Welcome to International Journal of Emerging Technologies in Engineering Research (IJETER)


Volume 6, Issue 10, October (2018)

S.No Title & Authors Full Text
1 An Experimental Investigation on Flexible Concrete
M. Sasi Rekha, T. Akshaya
Abstract - Flexible concrete is composed of all the ingredients of a conventional concrete but the coarse aggregate is replaced and reinforced with polymer fibers. The flexibility of concrete is determined by ductile behavior of concrete. The scope of this study is to improve the ductility of conventional concrete by addition of polypropylene fiber (PP). Properties of polypropylene fiber reinforced concrete (PFRC) and flexible concrete (FC) were studied by casting samples using this fiber. Totally 178 specimens were cast. Preliminary test were carried out on 30 cubes of size 150x150x150 mm and beams of size 500x100x100 mm with two different mix proportions, replacing cement with fly ash and silica fume and fiber contents of 0,0.06,0.12,0.18,0.5,1.0% using Naphthalene based SP, which was found to be ineffective in achieving the workable concrete. From the preliminary test , 1:1.75:2.18:0.40 mix proportions with fiber contents of 0,0.05,0.10,0.15,0.20% and polymer based SP were chosen for casting 30 cubes , 30 disc, 30 beams. The properties of concrete vise ductility, flexural strength, load – deflection behavior, impact strength, stress – strain behavior and compressive strength were studied for all the five series. Also experimental work on FC was carried out on 16 slabs of size 500x110x15mm with fiber contents of 0, 0.5, 1.0, and 1.5% using CM 1:2 to study the flexural strength and load - deflection behavior. Addition of 0.1% PP fiber in PFRC increases the ductility index by 280%, ultimate mid span deflection by 341%, flexural strength by 16%, Modulus of Elasticity by 42%, impact strength by 163%, but decrease the compressive strength by 38% at 0.2%.Addition of 1.0% PP fiber in FC increases the flexural strength by 7.2%. Post crack deflection is 14 times at 1.5% but the workability decreases beyond 1.0%. Therefore addition of 1% PP fiber in CM 1:2 produced the flexible concrete.
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2 Hybrid Encipher to Protect Data on Shared Preferences
Anukul Dixit, Krishanu Das, Ronak Harish Patil, Brinda.S
Abstract - In this present world different Android applications develop data on internal memory with Shared Preference interface. Due to this many loop holes can access the important information like passwords. Therefore, we propose an encryption system that would secure the confidential data through source code. We create an application and supply some data using Shared Preference. Then we apply the Encryption approach with Android Keystore system and an encryption method to hide important data.
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3 Smart Mirror Using Raspberry Pi Model 3 B
Anukul Dixit, Krishanu Das, Ronak Harish Patil, J. Sivapriya
Abstract - With the never-ending invention of the new technologies there is no limit to making the devices smarter than they exist in today’s world. The reflecting surfaces like mirror provides the user an interactive environment and more personalized feeling along with the display of the information. This paper shows us how to design and develop an interactive smart mirror using Raspberry Pi 3 Model B+. Features like facial recognition helps in the smart unlocking process and features like voice recognition and touch sensitivity makes the user experience easy, better and more interactive. The mirror provides various basic amenities like weather, news, maps, daily schedule and much more.
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4 Efficient Distribution of Water using Machine Learning Techniques
Aruna.A, Mayukh Dasgupta, Ankur Ankit, Eenesh Chavan
Abstract - Every country despite of having proper water distribution database is not utilizing it for the common good. Various water distribution corporations possess valuable data that if used in the proper methodologies can not only reduce human labor and increase efficiency but also be cost effective. Artificial Neural Networks (ANNs) have been brought into the scenario to accomplish the above maintained task. It has been found that there's plenty of scope of applying Machine Learning techniques in efficient water distribution. Delay in implementation of such methodologies are due to lack of in-depth knowledge about the techniques and lack of visualization. Continuous research has been going on in this field where different kinds of ANNs has been used for prediction of water flow in a WDS (Water Distribution System). Such readings can be further used to build an efficient WDS that will efficiently distribute water in every household. Time stamp prediction models are generally preferred for such approach as comparison of previous and current scenario is necessary for better future prediction.
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5 Secured E-Banking System using Artificial Intelligence
R. Augustian Isaac, Prakhar Chaturvedi, Pradip Gareja, Rohan Grover
Abstract - The issue of design and security is very predominant in any financial and business organization, especially such organization as a bank. Therefore, we intend to aid in security of the bank by bringing in an Artificial intelligence system that involves an individual to get an access to some items using face and voice recognition security system. This AI system is not just a normal password lock system that require a user to insert password and gain access to some items, it is a system that has an administrative authentication. In addition, with this kind of security authentication system we intend to implement, a highly secured AI feature, which enables the user with assured and highly secured transactions using their personal frame. Here an individual have to provide the face and voice authentication, which uses different algorithms, and is read by the AI server for clarification and verification. From this project, we hope to build an alternative and highly verified security for banks.
