bluuebunny/crossref_metadata_2025 huggingface dataset:
Resource Optimized Security Coding In Light Weight Security Protocol
Authors:   Dept of Electronics and Telematics Engineering, G.Narayanamma Institute of Technology and Science, JNTUH, Hyderabad, India., Tappari Sunitha , Sridevi K. ,   Associate Professor, Dept. Of ECE GITAM Institute of Technology, GITAM University, Vishakapatnam, India.
Published: August 2019

The overhead for resource utilization in the round coding operation of security coding is large. Though lightweight protocols are used as a measure of provisioning, higher level of security in many real time applications, the need of key scheduling, key generation and s-box operation leads to large resource utilization. This resource consumption intern leads to large power consumption and area overhead. To minimize the resource utilization in this paper, a new resource optimization technique following resource reutilization scheme is proposed. The resource utilization is synchronized by the delay term instruction application in cryptography coding.
Secured Service Chains Tuned Resource Sharing using Nsdp
Authors:   School of Information Technology and Engineering ,Vellore Intitute of Technology ,Vellore, Anand R Dr.Vijay , J Dr. Prabhu ,   School of Information Technology and Engineering ,Vellore Intitute of Technology ,Vellore, Selvan T Dr. Muthamil ,   School of Information Technology and Engineering ,Vellore Intitute of Technology ,Vellore, P Dr. Thanapal ,   School of Information Technology and Engineering ,Vellore Intitute of Technology ,Vellore, S.S Dr. Manivannan ,   School of Information Technology and Engineering ,Vellore Intitute of Technology ,Vellore
Published: August 2019

In the current network area, cloud service providers offer infinite storage space and computing power for users to manage their data in the cloud. To enjoy these services, individuals or organizations store their private data on cloud servers. However, in the case of security breaches, users’ private data stored in the cloud are no longer safer. When users outsource their data to cloud servers, they expect complete privacy of their data stored in the cloud storage. To enjoy these services, individuals or organizations store their private data on cloud servers. The semantic-based keyword search over encrypted cloud data becomes of paramount importance. Protecting the privacy and data of users has remained a very crucial problem for cloud servers Additionally, the existing approaches only process them as single words, the flexibility of the encryption policy and the description of users’ rights, and it changes from a one-one to one-many scenario during the encryption and decryption phases, calculation method to measure the semantic similarity between compound concepts. Keyword has been widely used in many scenarios, particularly in cloud computing. In this Project in the proposed scheme we use the trusted authority to generate the trapdoor .The generated trapdoor will be send to the user's e-mail ID, the user will search.
Surface Plate Based Method for Quick Check CMM Accuracy Measurement
Authors:   Mechanical Engineering Department, D Y Patil College of Engineering, Akurdi, Pune, Maharashtra, India, Kulkarni Dr Vinay A , Dhanvijay Dr Maneekumar ,   Production and Industrial Management Department, College of Engineering, Pune, Maharashtra, India., Momin Mr A Y ,   Sr Manager CSD, Accurate Gauging and Instruments Pvt, Ltd, Pune, Maharashtra, India
Published: August 2019

Coordinate Measuring Machine is now mandatory in Industries for not only dimensional measurement but also form measurement of jobs. However, due to changes in temperature in Indian Scenario, Rigidity of guide ways, frictional bearings, it is always susceptible for error development. These errors if not addressed, integrates into dimensional measurement of workpart, which remains induced due to measurement system error. Best position of job in entire volume of CMM affects the accuracy of measurand and is the deciding factor in CMM measurement. An attempt is made in this paper, to establish low cost surface plate based method for quick check CMM accuracy measurement by operator only without requirement of Laser CMM expert. The outcome of method depicts closeness within 3 μm with laser interferometer. This saves at least two lakhs rupees per three months and the total saving will be 6 lakhs rupees, annually.
Effect of Epoxy Glass Fiber Reinforcement on Dynamic Characteristics of Sheet Metal Structure
Authors:   Mechanical (Design) Department, Vishwakarma Institute of Technology, Pune, India., Joshi Sankalp.U. , Kulkarni Nishant.S. ,   Mechanical Department, Vishwakarma Institute of Technology, Pune, India.
Published: August 2019

Stamped sheets are widely used in automotive and industrial structures. Their stiffness and strength depends on various shapes in which they are stamped (trapezoidal, semi-circular). Epoxy glass fiber is widely used for replacing the actual components or by reinforcement. Reinforcement of this sheet metal structures with epoxy glass fiber will adhere its strength characteristics and also help in stiffing the structure. In order to use same shape of structure with high stiffness reinforcement of epoxy glass fiber can be used on that structure. Vibration of plates greatly depends upon various characteristics like aspect ratio, boundary condition and fiber orientation. The developed shape of structure after sheet metal processing and the thickness of the structure also contributes to its stiffness. Present study involves vibration analysis based on the geometry of the stamped sheets. Fixed – fixed boundary conditions are taking into the consideration, because Stamped sheets generally fails at fastened locations or welded locations. Modal analysis is performed to study dynamic characteristics of reinforced structures. In order to validate the experimental results Comparative analysis is carried out by using finite element analysis. Conclusions are drawn and suitable future scope is suggested.
Node Failure Handling Through Localized Relocation over Wireless Sensor Network
Authors:   Research Scholar, Department of Computer Science & Engineering, Maharishi Markandeshwar (Deemed to be University), Mullana, Ambala, India., Kaur Jaspreet , Bindal Dr. Amit ,   Assoc. Professor, Department of Computer Science & Engineering, Maharishi Markandeshwar (Deemed to be University), Mullana, Ambala .India,
Published: August 2019

