IJSRET Volume 5 Issue 5, Sep-Oct-2019

Uncategorized

Suitability and Performance of Bubble Deck Slab: A
Review

Authors:- Victor Osaze Francis

Abstract:- Slabs are of extreme importance in any structural construction, as they are primary members. However, about 80% of the concrete in the middle of conventional solid slab are of little structural importance. Bubble deck slab (also known as voided slab) is a phenomenon that removes the structurally-inefficient concrete in the middle of slab by replacing it with high-density spherical plastic balls. This solution will solve the problems of high cost, shorter span, longer construction duration, and environmental pollution associated with the use of traditional slab. This review study investigates how bubble deck slab compares with traditional solid slab in everyday use, under loading condition, and consequently making informed recommendations to minimize the inadequacies of the bubble deck slab system.

A Secure Iot Communication against Reactive Jamming Attack in CRN Subtitle
Authors:- Nitesh Yadav, Dr. Abhishek Bhatt

Abstract:- The number of nodes or IoT devices is sense and control the communication. The primary users are more trustworthy than the secondary users, since these are authorized or licensed users. The purpose of CRN is to intellect the spectrum band and identify the free channels which will be used for un-authorized access user or attacker that flooded the unwanted packets to next node or destination node in network. CRN get better the efficiency of spectrum handling, but it also performance degrades due to new security threats with jamming attacks during the spectrum sensing process, which can corrupt the effectiveness of spectrum sensing. In this research we proposed security scheme against packet flooding Jamming attack. The performance is vitiated in high, medium and low jamming probability and applies the proposed scheme to reduces the flooding. The hop count value based on forward and reverse mechanism of detection and provides secure communication in IoT CRN . The reliability of link is equivalent from the forward and reverse path consistency i.e. more in proposed security scheme as compare to with Batch based SA-MAC scheme. The proper packet forwarding in particular link and the reverse and forward is counted properly but correctly, current node are in suspicious. The record value of hop count is based on the packets receiving but heavy flooding is also disturb it at starting connection establishment procedure.

A Review on Efficient Approach for Scheduling Tasks in Cloud Computing Environments
Authors:- Anjali Kumari, Manoj Lipton

Abstract:- Nowadays, Cloud computing is widely used in companies and enterprises. However, there are some challenges in using Cloud computing. The main challenge is resource management, where Cloud computing provides IT resources (e.g., CPU, Memory, Network, Storage, etc.) Based on virtualization concept and pay-as-you-go principle. The aim of this proposed algorithm is to minimize the completion time and cost of tasks, and maximize resource utilization. The performance of this proposed algorithm has been evaluated using Clouds toolkit. It schedules the entire task within a particular deadline while increasing the system performance. The cloud-sim simulator is used for evaluating the task scheduling like file uploading. In this module we have to initialize the performance of this proposed algorithm has been evaluated using Cloud Sim toolkit. It schedules the entire task within a particular deadline while increasing the system performance. Here we propose a VM Placement aims to distribute the dynamic workload smoothly to all the hosts in the cloud to gain an improvement in both the utilization of Resources and the speed of execution time. It allocates the incoming tasks to all available VMs. In order to achieve balancing and avoid congestion.

A Review on Parametric Study and Optimization of H-Type Finned Tube Heat Exchangers using Taguchi Method
Authors:- M.Tech. Scholar Ankit Raj, Asst. Prof. Brijendra Kumar Yadav

Abstract:- In order to improve the heat exchange efficiency and extend surface heat transfer, H-type finned tubes have been widely used in boilers and waste heat recovery in recent years. H-type finned tubes are derived largely from rectangle finned tubes. Because of their unique groove structure on the fin surface, H-type finned tubes have excellent anti-wear and anti-fouling performance.

Parametric Study and Optimization of H-Type Finned Tube Heat Exchangers using Taguchi Method
Authors:- M.Tech. Scholar Ankit Raj, Asst. Prof. Brijendra Kumar Yadav

Abstract:- Fin and- tube heat exchangers are the typical equipment with extended surface and widely used in many engineering applications, such as air conditioning units, compressor intercoolers, boiler economizers, etc. Heat exchangers are widely used in various industries, such as space heating, refrigeration, air conditioning, power stations, chemical plants, petrochemical plants, petroleum refineries and waste heat recovery process. A heat exchanger is a device used to transfer heat between one or more fluids, which may be separated by a wall to prevent mixing or may be in direct contact. In this study, a parametric study is performed to investigate the effects of geometric parameters on the heat transfer characteristic and the flow friction characteristic of H-type finned tube heat exchangers. The effectiveness of various parameters on the objectives is evaluated and the geometric structure of the H-type finned tube is optimized for the best performance using Taguchi method. The results show that fin height, transversal tube spacing and longitudinal tube spacing is statistically significant to the flow performance characteristics of the H-type finned tube. Hence, these three parameters must be firstly considered and paid more attention during the design and optimization of H-type finned tube heat exchangers. Analysis of variance also further validates that intuitive analysis is correct.

Review Thermal Performance Enhancement of Double Pipe Heat Exchanger With Wavy
Authors:- Research Scholar Kundan Kumar, Asst. Professor Sujeet Kumar Singh

Abstract:- In present study, wavy-tape inserts are introduced to help establish swirl flow inside a straight pipe. Three-dimensional models will be created to simulate the flow and heat transfer characteristics inside the pipe with wavy-tape inserts. CFD simulation will be carried out to investigate the effects of different tape angles on the thermal-hydraulic performance of pipe. The effect of wavy strip tabulators with different angles on the NU, friction factor and thermal performance enhancement factor of double tube heat exchanger was studied.

