In recent years, the prevention and monitoring of Forest Fires has become a global concern in Forest Fire prevention organizations. At present, traditional forest fire monitoring measures include ground patrolling, watching tower, aerial patrolling, long-distance video monitoring and satellite monitoring and so forth. In this paper, we study on the problem of forest fire detection system design, and make a preliminary exploration for forest fire smoke concentration monitoring and rehabilitate the security level for trees which have high demand in market like teak, Sandalwood, etc. It also provides effective means of enhanced communication between trekkers.

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Nowadays workers in coal mines are died through coal mine disasters. To overcome the death rate in the coal mine, we are designing a robot using virtual reality. In robotics, VR has been used to control robots in telepresence & tele robotic systems. By this technique, can easily understand what is happening on the underground mine. The robot transfers the information about the current status of the coal mine environment in live form. Compared with actual robot, VR based robots can provide the information with more accuracy with less time requirement. The virtual reality robot is generally a robot which is controlled by the human from the control station. The robot consists of various sensors like, temperature, humidity, fire, vibration, motion. These sensors generate the environment information for better operation of robotics. The information's about the environmental conditions are gathered and transfer it to the arduino i.e. Microcontroller. Then the controller transfers the data to the Wi-Fi module. Through the Wi-Fi, the data transfer to the control station.

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In image processing, blur means unwanted reduction in bandwidth, which degrades the quality of the image. In this paper, the versatile Wiener filtering method is used to remove the blur in image. A versatile weighted averaging way is used to deal with evaluate the second-arrange insights required by the Wiener filter. In this, wiener filter minimizes the mean square error between the restored image and the original image. Then finally, the performance parameters are analyzed using PSNR, MSE and elapsed time values.

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In this paper, we establish a new expansion formula involving I-function of two variables. Some particular cases, relevant to the present discussion, are given at the end of the paper.

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As the numbers of two wheelers on the road are increasing accidents due to them are also increasing day by day. A brisk helmet is a type of protective device for the bike rider which ensure safer driving. Our project introduces a system helmet usage mandatory and also to improve the night ride with smart headlamp control system. The first step is to check the helmet is worn or not and just after that check the rider breath for alcohol content only if both conditions are satisfied then ignition will start otherwise it will remain off till helmet is not wear.

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Borosilicate glass is one of the most regularly used amorphous engineering materials. Brittleness of this glass puts limitation on its machining by conventional machining processes. The objective of experimental investigation is to conduct research of machining parameters impact on MRR and Surface roughness of Borosilicate Glass. In this Study, Response Surface Method is used to find optimum parameters for abrasive water jet machining (AWJM). The process parameters selected for this experiment are water pressure, abrasive flow rate and jet traverse speed. Box Behnken Design will be used for the Design of Experiment. ANOVA and Regression Analysis Will be carried out for Verification of Model. The determined optimum combination of AWJM process parameters satisfy the real need for machining of Borosilicate Glass in actual practice.

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The main objective of this project is to develop and establish of Cutting procedure by WEDM and investigation of Cutting characteristics of most commonly used D2 Tool Steel Plate. To perform the experiment, an experimental design matrix was constituted using the design of the experiments. For this purpose, in the Taguchi method, L27 Orthogonal Array was chosen as a statistical tool to build an experimental layout and for the Optimization Taguchi Method. Half Hard Zinc Coated wire will be used for Performing the Experiment on WEDM. Three Process parameters Wire Speed, Pulse ON and Pulse OFF and Wire Feed has been Selected for the Experiment and Other Factors Will be considered as Constant. Cutting Characteristic will be evaluated by Two Responses, Cutting Speed and Kerf Width. ANOVA and Regression Analysis will be performed for Analysis and model Verification and Optimization will be performed by Design Expert Software.

