This article let us know the basic concept on how financial investments deals with an individual who is still in introductory level in the investment sector, where the scheme of education in our Indian system does not reveal much of the importance of stock market and also has the same old conceptuality on financial markets as "Gambling". This article is designed exclusively for those who think very often why they have to do investments in any sectors. There are only two ways to make money in our modern world: by working, for yourself or someone else, and/or by having your assets work for you. If you keep your life savings in your back pocket or under a mattress, instead of investing, the money doesn't work for you and you'll never have more than what you save or receive through inheritance. Conversely, investors generate money by earning interest on what they set aside or by buying assets that increase in value.

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In modern electrical distribution system power filters are majorly used to eliminate the harmonics produced within it, one of the power filter having better dynamic performance is Active Power filter. An accurate control algorithm providing the robust performance under unbalance loads and source is the need of Active power filters. The voltage source inverters (VSI) used to get triggered because of the control methods. Hence compensation of selection of harmonics depended mainly on adopted algorithms. Any SHAPF system there are wide and various ways of implementing the control block system whose output goes to VSI gate. Further to propose the new control strategy for Shunt active power filter the harmonics and frequency has to be modelled. For the control of the active and reactive power in the two-bus power system the Matlab Simulink based implementation of the instantaneous real and reactive power theory and modified PQ theory are used. The main objective of this paper is to analyze Shunt active filter with fuzzy and Pi controller, to carry out analysis we consider pq and modified pq theory.

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Since Robotics is the field concerned with the connection of perception to action, Artificial Intelligence must have a central role in Robotics if the connection is to be intelligent. Artificial Intelligence addresses the crucial questions of: what knowledge is required in any aspect of thinking; how that knowledge should be represented; and how that knowledge should be used. Robotics challenges AI by forcing it to deal with real objects in the real world. Techniques and representations developed for purely cognitive problems, often in toy domains, do not necessarily extend to meet the challenge. Robots combine mechanical effectors, sensors, and computers. AI has made significant contributions to each component. We review AI contributions to perception and object oriented reasoning.

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The project involves Analysis of a residential building with steel-concrete composite and R.C.C. construction. The proposed structure is a four multi-storeyed buildings of G+9, G+12, G+15, G+18, G+21, with 3.0m as the height of each floor. The overall plan dimension of the building is 15m x 9m. The analysis and involves the load calculation, analysing it by 2D modelling using software STAAD-ProV8i. Analysis has been done for various load combinations as per the Indian Standard Code of Practice. The project also involves analysis of an equivalent R.C.C. structure so that a cost comparison can be made between a steel-concrete composite structure and an equivalent R.C.C. structure.

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Objective: To assess the level of awareness towards the use of dental implant treatment among patients in Indore. Methods: A descriptive study was conducted among 151 patients aged more than 18 years, with a pretested questionnaire in district of Indore, India. Results: 57 % of the participants have heard about the dental implant, only 43% of them were aware that it is an option of a replacement for missing teeth. High cost (83.4%) was most main disadvantage found against the implant supported dentures. Dentists were identified as main source of information provider. 79.5% were interested to know more about implants and 43% were not sure about considering dental implant as an alternative to tooth loss and the major reason for avoiding replacement was the reason that they were not too clear about the procedure as pointed by 47.7 % of these participants. Conclusions: Majority of the patients were unaware of dental implants as a substitute for replacement of missing teeth. Insurance coverage could be the solution to overcome the barrier identified as high cost and lack of knowledge was another factor identified against the willingness of consideration of dental implant as an alternative. Thus proper awareness should be done to overcome this barrier.

