad
Published: May 2020

In this paper, the analysis is focused on the methodology of installation design and cable sizing assessment. Cable overheating leads to melting of the insulation, resulting in exposed conductors and short circuits or electric shock, and possibly fire. Therefore, reliable power network, supply and operation have gained an increasing importance for the modern world. Cabling in a system is the means by which the source of energy is distributed to load. The size of the cable is directly proportion to the size of the load. Selecting a small size cable for a load could lead to overload and a catastrophic failure. Hence the correct selection procedure for the cable is of critical importance for both functionality and safety. This paper is addressed to electrical installation design engineers, learners and programmers with an interest in the optimisation of the cabling design by following the Instructive Cable Sizing Flow Chart (ICSFC). The proposed ICSFC, attached in Appendix A in this article, is considered a phase-gate technique planned and designed to get better results with less effort. Due to the fact that every installation is different, this paper aims to show the major principles and decisions involved in cable sizing as well as giving a prescriptive step-by-step flow chart to do the job precisely.
Enhancement of Night Time Video using Dark Channel Prior IP Accelerator
Authors:   ECE, Parul University, Vadodara, India., Nambinina Rakotojaona , Suthar Haresh ,   ECE, Parul University, Vadodara, India., Parmar Yogesh ,   ECE, Parul University, Vadodara, India, Valderrama C. ,   Microelectronics, University of Mons, Mons, Belgium
Published: May 2020

The enhancement of night-time video using Dark Channel Prior IP accelerator is proposed in this paper. Night time video processing is difficult due to low brightness, low contrast and high noise in the video. The above problems affect the accuracy and may results in failures of object detection in night time video. Dark Channel Prior (DCP) filter is used to improve the visibility, brightness and contrast of the video at night time. Processing speed is challenging task on real time application of DCP algorithm for night time video enhancement. Hence, DCP algorithm is implemented on FPGA (ALVEO Board) to increase the speed of video processing.
FPGA Hardware Co Simulation of Image Encryption using Hybrid Chaotic Maps Based Stream Cipher
Authors:   Electrical Engineering Department, Mustansiriyah University, Baghdad, Iraq, Hasan Fadhil Sahib , Saffo Maryam Amer ,   Computer Engineering Department, Al-Farabi University College, Baghdad, Iraq.
Published: May 2020

In This paper, new model of image encryption is designed. This model using stream cipher based on finite precision chaotic maps. The model designed in efficient way by using Xilinx System Generator (XSG). Pseudo Random Bit Generator (PRBG) depends on chaotic maps is proposed to design Fixed Point Hybrid Chaotic Map-PRBG (FPHYBCM-PRBG). National Institute of Standards and Technology (NIST) randomness measures tested the randomness of the proposed FPHYBCM-PRBG system. The security analysis, such as histogram, correlation coefficient, information entropy, differential attack (NPCR and UACI) are used to analyze the proposed system. Also, FPGA Hardware Co-Simulation over Xilinx SP605 XC6SLX45T provided to test the reality of image encryption system. The results show that FPHYBCM-PRBG is suitable for image encryption based on stream cipher and outperform some encryption algorithms in sufficient way to enhance the security and robust against brute force attack with low maximum frequency and throughput.
A Bibliometric Analysis of Two Decades of Global Research on Organizational Ambidexterity using the Scopus Database
Authors:   Azman Hashim International Business School / NUST Business School, Universiti Teknologi Malaysia (UTM) / National University of Sciences and Technology (NUST), Johor Bahru/Islamabad, Malaysia Pakistan, Amjad Asad , Nor Khalil Md ,   Azman Hashim International Business School, Universiti Teknologi Malaysia (UTM), Johor Bahru, Malaysia.
Published: May 2020