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Data mining is the process of turning raw data into useful information. The main use of data mining is to fetch the required data and extract useful information from the data and to interpret the data. In the existing system, Bag of Words model is used along with Dual sentiment Analysis in order to classify the reviews as positive, negative and neutral. However, the performance of Bag of Words sometimes remains limited due to some fundamental deficiencies in handling the polarity shift problem. The proposed system uses a dictionary based classification for accurately classifying the reviews as positive, negative and neutral. The proposed system additionally analyses the flaws of the existing systems and thereby propose two major features such as identifying the negation oriented sentiments and the conjunction oriented sentiments which require the analysis of pre-conjunction and post conjunction sentences. So the ambiguity is reduced by analyzing such conjunction and negation based sentences. To enhance the accuracy in the classification of neutral reviews, Dual sentiment analysis method is implemented. Both the product owner and the user can identify the quality of the product based on the sentiment graph that is generated based on the reviews for each of the product.

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The replacement of cement with Marble Dust Powder (MDP) provides a durable modification in compressive strength, making them compatible for the manufacturing of concrete. The replacement of materials offers cost reduction, energy savings and protection of environment. This would save not only the natural resources and energy but also protect the environment with the reduction of waste material. The strength development of the concrete is increases of marble powder as its age increases. For partial replacement of cement with marble powder (8%) in concrete got maximum compressive strength as compared to conventional concrete, the strength development of the concrete is more increases in lower grade of concrete as compared high strength concrete.

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The Rapid growth in technology and infrastructure over the past few decades has made our lives easier. With the advent of technology, the number of accidents and traffic hazards have also increased to a greater extent which causes huge loss of life and property and this is because of the poor emergency facilities. On road accident is actually a major issue of concern and in fact, speed is one of the basic reasons for these vehicle accidents. Timely accident detection and taking immediate action such as informing a hospital or a police station about the accident plays a vital role in human safety and road traffic management. Even though it is required for Emergency Vehicles (EV) to reach its destination as soon as possible, but due to congested traffic and time lag in giving them enough priority to pass through the traffic signal causes delays, putting human life at a higher risk. To enhance the level of supervision and administration for load transport vehicles, particularly trucks which are carrying coal it is vital to create transport vehicles remote observing module. The cloud will be continuously waiting for the information from the system which should record position of the vehicle. The cloud contains the information about speed and position of the vehicle. The intelligent traffic light controller that was introduced to saves the waiting time and avoids the traffic load. With an embedded sensor network technology, the congestion road is detected and managed accordingly with controllers. In these days the Wireless Sensor Networks (WSN) will be applied in different areas like health care monitoring, weather monitoring, home automation, military, safety and security and so on. Global positioning system (GPS) is used by the satellite based navigation, which is used to receive and send the signals and it will serve the client with required data. The cloud will send the exact location and position of the vehicle to ambulance through the mail. With the help of GPS and cloud vehicle is traced. The RF Transmitter and RF Receiver is used for ambulance rescue near signal.

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In this paper the analyses and design for the bridge embankment have been made and the study of its construction techniques is also explained. Excel and Plax is 2D software are used for analysis of stabilities and response of the structure. The bridge embankment consists of skin, fill and soil reinforcement. The stability of embankment depends on surcharge load, soil fill and soil reinforcement. Para-web technology is a modern method for soil reinforcement in embankment to replace Geo-grid. Mechanically Stabilized Earth method is adopted for construction of artificial embankment and Precast RE wall panels are used as skin. Different types of filling materials can be used of which fly ash is found to have higher strength than other alternative materials. This paper can help the future to construct artificial bridge embankment in a simple and faster ways where less skilled labours are required.

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Turning process is one of the method to remove material mainly from cylindrical work materials. The process of turning is influenced by many factors such as the cutting speed, feed rate, depth of cut, nose radius, hardness of tool, cutting conditions etc. The finished product with desired quality targets such as surface roughness and cutting forces developed which are Responses of these input parameters. Properties such as wear resistance, fatigue strength, coefficient of friction, lubrication, wear rate and corrosion resistance of the machined parts are greatly influenced by surface roughness. In many manufacturing processes engineering judgment is still relied upon to optimize the response. Hence the present work demonstrates the optimization process of surface roughness of Computer numerical control lathe machine (CNC) by using Response Surface Methodology (RSM) By using 3 level factorial design in Minitab V17, the experimental run setup were designed . The process has been successfully modeled by using response surface methodology (RSM) in Minitab 17 and model adequacy checking is also carried out and the response models have been validated with analysis of variance and response optimizer function. The objective of this Work is to evaluate the optimal setting of cutting parameters such as cutting Speed, depth of cut, feed of the tool to have a minimum surface roughness. In this experiment the work material of AISI 8620 alloy steel was turned by using CVD(chemical vapor deposit) coated tool insert.

