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JGE

Journal of Green Engineering

[Indexed in Scopus]

ISSN: 1904-4720 (Print)
ISSN: 2245-4586 (Online)
Publication Frequency: 12 issues per year

Volume:10 Issue:1

Efficient Study of Smart Garbage Collection for Ecofriendly Environment
1R.Naresh , 2M.Meenakshi, 3G.Niranjana
1Associate professor, Department of Computer Science and Engineering, SRM Institute of Science and Technology, Kattankulathur, India.
2Teaching Associate, Department of Computer Science and Engineering, SRM Institute of Science and Technology, Kattankulathur, India.
3Associate professor, Department of Computer Science and Engineering, SRM Institute of Science and Technology, Kattankulathur, India.
Abstract: [+]
Community trash fill up quicker than ever and eventually many of the containers end up overflowing before recycling, causing not only cluttered roads and unpleasant odors, but also negative impacts on health and the environment. Smart garbage collection is a method for trash accumulation that expects to streamline squander accumulation and at last diminishes fuel utilization. At the point when the canisters are set at a specific position a cell phone is required to distinguish its specific scope and longitude just once. This lessens the expense of the general framework as GPS (Global Positioning System) won’t be required at that point. There are various sensors inside the canister and one of them is an ultrasonic sensor that will shoot sonar waves to realize how much stuff is inside the container. Additionally, the temperature sensors will quantify the temperature inside the refuse canister. Information gathered from the sensors are sent over a cell organize for examination and the information is displayed on Ubidots web stage for clients. Ubidots is a cloud administration to detect and control hardware in real time. A rundown of canisters to be gathered would then be able to be sent to drivers to design a specific course. There will likewise be continuoustracking of the urban body’s garbage vehicles utilizing RFID(Radio Frequency Identification). The vehicle proprietor needs to streak his RFID card with the goal that who and when and at what time the trash container was emptied will be known.
Keywords: GPS, RFID, Garbage, Ubidots,Ecofriendly Environment.
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Review and Analysis of Energy Efficient Scheduling Algorithms in Heterogeneous Architectures
Sanaa A. Sharaf
Assistant Professor, Department of Computer Science, Faculty of Computing and Information Technology, King Abdulaziz University, Saudi Arabia.
Abstract: [+]
Heterogeneous systems are used to carry out comprehensive computational calculations and consist of a variety of system facilities which may be local to the network or geographically dispersed. How efficiently these heterogeneous systems can perform simultaneous tasks is reliant on which processes are used to schedule the tasks in all relevant applications. Reducing the required time for execution of these tasks within the heterogeneous systems and considering the complexities and challenges which may occur through task-scheduling require detailed assessment. Diversity of communication rate due to the use of multiple processors and speeds at the homogenous systems creates a big challenge that is needed to overcome. Therefore, this paper will examine scheduling algorithms that have recently been used in heterogeneous architectures to discover what areas are missing in this field of research.
Keywords: Scheduling Algorithms, Distributed Systems, HeterogeneousSystems, GridComputing, Cloud Computing, High Performance Computing.
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Electric Vehicle Battery Modelling Methods Based on State of Charge– Review
1D. Thiruvonasundari and 2K.Deepa
1Research scholar, Department of Electrical and Electronics Engineering, Amrita School of Engineering, Amrita VishwaVidyapeetham University, Bangalore, India.
2Assistant professor, Department of Electrical and Electronics Engineering, Amrita School of Engineering, Amrita VishwaVidyapeetham University, Bangalore, India.
Abstract: [+]
Battery behavior prognostic is an important concern in most of the applications especially in electric vehicles which are using lithium ion batteries. Battery performance estimation methods will improve the life span by preventing over-discharge and overcharge, yielding increased battery life. It allows the battery user to make out the available energy in the battery stack. Therefore an accurate, easy to use battery model should be established to estimate the battery parameters. In this paper five important lithium-ion battery models such as Empirical, Equivalent circuit, Electro chemical, Reduced-order and Data driven models are discussed based on the State of charge estimation and compared along with their advantages and disadvantages. Battery model parameters are obtained by using Electro-chemical Impedance Spectroscopy (EIS) test and the implementation details are presented.
