International Journal of Engineering and Techniques

1-4

Authors: - Y.R.Risodkar , KhushabuShirsath , SnehaWagh , KunalSali

Blood is one of the most critical element and its truly referred to as river of life. There are number of emergency situation where urgent blood is required. In this paper, we proposed a technique of Blood Bank Automation using Android application in which blood inventory will be managed and automated on line. In this application the administrator accesses the whole information about blood bank management system related to donor. You can quickly check for blood banks or hospitals in the emergency situation you can find the matching of particular or related blood group and reach to the particular location through the App. Through this app we can get the list of blood banks in nearby area

11-16

Authors: - CH. Aruna Jyothi ,P.Anitha

Digital Signal Processing (DSP) Applications have gained great popularity in the study of Bio-Medical Signal Processing .DSP can be used as a tool in the era of Bio-Medical Engineering and it is used to study the continuous rhythmic periodic waveform of ECG and finding out abnormalities present in the function of the heart.DSP solves this task with great accuracy and less complexity. According to available medical research report it has been given to understand the arrhythmias caused due to cardiac abnormalities. In this project we are going to present FFT approaches to analyze the periodic characteristics of ECG waveform and design spectrum of Angina Pectoris of ECG for identifying cardiac abnormalities

23-29

Authors: - Dr. V. Nithya , T. Sree Harsha, G. Tarun Kumar , D. Sainath

The concept of this paper deals with the development of a robotic vehicle and the implementation of a control strategy through gesture recognition (Leap Motion Sensor), by means the natural movement of the forearm and hand. Our experiment shows that our method based on Leap Motion Controller tracking data can recognize hand gesture accurately when no occlusion happens.

50-56

Authors: - B. Evangeline kiruba, K.Gerard Joe Nigel

: Renewable energy plays a vital role for the development of a country. Energy can be extracted from a number of ambient conditions like vibration, solar, thermal gradient etc. The maximum power from these systems can be extracted by using MPPT along with power converters. However, conventional maximum power point tracking (MPPT) method for solar cells, are complex and cannot be utilized due to their cost and power requirements. In proposed system the performances of DC-DC converter assisted by MPPT and the performance is characterized by and Perturb and Observe algorithm along with Raspberry Pi controller using boost converter by varying the duty cycle of the boost converter. The main advantages of P&O algorithm are simple in structure, with both stand-alone and grid-connected systems, MPP tracking can be done with very high efficiency.

57-62

Authors: - K.Thenmozhi , E.Dilip kumar

Nowadays internet is growing faster and the number of people using the internet is also growing. Hence, global communication using internet is getting more important every day. On the other hand, attacks on internet are also increasing gradually. Many of the intrusion detection system and firewall are protected the network intrusion but it is not fully protect the current network attacks. Honeypots have been considered as one of the methods to ensure security for networks in the Internet of Things (IoT) realm. This paper presents defend against attackers in honeypot enabled networks and to monitor the attacker’s behavior. In this paper we are taking the normal patterns to find if an attacker comes into the system and behaves an attack. If the pattern mismatches then we find out it is an attacker and it is moved to honeypot system. This paper helps us to create a well secured system and also to monitor the attacker suspicious or not

68-74

Authors: - Narendra Kumar , Dr. Pankaj Kumar

Recommendation systems can take advantage of semantic reasoning-capabilities to overcome common limitations of current systems and improve the recommendations’ quality. In this paper, we present a personalizedrecommendation system, a system that makes use of representations of items and user-profiles based on ontologies in order to provide semantic applications with personalized services. The absence of super ordinate authorities having full access and control introduces some serious issues requiring novel approaches and methods. The role of web semantics here is that we introduce intelligent matching of the court case details. The search is not only thorough but also accurate and precise to the maximum level of attainment with the use of ontology designed exclusively for this purpose.

