A Case for 802.11 Mesh Networks

Abstract

The improvement of reinforcement learning has developed cache coherence, and current trends suggest that the evaluation of extreme programming will soon emerge. After years of confirmed research into active networks, we show the study of the exploration of mesh networks describing an analysis of OftNet system.

Self-Learning, Interposable Algorithms

Abstract

Given the trends in metamorphic methodologies, network engineers dubiously note the simulation of Internet QoS, which embodies the significant principles of software engineering. In this paper, we introduce the analysis of A* search Blackpoll and not whether the partition table can be made introspective, distributed, and self-learning.

Self-Learning Archetypes for Information Retrieval Systems

Abstract

The implications of multimodal technology have been far-reaching and pervasive. Given the trends in read-write algorithms, development of web browsers, search engines, data mining demonstrates the important importance of information retrieval systems. In this paper, we discuss models for self-learning information retrieval systems using Ged.

Applications – Aware Big Data Deduplication in Cloud Environment

Abstract

Deduplication has turned into a broadly sent innovation in cloud server farms to enhance IT assets productivity. Be that as it may, conventional systems confront an extraordinary test in enormous information deduplication to strike a sensible tradeoff between the clashing objectives of versatile deduplication throughput and high copy disposal proportion. We propose App Depute, an application-mindful adaptable inline dispersed deduplication structure in cloud condition, to address this difficulty by abusing application mindfulness, information comparability and region to upgrade circulated deduplication with between hub two-layered information directing and intra-hub applicationmindful deduplication. It initially administers application information at document level with an application-mindful steering to keep application area, at that point appoints comparative application information to a similar stockpiling hub at the super-lump granularity utilizing a hand printing-based stateful information directing plan to keep up high worldwide deduplication effectiveness, in the meantime adjusts the workload crosswise over hubs.

Comparative Study of Tube in Tube Structures and Tubed Mega Frames

Abstract

Nowadays, tall buildings are generally constructed with a central core or shaft that transfers the gravity loads down to the foundations. The central core occupies the major part of the floor space and there is less room for the actual purpose of the building, such as offices and apartments. This leads to the less rental profit. At a certain height of the building, the central core will not alone manage to keep the building stable. Therefore it needs to be connected with lateral resisting systems to withstand the horizontal forces. Tube in tube structures is particularly suitable for all tall buildings. A tube-in-tube structure comprises of a peripheral framed tube and a core tube interconnected by floor slabs. The Tubed Mega Frame system is design without the central core and the purpose is to transfer all the loads to the ground via the perimeter of building, making the structure more stable since the lever arm between the loads is maximized. In order to do comparative study on the seismic performance of tube-in-tube structures and tubed mega frame structures different models were developed in ETABS software. In which the horizontal slabs and beams connecting vertical elements are assumed as continuous connecting medium having equivalent distributed stiffness properties.

OPTIMUM POSITION OF AN OUTRIGGER SYSTEM IN A HIGH RISE REINFORCED CONCRETE BUILDING

Abstract

Now a days, tall buildings are mostly build with central core (comprising of shear wall or braced frame) at the center to transfer the loads down to the ground and provide resistance towards lateral forces. The central core consume a large part of the floor space and so there is less space for other purpose of the building, such as office and apartments. The out turn of this is also less rental profitable. At some height of the structure, the central core would not be sufficient to keep the structure stable. Therefore it needs to be connected with the outrigger system to withstand the lateral forces. In this project the analysis of the structure will be carried out to study the behavior of outrigger and its efficiency for its optimum position at different locations. The three sets of outrigger models are subjected to wind and earthquake loads and it will be analysed for 40 storey building and compared to find the lateral displacement reduction, storey drift, base shear and time period related to the outrigger location. The dynamic analysis is carried out based on IS 875(part 3) and the earthquake load using IS 1893 (part1) 2002.The location of outrigger will be used for three optimum positions of outrigger i.e 1/2 th height of the building, 1/4 th height of the building and 3/4 th height of the building. The analysis will be done for zone 5 and 2.

PERFORMANCE OF SHEAR WALLED FRAMED STRUCTURE RESTING ON PILES IN LIQUEFIED SOIL

Abstract

Numerous damages have been evidenced during earthquakes (EQ) due to incomprehension of soil strata and structure interaction effects in the design of structure and foundation system. These damages are due to several reasons of changes in soil properties. Among these, Liquefaction of soils is more hazardous especially in Earthquake (EQ) prone zones. This paper deals with the Seismic analysis of RCC Frame structure founded on soil subjected to liquefaction. Seismic analysis is done by Response Spectrum method using STAAD software. Pile foundation which are usually suggested for Liquefied soil is also modeled and analyzed. Available field data of earthquake and liquefied prone zone near Muzaffarnagar, Uttar Pradesh, were collected and soil properties were extracted. Based on the stratigraphy and general trend of Standard Penetration Test (SPT) values, the pile capacities were calculated. The performance of Pile foundation in Liquefied earth and Non-liquefied earth were studied depending on various superimposed loads due to Dead load, live load, wind forces and seismic forces. Various comparisons and alternative studies on the performance of Super-structure for different pile capacities are compared and contemplated.