Keywords: Battery model, Electric Vehicle (EV), Battery Management System (BMS), Lithium-ion (Li-ion) battery, State of Charge (SoC).
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Use of Waste Synthetic Fiber Reinforcement in Environmental Friendly and Economic Pavement Construction
1,*Bishnu Kant Shukla, 2Anit Raj Bhowmik, 3Pushpendra Kumar Sharma, 4Abhimanyu
1,*Assistant Professor,School of Civil Engineering, Lovely Professional University, Phagwara, Punjab, India.
2Student,School of Civil Engineering, Lovely Professional University, Phagwara, Punjab, India.
3Associate Professor,School of Civil Engineering, Lovely Professional University, Phagwara, Punjab, India.
4Student, School of Civil Engineering, Lovely Professional University, Phagwara, Punjab, India.
Abstract: [+]
Brittle behavior of concrete restrains its use in pavement construction and seismic applications despite the fact that it is economical and offers numerous advantages as far as mechanical properties are concerned. Such applications essentially require a material demonstrating flexible behavior. Repeated application of compressive loads, of dynamic nature, on pavements often result in cracking as well as shrinkage in plain cement concrete (PCC). Synthetic fiber application in concrete mix reduces problem of cracking in plain concrete. Addition of waste synthetic fibers obtained from used plastic bottles has been discussed in this paper which not only solves problem disposal of solid waste but also application of such synthetic fiber improves compressive strength of a paving grade concrete mix. Specimen cubes of concrete containing fiber volume content of 5%, 10% and 15% as well as with no fiber content was casted. Fibrillated and discrete synthetic fiberswere used in the present study. Standard procedures of testing of concrete mixes were used to determine mechanical properties of specimen and on account of the current work, a noteworthy decline in drying contraction and settlement was detected in concrete mixes reinforced with fiber without substantial variation in compressive strength. Use of synthetic fiber was found not only an economic way to improve pavement strength but also suggested an environmental friendly solution to problem of solid waste disposal in urban settlements.
Keywords: Synthetic fiber, Green concrete, Economy of pavement, Shrinkage, Durability.
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Time Series Analysis for Predicting Environmental Earthquakes using ARIMA Model
1J. D. DorathiJayaseeli, 2,*D.Malathi, 3MayankSisodia, 4C. Ruvinga
1Assistant Professor, Dept. of Computer Science and Engineering, SRM Institute of Science and Technology, Kattankulathur, India.
2,*Professor, Dept. of Computer Science and Engineering, SRM Institute of Science and Technology, Kattankulathur, India.
3Student, Dept. of Computer Science and Engineering, SRM Institute of Science and Technology, Kattankulathur, India.
4Lecturer, Dept. of Computer Science and Engineering,SRM Institute of Science and Technology, Kattankulathur, India.
Abstract: [+]
Earthquakes that have occurred worldwide have caused severe damage not only to human, human structure but have led to flash floods, landslides, fires, tsunamis and deformation of ground surfaces .Time series analysis for prediction of earthquake can help to save a lot of lives. Time series is a set of observation conducted and recorded at different point of times. Information is always represented with respect to time as one of its variable. In this paper we have proposed to predict earthquakes by analyzing previous year data. The data we use will be of last five decades. In this paper, the number of earthquakes having magnitude greater than 7 on Richter scale which will happen in future is predicted.
Keywords: ARIMA model, Earthquake prediction, Autocorrelation function, partial autocorrelation function, Time series analysis
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Effects of Adjective Verb Adverb on Sentiment Classification Using Support Vector Machine for Green Communication
1C. Sindhu and 2G.Vadivu
1Assistant Professor,Department of Computer Science and Engineering, SRM Institute of Science and Technology, Kattankulathur, Tamil Nadu, India.
2Professor and Head, Department of Computer Science and Engineering, SRM Institute of Science and Technology, Kattankulathur, Tamil Nadu, India.
