International Journal of Engineering and Techniques

5-9

Authors: - IJETShraddhaKallappaWalikar, Dr. Aswatha Kumar M

With the technology today, detection of pedestrian was introduced to decrease t he accidents in the roads. It was implemented on the traffic lights and cars. In this paper, integration of face detection and pedestrian takes place on the de vice called Raspberry Pi. OpenCV was used for the detections and programmed in Python. The webcam was used to capture images in real - time. The image was processed at the microprocessor. When pedestrians were detected, the microprocessor played the recorded voice a nd outputs it to the connecting speaker to notify those pedestrians or the pedestrian to wait before crossing until such time. The microprocessor sends a signal to the Gizduino to process the time of the red lights on state. The microcontroller was program med with the traffic signals. When it receives a signal from the microprocessor, it added an extra seconds to the red lights on state. Afterwards when it returned, it changed back to its original on state. The success rate was 80 % thi s shows the two detection was integrated in the system successfully worked

16-21

Authors: - IJETManjunath Aski, Prathibha P

This is particularly the case on e Health monitoring applications for chronic patients, Where Patients monitoring refers to a continuous observation of patient’s condition (physiological and physical) traditionally performed by one or several body sensors. The architecture for this system is based on medical sensors which measure patients’ physical parameters by using wireless sensor networks (WSNs). These sensors transfer data from patients’ bodies over the wireless network to the cloud environment. The system is aimed to prevent delays in the arrival of patients’ medical information to the healthcare providers, Therefore, patients will have a high quality services because the e heath smart system supports medical staff by providing real-time data gathering, eliminating manual data collection, enabling the monitoring of huge numbers of patients. We underline the necessity of the analysis of data quality on e-Health applications, especially concerning remote monitoring and assistance of patients with chronic diseases

27-32

Authors: - IJETAjeeth, Sandhya raani M H

Internet of things is the communication of anything with any other thing, the communication mainly transferring of useable data, for example a sensor in a room to monitor and control the temperature. It is estimated that by 2020 there will be about 50 billion internet-enabled devices. The Internet of things presently is being used in the fields of automobiles, agriculture, security surveillance, building management, smart-homes, and health care. The IOT expects to use low-cost computing devices where there is less energy consumption and limited impact to the environment[1]. This paper aims to describe a way for giving security to IT companies, scouting units, business organizations and volunteer groups. Among the person identification methods, face recognition is known to be the most natural ones, since the face modality is the modality that uses to identify people in everyday lives. This face detection differentiates faces from non-faces and is therefore essential for accurate security. The other strategy involves face recognition for marking the employees. The Raspberry pi module is used for face detection & recognition. The camera will be connected to the Raspberry pi module. The employees database is collected. The database includes name of the employees, there images & ID number[2]. This RFID reader module will be installed at the front side of organizations in such a way that all employees provided by the RFID cards. Raspberry pi system have the database of the employees so comparing the database if employees details are matched employ can entered into company. Thus with the help of this system, time will be saved and it is so convenient to record employees. And the details of the employees will be sent to the corresponding head of organization using IOT technology

