Recently, the value of big data is being considered important. Also, the government, public institutions and private enterprises began to be interested in big data. Now, data has a lot of values, unlike the past. With the emergence of various planning and analysis techniques which are based on this data, big data is being established as a foundation for new high-level information creation and decision making advancement. This study aims to find an alternative for illegal parking using this big data. For achieving this purpose, this study attempted an approach to the plan to improve illegal parking using big data facilities. In this study data about illegal parking areas and vehicle location was detected using GPS technology and data about vehicle was collected through vehicle detection chip which contains all the information about vehicle and owner of that vehicle. Data collected using GPS and vehicle detection chip was then analysed by Big data techniques.

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We have actually created an open as well as a modular program for data science as well as big data analytics utilizing an operations standard that enables trainees to conveniently experience big data via an innovative yet very easy to make use of a tool that is a smart process system. A vital facet of this job is making use of semantic workflows to record and also recycle end-to-end analytic methods that professionals would certainly make use of to examine big data, and also using a smart process system to clarify the process as well as handle its execution as well as resulting datasets. Via the direct exposure of big data analytics in a process structure, pupils will certainly have the ability to obtain very first- hand experiences with a breadth of big data subjects, consisting of multi-step data analytic as well as analytical techniques, software program reuse as well as structure, identical dispersed programs, premium computer. On top of that, trainees find out about a variety of subjects in AI, consisting of semantic depictions and also ontologies, artificial intelligence, all-natural language handling, and also image evaluation.

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This paper presents Automatic Lecture Attendance System Using Face recognition in a real time background for a Student to mark their attendance. It is tough to mark the attendance of a student in the large classroom, and there are many students attending the class. Many attendance management systems have been implemented in the current research. However, the attendance management system by using facial recognition still has issues that allow the research to improve the current research to make the attendance management system working well. We used OpenCV face detection which detect human face using haar cascade classifier for feature selection for classification. When compared to traditional attendance marking this system saves the time and also helps to monitor the students.

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The use of artificial roughness on the underside of the absorber plate is an effective and economic way to improve the thermal performance of a solar air heater. Several experimental investigations, involving different types of roughness elements, have been carried out to improve the heat transfer from the absorber plate to air flowing in solar air heaters. In this paper the CFD analysis on heat transfer and friction in rectangular ducts roughened with broken arc-rib with stagger piece has been presented. The rib roughness has relative gap position (W/W) was varied from 0.33 to 0.80 and other parameter are constant. The effects of relative gap position on Nusselt number, friction factor and thermo-hydraulic performance parameter have been discussed and results compared with smooth duct and continuous arc rib roughened duct under similar conditions. The rough ribs were efficient enough to transfer the desired heat, but they are not economical and are very complex in design and construction. Whereas, the Circular ribs with different relative gap width gives more area of contact. So, there is enough time to transfer the heat from the ribs to the passing air which touches the ribs and the heat transfer takes place efficiently. It is found that the maximum heat transfer and friction characteristic at a relative gap position of 0.65.

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E-mail is one of the most widely used modes of written communication over the past two decades through the internet, also one of the greatest methods of communication that has been accepted for private message or vocation purpose of communication and its traffic has increased aggressively with the appearance of World Wide Web. So nowadays each and everyone have at least one e-mail account. Sometimes user receives the email consisting of same content repeatedly by multiple users. The main aim of this study is to analyze the performance of different pre - existing classification techniques and to select the best classification technique with more accuracy and efficiency, so that the e-mails consisting of same content known as duplicate e-mails can be classified and redirected to the original email, later forwarding them to the trash bin. Classification techniques are of two types – based on machine learning techniques and based on non – machine learning techniques. Based on machine learning techniques consist of the algorithms such as Naïve Bayesian Classifier, Support Vector Machine (SVM), K Nearest Neighbour (KNN) and many more. Based on non – machine learning techniques consist of Black/White List, Signatures, Keyword Checking, Mail Header Checking.

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Some technologies are being used in day to day life to reduce the human effort that means the interfacing between machine and man is take place that increases the application range of the systems we use a leap motion to improve the system parameter analysis and the range of application. Leap motion sensor is a new gadget having three Infrared sensors to catch the gestures of hands and fingers precisely to a millimeter in three-Dimensional space. By utilizing the data from the leap motion gadget and calculating inverse kinematics for the data using a java program. Drone is Amazing invention which is Very helpful in doing complicated task with more easier. Now a days drone are used in Search and rescue systems , Security and military applications, Aerial photography & video and Surveying because of their accurate result and tendency to do repetitive and more time taking task efficiently. To enhance system performance we are using drone but in modern era controlling Drone system manually is less efficient .The main concern is to create a system which is helpful for controlling Drone manually from remote location This kind of system might be beneficial in military applications and space research. Drone control using gesture is getting popular in existing system of sixth sense technology 2d camera is used which is not gave precise output. As remedy of this drawbacks like background conflict and light intensity problem we are using 3d leap motion controller for hand gesture recognition. where gesture recognition in three-dimensional is very precise and it has great enhancement on the speed where after receiving signal of gestures from users input and drone will work on input given.

