bluuebunny/crossref_metadata_2025 huggingface dataset:
Algorithmic Methodology Based Automobile Theft Detection and Prevention System
Authors: Ms. Monika Soni
Published: October 2020

To prevent and identifying the theft problem, smart car is an ultimate solution. When a person enters into car, automatically takes the photos of driver .Using Principal Component analysis algorithm, checks the photos of driver already stored in the database and decide the person is authorized or unauthorized.   If the person is authorized, the person can access the vehicle. When the person is unauthorized. Using GSM and MMS modem, send messages to the user’s mobile number and then the car speed gets slow down. The ignition unit of the car can stops and the door cannot open. Using GPS, the location of the car and thief can easily identified using algorithmic approach. Any facial expressions and background conditions can changes in images, detection cannot takes place. To avoid this problem, face recognition and face detection algorithm can be used.
Power and Delay Analysis of Flip Flop Using Pulse Control Method
Authors: Ms. Ritika Dhabliya
Published: October 2020

The past few years, increasing difficulty in integration can be solved by low power, which is very important and also choosing flip-flop solves the challenges like low power. In this paper, we design and compare the power problem of various indirect pulse triggered flip flop are examined. It can be attained by reconstructing the lower part of Single-ended Conditional Capture Energy Recovery (SCCER) design and by employing the control pulse scheme. The results after the simulation derives transistor count and power required are significantly reduced in the proposed design over existing design.
Power Theft Identification Using Embedded System
Authors: Mr. Kankan Sarkar
Published: October 2020

Today, power theft plays the key role in transmission losses of electricity from the generating station to the consumer end. About 30% of power produced is being theft. Though the electricity boards know that there is power theft in the area under their vigilance, they are not able to locate the area or location of theft. So, to identify the power theft and to communicate to the EB there needs a system to be developed. Here comes the system developed by us which will find the power theft if it happens and sends the information about the place of the theft to the nearby Electricity Board.
Leakage Power Minimization Using Gating Technique In FPGA Controlled Device
Authors: Mr. Sagar Kothawade
Published: October 2020

FPGA based controlled devices are widely used in integrated chip sector provided the power consumed by such devices should be low. Leakage power takes vital part in contributing towards the total power consumption. This research work concentrates in proposing a power gating technique based on look up table approach. The novelty of this approach is that common look up tables are employed for asynchronous architectures for each leaf node. Due to this the leakage power and the total area overhead can be minimized. The proposed architecture is simulated through M-Power analysis and simulator tool for leaf nodes and efficiently utilizes H-tree methodology to minimize area. The reduction in number of look up tables leads to 45% to 50% reduction in leakage power of FPGA device.
Optimized Adaptive Huffmann Coding For Paper Reduction in OFDM Systems
Authors: Dr. Atul Suryavanshi
Published: October 2020

The main defect of OFDM systems is its high peak-to-average power ratio (PAPR). To decrease PAPR, Adaptive Huffman coding is essential. Encoding is transferred by two encoding techniques Huffman coding and Adaptive Huffman coding at the transmitter side. Mapping is done by QAM 16 and PSK 16.The PAPR results of Huffman and adaptive Huffman coding with QAM 16 and PSK 16 is compared. Simulation results shows that the Adaptive Huffman coding along with QAM 16 produces fruitful results in comparison with Huffman coding and adaptive Huffman coding with PSK 16.
An Experimental Analysis Of Dependency On Automation And Management Skills
Authors: Ms. Elena Rosemaro
Published: October 2020

With the increase in the earth’s population, nowadays automation is growing at a very fast speed and many different types of strategies are being made and implemented for better understanding and interaction with humans. With the advancement in automation, the workplace is changing and is managed in a very different way than the old times. These technologies will change a lot of changes in all the sectors of life like in education, banking, industrial, medical, and many more, and researchers also say that it will bring growth in productivity. There is a huge demand for the fast-growing business in this highly competitive market so companies are making their way to examine, updating and even modern work is on its way that is automation in all business processes. So to continually evolve with the technologies we need to automate our business and managed it accordingly so that there is improved effective and productive work.
An Experimental Analysis on performance of Content Management Tools in an Organization
Authors: Dr. Sandip Kadam
Published: October 2020

In any organization for organizing information, one must fully understand the value of a content management system, which helps in providing solutions by managing the data based on the knowledge of the enterprise. There is a big confusion related to the functions performed by the content management system, some products are also there which does not show full performance. These products are web content management system, managing records and documents, and some enterprise managing content. This research paper help in finding the mismatching between the customer needs and the product information. The article includes the differences in the functions of the content management system and other systems which are used for companies.to manage documents, techniques are needed and require a lot of information to store, manage, and retrieve. Many software is available to keep the record of the data to store the information and manage the data. One of them is the Enterprise Content Management tool which helps in finding solutions regarding the context. The products of content management are dissected, linked, examined by using a table to figure out the functions of the market products. This paper shows the confusion in the framework on the demand side, and at the same time feedback on confusion in the supply side by decreasing the satisfaction of the company in respect of knowledge and information management.
Performance Analysis On Knowledge Management System on Project Management
Authors: Ms. Nora Zilam Runera
Published: October 2020

