Solar Tracking with GSM Notification Highway Information System: Review
Authors- Janvi Panwar, Kajal Saini, Kavita Sharma
Abstract- In earlier days, use of street light system operated manually. Thus result in the more requirement of manpower and large demand of energy consumption and also this mechanism is less reliable. So the answer is renewable energy in form of solar energy which is presently used in domestic as well as corporation. Due to the reduction of remote areas and enhancement of urban sectors and population most of the people approach to become the digitalized. So that some changes taken just like LED lamps are replaced by HID and solar high pumps installed. Also Automatic Street light is taken into picture. In this paper, automation of street has emerged. This project concerns the reduction of electricity consumption and the reduction of road human resources. It contains use specific sensors, LDR and microcontroller to control the street light circuit day and night. Someone knows that high intensity light is unnecessary at peak times, even when there is no traffic or when they are in a hurry. In this case we will lower the intensity in the morning. Energy can be saved to a certain extent. Collect solar energy with the help of solar cells and batteries, the daily charging time and this energy will be used for street lights. In addition, at night, using the solar tracker system; you can get the greatest energy from the sun. This project describes a system that automatically controls the intensity of street light using design micro controller and LDR.
Cooperative Localization in Wireless Adhoc and Sensor Networks using Hybrid Distance and Bearing (Angle of arrival) Measurements
Authors- M.Tech. Scholar Aamir Khan, Prof. Manoj Singh
Abstract- In this research we have made an attempt to address localization in static as well as mobile sensor networks. For static network we have proposed two distributed range based localization techniques called (i)Localization using a single anchor node (LUSA), (ii ) Distributed binary node localization estimation (DBNLE). Both the techniques are proposed for grid environment. In LUSA, we have identified three types of node: anchor, special and unknown node. For every anchor node there exists two special node and they are placed perpendicular to the anchor node. Localization in LUSA is achieved by a single anchor node and two special nodes. Localization occurs in two steps. First special nodes are localized and then the unknown nodes. We have compared LUSA with a closely related localization technique called Multi-duolateration (MDL). It is observed that the localization error and localization time is lesser in LUSA. In DBNLE a node is localized with only two location aware nodes instead of three nodes in most localization techniques. This not only reduces the localization time but also the dependency.
Reliable and Energy Efficient Routing Protocol in Dense Wireless Sensor Network
Authors- M.Tech. Scholar Munna Kumar, Prof. Rahul Pandey
Abstract- In Improved LEACH it is essential that the current cluster head communicates with all nodes in its cluster in order to find out the remaining energy of each node and it is also necessary to have larger memory and higher processing ability in comparison with D-LEACH to select the cluster head for the next round. The amount of communication and processing consume the major part of nodes energy level, which decreases network lifetime. On the other hand, in the D-LEACH algorithm the current cluster head sends a packet only towards its closest neighbor and then this node decides whether to become the cluster head or not. This technique makes the system able to reduce the amount of communication and processing time, and as a result, saves more energy in our network. Thus, the network lifetime will increase.
Performance Improvement of Mimo-Mc-Cdma System Using Equalization, Beam forming And Relay
Authors – M.Tech. Scholar Priyanka Kumari , Prof. Akhilesh Patel
Abstract- Globally the demand for wireless application is increasing every year which necessitates the design of progressive and perfect transmission of multimedia data over wireless multipath channels. Even though, MIMO MC CDMA is chosen as the access technique for realizing the same, quality offered by this technique fails to meet the demands of future wireless communication system. To improve the performance of the system, this work proposes the MPCE based MMSE equalization, ITBF and NR to meet the quality of wireless communication such as high transmission rate, more transmission range and transmission reliability.
Distributed Sequential Estimation Applying Localization in Wireless Sensor Networks
Authors- M.Tech. Scholar Praveen Kumar Sah , Prof. Manoj Singh Tomar
Abstract- Wireless sensor networks (WSNs) are typically formed by a large number of densely deployed, spatially distributed sensors with limited sensing, computing, and communication capabilities that cooperate with each other to achieve a common goal. In this dissertation, we investigate the problem of distributed detection, classification, estimation, and localization in WSNs. In this context, the sensors observe the conditions of their surrounding environment, locally process their noisy observations, and send the processed data to a central entity, known as the fusion center (FC), through parallel communication channels corrupted by fading and additive noise. The FC will then combine the received information from the sensors to make a global inference about the underlying phenomenon, which can be either the detection or classification of a discrete variable or the estimation of a continuous one.
Understanding the Flash Crowd in P2p Live Video Streaming Systems
Authors- M.Tech. Scholar Mahazbeen Khan, Prof. Rahul Pandey
Abstract- In this research, a distributed algorithm with minimal central control is presented which organizes the newly arrived peers into hierarchical positions to reduce competition among them. This hierarchical rank is then used to construct different sub-stream trees. The video stream is divided into sub-streams and each sub-stream is pushed over a separate sub-stream tree. Only the peers at the top of the hierarchy will directly access the scares initial resources and in turn forward the stream to those below them in the hierarchy. Thus, by utilizing the resources provided by the newly arrived peers in handling flash crowd, better system scale can be achieved.
