bluuebunny/crossref_metadata_2025 huggingface dataset:
A Voronoi Based Coverage Enhancement for Wireless Sensor Networks
Authors:   Department of Electronics and Communication Engineering, National Engineering College, Tamil Nadu, India., J. Blessington , B. Komban ,   Department of Electronics and Communication Engineering, National Engineering College, Tamil Nadu, India, M. Lakshmiprabha ,   Department of Electronics and Communication Engineering, National Engineering College, Tamil Nadu, India., A. Monisha ,   Department of Electronics and Communication Engineering, National Engineering College, Tamil Nadu, India., K. Subramanian ,   Assistant Professor, National Engineering College, Kovilpatti, Tamilnadu, India.
Published: March 2020

Wireless sensor network which competes with the modern technologies also paves the way for research and commercial development. Mobile and static sensors form a network that balances sensor coverage and the cost of the sensor. For this a thorough study of the coverage area and mobility of mobile sensor node is necessary. Coverage in wireless networks invoke the observation of physical distance enclosed by the sensors. Voronoi diagrams are used to find out the coverage holes and design movement – assisted sensor deployment protocols, VEC that works on the principle of moving sensors whereas Voronoi based works on the basis of load balancing. The algorithms gain sensor energy stabilization and small effect of deployment energy utilization. Its effectiveness is examined in terms of coverage, uniformity, time and distance. Key words - Sensor deployment,
Two-Level Authentication System for Access Gate Entry in a Localized Campus Network
Authors:   B.Tech. (Electronics and Computer Engineering) III Year Student, School of Electronics Engineering, Vellore Institute of Technology (VIT) Chennai, Tamil Nadu 600127, India., Joshi Kartik , Nama Tushar ,   B.Tech. (Electronics and Computer Engineering) III Year Student, School of Electronics Engineering, Vellore Institute of Technology (VIT) Chennai, Tamil Nadu 600127, India., Shah Rahul Hemal ,   B.Tech. (Electronics and Computer Engineering) III Year Student, School of Electronics Engineering, Vellore Institute of Technology (VIT) Chennai, Tamil Nadu 600127, India., Vijayakumar P. ,   Associate Professor, Vellore Institute of Technology, Chennai, Tamil Nadu 600127, India.
Published: March 2020

Managing the people in a vast organization is a crucial and challenging task that needs to be simple and efficient to be implemented in an organization with a large workforce. Authentication System technology has evolved over the years from the traditional manual verification to biometric technology. These approaches at some point of time have raised concern over the time consumption, range and bandwidth issues. An efficient solution for employee management through authentication is designed using the ESP8266 Wi-Fi module present in NodeMCU microcontroller. Employees connected to the Wi-Fi network of the organization could be tracked and the authentication process could be automated using the IP web camera that extracts the number plate of the vehicle. The vehicle Number plate is detected using a Web camera. This is done by the Computer Vision technique that extracts the region of the image based on the gradient difference found in the number plate. Access gate entry and exit are automated using database information, thus avoiding manual labour work. For a big organization, this could be more efficient than RFID Technology as this design helps the employee avoid the hassle of manually giving the attendance.
Modified U Cell Inverter using Advanced Process Controller for Photovoltaic Applications
Authors:   Department of Electrical and Electronics Engineering, Sri Krishna College of Engineering and Technology, Coimbatore, India., R Sumathi , V Sankari ,   Department of Electrical and Electronics Engineering, Sri Krishna College of Engineering and Technology, Coimbatore, India.
Published: March 2020

This paper proposes a single phase modified seven level U-Cell inverter configurations in which the advanced process controller has been implemented. By using the boost operation the output of the inverter will produce higher output voltage when compared to the maximum DC source value used. To obtain maximum power the designed inverter is implemented with the photovoltaic system where the power is produced from two different PV panels which is connected to DC link by using DC-DC converters. The semiconductor switches and DC links are used to generate the inverter AC output voltages with seven levels. Two PV panels with different voltages are used in which two panels voltages are combined and their powers are injected to the grid. To validate the dynamic performance of the proposed U-Cell inverter the advanced process controller is used in the inverter connected to the grid. The controller is designed and processed to maintain the capacitor voltage to obtain the desired AC output with desired magnitude. The dynamic performance during changes in the supply current and DC voltage of capacitor for the process controller has been obtained.
Predicting the Dynamic Behaviour of Malware using RNN
Authors:   Department of Information Technology, SRM Institute of Science and Technology, Chennai, India., Sengupta Anuradha , Sivasankari S. ,   Department of Information Technology, SRM Institute of Science and Technology, Chennai, India, Raymond V. Joseph ,   Department of Information Technology, SRM Institute of Science and Technology, Chennai, India.
Published: March 2020