Thermal Performance Enhancement of Double Pipe Heat Exchanger with Wavy Tape
Authors:- Research Scholar Kundan Kumar, Asst. Professor Sujeet Kumar Singh

Abstract:- CFD simulation will be carried out to investigate the effects of different tape angles on the thermal-hydraulic performance of pipe. The effect of wavy strip tarbulators with different angles on the NU, friction factor and thermal performance enhancement factor of double tube heat exchanger was studied. The configuration, gain in heat transfer augmentation, cost in pressure loss, generated swirl flow character, heat transfer enhancement mechanism, optimal geometric parameters and overall thermal hydraulic performance of wavy-tape are successively expounded in this work. It was seen that the results obtained from the simulation for the plain tube are in a good agreement with those predicted by the standard correlations. It is noted that, in this case the discrepancy between the results is less than 9% for Nusse. lt number and 11% for the friction factor. The wavy-tape induces significant swirl flow inside the pipe. Particularly, pairs of tangential vortices are generated on the flanks of the tape. These vortices break the thermal boundary layer and intensify the fluid advection, which consequently lead to highly localized heat transfer enhancement on the pipe surface.

A Review on Optimization of Heat Transfer in Six-Start Spirally Corrugated Tubes using Taguchi Method
Authors:- M.Tech. Scholar Sanjoo Sahani, Professor Poonam Kumar Agade

Abstract:- Heat transfer devices have been used for conversion and recovery of heat in many industrial and domestic applications. Over five decades, there has been concerted effort to develop design of heat exchanger that can result in reduction in energy requirement as well as material and other cost saving. Heat transfer enhancement techniques generally reduce the thermal resistance either by increasing the effective heat transfer surface area or by generating turbulence. Sometimes these changes are accompanied by an increase in the required pumping power which results in higher cost. The effectiveness of a heat transfer enhancement technique is evaluated by the Thermal Performance Factor which is a ratio of the change in the heat transfer rate to change in friction factor.

Optimization of Heat Transfer in Six-Start Spirally Corrugated Tubes using Taguchi Method
Authors:- M.Tech. Scholar Sanjoo Sahani, Professor Poonam Kumar Agade

Abstract:- In this study, a parametric study is performed to investigate the effects of geometric parameters on the heat transfer characteristic, the flow friction characteristic and overall thermal-hydraulic performance of corrugated tube heat exchangers. The effectiveness of various parameters on the objectives is evaluated and the geometric structure of the corrugated tube is optimized for the best overall thermal-hydraulic performance using Taguchi method. The geometric parameters considered in the model include corrugation height and corrugation pitch. The results show that corrugation height have dominant influence on heat transfer characteristic with contribution ratios of 74.79% respectively while corrugation pitch has minor effects.

Development of Fluid Transfer System (FTS)
Authors:- Abutu Joseph, Oluleye, Atinuke Modupe, Oladosu, Lekan Temidayo, Emmanuel, Abakpa James, Lawal, Albert Sunday

Abstract:- In this study, a fluid transfer system was developed using standard design procedure outlined in literatures. The effect of viscosity on the flow rate of a fluid (water) from different sources was also investigated. The development of the system involved design calculations, fabrication of metal base as well as tank guides. Similarly, plumbing of the system was done using polyvinyl chloride (PVC) pipes, gates valves, other pipe fittings and a centrifugal pump. The Reynolds number and the fluid pressure drop was also determined to investigate the nature of fluid flow through the system and the pressure drop in the motion of the transferred fluid respectively. The results showed that the flow through the system is turbulent since the Reynolds number (Re) 4000 (Re = 9160) while fluid pressure drop results indicate that there was more drop in fluid pressure at the longer lengths of pipe compared to the shorter ones. Testing of the system was also conducted sing three sources of water (rain, tap and stream) and the experimental result revealed that rain water has a higher volume flow rate compared to other sources of water with stream water having the least rate of flow.

Human Engineering in Tractor Design- A Review
Authors:- Lecturer, Anil Kumar

Abstract:- In India agriculture is one of the important sectors which provide local employment and have significant contribution in our GDP. The large population in our country needs various types of food and other agriculture products. As the land available with the country for cultivation is limited therefore in order to increase agriculture output we should make best use our available cultivable land using farm equipment’s and implements. Tractor is one of the main reasons which helped to increase productivity of farming sector reducing dependency of our farmers on animals for tillage and irrigation activities. Tractor was one of the main components which helped in making India self-sufficient in producing food items for its large population and creating green revolution in our country. Unwanted accidents involving farm equipment and machinery especially involving tractors continue to happen. One of the reasons for these accidents is driver fatigue and non-implementation of human factors while designing tractors. There are many human factors which enhance the use of tractor in farming activities without any troubles to the driver/ Operator making it easy to use.. This paper will explain the details of those human factors which need to be taken care while designing a tractor.

K-Fold Cross-Validation Machine Learning Approach on Data Imbalance for Wireless Sensor Network
Authors:- Mandvi Tripathi, Ankur Taneja

Abstract:-Machine learning is used to teach machines how to handle the data more efficiently. Sometimes after viewing the data, we cannot interpret the pattern or extract information from the data. In that case, we apply machine learning with the abundance of datasets available. The purpose of machine learning is to learn from the data. Many studies have been done on how to make machines learn by themselves. Data imbalance problem become greatest issue in for machine learning algorithm. Imbalance problem occur where one of the two classes having more sample than other classes. The most of algorithm are more focusing on classification of major sample while ignoring or misclassifying minority sample. The most of algorithm are more focusing on classification of major sample while ignoring or misclassifying minority sample. The minority samples are those that rarely occur but very important. There are different methods available for classification of imbalance data set which is divided into three main categories, the algorithmic approach, data-pre-processing approach and feature selection approach. We will apply on wireless imbalance data to identify correct information. In this research work systematic study for define which gives the right direction for research in class imbalance problem. After apply our K-fold cross validation Technique for imbalance to balance data and a random forest algorithm a classification approach for balanced data we achieved a good accuracy rate percentage.