A Deep Neural Network Based Jpeg Compression
Authors- M.Tech. Scholar Yusra Fatema, Prof. Manish Sahu
Abstract- This Research Proposed Process Will Be Very Quick And Accurate Results Will Be Provided Through Images, So That Doctors And Medics Can Know Exactly The Brain Areas, Where Tumor Are Critically Affected, Medium Affected And Normal. There Is Already Several Automated Technique Which Has Been Developed For The Purpose Of MRI Segmentation. However, We Will Work On A Method For Automatic Segmentation And Classification Of MRI Brain Images. Here Tumor Region Is Extracted Using Ostu’sthresholding And Morphological Operations. Then These Segmented Images Will Undergo Wavelet Decomposition. After Which The Features Are Extracted From The Decomposed Image. And Then The Extracted Features Are Given As Input To The Support Vector Machine And The SVM Classifies The Input Image As Normal, Medium Or Critical. It Also Find Scope In Detection Of Problems Of Neurological Disorders, Especially Alheimers Disease. By Using Texture Based Features We Can Evaluate Three Different Segmentation Techniues Derived From Support Vector Machines.
Energy Efficient Wireless Sensor Node Clustering Using Butterfly-PSO
Authors- M.Tech. Scholar Rani Mahara, Prof. Pooja Meena, Prof. Chetan Agrawal
Abstract- Remote Sensor Networks are utilized in variety of region since they can be appropriate for different situations. It can work autonomously in the state of hazard places where a human’s nebulous vision is spirit or hard. This paper introduces cluster center selection genetic algorithm using Butterfly and PSO (Particle Swarm Optimization). Selection of nectar by butterfly algorithm with particle swarm optimization improves the cleverness of butterfly-PSO for cluster node set identification. Hence final cluster node obtained from the algorithm increase packet count as well. Experiment was done on different dimensional area with various number of nodes. Result shows that proposed has effectively analyze data and improve evaluation parameters values as compare to previous other approaches.
Analysis on Lte Downlink Schedulers Algorithms In Open Access Simulation Tool Sns 3 And Lte Sim
Authors- M.Tech. Scholar Ajaharulla Khan, Prof. Akhilesh Patel
Abstract- Reaching higher throughput has sometimes resulted in unfair allocation to users who are located far from the base station or users who suffer from bad channel conditions. Therefore, a sufficient trade-off between throughput and fairness is essential. The scarce bandwidth, fading radio channels and the QoS requirement of the users, makes resource allocation a demanding issue. Different scheduling approaches have been suggested for different service demands described briefly throughout the thesis. Initially, a comprehensive literature review of existing work on the packet scheduling topic has been accomplished in this thesis to realize the characteristics of packet scheduling and the resource allocation for the wireless network. Many packet scheduling algorithms developed to provide satisfactory QoS for multimedia services in downlink LTE systems. Several algorithms considered in this thesis include time and frequency domain algorithms and their way of approach has been investigated.
Removal of Pathogens From Waste Water By Membrane Technique: A Review
Authors- Asst. Prof. Maheswari P, PG Student Dharsiha G
Abstract- Membrane technology is a worldwide term used for the separation process. The development of membrane technology is being done in many fields all around the world. From the beginning, as the year passes the membrane form, mechanism of working, types of membranes and the method of preparation has also developed in every possible way. The recent trend is using the membrane for the removal of the pathogens. As water being scared among all the nations, the urge to find new technology in improving the quality of the drinking water is necessary. The chemical method, like the addition of chlorine, lime, iodine and bromine, is the most effective method till now. But due to the longer consumption of the chemicals used in the disinfection process, humans get affected by long term diseases. So the need for ‘no side-effect’ method is essential. So, the membrane filtration technique is being used for this field. This paper gives an overall review about the uses of membrane technology in pathogen removal. The paper also deals with the various polymers being used in the water purification. If any disadvantage occurs, then the modifications are also done by easy and economical way to overcome those limitations. This review paper is given a clear idea about the types of membrane process involved in pathogens removal and interactions between pathogens and membranes.
Graphical Password Based Robust Document Retrieval from Multi-Keyword Query
Authors- Nishu Kumari, Asst. Prof. Ritu Ranjani Singh
Abstract- As the digital data increases on server’s different researcher have focused on this field. From last few decades document are obtained from the various set gathered data from users, researcher, authors, etc. This work focus on the spatial basis privacy method where secret password was developed with the help of image by using various combinations from same image set. So whole process is divide into two steps first is generating a password where user create password which is a combination of text as well as image. While in the next step login is done where password is generate from the same image and retrieve desired document from the set of available documents as per user query. In order to maintain the privacy encrypted query was pass to fetch relevant document. Experiment was done on real dataset and results were compared with existing methods on various evaluation parameters.
Composites Materials for Inter Laminar Fracture
Authors- Research Scholar Imran Abdul Munaf Saundatti, Prof. Dr G. R. Selokar (Supervision)
Abstract- Experiments were directed on four point end notched flexure (4ENF) composite examples made of carbon/epoxy and glass/epoxy covers. The mode II fracture energy, GIIC, has been evaluated utilizing consistence calibration method. The value so got has been contrasted and beam hypothesis. The crack development obstruction bends (R-bend) for these vii examples were created and it has been discovered that glass/epoxy has higher toughness value than that of carbon fiber strengthened composites. From this examination, it has been seen that R-bend impact in 4ENF examples is very gentle which implies that the measured GIIC value is progressively precise. So as to contemplate the blended mode I/II fracture of carbon/epoxy and glass/epoxy unidirectional overlays, tests on blended mode bending (MMB) examples have been led. Inception critical strain energy discharge rates, GC have been plotted against the mode blend GII G. A disappointment measure dependent on Benzeggagh-Kenane (B-K) paradigm has been created for these examples