Safe Data Transmission in WSN
Authors- Ranu Dilware, Asst. Prof. Dr. Dev Kumar Rai, Dr. Akhilesh Upadhyay
Abstract- The finely tuned and sorted out data that is transmitted from the base station are dissected for the harmful condition which is finished by the remote sensor organize. Security is the primary hindrance in WSN as the sensors are kept in a nearby circuit. The WSNs are for the most part upset by different risky outer and inner attacks. They are calculation assets, limited memory limit and battery life, preparing power, absence of alter safe bundling and the utilization of unreliable remote correspondence channels. To unravel these issues, a novel convention is proposed multi-layer security convention with vitality power utilization specially appointed on request separation vector directing convention. The propelled encryption standard calculations take a shot at the above convention for coding and unraveling with the significant two components. The most limited course utilizing the vitality power utilization as the Neighbor node is accomplished in EPC AODV. Along these lines will get WSN with a low parcel misfortune. A system was created to change and conserv-ative for MLSP with EPC-AODV for utilizing as the source course. The layer by layer interpre-tation will be finished by the MLSP. The principle job of the source node is to recognize the most straightforward receptive way for the essential keys of the middle of the road nodes. Source node will presently begin supplanting the auxiliary nodes in totally encoded regions utilizing the AES encryption tech-nique. The substitution of the information parcels is finished by the MLSP. The MLSP will supplant the middle of the road nodes with the optional key, where the last nodes are the beneficiary of the made sure about information. The reproduction aftereffects of the protected information move indicated that MLSP accomplishes 90+% parcel conveyance rate, 89% throughput and 0.31 ms start to finish delay in the system.
Review of Intrusion Detection using Machine Learning
Authors- Research Scholar Princy Soni, Associate Professor Dr. Mukesh Yadav, Professor Dr. Sudhir Agrawal
Abstract- An Intrusion identification framework is a product and equipment gadget or framework to recognize undesirable traffic in our system. It is a fundamentally use to security reason. It is a product application framework which screens the system or framework exercises and examining or looking through undesirable activity which is happens association arrange framework. There are numerous strategies are presence to recognize interruption based on AI and profound learning systems. Interruption of digital security is one of the fundamental worries in PC security, in this way interruption discovery framework are being created. Interruption Detection Systems (IDS) are presently a standard part in arrange security structure and is fundamental to shield PC frameworks and system from different assaults. In recent years, interruption identification utilizing information mining has caught the consideration of analysts. Each analyst proposes an alternate calculation for unmistakable classes. Developing classifier is another exploration challenge to construct dynamic IDS. KDD-Cup 1999 interruption discovery dataset assumes a fundamental job in adjusting interruption location framework and is widely utilized by the scientists working in the field of interruption recognition. This paper presents a review of different IDS and nitty gritty examination of different methods utilized for improving IDS.
Optimization of reliability system using Solar Energy Grid Integration System ”SEGIS”
Authors- Roshan Lal, Ritesh Diwan
Abstract- This program Forecasting of data Solar Energy Grid Integretion System (SEGIS) is to develop the (Artificial Nueral Network) ANN technologies for increasing the penetration of PV into the utility grid while maintaining or improving the power quality and the reliability of the utility grid. Highly integrated, innovative, advanced inverters and associated balance-of-system (BOS) elements for residential and commercial solar energy applications will be the key critical components developed in the effort. Advanced integrated inverters/controllers may incorporate energy management functions and/or may communicate with separate-alone energy management systems as well with utility energy portals, such as smart metering systems. Products will be developed for the utility grid of today, which was designed for one-way power flow, for intermediate grid scenarios, and for the grid of tomorrow, which will seamlessly accommodate two-way power flows as required by wide-scale deployment of solar and other distributed resources.
Toll Plaza Density Optimization and Pollution Reduction in Its
Authors- M.Tech. Student Abhishek Ankushrao Chavan, M.Tech. Student Pratik Kalidas Walke, Prof. Dr. B. V. Khode
Abstract- In ITS Toll plaza reenactment is one of the mainstream ways to deal with the structure of toll courts. Toll square designs, for example, toll gathering strategies, number of toll stalls, and kinds of vehicles have been examined in the writing. Traffic stream types can be another persuasive factor when structuring toll squares, particularly on the off chance that that traffic stream data isn’t accessible, however just the gauge of traffic volumes. Barely any investigations have revealed the impact of traffic types on toll square exhibitions. In this article, an ANN reenactment strategy is utilized to investigate the affectability of toll court execution for various sorts of traffic stream. Two traffic designs, deterministic and probabilistic traffic stream, is considered. This examination depends on a proposed venture for structure a toll Plaza in the city. The assessed future traffic means the toll scaffold are utilized to examine the distinction between the two traffic designs.