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"Vertical Axis Wind Turbine" expecting to developing robust large scale VAWT technology based of an electrical control system with direct driven energy converter. This approach allows for a simplification where most or all of the control of turbines can be managed by electrical converter system, reducing investment cost and need of maintenance. In highways the vehicle suffers a lot to travel in might time because of lightning problem. This problem can be overcome by using the Vertical Axis Highway Windmill (VAHW). The main aim of this project paper is to produce energy by using renewable energy resources in that manner the wind is very much ecofriendly and very compactable one. By using that energy in useful manner we can produce a continuous power.

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Agricultural zone being the backbone of the Indian economy justifies security. Security not in terms of capitals only but also agricultural yields needs security and guard at very early stage, like safeguard from assaults of rodents or insects, in grounds or grain stores. Such tasks should also be taken into consideration. Security systems which are present used now a day are not smart enough to provide real time notification after recognising the delinquent. The integration of outmoded approach with modern technologies as Internet of Things and Wireless Sensor Networks can lead to agricultural modernization. Keeping this situation in our mind we have implemented, verified and estimated an "Internet of Things" based device which is capable of analysing the sensed information and then transmitting it to the user. This scheme can be controlled and supervised from remote location and it can be employed in agricultural fields, grain stores and cold stores for security tenacity.

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An improved method for the analysis of the satellite image based on normalized difference vegetation index NDVI is show cased in this paper. To find the spectral signature of different objects such as the vegetation index, land cover classification, concrete structure and road structure the multi-spectral remote sensing data method is used. the spatial distribution such as road, urban area, agriculture land and water resources which can be easily interpreted by computing their normalized difference vegetation index are exploited and explored for land cover classification. For generating the false color composite of the classified objects, various values of threshold of NDVI are used. According to simulation result, normalized difference vegetation index is highly useful to detect surface features of the visible area which is highly useful for management and municipal planning.

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There are various news/articles which cannot be read completely in the hush of our daily schedules. Thus, summarization comes into picture. This paper focuses on summarizing a text using neural networks which creates a summary containing the important key points of the text/article. This summarization will be done using neural networks (word2vec model).It will focus only on English articles. The input given will be in .txt format. Thus it will make a lot easier to get a quick summary of the long articles and derive the conclusion about what is there in the articles and whether they are relevant for a user according to their interest.

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Plastic road is such an invention which is changing the earths future it is such a solution which will finish off the problem of plastic disposal. Plastic roads are roads made either entirely of plastic or of composites of plastic with other materials. Plastic roads are different from standard roads in the respect that standard roads are made from asphalt concrete, which consists of mineral aggregates and asphalt. Currently, there are no records of regular roads made purely of plastic.

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Present study includes the modal and transient analysis of bridge deck slab subjected to moving load by using ANSYS software. The modal analysis results are compared with previous literature and close for solution. The parametric study is in form of deflection, stress and strain for variation of models dimension. The study reveals that Finite Element Method can be applicable and reliable tool for analysis of bridge deck slab. The aim of this study is to evaluate the damage of the selected deck slab and evaluating the cracking and crushing of deck under cyclic wheel loads. Nonlinear analysis of structural element using ANSYS Workbench is carried out.

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Water distribution network plays a vital role in preserving and providing desirable life quality to the living organisms, of which reliability of supply is the major component. Water is one of the basic necessities of every living creature in this world. Requirement of water is increasing day by day for the purpose of domestic, industrial and agricultural etc., and also the source of water is limited. To solve this problem, design of new or up-gradation of existing water distribution network is necessary. Such problems can be solved by own purpose i.e. manually and also by using different computation technologies like MIKENET, STANET and EPANET 2.0 software. This study is based on assessment of existing water distribution system using EPANET 2.0 software. The pipe network and junction network system is simulated to understand its behavior for different inputs using EPANET 2.0. This process has been carried out for hydraulic parameters such as head, pressure and flow rate.