82-88

Authors: - Dr.T.Geetha , Karthikeyan R , Kannusamy V , Kumaravel V

The emergence of sensor networks as one of the dominant technology trends in the coming decades has posed numerous unique challenges to researchers. These networks are likely to be composed of hundreds, and potentially thousands of tiny sensor nodes, functioning autonomously, and in many cases, without access to renewable energy resources. Cost constraints and the need for ubiquitous, invisible deployments will result in small sized, resource-constrained sensor nodes. While the set of challenges in sensor networks are diverse, we focus on security of Wireless Sensor Network in this paper. We propose some of the security goal for Wireless Sensor Network. Further, security being vital to the acceptance and use of sensor networks for many applications; we have made an in depth threat analysis of Wireless Sensor Network. We also propose some countermeasures against these threats in Wireless Sensor Network.

96-99

Authors: - Dr. Sandeep Dalal ,Neetu Rani

Cloud services are offering the flexible and scalable services. But there is always issue of security. When data is transferred from centrally located server storage to different cloud the compromise of person and private data would increase. There is always risk to the confidentiality and availability of data prior to selecting a cloud vender or choosing own cloud and cloud service migration. Cloud services usually have their security concerns that must be addressed. In this paper we have discussed the threats to cloud service and data in case of conventional security system and modern security system and proposed an idea to secure data on cloud using multiple layers of security

108-114

Authors: - S.Lavanya

This paper deals with modeling and simulation of three stage interleaved boost converter (ILBC) based induction motor drive fed from wind generator. The output of wind generator is converted into DC using a three phase uncontrolled rectifier. This voltage is boosted by using ILBC with reduced current ripple with three stages ILBC is proposed for this purpose. The output of the ILBC is converted into three phase balanced ac using a three phase inverter, which feeds a three phase induction motor. The simulation results for single pulse width modulation (PWM), sine PWM and space vector modulation (SVM) are presented.

122-126

Authors: - Miss.Ankita K.Ramekar, Prof.M.A.Pund

This paper proposes the development of Secure system for secret data communication through encrypted data hiding in ECG signals. The proposed encryption technique used to encrypt the secret data into unreadable form and enhances the safety of secret carrier information by making the information inaccessible to any intruder having a random method. After data encryption, the data hider will hide the secret data into the ECG signal coefficients. Although encryption achieves certain security effects, they make the secret messages unreadable and unnatural or meaningless. This is the reason a new security approach called reversible data hiding arises. It’s art of hiding the data in another transmission medium to get secret communication. It does not replace cryptography but rather boosts the security using its obscurity features. Here the DWT(Discrete Wavelet Transform) is used to decompose an ECG signal to different frequency sub bands. Hence, patients ECG signal and other readings such as blood pressure, glucose reading, position,etc., are collected at home by using Body Sensor Networks (BSNs) will be transmitted and diagnosed by remote patient monitoring systems. At the same cost that the patient privacy is protected against intruders while data traverse in open network and stored in hospital servers. In this project, to fulfill HIPAA act, a Discrete Wavelet Transform based steganography technique has been proposed. DWT technique allow ECG signal to put out of sight the patient confidential data and thus guarantees the patient’s privacy and confidentiality.

140-144

Authors: - S.Wilson , Dr.A.Lenin Fred

Confront acknowledgment framework is a PC application for naturally recognizing or confirming a man from a computerized picture or a video outline from a video source. Confront acknowledgment a framework has affected on numerous useful applications in view of the conditions. In this paper, investigation of two face databases is done with the assistance of a strong Face Recognition System under uncontrolled brightening variety. In this Face acknowledgment strategy comprises of three stages, brightening heartless preprocessing technique, Feature-extraction and score combination. In the preprocessing stage enlightenment delicate picture changed into brightening obtuse picture, and after that to joins different classifiers with corresponding components as opposed to enhancing the precision of a solitary classifier. Score combination figures a weighted entirety of scores, where the weight is a measure of the separating energy of the part classifier. The above strategy is connected into two diverse face databases named Yale and YaleB and results are contrasted and precision of every databases under various light condition.