Roundabout Analysis at Bangalore (Bannerghatta Nice Road Junction) City
Authors- Scholar Ankur Bhatt, Assistant Professor Akshay Gulghane
Abstract- Driving speed is one of the most important factors in road safety and speed not only affects the severity of a crash, but is also related to the risk of being involved in a crash. Inappropriate speed is responsible for more than a third of all fatal accidents occurring on roads. In Bangalore (bannerghatta nice road junction) city every year majority of all traffic accidents occur in urban areas from which most is recorded at junctions and their vicinity. Hence it is of great importance to effectively manage speed and enforce speed limits on existing road network. Replacing already existing three- or four-arm junctions by roundabouts and construction new ones is considered to be a good solution for safety improvements and also are pointed to be within traffic calming features but their effectiveness is influencing by type, shape and geometry of the junction. The aim of this paper is to analyses the effectiveness of chosen traffic calming measures in comparison with the effectiveness of roundabouts. Research area was located in city of Bangalore city and included a group of commonly applied physical measures together with small and mini roundabouts. Measurements of instantaneous speed by utilizing GPS data logger and assessment of the extent impact of selected TCMs on drivers’ manoeuvreswere undertaken to develop the investigation.
Speed Flow Density Study of Two Different Roadindian Road and Their Comparison
Authors- Scholar Pranjali Goyal, Assistant Professor Akshay Gulghane
Abstract- In this work speed -flow-density study of an Indian road has been conducted. Data has been collected using video camera and later decoded in computer. This data is very essential to estimate capacity of an Indian road. Since the collected data is of a narrow density domain, capacity prediction from this data is not promising. One of the data is collected in indore to mhow and another data is from mhow to pithampur .Both the data’s were compared statistically. For both the data’s R2 is calculated and it is compared with detection of traffic density flow precise to define whether both the data’s are same or different.
Efficiency of Geo Grid in Road Pavement Construction
Authors- M. Tech Scholar Pratik Kalidas Walke, M. Tech. Scholar Abhishek Ankushrao Chavan, Professor Dr. B. V. Khode
Abstract- Geosynthetics have grown in the civil industry in the past twenty years becoming key materials in the design of new roads and in maintenance programed. Geosynthetics are now widely used for strengthening of in situ soil, mechanical improvement of pavement layers from the sub base up to the asphalt wearing course using different type of geosynthetics, from geotextile to geogrids and geocomposite. Management of stormwater can be achieved using geocomposite for drainage instead of traditional gravel drainage. The paper will discuss the geosynthetic functions in pavements and their use in a pavement structure, highlighting advantages and disadvantages gained from literature and experience.
Power System Stability Enhancement using Fact Controller
Authors- Vidya Sagar Verma, Associate Professor Ritesh Diwan
Abstract- The article deals with the use of thyristor controlled series capacitor (TCSC) in the power system. Aim of this work is to show the possibilities of using TCSC and its modelling in a simple electrical network from the perspective of power flow control by using MATLAB SimPowerSystem. Given the current pace of increasing electricity transmission and growth requirements for transit is to increase safety, capacity, controllability and flexibility of systems for the transmission of electricity, needed the implementation of certain measures and specialized equipment. Such specialized equipment is also TCSC from group of FACTS devices.
The Combined Action of Flexure and Torsion on Reinforced Concrete Beams Retrofitted with Ferrocement Jacketing – Experimental Study
Authors- Adheena Thomas, Afia S Hameed
Abstract- The paper presents an experimental study on the effect of combined action of flexure and torsion on retrofitted reinforced concrete beams. Six beams of 2 m length and 0.23×0.30 m cross-section is taken for the study. The specimens were first loaded for the initial failure and are retrofitted. Ferrocement, a cost – effective material over FRP, is used for studying the effectiveness of jacketing. Two types of ferrocement wire meshes are taken for the study – chicken mesh and welded mesh. Configurations like U wrapping, wrapping along compression side only and two side wrapping with both meshes are done. Crack pattern, load-deflection characteristics, torque-twist response and load-strain characteristics have been compared with those specimens retrofitted with ferrocement jacketing. It is revealed that U-wrapped welded mesh shows superior properties in every respect compared to other types of retrofitting configuration and types.