Comparative Analysis of Multi Leaf Spring and Composite Leaf Spring using Finite Element Method Under Static Loading Condition
Authors:- M. Tech. Scholar Narendra Kumar Verma, Asst. Prof. Mukesh Hemnani, Rakesh Sharma

Abstract:- The work is carried out on the front end multi leaf spring of a commercial vehicle. In this analysis the conventional steel leaf spring is tested for static loading condition and results are compared with a virtual model of composite multi leaf spring. The material used for conventional steel leaf spring is 65Si7 (BIS) and for composite leaf spring E-Glass/ Epoxy. The CAD model of the multi leaf spring is prepared in Solid works 16 and analyzed using ANSYS 16. The FE analysis of the leaf spring has been performed by discretization of the model in infinite nodes and elements and refining them under defined boundary condition. Bending stress and deflection are the target results. A comparison of both i.e. experimental and FEA results have been done to conclude.

A Review on Thermal Performance Analysis of Simple Organic Rankine Cycle with and without Internal Heat Exchanger using EES Code
Authors:- M. Tech. Scholar Vinay Yadav, Asst. Professor Brijendra Kumar Yadav

Abstract:- Energy efficiency and conservation are gaining attention due to increasing trend of greenhouse gas emissions. Increasing energy demand urges the researchers to design energy efficient, environmental friendly and commercially viable systems. Integration of thermal systems (hybrid systems) improves the energy efficiency, fuel utilization factor and reduces the carbon emissions. Integration of renewable energy sources avail the advantage of decentralized applications. The study investigates the effects of internal heat exchanger on the thermo-economic performance of organic Rankine cycle (ORC) configurations based on fluid properties and heat sources.

Thermal Performance Analysis of Simple Organic Rankine Cycle with and without Internal Heat Exchanger using EES Code
Authors:- M. Tech. Scholar Vinay Yadav, Asst. Professor Brijendra Kumar Yadav

Abstract:- In this study, performance of a simple organic Rankine cycle (S-ORC) and organic Rankine cycle with internal heat exchanger (IHX-ORC) have been compared. Two ORC configurations are investigated as follows: S-ORC and IHX-ORC. With respect to different ORC configurations, the first law efficiency, second law efficiency and net work done will be compared under the conditions of different heat source temperatures and heat source flow rates. The effects of working fluid type, heat source temperature domains on the system, thermo-economic performance will be investigated. Furthermore, the effects of pinch point temperature difference in IHX on the IHX-ORC system are analyzed.

A Review on Spectrum Efficiency Improvement for Quasi-Constant Envelope OFDM

Authors:- M. Tech. Scholar Rishabh Shukla, Hod. Dr.Vineeta Saxena Nigam

Abstract:- Benefiting from low peak-to-average power ratio (PAPR), constant envelope OFDM (CE-OFDM) is a promising technique in coherent optical communication. However, the spectrum efficiency of CE-OFDM is only half of conventional coherent optical OFDM, which restricts its application. We proposed a novel quasi-constant envelope OFDM (Quasi-CE-OFDM) scheme with in-phase/quadrature (I/Q) modulator. Furthermore, a phase demodulation scheme based on Taylor series expansion is performed to reduce calculation complexity and avoid phase ambiguity. Simulation results show that the proposed scheme could double the spectrum efficiency effectively without losing the advantage of high nonlinearity tolerance.

Simulation Result of BER and OSNR Performance for Quasi-Constant Envelope OFDM

Authors:- M. Tech. Scholar Rishabh Shukla, Hod. Dr.Vineeta Saxena Nigam

Abstract:- Quasi-Constant Envelope OFDM transmits dual-stream simultaneously to improve the spectral efficiency of Constant Envelope OFDM. It can provide high data rate links and maintain a low PAPR to reduce the distortion caused by the nonlinear power amplifier. Thus, the quasi-constant envelope OFDM is suitable for satellite communication system. However, the carrier frequency offset (CFO) in satellite communication must be estimated and compensated before the demodulation. In this paper a CFO estimation scheme is proposed for quasi-constant envelope OFDM satellite system under additive white Gaussian noise (AWGN) channel. Since the null subcarrier at the transmitter can be considered as the prior information at the receiver, this null subcarrier can be used to estimate the CFO through phase demodulator and inverse discrete Fourier transform (IDFT) module at the receiver. Mathematical analysis reveals that the ideal estimation range of normalized CFO is nearly half of the size of IDFT under AWGN channel. Simulation results show that the proposed scheme performs well at moderate and high signal-to-noise ratio (SNR) conditions.

Grid-Connected Pv Inverter with Inductive Dc Link for Three-Phase Transformer Less
Authors:- M.Tech. Scholar Sameer Goel , Professor Pragati Priya ,
Professor Manju Gupta

Abstract:-In the last decade solar power technologies became less costly and additional efficient, that have created it to an attractive resolution, being cleaner and additional environmentally friendly energy resource than traditional ones like fossil fuels, coal or nuclear. yet, a PV system continues to be rather more expensive than traditional ones, because of the high producing prices of PV panels, however the energy that drives them -the lightweight from the sun- is free, offered nearly everyplace and can still be present for many years, long in spite of everything non-renewable energy sources are depleted. One in every of the main benefits of PV technology is that it’s no moving components. Therefore, the hardware is very robust; it’s a long time period and low maintenance necessities. And, most significantly, it’s one resolution that gives environmentally friendly power generation. The efficiency of economic PV panels is around 15-20%. Therefore, it’s important that the power created by these panels isn’t wasted, by using inefficient power electronics systems. The efficiency and reliability of each single-phase and 3 part PV inverter systems is improved using transformer less topologies, however new issues related to escape current and safety need to be dealt with.