Abstract: [+]
Emerging technological trends along with evolution of web communication has not only given space for magnificent amount of data, but also serves as a platform where additional useful information is generated in the form of feedback. It becomes necessary to analyse such suggestions, views or opinions for any kind of decision-making processes. Sentiment Analysis is a task of Natural Language Processing, which analyses the sentiment of user’s opinions and views given out as comments, feedbacks and quotes. The objective of this work is to identify the polarity of the given user reviews. The polarity of text can be neutral, positive or negative. In order to achieve this objective, the methodology consisting of pre-processing, feature selection using SentiWordNet, vector creation and classification using SVM are followed.
Keywords: Opinion Mining, Sentiment Analysis,SentiWordNet, Support Vector Machine,Green Communication.
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Open World Chatbot using Neural Networks in Green Cloud Environment
1Sherwin K Philip, 2Hussain Poonawala and, 3R.Anita
1Student, Department of Computer Science and Engineering SRM Institute of Science and Technology, Kattankulathur, Tamil Nadu , India.
2Student, Department of Computer Science and Engineering, SRM Institute of Science and Technology,Kattankulathur, TamilNadu, India.
3Assistant Professor, Department of Computer Science Engineering, SRM Institute of Science and Technology,Kattankulathur, Tamil Nadu, India.
Abstract: [+]
In present day, Conversational Modelling is one of the foremost fields in Natural Language Processing. This can be attributed to the availability of better hardware and competent software. The processing capacity available has grown exponentially in the last decade. This has contributed to the creation of better chatbots through the years. More effort is required to build a model of this kind. The lack of open source chatbots that can be readily incorporated into specific fields is a concern. Parallel technologies have open-source alternatives for various possibilities. It is important for the field to have similar resources. So, that future effort can be directed towards better performance and mechanisms. We focused on creating a chatbot using a combination of rule-based approaches and neural networks in Green cloud. This helped us to create a chatbot that can also improve with time. It helped to reduce latencies involved in standard approaches, and also helps in quick classification of queries. This work also analysed the possibility of creating open-domain responsegenerators of open-world nature. A successful model of this kind will help in further development of chatbots with specialized features and better responses.
Keywords: Chatbot, Natural Language Processing, human, context, Neural Networks, Seq2seq.
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Verification of Trust Worthiness of the User Data in Green Cloud Environment using Data Auditing Method
1T. Sathya Vishnu and , 2S.Selvakumar
1Student, Department of Computer Science and Engineering, SRM Institute of Science and Technology, Kattankulathur, India.
2Assistant Professor,Department of Computer Science and Engineering,SRM Institute of Science and Technology, Kattankulathur, India.
Abstract: [+]
This paper proposes a technique known as data auditing method which can be used to protect the data which is stored in the cloud from being tampered with, to allow the user to make updates and also to trace and recover corrupted files. It uses a third party auditor (TPA) to constantly monitor the stored files and intimate the user about any changes made to the file or about file crashes. The cloud service provider cannot betrustedalways.Soitraisesachallengetotheintegrityofthedatastoredinthecloud.Inproposed data auditing method, certain unique properties of the file are used to detect any changes made to the data in the cloud. The file is secured by encryption. Further the encrypted file is split into chunks of files into a structure called the Merkle hash tree structure and each chunk of file is stored in a different server. Authentication of the user is done by the CSP by exchange of messages using a secret group key. The proposed method also allows the user to make updates to the stored data. The update may be either static or dynamic in nature. Further the proposed method helps to recover the crashed files automatically. A third party auditor monitors the file crashes and intimates the same to the user. Using the concept of erasure code the crashed file is recovered from the replicaserver.
Keywords: Cloud Service Provider, Divide and Conquer table, Merkle Hash Tree, Third party auditor and Erasure code.
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Node Mobility Prediction in Mobile Ad Hoc Network for Reduced Energy Consumption
1J.Manimaran and 2T. Suresh
1Assistant Professor, Department of Information Technology, Annamalai University, Tamil Nadu, India.
2Associate Professor, Department of CSE, Annamalai University, Tamil Nadu, India.