The project manager is a person who works as an overall in-charge and plays a vital role in fulfilling the dream of a project, and is known as the omnicompetent. A project manager for any project must have the qualities to plan and implement the knowledge management in a systematic, join together, and reuses the decision based on the project and advances the diffusion and thus sharing the invisible knowledge. Knowledge management (KM) is vital for any company to survive in a competitive market and dynamic environment. The task of transferring knowledge is not an easy job thus it requires efforts to gather and transfer the knowledge in the projects. This paper includes all the responsibilities of the project manager should hold and those are time management, risk management, managing information, managing human resources, managing scope, purchasing orders management. A project manager must find out the performances of every responsibility and finding the knowledge which is not visible and making it into useful knowledge. Discussion with team members, sharing the knowledge, and concluding with the win-win condition between an individual and the whole organization.
Ancient Vedic Multiplication Based Optimized High Speed Arithmetic Logic
Authors: Mrs. Leena Rathi
Published: October 2020

Here, we deal with most effective Vedic multiplication method dependent 4*4 bit arithmetic logic unit having high speed. In this paper, we will perform ALU operations. ALU is a development of research work that has been done for years so we have chosen this topic. Normally ALU is a heart of digital processor, central processing unit, microprocessor and micro controller. Every digital domain based technology has to depend on the performance of ALU. Hence, there is a necessity of ALU which generates high speeds which depends on the speed of multiplier. Therefore, we go for designing a 4-bit multiplier. To generate high speeds, multiplier is employed which is one of the important blocks of the hardware unit and also an important initiation of delay in the path. We have studied many algorithms for multiplication technique but research says that Vedic multiplication is most effective of all in terms of speed. The algorithm contains 16 sutra, out of which we are employing URDHVA TIRYAKBHYAM and the code is written in Very High Speed Integrated Circuit Hardware Description. Our supporting synthesizing and simulating tools are Xilinx ISE9.2i and model sim-altra6.3g-pi (Quartus II) respectively. At last, we will compare 4-bit ALU with 4-bit Array ALU.
CUP and DISC OPTIC Segmentation Using Optimized Superpixel Classification for Glaucoma Screening
Authors: Prof. Vaishali Sarangpure
Published: October 2020

Glaucoma, an incurable disease related to eyes which results in loss of the vision. Identifying this disease within in a proper period of time is most important, since it cannot be cured. The important aspect of this paper is to detect glaucoma at initial stages. Segmentation in the optic disc necessitates the differentiation of each super pixel by employing Histograms, centre surround statistics. Information location in merged with the above methods in increasing the performance of optic cup segmentation. Optic disc and optic cups are employed to evaluate cup to disc ratio of the disease identified. Neural network is used to extract the patterns and also to detect glaucomatous cells that are too complex to be noticed by either humans or other computer techniques.
Self-Sustained Debacle Repression Using Zig-Bee Communication
Authors: Mr. Kaustubh Patil, Promod Kakade
Published: October 2020

If an accident happens, nature of the humans is to criticize somebody else instead understanding the mistake. Finally, European study says that in 80% of vehicle accidents especially motor vehicles, drivers criticize the other person instead of preventing the accident. In our assessment, we consider conditions of traffic in India. For any accident to happen, major cause is speed of the driver. So, we should go for new methods to eradicate such type of problems. Assessment of accidents are done to identify the reason or series of accidents that are occurred and to avoid fresh accidents of the same type. So, we are going for Self-sustained Debacle Repression method identified by the combination of different independent solutions. An SDR development shape tomorrow’s safe. It also comes with collision avoidance Mechanisms such as: Avoiding the collision using Ultrasonic Sensor and ARM processor and Collision Indication (car-to-Xs Communication) using ZIGBEE technology.
Design and Analysis of Single Ended Low Noise Amplifier
Authors: Mrs. Monika Soni
Published: October 2020

In this research article, we propose a Low Noise Amplifier which utilizes 1.748GHz (mid frequency) by employing 0.35µm CMOS technology. Gain of 33.25dB is obtained by using this technique and also having a noise figure of 2.233. Employing single ended configuration, we design a Low Noise Amplifier along with cascaded. The information transmitted can be either voice or data that alters radio frequency carrier from a transceiver in wireless communications.
Impact of Data Mining Technique in Education Institutions
Authors: Mr. Bhushan Bandre, Ms. Rashmi Khalatkar
Published: October 2020

