In the present time, intelligent management is adopted in each field like communication, home appliance, medicine etc. Unfortunately, the service suppliers of electricity are still using the traditional methods for obtaining the data of energy consumed by the consumer. The traditional method of energy meter billing is a obsolete, inefficient and time consuming one. Technology of e-metering (Electronic Metering) has undergone through technological advancements and there is hyperbolic demand for a reliable and efficient system i.e. Automatic Meter Reading (AMR). The design of a simple low cost dual mode wireless GSM based energy meter and its associated features will make the metering job easier. The proposed system replaces conventional meter reading methods and enable remote access of existing energy meter to the energy provider. It also enables the energy provider to monitor the monthly meter readings without visiting each house. A GSM based wireless communication module allows the consumer for the pre purchase of electricity which is done by the means of recharge. The balance get updated on the consumer account then as the energy is being consumed the amount gets deducted from the account balance. This system also stores the data on cloud and provide real time consumption of energy. Hence this system has been designed keeping in view the system which is of paramount importance. This mode of the system provides flexibility to the customer to pay his bills and helps the energy provider by removing the problems of unpaid bills and human error in meter readings which ensures the justified revenue for the utility.

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Voltage sags and swells in the medium and low voltage distribution grid are considered to be the most frequent type of power quality problems based on recent power quality studies. Their impact on sensitive loads is severe. The impact ranges from load disruptions to substantial economic losses up to millions of dollars. Different solutions have been developed to protect sensitive loads against such disturbances but a series compensator is considered to be the most efficient and effective solution. Even the conventional concept suffers with effective controller problems. To tackle these situations, custom power apparatuses are utilized. Dynamic Voltage Restorer (DVR) is a modified power apparatus that is utilized to enhance voltage stability i.e. to minimize the power quality problems in electrical power system network. The important parts of the DVR comprise of voltage source inverter (VSI), booster transformers, filter and a dc energy source. The principle of the DVR is utilized to inject the voltage in series and in synchronism with the standard voltages with a goal to compensate voltage influences. There are various control techniques used for the operation of dynamic voltage restorer. This paper presents the hysteresis voltage control technique for generation of switching pulses for inverter of dynamic voltage restorer.

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Deployment of airbags to save the person’s life has been pushed to a great achievement for the automobile industry. By this invention which has been commenced by John W. Hetrick, the founder of airbags in cars gave him an unforgettable appreciation for saving several lives. Hetrick couldn’t predict the upheaval of two-wheeler design and by the time he prophesied it, he found to be cash in one’s chip. Till now there Is no prosecution of airbags in bikes and there is no contemplative of lives who are devilishly using two- wheelers. Highly educated professors, students of different universities are ushering forward their inventions through journals but there are no almanacs that they started perpetrating their inventions and enacting that to bikes. These journal comes out with a new invention of the airbag in bikes and pulls out the remedies to be safe from the injuries even though the accidents take place. This invention is done with its implementation and testing of the output and also the porotypes of the bike inflator, airbag design. This journal takes over the topics of how the persons on the bike will be safe from the injuries and how my invention pulls out to be special.

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Now days each and every city is becoming smart city to attain these condition major criteria is cleanliness. Street cleaning includes street sweepers and it requires sweepers to present manually in particular location and to take action based on need. Efficient cleaning is not possible through this method which consumes more time and money. To address this issue based on technology development most of the cities has been implementing camera in terms of security. Utilizing this camera’s street garbage is identified and its current condition is detected with its location also extracted. Deep learning-based neural network techniques can be used to achieve better accuracy and performance for object detection and classification for large volume of images. Based on the images collected from camera’s was viewed and necessary action should taken by respective in-charged person to city administrator. A cleaned garbage image should be updated by that person for proof. In case update is not done then it will reported to higher officers. All these details were updated in cloud for efficient storage utilization. Such framework can prove effective in reducing resource consumption and overall operational cost involved in street cleaning.