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A sound understanding of the importance of intersections within a road network is a key factor forth efficient and effective management and control of transport networks when traffic operations are saturated. Conventional indices (e.g. level of service, degree of saturation, capacity or delay) reflect only the states of an intersection itself, but lack the ability to describe the influences among the intersections within a road network. To reduce traffic congestion at a grade intersection, one method is construction of flyover at intersection. The flyover facilitates the traffic flow in the direction of bridge, but the infrastructure cannot fully solve all of the problems especially on the secondary roads. Under the bridge, although it relieves the traffic congestion at the intersection, traffic signal at intersection also reduce congestion and accidental rate. Channelized intersection provides more safety and efficiency. It reduces the number of possible conflicts by reducing the area of conflicts available in the carriageway. If channelizing is not provided the driver will have less tendency to reduce the speed while entering the intersection from the carriageway. The presence of traffic islands, markings etc. indicates the driver to reduce the speed and becomes more cautious while passing through the intersection. A channelizing island also serves as a safety for pedestrians and makes pedestrian crossing safer. Traffic congestion on major roads depend upon existing bottlenecks at intersections is a major problem in India. To change this trend, this research was carried out in order to design effective traffic control mechanisms at the troubled spots in India. Traffic volume data was collected throughout the day. Furthermore, discharge headway and delay data were collected using stop watch. The geometric and traffic data collected were analysed using Microsoft Excel. An appraisal of Maui Intersection indicated that the major contributors to traffic are trucks, passenger cars, motorcycles and other modes of transportation traversing the intersection.

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Metal cutting plays an important role in the present day manufacturing. Over the years, the manufacturing industry has matured by introducing new materials and processes. Superior manufacturing facilities, with the state of the art technology processes are now available, catering to the stringent product requirements, like form, fit and function. They generate surface finishes that produce the right texture enhancing the products aesthetic appeal or satisfying the designer’s functional requirements. The product quality has been built into the product, with every aspect of the process studied, monitored and excelled. With the advent of computer technology and its allied growth in the software industry, newer computing techniques and algorithms push the technology to its limits and application engineers are curious to study the impact of these in various situations that may interest them. As manufacturing brings to life the various abstract designs, there exists a huge potential to create newer and newer products by various processes. This moots the study of the implication of such algorithms and techniques on these processes with a goal to manufacture better products in a shorter time, keeping the cost aspects low and complying with the quality requirements. This also opens up another related domain called condition monitoring. Condition monitoring studies are carried out on processes, machines, tools and the like. It is the periodic or continuous measurement of various parameters that indicate the condition of the tool, stability of the process or condition of the machine. The focus is to avoid producing parts that are out of tolerance or those which are in non-conformance with the specified finish and to avoid surprise breakdown of the machine itself. Some of the methods by which diagnosis is carried out include studying and analysing the wear debris, sound and acoustic emission, and vibration signals. Signals are acquired and processed in time domain, frequency domain and time-frequency domain. Amongst these conventional techniques, Fast Fourier Transform (FFT) is simple and commonly used in industries. While the vibration signature is used as basis for FFT based techniques, there are several pre-processing methods by which noise and unwanted signals can be separated. Machine learning techniques (feature extraction, feature selection and feature classification) are recent methods used to perform machine condition monitoring. However there are different features and different algorithms that are used to classify the signals. This gives the basic motivation to study tool wear monitoring in turning operation using machine-learning techniques with an objective of finding the best possible feature-classifier combination. In addition, prediction of the surface quality using various parameters through different regression techniques is also of concern. Thus, this study has set out to classify tool wear and to predict the surface roughness from the features extracted from the vibration signals obtained during turning operation.

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In general, for the design of tall buildings, both wind as well as earthquake loads needs to be considered. Governing criteria for carrying out analysis for earthquake loads and wind loads are different. As per IS 1893(part 1):2002 and IS 875(Part 3):1987, when earthquake and wind interacts with a building, both positive and negative pressures occur simultaneously, the building must have sufficient strength to resist the applied loads from these pressures to prevent earthquake and wind induced building failure. Seismic Zonation may be termed as the geographic delineation of areas having different potentials for hazardous effects from future earthquakes. The term Zoning implies that the parameter or parameters that characterize the hazard have a constant value in each zone. We obtain a rather simplified representation of the hazard, which in reality has continuous variation. A seismic zone is a region in which the rate of seismic activity remains fairly consistent. A proper way of presentation of vulnerability versus earthquake intensity is to develop vulnerability functions such as those grossly developed for various building types under the earthquake intensities. An attempt has been made to check the performance of RC frame irregular building with shear walls for Earthquake loads in different zones in India. Dynamic analysis like response spectrum method is carried out to compare the results. Totally four different models of 12 storey with shear wall are considered for the analysis using ETABS software. Storey drift, storey shear and lateral storey displacement results are compared.