Malware analysis can be classified as static and dynamic analysis. Static analysis involves the inspection of the malicious code by observing the features such as file signatures, strings etc. The code obfuscation techniques such as string encryption, class encryption etc can be easily applied on static code analysis. Dynamic or behavioural data is more difficult to obfuscate as the malicious payload may have already been executed before it is detected. In this paper, the dataset is obtained from repositories such as VirusShare and is run in Cuckoo Sandbox with the help of the agent.py. The dynamic features are extracted from the generated Cuckoo logs in the html and JSON format and it has to be determined whether it is malicious or not using recurrent neural networks. Recurrent Neural Networks are capable of predicting whether an executable is malicious and have the ability to capture time-series data.
Stock Market Forecasting from Multi-Source Data using Tolerance Based Multi-Agent Deep Reinforcement Learning
Authors:   Research Scholar, Department of Computer Science, Kongunadu Arts and Science College, Coimbatore, India, Bhuvaneshwari C. , Beena R. ,   Associate Professor, Department of Computer Science, Kongunadu Arts and Science College, Coimbatore, India
Published: March 2020

Analyzing and forecasting the future trends in stock market is challenging due to the ever increasing size of stock data. Modern techniques extract the stock indicators from the web data to forecast the stock movements. However, most previous studies were based on single source of data for extracting these indicators. This might not be effective in obtaining all the possible diverse factors that influence the market movements. Multi-source data has been rarely applied for stock prediction and even those techniques have limitations in handling larger data. In an attempt to utilize multi-source data more effectively for extracting stock indicators and improve the forecasting accuracy of stock movements, this paper developed a stock market forecasting model using Tolerance based Multi-Agent Deep Reinforcement Learning (TMA-DRL) model. The TMA-DRL model effectively combines the quantitative stock data with the indicators i.e. the events extracted from news data and sentiments extracted from tweets. This forecasting model utilizes Random forests to extract the twitter opinions and Restricted Boltzmann Machine (RBM) for event extraction from news data. Combining these indicators, the TMA-DRL model leads to improved data learning and provides highly accurate prediction of future stock trends. Datasets for evaluation were collected from three sources namely Twitter, Market News and Stock exchange, for 12 months period. Evaluation results illustrate the effectiveness of the proposed TMA-DRL stock market forecasting model which makes predictions with high accuracy and less time complexity.
Experimental Work on Cold Starting Emission of CI Engine using Engine Waste Heat Energy
Authors:   Associate Professor, Dept. of Mechanical Engineering, Centurion University of Technology and Management, Bhubaneswar, Odisha, India., Rath Mahendra Kumar , Panda Rashmi Ranjan ,   Assistant Professor, Dept. of Mechanical Engineering, Centurion University of Technology and Management, Bhubaneswar, Odisha, India, Patnaik Sanjay ,   M.Tech Scholar, Dept. of Mechanical Engineering, Centurion University of Technology and Management, Bhubaneswar, Odisha, India
Published: March 2020

In the present day, emission by internal combustion engines causes several problems like acid rain, depletion of ozone layer, and global warming for which it has become a prior concern. The hazards further increases during cold weather conditions. In this paper, emission analysis has been carried out using single cylinder, 4 stroke, direct injection and water cooled variable compression ratio diesel engine. A thermal energy storage device (TESD) containing phase changing material (PCM) has been designed and tested for storing the waste energy of cooling water from engine and reutilizing it for pre-heating. The working principle of TESD is based upon the principle of absorbing and rejecting heat during phase change of PCM material. The test condition is 15° C and 1 atm pressure at which, the experiments are carried out using TESD. A significant reduction in CO (23.72%), HC (2.03%) and smoke opacity (6.05%) after 900secs and an increase in engine temperature upto 61ºC after 840secs of engine running is observed.
Effect on Thermal Performance by Different Types of Fixed Sun Shading Devices
Authors:   Department of Architecture and Planning, Development and Maintainence Office, Universiti Tun Hussein Onn Malaysia, 86400 Batu Pahat, Johor, Malaysia, Gimat Mohd Fadlullah , Sulaiman Mohd Khairul Azhar Mat ,   Department of Architecture and Built Environment, Fakulty of Engineering and Built Environment, Universiti Kebangsaan Malaysia, 46300 Bangi, Selangor, Malaysia
Published: March 2020

An application of sun-shading device is one of the options to elevate the exterior façade appearance while keeping the thermal performance at the best for the indoor. This research aimed to evaluate the effectiveness of selected types of fixed passive sun-shading devices installed at three-story terrace shop houses in Malaysia. Most previous studies on this passive strategy have been conducted via software simulation, in which results were not validated by field measurement. Therefore, this research employed stationary experiment on actual building and meteorological condition using three types of fixed shading devices: egg crates (SDE), vertical (SDV), and horizontal (SDH). SDE showed significant improvement on indoor thermal environment by reducing indoor air temperature (Ta ) of about 0.98 K on the average of a month and 2.11 K on the highest temperature on the average of a month. SDE also showed significant performance during the hottest sunny day, in which it reduced 1.23 K for the average of a day. Meanwhile, on the hottest peak time, SDE reduced 5.40 K compared to the control room. Similarly, for indoor mean radiant temperature (Tmrt), SDE showed notable performance during the high peak temperature on the average of a month (2.38 K) and during the hottest day (7.70 K) compared to control room, SDV, and SDH. On top of that, SDH also showed similar performance as SDE on the average of a month by a difference of 0.03 K. The experimental results also indicate that SDH showed the best performance at night by releasing heat faster than other types of sun-shading devices. This passive solution is one of the best options to improve indoor thermal performance and potentially contribute to energy savings on the building operation.
Development of a Solar Operated Blower for Forging Operation: An Initiative for Sustainable Livelihood of Rural Area
Authors:   Department of Mechanical Engineering , Centurion University of Technology and Management, Odisha, India,, Behera Debashree Debadatta , Mohanty R.C. ,   Department of Mechanical Engineering, Centurion University of Technology and Management, Odisha, India,, Mohanty A.M. ,   Department of Mechanical Engineering, Centurion University of Technology and Management, Odisha, India,
Published: March 2020