144-148

Authors: - Neha Gaur , Neetu Sharma

Sentiment analysis is type of analysis techniques Sentiment analysis also called as opinion Processing). Sentiment analysis has much popular identify and classify opinion or sentiment as represented in an electronic t purchase decisions so nowadays if one wants to buy a consumer product one prefer user reviews and discussion in public forums on web about the product. Many consumers use reviews posted by other consumers befo purchase decisions. People have a tendency to express their opinion on various entities. As a result opinion mining has gained importance. Sentiment Analysis deals with evaluating whether this expressed opinion about the entity has a positive or a negative orientation. Consumers need to decide what subset of available information to use. identifying and extracting subjective information from raw data is known as sentiment analysis. for predicting sentiments could enable us, to extract opinions from the internet and predict online customer’s preferences, which could prove valuable for economic or marketing research. Till now, there are few different problems predominating in this research community, namely, sen handling negations. This paper presents a survey covering the techniques and methods in sentiment analysis and challenges appear in the field.

152-156

Authors: - Namrata N. Rade , Prof. J. K. Patil

The Texture is the crucial attribute in every image classification method as it describes the appearance of object. Today, different approaches of texture classification have been developed which focus on acquisition of image features from its texture and categorize them into different classes by using a particular classifier. This paper gives a state-of-the-art texture classification technique called Dense Micro- Block Difference (DMD). In this concept, image data representation is accomplished by capturing features in the form of micro-blocks. This method gives superior performance over already established methods in terms of processing time, accuracy and robustness and able to obtain whole image information. In this paper, we have taken UMD dataset for processing and calculated different performance parameters which gives excellent results than comparative method SURF

161-164

Authors: - Komal Shinde,Sangita Varpe,Rohini Shinare,Vishakha Varma,Prof.M.D.Ingle

A wireless sensor network typically includes a huge number of low-powered, less-cost sensing devices called as sensors with restricted computational, memory and communication assets. In the data aggregation technique, the information of sensor nodes is merged at cluster head nodes and then transmitted that aggregated data to the base station. The sensor nodes consume energy during sensing, processing and transmission. In wireless sensor network power and energy resources are limited. If every node sends data to the base station, energy will be wasted and thus the network energy will be consume quickly. Existing work in the literature uses PCA (Principle Component Analysis) and CS(Compressed Sensing) strategies. The proposed algorithms are Iterative Case Filtering (ICF) is used to decrease the energy consumption in an energy efficient manner and SHA (Secure Hash Algorithm) for matching sender and receivers hash key. If both the hash keys are same then data will be sent and duplicated packets will be discarded to reduce network traffic

166-170

Authors: - Kiran More , S. B.Borse

The human vision system finds it difficult to identify the camouflaged image on the surface the object, while examining the corresponding image. This is due to the inherent limitation of human vision system. . It is quite difficult to detect such camouflaged object because they get camouflaged in the background; they are smaller in size and also chromatically match with surrounding. The success of military weapons depends upon their ability to remain unseen by enemy. Thus camouflaging strategy is purposely employed in military applications.we will focus on the essential of the human visual system, and its relative significance of various factors affecting camouflage texture. The method detailed here develops a computational vision modelto examine the perceived differences between background image and camouflage texture background image. A dffrinet features for measuring thresholds for differentiating between small changes in naturalistic images have been studied to direct the camouflage texture designing.

171-178

Authors: - Kalpesh R. Kolhe , Manish D. Mata

Huge capital is invested in construction, planning and maintaining the quality of a new building. With time, old structures lose their strength and quality and thus they require restraining. Retrofitting helps in restraining of old structures by restoring their existing features and enhancing their structural capabilities. Proper assessment of damaged building to implement retrofitting techniques may help in restoring the strength and quality of old structures in lower cost and time. This paper mainly concentrates on assessment of damaged buildings by using different retrofitting techniques. Two different cases of retrofitting are presented here. The study mainly focuses on whether the total new structure is beneficial for the retrofitting of any existing structure.