Major decision making process using large amount of data can be done by various techniques using data mining. In education sectors various data mining techniques are implemented to analyze the student’s data from the admission process itself. Due to large number of educational institution in India, excellence becomes a major parameter for the institutions to grow and with stand. Nowadays education institutions use data mining techniques to show their excellence. The main objective of this work to present an analysis of individual semester wise results of engineering college students using different techniques of data mining. Here we used different classification algorithms like decision tree, rule based, function based and Bayesian algorithms to analyze the semester results and comparison is made by considering parameters like accuracy and error rate. Our output shows the most suited algorithm for analyzing data in educational institutions.
Recognition of Anthracnose Injuries on Apple Surfaces using YOLOV 3-Dense
Authors: Mr. Rahul Sharma
Published: October 2020

Plant ailment is one of the essential drivers of harvest yield decrease. With the advancement of PC vision and profound learning innovation, independent discovery of plant surface sore pictures gathered by optical sensors has become a significant research bearing for convenient yield ailment analysis. Right now, anthracnose injury identification strategy dependent on profound learning is proposed.  Right  off the bat, for  the  issue  of  lacking  picture  information brought about by the irregular event of apple illnesses, notwithstanding conventional picture expansion strategies, Cycle-Consistent Adversarial Network (CycleGAN) profound learning model is utilized right now achieve information  increase. These strategies adequately  enhance  the  decent  variety of preparing information and give  a  strong  establishment to  preparing  the  identification  model.  Right now, the premise of picture information increase, thickly associated neural system (DenseNet) is used to streamline highlight layers of the YOLO-V3 model which have lower goals. DenseNet extraordinarily improves the  usage  of  highlights in  the  neural  system  and  upgrades  the identification consequence of the YOLO-V3  model.  It  is  checked in tests that the improved model surpasses Faster  R-CNN with VGG16 NET, the  first  YOLO-V3  model,  and  other  three  cutting  edge  arranges  in  discovery   execution,  and it can understand continuous recognition. The proposed technique can be all around applied to the recognition of anthracnose injuries on apple surfaces in-plantations.
Optimized Wireless Stethoscope Using Butterworth Filter
Authors: Ms. Mohini Dadhe, Ms. Sneha Miskin
Published: October 2020

Acoustic stethoscope is a primary diagnostic tool used by doctors for effective analysis of various diseases. But, it suffers defects such as low level heart sounds and presence of murmurs. This project aims at developing ‘Noise removal in stethoscope using Butterworth filter’. In this, the low level heart sounds were amplified with high gain pre-amplifier circuit. A review of basic filters like low pass RC filter, Butterworth filter, Chebyshev filter and Bessel filter are done for elimination of murmurs and best suited filter is suggested. Finally, amplified noise free heart sounds are simulated using Proteus 7.4. The results prove that efficient filter for designing is ‘Butterworth filter’.
Design and Analysis of Optimized Fin-FETs
Authors: Prof. Nikhil Surkar
Published: October 2020

Semiconductor industry greatly depends on CMOS technology and now needs competent technology with handful benefits. This paper examines and analyzes the modern FINFET technology. This analysis is performed through 9 stages Ring Oscillator equipped with FINFET. Performance is analyzed by comparing the proposed structure with CMOS based 9 stage Ring Oscillator at the nano-scale level of abstraction.
Design of Hand Motion Assist Robot for Rehabilitation Physiotherapy
Authors: Mr. Kunal Verma, Mr. Dharmesh Dhabliya
Published: October 2020

This paper deals about developing a microcontroller based two-axis robot for human hand physiotherapy for the treatment of paralyzed patients. The interactive two-axis motion robot is designed to fit around patient’s arm and work with the patient to reestablish movements of hand by gently moving it in desired direction. The robot moves the patients hand up and down, left and right using servo motor interfaced with it. The motor is controlled by switching ON/OFF the stator winding. The microcontroller generates the switching pulses of the motor; the angular distance and movements are programmable through keys. The robot actively moves the non-responsive body parts allowing it to be a useful tool in all steps of rehabilitation. Note to Practitioners-Compared with cable-driven humanoid arm, a cable less robot is more accurate because a cable driven robot has some drawbacks due to the mismatch of connections. If the connections are mishandled, there is a chance to occur any severe damages. The main drawback is more expensive, very difficult to maintain and clean. This drawback can be rectified by the proposed method. The main feature of this robot is its mobility function.
Analysis of “SystemC” design flow for FPGA implementation
Authors: Kartika S
Published: October 2020

High level language termed as SystemC language is recently gaining popularity in VLSI industries especially in Hardware-Software co-design. Using SystemC, Hardware IPs can be modeled at system level which helps to reduce the time to market for SOCs. In most applications SystemC is utilized to verify functionality of the design. However there has been relatively less work done on the synthesis of equivalent hardware from SystemC. In this paper, Finite Impulse Response Filter and Greatest Common divisor are designed as examples in SystemC language and their corresponding synthesis flow from SystemC to FPGA is proposed. The proposed method of synthesis would be time saving than the conventional design and synthesis using HDL in RTL perspective.
Performance Analysis of RPL Routing Protocol for WBANs
Authors: Prof. Prachiti Deshpande
Published: October 2020