Blacksmith generally do the forging operation by hand which requires more time and have survived to exist in rural economy even today. Due to unavailability of electricity and limitation of modern energy sources, economic development of rural area lays extreme poverty line. Development of solar operated blacksmith blower gives a reliable and sustainable solution to blacksmith for their forging operation. This paper represents design and development of solar operated blacksmith blower which was eco-friendly, less time consuming and high efficiency. The main component of solar operated blower is charge controller, battery, solar panel, DC blower and a speed controller. Mathematical calculation had been done for sizing of solar panel, battery, and charge controller and speed controller. The regulation of supplement of air for forging operation with the help of speed controller is the unique design of this research.
Empirical Data on Mobile Money Hesitation Factors in Somalia
Authors:   Faculty of Malaysia-Japan International institute of technology (MJIIT), University technology Malaysia, Osman Fouad Youssouf , Tareq Mohammad Ali ,   Head of the Management of Technology (MOT) department of Malaysia Japan International Institute of Technology (MJIIT), Universiti Teknologi Malaysia.
Published: March 2020

Mobile money is an electronic system of transferring money from person to person. The mobile money service has expanded its coverage all over the world and there is hardly any country that do not practice any form of mobile money transfer. Somalia is one of the countries that embraced mobile money unconditionally as there is lack of traditional financial institutions providing financial services since the collapse of central government in 1991. Somalians accepted mobile money because it has made money transfer easier for them to pay bill and shopping. However, there are hesitation factors that hinder the full scale functioning of the system and makes people hesitate to use mobile money. Currently mobile money users practice very limited mobile money functions such as sending and receiving, withdrawal, top up and internet recharge. Other mobile money functions such as pay tuition fees, payrolls, payments for purchase t, utility payment and saving money into mobile money account are lagging behind. This empirical study explores the inconvenience factors that lead people to hesitate to use mobile money in a large scale. In this study, 650 survey questionnaire were distributed among mobile money users in Somalia. The questionnaires were distributed through online Google form. A total of 375 respondents submitted their responses and all the answers were recorded into SPSS. IBM-SPSS statistics 22 were used to statistically analyses the data. Factor analysis for data validity and scale analysis for data reliability, frequency and descriptive statistics were conducted to analyze the data. The study found that there are numerous mobile money hesitation factors that make Somalian people to hesitate fully practicing the system. These hesitation factors include perceived risk of financial loss, perceived risk of system error, perceived risk of authentication weaknesses, lack of regulation and policy and interoperability between the mobile money service providers. This study concludes that hesitation factors needs to be addressed that will improve the level of mobile money usage into full scale. Among factors that may reduce hesitation factors of the usage of mobile money services in Somalia are high level accuracy of mobile money authentication system, operative interoperability platform, highly effective compensation system and functioning mobile money regulations and policy.
A New Generalization of Quasi Gamma Distribution with Properties and Applications
Authors:   Department of Statistics, Annamalai University, Tamil Nadu, India., Ganaie Rashid A. , Rajagopalan V. ,   Department of Statistics, Annamalai University, Tamil Nadu, India.
Published: March 2020

we have introduced weighted technique for quasi gamma to convert known distribution into new model called weighted quasi gamma distribution. Finally, newly proposed distribution is examined with an application.
Identify Occurrence of Substance Object of a Certain Classification in Fractional Videos and Pictures
Authors:   Computer science and engineering, Centurion university of technology and management, Odisha, India., Akkala Abhilasha , Seekoli Avinash ,   Computer science and engineering, Centurion university of technology and management, Odisha, India.
Published: March 2020

Object detection and recognition are the meta-heuristic problems in computer vision. Practically usable dynamic object recognition methods are still unavailable. A new method was proposed which improves over existing methods in every stage. In that addition features like geometric shapes, ellipsis are added. An heuristic codebook was proposed of good generalization and discriminative properties, enabling multipath interferences mechanisms on propagation of1 conditional livelihood. A new learning method also proposed which is capable of online learning.
Introspection of Alternative Aviation Fuel Processing Technology: Benchmarks and Challenges
Authors:   School of Aerospace Engineering, Engineering Campus, Universiti Sains Malaysia, Nibong Tebal, Pulau Pinang, 14300, Malaysia., Azam Qummare , Alhaj Ahmed Mahjub ,   School of Aerospace Engineering, Engineering Campus, Universiti Sains Malaysia, Nibong Tebal, Pulau Pinang, 14300, Malaysia., Sulaiman Siti Zubaidah ,   Faculty of Chemical and Natural Resources Engineering, Universiti Malaysia Pahang, 26300 Kuantan, Pahang, Malaysia., Mazlan Nurul Musfirah ,   School of Aerospace Engineering, Engineering Campus, Universiti Sains Malaysia, Nibong Tebal, Pulau Pinang, 14300, Malaysia.
Published: March 2020