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With huge data boom in biomedical and healthcare groups, accurate evaluation of medical statistics advantages early sickness detection, patient care and network offerings. But, the evaluation accuracy is reduced whilst the exception of scientific information is incomplete. Moreover, different areas show off precise traits of certain local diseases, which may additionally weaken the prediction of disorder outbreaks. On this paper, we streamline machine, getting to know algorithms for powerful prediction of continual disease outbreak in disorder- common groups. We test the changed prediction fashions over real-life sanatorium facts accrued from China in 2013-2015. To acquire the issues of incomplete statistics, we are using a latent element model to redesign the missing data sets. We have done experiment on a local chronic disease of cerebral infarction. We analyze a new CNN (convolutional neural network) primarily based multimodal sickness chance prediction convolutional neural network- multimodal disease risk prediction (CNN-MDRP) algorithm using structured and unstructured data from hospital. To the great of our information, none of the current paintings focused on each fact sorts in the vicinity of medical massive data analytics. Compared to numerous usual prediction algorithms, the prediction accuracy of our proposed algorithm reaches 94.8% with a convergence velocity that is quicker than that of the CNN-based unimodal disorder hazard prediction (CNN-UDRP) algorithm.

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In this project, a new general cascaded multilevel inverter using H-bridges. The proposed topology requires a lesser number of PV voltage sources and power switches. It consists of lower blocking voltage on switches in which the switching sequences are arranged in pulse width modulation, which results in decreased complexity and total cost of the inverter. These abilities obtained within comparing the proposed topology with the conventional topologies from aforementioned points of view. Moreover, a new algorithm to determine the magnitude of dc voltage source is replaced by PV panel is proposed. The performance and functional accuracy of the proposed topology using the new algorithm in generating all voltage levels for a 31-level inverter are confirmed by simulation and experimental results.

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With the increasing importance being given to the machines for carrying out the earth moving task the need for carrying out proper designing and finite element analysis of such earth moving equipment is increasing by leaps and bounds. As these are heavy duty equipment and many different kind of weld are here to dominate the strength of overall structure, it become utmost necessary to carry out various calculations for the life estimation .More over in this era of globalization and cut throat competition it is sufficient that the machine should perform satisfactory but also it is very important to carry out analysis to reduce the chances of failure. The model given was of an excavator’s arm, is generated by using CAD software CATIA V5, which is used as the input for the finite element analysis. Solid model once generated can be used to carry out finite element analysis on it. Analysis procedure consists of the following tasks to obtain the final results of static analysis which is used as input for fatigue and crack analysis. 1) Meshing the model using suitable elements. 2) Assigning the material properties to the meshed model. 3) Applying the boundary constraints. 4) Applying loads on the model. 5) Post processing of the results to view the solution. Various stress plots and displacement plots are obtained as results. The software used to carry out the analysis is Hyper-Mesh 8.0. For post processing of the results ABAQUS 6.8.3 and IDEAS 9 is used. For calculation of fatigue life two approaches viz. Stress-life and LEFM were used. Three different stresses values were taken far the stress-life approach for life estimation. The best method is justified. For crack analysis the results of stress analysis were taken as input and the at the weld interface zone various load calculation and size evaluation were performed manually. Later the life is estimated using suitable method through LEFM.