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In the developing world, washing laundry is a difficult, time-consuming task the falls solely on women. Mothers and daughter typical spend 8 hours each week scribing each piece of their family’s clothing and writing out the harsh washing solution by hand. Powered washing machine exists, but they are impractical in rural reasons because running water and electric are expensive or unavailable. Several groups already tried to build a machine for the regions but they have been unsuccessful. Their machines were either to build and repair because they improved parts or they do not wash effectively. Our invention is a low cost, pedal power washing machine that designed around readily available parts. Its innovation is its simple design and its use inexpressive plastic barrel and bicycle components. The parts are available locally, so we can be manufactured and repaired in the community without depending on imported goods.

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Cryptography is the process of writing using various methods ("ciphers") to keep messages secret. In modern times cryptography is considered to be a branch of both mathematical and computer science. At one time the subject was mainly a linguistic one, the key concern being the ability to recognize words and make words unrecognizable with a simpler cipher. Public key cryptography is a modern technique. Encryption key is called the public key. Decryption key is called the private key. To attack a cipher is to attempt unauthorized reading of plaintext, or to attempt unauthorized transmission of cipher text. The Data Encryption Standard (DES) defines an indexed set of permutations acting on the message space. It is widely used in Banking. There are basically two ways to make a stronger cipher: the stream cipher and a block cipher. A stream ciphers are commonly used nowadays in hardware applications. One of the best known early block ciphers is the Play fair system.

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Programming logic controller (PLC) is an intelligent device in the field of Automation. Today in this globalized world almost every task is carried out with automation. Automation simply replaces humans by machines to perform a particular task. Various tools has been used for employing automation such as PLC (Program logic controller), SCADA (Supervisory control & Data Acquisition system), DCS (Distributed control system) etc. PLC is an effective tool for employing automation. PLC is a programming device used for controlling a particular task. Basically PLC is a digital computer, which takes input processes over it as per requirement & gives appropriate output. This paper covers the basics of PLC including block diagram, working etc. This paper can give basic idea about PLC.

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The rapid evolution of technology and the increased connectivity among its components, imposes new cyber-security challenges. To tackle this growing trend in computer attacks and respond threats, industry professionals and academics are joining forces in order to build Intrusion Detection Systems (IDS) that combine high accuracy with low complexity and time efficiency. The present article gives an overview of existing Intrusion Detection Systems (IDS) along with their main principles. Also this article argues whether data mining and its core feature which is knowledge discovery can help in creating Data mining based IDSs that can achieve higher accuracy to novel types of intrusion and demonstrate more robust behaviour compared to traditional IDSs.

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Form the last decade the usage of web application, text applications and chat bots has been increased. Also demand for the Natural language Processing and text mining is increasing. The natural language processing is effective approach for bringing improvement is such application. In simple words the natural language processing is the ability of computers to analyse the natural language and understand the exact meaning of it. It is related to the human – machine interaction. The NLP is the motivation for the society of those peoples who are not much aware of computer languages but need the computer in their daily use for their survival. [1]The natural language processing comes under the domain of artificial intelligence with the goal of understanding and creating meaningful expressions in human language.it is widely used in the large number of educational purpose applications also like science, linguistics, e-learning, assessment procedures. This paper aims to address the process and the approaches of the natural language processing. The study also highlights the NLP can be utilized in the speech recognition application and for the simple problem formation using LPP.