Communication over WSN under environmental hazards is a major issue. These constraints may have an impact over the behavior of the sensors/routing protocols and resource consumption; thus, may lead to the node failure condition i.e. software/hardware failure, security threats, excessive energy consumption, etc. It is necessary to analyze the impact of failure over network performance. In this paper, a node failure management solution is proposed, and its performance is analyzed using different protocols i.e. LEACH, AODV, and DSDV.
Method of Real Options in Managing Investment Projects
Authors:   Department of Regional Studies and Tourism, Kyiv National Economic University named after Vadym Hetman, Kyiv, Ukraine, Danylyshyn Bohdan , Bondarenko Svitlana ,   Department of Economic Management of Natural Resources, Institute of Market Problems and Economic-Ecological Research of the NAS of Ukraine, Odessa, Ukraine, Malanchuk Marina ,   Department of Economics and Financial Support, National University of Defense of Ukraine named after Ivan Chernyakhovsky, Kyiv, Ukraine, Kucherenko Kateryna ,   Department of Information Activity and Media Communications, Odessa National Polytechnic University, Odessa, Ukraine, Pylypiv Vitalii ,   Department of Regional Studies and Tourism, Kyiv National Economic University, Kyiv, Ukraine, Usachenko Oleksandr ,   Legislation Institute of The Verkhovna Rada of Ukraine, Assistant Commander of the battalion for legal work of the military unit of the Armed Forces of Ukraine.
Published: August 2019

A key factor for the success of the project management is the availability of a clear pre-defined plan, minimizing risks and deviations from the plan, efficient management of changes (as opposed to process, functional management, service level management). Using the binomial method to estimate the value of real options, they proceed from the assumption that the number of links is discrete and known in advance. The logic of this approach requires that their number corresponding to the frequency of making the most significant decisions for the project. The nodes of the lattice should be those moments in time in which strategic decisions are made on reducing, developing, switching business, etc. In general, the use of the real options method extends the tools to justify decisions in managing investment projects.
Mirafs - Multi Image Resoulution Quality Acuminate Fusing System
Authors:   Assistant Professor, Department of Computer Science and Engineering, Karunya Institute of Technology and Sciences. Coimbatore., S John Livingston. , Raimond Kumudha ,   Professor, Department of Computer Science and Engineering, Karunya Institute of Technology and Sciences. Coimbatore.
Published: August 2019

In Remote sensing applications, due to the increase in spatial and spectral resolutions, the time complexity became a vital aspect in order to process and deliver the solutions in a timely fashion. Remote sensors which acquire high-resolution image data often misses geometrical alignments and spectral stabilizations because of its dynamic routines, which results in crucial consideration such as loss of information and degraded quality in a single region of interest. This ignited us in finding the need for fusion of data to obtain quality products in remote sensing domain. Leaving the noise in source data compromises the overall quality of the solution. In proposed method to reduce the negative impacts of noise on the image skin, we use the confined filter function which held back the noise while reconstructing the image. In some cases, when image fusion is carried out using the least significant spectral band values will also lead to degraded output; in such condition, the Proposed method chooses high informative bands by careful attention to spectral values in each band. The anticipated outcomes through these methods are significant reduction in computational complexity and noise insensitivity. The fusion process must be verified to validate image sets for smart combinations of bands. The image pixels were considered as components to organize the fused spectral quality. The proposed HSI based MIRAFS method is compared with state of art fusion models and the results shows prominent improvement in the quality of fused images when we chose high spectral values. In MIRAFS, the quality of the resultant fused image has also been checked whether it has minimized spectral degradation with the amplified resolution by conserving spectral information as much as possible.
A Simplified Interval Type-2 Fuzzy Implementation for Financial Credit Decision
Authors:   Software Technology Parks of India, Ministry of Electronics and IT, Govt. of India, Lucknow, India. 2. Dr. APJ Abdul Kalam Technical University, Lucknow, India, Dwivedi Praveen Kumar , Tripathi Surya Prakash ,   Department of Computer Science and Engineering, Institute of Engineering and Technology, Lucknow, India.
Published: August 2019

