E-Max is a device used to intimate patients to take their medications in time. The application provides the alerts to the hardware device. The patient’s health is related to the medications he/she takes on accurate time. Based upon wireless communication technology, the implementation of medical orders in real time automated reminder system will be introduced in this paper. This paper presents a summary of the designed device for monitoring the intake of medication on time by patients. It provides a single platform and a connection between patients and doctors. Eventually, in critical situations, the relatives can be informed of the situation immediately using the Emergency button. This application gives the real time implementation by using text messages to remind patients and adding reminder alarm to medical box.

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The system proposes dipole CPW (Coplanar Waveguide) fed antennas show better behaviour for the Wireless applications. This antenna used in wireless broadband communication due to its mechanical design simplicity and radiation properties. The broadband bandwidth and radiation pattern can be optimized using antenna geometry. The proposed antenna is used for precise operating frequency, where the frequency spectrum is 2.45 GHz and 5.5 GHz. To achieve the proposed frequency, the antenna is fed with Coplanar waveguide is implemented and measured with dimensions of mm with XY, ZX plan. To increase the bandwidth, first the mid-section of two short slots of either side of the single pole length is increased slowly to check out the maximum bandwidth. The method obtaining the operating frequency lies in the frequency band, the mid-section of long slot has to be decreased gradually; thus, operating frequency shows at 2.45 GHz and 5.51 GHz with return loss of −20 dB, and the whole design is viewed on the HFSS in proposed frequency at maximum bandwidth, and thereafter to check out the characteristics of antenna the parameters such as Return loss characteristics, VSWR, Azimuth pattern, Elevation pattern and 3D distribution pattern. To change the frequency value and get the output in the form of waves in the graph, and the gain value analyzed from the result graph.

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Today the new technologies are evolving to reduce the human efforts in each and every field. Many equipments are developed which are helping human beings for saving their time and even to make their work easy. Thus manual work is taken over by robotics nowadays. In this paper, an autonomous robot is proposed which will help to save time and reduce human efforts in cleaning a target area. This system has a battery power supply integrated in itself which increases the mobility of device. It is a simple, modern house holding device; even children can also operate it easily with safety. It is capable of performing sucking and mopping tasks, obstacle detection, and automatic water spray.

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In the present study pre-engineered building are design and studied in accordance with Kirby technical specification which is based on ASCE-07.Pre-Engineered steel buildings fulfils requirements of industrial steel structures along with reduced time and cost as compared to conventional steel building.

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Matlab has played very important role in biomedical and it has many technique we are working on image segmentation and by using matlab we can solve so many problem for example the accurate data of tumor to cure it. This project is mainly to solve the disadvantage of region based segmentation. As we knows the tumor is abnormal growth of tissue and MRI can’t tell the exact location of tumor up to now doctors were treating it by approximation and analysis so, to give complete information about brain tumor we are using image segmentation in matlab. This project includes noise removal technique (median filter), gray scale, thresholding, hist. equalization, segmentation and morphological operation (performing iterations). People affected by different category of tumor in India are 43%, 36% in US, and 31% in UK. By using this matlab based technique we can get accurate data for its size, location and stage of the tumor. Detection and extraction of tumour from MRI scan images of the brain is done by using MATLAB software (programming).

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The aim of the project is to design software which can evaluate the academic performance of the student by using the fuzzy logics. We made this project only to make the work of teachers easy to evaluate and easy to handle the delicate information and data related about their student academic performances .This software is to going to ease the work of the teacher and now they do not have to take the load because now this can handle their pressure. And the performance of this software is higher than the performance of any person and chances of fault and wrong evaluation is negligible until we enter the wrong inputs.

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The ultimate aim of the paper is to reduce peak demand in domestic sector. This is related to the issues of peak demand and lengthy, inaccurate billing process. In this paper time varying electricity pricing plans has been included. So, if consumer use electricity during peak hours has to pay extra charges of electricity. Time varying electricity pricing is to save over use of electricity during peak hour. In this paper we have proposed a system which is automatic billing system. This system is about to faster response, high accuracy in the calculations, reduce human efforts and time efficient.

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External dusting unit for Rubber tube. In this project will address the how air pressure is used in a powder coating. The purpose of the pressurized air high pressure air is used for coating and also filtered and recycling air is required to operate a powder coating. The pressurized air and their function will be discussed as well as how one components performance can affect another component. The project will end with proper guide line for pressurised air and maintenance by the college staff.

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Fingerprint Recognition is biometric technologies that are widely used now for authentication and security purposes. This paper is the implementation of the Fingerprint recognition for the Library automation purpose. As we know automation is the future every educational institution has to develop library automation to maintain a proper record of library students or staff for proper functioning of library. Designing a flexible and reliable authentication system is the goal so that records are maintained with ease and accuracy and develop a handy product.