Abstract: [+]
Efficient node mobility prediction and neighbor discovery in mobile adhoc networks (MANET) is essential to a number of applications including safe communication of data packets. Predicting the mobility of the node accurately in a high dynamic scenario is a most challenging task. The proposed prediction model for estimating the mobility of nodes based on theory of kalman filter. Each node in the network has a mobility prediction model and uses it to predict its location and the location of its neighboring nodes. Node mobility can be predicted based on the nodes’ temporal and spatial movement features. The proposed method follows a reinforcement learning approach by which the prediction model parameters are updated with respect to the error in prediction. This approach increases the overall the accuracy of the prediction. A threshold is fixed to trigger the hello message broadcast through which the neighboring nodes can be discovered. The performance of the proposed algorithm is evaluated by estimating the accuracy, robustness, and efficiency through extensive simulations. When compared with the simulation results of other protocols such as Adhoc On demand Distance Vector (AODV) and Destination Sequence Distance Vector (DSDV). The proposed algorithm requires less hello message broadcast overhead and gives less error rate while discovering the neighboring nodes. In overall, proposed approach performs better when compared to other two protocols considered.
Keywords: Mobile Adhoc Networks, KALMAN Filter, Mobility Prediction, neighbor discovery, Hello message.
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Study on Behavior of Sustainable Ferrocement Overlay Beam using M-Sand
1S.Christi, 2A.Arunraj, 3V.Venkatesan, 4R.Logaraja
1Assistant Professor, Faculty of Civil Engineering, St. Joseph College of Engg., Chennai, India.
2Assistant Professor, Faculty of Civil Engineering, EaswariEngg College., Chennai, India.
3Assistant Professor, Faculty of Civil Engineering, University College of Engg., Ariyalur, India.
4Assistant Professor ,Faculty of Civil Engineering, Sethu Institute of Technology, Kariapatti, India.
Abstract: [+]
The study investigates about the suitability and sustainability of usage of Manufacturing Sand (M-Sand) of ferrocement concrete beams with including and excluding of reinforcement. To achieve this, investigation consists of beams with the dimension of 300mm x 150mm x 1000mm with stable precast formwork of thickness of about 25mm are made. The reinforced concrete beams of the above mentioned dimension are casted for conventional concrete specimens. A welded wire mesh of single layer is used as reinforcement in the beams. After casting, the beams are undergone with curing for 28 days and testing was conducted under two point loading concept. On comparison of the test results it is found that, the ferrocement overlay beam possess more strength, better resistance against cracking and good energy absorption. Hence, ferrocement overlay beam satisfy the higher serviceability limits.
Keywords: Sustainable Ferrocement, M-Sand, Reinforcement, RC beam, Resistance.
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Sustainable Efficiency of Fly Ash with Fibre Composite Matrix on Volume Reduction in Flexural Rigidity
1V. M. Sounthararajan, 2S.Sivasankar, 3K.M. BasanthBabu, 4R. Vinodh Kumar
1Professor, Department of Civil Engineering, CMR Technical Campus, Kandlakoya, Medchal Road, Hyderabad, Telangana, India.
2Associate Professor, Department of Civil Engineering, CMR Technical Campus, Kandlakoya, Medchal Road, Hyderabad, Telangana, India.
3Professor, Department of Civil Engineering, KLN College of Information Technology, Sivagangai, Tamil Nadu, India.
4Assistant Professor, Department of Civil Engineering,, Meenakshi College of Engineering, Chennai, Tamil Nadu,India.
Abstract: [+]
The present study has been attempted the sustainable effects of fibre matrix in Eco-friendly strength development on the size reduction in concrete due to low and higher dosage level of fibres from 0% to 2% (by volume fraction). A high strength mix proportions have designed for various trial and error methods with different thickness of specimen for flexural strength. The various water to binding material ratio (w/b), the addition of superplasticizer, Fine aggregate to coarse aggregate (F/c-ratio) and fly ash exchanged to OPC overall 25% for calculating the compressive strength, flexural strength and UPV. The various experimental test values for strength attainment from the best mix of 20% fly ash with 1.6% of steel fibresobtained the maximum compressive strength of 25.80 MPa& 41.80 MPa for 7 & 28-days respectively. Also, the excellent bending performance in the case 20 mm depth reduction in concrete volume having higher dosage level of fibres has produced the higher stress carrying capacity of the flexural strength of3.90 MPa for 7-days & 5.30 MPa (increased up to 70.96%) for 28-days curing than that of control concrete beam.