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The design of structures should satisfy three fundamental requirements: 1) Stability: The structure should be stable under the action of loads. 2) Strength: The structure should resist safely stresses induced by the loads. 3) Serviceability: The structure should perform satisfactorily under service loads. Defective construction that causes failure may be due to numerous reasons that may not be easy to predict before or during the construction. The major causes of structural failure are defective designs that have not determined the actual loading conditions on the structural elements. Inferior construction materials may also be the cause since the loads are calculated for materials of specific characteristics. Structure may fail even if the design is satisfactory, but the materials are not able to withstand the loads. Employment of unskilled labor on construction work is another reason for structural failures. Reducing failures of buildings and other structures requires competent design; clear communication of that design to the contractor by means of engineering drawings, etc.; careful and competent construction; and effective construction supervision. Therefore, it is important that the owners, designers, and builders are fully conscious of the reasons of failure, and undertake all preventive measures. Stability, strength and serviceability can only be achieved by following basic design principles. This paper presents some cases of different structural failures and the preventions, so other engineers can benefit from this knowledge.

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Disease is an abnormal condition that negatively affects the functioning of well-being. Diseases are often interpreted as medical conditions that are associated with specific symptoms. These symptoms can be used as a tool to predict as well as prevent the diseases that can occur in the near future. “Personalized healthcare system at your fingertips using machine learning for prophecy, diagnosis and recommendation” is a platform for predicting the orthopedic diseases based on the associated symptoms faced by an individual. This will be helpful for precluding the major danger that can occur in future due to lack of awareness and knowledge among the communities instantly at their fingertips for prevention from the worst.

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Most of the road accidents occur due to over speeding and traffic violation. Running vehicle disregarding the red light has become a major problem now a day. Due to increasing number of vehicles on the road, monitoring traffic violation manually has become tedious and too complicated. Reckless driving causes serious causality and even death. The rate of road accident is going on increasing and has become a major area of concern. To reduce the rate of road accident we propose a system which controls the speed of vehicle automatically in any critical zone, without major inconvenience to driver. Here, we review a model based on RFID technology. One RFID reader inside the vehicle reads the RFID tag placed either at speed limit signboard or at traffic light. A controlling module in the vehicle then takes the decision and control the speed accordingly. It is not possible for the off-road vehicle to run at high speed on its standard ground clearance provided considering the city obstacles and on-road cars to run over the rough terrain Automatic Speed Reduction System and Adjustment of Ground Clearance Department of Mechanical Engineering Page 3 with its lower ground clearance. To obtain the good performance at high speed and low speed it is necessary to build one system which can vary the ground clearance. This can achieved by changing the suspension height so that the chassis height can be adjusted with respect to the speed and the quality of roads.

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This paper is the practical implementation of the Van de Graaff generator. This paper proposes the design and operation of the high voltage electrostatic dc generation. The principal of this system is to convert the static energy into the high voltage electrical energy. A Van de Graaff generator is an electrostatic-accelerator which is used in the scientific experiments to produced high voltage in the less time with a high safety factor. The generated charge is used to speed up subatomic particles. It produced very high voltage up to the 5 mega volts. This device is commonly in the physics and high voltage laboratory, to get the high electrostatic charge. it can also be used in radiotherapy and also as a electrostatic precipitator for cleaning the waste gas . This study presents a solution to the problem by proposing a very economical design of Van de Graaff generator. Table top Van de Graaff generators develop over 200,000 Volts and floor models offer up to 1,000,000 Volts of high voltage lightning electrical discharges.

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As consciousness hits human brain approx 80 thousand years ago from there the whole humanity became an endeavour to find secure and stable way to spend life a sustainable way so that humans can enjoy their logical game to find new philosophies and laws of nature so that it can truly understand himself. Face recognition on the other can became the key resource in that vision of humanity. This paper looks at the possibility of creating a new software which can recognize and understand human expression which will provide a deep understanding over emotion and psychological working of any mammal brain, on the other hand it can became one of the key resource in surveillance system which can trace any harmful human or animal at a lightening speed of it is used properly.

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This paper aims at the design and testing of a wind mill based power generation and distribution. The main concern in this project is to ensure that the reactive power generated throughout distribution line is reduced. This occurs due to the non-linear type of load. These types of loads are common in electronics devices such as; laptops, printers, chargers, LED TVs, etc. All these types of loads consist of rectifiers which necessarily convert the domestic alternating voltage to direct voltages. This induces a reactive power due to the lagging of current behind the voltage. Hence, in this project addressing the effects of non-linear loads becomes vital. This paper is applicable to microgrid composed of BESS (Battery energy storage systems), distributed generators (DGs), and Loads. DG is realized using wind mills. The theory and method of active and reactive power coordinated control before wind speed fluctuations were proposed based on the PQ transforms and hysteresis band controller where the control system is designed to reduce the power loss due to the reactive powers. The simulation has been done to improve the power quality in terms of real power. This is achieved by increasing the total power produced by the wind mill (keeping the reactive power same). Simulation results show that the controllers can extract maximum power and regulate the voltage and frequency under varying wind and load conditions. The controller shows very good dynamic and steady-state performance. The simulations had been done with MATLAB ver 2018a using power systems and simscape tool boxes available in Simulink library.