Aviation industry is one of the main contributors and fastest-growing sectors in the world economy. Fuel consumption from this industry is one of the major issues that have drawn the attention of both professionals and researchers in recent years. The high dependency along with the high consumption of aviation fuel on petroleum plays a crucial role in environmental degradation due to increased carbon dioxide and other emissions, as well as in the increasing rate of fossil fuel depletion. Therefore, various potential technologies have been developed and further investigated to produce alternative aviation fuels, especially biofuels. In this article, principles, sustainability, and main concerns of different alternative aviation fuel processing technologies, with some focus on biofuels, are discussed in challenges and possible remedies. The major ecological problems connected with the application of conventional jet fuels in contrast to The advantages of biofuels implementation in the aviation industry are also highlighted. This work is aimed to show the state of the art of current alternative aviation fuels, their production technologies, and the potentiality of replacing the conventional jet fuel.
Stability Analysis of Power System using FACT Controller i
Authors:   Research Scholar, I.K. Gujral Punjab Technical University, Jalandhar ,Punjab(India), Kaur Sandeep , Khela Raja Singh ,   Director, Doaba College Of Engineering & Technology, Punjab (India)
Published: March 2020

The Stability of power system is influenced by different elements such as harmonic distortion attributed to non-linear loads, like unregulated voltage and unstudy current because of sag and swell and switching capacity. One of the effective methods is to make use of an integrated circuit of active shunt and series power filters such as Unified power quality conditioner in short called as UPQC. Such instrument binds a active shunt power filter with a active series power filter in Sequential formation, to simultaneously make up for the regular supply of voltage and current or to remove voltage and current disturbances in a power allocation and networking system. In present article, a latest layout of Unified power quality conditioner in short called as UPQC has been presented, consisting of a electromechanical device such as Direct current to direct current converter and the storage device joined to the dirct current (DC) link of the UPQC to counter the voltage disturbances.
IoT Based Traffic Signal Control for Ambulance
Authors:   Department of Computer Science and Engineering, Rajalakshmi Engineering College, Chennai, Tamil Nadu, India., R. Reeta , R. Kirithiga ,   Department of Computer Science and Engineering, Rajalakshmi Engineering College, Chennai, Tamil Nadu, India., Kumar Kavitha V. ,   Department of Computer Science and Engineering, Rajalakshmi Engineering College, Chennai, Tamil Nadu, India., M. Jaishree ,   Department of Computer Science and Engineering, Rajalakshmi Engineering College, Chennai, Tamil Nadu, India.
Published: March 2020

In modern era, due to increase in traffic in the city, emergency vehicles take more time to reach the destination. The current, time-based traffic management system is not suitable and also not flexible for present day traffic, especially at the intersection where the traffic needs to be controlled for vehicles from all four directions. To solve this problem, we bring users a sound detector with automatic recording of various vehicle sounds and distinguishing the presence of ambulance in a particular lane by detecting the siren sound. The captured ambulance sound is processed using IOT and sent to the traffic pole to enhance the traffic clearance. This is carried out by placing the sensors in each lane and a sensor near the traffic pole to indicate that the ambulance has crossed the lane. In this method the traffic signal controller decides when the vehicle has to cross the road and also provide importance to the emergency vehicle.
Plant Monitoring System for Greenhouse Management
Authors:   Computer Science and Engineering, K.Ramakrishnan College of Engineering, Trichy, Tamil Nadu, India, Bala B. Kiran , Arjun R. ,   Computer Science and Engineering, K.Ramakrishnan College of Engineering, Trichy, Tamil Nadu, India., Gokul S. ,   Computer Science and Engineering, K.Ramakrishnan College of En gineering, Trichy, Tamil Nadu, India., Karthik V. ,   Computer Science and Engineering, K.Ramakrishnan College of Engineering, Trichy, Tamil Nadu, India., Mathes N. ,   Computer Science and Engineering, K.Ramakrishnan College of Engineering, Trichy, Tamil Nadu, India.
Published: March 2020

This system is intended to monitor the extinct plants. Generally, these kinds of system will be deployed in the garden of our home, but we made them suitable for the greenhouse in monitoring the individual plant. This system has light, temperature, humidity and moisture sensors are available, our work to monitor the plant will be much easier. This entire thing will be ease by the concept of Cloud and IoT. We need a microcontroller that connects the cloud via the internet. Due to this purpose, we discovered the Bolt IoT module integrated with its cloud. Since this module is having only a single analog pin to read the data, we interfaced with the Arduino UNO with the Bolt by UART protocol. By connecting the required sensors with the analog pins of the Arduino board, we collected the data and pushed them to the cloud to represent the required data in a graphical form.
An Intelligent Feature Selection with Optimal Neural Network Based Network Intrusion Detection System for Cloud Environment
Authors:   Assistant Professor, Department of Computer Science, Kunthavai Naacchiyaar Govt Arts College for Women, Thanjavur., Thirumalairaj A. , Jeyakarthic M. ,   Assistant Director (Academic), Tamil Virtual Academy, Chennai.
Published: March 2020