This research article focuses on evaluating the performance of RPL protocol for WBANs. The WBANs place stringent requirements for the protocol design due to its adhoc nature, heterogeneous data rate, requirement of mobility and ultra-low power consumption. Many works have been focused on evaluating the RPL protocol through simulation; on the other hand the real world implementation has its own vulnerabilities. So it is important that the protocol should be experimented on the real hardware devices. This work aims in developing an inter-WBAN to monitor the vital health parameters such as heart beat and body moisture level of two or more patients simultaneously. It has been proved that the RPL performance is far superior to simple multi hop technique by comparing various performance attributes.
Design and Analysis of High Speed Low Power Hybrid Adder Using Transmission Gates
Authors: Prof. Amruta Bijwar
Published: October 2020

Addition is the vital arithmetic operation and it acts as a base for many arithmetic operations such as multipliers, dividers, etc. A full adder acts as a basic component in complex circuits. Full adder is the essential segment in many applications such as DSP, Microcontroller, Microprocessor, etc. There exists an inevitable swap between speed and power indulgence in VLSI design systems. A new modified hybrid 1-bit full adder using TG is presented. Here, the circuit is replaced with a simple XNOR gate, which increases the speed. Due to this, transistor count gets reduced results in better optimization of area. The analysis has been carried out also for 2, 4, 8 and 16 bit and it is compared with the various techniques. The result shows a significant improvement in speed, area, power dissipation and transistor counts.
Automatic Vehicle Over speed Controlling System using Microcontroller Unit and ARCAD
Authors: Prof. Madhuri Zambre
Published: October 2020

The main purpose of this paper is to develop a system that avoid accidents because of vehicles with high speed. Also, authorizes the pedestrians and public to cross the highway road with no risk from vehicles which are moving with high speed. Generally, drivers of the vehicles with high speed drives in an uncontrollable manner even in speed limited areas without taking into consideration about the public. Even traffic policemen could not able to control them and attain good response from the high speed vehicle drivers. Also, we cannot monitor them to limit their speed at all times in those areas. So, here we develop a system which controls the speed of the vehicles in those locations without involving the drivers. Here, we employ RF communication method in controlling the speed of the vehicles. Finally, we connect RF receiver to the vehicle and locations are connected with the transmitter. Also, the transmitters are coded to send the transmitted signals continuously with a small delay between the adjacent signals. So, if a high speed vehicle is entering the location then their receivers will automatically senses the received code. Thereafter, the speed of the vehicle is limited dynamically by employing an embedded system inside them.
Prevention of Emulation Attack in Cognitive Radio Networks Using Integrated Authentication
Authors: Mr. Dharmesh Dhabliya, Prof. Ojaswini Ghodkande
Published: October 2020

Security is the prominent problem in emerging cognitive radio. Protecting the chief user’s and sub-ordinate user’s right to use the spectrum results in the correct cognitive radio operation. The major user emulation attack is a physical layer attack which disrupts the secondary user’s operation. An Advanced Encryption Standard scheme is used in this work that aims to defeat the chief User Emulation Attack by the correct detection of the chief user. The reference signal is encrypted and transmitted along with the Digital TV signal. Using a shared secret the receiver regenerates the reference and the cross association and the auto correlation are calculated which helps in the accurate detection of the chief user as well as the malicious user. The simulations were carried out and the results show that the detection scheme results in zero misdetection and also false alarm which is below a set threshold.
Evaluation and Examination of Aperture Oriented Antennas
Authors: Prof. Romi Morzelona
Published: October 2020

The exhaustive evaluation and analysis of aperture oriented antennas for different dimensions at two different frequencies (1800 MHz and 2.4 GHz) is presented in this paper. Design and comparison of the antennas for their performance is done through MATLAB. It is inferred that the circular aperture antenna has 95% higher directivity than rectangular aperture antenna. In addition, for the circular aperture antenna HPBW is 0.2849 degrees and for rectangular aperture HPBW is 1.0143 degrees. Also, circular patch antenna has less side lobe power than that of rectangular aperture antenna.
An Efficient Traffic Control System and License Plate Detection Using Image Processing
Authors: Dr. Govind Shah
Published: October 2020

Automatic license plate recognition is extracted from license plate of the vehicle. It is taken as an image or a continuous image taken in sequence. The extracted information can be with or without a database in many applications like electronic payment systems and freeway and arterial monitoring devices for traffic surveillance. ALPR employs CC camera, advanced camera or black and white, color camera to capture the image. ALPR is fruitful if the captured images are of good quality. ALPR is a real time application that processes the images of license plates in various conditions like dark or bright times in a day. A general technique should be identified to process images in many different countries or states. We should know that the license plate generally consists of various colors, languages, fonts and others have images in the background. Also, these plates are obstructed by mud, light, some accessories especially on a car. Here, we discuss about methods for ALPR. We classify ALPR based on the features they are used in each method and knowing their advantages, disadvantages, recognition accuracy and processing speed. Managing the timing in traffic controlling by calculating the density of an image.
Design and Analysis of Low Power Dual Edge Triggered Mechanism Flip-Flop Employing Power Gating Methodology
Authors: Prof. Virendra Umale
Published: October 2020