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A Time series is a collection of observation made sequentially in time. Time series analysis comprises methods for analyzing time series data in order to extract meaningful statistics and other characteristics of the data. Mining association rule is one of the common forms in data mining, in which the critical problem is to gain the frequent item-sets efficiently. In this project we are using two algorithms. Through Apriori and optimized Apriori algorithms frequent item sets are generated which would be used for analysis of data .Real time transactional data is being used on which rules generated through algorithm are applied in order to get statistics of products sold. This project reduces a lot of time required to generate results so as to increase sales, product etc. In the end result generated through both algorithms are analyzed.

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Electrical power theft detection system is used to detect an unauthorized tapping on distribution lines. Implementation area of this system is a distribution network of electrical power supply system. Existing system is not able to identify the exact location of tapping. This system actually finds out on which electrical line there is a tapping. This is a real time system. Wireless data transmission and receiving technique is used. This will provide an additional facility of wireless meter reading with the same technique and in same cost. This will protect distribution network from power theft done by tapping, meter tampering etc. Keywords: Electrical power theft, wireless data transmission and receiving, tapping, meter tampering.

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In this review paper, we have studied various recent research articles of different authors for finding out the parameters, variables and factors which affects the structural performance of knuckle joint which used to connect two mechanical rods. Knuckle joint is frequently used in tractor trailer of various automobile companies. It suffers various forces and stresses in the condition of loading. Minimizing these stresses is of very much importance and we find out the variables and factors such as material of construction, optimization methods, stress concentration, geometrical dimensions and mechanical construction, finite element analysis meshing methods, weight reduction and life cycle. These are the parameters which can be optimized for getting better results of structural performance enhancement.

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Aim of this project is to control the unmanned rail gate automatically using embedded platform and Internet of Things. This project is developed in order to help the Indian Railways in making its present working system a better one, by eliminating some of the loopholes existing in it. This system is to manage the control system of railway gate using the microcontroller. The main purpose of this system is about railway gate control system and level crossing between railroad and highway for decreasing railroad-related accident and increasing safety which is implemented using Internet of Things. In addition, it also provides safety road users by reducing the accidents that usually occur due to carelessness of road users and errors made by the gatekeepers. The program for this project is embedded in this Microcontroller Integrated Chip and interfaced to all the peripherals. The timer program is inside the microcontroller IC to maintain all the functions as per the scheduled time. Keil compiler is used for the making of code and hex file.

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An antenna is an electrical device which is constructed by current conducting element. Antenna is a transducer which converts the radio frequency into alternative current is known as receiving antenna and alternative current is transmitted in the form of radio frequency is called transmitting antenna. The basic microstrip antenna consist of a rectangular patch is mounted on substrate and the ground plane is used at bottom of substrate. Both patch and ground is perfect electric conductor. There are many types of dielectric substrate material such as FR4 epoxy, Rogger, Arlon, glass. These substrates are having different properties like height, dielectric constant, relative permittivity. There are four types of feeding techniques like line feeding, coaxial cable feeding, aperture feeding, proximity feeding. The strip which is connected to patch is known as microstrip feed line. A Fractal shaped antenna for GPS and aircraft surveillance application is introduced in this paper. This design exhibits the behaviour of multiband fractal geometry having acceptable value of Return loss (RL), VSWR and Gain (G). Then geometry of proposed antenna has been investigated until good value of gain has not obtained at lower frequency L1 (1.2 GHz) and L2 (1.575 GHz) which is suitable for GPS. Due to small in size antenna can used in handheld device like aircraft surveillance. Result of proposed antenna show multiband behaviour and work on four resonant frequencies (3.1 GHz, 4.5 GHz, 7.1 GHz, 9.6 GHz). On other hand modified antenna covers two resonant frequencies (1.1 GHz, 6.9 GHz). The simulated result of modified fractal antenna shows 600 MHz bandwidth and 6.6 dB gain. The proposed antenna is simulated in High frequency Structure Simulator (HFSS) software tool.