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Deep learning can be called as a sort of AI which is worried about PC performing exercises that are by and large performed by people. Deep learning discovers its utilization behind driverless vehicles, helping them comprehend and recognize a stop sign, or to distinguish a walker from another vehicle. It is Deeply utilized in IoT (Internet of Things) like in Television, speaker, kitchen machines and some more. Deep learning is accepting a great deal of consideration recently and in light of current circumstances. It is accomplishing results that were impractical previously. In Deep learning, the taking in process happens from the data assembled from pictures, sound and different sources and afterward the computational model plays out the arrangement. Deep learning models can accomplish the precision, which once in a while surpassing human-level execution. In this, at first, a model is prepared by utilizing a marked information, which is for the most part checked and neural system structures that for the most part comprise numerous layers. In this paper we basically center around the improvement of various parameters of convolutional neural system of Deep learning for ordering 8000 named characteristic pictures of feline and canine. Different degree of advancement have been done to improve the presentation level of the system lastly, we accomplished the best grouping exactness of 93.10% accomplished the best order precision of 93.10%.

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Navigation may be a technique which focuses on monitoring & controlling movement of person or vehicle from one place to a different. Nowadays we all use smartphone for our personal use. Smartphones help us to form our existence and work much easy. The utilization of smartphone come together with excessive use of mobile application is becoming more common, especially within the college domain. College campuses also are very large and each year lot of latest students take admission in college and visitors also come to college. There’s no any facility for brand new comers to orient themselves inside campus. The campus navigation system is android based application used for navigation inside college campus. This application are able to estimate the position of user within building by using WIFI.

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This fractal geometry is designed by using iterated design function (IDF).The self-similarity dimension of proposed fractal geometry is 1.79, which is a fractional dimension. Self-similar fractal geometry is used there to achieve miniaturization and wide-band performance. A ground stub of T-shape with vertical slot enhances isolation and impedance band-width of proposed MIMO antenna. The antenna consists of 2 novel self-similar fractal monopole antenna elements and there metallic area is minimized by 29.68% at second iteration. This antenna has compact dimension of 24 x 32 mm2 and impedance band-width of 9.4GHz ranging from 3.1 to 12.5 GHz with isolation better than 16dB. There is a good agreement between measured and simulated results, which confirm that the proposed antenna is acceptable for UWB applications. The various diversity performance parameters are also determined. Thus a novel compact self-similar fractal ultra-wideband (UWB) multiple input multiple output (MIMO) antenna is presented.

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In engines, fasteners are used to have the leak proof joints.The fasteners like cylinder head bolts are dealing with various cyclic loadings. Angular Torqueing method is utilized which is the advance tightening method of Cylinder head bolts. For tightening the bolts conventional method is also used but Angular Torqueing gives the added advantages over conventional tightening. In the Angular torqueing method, bolt is tightened with “Snug Torque” and further tightened with specific angle for clamping. There is technique called Taylor’s series expansion or Monte Carlo simulation for predicting the Snug torques, final torque and preload. For measurement of the bolt’s elongation, “Ultra-Sonic Bolt meter” is used. During loosening and tightening of bolts, breakaway torque is developed. Hence torque-tension been formulated.

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Food Industry has always been a profitable industry not only for manufacturers, suppliers, but also for the users, distributers. The online food delivery system is the need of hour because of the recent changes in the industry and the increasing use of the internet. A Real-time online food ordering system for the customer is our proposed system. The traditional queueing system drawbacks and disadvantages are overcome by our system application. Food can be ordered online in a hassle-free manner through our proposed system from restaurants as well as mess services. The food order taking methods from customer are improved by our system application. A Food Menu is set up online and as per their wish customers can simply place their order through the proposed system. Also, customers can effortlessly track the orders with a food menu. Users can rate the food items over the feedback system provided by the system. Also, restaurants and mess services are recommended to the new customers based on the user ratings through the proposed system and for the improvements with the quality, the restaurant/mess staff will be informed. For the initial implementation of the system application pay-on-delivery payment system is used. Separate accounts are maintained for each user for more secured ordering by providing an ID and a password.