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Secure communication in WSNs is important because information transferred in the networks can be easily stolen and hack or replaced. LSCD is an approach used to detect cloned nodes and without recovering from the cloned node information. Clone estimation algorithm is used to recover the original information from the cloned nodes and leads to a successful communication. Clone detection is processed in a non-hotspot region where a large amount of energy remains, which can improve energy efficiency as well as network lifetime. Wide simulations and demonstrate that the lifetime of the storage requirements, and then detection probability of our protocol are substantially improved over competing solutions from the literature.

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Rainwater harvesting is the accumulation and storage of rainwater for reuse on-site, rather than allowing it to run off. Rainwater can be collected from rivers or roofs, and in many places, the water collected is redirected to a deep pit (well, shaft) a reservoir with percolation, or collected from dew or fog with nets or other tools. Its uses include water for gardens, livestock, irrigation, domestic use with proper treatment, indoor heating for houses, etc. The harvested water can also be used as drinking water, longer-term storage and for other purposes such as groundwater recharge. Rainwater harvesting is one of the simplest and oldest methods of self-supply of water for households usually financed by the user.

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In this paper, Convolution Neural Network (CNN) and Gustafson kessel algorithm proposed with filter back projection for taking care of inverse problems in biomedical images. Different techniques were executed like iterative reconstruction strategy and so on. It gives great outcome yet there will be a few downsides. To beat this inconvenience, CNN and Gustafson kessel algorithm is executed in this paper. The beginning stage of our work is the perception that unrolled iterative reconstructions have the type of a CNN is trailed by point-wise nonlinearity when the normal operator of the forward model is a convolution. In view of this observation we propose utilizing direct inverse took after by a CNN to take care of typical convolutional inverse problems. The immediate inversion encapsulates the physical model of the framework, yet prompts artifacts when the issue is not well represented; the CNN consolidates multiresolution decomposition and residual learning so as to figure out how to expel these antiques while saving image structure. Positron Emission Tomography (PET) scanner is actualized for getting itemized data.

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Marking attendance in any organization used to be troublesome due to use of pen and paper scheme. Until today, most lecturers in universities are found still using the conventional methods of taking students' attendance either by calling out the student names or by passing around an attendance sheet for students to sign confirming their presence. In addition to the time-consuming issue, such method is also at higher risk of having students cheating about their attendance, especially in a large classroom. Therefore a method of taking attendance by employing an application running on the Android platform is proposed in this project. This application, once installed the student list can be provided individually or from already created excel sheet. Based on the provided list of students, the professor android hotspot used to connect the present student device wifi. Professor android device will then act like a scanner to scan each of the student android device MAC address using wifi manager class, to one by one confirm and verify the student's presence. The updated attendance list is then stored locally in the respective professor's android device. And can also be saved as a file to be transferred to a PC later on. This system will help to eliminate the current problems, while also promoting a paperless environment at the same time. Since this application can be deployed on lecturers' own existing Android devices, no additional hardware cost is required.

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This paper aims to address most popular and interesting problem from the field of classification. Choosing a suitable classifier for a given problem which itself has been a challenging problem that typically requires experimentation with different classification techniques. In our work, we try to address this question by investigating any relation that may exist between the dataset characteristics and classifier bias. Specifically, in our study, we categorize datasets based on their inherent Characteristics like imbalanced, missing value, noise, and different sizes of the datasets and investigate the performance of two classes of classifiers - five Machine Learning and five Statistical Learning classifiers. Machine Learning techniques scored over Statistical techniques in five categories out of seven categories of the datasets. Multilayer Perceptron was found to be the most robust classifiers in the class of machine learning classifiers and Bayes Net was found to be the most robust classifiers in the class of Statistical Learning classifiers.

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Security is essential worry for everybody. This Project depicts an outline of powerful security alert framework that can screen a submerged with various sensors. Gas Sides would sonar be able to identification and Leakage recognition can be checked by the status of every individual sensor and is shown with a LED, Buzzer Voice Recording and Playback Device and dial up rationale. These all is the way whether the sensor has been enacted and whether the wiring to the sensor is all together. In this undertaking we demonstrate that how we utilize the phone as a gadgets eye. With the assistance of any telephone we can know the situation of the house. In this rationale we append some sensor with the phone and if there is any mishappening at home at that point phone is programmed on and afterward circuit press the redial catch of the phone and after that phone dial the pre-dialed number and sense the voice message to the got end.The identification caution is worked around the AT89C51 microcontroller from Atmel. This microcontroller gives all the usefulness of the recognition alarm.It likewise deals with separating of the signs at the sources of info. A Leakage sensor can be associated with the Gas side output Sonar sensor caution. These sensors need their contacts shut when in the latent state (i.e. regularly shut). Number which is as of now customized into a framework. A portable number or a landline number can be customized into the framework. As this framework takes a shot at existing phone line, it can dial the number even the supporter is out of station. This undertaking utilizes managed 5V, 500mA power supply. 7805 three terminal voltage controller is utilized for voltage direction. Scaffold compose full wave rectifier is utilized to redress the air conditioner yield of optional of 230/12V stage down transformer.