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6 Digital Health System in vehicles with Artificial Intelligence Configuration
J. Shiva Nandhini, Ranjan Kumar Jaiswal, Prakhar Chaturvedi, Rohan Grover
Abstract - After long advancement in human health detection, the need of being alerted about health while seating in a vehicle in real time is paramount to everyone. Cardiac diagnosis in two wheelers and cars for riders and drivers using carotid nerve with heart rate sensing device is aimed at acquiring and analysing the data. The advent of Internet of Things have transcend the communication in real time. In this paper, we conduct feasibility of communication of heart diagnosis in real time with Internet of Things paradigm and detection scenario of the real time images using tenser flow of machine learning and data privacy aspects.
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7 Biometric Security System Using Arduino for Vehicles
Rohan Chandra Pradhan, Saumya Rai, Smit M Shah, Brinda
Abstract - Objectives: This paper advance a noble system to prevent vehicle from thefts. This system provides a fingerprint security to unlock the vehicle. If an unauthorized person tries to steal the vehicle, user will be notified in its registered mobile number. Along with that if the vehicle moves from its position, an alert message will be sends to the authorized user. Methods: Fingerprints of the authorized user is first stored in the memory of the system. If the fingerprint matches with the stored ones then the controller triggers the powering circuit and the engine starts else if the burglar tries to start the car it will sends the alert message to the owner and if the vehicle moves from its location it will send an alert message along with the GPS location of that vehicle. Findings: The system is implemented using Arduino Uno. The GPS, GSM, Wi-fi module and a SD card is additionally associated with the board. Along with that the system incorporates certain other sensors to stop the car burglary. Application: The system works well with low-price range vehicle employed with keyless entry and is unique because it uses IOT to protect the vehicles.
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8 Gas Leakage Detection Using IOT Tools
T.H. Feiroz Khan, Disha Dikshita Behera, Riya Sidha, Anisah Manouwar
Abstract - The security of every single family unit is especially required these days, therefore numerous controls are utilized to stop gas blast dangers. The framework proposed utilizes IOT gadgets to recognize spillage of gas in and aides in the location of human nearness close to the gas spillage source. On the off chance that the distinguishing proof comes up short, then the gadget puts a self-clock of 10 minutes and communicates something specific alarm making the alert ring. Following 10 minutes if there is no human recognition then the primary gas pipeline will itself kill. The essential rule behind the caution discovery is the adjustment in the centralization of air.
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9 Flight Delay Prediction using Binary Classification
Roshni Musaddi, Anny Jaiswal, Pooja J, Mansvi Girdonia, Minu M.S
Abstract - Nowadays, aircrafts have become a necessity because they easy life. They are efficient in carrying goods and passengers around the world. It also supplies emergencies in warfare and takes a vital role in carrying medical necessities. Hence, advent of airplanes is considered important. Delays in aircrafts can affect thousands of people across the globe either directly or indirectly. There are a lot of reasons of delays in aircrafts such as critical weather, security issues, traffic and many more. There are several methods proposed to predict the flight delays but due to various complexities of the ATFM and the huge datasets involved, it has become very difficult to find an accurate solution for this complication. Many algorithms have been implemented to forecast flight delays. We are using Python in Visual Studio Code. We implement Binary Classification to prepare a model that can predict the delays.
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10 Route Planning for Ships during Emergency Situations using Genetic Algorithm
MS.Minu, Ram Abhilash V, Bhaskar Dey, S.Venkatesh, Vignesh Kannan
Abstract - During sea navigation, plotting an efficient route is highly essential. Simple target specific algorithms like Dijkstra Algorithm are generally used for this purpose. But these algorithm are not helpful during emergency situations when solutions are not optimal enough due to technical limitations.Thus, the authors propose the use of Genetic Algorithm(GA) in critical conditions to reach destination optimally or as closely as possible. GAs were proposed many times for sea navigation but are replaced with target specific algorithms due to delayed time in path-finding. This paper discusses the need of GA in emergency situations such as low fuel or ship damage (time constraint) where it can be used to find all possible paths by modifying the fitness function. The obstacles are plotted using ARPA system installed in the ship. The collective data is used to run simulations to find the optimal route. Once the optimal route is found, the ship can follow the course and will not exceed the constraints.
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11 Digital Health System with Artificial Intelligence Configuration
R. Augustian Issac, Ranjan Kumar Jaiswal
Abstract - After long evolution in human health detection, the need of being alerted about health in real time is paramount to everyone. Cardiac diagnosis in two ways can be done using carotid nerve and wrist nerve with heart rate sensing device is aimed at acquiring and analysing the data. The development of Internet of Things have overstep the way of communication in real time. In this paper, we conduct feasibility of communication of heart diagnosis in real time with Internet of Things paradigm and detection scenario of the real time images using tenser flow of machine learning and data privacy aspects.
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