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The study focused on the factors which affects consumer buying behavior. The objective of this study is to know the factors which affect the consumer buying behavior towards the goods or services and to gain the knowledge on how the factors affects the purchase decision of an individual consumers. The approach used in this study is qualitative. The data collection for this study is secondary data. The limitation of this research is only theories consider in this research and empirical data not included in this research. The other limitation is only a single theory of human motivation included in this research. The conclusion of this study is the four main factors which affects the consumer buying behavior such as Personal factor, Psychological factor, Social factor and Economic factor. It also concluded that a consumer affects at the different ages, life cycle stages, motivation and perceptions affect the consumer buying behavior and surrounding of the consumer play a major role for influencing the buying decision.

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Electrical transmission lines area unit liable to faults and failures. Once a fault happens, it is not possible most of the days to repair it manually. Additional High Voltage (EHV) transmission lines area unit designed to transfer great amount of power from one location to a different. The length exposed to the surroundings may be a major reason for incidence of faults on the lines. A fault on a high voltage line stability of electrical power system that generally results in permanent harm of the instrumentation. Relays area unit developed and put in to guard and protect the lines. The cable protection relays, within the trade, area unit supported the elemental frequency elements of the voltages and currents. These relays would like a minimum of one first harmonic cycle for playacting the protection operation. Voltage and current traveling waves area unit generated once a fault happens on the cable. The speed of propagation of traveling waves is finite and therefore the level of the waves decreases with increase within the distance travelled. Information regarding the fault will be obtained by analyzing the traveling waves. This proposed approach efforts, the power system transmission line protection system using discrete wavelet multi-resolution spectral energy calibration based distance relay. The faulted current and voltage signal get transfer into multi-resolution analysis the once analysis this transfer to threshold identification and detection system. That threshold system operates the circuit breakers connected at the every end of transmission line cable by causation trip signal throughout abnormal faulted condition happens. An improved simulation software package MATLAB 2015 was developed to check the planned fault designation techniques. Comprehensive performance studies were enforced and therefore the check results valid the improved performance of the planned approach over the standard fault designation performed by the cable distance relay.

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The cost of treated water makes most people in rural community’s to resort to readily available sources which are normally of low quality exposing them to waterborne diseases. Chemical coagulants like ammonium sulphate which used in treatment plant for purification process but the extensive use can cause problems and it is costlier and to overcome these problems it is necessary to increase the use of natural coagulants. There are different types of natural coagulants, among them one of the natural coagulants is Moringa Olifera. It is in this light that project is carrying out to confirm the effectiveness of powder extracted from mature dried Moringa oleifera seeds which is commonly available in most rural areas. Model turbid water was treated by coagulation, flocculation and sedimentation with Moringa oleifera seeds powder as a coagulant, using jar tests. The quality of water is analyzed and compared with that of the water with alum. Experiments were conducted at various dosages. To evaluate the antimicrobial activity and efficiency of a natural absorbent from Moringa oleifera seeds in treating water by physicochemical methods. Turbidity, pH, alkalinity, jar test, conductivity, chlorides and total coliform test were performed. The specific objectives is to establish the best dose of powder Moringa oleifera seeds that best removes different parameters from water and to compare between the Moringa seed powder and the selected commercial sold water treatment chemicals. M. Oleifera works as a coagulant due to the positive charge, water soluble proteins which bind with negatively charges particles allowing the formation of flocks to settle to the bottom or be removed by filtration sand and it is accepted that treatment with Moringa oleifera seed solution will remove 90-99% of impurities in water.

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In highly populated Countries like India, everyday people lose their lives due to accidents and poor emergency facilities. A number of the rescue teams face difficulty in reaching the injured people due to late alerts and insufficient information of the particular accident location. The appearance of the portable And Internet of Things (IOT) industries reshaped the way people communicate and brought a paradigm shift to public and personal services. This ever-evolving technology marked the start of recent era affecting the lives of individuals and various businesses. This paper express to produce an answer for such a controversy we are visiting proposed an IOT system which instantly notifies the General Public Safety Organization (PSO) headquarter whenever an accident takes place it pinpoints its geographic coordinates on the map.