Credit assessment of potential customers with the help of their previous history of credit transaction is one of the main issues in financial credit approval system. The credit rating of the customer shows that the financial stability of the individual or firm. Based on financial stability, the bankers can approve their credit grant. The basic factors that affect the credit rating of the customer is history of payment, the unsettled amount, period of credit history, types of credit and many other factors. The creditworthiness of the customer is assessing based on result obtained from these factors. The prime objective of the credit approval system is to avoid loss of amount that may be associated with an incorrect decision. To avoid such type of decisions, it requires designing of credit rating models for credit and their risk analysis. This type of models benefited the bankers to approve the credit grant or not. The bank credit system is a binary classification system that classifies the customer either the good or bad based on their previous credit history. In this context, several fuzzy classification systems have been designed to classify the customer. In this article, we have designed a simplified interval type-2 fuzzy system for financial credit decision using two different membership function based approaches and compared the performance in terms of accuracy of classification.
Assessment of Plan Form Development using Protective Materials around an Island
Authors:   Research Scholar, Department of Civil Engineering, National Institute of Technology Durgapur, Durgapur, West Bengal, India, Ghosh Snigdhadip , Dwivedi Dr. Vijay Kumar ,   Professor, Department of Civil Engineering, National Institute of Technology Durgapur, Durgapur, West Bengal, India
Published: August 2019

As per recent survey of different survey portals, it is nearly proved that the most dangerous threat of nature is soil erosion and changes of plan form development in river topography. There are many reasons behind this degradation such as difference in climate, changes in direction of wind and water, man made changes of river path etc. In this project, we tried to locate the changes in plan form development due to erosion and deposition of soil after using protective materials. So this project was carried out to study the detachment, transportation and deposition of cohesion less uniform and non-uniform sediments as well as run-off around an island made of silty clay material having protection material as gravel and stone.
A Design Pattern Structure Specification to Extract Statistical Report
Authors:   Department of Computer Science and Engineering, Karunya Institute of Technology, Coimbatore, India., M Mythily , Nambiar Radhika ,   Department of Computer Science and Engineering, Karunya Institute of Technology, Coimbatore, India., Prabhvathy A Kethsy ,   Department of Computer Science and Engineering, Karunya Institute of Technology, Coimbatore, India., Joseph Iwin Thanakuamr ,   Department of Computer Science and Engineering, Karunya Institute of Technology, Coimbatore, India., Kanmani S Deepa ,   Department of Computer Science and Engineering, Karunya Institute of Technology, Coimbatore, India.
Published: August 2019

Design patterns are ecological abstract documents which offer acceptable solutions for the continual issues. It allows developers to communicate in a well-known way with the system design. This paper reviewing set of research articles to know the current trend on design pattern’s applications. This research also introduces the structure of a new pattern that acts as data analyzer of any software given as input. This pattern acts as centralized data storage of concrete class objects. The instances are analyzed by various functionalities of analyzer in-order to derive results. It helps to solve some of the day to day problems faced by the software designer. This pattern provides services for a group of concrete members to design set of functionalities in order to support data analytics. The structure and its applicability on software are examined, using a case study.
Acoustic Signal Analysis and Identification
Authors:   German Corporation for International Cooperation(GIZ), Germany, Wiedecke Bernd , Narzillo Mamatov ,   Scientific and Innovation Center of Information and Communication Technologies at TUIT named after Al-Kharezmi, Tashkent, Uzbekistan,, Payazov Mirabbos ,   Scientific and Innovation Center of Information and Communication Technologies at TUIT named after Al-Kharezmi, Tashkent, Uzbekistan, Abdurashid Samijonov ,   Bauman Moscow State Technical University, Russia Federation
Published: August 2019

Speech in one of most important things in our life. Creating community between human and machine using speech is one of critical problems. Signal processing helps to solve the basic stages of various areas of this problem. Working in the field of speech-audio signals processing is conducted very actively. Article describes examples of analysis and speech-audio signals one of the methods processing.
Karakalpak Speech Recognition with CMU Sphinx
Authors:   Scientific and Innovation Center of Information and Communication Technologies at TUIT named after Al-Kharezmi, Tashkent, Uzbekistan, Narzillo Mamatov , Abdurashid Samijonov ,   Bauman Moscow State Technical University, Russia Federation, Parakhat Nurimov ,   Scientific and Innovation Center of Information and Communication Technologies at TUIT named after Al-Kharezmi, Tashkent, Uzbekistan, Nilufar Niyozmatova ,   Scientific and Innovation Center of Information and Communication Technologies at TUIT named after Al-Kharezmi, Tashkent, Uzbekistan
Published: August 2019

One of the main problems of speech recognition systems is the diversity of natural languages. Most of the existing systems can recognize the verbal information of some natural languages. But speech recognition on many languages is not introduced into these systems due to objective or subjective reasons. Including Uzbek, Tajik, Karakalpak and other languages.
Multiwall Carbon Nanotube Made Antenna At Terahertz Frequency Range
Authors:   Physics Department, Amity University Patna/ Amity School of Engineering & Technology, Patna, India., Kumar Niranjan , Sambhav Saurabh ,   Electronics Department, Amity University Patna/ Amity School of Engineering & Technology, Patna, India., Kumar Prakash ,   Electical Department, Amity University Patna/ Amity School of Engineering & Technology, Patna, India., Somay Srest ,   Metallurgy Department, NIT Waramgal, Andhra Pradesh, India.
Published: August 2019