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Cost is one of the main challenges for the construction manager, where the success of a project is judged by meeting the criteria of cost with budget, schedule on time, and quality as specified by the owner. Cost budget is prepared by the various factors and the main factors is the materials that are used in the construction. In which, poor strategy or incorrect budget or improper material management can easily turn an expected profit into loss. To overcome this problem the inventory material management techniques are very useful.

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Construction Industry is a second largest and most challenging industry in India after agriculture. Construction industry contribute to GDP with about 11% in India.[1] Nevertheless, poor performance of the construction industry in India has been a cause of great concern among practitioners and academics. In India Construction projects have been experiencing significant cost and time overruns, with low labour productivity identified as a major reason for project delays and cost overruns. Improvising labour productivity in construction is therefore critical. Lean philosophy is concepts of manufacturing. Now a days lean philosophy is widely use in the construction industry. Lean philosophy is use for the improvising construction labour productivity. This paper includes a review on various literature papers related to improvising labour productivity on construction site by using lean principles.

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This is report on petals filteration machine which is used to separate out the unwanted particles such as stone, dust, dirt and other particles from the petals of flower using the vibration motion of machine. This is a universal machine too separate out the unwanted particles of different types of petals of the flowers. So we design and develop the vibrator machine. In this case when the petals fall on the strainer, from the hopper, due to vibration motion of strainer the petals are split as well as it flow in downward direction at the time of petals flow in downward direction the stones , sand and other dust particles which are present in the petals it separates out and collect in the tray. Remaining clean petals are moves forward for next processing.

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Combined heat and power brings about the need of the co-generation to meet the present demand of electricity. It also bridges the gap between supply and ever increasing demand of electrical energy and becoming self-reliant in terms of captive electrical power rather depends on the state grids. It also talks about the co-generation technology, benefits, applications and potential beneficiaries for the amateurs who are keen to implement this technology to meet their needs and serves nation as a whole by reducing the load on grids and reduction of CO2 emissions to protect the environment. However, in a changing scenario where renewable sources play an important role in energy supply, new approaches to energy efficiency looking to supply side may be very helpful on achieving a big amount of energy savings that can be added to those expected from demand side. This paper intends to propose a methodology for calculation and measurement of the overall energy efficiency for biomass cogeneration or combined heat and power plants. This paper intends to propose a methodology for calculation and measurement of the overall energy efficiency for biomass cogeneration or combined heat and power plants.

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Skinput is a technology that appropriates human body for acoustic transmission, enabling the skin to be utilized as an input surface. This technology allows human hand and arm as touch screens, by sensing various low-frequency vibrations and sounds that are generated by touching different part of the hand or arm. These discrete sound waves (signals) are sensed using various sensors worn on the arm in the form of arm band. The scientists also explains the different types of signal generated from soft and hard tissues, how body density, mass and size also help in making the signals discrete. The prototype model uses a wireless approach like Bluetooth to send the signals as a command to the various devices (Smart phones, Ipod, Tablet, etc) connected to it.

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This project describes about the experimental and analytical investigations on space truss with different types of configurations for double layer grid structures such as square on diagonal, square on square offset, square on square offset diagonally, diagonal on square. The Profile stability analyses were done for the above listed configurations for the double layer grid structures using STAAD Pro Version8i software. From the analyses the best among configurations of double layer grid structures space truss were determined and the deflection, axial forces, weight of the truss and pipe section were recorded. The deflection and vibration results of different types of configurations for double layer grid structures space truss were investigated experimentally using Fast Fourier Transform vibration analyzer. From the effective outcome of the results, the structure was designed economically by adjusting the configuration of double layer grid structures with suitable distance. The result exhibits the obvious effect of the load carrying capacity and ductility of DLG space structures.

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The aim of this project is to design and build a greenhouse controller that can maintain the environment, by acting upon live sensor readings and be able to display the status of the system to the owner. A greenhouse provides an environment to grow plants all year round, even on cold and cloudy days. A small size greenhouse is developed with constant monitoring system using IoT and an individual system to capture plant images used to detect disease in plants using image processing. The project was split into two parts: programming a raspberry PI using Python language to act as the central hub that manages the various sensors such as Temperature & Humidity sensor (DHT11), soil moisture sensor, and LDR as transducers; and using online software platform to allow the user to interact with the greenhouse controller. The ultimate goal of this project is to produce low cost, less energy consumption system which can be used by farmers as well as consumers.

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Another new chapter in the field of mobile communication i.e 5G which comes after 4G and is expected to expand the wireless technology as never before. The purpose of this paper is to introduce 5G with it is pros and cons in simple language which will give an overview of this new technology to the technical or non-technical readers.