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In this digital era, users have multiple accounts across multiple banks. User’s wallet, probably carry couple of payment cards. All of the payment card are is not in use every time, but then too many people need to carry all those payment cards for their needs. This makes people’s wallet too bulky and risky to carry. Smart Payment Solution for Cards is a solution to combine all cards-in-one payment card. This will combine all accounts payment card services into one centralized payment card. This will ease out user management of multiple payment cards. This solution combines payment services of users multiple account into one smart payment card. This solution for cards will help users in easily managing payment card for multiple bank accounts. User will be able to easily manage card services like temporary/permanently blocking and changing PIN for different card accounts linked via single card.

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Growing demand and aging of network makes it desirable to better control the power flow in power transmission systems. FACTS devices, especially UPFC, provide a fast, smooth control of power system parameters. However, for cost and reliability reasons, the application is limited. This paper presents a new concept for power flow control by distributed UPFC. The system, called distributed power flow controller (DPFC), consists of several low-power series converters and one shunt large-power converter without common dc link. Also new is that the power exchange between the shunt and series parts is through the existing transmission line at a harmonic frequency. This solution enables the DPFC to fully control all power system parameters, and it reduces the cost and increases the reliability of device at the same time.

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In very little over 10 years, electricity power quality has fully grown from obscurity to a serious issue. Power quality is among the most things thats stressed and is taken into thought by power system utilities so as to satisfy the strain of power distributor and customers. At every passing day this issue has changing into a lot of serious and at identical time the users demand on power quality additionally gets a lot of important. Therefore it is essential to determine an influence quality analysis system to observe power quality disturbance. Many analysis studies concerning the facility quality are done before and their aims of times targeting the gathering of information for an additional analysis, therefore the impacts of varied disturbances may be investigated. This paper deals with the implementation of IEEE fourteen BUS system with completely different power quality disturbance conditions like voltage sag, voltage swell, momentary interruption and harmonics conditions.. Additionally a technique is shown for determinative the foremost sensitive bus and also the most sensitive load. Result analysis is completed at the sensitive bus and also the load.

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Self-Compacting Concrete (SCC) is one of the propelled kinds of solid which is broadly utilized in structures were blocked fortifications are given. Conventional self-compacting concrete is seen not as appropriate in specific cases and required change required is finished by a few inquiries about. When such changed SCC is Light Weight Self Compacting Concrete (LWSCC), right now endeavour is being mode to deliver LWSCC utilizing different totals, for example, Pumice stone, Vermiculites and Perlite within the sight of engineered super plasticizers. Starting test is to test the nature of total were done according to Indian Standard Codes and results got were utilized in blend structure. Primer inspecting was done to check the appropriateness of the chose aggregates in creating LWSCC and its seen as reasonable further examinations will be done to acquire quality and effect conduct of LWSCC utilizing chosen admixtures.

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The food industry is very essential to full-fill the needs, not only the customers but also to the food lovers. Farmers harvest the food products but unable to keep the items always fresh and eatable. So in this case the food industries play a vital role to enrich them. They follow different strategies to keep each and every products fresh and best to reach the consumers by some familiar methods like preserving, Refrigerating, etc. To handle all these things automatically high level of automation is required because food products can vary in size, shape, fragrance, colour etc. Considering these diversity factors in this food industry, it is almost impossible to obtain a generic automation solution. Automated systems in food production come in different functions and sizes, very much depending on the food item and specific requirements of the customers or consumers. Hence, Electronics play very important role for automation in food industry. This paper gives the idea about the role of E-Nose in food industry. E-noses are the systems for the automated detection and classification of odours, vapours and gases, which have provided an excess of benefits to the agricultural, pharmaceutical, environmental, biomedical, cosmetics, food, manufacturing, military and various scientific research fields. An E-nose is generally composed of a chemical sensing system and a pattern recognition system. The recognition pattern in E-nose is used to determine one sample from another is based on headspace volatiles. This innovative technique used to improved product attributes, uniformity, and consistency which results in quality control capabilities afforded in all phases of food industries to keep the food items always fresh.

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Phishing is one kind of cyber-attack and at the same time, it is most dangerous and common attack to acquire personal information, account details, organizational details, credit card details or password of a user to conduct transactions. Phishing websites look similar to the appropriate ones which is difficult to differentiate between them. The motive of this study is to perform Extreme Learning Machine (ELM) based on different 30 features classification using Machine Learning approach. Most of the phishing URL’s use HTTPS to avoid getting detected. There are three approaches for detection of phishing websites. The first approach analyzing different features of URL, second approach checking legitimacy of website and knowing where the website is hosted or not and it also check who are managing it, third approach checking genuineness of website.

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