At present times, Cloud Computing (CC) becomes more familiar in several domains such as education, media, industries, government, and so on. On the other hand, uploading sensitive data to public cloud storage services involves diverse security issues, specifically integrity, availability and confidentiality to organizations/companies. Besides, the open and distributed (decentralized) structure of the cloud is highly prone to cyber attackers and intruders. Therefore, it is needed to design an intrusion detection system (IDS) for cloud environment to achieve high detection rate with low false alarm rate. The proposed model involves a binary grasshopper optimization algorithm with mutation (BGOA-M) as a feature selector to choose the optimal features. For classification, improved particle swarm optimization (IPSO) based NN model, called IPSO-NN has been derived. The significance of the IPSO-NN model is assessed using a set of two benchmark IDS dataset. The experimental results stated that the IPSO-NN model has achieved maximum accuracy values of 99.36% and 97.80% on the applied NSL-KDD 2015 and CICIDS 2017 dataset. The obtained experimental outcome clearly pointed out the extraordinary detection performance of the IPSO-NN model over the compared methods.
FPGA Implementation of Efficient FIR Filter
Authors:   ABES Engineering College,Ghaziabad, INDIA,, Yadav Ranjeeta , Tripathi Rohit ,   Galgotias University, Greater Noida, INDIA,, Yadav Sachin ,   GL Bajaj Institute of Technology & Managment, Greater Noida, INDIA,
Published: March 2020

Improve the functionality of an FIR Filter by modifying the internal components used to design a filter. These past years have seen some great improvements in the speed, power, and area of the filter. Here, we will, therefore, use an ALU-based algorithm to design our FIR filter. The internal components of the ALU block will be an Adder and a Multiplier. A Floating point Adder and a Floating Point Multiplier will be the basic backbone of the ALU block, which finally will be used to design and implement our FIR filter design. Therefore, the parameters of the area are our main target but we will also see the power consumed by the Filter operation, both static and dynamic power consumed will be seen. The programming language will be written in VERILOG and the simulation and implementation of the design will be done by the help of Xilinx ISE suite version. One important aspect is that there will be 16 input samples and 16 coefficients which will be directly from a 16 tap filter. These coefficients and input values will be generated through MATLAB software.
Voice Controlled Notice Board Display with Android Application
Authors:   Senior Assistant Professor, Department of ECE, PVPSIT, Kanuru,Vijayawada, India., Mohammad Habibulla , Bhavana Katta ,   Department of ECE, PVP Siddhartha Institute of Technology,Kanuru,Vijayawada, India., Trilok Gajula ,   Department of ECE, PVP Siddhartha Institute of Technology,Kanuru,Vijayawada, India., Sirisha Dugginapalli ,   Department of ECE, PVP Siddhartha Institute of Technology,Kanuru,Vijayawada, India, Sai Konkimalla Rohith ,   Department of ECE, PVP Siddhartha Institute of Technology, Kanuru, Vijayawada, India.
Published: March 2020

Now-a-days notice board plays a crucial role in many institutes/organizations or in railway stations, bus stands, schools, hospitals and in many other public places. Paper notices stacked on the notice board is a time lagging, cost effective process which includes wastage of time, paper and human work. The main purpose of the notice board is used to view the information in an efficient way to the people, on the other hand to update the messages immediately is not easy on the notice board. This project, deals about an advanced Hi-Tech wireless communicated Notice Board. We are introducing a new “VoiceTotext.apk” android application software which would convert the voice to text. It works on all android platforms, but also it can work with a working internet in the mobiles or any other PC’s.
Structural Analysis of Mechanical Seal Holding for Mixer Pumps
Authors:   Assistant Professor, School of Mechanical Engineering, Sathyabama Institute of Science and Technology, Chennai, Tamilnadu, India, Purusothaman M. , Teja Nama Sai ,   Students School of Mechanical Engineering, Sathyabama Institute of Science and Technology, Chennai, Tamilnadu, India., Reddy Muddarapu Jaswanth ,   Students School of Mechanical Engineering, Sathyabama Institute of Science and Technology, Chennai, Tamilnadu, India., Ram Oduri Pavan ,   Students School of Mechanical Engineering, Sathyabama Institute of Science and Technology, Chennai, Tamilnadu, India, Saketh Meka Surya ,   Students School of Mechanical Engineering, Sathyabama Institute of Science and Technology, Chennai, Tamilnadu, India.
Published: March 2020