39-46

Authors: - IJETPravin B. Sonawane, P.G.Damle

International Journal of Engineering and Techniques - Volume 2 Issue 3, May – June 2016 ISSN: 2395-1303 http://www.ijetjournal.org Page 39 Static Structural analysis of gear tooth Pravin B. Sonawane 1 , P.G.Damle 2 1 B.E. Mechanical, SSBT’s COE Bambhori, Jalgaon 2(Associate Prof.) Department. of Mechanical Engineering ,COE , Bambhori, Jalgaon. INTRODUCTION: Spur gears are the most common means of transmitting power in the modern mechanical world. They vary from tiny size used in the watches to the large gears used in marine speed reducers; bridge lifting mechanism and railroad turn table drivers. They for vital elements of main and ancillary mechanism in many machine tools, rolling mills, hoisting and transmitting machinery and marine engines etc. The four major failure modes in gear systems are tooth bending fatigue, contact fatigue, surface wear and scoring. Two kinds of teeth damage can occur on gears under repeated loading due to fatigue; namely the pitting of gear teeth flanks and tooth breakage in the tooth root. Tooth breakage is clearly the worst case of damage, since the gear could have seriously hampered operating condition. Because of this, the stress in the tooth should always be carefully studied in all practical gear application. The fatigue process leading to tooth breakage is divided into crack initiation and crack propagation period. However, the crack initiation period generally account for the most of service life, especially in high cycle fatigue. Spur gears are very useful in numerous applications. Not only can they transfer velocity and torque one shaft to other shaft, but, by using different size gears, they can alter the ratio between velocity and torque as they transfer them; a gear with many teeth driving a gear with fewer teeth will RESEARCH ARTICLE OPEN ACCESS Abstract: This study investigate the characteristics of a gear system including contact stresses, bending stresses, and the transmission errors of gears in mesh. Gearing is one of most critical component in mechanical power transmission systems. The bending stresses in the tooth root were examined using 3D model. Current methods of calculating gear contact stresses use Hertz’s equations and Lewis Equation which were originally derived for contact between two cylinders. To enable the investigation of contact problems with FEM, the stiffness relationship between the two contact areas is usually established through a spring placed between the two contacting areas. This can be achieve by inserting a contact element in between the two areas where contact occurs. The results of the three dimensional FEM analysis from ANSYS are presented. These stresses were compared with theoretical values. Both results agree very well. This indicates that the FEM model is accurate. This report also considers the variations of the whole body stiffness arising from gear body rotation due to bending deflection, shearing displacement and contact deformation. Many different positions within the meshing cycle were investigated. Investigation of contact and bending stress characteristics of spur gears continues to be immense attention to both engineers and researchers in spite of many studies in the past. This is because of the advances in the engineering technology that demands for gears with ever increasing load capacities and speeds with high reliability, the designers need to be able to accurately predict the stresses experienced the stresses by the loaded gears.

54-58

Authors: - IJETSudha .H. Ayatti , D.Vamsi Krishna , Vishwajeet .R. Marathe , Ameya .S. Patil

Industries have been a key part in the growth of a nation’s economy. The growth in industries has also lead to the growth of tragedies in the past decades, out of which majority caused by oversight or Human errors. This paper discusses a risk management system to detect hazardous gas leaks and the increase in temperature from the set value (or critical temperature) using a raspberry pi, MQ6 gas sensor and DS18B20 temperature sensor. Appropriate measures are taken by the raspberry pi such as switching on the exhaust fans, signaling alarms and alert notifications via an android application in a smart phone, with respect to the situation to minimize the risk of life and property

76-82

Authors: - IJETAnshika, Sujit Tak, Sandeep Ugale, Abhishek Pohekar

This paper is focused towards extraction of important words from conversations, and then these words are utilized to recover a small number of relevant documents, which can be given to users as per their needs. In any case, even a short audio fragment contains of large number of words, which are conceivably identified with a few topics and also, using automatic speech recognition (ASR) framework reduces errors in the output. It is difficult to provide the data needs of the conversation members appropriately. A calculation to remove decisive words from the yield of an ASR framework (or a manual transcript for testing) to support the potentially differing qualities of subjects and decrease ASR commotion is proposed. At that point, a technique is used to make many implicit queries from the selected keywords. These queries will in return produce list of relevant documents. The scores demonstrate that our proposition is modified over past systems that consider just word re-occurrence or topic closeness, and speaks to an appropriate answer for a report recommender framework to be utilized as a part of discussions.