The advancement of battery operated designs has abundantly increases the memory elements and registers to be operated in ultra-low power. That is the this paper we have proposed a design of CT_C DET flip-flop with power gating technique which is the most efficient power consuming reduction technique.  The design of the power gating technique involves the pull-up transistor in the Vdd of the circuit and pull-down transistor in the ground terminal. This power gating technique reduces the power consumption by more than 40% than that of the existing design.
Monitoring of Sona Massori Paddy Crop and its Pests Using Image Processing
Authors: Prof. Barry Wiling
Published: October 2020

Nowadays plant diseases are the major cause of low agriculture yield.  So significance of detecting diseases in early stages and treating it will improve the agriculture yield. In India the major agriculture crop is paddy and in central part of south India there is a specific paddy crop called Sona Massori. In our work we concentrated on Sona Masori paddy crop health and pest monitoring using image processing. Here image processing technique is used to observe the image of the leaf and based on the image the diseases are identified using the following process such as image acquisition, pre-processing, segmentation, feature extraction and classification. Mostly diseases are caused by pests, insects and pathogens. In Sona Massori paddy crop 99% of diseases are caused by pests, So detecting pests also plays an important role in improving yield. Here pests are detected by image processing techniques such as Gaussian blur and morphological operations.
An Efficient Power Optimized 32 bit BCD Adder Using Multi-Channel Technique
Authors: Diksha Siddhamshittiwar
Published: October 2020

Static power reduction is a challenge in deep submicron VLSI circuits. In this paper 28T full adder circuit, 14T full adder circuit and 32 bit power gated BCD adder using the full adders respectively were designed and their average power was compared. In existing work a conventional full adder is designed using 28T and the same is used to design 32 bit BCD adder. In the proposed architecture 14T transmission gate based power gated full adder is used for the design of 32 bit BCD adder. The leakage supremacy dissipated during standby mode in all deep submicron CMOS devices is reduced using efficient power gating and multi-channel technique. Simulation results were obtained using Tanner EDA and TSMC_180nm library file is used for the design of 28T full adder, 14T full adder and power gated BCD adder and a significant power reduction is achieved in the proposed architecture.
Analysis of Modified Current Controller and its Implementation in Automotive LED
Authors: Prof. Bhushan Thakre, Dr. R.M Thakre
Published: October 2020

A novel highly dimmable current controller which is a linear one is employed in the application of low power automotive is discussed here. Light Emitting Diode is the one which drives current that is linearly controlled to decrease the intensity of LED to limit the destruction of the LED and improve its reliability. Although many dimming techniques for LED lighting are available, our proposed method outperforms the existing methods in terms of power consumption and the no. of transistors used in the proposed design. This emits 100mA and decrease the LED current which is going linearly based on the theory of dimming control voltage. Toggling of LED is avoided finally in comparison with the existing system. This circuit is developed in 0.18μm process technology and Cadence ADE with Spectre is employed for simulation purpose. The proposed method utilizes a maximum power of 392.85 mW when the supply voltage is 4V and the control voltage is 4V at the temperature of 27oC.
Analysis and Evaluation of MAC Operators for Fast Fourier Transformation
Authors: Prof. Deepanita Mondal
Published: October 2020

Arithmetic tasks are broadly utilized in Digital Signal Processing (DSP) applications. In this paper, a streamlined plan of the melded Add-Multiply (FAM) administrators is being investigated for the expanding execution. The direct plan of an AM unit is executed by apportioning a snake and afterward driving its yield to the contribution of a multiplier, increments essentially both region and basic way postponement of the circuit. The immediate recoding of the entirety of two numbers in its MB structure prompts a progressively effective execution of the intertwined Add-Multiply unit contrasted with the regular one, earlier recoding plans depend on complex controls in bit-level, which are actualized by committed circuits in entryway level. This new recoding plan and Modified CSA Tree, diminishes the basic way delay and decreases power utilization. This paper focuses on the extra decrease of dormancy and force utilization of CSA tree multiplier. This is cultivated by the utilization of Modified stall ADD-Multiply administrator and 4:2 compressor adders. Three elective plans of the proposed S-MB approach utilizing regular and marked piece Full Adders (FAs) and Half Adders (HAs) are being investigated as building squares.
Intelligent Modulation Recognition System and its Implementation using MATLAB
Authors: Prof. Arun Pawar, Mr. Dharmesh Dhabliya
Published: October 2020