A mechanical seal is a device that used to reduce leakage containing pressure or ignoring contamination. Mechanical seal is the device used in centrifugal Pumps, Mixers, Agitators and Compressors to arrest or reduce the leakage. The mechanical seal standard API 682 provides the design guidelines for the seals which are fits below 110mm shaft diameter and 4.2 N/mm2 seal chamber pressure. Any seal more than these parameters required special engineering or guidelines needs from technical service. The main aim is to design the mechanical seal for more than 110mm shaft diameter and more than 4.2 N/mm2 pressure. Since the basic seal components are mostly standardized and already tested than the seal gland connections are seems to be critical for large shaft diameter and high or heavy pressure applications. Hence the stress and deflection of the mechanical seal gland is analyzed based on barrier pressure and seal chamber pressure with the help of Inventor and another critical area is the seal drive arrangements.
Performance of Smart Farming through Drip Irrigation and Managing of Fertilizers and Pesticides through IoT and GSM
Authors:   Computer Science Department, St.John’s College,Palayamkottai,Tirunelveli,,Tamil Nadu,India., Mary D. Louisa , Ramakrishnan M. ,   Department of Computer Applications, Madurai Kamarajar University, Madurai,Tamil Nadu,India., Singh A. Abraham N R ,   Electronics Department, St. John’s College, Palayamkottai, Tirunelveli, Tamil Nadu, India.
Published: March 2020

In conventional farming the growth of the plant of interest is manually monitored by human senses, which needs high degree of sense perceptions and it always has a high quantum of error. If the farming is made automated with IoT applications, it can be done with utmost precision and accuracy. Human interventions can be minimized. Thus the efficiency of the cultivation can be enhanced and utilization of materials like water, fertilizers can be optimized. In IoT-based Smart Farming, a system is built for monitoring the crop field with the help of humidity, temperature, soil moisture sensors and automated the irrigation system. Internet of Things (IoT) is a collection of wireless sensors network finding their applications in the optimization of irrigation and administration of useful nutrients. Wireless Sensor Networks (WSN) are major components of IoT. This irrigation method will avoid the wastage of water, save time and produce more yield. This Proposed method detects the fertilizers and pesticides spraying date and send the alert messages to the user using GSM (Global System for Mobile Communication) for better yield both quantitatively and qualitatively. Drip irrigation method is also adopted to use water sparingly and hence to avoid other problems like eutrophication and green house effect which are commonly caused by flooding of cultivation lands.
Arduino-Based Control and Monitoring System of Household Appliances Status using Android Application
Authors:   Graduate School Department, Nueva Ecija University of Science and Technology, Cabanatuan, Nueva Ecija, Philippines., Castro Mark Anthony A. , Mallari Sherwin V. ,   Graduate School Department, Nueva Ecija University of Science and Technology, Cabanatuan, Nueva Ecija, Philippines, Torres Russell John M. ,   Graduate School Department, Nueva Ecija University of Science and Technology, Cabanatuan, Nueva Ecija, Philippines, Manese Romy A. ,   Graduate School Department, Nueva Ecija University of Science and Technology, Cabanatuan, Nueva Ecija, Philippines, Pascual Lorinda E. ,   Graduate School Department, Nueva Ecija University of Science and Technology, Cabanatuan, Nueva Ecija, Philippines.
Published: March 2020

The purpose of this study entitled Arduino-based Control and Monitoring System of Household Appliances status using Android Application is to help the people to have control over the house by means of switching on/off and monitor the loads that are plugged into the outlet by the use of cellphones/ tablets. This project provides the simple way to access loads that are left running and forgotten to unplug at home. The structure of the prototype is made up of HardieFlex physical appearance making it fire retardant consisting of 3 sockets available. The 2 outlets are for the normal house sockets while the other one is separated for the Air-condition unit. The circuit breaker is on the upper left side corner dividing the wires of each sockets. The Android Application uses text messages to send information then received by the GSM (Global System for Mobile) and translates it to the Arduino. The Arduino commands the relays to cut and provide electricity for the outlets. This device can notify an individual if there are loads left running, wherein the current sensor able to read the current from the outlet to determine if it has a working load that are plugged into the outlet. The study implements power interruption notification in terms of using the voltage sensor to acquire information of possible power outage occurrences. Based on the results of the evaluation, 95.83% believe that the project was made conveniently, that they are now aware of their surroundings giving them the idea of their house is beyond their reach, and also 95.83% of the respondents are certain that the system is relevant and beneficial to the society.
Implementation of Text Compression using Adaptive Shannon-Fano Algorithm
Authors:   Computer Engineering, Universitas Negeri Makassar, Makassar, Indonesia., Zain Satria Gunawan , Nirwana  ,   Computer and Informatics Engineering Education, Universitas Negeri Makassar, Makassar, Indonesia, Kaswar Andi Baso ,   Computer Engineering, Universitas Negeri Makassar, Makassar, Indonesia., Suhartono  ,   Computer Engineering, Universitas Negeri Makassar, Makassar. Indonesia., Patta Abd. Rahman ,   Computer Engineering, Universitas Negeri Makassar, Makassar, Indonesia.
Published: March 2020