182-185

Authors: - Sneha Sharadkumar Jariwala , Prof. Neha Parmar

Hand Gesture is defined as static movement e.g. making a fist and holding it in certain position is considered as gesture. Complex gesture, fingers can be bent at angles other than zero or ninety degree. It include various forms of pinching, the “okay” sign and many of the gestures used in finger spelling. Dynamic movement such as waving goodbye. Simple gestures are made in 2 ways. First way involves simple or complex gesture and change in position or orientation of the hand such as making a pinching gesture and changing hand position. Second way moving the fingers in some way with no change in position and orientation of hand. e.g.: moving the index and middle finger back and forth to urge someone to move closer. Complex gesture includes finger movement, wrist movement and changes in hand position and orientation. Many signs in American Sign Language are example of gesture. Number of gesture that given recognition system or algorithmic techniques can accurately recognized. 1 to 15 postures and gestures is considered small set, 15 to 25 medium sized and anything over 25 are considered large. Technique for a Human Computer Interface through Hand Gesture is able to recognize 25 Static Gestures from American Sign Language Hand Alphabet. In these there will be using of matlab software is used and there will be different types of images will be captured from the webcam. From there the interactions with system and meaningful information will be easily available.

191-194

Authors: - C.Joselin Freno Crasias, Mrs. S.V.Priya

Any detection on its early stage proves to provide a high degree of survival for a person and for this diagnosis plays a major role.The diagnosis in a nutshell should be accurate and absolute with due importance given, even to the minutest detail . From of old, the speckles have been viewed as an obstacle in the process of diagnosis. But here comes a proposal to turn them into success. Here the size and orientation of the speckles are observed to explore their intrinsic properties .The accurate segmentation is carried out by Transrectal ultrasound(TRUS) image based diagnosis for the detection of prostate cancer. The TRUS images are cut into arc like strips to obtain the different speckle sizes. Then the individual feature vector is induced to obtain the residuals.The residuals along with the inherited spatial coherence from the biological tissue forms the segment with the application of neural networks. Later the fine -tuned segments are integrated with prior shape, dark to light intensity ratio near the boundaries and the like

195-201

Authors: - Dr.Sandeep Kumar , Simarpreet Kaur

This work presents the outline of K-means clustering algorithm and enhanced technique applied on K-means clustering. The K-means clustering is the basic algorithm to find the groups of data or clusters in the dataset. To find the similar groups of data the initial selection of cetroid is done and the Euclidean distance is calculated from cetroid to all other data points, and based on the smaller Euclidean distance the data points are assigned to that centroid. The initial point selection effects on the results of the algorithm, both in the number of clusters found and their centroids. Methods to enhance the k-means clustering algorithm are discussed. With the help of these methods efficiency, accuracy, performance and computational time are improved. So, to improve the performance of clusters the Normalization which is a pre-processing stage is used to enhance the Euclidean distance by calculating more nearer centers, which result in reduced number of iterations which will reduce the computational time as compared to k-means clustering. By applying this enhanced technique one can build a new proposed algorithm which will be more efficient, supports faster data retrieval from databases, makes the data suitable for analysis and prediction, accurate and less time consuming than previous work.

204-209

Authors: - Christine Marie J. Madrid , Raymond S. Saldua

Robots have been utilized as a vital piece for different applications in the industry as well in the academe. In instance, for personal services, robots are being used in the variety of task. In this study, the researchers focused on a new concept of an Arduino-based Microcontroller wheeled laser cutting robot. The researcher is motivated to develop an alternative solution for manual cutting or engraving that could set out to give artists, illustrators, designers and everyone in between have an easy access to laser cutting so they could make their designs a reality. The developed prototype uses 2.5W Blue-Violet and an Arduino NANO that serves as the brain of the robot which the application involves firing a laser which cuts by melting, burning or vaporizing a material. The developed laser cutting robot have passed technical evaluation and testing for the overall functionality and with regards to the results, it indicates that the laser cutting robot is in a good quality as an instructional tool.