Earlier the propagation capability of BCNTs (bunch carbon nanotubes) made antenna was studied in terahertz frequency vicinity and its fulfilments were correlated with conventionally used thin gold film antenna. Those experiments were performed on the half-wave ribbon aerial of BCNTs and then on thin gold foil antennas which were resonated from 1THz to 50THz frequency range. To calculate its radiation efficiency they use both Moment of the moment (MOM) and potential integral equation (MPIE) technique. The numerical simulated result tells us that the radiation capability of a BNCTs of density 104 (CNTs/um) antenna has typically become smaller than the capability of gold foil antenna. We have experimented with replacing BCNT by MWCNT made antenna and studied its result on the same frequency range. After examination, we found that the interband transitions hinder big problems in MWCNT. It also hinders the propagation of guided wave and gives spoiling effect basically in the achievement of a fixed dimension MWCNT when we used it as an antenna
Comprehensive Analysis of Machine Learning Algorithms for Face Detection
Authors:   ECE, GMR Institution of Technology,Rajam, INDIA., Bhavana  , Naveen V. Jagan ,   ECE, GMR Institution of Technology, INDIA., Kishore K. Krishna ,   ECE, GMR Institution of Technology,Rajam, INDIA
Published: August 2019

Face detection is the most common application used in security system, cameras, fun face filter apps, etc. many techniques and algorithms are introduced by developers for face detection in real time but all techniques or algorithms does not give best results while applying on all ranges of processors. In this, three machine learning algorithms i.e. Histogram of Oriented Gradient, Haar cascade classifier and deep neural networks implemented on different processors for verifying processing speed of each algorithm on the different processor.
IoT Implementation and Management for Smart Farming
Authors:   Department of Computer Science and Engineering, Lovely Professional University, Phagwara, Punjab, India., Nagaraju M , Chawla Dr. Priyanka ,   Department of Computer Science and Engineering, Lovely Professional University, Phagwara, Punjab, India.
Published: August 2019

Precision agriculture can enable the vision of smart agriculture, improves the crop productivity and increases profitability of yields. Utilization of water is also an important criterion for a good agriculture and high production. The new dimension of smart farming in agriculture is Internet of Things. The IoT is a best solution for smart agriculture due to the use of interoperable, pervasive, scalable and open technologies and gained momentum in the field of agriculture. The advanced growth in IoT technologies even made the dream come true with the connectivity reached to rural areas. The use of highly accurate IoT sensors can measure the environmental context of farms and helps in improving the accuracy of precision agriculture. This paper reviews the various applications of IoT motivated by a purpose to identify various areas with latest trends, architecture frameworks. Selected papers were clustered based on various domain and subdomains corresponding to the usage of sensors, actuators, communication technologies, energy controls, storage solutions, data analysis for decision making and visualization to the farmer through web applications.
An Impact of Operating and Non-Operating Expenses on Financial Viability in Jet Airways
Authors:   Associate Professor2, Bomma Institute of Technology and Science2, Khammam2, Telangana State, Shankar Dr.M. , GL. Dr.Meena ,   Professor & HOD, Department of MBA, Golden Valley Integrated Campus, Madanapalli, Chittoor, Mouneswari V. ,   Research Scholar, JNTUA – Anantapuramu, Assistant Professor, Annamacharya Institute of Technology & Sciences, YSR Kadapa,
Published: August 2019

‘Crisis’ – the result of insolvency and bankruptcy situation for a firm or nation. The reasons for a crisis of a firm are internal and external environmental facts to which the firm couldnot understand thoroughly. During the crisis the shareholders blame the firm’s policies, procedures and administrative strategies. The banks show reluctance not only to the firms but also to their linkages also. In the present paper a detailed study has been carried out about the crisis in Jet Airways. For the purpose descriptive study has been chosen to know the root cause which damaged the harmonic functioning of the company. The results have disclosing that pre-emptive actions must be taken by the firms to absorb corporate government policies perfectly. It is the primary responsibility in front of the Governments to involve in internal activities of the corporate firms and the policies should be made by makers in such a way only.
A Hybrid Intelligent Decision-Making System for Navigation with Optimized Performance
Authors:   Research Scholar, IKG Punjab Technical University, Jalandhar, Punjab India., Khyati  , Sohal Dr. J.S. ,   IKG Punjab Technical University, Jalandhar, Punjab, India.
Published: August 2019