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In this paper, by modifying the coplanar ground-plane, rectangular or square shape with slots in ground plane instead of horn shape. Micro strip line is used as patch in existing paper. This work modifies the patch array strip as per the result requirement. More than one application will be covered in lower spectrum of microwave (1-10GHz).The antenna works in 300 MHz frequency band. It covers three frequency band at 4.3GHz, second band at 6.5-6.9 GHz with bandwidth of 300MHz (0.3GHz),third band at 7.5-7.9GHz with bandwidth of 300MHz.It is destiny for small SAR radar and satellite applications. The array consists of 12 half-wave dipoles, configured in two rows with two elements in each. The antenna structure in dual-conductors line technique was made, based on standard FR4 substrate. For increasing directivity, the flat reflector has been used. These arrays operate at a frequency range of 4-8Ghz.The goal is to obtain a high directivity with better gain and reduced losses to be especially used for X band applications. Therefore the antenna can be fabricated easily and is suitable for mass production. At all operating frequency bands, the proposed antenna obtains the stable gains, symmetrical and stable unidirectional radiation patterns, low cross polarization, and low back lobe. With these advantages, the proposed antenna is a good candidate for multiband wireless communication.

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Today most of the transport vehicles in countries like India where cost effective is the predominant criteria utilize diesel engines rather than petrol engines. From past 5 years usage of diesel engines was rapid which can be addressed from the sales report of many automobile companies. The reason behind this could be cost of diesel fuel and efficiency of the diesel engine when compared to petrol engine. One of the main problems associated with diesel engine is the formation of high levels of NOx, which is a temperature-dependent phenomenon. In order to reduce NOx emissions from the engine, it is necessary to keep peak combustion temperatures under control. This paper aims at the critical review on the effect of Exhaust Gas Re-circulation (EGR) both cold and hot, on the exhaust gas temperatures, NOx emissions, efficiency etc. The exhaust gas temperature, Nox and hydrocarbon emissions, and efficiency were compared for different percentages of hot and cold EGR for diesel. The EGR system was a very effective way for reducing NOx emission from a diesel engine, particularly at the high load of engine operation condition.

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In recent years artificial neural networks (ANNs) have gained a wide attention in control applications. It is the ability of the artificial neural networks to model nonlinear systems that can be the most readily exploited in the synthesis of non-linear controllers. Artificial neural networks have been used to formulate a variety of control strategies. A qualified speed tracking and load regulating responses can be obtained by the proposed controller.

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This paper aims to develop Image processing based Optical Mark Recognition sheet scanning system. Today we find that lot of competitive exams are been conducted as entrance exams. These exams consists of MCQs. The students have to fill the right box or circle for the appropriate answer to the respective questions. This is a manual process and a lot of errors can occur in the manual process such as counting mistake and many more. To avoid this mistakes OMR system is used. In this system OMR answer sheet will be scanned and the scanned image of the answer sheet will be given as input to the software system. Using Image processing we will find the answers marked to each of the 50 questions by finding the region of interest and applying template matching algorithm. Summation of the marks & displaying of total marks will be also implemented. The implementation is done using JAVA and the image processing would be done in Open CV.

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This project presents how a redundant system can be built for a process plant without hindering its function. It makes use of Wonder ware Application Server to utilize the ArchestrA technology to connect to field devices, process data, run scripts, handle alarms, and historize alarms and events. This is achieved using features and functionality such as Automation Objects, templates, instances, the ArchestrA Integrated Development Environment (IDE) Wonder ware Application Server (ArchestrA) Systems are used in photovoltaic (PV) power plants for monitoring, control, remote communication purposes. The ingredient of ArchestrA system in Oil & Gas plants is introduced in this Project. In order to improve security and reliability of the SCADA system in plants, this project provides effective solutions redundancy mechanism. Device and network redundancy is presented in the SCADA system. And redundancy switching mechanism has been implemented through four redundancy services. The availability of the SCADA system can be validated through SCADA configuration server.