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In duty-cycled wireless sensor networks running asynchronous MAC protocols, the time when a sender waits for its receiver to wake up and receive the packet is the major source of energy consumption. Opportunistic routing can reduce the sender wait time by allowing multiple candidate receivers, but by doing that it suffers from redundant packet forwarding due to multiple receivers waking up at the same time. Thus, the number of forwarders should be controlled in a way that overall forwarding cost is minimized considering both sender wait time and cost of redundant packet forwarding. Also, in order to prolong network lifetime, candidate forwarders should be selected so that load is balanced among nodes. We propose ORR, an opportunistic routing protocol that addresses the two issues. First, the optimal number of forwarders is calculated based on forwarding cost estimation, which is derived from duty cycle and network topology. Second, the metric used for selecting forwarders considers residual energy so that more traffic is guided through nodes with larger remaining energy. The resulting routing protocol is proven to avoid loops and shown to achieve longer network lifetime compared to other protocols regardless of duty cycle and network topology.

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Human and computer interaction is a trending topic in today's world. Artificial robot is something which work on behalf of a human being, and thus like a human but not a human. Thus navigation of robot means finding its distance as well as position but this can be done by using gestures and speech. Thus this Technology can be used for navigation of a robot, vehicle as well as and industrial site and virtual reality. Thus this wireless robot can be used in areas which are hazardous or damaged where human beings could not work. The robots navigated on vision based will have high computation cost and require more collaboration efforts. Thus a Convolution Neural Network (CNN) has a capacity of predicting potential path directions.

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Due to rapid industrialization energy generation is increasing day by day. This energy generation by numerous power plants causes production of industrial waste. Generation of these wastes is a big threat to our society and environment. So we either have to find ways to dump these wastes safely or to use these wastes in a constructive manner. Due to specific advantages, materials like fly ash, pond ash have been considered as a replacement to natural soils. Soil stabilization is any process which improves the physical properties of soil, such as increasing bearing capacity, shear strength etc. which can be done by addition of suitable admixtures like cement, lime and waste materials like Pond ash etc. In this paper, the test results such as Index properties, Proctors compaction, and California Bering Ratio obtained on clayey soil mixed at different proportions of pond ash are presented and discussed. From the results, it is observed that at optimum percentages, i.e., 80% soil and 20% pond as hit noticed that there is a marked improvement in the strength of soil. The combination of 80% soil and 20% pond ash addition at the optimum moisture content to the clay soil is found to be a suitable measure to increase the strength of the soil.

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The wireless sensor network technology is one of the largest data processing and communication networks systems which continuously developed for distributed environment in field of real time application. There are so many factor associated with it’s as Data security, operating speed, cost efficiency and additional sensor network constraints. Main consideration is about increase the security over existing attacks without affect the performance and complexity of overall wireless sensor network. Normally, two approach of symmetric key and asymmetric key data encryption technique is applied for it at sensor nodes. So, the proposed work is to explore design of cost efficient secure network protocol which reduces number of key transmission required in symmetric key encryption for rekeying task. In proposed algorithm mainly three steps are performed as key generation, data cryptography and data transmission. First generation of key is done by method of dynamic key approach using virtual energy value of sensor node. Then mechanism of symmetric key block cipher algorithm RC5 is performed for data cryptography. After that encrypted data packet transferred over the network using TCP/IP protocol layer in WSN. It also has performance evaluation to achieved benefit of lightweight symmetric key block cipher algorithm for proposed work in unreliable medium of wireless sensor network.

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In this paper an effort is made to review the current design of chassis frame used in vikram 750 d1 for manufacturing ease as well as more stable with respect to dynamic and static loading. In this paper current design compared with two proposed design by application of dynamic and static loading condition. 2 Proposed design analysis has been done with the help of solid works modelling software by application of real time load analysis. With the application of external load, members yield strength3 has been analyzed with respect to external load.

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Biometric is a technical term related to human uniqueness. It is a term that describes about the body measurements and calculations of individual person. Biometrics is predefined set of technique used for identifying a particular person based on their physiological and behavioral characteristics. Face, fingerprint, hand geometry, iris, retinal, signature and voice are the various features measured for the authentication purpose. Biometric authentication is becoming the foundation for safe identification and personal confirmation. As the intensity of protection breach and business scam increase, the need for very safe identification and particular verification technology is becoming evident.