A moving vehicle comes across some permanent components like roads and some variable components like other vehicles etc. Keeping these components at forefront, an automated vehicle needs to take astute and speedy decisions about its next move. In this research paper, we have proposed a hybrid model based on two soft computing techniques that is Neural Networks and Fuzzy Systems to optimize the performance of Navigation Systems in terms of speed and accuracy. The proposed model is an extension of authors previous work [ 1] in which the Best Feature Selection model was created to extract the most paramount features of navigation images. In that, it was observed that extracted feature set had direct impact on speed and accuracy of the working model as no resources were required to be spent on impertinent features. Our hybrid model performs three steps afore taking final decision that is either to move or stop the automated vehicle. The first step involves passing the outputs of Best Feature Selection Model and PCA as inputs through Convolutional Neural Network (CNN) deep learning model and obtaining the response in form of move or stop. Principal Component Analysis (PCA) technique was performed on the extracted feature set to improve our knowledge about input feature set by procreating new features. In our previous work [2], it was justified that Principal Component Analysis (PCA) when used in conjunction with Convolutional Neural Networks (CNN) yields better results as compared to standalone performance of PCA and CNN. It was withal analysed that PCA-CNN is going to give nearly same precision either we give ten percent training or we give high order training. The second step involves using one other variant of Neural Networks that is Re-current Neural Networks (RNN) for ascertaining out the bestest feature from all eleven features of Best Feature Selection Model. The factor with least Mean Square Error is used to calculate the decision in form of move or stop. The last step involves passing the outputs of CNN model and RNN model through Fuzzy Module. Here the Fuzzy rules are generated to take final decision for moving vehicle. The accuracy of this hybrid model came out be 89.28 percent which is far better than individual accuracies that is 72 percent and 60 percent of CNN model and RNN model respectively
Hierarchal Trust Certificate Distribution using Distributed CA in MANET
Authors:   Associate Professor, Department of Computer Science & Engineering, MVJ College of Engineering, Bangalore, India,, Kumar Dr.V.Vinoth , Arvind Dr.K.S ,   Associate Professor, Department of Computer Science & Engineering, MVJ College of Engineering, Bangalore, India,, Umamaheswaran Dr.S. ,   Associate Professor, Department of Computer Science & Engineering, MVJ College of Engineering, Bangalore, India,, Suganya K.S. ,   Assistant Professor, Department of Information Technology, Bannari Amman Institute of Technology, India,
Published: August 2019

In the growing network generation of wireless systems, there is a necessity usage of deploying wireless network for usage of individual mobile users. The considerable examples are the deploying MANET in emergency situations like disaster, military surveillance, tactical networks, data networks etc. This network situation doesn’t work on centralized and adopt the rely operations without access points. All these application areas adopts infrastructure less environment which facilitates highly possible network attacks. Identifying such a security breach happening in network would be a Herculean task. This research identifies trusted parties will involve in message communication and provides privacy of the message being sent to destination using cryptographic mechanisms. When two or more networks involve in data communication at that situation making the authentication with the help of certification distribution method would be a difficult task. Hence the nodes are dropping the packet or unauthorized parties do the denial of service so that delay will increase and throughput is reduced. In order to overcome this issue, the cross certification method is implemented with the distribution of certificate using hierarchal trust. This method solves the issue of authentication problem and coordinates for all the nodes to communicate to each other as a trusted party. When two ad hoc networks merge, we need a mechanisms for nodes originated from different networks to certify and authenticate each other. Finally the simulation was conducted with certain parameters and achieved better throughput and reduced delay of data transfer.
Prediction and Optimization of Weld Bead Geometry
Authors:   Assistant Professor in Mechanical Engineering Department at Muzaffarpur Institute of Technology., Yadav Jigesh , Paswan Mani Kant ,   Professor at National Institute of Technology Jamshedpur.
Published: August 2019

Bead geometry plays very important role in predicting the quality of weld as cooling rate of the weld depends on the height and bead width, also bead geometry determines it’s residual stresses and distortion. Weld bead geometries are outcomes of several welding parameters taken into consideration. If arc travel is high and arc power is kept low it will produce very low fusion. If electrode feed rate is kept higher width is also found to be on higher side which makes bead tto flat. Also, the parameters like current, voltage, arc travel rate, polarity affects weld bead geometry. Hence, this paper uses techniques like ANN, linear regression and curvilinear regression for predictions of weld bead geometry and their relations with different weld parameters.
New Robust MEWMA Control Chart for Monitoring Contaminated Data
Authors:   School of Quantitative Sciences, College of Arts and Sciences, Universiti Utara Malaysia, 06010 UUM Sintok, Malaysia., Jamaluddin Faridzah , Haji Ali Hazlina ,   School of Quantitative Sciences, College of Arts and Sciences, Universiti Utara Malaysia, 06010 UUM Sintok, Malaysia., Syed Yahaya Sharipah Soaad ,   School of Quantitative Sciences, College of Arts and Sciences, Universiti Utara Malaysia, 06010 UUM Sintok, Malaysia.
Published: August 2019

Multivariate Exponential Weighted Moving Average (MEWMA), E2 control chart is a popular multivariate control chart for monitoring the stability of time series data (non-random pattern). However, in this paper, we have shown that the existing MEWMA, E2 control chart is sensitive in contaminated data or in the presence of outliers. To address this problem, this paper proposed an alternative MEWMA E2 control chart using robust mean vector and covariance matrix instead of the classical mean vector and covariance matrix respectively. The classical mean vector in MEWMA E2 control chart is replaced by Winsorized Modified One-step M-estimator (WM) while the classical covariance matrix is replaced by the Winsorized covariance matrix. The proposed MEWMA E2 control chart known as robust MEWMA control chart, denoted as RE2 control chart. The control limit for the RE2 control chart was calculated based on simulated data. The performance of RE2 and existing MEWMA E2 control charts are based on the false alarm rate. The result revealed that the RE2 control chart is more effective in controlling false alarm rates as compared to the existing MEWMA, E2 control chart. The zinc-lead flotation data show that the RE2 performs better in application
An Optimized Hybrid Neural Network Model for Detecting Depression among Twitter Users
Authors:   CSE, M S Ramaiah Institute of Technology, Bangalore, India., Chandra Dhamini Poorna , Rajarajeswari Dr. S. ,   CSE, M S Ramaiah Institute of Technology, Bangalore, India.
Published: August 2019