A Review on Grid-Connected Pv Inverter with Inductive Dc Link for Three-Phase Transformer Less
Authors:- M.Tech. Scholar Sameer Goel , Professor Pragati Priya ,
Professor Manju Gupta

Abstract:- The need for cleaner surroundings and also the continuous increase in energy desires makes localized renewable energy production more and additional necessary. This continuously-increasing energy consumption overloads the distribution grids in addition because the power stations, so having a negative impact on power availability, security and quality [1]. One among the solutions for overcoming this can be the Distributed Generation (DG) system. dg systems using renewable energy sources like solar, wind or hydro, have the advantage that the ability is made in shut proximity to wherever it’s consumed. This manner the losses because of transmission lines aren’t present.

Fabrication of Al 7068 Reinforced with Tur Husk Ash (THA) and Alumina Hybrid Metal Matrix Composite by Powder Metallurgy and Evaluating Its Microstructure and Mechanical Properties
Authors:- Mohammed Amair Sohail, Associate Prof. B.S.Motgi, Prof. Dr. G.K. Purohit

Abstract:- The applications of metal matrix composites are increasing day by day due to high strength to weight ratio. The hybrid aluminum composites can be considered as an outstanding material where high strength and wear-resistant components are of major importance, predominantly in the aerospace and automotive engineering sectors. In the present work , Al7068 reinforced with tur husk ash(THA) and Al2O3 hybrid metal matrix composite is prepared from sintering of mechanically alloyed powder (ball milling) in powder metallurgy process. Different combinations of compositions (Al7068 reinforced with 0%,4%,8%,12% 0F THA and Al2O3) were taken with total 16 combinations. Hardness was found to be increasing with increasing percentage of Al2O3 but was decreasing with increasing percentage of THA. The microstructure of the composites was studied.

Dc Micro grid Monitoring and Protection
Authors:- Veerpratap Meena, Dr. Vinay Pant

Abstract:- With the proliferation of distributed energy resources (solar, fuel cell, etc.) and DC loads, the installation and deployment of DC microgrid is seeking more attention in the contemporary paradigm of power system evolution. DC microgrid adds advantage of overall system efficiency increase due to decrease in the conversion losses and ohmic losses. Also, energy storage components are directly connected to the DC bus with the help of bidirectional converters, thus increasing the reliability of the system. However, this stochastic integration of renewable and dynamic operations of controlling poses protection problems for the DC microgrids. The main challenge in DC micro grid protection and control operations is the lack of standards and guidelines. The fault clearing time is also affected due to the lack of inertia and resistive of nature of the network. There is no zero crossing in DC system which affects the operation of the circuit breaker for fault isolation. The presented state-of-art is focused on identification of types of fault protection device, challenges in the DC microgrid system, architecture of DC microgrid controller strategies and different protection techniques are also discussed. This paper review various types of parameter estimation techniques are discussed in detail to improve the protection scheme. Superimposed current based unit protection scheme, protection using the oscillation frequency and transient power, and parameter estimation approach are help to determine the fault location and type of fault.

Investigation of Microstructure and Mechanical Properties of Hybrid Composite Aluminum 7068 Reinforced with Tur Husk Ash (THA) and Silicon Carbide (Sic)
Authors:- Shaikh Mohammad Tayyab Raza, Associate Prof. B.S.Motgi, Prof. Dr. G.K. Purohit

Abstract:- This paper deals with the fabrication of Al-7068 composites manufactured by powder metallurgy route reinforced with different weight percentages of tur husk ash (THA) and SiC A low pressure of 400 MPa was applied for compacting the composites and sintered at a temperature of 720oC for three hour. TG and XRD analysis of tur husk ash (THA) was done to obtain its chemical composition. SEM and EDX analysis was done to study the micro-structural behavior. Hardness and compression test were carried out. The hardness has been improved by adding the weight percentage of SiC but seems to be crash by adding the weight percentage of tur husk ash (THA). The compressive strength was found to be varying.

E-Mail Spam Classification Using Long Short-Term Memory Method
Authors:- M.E. Scholar (CSE) Shripriya Dongre, HOD (CSE) Prof. Kamlesh Patidar

Abstract:- In recent years, the single-modal spam filtering systems have hade high detection rate for text spamming. To avoid detection based on the single-modal spam filtering systems, spammers in jet junk information into the multi-modality part of an email and combine them to reduce the recognition rate of the single-modal spam filtering systems, there by implementing the purpose of evading detection.In view of this situation,a new model called text based data set module architecture based on model fusion (MMA-MF) is proposed, which use a text based dataset fusion method to ensure it could effectively filter spam whether it is hidden in the text. The model fuses a Convolution Neural Network (CNN) model and a Long Short-Term Memory (LSTM) model to filter spam. Using the LSTM model and the CNN model to process the text parts of an email separately to obtain two classification probability values, then the two classification probability values are incorporated into a fusion mode lt identify whether the email is spam or not. For the hyper parameters of the MMA-MF model, we use a grid search optimization method to get the most suitable hyper parameters for it, and employ a k-fold cross-validation method to evaluate the performance of this model. Our experimental results show that this model is superior to the traditional spam filtering systems and can achieve accuracies in the range of92.64–98.48%.

Review Paper on Analysis & Conduction of Certificate Examination in Cloud Environment
Authors:- Prof. C.U Chauhan, Priyanka Gupta, Snehal Gondane, Omeshwari Bobade, Roshan Gabhane, Sachi Gedam

Abstract:- Traditional Exam cell activity mostly includes a lot of manual paper work. The aim of the project is to build a centralized system. So that all the examination activities can be done effectively and efficiently for both students and admin . The final system would constitute a computerized module aimed at replicating offline exam cell process. The system is a new concept which came into existence because of a large amount of data being on paper. The automated system for exam cell department will benefit both the students as well as exam cell department staff to easily handle the entire task related to exam cell in contrast to the existing manual system. This system will make the procedure of exam cell in an organized manner. The admin can also generate the Transcripts and Letter of Recommendation, and can also verify, confirm the photocopy and revaluation of each applied student by using the CLOUD COMPUTING Technology.