Keywords: Compressive Strength, Flexural Strength, Glued Steel Fibres, Size Reduction, Ultrasonic Pulse Velocity
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Renewable Energy Resources Integrated Multi-Objective Optimal Power Flow using Non-Dominated Sort Grey Wolf Optimizer
1Sundaram B. Pandya and 2Hitesh R. Jariwala
1Research scholar,Department of Electrical Engineering, S.V. National Institute of Technology, Surat,Gujarat,India.
2Associate Professor,Department of Electrical Engineering, S.V. National Institute of Technology, Surat,Gujarat,India.
Abstract: [+]
The modern state of electrical system consist the conventional generating units along with the sources of renewable energy. The proposed article recommends a method for the result of single and multi-objective optimal power flow, combining wind and solar output energy with traditional coal-based generating stations. In the first part of the article, three conventional coal based power plants are replaced with wind power plants and the optimal power flow problem of single and conflicting multi-objectives are taken with this scenario. The techno-economic analysis are done with this state of electrical system. In the second part, the two wind power plants and one solar PV power plant are united with the coal based power plants. In proposed work, lognormal and weibull probability distribution functions are also utilized for predicting solar and wind outputs, respectively. A non-dominated sort multi-objective grew wolf optimization method is applied for the optimization issue. The fuzzy decision-making method is used for extracting the finest compromise answer. The outcomes are confirmed through modified IEEE-30 bus test system, which is incorporated with wind and solar generating plants.
Keywords: Wind units, Meta-heuristics, Solar PV energy, Stochastic, Probability Density Function.
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A Study on Ductility Behaviour of Energy Efficient Mud Mortar Walls
1Ravi Ramadoss, 2Kotteeswaran Santhanam, 3,* Durgadevagi Shanmugavel, 4KunduruMalla Reddy
1Associate Professor, Department of Civil Engineering,SRM Institute of Science and Technology,kattankulathurChennai,India.
2Research scholar, Department of Civil Engineering,SRM Institute of Science and Technology,kattankulathur Chennai, India.
3,*Assistant Professor, Department of Civil Engineering,SRM Institute of Science and Technology,kattankulathur Chennai, India.
4PG student, Department of Civil Engineering,SRM Institute of Science and Technology,kattankulathur Chennai, India.
Abstract: [+]
The modern state of electrical system consist the conventional generating units along with the sources of renewable energy. The proposed article recommends a method for the result of single and multi-objective optimal power flow, combining wind and solar output energy with traditional coal-based generating stations. In the first part of the article, three conventional coal based power plants are replaced with wind power plants and the optimal power flow problem of single and conflicting multi-objectives are taken with this scenario. The techno-economic analysis are done with this state of electrical system. In the second part, the two wind power plants and one solar PV power plant are united with the coal based power plants. In proposed work, lognormal and weibull probability distribution functions are also utilized for predicting solar and wind outputs, respectively. A non-dominated sort multi-objective grew wolf optimization method is applied for the optimization issue. The fuzzy decision-making method is used for extracting the finest compromise answer. The outcomes are confirmed through modified IEEE-30 bus test system, which is incorporated with wind and solar generating plants.
Keywords: Mud mortar, Masonry walls, Energy efficient, Analytical techniques, Ductility Behaviour.
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An Optimized Assistive Epileptic Seizure Detection System for Human Environmental Conscientiousness
1R. Vallikannu, 2T.VenkateshKanna, 3G.Vimala Rani, 4K. Sakthidasan@ Sankaran
1,4Associate Professor,Department of Electronics and Communication Engineering, Hindustan Institute of Technology and Science, India.
2Assistant Professor, Department of Electronics and Communication Engineering SKR Engineering College, Poonamalee, Chennai, India.