The proposed work is to extensively evaluate if a user is depressed or not using his Tweets on Twitter. With the omni presence of social media, this method should help in identifying the depression of users. We propose an Optimized Hybrid Neural Network model to evaluate the user tweets on Twitter to analyze if a user is depressed or not. Where Neural Network is trained using Tweets to predict the polarity of Tweets. The Neural Network is trained in such a way that at any point when presented with a Tweet the model outputs the polarity associated with the Tweet. Also, a user-friendly GUI is presented to the user that loads the trained neural network in no time and can be used to analyze the users’ state of depression. The aim of this research work is to provide an algorithm to evaluate users’ sentiment on Twitter in a way better than all other existing techniques.
Using Natural Pozzolan, Cement and Lime for Stabilizing Soil in Earth Dams
Authors:   Institute for Hydropower and Renewable Energy, Hanoi, Vietnam, Nguyen Huu Nam , Tran Van Quan ,   University of Transport Technology, Hanoi, Vietnam,, Ngo Anh Quan ,   Hydraulic Construction Institute, Hanoi, Vietnam, Nguyen Quang Hung ,   Thuyloi University, Hanoi, Vietnam
Published: August 2019

The paper has focused on studying the ability of using natural pozzolan to combine lime and cement in process of stabilized soil, implementing experimental contents for on-site soil including: grain composition, plastic limit, plasticity index, mineral parts and other common mechanical properties, standard compaction. Followed by experiments for soil, cement and pozzolan stabilized soil mixtures, including standard compaction, compressive strength. A suitable model of physical experiments to simulate and prove lime, cement and pozzolan stabilized soil meets the criteria for making waterproofing materials for earth dams in the Central Highlands
Designing and Implementation of Free RTOS Multichannel Data Logger using Microcontroller
Authors:   Student, Department of Electrical and Instrumentation Engineering, Thapar Institute of Engineering and Technology, Patiala-147001, Punjab, India, Gazal  , Kamboj Sangeeta ,   Assistant Professor, Department of Electrical and Instrumentation Engineering, Thapar Institute of Engineering and Technology, Patiala-147001, Punjab, India
Published: August 2019

A data logger is an electronic device that records data over time or in relation to location either with a built in instrument or sensor. In the paper, a data logger is designed and developed using STM32F407 DISCOVERY Board. An code is developed and tested using STM32CUBE and Atollic True Studio softwares in the proposed work. GSM Module SIM900EI is interfaced with microcontroller to send voltage output values of all the sensors interfaced with it for cloud computation in the paper. The paper also demonstrate hardware implementation of the designed data logger. The proposed data logger can be used in the Automatic Weather Stations (AWS).
Malware Detection and Classification using Random Forest and Adaboost Algorithms
Authors:   Department of Computer Science, VISTAS, Chennai, India., Arunachalam Dr. A.S. , Sree S. Vaishnavi ,   Research Scholar, Department of Computer Science, VISTAS, Chennai, India., Dharmarajan Dr.K. ,   Department of Information Technology, VISTAS, Chennai, India.
Published: August 2019

The chance of malware within the Internet of Things (IoT) surroundings is increasing due to a loss of detectors. This paper proposes a way to are expecting the intrusion of malware the usage of state-of the-art gadget mastering algorithms which could discover malware faster and greater appropriately, as compared with the existing methods (this is, payload, port-based, and statistical techniques). Clever workplace surroundings was implemented to capture the drift of packet datasets, where malware and normal packets were captured, and eleven features have been extracted from them. Four gadget getting to know algorithms (random forest, a guide vector gadget, AdaBoost, and a Gaussian mixture version–primarily based naive Bayes classifier) were investigated to implement the automatic malware monitoring gadget. Random wooded area and AdaBoost have to separate the malware and normal flows flawlessly, due to their ensemble structures, which could classify unbalanced and noisy datasets.
Secure and Error-Free Data Storage on Cloud via Deniable CP-ABE Scheme
Authors:   Associate professor in VIT, Vellore., M Vanitha , Ramaiah Mangayarkarasi ,   Associate professor in the School of Information Technology and Engineering at VIT University, Vellore, India., Thaseen Dr. Sumaiya ,   has thirteen years of teaching and research experience in VIT University., Banu J. Saira ,   faculty at School of Computing Science and Engineering, VIT University, Vellore.
Published: August 2019