To Screen and Optimize the Encapsulating Material for Efficient Probiotic Strain Encapsulation and to Improve Viability of Probiotic Strains by Encapsulation
Authors- Shradhdha M Gondaliya ,Vimal M Ramani
Abstract- Lactic acid bacteria are most commonly used for production of probiotic food. These bacteria mostly belong to Lactobacilli and Bifidobacterium family. These bacteria are known for their positive effect on human health. It is thought that daily consumption of probiotic food can enhance immunity, smoothen digestion and even may be helpful in colon cancer. These bacteria are very sensitive to low pH or acidic condition, which they will face while entering in the gastrointestinal tract. In the GI tract, conditions are highly acidic due to gastric juice and bile juice. This leads to destruction of probiotic bacteria. Hence to protect them against this condition, they must be covered with some coating material which will prevent the direct interaction with gastric juice. It technical term it is called encapsulation of microorganisms. Various materials are available for encapsulation of microorganisms. Choice of appropriate material is depend on the type of microorganisms and its application. Here in this study, we have encapsulated two previously isolated Lactobacilli. Alginate was taken as a base material and mixed with various different other material to obtain various combinations of encapsulation material. Each of this combination was tested for its effect on viability of cells during encapsulation, storage and in gastrointestinal conditions. Effect of pH on viability was also determined for all type of encapsulated cells. Based on the entire study, we have concluded that encapsulation material containing alginate, chitosan and inulin is one of the best among all. It provides higher viability storage and in gastrointestinal conditions. It was also able to protect the cells at lower pH compared to other materials.
Heat Transfer Characteristics in a Solar Air Heater Duct with Rectangular Ribs Using CFD
Authors- M.Tech. Scholar Yogesh Ubnare, Professor Punam Kumar Agade
Abstract- This article is present for a detailed investigation of the design of solar air heater having rib roughness on the absorber plate by using the application of computational fluid dynamics (CFD). In this Solar air heater an absorber plate is made of ‘Al’ and roughened with transverse ribs due witch creates the turbulence in the flow of fluid (air) and increase the heat transfer from the absorber plate to the fluid. Quantity of heat transfer is depending on Nusselt number. Nusselt number depends on surface heat transfer coefficient ‘h’. Heat transfer coefficient is strongly depends on the relative roughness height (e). Here ANSYS FLUENT v 14.5 is used to simulate fluid flow through a conventional solar air heater.
Power Factor Compensation in UPQC System
Authors- M.Tech. Scholar Sourabh Sahu, Assistant Professor Tikeshwar Gajpal
Abstract- In this paper, different applications of a Unified Power Quality (UPQC) for the improvement in power quality is presented. In addition to the power-factor correction, load balancing and mitigation of voltage and current harmonics, it can regulate the load voltage against voltage sag/swell and voltage dip in a three-phase three-wire distribution system for different combinations of linear and non-linear loads. The basic theory is used to get the reference signals for series and shunt active power filters (APFs). The reference signals for the shunt and series APF of UPQC are derived from the control algorithm and sensed signals are used in a hysteresis controller to generate switching signals for shunt and series APFs. The UPQC is realized using two voltage source inverters (VSI) connected back to back, to a common dc link capacitor. MATLAB/Simulink based simulations are obtained, which support the functionality of the UPQC.
Implementation of Bone Strain Measurement and Rectifying System using FPGA
Asst. Prof. R.S.Ramya,UG Scholar K.Vaitheeswari,UG Scholar D.Sangavi,UG Scholar S.Vijaya Sri,UG Scholar S.Priya
Nowadays several people suffer due to bone loss and this happens due to different reasons. This leads to bone diseases like osteoporosis. Bones are the vital organs of the body. It supports different functions of the body. Bones are the rigid and hardest structures. It provides mobility, protection to internal soft tissues, mechanical support and shape to the body. It acts as a calcium reservoir. Bones are attached to the muscle to make contraction and relaxation. Bones are not stable because it is they change their structure constantly according to the biological needs. The biological study based on the structural variation of bone is very important to analyses the mechanism of bones. The healthy bone should possess good bone mass. Generally the bone mass gradually increases from birth and the bone mass acquisition becomes slower as a person get older. Due to some reasons it may be biological factor or heavy mechanical loading; this bone loss becomes severe which leads to osteopenia and osteoporosis. Osteoporosis is the weakening of bone which occurs due to ageing and also further makes the bone to break. To reduce these types of illness several procedures are available. But not all the methods are 100% efficient to find the bone density accurately. To understand the mechanisms of bone clearly, it is the need to understand how the various load level have their effect on the bone. This type of learning leads to the advancement in the treatment of bone diseases like osteopenia and osteoporosis. By taking the X-ray images for diagnosis, only the calculus growth is visible. It is the process of analysis and eliminating location of pain in to the bone In this proposal name was bone strain measurement system using FPGA. It is to eliminate the pain from the bone concept.