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The world has unfathomably profited with the headway of innovation and knowledgebase which has realized tremendous financial advance and therefore raised the way of life of mankind incomprehensible. Among the numerous assets which have had a noteworthy influence in the development, the part of petroleum derivatives has been verifiably the very huge. In any case, the stores of these 'non-sustainable' petroleum derivatives are quickly declining and at rate of development of the mankind, the weariness of these assets in not so distant future is unavoidable. This has been the one of the significant reasons for worry in the current past. The other real worry in the present day has been declining condition of condition. Thus, finished the previous 40-50 years, the concentration has moved towards discovering arrangements which battle these issues, with the real zones of fixation being – proficient use of vitality assets (petroleum products) in different applications like industry, transportation and so on., discovering elective as well as sustainable power source assets to supplement/supplant the non-renewable energy source, better control procedures and treatment strategies to lessen contamination. An option for sparing the vitality, squandered on account of decelerating or backing off the speed of a vehicle is KERS. KERS remains for Kinetic Energy Recovery System, the term of which clarifies about the idea of vitality preservation. The presentation of KERS is a standout amongst the hugest specialized presentations for the ordinary (non-crossover) vehicles. KERS is a vitality sparing gadget fitted to the motors to change over a portion of the waste vitality delivered amid braking into more helpful type of vitality. The framework stores the vitality delivered under braking in a repository and after that discharges the put away vitality under increasing speed. The key reason for the acquaintance is with altogether enhance the mileage without trading off with the execution of the vehicle.

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Security is an essential component for mobile ad hoc network (MANET). In order to provide security against attacker, researchers are working specifically on the security challenges in MANETs, and many techniques are proposed for secure routing protocols within the networks. Our proposed work presents a more efficient solution for detecting a black hole attack with less communication cost in the MANET, which is particularly vulnerable compared to infrastructure-based networks due to its mobility and shared broadcast nature. As an adversary can successfully deploy black hole attack in the network. It can be seen that proposed work is more secure than the existing solutions. We also compared its performance to standard AODV routing protocol. The experimental results show that the proposed approach is better than standard AODV.

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Three pilot-scales Vermi Sludge Treatment Wetland (VSTWs) have been constructed and operated treating sewage sludge from Wastewater Treatment Plant (WWTP), Ichalkarnji, and Dist-Kolhapur. Quantification of the dewatering mechanisms in these systems (i.e., evapotranspiration and draining) is attempted here, and the effects of different parameters, i.e., the level of sludge loading, the presence of plants, the substrate materials used etc., on these mechanisms are presented. Results reveal that evapo-transpiration is the major dewatering process that takes place in STW systems, accounting for 58–84% of total water losses, depending on unit characteristics, sludge loading, season and other parameters. Draining follows in significance, with respective values varying from 13% to 47% of total water losses, while 1% to 4% of water remains in the sludge layer. The presence of wetland plants was found necessary, since it improved the dewatering efficiency. Precipitation and temperature were also found to affect the dewatering process under climatic conditions. Since Earthworms are used change in solid concentration is observed. Also as they survived in sludge, the final bioproduct has a good fertile quality.

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The level of pollution has increased with time by lot of factors like the increase in population, increased vehicle usage, industrialization and urbanization which results in harmful effects on human wellbeing by directly affecting health of population exposed to it. In order to monitor in this project, we are going to make an IOT Based Air Pollution Monitoring System in which we will monitor the Air Quality over a web server using internet of things over a cloud server means when there is sufficient amount of harmful gases present in the air like CO2, CO, smoke, alcohol, dust and NH3. It will show the air quality in PPM on the LCD and as well as on cloud server (things speak) so that we can monitor it very easily. We have used MQ135, MQ7 and Dust sensor which are the best for monitoring Air Quality as it can detect most harmful gases and can measure their amount accurately. In this IOT project, you can monitor the pollution level from anywhere using your computer or mobile. We can install this system anywhere and can also trigger some device when pollution goes beyond some level, like we can switch on the Exhaust fan or can send alert SMS/mail to the user.

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Many systems use servers to manage and store their data, sometimes the servers are slowed down because of multiple user requests. Most of which are attackers or unauthorized users and some are legitimate users. In computing, a denial-of-service (DoS) attack is an attempt to make a machine or network resource unavailable to its genuine users. A distributed denial-of-service (DDoS) is where the attack source is more than one, often thousands of unique IP addresses are included. Flooding is one of the typical DDoS attacks that exploit normal TCP connections between a client and a target web server. In this project we are trying to devise a DDoS anomaly detection method on Hadoop that implements a Map Reduce-based detection algorithm against the Flooding attacks.

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