Cloud storage services are quickly increasing and more prevalent. CSP-cloud storage providers offer storage as a service to all the users. It is a paid facility that allows association to outsource their confidential data to be stored on remote servers. But, identity privacy and preserving data from an untrusted cloud is a difficult concern, because of the successive change of the members. CSP has to be secured from an illegitimate person who performs data corruption over cloud servers. Thus, there is a need to safeguard information from the individuals who don’t have access by establishing numerous cloud storage encryption plans. Every such plan implemented expects that distributed storage suppliers are protected and can't be hacked; however, practically speaking, a few powers will compel distributed storage suppliers to render client details and secret information on the cloud, in this manner inside and out bypassing stockpiling encryption plans. In this paper, a new scheme is introduced to protect user privacy by a deniable CP_ABE(Cloud Provider_ Attribute Based Encryption) scheme which implements a cloud storage encryption plan. Since coercers cannot specify whether privileged insights are valid or not, the CSP ensures privacy of the user.
Normalization of Behavioral Features in Autism Spectrum Disorder With Influencing Attributes
Authors:   Research Scholar, REVA University, Bangalore, India., Vijayalakshmi K. , Vinayakamurthy Dr. M. ,   Professor, REVA University, Bangalore, India., Dr. Anuradha  ,   PG Department, STC College, Pollachi, Tamilnadu. India.
Published: August 2019

The brain developmental disorder that affects both behavior and communication is autism spectrum disorder (ASD) considered and recognized as a major medical issue affects the increasing population approximately 0.5%– 0.6%. It is a highly heterogeneous neuro-developmental condition that has severe symptoms with various comorbid disorders. Applied Behavior Analysis involves various methods to understand the change in behavior through therapy. The goal is to identify and increase relevant behaviors which can help to diagnose attributes that affect learning. Data mining as the technology handles such medical grounds to predict by analyzing patterns in huge data sets. The outline of the proposed work is to find the relevant attributes from the dataset by normalizing and ranking the attributes. The CFS subset evaluator using various search methods like best first, greedy stepwise and exhaustive search are used to filter relevant feature from the dataset. The ultimate objective of this paper work is to examine the ASD applied behaviors with subject to normalization and ranking. Applying these to the feature selection methods would help for better understanding on various currently wide spread complex medical condition.
Optimal Design of Unequal Conductor Spacing In Grounding Grid by Modern Computational Intelligent Techniques
Authors:   EEE, Research Scholar of M.S. Engineering Bengaluru, India, M Soni , George Dr. Abraham ,   EEE, MVJ College of Engineering, Bengaluru, India
Published: August 2019

With uniform grid spacing current distribution among grid conductors is non-uniform; conductors towards the periphery carry more current and conductors towards the centre carry less current. Non- uniform grid spacing increases leakage current in the centre conductors while decreases in the fringe conductors bringing about uniform distribution of leakage current. This paper presents optimal design of unequal grid spacing in grounding grid design by two modern computational intelligent techniques: Particle Swarm Optimization technique and Bat Algorithm technique. Compression ratio is the method adapted in creating unequal grid conductor spacing, in which compression ratio C is varied from 0.1 to 1 to result in numerous unequal grid configurations. Modern intelligent techniques such as PSO and BAT algorithm are implemented to find the optimal value of compression ratio C so as to achieve one best unequal grid configuration among numerous feasible unequal grid configurations. Mat Lab software is developed for both PSO and BAT algorithm which are extremely adaptable to examine the unequal grid spacing. Optimal value of compression ratio C is obtained for different number of grid conductors along the x-axis and y-axis and unequal grid spacing is analysed through distinct graphs.
ISSN: 2278-3075 (Online), Volume-8 Issue-10, August 2019 3099 Published By: Blue Eyes Intelligence Engineering & Sciences Publication Retrieval Number J96280881019/2019©BEIESP DOI: 10.35940/ijitee.J9628.0881019 Journal Website: www.ijitee.org A Conceptual AI-System Model for Home Automation and Smart Monitoring Based On Vision
Authors:   Research scholar in the Department of Computer Science, VISTAS (Vels Institute of Science, Technology & Advanced Studies), Chennai, India., Soji Mr Edwin S , Kamalakannan Dr T. ,   Associate Professor and Head of the Department of IT, School of Computing Science, VISTAS (Vels Institute of Science, Technology & Advanced Studies), Chennai, India.
Published: August 2019

Home automation is a rapidly increasing developmental area in the terribly present days attributable to the higher rate of affordability and ease. It provides the potential of controlling our homes and having the sides retort to events that are managed mechanically, it has become an extremely popular attribute due to its safety functions and reasons of value. We projected a model to introduce the whole automation of our house with a security system for our household. The ideal concept of this project is to ascertain an answer that can be achieved within a minimal budget. We got so used off shelf elements aspect that the amount reduced drastically. This study conjointly discusses the chosen literature, fashionable datasets, and concludes with the challenges within the domain at the side of a future direction. The main conceptual focus of this paper is to pose a system based design that demonstrates the interfacing between MATLAB with camera and Arduino board for observation and management of household instruments. In the projected system, Arduino board is interfaced with MATLAB victimization serial communication to regulate home appliances. Image acquisition device is interfaced to MATLAB which will ceaselessly show the status of the different type of household equipment on the Graphical computer program [GUI] designed in MATLAB. When the correct commands are dispatched from the MATLAB user interface, the corresponding household equipment is turned ON/OFF which are interfaced to Arduino through relay board. The system conjointly sends alert messages or signals if any abnormality is detected in the associate degree. The human motion recognition domain has been active for quite 20 years and has provided an oversized quantity of literature.
A Study of Soil Factors in Relation to Erosion and Land Use on a Nigeria Soil.
Authors: O. Ufinomue , E. Ehis- Iyoha
Published: August 2019