Grid Tied One Megawatt Solar Photovoltaic Power Plant at Bhopal: A Feasibility Study
Authors:- M.Tech Scholar Lalit Kumar Goel, Prof. (Dr) Mukesh Pandey, Associate Prof. Dr Anurag Gour

Abstract:- With about 300 clear and sunny days in a year, the calculated solar energy incidence on India’s land area is about 5000 trillion KWh per year. India is densely populated and has been blessed with high solar insulation; it is a best combination for harnessing solar power. The way India is tapping the solar energy, the country is already a leader in solar power generation. In the solar energy sector, large projects have been proposed, and a 34,000 km2 area of the Western Desert has been earmarked for solar power projects, sufficient to generate 500 GW to 2,000 GW. Ministry of New and Renewable Energy(MNRE) has released the Jawaharlal Nehru National Solar Mission (JNNSM) Phase 2 Draft Policy, our Government is planning to install 10GW of Solar Power, and of this planning, 4 GW is under the central govt scheme and the remaining 6GW under state govt schemes.

Heart Rate Measurement using The Change of Color of Skin over Time Due To Blood Flow
Authors:- Soumyadip Chattopadhyay

Abstract:- Heart Rate is an important medical parameter in case of maintaining one’s health. There are some apps available in the market that can calculate the heart rate of a person by using a Smartphone camera. No external pulsometers are required. But, these applications also consists of different issues in measuring proper pulse, like motion, noise in capturing the video, premature ventricular contraction and many more. Also some human errors like low or high pressure on the mobile camera, misplacement of finger over the camera leads to countable amount of error in measurement of Heart Rate. In our case of study, we have developed an application using existing algorithms that can cut down these errors up to an extent and gives the user almost error less Pulse of him or her by using the video of change of color of skin over time. We have captured video to get the PPG using smart phone and used tan 1st order Butterworth (IIR) band pass filter with frequency domain analysis and Hann windowing for leakage reduction.

Production of High-Strength Concrete by Utilizing Volcanic Pumice Waste in KSA, Jazan Region: Particle Size Effect
Authors:- Abdullah M. Zeyad, Saeed A. Al-Qahtani, Hussain A. Al-Shehri

Abstract:- Volcanic areas are scattered in several areas of Saudi Arabia. This spread contributes to the diversity of the sources of volcanic substances and their chemical structures. This study assesses the use of volcanic pumice powder (VPP) obtained from volcanic residues in the western region of Saudi Arabia to produce high-strength concrete (HSC). Chemical analysis reveals that these volcanic residues consist of 76.01% pozzolanic materials. The VPP was used to replace part of the cement content of HSC, and the effects of replacing 10% and 20% of the cement mass with VPP on HSC properties were studied. In particular, the effects of granules measuring 4.96 µm (4VPP) and 63.6 µm (60VPP) in size were observed. The compressive strength, flexural strength, indirect tensile strength, porosity, and water absorption rate of the samples were determined after 7, 28, and 90 days of curing. The compressive strength of HSC samples containing 10% (4HSC10) and 20% (4HSC20) 4VPP improved by 12.0% and 16.6% compared with those of 60HSC10 and 60HSC20, respectively, after 28 days of aging. Water absorption decreased when the main particle size was 4 mm compared with that when the main particle size was 60 mm. The water absorption rate decreased by 12% after 28 days of curing when 20% of the cement mass was replaced with 4VPP.

Estbt- Enhance Secure Trust Based Transmission for Mobile Ad-Hoc Network
Authors:- Shailendra shrivastava, Sushma Kushwaha

Abstract:- Mobile Ad-Hoc network is most popular in current scenario but when this network popular increased as well as so many attacked or unauthorized access increased. In this article will analysis about secure and trust based communication. In any case, constructing a trust model that receives recommendation by different hubs in the system is a testing issue because of the danger of dishonest recommendation like bad-mouthing, ballot-stuffing and collusion. The attacks caused by badly behaving nodes when increasing recommendations in the existing trust models. A recommendation based trust model demonstrate with a protection plan, which uses clustering technique to powerfully filter out attacks related to dishonest recommendations between certain time in view of number of cooperation, similarity of data and closeness between the hubs. The model is observationally tried under a few mobile and separated topologies in which hubs encounter changes in their neighborhood prompting regular course changes. The experimental investigation exhibits vigor and precision of the trust demonstrate in a dynamic MANET condition. This model can be extended by weighting recommendations based on time and location to mitigate the influence of location and time dependent attacks.

Classifying Vehicle Activity Patterns from Iot Device & Remote Monitoring System
Authors:- M.Tech. Scholar Prachi Pandey, Asst. Prof. Ankur Taneja

Abstract:- By using the Internet of Things Technology can greatly enhance the performance, monitoring and maintenance of the vehicle. In this paper analysis is based on the Implementation of new cost effective methodology based on IoT to monitor vehicle health remotely for performance evaluation. This will facilitate preventive maintenance, fault detection, historical analysis of the vehicle in addition to real time monitoring. In this paper analysis The vehicle consist of onboard GPRS module which collect the CAN data from the CAN device fitted on the vehicle and send it to the remotely located server. Second phase work focus on Monitoring the temperature of the vehicle system avoid sparking of the vehicle and also providing the fuel consumption & Battery information of display and third phase of implementation using of GSM Module when vehicle is provide the unusual activity & driver is facing any problem then it give message to the owner of vehicle. In this proposed IoT system that allows the owner to monitor the data provided by the sensors available on a vehicle, and to control processes automatically, anytime and anywhere using cloud system analysis. We are Using Support-Weight Approach for classification of IoT Data, after that we compared some parameter like Computation Cost, Computation Time, Accuracy etc.