3Assistant Professor, Department of Electronics and Communication Engineering, Chennai,India.
Abstract: [+]
In this paper, an efficient approach for the classification of brain disorder named epileptic seizure identified using different techniques is proposed. Recently, Computer Aided Diagnosis (CAD) system is developed to diagnose various abnormalities in the medical field at the earliest with better accuracy. A CAD system for epileptic seizure diagnosis is developed using Electroencephalogram (EEG) signals based on Dual Tree M Band Wavelet Transform (DTMBWT) and Support Vector Machine (SVM) classifier. Another method of detection of EEG signals are extracted using EWT and then features from the different modes are extracted. Then, classification is done by a typical machine learning technique, Support Vector Machine (SVM). Based on the information, epileptic seizure can also be easily identified using, Translation Invariant Wavelet Transform (TIWT) based EEG signal classification is presented. DTMBWT provides more selective in the frequency domain than their dyadic wavelet transform. From the experimental results, it is observed that the proposed system is feasible for EEG signal classification as it provides high degree of sensitivity for environmental consciousness.
Keywords: Wavelet Transform, Electroencephalogram, SVM, Artificial Neural Network, Environmental Consciousness
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Development of Wind-Solar Hybrid System using Multi Input KY Boost Converter Results from the Simulation Model
1M.Pushpavalli and 2N.M.JothiSwaroopan
1Research Scholar, Department of EEE, Sathyabama Institute of Science and Technology, Chennai, India.
2Professor, Department of EEE, RMK Engineering College, Chennai, India.
Abstract: [+]
A hybrid connection of clean energy sources like solar and wind energy with a new novel multi input KY converter is used to extract the input from this alternative energy sources and delivered to the AC load with the help of inverter arrangement. This system is analyzed using the simulation model of hybrid renewable energy sources, 1.under open loop condition 2.under transient conditions 3.under closed loop condition. The closed loop system used to maintain constant and quality power with the support of the Proportional Integral (PI) controller. The steady state error and time response parameters are taken into basis for the analysis of controller. The entire system gives the constant output on the load side if any one of the renewable energy is disconnected.
Keywords: Multi input KY converter, Hybrid renewable energy, PI controller,Simulation model, closed loop system.
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MARK42: The Secured Personal Assistant using Biometric Traits Integrated with Green IOT
1M.Gayathri, 2C.Malathy, 3Siddharth Singh
1Assistant Professor, Department of Computer Science and Engineering, SRM Institute of Science and Technology, Chennai, Tamil Nadu, India.
2Professor, Department of Computer Science and Engineering, SRM Institute of Science and Technology, Chennai, TamilNadu, India.
3Student, Department of Computer Science and Engineering, SRM Institute of Science and Technology, Chennai, TamilNadu, India.
Abstract: [+]
Ongoing advances in Artificial Intelligence and Machine Learning have made a domain for creating clever individual aide bots verified with biometric characteristics. Mark42 is an endeavour to utilize Artificial Intelligence with picture acknowledgment for making it verified and play out the errands as requested by the Human. The venture is completely founded on computerized reasoning, machine learning and biometric attributes like facial acknowledgment incorporated with OpenCV. The innovation AIML is utilized for example coordinating of discourse, picture acknowledgment for facial acknowledgment. It can be integrated with green IOT (Internet of Things) and Machine Learning to make it further developed in the field of innovation. Digitization conveys new potential outcomes to facilitate our day by day life exercises by methods for assistive innovation. Google assistant, Alexa, cortana use machine learning, common language preparing and different incitation components to detect and impact nature. Mark42 is a pushto use by counterfeit methods smart voice-empowered PC bots with picture acknowledgment making it verified and play out the assignments as requested by the client. The technology AIML is used for pattern matching, image recognition for facial recognition .It aims to integrate with green IOT(Internet of Things) and Machine Learning to make it more advanced in the field of technology. So, by joining all the modules, we built up a personal assistant which can perform any functions ordered by individual and is fully secured.
Keywords: Artificial Intelligence, Voice Recognition, Personal Assistant, AIML, Green IOT.
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