This study aims to implement the Shannon-fano Adaptive data compression algorithm on characters as input data. This study also investigates the data compression ratio, which is the ratio between the number of data bits before and after compression. The resulting program is tested by using black-box testing, measuring the number of character variants and the number of types of characters to the compression ratio, and testing the objective truth with the Mean Square Error (MSE) method. The description of the characteristics of the application made is done by processing data in the form of a collection of characters that have different types of characters, variants, and the number of characters. This research presents algorithm that support the steps of making adaptive Shannon-fano compression applications. The length of the character determines the variant value, compression ratio, and the number of input character types. Based on the results of test results, no error occurs according to the comparison of the original text input and the decompression results. A higher appearance frequency of a character causes a greater compression ratio of the resulting file; the analysis shows that a higher number of types of input characters causes a lower compression ratio, which proves that the proposed method in real-time data compression improves the effectiveness and efficiency of the compression process.
Bio Metrological Assessment of Shelf-life of Azadirachta Indica
Authors:   Department of Physics, Kumaraguru College of Technology, Coimbatore, Tamil Nadu, India., R Balamurugan. , R Sivahari. ,   Department of Chemistry, Kumaraguru College of Technology, Coimbatore, Tamil Nadu, India., B Aravindh. ,   Department of Mechanical Engineering, Kumaraguru College of Technology, Coimbatore, Tamil Nadu, India., S Shoba U. ,   Department of Chemistry, Kumaraguru College of Technology, Coimbatore, Tamil Nadu, India., T. Sathishkumar. ,   Department of Biotechnology, Kumaraguru College of Technology, Coimbatore, Tamil Nadu, India.
Published: March 2020

The concentration and activity of water in Azadirachta indica describes the shelf life of Neem. The physical and chemical properties of many biological materials depends on the level of water content, which affects the maturity of the fruits and vegetables. Biospeckle technique is a tool used for contrast analysis and hence distinguishes the water activities at different stages in shelf-life of the specimen. Decomposing condition of Azadirachta indica is evaluated by Time History of Speckle Pattern (THSP) during different stages with histogram analysis and fractal box counting methods.
A Symmetric Searchable Encryption Identification of Data on Probabilistic Trapdoors
Authors:   Department of Computer Science & Engineering Godavari Institute of Engineering & Technology (Autonomous), Rajahmundry, India., Satyanarayana N. V. V. , Kumar J. M. S. V. Ravi ,   Professor, Department of Computer Science & Engineering Godavari Institute of Engineering & Technology (Autonomous), Rajahmundry, India., Reddy M. Babu ,   Professor, Department of Computer Science & Engineering Godavari Institute of Engineering & Technology (Autonomous), Rajahmundry, India., Leelavathi N. ,   Professor and Vice Principal, Department of Computer Science & Engineering Godavari Institute of Engineering & Technology (Autonomous), Rajahmundry, India, Sujatha B. ,   Professor and Head, Department of Computer Science & Engineering Godavari Institute of Engineering & Technology (Autonomous), Rajahmundry, India.
Published: March 2020

Accessible Encryption (SE) permits a client in accordance with transfer records in accordance with the astronaut and according to seem thru it of a faraway manner while defending the security concerning each the statistics yet the inquiries. Right now, entrust a generative then the simple in imitation of actualize Symmetric Searchable Encryption Scheme because instance (SSE) [4]. This tale takes the some round concerning correspondence namely O(n) instances on calculations upstairs n range regarding records . We likewise presented some other variety of Search Pattern Privacy, as gives a percentage about safety on the spillage structure trapdoor [4]. We also advocate the modifications over our graph because of batch inquire who can not reap the versatile vagary recipe. The current method offers the appropriateness whilst maintaining stuff about the data classified, that is viable so much such has advise bother among the full altar about the demand bill and wants in accordance with remove watchwords now the archives are eke out away. We likewise recommend adjustments in our format so the graph execute be utilized upon the potent enemies at the fee on various rounds of transmission yet the inclination space. [6]We may eke exhibit our layout on a range of commercial enterprise datasets. Likewise correct now, utilizes the Hash tying strategy instead than band over encryption action because file for consideration majority which makes such splendid for light poise applications. We are the first in imitation of suggest pardon trapdoors between Symmetric Searchable Encryption because the tussock search.
IR Remote Control and Eye Blink Sensor based Implementation of Driver Drowsiness Detection
Authors:   G. H. Patel PG Department of Computer Science and Technology, Sardar Patel University, Vallabh Vidyanagar, Gujarat, India., Bhatt Pankti P. , Trivedi Jeegar A. ,   G. H. Patel PG Department of Computer Science and Technology, Sardar Patel University, Vallabh Vidyanagar, Gujarat, India.
Published: March 2020