An assessment of the effects of erosion on the soil productivity of Agbor area of Delta State, Southern Nigeria was evaluated. The investigation involved three (3) soils (Virgin forest, Arable cropping and Traffic soils) with history of erosion. The aggregate stability, mean weight diameter (MWD) and state aggregation of soil of the area was studied, since these soils properties have direct relationship with soil erodibility. The results reveals that the soil texture was loamy sand. mean weight diameter values ranged from 0.56 mm (Traffic), 0.74 mm (arable cropping) and 1.25 mm (virgin forest). State of aggregation ranged from 12.00 mm (arable cropping), 23.00 mm (traffic) and 43.3 mm (virgin forest). Mean porosity 65.4 mm (traffic soils), 72.1 mm (arable cropping) and 77.0 mm (virgin forest). Mean aggregate stability ranged from 74.4 mm (traffic soils), 25.8 mm (arable cropping) and 48.00 mm (virgin forest). Soil organic matter mean values ranged from 0.08 g/ kg (traffic soils), 1.90 g/ kg (arable cropping) and 2.72 g/ kg (virgin forest), respectively. The results recorded for virgin forest relative to arable cropping and traffic soils in most of the soil properties evaluated is an indication that current land use practices in Agbor area contribute immensely to the accelerated soil degradation observed in the area.
Developing Integrity University Governance Model in Indonesia
Authors: Salahudin Salahudin , Nurmandi Achmad , Fajar Mukti , Mutiarin Dyah , Siregar Baldric , Sulistyaningsih Tri , Jainuri Jainuri , Agusta Rendra , Karinda Kisman
Published: August 2019

This paper aims to explain and design a model for university governance with integrity that is focused on the core and business processes of university organizations. NVivo applacation had been used in this research. This study revealed that universities have not shown governance with integrity. The colleges have not established the values of integrity as key content at the core of their business and the business processes of a university, namely education, research, society services, human resource management, budgeting, cooperation, infrastructure, and leadership. Furthermore, corruption practices in university governance have been widespread. Therefore, by using method of Strategic Analysis Surfacing and Testing (SAST), this paper also formulates a model of university governance with integrity that puts emphasis on strengthening the core and business processes of university organizations and strengthening the organizational values of university institutions including culture, norms, regulation, management, and organizational structure.
Recovery of nickel from spent NiCd batteries by regular and ultrasonic leaching followed by electrodeposition
Authors: Nivetha Elumalai Selvamani , Saravanathamizhan Ramanujam
Published: August 2019

This study focuses on the hydrometallurgical route of separating Ni metal from spent nickel cadmium (NiCd) batteries. The comparison of separation of nickel metal with the assistance of ultrasonic leaching and regular leaching was performed. Sulphuric acid (solvent) was used as the lixiviant to leach out the nickel metal ions from the spent battery and the parameters affecting the leaching with and without ultrasonication were optimized. The major parameters affecting the leaching process are volume of solvent, concentration of lixiviant and leaching time. The electrodeposition of nickel metal ions from ultrasonically assisted and regular leaching was carried out at an optimized current density of 8 A dm-2, contact time of 4 hours and the concentration of lixiviant of 5 M. It was observed that the recovery efficiency for ultrasonically assisted leaching followed by electrodeposition is 98.5 %, while in regular leaching followed by electrodeposition is 90.8 %.
In Vitro Anti-Biofilm Activity of Curcumin Nanoparticles in Acinetobacter baumannii: A Culture-Based and Molecular Approach
Authors: Hosseini Atefeh , Nejadsattari Taher , Zargar Mohsen
Published: August 2019

Background: Acinetobacter baumannii is one of the most important opportunistic and biofilms-forming microorganisms. Its biofilm structure provides an effective barrier against the antimicrobial penetration and increases the drug resistance of Acinetobacter baumannii by 1000× compared with plankton cells. However, nanoparticles have recently reported as suitable tools to prevent biofilm formation. Objectives: The aim of this study was to investigate the effect of curcumin nanoparticles on biofilm gene expression in Acinetobacter baumannii strains in vitro. Methods: Seventy clinical isolates of Acinetobacter baumannii were collected from different specimens and all specimens were diagnosed biochemically. Antibiotic resistance pattern was detected by disc diffusion method. Isolates of high biofilm producers were selected to investigate the effect of curcumin nanoparticles. The antibiofilm activity of curcumin nanoparticles was studied using Real-time PCR technique in the molecular level. Results: This bacterium showed high resistance to most antibiotics, except for polymyxin B. Twenty-five strains had high biofilm formation capacity. MIC for curcumin was 128 µg/mL in all 25 strains. The expression results showed that CsuE gene was downregulated to 0.31 fold in curcumin-treated samples compared to untreated samples. Conclusions: The study findings suggest that curcumin nanoparticles can be helpful as a candidate for inhibiting the formation of Acinetobacter biofilms.