Modulation type is one of the most significant qualities utilized in signal waveform recognizable proof and arrangement. ID of modulation has discovered applications in regions of observation, danger investigation and programming characterized radio. In this paper a calculation to distinguish the modulation plan of approaching sign within the sight of AWGN commotion is proposed. The calculation utilizes momentary highlights of the sign, for example, plentifulness, stage and recurrence. Measurable snapshots of these highlights are utilized to recognize ASK, PSK and FSK. The proposed calculation was reproduced and approved through recreation in MATLAB .The calculation shows a high distinguishing proof execution in satisfactory sign to-commotion proportion (SNR) extend.
Analysis and Implementation of Hybrid FIR Architecture in Speech Processor
Authors: Mr. Shruti Timande
Published: October 2020

Hearing aid is an electronic gadget precisely used into the internal ear which reestablishes halfway hearing to smooth hearing. The discourse processor of CI parts the sound-related sign into groups of various frequencies and changes over them into appropriate codes for animating the cathodes in cochlea of ear. The cathode actuates sound-related nerve filaments to give hearing sensation. The expense of the CI alone goes to around 100,000 US dollars. For the efficient less well-to-do individuals with hearing sickness, it might be too exorbitant to even consider affording for this hardware to recoup from the conference misfortune. It gets important to cut down the expense. The cost decrease might be accomplished with diminished region, low force and rapid activity of the CI. This goal intuited both the simple and the computerized based CI originators to inquire about their techniques to give individuals less expensive and profoundly understandable CI. The primary objective of this paper is to develop reconfigurable DSP architectures for the filter banks in speech processor of CI with the following features like minimized area of the filter, reduced power consumption of the speech processor and enhanced presentation of the filter. This paper involves the design and hardware implementation of narrow band pass FIR filter for speech processor of CI using the Xilinx System Generator (XSG) tool on Virtex 7 FPGA.
Identification of Mouth Cancer laceration Using Machine Learning Approach
Authors: Prof. Barry Wiling
Published: October 2020

This Paper describes about Identification of Mouth Cancer laceration Using Machine Learning Approach .The SVM algorithm is used for this purpose. Image segmentation operations are performed using: Resizing an image, Gray scale conversion, Histogram equalization and Classifying the Segmented image using SVM. SVM is used to reduce the complexity faced in the existing system comprising of Texture Segmentation and ANN (Artificial Neural Networks) Algorithm. SVM is a simple Machine Learning algorithm when compared to ANN. The outcome of the paper is to segment and classify the Malignancy from the Non-Malignant region using the classifier SVM. SVM performs the classification based on the dataset that contains the trained images.
Hybrid Hand-off Scheme for Performance Improvisation of Wireless Networks
Authors: Prof. Vaishali Sarangpure
Published: October 2020

Wireless systems administration is turning into an inexorably significant and well known method of giving worldwide data access to clients progressing. Handoff, the procedure where portable hubs select best passageway accessible to move information and its postpones make a major issue. A great deal of research has been done in most recent years to diminish the handoff delays happen in the various degrees of  WLAN correspondence. Because of the versatility of handoff, significant viewpoint in WLAN and cell correspondences are substantially more significant. Because of constrained scope of APs, WLAN likewise gives adequate data transmission to continuous spilling administrations. In this research article, various handoff plans are proposed to diminish the hand-off idleness and bolster quick hand-off in IEEE 802.11arcchitecture of wireless networks. In this article, we survey these quick handoff plots subjectively. In this work it is to make accessible preparation for prospect research on lessening the handoff inertness and give accentuation on necessity of quick handover for consistent network.
Monitoring of Drainage System in Urban Using Device Free Localization Neural Networks and Cloud computing
Authors: Mr. Rahul Sharma
Published: October 2020

Wireless Sensor Network is a Wi-Fi community consisting of spatially propagated and self-sufficient devices using sensors to detect physical or environmental conditions. During heavy rainfall, the urban drainage system cannot drain the water. A wireless sensor with many interconnected wireless sensor nodes captures real-time data from the network environment and transmits this data to a base station for analysis and operation. With wireless sensor nodes, it is possible to capture and monitor the amount of water in drainages and the difference in water flow between the two points in the drainage system. Nevertheless, the majority localization techniques aims on device based localization, which can find target with festinated devices. It is not suitable for applications such as terrain, drainage flow and flooding. Here device free wireless localization system using artificial neural networks and a cluster based wireless sensor network system to monitor urban drainage is proposed. There are two stages in the system. During the off-line preparation stage, Acceptable Signal Strength (RSS) differential metrics are calculated between the RSS metrics together while the monitor area is empty and calculated by a specialized in the region. Some RSS dissimilarity values ​​are selected in the RSS Difference Matrix. The RSS dissimilarity standards ​​and associated matrix indices are taken as the inputs of the ANN representation in addition to the identified position coordinate are in its outputs. The real-time data collected from the wireless sensor network is used to detect overflow and provide alarms before disturbances arise.
Enhanced QoS and QoE Support through Energy Efficient Handover Algorithm for UMTS Architectures
Authors: Mr. A. Kingsly Jabakumar
Published: October 2020