94-96

Authors: - IJETSidharam Ambadas Basargi , Gopal Joshi

A Silencer is a part of the exhaust system of an automobile that plays a vital role. It needs to have modes that are located away from the frequencies that the engine operates at, whether the engine be idling or running at the maximum amount of revolutions per second. The purpose of the design project performed was to determine which modes are very high and may affect the automobile adversely while in operation. Research was performed prior to the test to determine which frequencies to look for modes at. It was determined to conduct the experiment so data from 20 Hz to 20 KHz could be collected. The force was generated by running the engine at different speed. Acceleration is measured by using FFT analyzer by selecting the points on the Silencer were chosen, after looking at the data and determined to be under damped. Therefore, our design study suggests increasing the mass, increase the damping, or providing a negative stiffness to make the silencer more damped. The purpose of this report is also to the study the harmful effects of noise caused by it on Engine. In India, the transportation sector is growing rapidly and number of vehicles on Indian roads is increasing at very fast rate. This has lead to overcrowded roads and noise pollution. Engine vibration is one of the major source of noise in vehicles. So, it is necessary to study noise generated by four stroke petrol engine. The study of noise generated by four stroke petrol engine is carried out with or without mufflers to check the effectiveness of the muffler.

102-108

Authors: - IJETR.C.Rohini, G.Srividhya

This project is proposed to integrate the Fuel cell emulator with a boost converter and load the DC motor and the performance analysis is done. Fuel cell as a renewable energy source is considered to be one of the most promising sources of electrical power. The characteristics of fuel cell is such that the DC power extracted from it is at low voltage level, this project proposes a prototype of a new power electronics based fuel cell emulator. After proposing a fuel cell emulator, it is integrated with a boost converter and DC motor is loaded. After the successful working of the boost converter, it can be directly connected with the actual Fuel Cell Systems (FCS) to satisfy the DC motor load which is integrated with fuel cell emulator and boost converter.

118-122

Authors: - IJETPriyanka Sharma

The classical or traditional information system provides answer after a user submits a complete query. It is even noticed that presently, almost all the relational database systems rely on the query which has syntax and semantics defined completely to access data. But often it is the case that we are willing to use vague terms in our query. The main objective of database management system is to provide an environment that is both convenient and efficient for people to use in storing and retrieving information. A recent trend of supporting auto complete is a first step to cope up with this problem. We can have design of both classical and fuzzy database and can use effectively fuzzy queries on these databases. Fuzzy databases are developed to manipulate the incomplete, unclear and vague data such as low, fast, very high, about etc. The primary focus of fuzzy logic is on the natural language. This Paper provides the users the flexibility or freedom to query database using natural language. Here this paper implements “interactive fuzzy search”. This framework for interactive fuzzy search permits the user to explore the data as they type even in the presence of some minor errors. This paper applies fuzzy queries on relational database so that it is possible to have the precise result as well as the output for the uncertain terms we generally use based on some membership function

128-131

Authors: - IJETAmit Kumar Dewangan, Akhilesh Kumar Shrivas, Prem Kumar

In medical science, Thyroid classification is one the important role for classification of thyroid diseases. Diagnosis of health condition is very challenging task for every human being because life is directly related to health condition. Data mining based classification is one of the important applications for classification of data. In this research work, we have used various classification techniques for classification of thyroid data. CART gives highest accuracy 99.47% as best model. Feature selection plays very important role to computationally efficient and increase the performance of model. This research work focus on Info Gain and Gain Ratio feature selection technique to reduce the irrelevant features from original data set and computationally increase the performance of model. We have applied both the feature selection techniques on best model i. e. CART. Our proposed CART-Info Gain and CART- Gain Ratio gives 99.47% and 99.20% accuracy with 25 and 3 feature respectively

139-143

Authors: - IJETDhanashree N Chaudhari , Pundlik N Patil

A mechanical torque transmission producing an output with variable controllable speed torque characteristics which compares a rotary input shaft adapted for attachment to the rotary power source connected to a main shaft. This invention relates to a mechanism transferring torque from one rotating shaft to another and in particular to a transmission mechanism that will enable an engine or motor to deliver power to a load at optimum torque and speed levels. Control can be utilized to activate or d eactivate the clutch also change the phase relationship of the driven eccentric masses device in order to vary the transmission output under varying load condition. Continuous variable transmission system plays a crucial role in order to guarantee the overall vehicle performance in different working conditions