Parking System for Smart City using Internet of Thing
Authors:- M.Tech. Student Monika Bijore, Asst. Prof. Monika Raghuwanshi

Abstract:- – Recently parking has become a serious issue and even worse, because of the increasing number of automobiles everywhere. In this paper we propose an IoT based guidance for user as well as Upcoming self-driving vehicles to search parking space for the vehicle. it also help user to choose the right vehicles to travel according to the parking spaces available to the destination point. it provides an intelligent guidance to the user, user can choose their travelling vehicle as two wheelers, four wheelers or public transport according to the traffic density. It aims to develop an intelligent parking guidance system. which reduces difficulty in conventional parking system. The system can monitor the state of every parking slot by deploying a sensor node on the slot. Accordingly, sensor senses the status of parking slot and sends status to central node server controller. The controller unit collects the data from all sensor node and upload to the server using http protocol where user can check the parking status from anywhere using internet and any browser. The system can also integrate with the artificial intelligence network like google assistance and self-driving car. Google assistance assist user to choose right vehicle according to the traffic density and parking space available at the destination point. User can simply see the space available by clicking in google map of their destination building or social parking.

A Study on Design of Single Sided Linear Induction Motor and Controlling with Voltage Source Inverter Fed Convertor
Authors:-M. Tech. Scholar S. Venkata Sai Kumar

Abstract:- Now-a-days, Linear Induction Motors are widely used, in many industrial applications like transportation, conveyor systems, actuators, material handling, pumping of liquid metal, and sliding door closers, etc. The advantages of linear motor is that it requires no mechanical rotary-to-linear converters, high efficiency and economical. The linear induction motor is very useful at places requiring linear motion since it produces thrust directly and has a simple structure, easy maintenance, high acceleration/deceleration and low cost. Linear Induction Motor is basically a rotating squirrel cage induction motor opened out flat. Instead of producing rotary torque from a cylindrical machine it produces linear force from a flat one. The stator of the linear induction motor acts as the primary and the rotor of the linear induction motor acts as the secondary of linear induction motor. As a result, the stator is built with steel laminations and rotor is built with conductor sheet and black iron. The single sided linear induction motor construction is easy and low cost. The working principle of single sided linear induction motor is same as the conventional induction motor. In the secondary eddy current is generated due to an induced EMF. The EMF is induced because of relative velocity between travelling magnetic flux and secondary. The thrust force or linear force is produced due to interaction between travelling flux and eddy current. In this paper, a single sided linear induction motor design parameters are analyzed and prototype has been designed and motor will be control with Voltage Source Inverter Fed Convertor.

Grid Tied One Megawatt Solar Photovoltaic Power Plant at Bhopal: A Study on Performance Analysis Including Efficiency Calculation
Authors:- Research Scholar Lalit Kumar Goel, Prof. (Dr) Mukesh Pandey, Assistant Prof. Dr Anurag Gour

Abstract:- The growing energy demand in developing nations has triggered the issue of energy security. This has made essential to utilize untapped potential of renewable resources. India is focusing on development of its own sources of energy. For PV panels, the efficiency of converting solar energy to electricity is around 7%.Average solar radiation incident over India varies from 4kWh/day – 7 kWh/day. Grid connected PV systems have become the best alternatives in renewable energy at large scale. Performance analysis of these grid connected plants could help in designing, operating and maintenance of new grid connected systems. A 1MW photovoltaic grid connected plant commissioned at Bhopal is one of the commercial solar power plants with the site receiving a good solar radiation of 5.61 kWh/m2/day and annual temperature of about 31.2 oC . The plant is designed to operate with a fixed tilt. In this study the solar PV plant aspects along with its annual performance is elaborated.

A Review on Implementation of Queuing Theory Along with Lean Technique in Manufacturing Industry
Authors:- M.Tech. Scholar Bharat, Professor Vipul Upadhayay, Yogesh P Ladhe

Abstract:- Within the combinatorial scheduling community, there has been an increasing interest in modeling and solving scheduling problems in dynamic environments. Such problems have also been considered in the field of queuing theory, but very few research take advantage of developments in both areas, and previous surveys on dynamic scheduling usually make no mention of queuing approaches. In this research, we provide an overview of queuing theoretic models and methods that are relevant to scheduling in dynamic settings.

Automobile Technology A Study of Past, Present and Future
Authors:- Md. Shakil Hossain

Abstract:- This paper highlights the journey of automobile technology since the very beginning of invention to the present, also discuss the future development of this technology. Automobile technology is always of interest to those people who like to know and get touched with new invention of engineering. This paper can help one to recognize the development in vehicle technology for the past, present, and future. Lot of changes happened in automobile technology since 19th century, when the first radio controlled vehicles were designed. In the subsequent decades, automotive electric cars appeared which were powered by battery and embedded circuits in the roads. By the middle of last century, automotive cars were having approximately same electronic systems shown one by one. Various semi-autonomous type set up in modern cars such as lane keeping, automatic braking and adaptive cruise manage are based on such systems. It is forecasted that most companies will start fully autonomous vehicles by the coming of next decade. The future of autonomous vehicles is an ambitious era of safe and comfortable transportation.