Spectrum inefficiency is a significant issue because of the increasingly more solicitation of transmission capacity by the end clients. Accomplishing high transmission rates and elevated levels of Quality of Service (QoS) speaks to in any case an open issue. Long haul Evolution (LTE) has been proposed as the reason for the fourth era versatile cell systems (4G) that points of the LTE standard are higher client bit rates, lower delays, expanded range proficiency, diminished expense, and operational effortlessness. In any case, this innovation is as yet being worked on and a few open issues must be still explored, for example, obstruction coordination, and power utilization, assets the board and handover procedures. The point of this work is to ensure the decrease of intensity utilization utilizing another handover calculation dependent on green arrangement. Also, the proposed conspire ensures the minimization of superfluous handovers. In any case, the issue in this technique is doesn't mulls over of the impact of green strategies in high force hubs. Along these lines, in the proposed framework the impact of high force hubs are thought of. This situation is expanded more than one full scale cell and various kinds of low force hubs, for example, pico-cell and microcells. In this situation, the force sparing is broke down during the handover strategies. Think about these issues; another strategy is proposed called Dynamic base Station arranging (DBSP) for accomplishing vitality productivity. The fundamental idea is to kill a BS individually that will insignificantly influence the system by utilizing a recently presented thought of system sway, which considers the extra burden increases brought to its neighboring BSs. So as to additionally diminish the flagging and execution overhead over the air and back take, utilize the estimated estimations of system sway as their choice measurements. A trial result shows that the proposed strategy accomplishes high vitality proficiency under different situations. In this work the presentation of an UMTS organize situation is assessed by utilizing different estimations of the priority bits of the CBR application.
Effective Morphological Transformation and Sub-pixel Classification of Clustered Images
Authors: Mr. B. Naga Rajesh
Published: October 2020

The main aim of this research work is to perform the morphological operations with reduced time complexity and area complexity. Morphological operation is the key element in any image processing. Finding the maximum and minimum using a window of defined size will imply to the morphological dilation and erosion respectively. So the proposed algorithm should be fast in the comparison and sorting, this way the time complexity could be reduced. It’s believed that the anchor concept will fetch this cause. The idea behind this is it fixes a pixel and setting it as the center pixel all the surrounding pixels will be processed. Moreover this is now been implemented for rectangular structuring element. This paper attempts the same for flat and 3D structuring elements. Hyper-spectral Imaging is a developing zone of remote detecting applications. Hyper-spectral pictures incorporate more extravagant and better otherworldly data than the multi-spectral pictures got previously. Hyper-otherworldly pictures are described by an exchange off between the unearthly and spatial resolution. The principle issue of the hyper-ghostly information is the generally low spatial goal. For arrangement, the serious issue brought about by low spatial goal is the blended pixels. Blended pixels alluded to the pixels which are involved by more than one land spread class. In the proposed procedure another strategy is utilized to address the issue of blended pixels and to get a better spatial goal of the land spread characterization maps. The strategy misuses the upsides of both picture bunching methods and phantom dimming calculations, so as to decide the fragmentary plenitudes of the classes at a sub-pixel scale. Spatial regularization by Flank planning method is at last performed to spatially find the got classes at sub-pixel level.
Density Based Traffic Control System with Smart Sensing Of Emergency Vehicles
Authors: Dr. M. Varadharaj
Published: October 2020

Present Traffic Light Controller (TLC) relies upon micro-controller and microchip. These TLC have restrictions as they are depend on pre-portrayed gear, which is filling in with respect  to the program that doesn't have the versatility of adjustment on continuous reason. Owing to fixed time spans, orange and red signal’s holding up time is more and vehicle uses more fuel. To make traffic light leadership progressively beneficial, we abuse the advancement of new procedure called as “Density based traffic control system with smart sensing of emergency vehicles”. It is constructed mainly by using Magnetic Sensors for real world environment and by using IR modules for Model. The main objective of our project is to clear traffic efficiently by effective usage of the green signal time. In this system the density of the vehicle in a particular lane is obtained by the number of magnetic sensors kept in the road side which produces output signal with respect to the density of the traffic. Thus produced output signal is further processed by ARM microcontroller and according to the density obtained by the magnetic sensors the countdown time of the green signal is varied by the microcontroller and hence the usage of green signal even after all the vehicle pass by are prevented. In addition to this system our system also senses the emergency vehicle like ambulance that approaches the signal by detecting the RF signal transmitted by the Ambulance or other emergency vehicle with the help of RF receivers that kept at the road side and halts all the vehicles by putting red signal for all the four sides of road and puts special ‘green jeep signal’ for the emergency vehicle to pass by hence our system provide way for emergency vehicle. It can also prioritize the emergency vehicle with the help of RF transmitter and receiver. As the signalling board receives the RF signal, it turns the Corresponding lane ON, thus clearing the route for the emergency vehicle. DSS also analyses the pollution levels by placing a check over the vehicle emissions at the junctions. When the priorities of any two lanes clash, pollution levels are taken into account to provide the signals for them in turns. The gas sensors are fitted onto the signalling boards which help in calculating the pollutant levels.
Hybrid Design and RF Planning for 4G networks using Cell Prioritization Scheme
Authors: Dr. S.A. Sivakumar
Published: October 2020