Modern organizations face dynamism and due to which come across various performance challenges. Ambidexterity, which is the organizational balance among exploration and exploitation related activities, has gained significant attention in recent times on a global scale and is applicable in multiple domains. To advance the organizational ambidexterity understanding in an integrated and holistic manner, the current bibliometric analysis evaluates the globally published research conducted on organizational ambidexterity incorporating varied expressions. Using the Scopus database, the current research accumulated 282 journal articles from 1996 until 2018. The analysis of this research highlights, organizational ambidexterity research publications experienced a considerable upward momentum since year 2014 and onwards, with more than 40 papers per annum between 2015-2018. Top contributing institutions in organizational ambidexterity domain come from the United States, the United Kingdom, China, Spain, and Italy. Moreover, top-cited papers are from authors in the United States, the United Kingdom, and Netherlands. Most importantly, VOS viewer software is used to analyze co-authorship, author keyword co-occurrences, and network strength. The United States and the United Kingdom have the strongest link strength, followed by Canada, China, and South Korea, and Norway.
Quality Assessment of Sandcrete Blocks Produced in Kano Municipal Local Government, Kano State, Nigeria
Authors:   Assistant Professor, Civil Engineering Department, Mewar University, Chittorgarh, India, Chauhan Govind Singh , Farouk Mahmoud Murtala ,   Lecturer II, Civil Engineering Department, Kano University of Science and Technology, Wudil, kano Nigeria, Musa Auwal Alhassan ,   Post Graduate Scholar Civil Engineering Department, Mewar University, Chittorgarh, India, Garba Lasmar ,   Post Graduate Scholar Civil Engineering Department, Mewar University, Chittorgarh, India
Published: May 2020

This research entails the assessment of sandcrete blocks quality produced in Kano municipal Local govt. Kano state of Nigeria. six sandcrete blocks were selected from eight commercial block industries from the study area, the result obtained shows that the aggregates used satisfied the overall grading requirement specified in BS 882, 1992.The mix ratio adopted by the industries ranges from 1:12 to 1:14 which is against the standard of 1:6 specified in NIS 87:2004. water absorption was from 14.67% to 18.10% which reveals that all samples were above the maximum specified 12% as stated by the (NIS). The result of compressive strength of blocks tested ranges0.2869N/mm2 to 0.4884N/mm2 , its average for the eight factories selected was 0.432N/mm2 . Which reveals that all samples were below the maximum specified value of 2.8N/mm2 , as stated by (NIS 87: 2000). In compliances with the provisions prescribed by the codes/agencies. the manufacturers were recommended to improve on their mixing process, material selection and curing processes in order to produce sandcrete blocks of high quality to conform with the standard.
A Novel Framework for Speech Based Detection of Schizophrenia using Machine Learning
Authors:   Asst. Professor at SRM Institute of Science and Technology, Ramapuram, Department of Computer Science and Engineering,, B Judy Flavia
Published: May 2020

Schizophrenia is a severe mental disorder that affects a person’s thoughts, feelings and behavior. The disorder thus has serious impact on a person’s personal and professional life. Traditionally the detection of schizophrenia is so far done with Electro Encephalography and MRI scans which make use of probabilistic methods. These methods are only useful when certain symptoms of the disorder are found. For early detection, a good method would be to use speech-based document using Conditional Random Fields algorithm. This method will use tagging of various speech components
Machine Learning Techniques for Better Data Driven Decisions Revisited
Authors:   Research Scholar, Department of Computer Science & Applications, Maharshi Dayanand University, Rohtak (Haryana), India., Verma Tarika , Gill Nasib S. ,   Professor, Department of Computer Science & Applications, Maharshi Dayanand University, Rohtak (Haryana), India.
Published: May 2020

The main goal of machine learning is to accurately predict the decisions to the problems without human expert intervention. These decisions depend upon patterns found and facts learnt during training tenure. However, prior incorporation of human knowledge is necessary for better prediction of the test data. The main aim is to make machines self-reliant for decision making. Providing machine with this vision makes it useful in every modern field. This makes the stepping stone to make computers behave as the humans do. Enhancing its speed and accuracy are the next step in this field. This paper presents a stock of techniques used to train the machines to respond to patterns present in the data sets so that useful information may be extracted for its potential use.
Optimization of Flat Plate Solar Dryer using Taguchi Method
Authors:   Associate Professor, Vaish College of Engineering, Rohtak, India, Bansal Ankit , Gupta Umesh ,   Associate Professor, Vaish College of Engineering, Rohtak, India, Singh Sandeep ,   Asstt. Professor, Vaish College of Engineering, Rohtak, India
Published: May 2020

Solar form of energy is the most broadly used renewable forms around the globe. The present paper includes the utilization of solar energy in drying food item using a flat plate solar dryer. The experiment is carried with every hour interval and the readings are noted down. The study comprises of timing from morning 9 am to evening 6pm. Around 10 kg of chilli is utilized for the drying purpose. The outcome results were optimized using Taguchi method to identify the optimum configurations for the drying effect. The result shows that, Ambient temperature as 35.5 OC value of air velocity Ambient Relative Humidity as 67.4(%) and Exhaust temperature as 54.2 OC after optimization. Also, the maximum intensity of solar rays are obtained during the daytime at 1 pm.