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It has been observed that the young generation two wheeler more as compared to four wheeler. According to a survey, more than half of them just avoid wearing helmet without any specified reason. The objective of the smart safety helmet for motorcyclists is to detect and report accidents using sensors and also to increase the road safety among motorcyclists. The some of the main reasons for deaths are observed to be over speeding, delayed accident reporting, drunk driver and lack of helmet with the driver. The helmet is developed to avoid such conditions with certain sensors and other peripherals attached to it which will help to overcome the carelessness of the driver. As soon as the accident is detected, the accelerometer is communicated and the variations are monitored. The use of Global Positioning System (GPS) can be used to obtain the location of vehicle. The helmet contains an intelligent headlamp technology that observes the facial movement of the rider and react accordingly using small direct electric motors installed in it. The smart helmet will contain a safety system inside it which works as a remote, as in the engine of the bike will only start if the two conditions are satisfied which are- rider is wearing a helmet and its belt buckled and the driver is not drunk (which can be detected using inbuilt alcohol sensor). The other safety feature is an alarm which rings when driver exceeds certain speed limit.

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In this project work the investigation of thermal performance of heat pipe is carried out with using hybrid nanofluid, which is the combination of TiO2 and CuO with DI water. And compare it with the result of single nanofluid in heat pipe. The TiO2 is no toxic, easily available with great dispersion stability and CuO gives the maximum thermal conductivity. So the performance of these two with combination as hybrid nanofluid in heat pipe will carried out. The heat pipe is very effective tool used for the heat transport as well as cooling purpose. Heat Pipe gives better performance and the rate of heat transfer enhancing by enhancing the thermal conductivity of working fluid. Result gives the higher thermal conductivity decrease the thermal resistance and improve the heat transport capacity of heat pipe.

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A Density-based spatial clustering o application with noise (DBSCAN) is a data clustering algorithm is density based algorithm to find clusters of arbitrary shapes. This algorithm is used to find the clusters in discretionary images or shapes, size and also filter out noise. There are lots of algorithms are invented to improve DBSCAN algorithm in many different ways like time complexity, efficiency, performance. In this research such algorithm will be develop that can work in the distributed environment using the Eclipse Helios with java language that will reduce time o the existing algorithm and dataset are different and also different site, it will work with the single node and check or find the proper or suitable result in the distributed environment.

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An experimental investigation has been carried out to analyze the performance and emission characteristics of a compression ignition engine fuelled with biodiesel and its blends 20%, 30%, and 40% in mineral diesel. The biodiesel making process is two major steps. First preheating process and second convert to biodiesel. Preheating is waste fried oil to heat 60ºc. And convert the biodiesel by using transesterification method. Take methanol of 20% on net amount of the waste fried oil and catalyst KOH of 9% on net amount of the methanol, mix this two chemicals in properly and this composition is add drop by drop in oil this process is maintain 70ºc at 900 rpm by using hot plate magnetic stirrer apparatus. The performance parameters evaluated include thermal efficiency, brake power, specific fuel consumption and exhaust emissions include mass emissions of CO, CO2, HC, NOx and smoke opacity. The results of the experiment in each case were compared with baseline data of mineral diesel. Significant improvements have been observed in the performance parameters of the engine as well as exhaust emissions, when lower blends of biodiesel. The gaseous emission of oxide of nitrogen from all blends are lower than mineral diesel at all engine loads. Biodiesel blends with diesel can replace diesel for operating the CI engines giving lower emissions and improved engine performance.

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Agent-Oriented Software Engineering is the one of the most recent contributions to the field of Software Engineering It has several benefits compared to existing development approaches, in particular the ability to let agents represent high-level abstractions of active entities in a software system. Agent-oriented software engineering (AOSE) is rapidly emerging in response to urgent needs in both software engineering and agent-based computing. While these two disciplines co-existed without remarkable interaction until some years ago, today there is rich and fruitful interaction among them and various approaches are available that bring together techniques, concepts and ideas from both sides. In this paper I will discuss the conceptual foundation of agent oriented software development by relating the fundamental elements of the agent oriented view to those of other, well established programming paradigms, especially the object-oriented approach. In this paper we discuss especially the relation between object-oriented and agent-oriented methods is particularly interesting because they seem to be closely related.

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