GIS and Space Data for Time Series Analysis
Authors- Padmini Prahlad
Geographic Information System (GIS) is a unique tool that enables intelligent use of space data and other geospatial information for wide varieties of analysis. GIS is platform that seamlessly allows vector and raster data to be integrated and used for advanced analysis and inferences. The GIS platform with its unique property of handling attribute information with necessary linkages with underlying Database system allows required references to various database elements for analysis. The interactive properties of GIS with its query system helps in many visual information extractions and building up of multiple mathematical scenarios, particularly useful for the time series analysis. Space data, in the form of satellite images of multiple timeframes, could be easily ingested into such a GIS system after necessary pre-processing and multi-image registration. Geospatial analysis of data is ably supported on a GIS platform that helps in analyzing satellite image data and at the same time generation of interactive maps for analysis. Considering time series analysis as the focus, with the help of satellite data, an open source GIS platform is used with both raster and vector data analysis to highlight changes that are occurring with regard to land and water. The work clearly highlights the impacts and transitions derived as part of the outcome of a GIS based analysis of such data.
A Survey on Text Content Sentiment Analysis Levels and Techniques
Authors- Kiran Sahu, Dr. Avinash sharma
As Individual convey their thoughts on social media by discussing personal life events or other issues related to politics, science, environment, etc. So this produce large amount of opinion data which can be further mine by utilizing some techniques of pattern, classification, etc. So researcher work on this profitable data, and consequently, semantic annotation of online digital content into respected sentiment was done by utilizing various techniques. Hence this paper gives a detail investigation of different level of sentiment analysis with necessary pre-processing steps. Sentiment analysis techniques adopt by different researcher like supervised, unsupervised, lexion, etc. were also discuss with their desired outcome. A deep survey of social content sentiment analysis work done by different researcher was also discussed for improving the knowledge of methods used.
A Review on Crack Identification and Analysis of RCC Beam Using Ansys
Authors- M. Tech. Scholar Shubham Tiwari, Prof. Dr. Rakesh Patel
Concrete structural components require the understanding intothe responses of these components to a variety of loadings. There are a number of methods for modeling the concrete structures through both analytical and numerical approaches. Concrete structural components such as beams, columns, walls exist in various buildings and bridges. Understanding the response of these components of structures during loading is crucial for the development of an efficient and safe structure. Recently Finite Element Analysis (FEA) is also used to analyses these structural components. A systematic review has been done on the work done by crack identification and analysis of RCC beam using Ansys has been presented.
A Review on Free Vibration Analysis of Laminated Composite Plate with a Central Different Hole Shape
Authors- M.Tech. Scholar Rahul Patel, Professor Dr. Rakesh Patel
A laminate composite material consists of several layers comprising a composite mixture of fibres and matrix. Laminated plates used in structures are often subjected to dynamic loads. This needs the study of vibrational characteristics of these plates. Composite structures may sometimes provide with holes for the purpose of assembling the components, for passing the cables, for inspection and maintenance etc.The presence of holes may alter the nature of vibration of the plates. It is, therefore, important to analyse the vibration of laminated composite plates with central holes of different shape. Also, the effect of various parameters, e.g. boundary condition, aspect ratio, hole-size, number of layers, fibre orientation etc. needs to be analysed for a safe and stable design of structures. In this investigation a review on free vibration analysis of a composite plate is presented.
A Survey on WSN Issues and Techniques to Increase Life of Wireless Network
Authors- M. Tech. Scholar Nikki Sarathe, Dr. Avinash Sharma
The Internet is easily moving from an Internet of individuals towards an Internet of Things (WSN). So it is estimated that in coming years more than a 50 billion gadgets associated with the Internet. So this lead to high data analysis task as heterogeneous devices present in the network. Although to run this WSN (Wire Less Sensor) devices for long time energy plays an important role as life of network depends on this limited resource. This paper gives a concise study of WSN based energy balancing methods proposed by different researchers. Different sorts of requirement of protocols for managing nodes was additionally talked with their significance and limitations. Here data analysis techniques from various devices are also discussed in details. In this study as per working steps of techniques are categorized, so a comprehensive and comparative understanding of existing literature was detailed.