Smart Sugarcane Crop Growth Monitoring System using IOT and Image Processing
Authors:- Someshwar Terkar, Saurabh Shinde, Sushma Potdar, Neha Chavan, Ms. K.S. Jadhav

Abstract:- Agriculture is the most important sector of an Indian economy. Sugarcane is the main source of sugar in India and holds a prominent position as a cash crop. People uses conventional way for the farming. Conventional way requires more human power. Around 55% people in India has been engaged in agriculture but only 15% goods we get from the agriculture. Though there is a large area under cultivation, we don’t get maximum yield. The fact that most of our farmers have the lack of proper knowledge makes it even more erratic. A large portion of farming and agricultural activities are based on the predictions, which at times fail. Due to this, farmers have to bear huge losses. Since we know the benefits of proper irrigation and soil nutrients in the growth of sugarcane crop, such parameters can’t be ignored. Diseases occurred to the sugarcane plant can affect the yield of sugarcane. Sothe “Smart sugarcane crop growth monitoring system based on IOT and image processing” is one of the best way to increase crop yields.

Data and Components Availability
Authors:- Atharva Manoj Kulkarni

Abstract:- Agriculture is the most important sector of an Indian economy. Sugarcane is the main source of sugar in India and holds a prominent position as a cash crop. People uses conventional way for the farming. Conventional way requires more human power. Around 55% people in India has been engaged in agriculture but only 15% goods we get from the agriculture. Though there is a large area under cultivation, we don’t get maximum yield. The fact that most of our farmers have the lack of proper knowledge makes it even more erratic. A large portion of farming and agricultural activities are based on the predictions, which at times fail. Due to this, farmers have to bear huge losses. Since we know the benefits of proper irrigation and soil nutrients in the growth of sugarcane crop, such parameters can’t be ignored. Diseases occurred to the sugarcane plant can affect the yield of sugarcane. Sothe “Smart sugarcane crop growth monitoring system based on IOT and image processing” is one of the best way to increase crop yields.

A Survey on Different Techniques of Static and Dynamic Load Balancing
Authors:- Ph.D Scholar Vinod Patidar, Dr. Shiv Shakti Shrivastava

Abstract:- As cloud computing have number of issues related to security, bandwidth efficiency, large information handling, load balancing, etc. Load balancing implies distribution of the workload to node or servers or assets with the goal that one can accomplish maximum utilization of resources, reduce execution time, increase system throughput and so on. This paper gives a concise study of cloud based service balancing methods proposed by different researchers. Here various features of service are detailed for the load balancing and planning. Different sorts of requirement of load balancing was additionally talked with their significance and limitations. So according to the module as well as steps used in techniques classification of load balancing algorithms are done with a comprehensive and comparative understanding of existing literature.

A Survey on Techniques and Features of Document Classification
Authors:- Ph.D Scholar Vinod Sharma, Dr. Shiv Shakti Shrivastava

Abstract:- Traditional information retrieval methods become inadequate for increasing vast amount of data. Without knowing what could be in the documents; it is difficult to formulate effective queries for analyzing and extracting useful information from the data. This survey focused on some of the present strategies used for filtering documents. Starting with different types of text features this paper has discussed about recent developments in the field of classification of text documents. This paper gives a concise study of methods proposed by different researchers. Here various pre-processing steps were also discussed with a comprehensive and comparative understanding of existing literature.

A Survey on Intrusion Detection System Techniques and Features for Identification
Authors:- Ph.D Scholar Raj kumar Pandey, Dr. Shiv Shakti Shrivastava

Abstract:- The intrusion detection systems (IDSs) are essential elements when it comes to the protection of an ICT infrastructure. Intrusion detection systems (IDSs) are widespread systems able to passively or actively control intrusive activities in a defined host and network perimeter. Recently, different IDSs have been proposed by integrating various detection techniques, generic or adapted to a specific domain and to the nature of attacks operating on. In this paper survey was done on the various techniques of intrusion detection system where some of supervised and unsupervised intrusion detection techniques are discussed. Here methodology of various researchers is explained with their steps of working. Different types of attacks done by the intruders were also discussed.

Design and Development of Text-Image Watermarking Based on Integer Wavelet Transform (IWT) and Discrete Cosine Transform (DCT)
Authors:- PhD Scholar Arpana Bhandari, Associate Professor Dr. Shailja Shukla, Professor Dr. Rajiv Shrivastava, Asst. Professor Dr. Vijay Bhandari

Abstract:-This paper investigates Text-images still has a great importance, despite the spread of electronic texts. Text-images are protected using digital watermarking. This paper proposes a watermarking method applied to text images. This method integrates two transforms: integer wavelet transforms (IWT) and discrete cosine transforms (DCT). For the watermark embedding, IWT is performed on the cover image and DCT is applied to the low frequency sub-band LL. The watermark image is inserted in the lower to medium DCT coefficients to achieve a high degree of robustness and imperceptibility. Experiments using different English text-images are performed to evaluate the proposed method in terms of imperceptibility and robustness. Results show that the proposed method has higher imperceptibility compared to other existing methods applied to English text-images. Also, the proposed method provides good robustness results, especially against compression and noise..

Smart Home Automation Technique using Unsupervised Machine Learning Algorithm
Authors:- Nikhil, Amit Sahni, Rishav Kumar Thakur

Abstract:-Smart home mechanization technique is getting highly considered these days because its wide selection of uses like security system, controlling home appliances, entertainment system, lighting etc. Large quantity information is accumulated from the past good home expertise by the user however these information isn’t absolutely used, but currently because of development of huge information and machine learning technologies these prediction is also accustomed manufacture a very intelligent system. Regarding this paper proposes user behavior prediction formula (UUBP) that uses a artificial neural network(ANN) and tells a couple of new and advanced conception of forgetting issue to contend with the shortcomings of previous algorithm. This formula shows high-learning ability and wants minimum human intervention. This formula may contend with the user influence and outdated records. UUBP formula shows more robust performance then different algorithms.