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Drowsy while driving is now being a common issue among all drivers. As this is a very insidious problem, many people have been executed or harmed during crashes related to drowsy, heavy-eyed or exhausted conditions. The officials won’t come to know the authentic facts since no one would be aware of when a motorist experiences sleepiness. Often the driver will not admit that he felt drowsy to evade being liable. Also, if the driver can’t disclose anything before he/she dies, then public can’t know how the crash occurred. So, grabbing the wheels when drowsy is seriously as daring as liquored up driving. Even though people know it’s dangerous, it is still treated as an unrecognized traffic safety problem. It has proved from different studies that the main two risky behaviors are sleepy driving and drunk driving, which are interrelated to a reasonable rise in accidents these days. But most of the drivers do not identify the dangers of fatigued driving. It is seen that a person’s cerebral and bodily function have been deliberately impaired because of sleepiness, which influence safety-critical tasks such as attention, operating, effective memory and coordination. The proposed system focuses on foreseeing driver lethargy by continuous monitoring the physiological conditions of a driver. The project targets at real time dangerous fatigue behaviors such as eye movements, head nodding and heart pulse activity. Hence it can be seen that these behaviors using motion sensors to timely warn driver to evade a collision.

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In recent years, Fiber Reinforced Concrete material has been developed and studied for application to structural members. A property of this material is PseudoStrain- Hardening behaviour caused by the distribution of multiple fine cracks under tensile stress. Fibres have been used to enhance tensile characteristics of concrete by suppressing crack growth and improving mechanical behaviour. In this study, the fiber reinforced prestressed beams are analysed. The prestressed beams with steel and glass fibre reinforcements are compared with the normal prestressed beams. The main scope of this project is to reduce the deflections and control the crack width of the prestressed beams by analysing the fibre reinforced prestresed beams in Concise Beam software.

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In this thesis, results of CFD analysis on heat transfer and friction in rectangular ducts roughened with Broken double arc rib roughness has been presented. The rib roughness has relative gap position of 0.65, relative roughness pitch of 10, arc angle of 30° and relative roughness height of 0.043. The relative gap width was varied from 0.5 to 2.5. The effects of relative gap width on Nusselt number, friction factor and thermo-hydraulic performance parameter have been discussed and results compared with smooth duct and continuous arc rib roughened duct under similar conditions and also compare with previous experimental results. The rough ribs were enough efficient to transfer the desired heat, but they are not economical and are very complex in design and construction. Whereas, the broken double arc ribs with different relative gap width gives more area of contact. So, there is enough time to transfer the heat from the ribs to the passing air which touches the ribs and the heat transfer takes place efficiently. Thus, the broken double arc ribs with different relative gap width, when compared with the smooth and continuous arc ribs with symmetrical gaps, it was concluded that the related Nusselt Number and friction factor for broken double arc ribs with different relative gap width was more efficient as well as economical, than that of smooth and rough ribs with symmetrical gaps for flow Reynolds Number. The smooth ribs could not transfer the desired heat due to absence of friction; so, they are not preferred practically. One of the most important techniques used are passive heat transfer technique. These techniques when adopted in heat transfer surfaces proved that the overall thermal performance improved significantly. Rib roughness on the underside of the top wall of a duct has been found to substantially enhance the heat transfer coefficient. Surface roughness disturbs the laminar sub-layer in the turbulent flow and promotes local wall turbulence that, in turn, increases the heat transfer from the surfaces. The augmentation in heat transfer accompanies a higher pressure drop penalty of the fluid flow. In this work the maximum value is found to be relative gap width 1.0. Solar energy is one of the environmentally compatible sources of renewable energy. It is most recognized as one of the promises that can conserve the Earth to survive in a reasonable shape. Solar energy is virtually unlimited. The Sun is the primary source of renewable energy and it harvest more abundant than any other type of energy. A conventional solar air heater generally consists of an absorber plate with a parallel plate below forming a passage of high aspect ratio through which the air to be heated flows. As in the case of the liquid flat-plate collector, a transparent cover system is provided above the absorber plate, while a sheet metal container filled with insulation is provided on the bottom and sides.

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Voice Recognition is a biometric technology. It is used to recognize the voice of a particular individual. When the voice is generated, the speech waves from the different voices serve as the basis of identification of speaker. Using voice recognition for security purpose where a person can enter his/her voice for authentication is one of the most important applications. Each voice has its unique characteristics called feature & extracting these features from an individuals voice is called feature extraction. The extracted features are further compared with the saved voices in the database for matching. This paper provides review of various voice recognition systems.

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