Street mishaps are a typical marvel in our everyday lives. Every year these street mishaps prompted numerous passings, deadly wounds and monetary misfortunes everywhere throughout the world. India positions first in the number of street mishap passings over the 199 nations announced in the World Road Statistics, 2018 followed by China and the USA. According to the WHO Global Report on Road Safety 2018, India represents practically 11% of the mishap related passings in the World. One of the major reasons for these mishaps is the sleepiness of drivers. Accordingly, it is important to build up a strategy to recognize the driver's laziness to decrease the mishap rates. In this paper, we have proposed a recognizing, avoidance and alerting system to minimize the street mishaps which are causing due to the sleepiness of drivers using Arduino Microcontroller, Eye Blink Sensor, IR Remote Control and IR Remote Receive Module.
Relaxed Skolem Mean Labeling of Four Star Graphs
Authors:   Research Scholar, Department of Mathematics, St. Xavier’s College, Palayamkottai, Tirunelveli-627002, Affiliated to Manonmaniam Sundaranar University, Abishekapatti, Tirunelveli-627 012, TamilNadu, India, Samuel Abraham K , Vinolin J. ,   Research Scholar, Department of Mathematics Reg .No. 12310, St. Xavier’s College, Palayamkottai, Tirunelveli-627002, Affiliated to Manonmaniam Sundaranar University, Abishekapatti, Tirunelveli-627 012, TamilNadu, India, Ramesh D. S. T. ,   Department of Mathematics, Nazareth Margoschis College, Pillaiyanmanai,Thoothukudi-628617, Affiliated to Manonmaniam Sundaranar University, Abishekapatti, Tirunelveli-627 012, TamilNadu, India
Published: March 2020

Four star graphs G = where is a relaxed skolem mean graph if = 2 is the main purpose of this research article.
Effect of Pouring Temperature on Mechanical Properties of Semisolid Cast A319 Aluminum Alloy
Authors:   Mechanical Engineering, Centurion University of Technology & Management, Bhubaneswar, India., Padhi Manas Ranjan , Routray Chitta Ranjan ,   Mechanical Engineering, Centurion University of Technology & Management, Bhubaneswar, India.
Published: March 2020

Semisolid metal (SSM) casting or thixoforming is a technique used to produce near net-shaped products. The process is used with non-ferrous metals, such as aluminium, copper and magnesium. Furthermore, it has advantage over conventional casting due to suppression of dendrite growth. In the present work, the semisolid casting of A319 aluminium alloy has been carried out by using an inclined plate with different melt pouring temperatures (620, 625, 630 and 635 °C). A319 alloy melt undergoes partial solidification when it flows down on an inclined plate. It results in continuous formation of columnar dendrites on plate wall. Due to forced convection, these dendrites are sheared off into equiaxed or fragmented grains and then washed away continuously to produce semisolid slurry at plate exit. The prepared castings were checked for their mechanical properties like tensile, hardness and impact strength. The results obtained were compared with that of alloy prepared from conventional sand casting. It was found that there is an enhancement in mechanical properties due to shearing off columnar dendrites.
Performance Assessment of 1.20 MLD Sewage Treatment Plant
Authors:   Assistant Professor, SIRDA Institute of Engineering Technology, Sundernagar, Himachal Pradesh, India., Dinesh Sharma , Devinder Sharma ,   Director/Principal, SIRDA Institute of Engineering Technology, Sundernagar, Himachal Pradesh, India., Singh Vikram ,   SIRDA Institute of Engineering Technology, Sundernagar, Himachal Pradesh, India.
Published: March 2020

A study was carried out to evaluate the performance of Sewage Treatment Plant in Ghumarwin area and the following conclusions have been drawn. The ranges of physical, chemical and biological characteristics of waste water quality which is in the permissible limits given by waste water/sewage effluent standard as per pollution control board. The results of parameters i.e. pH, BOD, COD, TSS, Oil & Grease after the sewage treatment is under the standards limits. The standards of sewage treatment parameters pH, BOD, COD, TSS, Oil & Grease up to 5.5-9.0, 30mg/l, 250mg/l, 100mg/l and 10mg/l. The results of pH, BOD, COD, DO and SS were 7.0 to 7.5, 18.0 to 22.0 mg/l, 150.0 to 165 mg/l, 5.0 to 6.0 mg/l and 50.0 to 56.0 mg/l, which are within the permissible standard limits . In the present study, all the above parameters were compared with the limits given by Pollution Control Board and it was found that all parameters are with in the acceptable limits. Hence it is concluded that performance of Sewage Treatment Plant is good and in working condition.
Lung CT Image Classification using Deep Neural Networks for Lung Cancer Detection
Authors:   CSE, V R Siddhartha Engineering College, Vijayawada, India., Chalasani Prathyusha , Rajesh S. ,   CSE, V R Siddhartha Engineering College, Vijayawada, India
Published: March 2020

In Recent years, image processing strategies are broadly utilized in a few restorative territories for image improvement in prior division and treatment stages, where the time factor is imperative to find the variation from the norm issues in target pictures, particularly in different malignant growth tumors, for example, lung disease. Lung cancer is the most important disease cause high mortality rate. And computer-aided diagnosis can be useful for physicians to accurately identify the cancer cells. Many computer-aided methods have been studied and applied using image processing and machine learning. But, they are not acceptable for a health-based classification models to have high false positive and true negative rates as it they can devastate lives through false diagnosis. To reduce the effect of them in classification, to perform experiments JSRT data set is considered as it is the most widely used benchmark data set. The proper segmentation of lung tumor from X-ray, CT-scan or MRI these are the stepping stone towards automated diagnosis system for lung cancer detection. Our detection is to train this neural network using volumes with tumor size and position. In recent techniques like machine learning can predict lung cancer but this technique is not suitable for predicting segmentation of images in that particular area.