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Smart agriculture involves the application of modern information technology in agriculture. Agricultural productivity is predominantly influenced by the availability of water and characteristics of the soil. Continuous monitoring of the field is essential to maintain optimal field conditions. The system proposed aims at automating irrigation by irrigating the field when the temperature exceeds the threshold. The system also determines the physical characteristics of soil such as specific gravity, liquid limit and several other physical parameters by estimating the fractal dimension using box counting method. The temperature sensor (PMOD TMP3), moisture sensor and motor were interfaced to NI my RIO and on-board wifi was configured. The various physical characteristics of the soil were estimated using image processing technique from the soil samples collected from field. This system can also incorporate the field temperature and moisture as a network-shared variable and enable its monitoring in NI Datadashboard.

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Artificial intelligence ChatBot could be a technology that creates interactions between man and machines in their tongue. The most goal of the ChatBot is to form a spoken communication between student and machine. The machine has embedded data to spot the sentences and build a call as a response to a matter. The response is matched with the input sentence from the user. The ChatBot consists of core and interface. The data of ChatBot is hold on within the style of AIML (Artificial Intelligence Markup Language) programs. Somebody's user will raise to the systems like they typically do to a different human. This application work is extremely easy as a result of the data is already renowned beforehand.

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Aluminium metal matrix composites are a class of advanced materials which have been developed for weight-critical applications in the aerospace and automotive industries. The present work aims to establish the Tribological behaviour of Aluminium-based Silicon carbide (SiC) particle reinforced composites manufactured by stir casting was studied using a pin-on- disk apparatus under dry sliding conditions. The pins made of these composites were then slid against a steel disk under ambient conditions. With this type of test, we can perform controlled wear by having control of the sliding speed, the material, the load applied, and the duration of the test. Analysis of variance used to find optimum wear under influence of SiC, sliding speed, material, and load. In all this SiC reinforced composite exhibited lower wear loss as compared to the unreinforced alloy in order to suggest most suitable material for brake pad Application.

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Since we are in era of AI (artificial Intelligence). Were each and everything is hyped with AI though it doesn’t make valuable difference in performance. But it is in developing stage and to get better result we have to give it some time to get better .AI at initial stage is always in learning stage. This paper is all about how AI works in certain environment. This paper completely depends on working of AI mechanism and various algorithms to make most effective AI technology that adapt very well to given environment.

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Orthogonal Frequency Division Multiplexing (OFDM) is a hopeful technique for attaining high data rates in mobile environment because of its multicarrier modulation. As the sub carriers are orthogonal in OFDM, the spectrum of each carrier has a null at the center frequency of each of the other carriers in the system. But in time varying channel the orthogonality between subcarriers are distorted due to Doppler Spread (DS) which introduces the Inter Carrier Interference (ICI) that diminishes the system performance. To enhance the OFDM system performance over time varying channels, an ICI self-cancellation scheme driven with the transmitter Hamming and Hanning windowing are implemented. The time domain Hamming and Hanning windows immediately after Inverse Fast Fourier Transform (IFFT) cancel the ICI fractions from adjacent subcarriers significantly. As a result, the frequency domain channel matrix reshaped by the Hamming and Hanning windowing can be closely approximated to a strictly banded matrix. The estimation of the channel matrix is done with the assistance of the pilot tones in the Complex Exponential Basis Expansion Model (CE-BEM). The CE-BEM channel estimation performance is evaluated in terms of bit error rate for proposed system and compared with cyclic prefix OFDM system with time varying channel.

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In this paper we will be discussing about Artificial intelligence in Home automation system. It is normal to forget some important things in home just like some time we forget to OFF the switches of the appliances at this situation the home automation is useful concept for us. For a smart and intelligent home it is important to use Artificial Intelligence with the Home Automation System. To implement Artificial Intelligence in Home Automation IoT (Internet of Things) is used. Internet of Things (IoT) platforms allowed us to gather huge amounts of perceiving data. The idea behind that is to access the Home remotely through the internet. The main feature of this system is to control the energy levels of home usage like speed of fan based on temperature, intensity of light and another feature that get the prestige of our home appliances from our android mobile phone.

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