Comparative Analysis of Traffic Classification Algorithms in Deep Learning
Authors:- Goddeti Mallikarjun, A. Srinish Reddy, J. Manikandan

Abstract:- Traffic classification is an important algorithm to a wide range of applications from QoS provisioning and billing in ISPs to security-related applications in firewalls and intrusion detection systems. Port-based, information packet scrutiny, and classical machine learning ways in which area unit used extensively inside the past, but their accuracy has declined due to the dramatic changes in Internet traffic, particularly the increase in encrypted traffic. With the proliferation of deep learning ways, researchers have recently investigated these ways for traffic classification and according high accuracy. In this article, we tend to introduce a general framework for deep-learning-based traffic classification. We gift usually used deep learning ways and their application in traffic classification tasks. Then we have a tendency to discuss open issues, challenges, and opportunities for traffic classification.

Advanced Smart Road Deformation Detection System
Authors:- Reetu Jain, Aarav Amit Akali, Jai Jariwala, Tanay Nistala

Abstract:- Aging roads and poor road-maintenance systems resulted many potholes, whose numbers increase over time. Potholes jeopardize road safety and transportation efficiency. Moreover, they are often a contributing factor to car accidents. To address the problems associated with potholes, the locations and size of potholes must be determined quickly to find the location a data base as to be developed, which requires a specific pothole-detection system that can collect pothole information at low cost and over a wide area. However, pothole repair has long relied on manual detection efforts causing loss of time and money to government. Thus, in this paper, we introduced a pothole-detection system using a commercial “Road sepoy”. The proposed system detects potholes using vision-based tracking system and MATLAB algorithm specifically designed to work with road sepoy camera giving us accurately in real-time environment. Geo-mapping the pothole in google maps helps the exact location.

Automated Vehicle Identification and Toll Tax Collection
Authors:- Anwar A. Shaikh, Akshay B. Raskar, Sagar R.Sonne, Omkar S.Lalge, Prof. K.S. Jadhav

Abstract:- The ANPR (Automatic Number plate Recognition) system is based on image processing technology. It is one of the necessary systems designed to detect the vehicle number plate. In today’s world with the increasing number of vehicle day by day it’s not possible to manually keep a record of the entire vehicle. With the development of this system it becomes easy to keep a record and use it whenever required. The main objective here is to design an efficient automatic vehicle identification system by using vehicle number plate. The system first would capture the vehicles image as soon as the vehicle reaches the security checking area. The captured images are then extracted by using the segmentation process. Optical character recognition is used to identify the characters. The obtained data is then compared with the data stored in their database. The system is implemented and simulated on MATLAB and performance is tested on real images. This type of system is widely used in Traffic Control Areas, Tolling, Parking Area etc. This system is mainly designed for the purpose of security system.

A Survey on Cigs Solar Cell Technology
Authors:- Asst. Prof. J. Dinesh Kumar, Associate Prof. S. Prince Immanuel Alexander, Asst. Prof. G. Lavanya

Abstract:- Thin film solar cells are favorable because of their minimum material usage and rising efficiencies. The three major thin film solar cell technologies include amorphous silicon (α-Si), copper indium gallium selenide (CIGS), and cadmium telluride (CdTe). In this paper, the evolution of each technology is discussed in both laboratory and commercial settings, and market share and reliability are equally explored. The module efficiencies of CIGS and CdTe technologies almost rival that of crystalline solar cells, which currently possess greater than 55% of the market share. α-Si is plagued with low efficiency and light-induced degradation, so it is almost extinct in terrestrial applications. CIGS and CdTe hold the greatest promise for the future of thin film. Longevity, reliability, consumer confidence and greater investments must be established before thin film solar cells are explored on building integrated photovoltaic system.

A Review Article of Transportation Vehicles Routing Scheduling using Genetic Algorithm
Authors:- Kshitij Singh Chouhan, Professor Vinay Deulkar

Abstract:- The paper proposes a technique for the development of ‘‘optimal’’ transit route networks (for example, a bus route network) given the information on link travel times and transit demand. The proposed method, unlike previous techniques, primarily uses optimization tools for the development of the transit route network—the reliance on heuristics is minimal. In the proposed method, genetic algorithms, an evolutionary optimization technique, is used to develop the ‘‘optimal’’ set of routes. Results show that the proposed procedure performs better than the existing techniques.

A Survey on Optimization Techniques of Spectrum Sensing and Allocation in Cognitive Network
Authors:- Vivek Banerjee, Dr. Rajneesh Kumar Karn

Abstract:- Cognitive radio network increase spectrum as non-licensed users get chance to transfer their data. Hence IOT devices get dynamic access to the spectrum by sensing channel data. Spectrum sensing is a key enabler for cognitive radios technology in network implementation. Spectrum sensing identifies idle spectrum and provides attentiveness about the sensing radio environment. In this paper, a survey of the CRs technology is presented. Different papers of the spectrum sensing techniques are reviewed. Here paper has summarize techniques adopt by researchers to increase the detection rate, in different environment of ideal and real situation. Spectrum allocation algorithm also discuss as utilization depends on allocation as well. Comparison of sensing technique with their issues is tabularized. Paper has explained various evaluation parameters for comparison of spectrum sensing techniques.

Optimizing Garbage Collection for High-Performance
Machine Learning Applications in Java

Authors:- Rajesh S. Bansode, Dr. Professor

Abstract:- This paper explores the optimization of garbage collection (GC) techniques in Java Virtual Machine (JVM) to improve the performance of machine learning (ML) applications. By analyzing GC algorithms and leveraging tuning strategies from Ramakrishna Manchana’s 2018 research, this study addresses critical challenges in resource-constrained environments such as IoT. The proposed approach focuses on minimizing latency during model training and deployment while enhancing memory efficiency. A comparative analysis of various GC algorithms is presented, with experimental results demonstrating the effectiveness of GC tuning for high-performance ML workflows.

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