A Review of Friend Recommendation on Social Media
Authors- M.Tech. Scholar Gopal Krishan Mohan, Assistant Professor Nidhi Sindu
Friend recommendation is one of the most popular characteristics of social network platforms, which recommends similar or familiar people to users. The concept of friend recommendation originates from social networks such as Twitter and Facebook, which uses friends-of-friends method to recommend people. We can say users do not make friends from random people but end up making friends with their friends’ friends. The existing methods have narrow scope of recommendation and are less efficient. We propose a new friend recommendation model to overcome the shortcomings of existing system. For better friend recommendation system with high accuracy, we will use collaborative filtering method to compare similar, dissimilar data of users and will make a recommendation system which gives user to user recommendation based on their similar choices, activities and preferences. Location based friend recommendation system are becoming popular because it brings physical world to digital platform and gives better insight of user’s preferences or interest This recommendation system will increase the scope of recommendation from one user to other with similar set of interest and their location.
Social BOT Detection Features and Techniques-A Review
Authors- Sanjay Soni, Dr. Ritu Shrivastava
Social network is place to connect and share thoughts with each other. But most of people get attracted from the social audience gathering for their personal or professional advantages. Computer program work as social media user to perform activity of posting a content, perform like, etc. are terms as social bots. This programs have ability to behave like normal user and generate content for target audience as per malicious activity. These are mostly used for advertising, campaigning purposes and to steal users personal data on a large scale. In this paper we have summarized techniques of BOT detection. This Paper reviews some of the methods proposed by researchers. Features are list in the paper which increase BOT detection ratio.
Extended Expansion on Lean Burn Spark Ignition Engine
Authors- Research Scholar D Damodara Reddy, Professor Dr. G. R. Selokar (Supervision)
– The major pollutants emitted from the exhaust due to incomplete combustion are, unburnt hydrocarbons (UBHC), oxides of nitrogen (NOX) and highly poisonous carbon monoxide (CO). If however combustion is 100% complete the only products being expelled from the exhaust would be water vapour, which is harmless, and carbon dioxide, which is inert gas and, as such, it is not directly harmful to humans. However, such ideal situation is not possible and researchers are constantly trying to optimize combustion condition to the extent possible. Factors limiting the efficiency of a conventional engine are pumping losses and the expansion ratio is identical to the compression ratio. In a conventional spark ignition engine, the compression ratio is equal to the expansion ratio. Further, the load controls in these engines are performed through throttling, which is mainly responsible for poor part load efficiency. In SI engines, the compression ratio is restricted by the combustion process, but the expansion ratio can be extended.
Manufacturing of Aluminium Metal Matrix Composite
Authors- Research Scholar Pavan Balappa Bagali, Registrar Professor Dr. G. R. Selokar (Supervision)
– TA Light weight metal-matrix composites have been drawing in developing interest and brought into the most significant applications in the car business. Metal matrix composite materials are structured with the plan to join the attractive qualities of metals and pottery. Aluminum is the most broadly utilized matrix period of the composite in that capacity it helps in weight decrease as well as to have a one of a kind blend of properties, for example, higher quality with improved firmness, scraped spot and wear obstruction and furthermore custom-made electrical and warm execution. The microstructure of the matrix stage relies upon the strategy utilized for preparing the composite. The composite utilized in the present examinations is created by mix throwing process. Tribological conduct of the examples has been contemplated under various stacking conditions differing from 9.8N to 49.0N and under different temperatures extending from 50oC to 300oC. Diverse portrayal strategies, for example, X-Ray Diffraction (XRD), Optical microscopy, Scanning Electron Microscopy (SEM), Energy Dispersive Spectroscopy (EDS), Vickers hardness and wear testing with stick on-plate. used in the modified engine. Since delay of IVC increases, the quantity of charge pushed.
Surface Integrity Of The Bimetallic Pistons And Its Significance
Authors- Research Scholar Sumeet Hangargi, Prof. G. R. Selokar
– Bonding between aluminium and cast iron is achieved through a patented process named the Al-Fin process. To ensure better bonding, the insert is dipped in the molten aluminium bath, this dipping time playing a vital role. Achieving the near net shape of the bimetallic pistons without damaging the bonding between the aluminium and cast iron is the major challenge. This investigation also obtains optimal cutting parameters in turning off such pistons with cubic boron nitride as a single tool to machine the metal. The bond integrity after machining is primarily related to the magnitude of the cutting forces. Taguchi design of experiment analysis was conducted on the inserts which are subjected to various dipping time. The optimal cutting parameters for minimized cutting forces were identified.