This article includes hands-on recreation practice on arranging of RF connect with the assistance of Atoll arranging programming device. The primary goal of this task is to structure and plan a RF coordinate with obstruction free correspondence, Optimum inclusion, no forgot about zone in the arranged inclusion guide and extension and reuse of site recurrence &network structure. Using the accessible restricted data transfer capacity vitally in order to take into account millions out of an immense zone with great quality, inclusion, and without obstruction utilizing ATOLL arranging device. Insightful re-utilization of site area later on organize structure will set aside cash for the administrator. Handover component is critical in cell arrange in light of the cell engineering utilized to expand range usage. One approach to improve the phone organize execution is to utilize productive handover prioritization plans, which have a typical trademark lessening the call dropping likelihood to the detriment of expanded call blocking likelihood. Effective prioritization conspire obliges various new calls while ensures the nature of administration (QOS) of Hand over call. This thought depends on the neighboring cells have a covering (the territory served by more than one cell) inclusion zone. Moreover cell cover and burden adjusting plan is proposed to improve the GSM cell limit utilizing a Software advancement pack (SDK). Limit improvement is accomplished by adjusting the heap in neighboring cell prioritization plans when client is exchanging between the cells.
Analysis and Design of Universal Shift Register Using Pulsed Latches
Authors: Mr. Dharmesh Dhabliya, Dr.S.A.Sivakumar
Published: October 2020

Power utilization and die region space are the significant boundaries which are considered for structuring low level power outcomes. This paper put forward the structure of low force general move register and 4-piece counter utilizing pipe rationale. Since flip failures are an innate structure hinder in a few applications, different flip lemon are over viewed and executed in widespread move register and 4-piece counter. Flip lemon utilizing pipe rationale is viewed as dependent on the correlation of intensity and region. At last, a low force all inclusive move register and 4-piece counter is planned utilizing pipe rationale. The proposed USR and 4-piece counters are mimicked with various clock rate going from 100 KHz to 500MHz. Re-enactment of these flip flounders, the widespread move register and the 4-piece counters are finished utilizing Tanner device at 180nm innovation. The normal force and the PDP of USR are improved by 33% and 27% and further the normal force and the PDP of 4-piece counter are improved by 36.9% and 30.2% when contrasted and existing plan separately. So the put forward plan is reasonable for low level power and elite applications.
Histogram Based Data Cryptographic Technique with High Level Security
Authors: Prof. Romi Morzelona
Published: October 2020

Histogram shifting plays a major role in reversible data hiding technique. By this shifting method the distortion is reduced and the embedding capacity may be increased. This proposed work uses, shifting and embedding function. The pixel elements of the original image are divided into two disjoint groups. The first group is used to carry the secret data and the second group adds some additional information which ensures the reversibility of data. The  parameter such as PSNR, embedding capacity and bit rate are used for comparisons of various images
A Novel Channel Estimation Technique in MIMO-OFDM Mobile Communication Systems
Authors: Dr. V. Arthi
Published: October 2020

4G Wireless communication systems have the inherent capability to foster the multimedia services in terms of bandwidth and data rate. These systems have very high integrity compared to the conventional wireless communication systems. It can fully support extended multimedia services with High Definition quality, audio and video files. Wireless internet and other broad band services provided superior quality signal transmission and reception. The degree of freedom enjoyed by the technology in terms of scalability and reliability is highly commendable. Any basic wireless transmitter sends information by varying the phase of the signal. In the receiver end, the desired signal can be decoded by appropriate decoding algorithm. The degradation occurs at the conventional receivers due to lack of Channel State Information. The efficiency of 4G system purely relies on the performance of receiver and is purely dependent on the synchronization of estimated instantaneous channel. In any wireless terminal, channel state information provides the in and around status of the channel. It provides the following parameters of the propagating signal (ie) Scattering, Fading and Attenuation. The dynamic estimation of channel state information can be obtained through Enhanced Least Squares channel estimation algorithm. It is based on Multi Carrier Filter Bank Transmission system. This  kind of dynamic estimation can be done with a set of well-known sequence of  coded unique bits .For a transmitter the information propagation is initiated in the form of frame bursts. It enhances the throughput of the system to the required level.