Ultra Wide-band (UWB): Characteristics and Applications

Abstract

Since the release by the Federal Communications Commission (FCC) of a bandwidth of 7.5GHz (from 3.1GHz to 10.6GHz) for Ultra-wideband (UWB) wireless communications, UWB is rapidly advancing as a short range high-speed high data rate wireless communication technology. This technology is an unlicensed service that can be used anywhere, anytime, by anyone. UWB which is well known for its use in ground penetrating radar (GPR) has shown interest in communications and radar applications. Unlike traditional systems, this can only operate over a specific range of frequencies. UWB devices operate by employing a series of very short electrical pulses (billionths of a second long) that result in very wideband transmission bandwidths. In addition, UWB signals can run at high speed and low power levels. In this paper we discus several applications where UWB supports, such as positioning, geo-location, localization (accurate positioning and high multipath environments), radar and sensor applications (vehicular, marine, GPR, sense-through-the-wall (STTW) and surveillance systems), communications (high multipath environments, short range communications and high data rates) and roles of UWB in medical applications, medical monitoring and medical imaging.

ANALYSIS OF MULTI-STORIED BUILDING OF VARYING THICKNESS OF SHEAR WALL ON SLOPING GROUND

Abstract

This study is to investigate the effect of different thickness of shear wall on sloping ground of multi-storied buildings. Building models with shear walls are developed using ETABS. The location of the shear walls are kept same and a comparative study is done for different thickness of the shear wall for different height of the building. In each of the cases corresponding Investigate is done for the effect of different thickness of shear wall on multi-storied building.

REVIEW OF APPLICATION OF GIS IN BUILT HERITAGE CONSERVATION

Abstract

The cultural heritage inventory of a particular region is mainly used for any analysis of macro level issues. Heritage preservation, regeneration and conservation are demonstrated in the current situation of urbanization for significant regions. GIS is used for database creation with its own limitations. Exploring the tangible and intangible aspects of a region has to be interlinked with maps, its location, attributes and the current issues which are possible in GIS maps. It is used as one of the main infrastructure elements for a range of planning and it helps the government authorities in combining the complex information. In this paper, review of application of GIS in various heritage areas and its usage is analyzed. Few of the application have been already established with protection zones criteria and few countries have given open public options to educate the community. There are also countries started with cultural resource management by utilizing GIS.

Heart Rate Calculation by Detection of R Peak

Abstract

Electrocardiogram (ECG) is one of the most common bioelectrical signals, which play a significant role in the diagnosis of heart diseases. One of the most important parts of ECG signal processing is interpretation of QRS complex and obtaining its characteristics. R wave is one of the most important sections of this complex, which has an essential role in diagnosis of heart rhythm irregularities and in determining heart rate variability (HRV). This paper employs Hilbert transforms and wavelet transforms as well as adaptive thresholding method to investigate an optimal combination of these signal-processing techniques for the detection of R peak. In the experimental sections of this paper, the proposed algorithms are evaluated using both ECG signals from MIT-BIH database and synthetic data simulated in MATLAB environment with different arrhythmias, artefacts, and noise levels. Finally, by using wavelet and Hilbert transforms as well as by employing adaptive thresholding technique, an optimal combinational method for R peak detection namely WHAT is obtained that outperforms other techniques quantitatively and qualitatively.

A Review paper on entropy maximization and background estimation based method is used for the rain removal

Abstract

The rain removal from an image in the rainy season is also a required task to identify the object in it. It is a challenging problem and has been recently investigate extensively. In this paper the entropy maximization and background estimation based method is used for the rain removal. This method is based on single-image rain removal framework.

Analysis and Dimension Reduction of Big Data: A Review

Abstract

ABSTRACT— Nowadays Big data and Dimension Reduction Techniques are very challenging and critical issues in every organization. Big Data is huge size of data that generated through various sources like Social media, Sensors, Surveillance Systems, and Networking etc. In fact we are living in digital era where all daily life work by machines like reading morning news paper in tablet or in mobile, online shopping, digital home surveillance and may more things. This kind of work generates lots of data, called Big Data. To reduce the complexity and unwanted data from large volume of data, use dimension reduction techniques. There are lots of dimension reduction techniques available and work done by different researchers. This paper explores the existing research, challenges, open issues and future research direction for this field of study.

MATLAB Simulation and Modeling for Acoustic Noise Reduction Using Adaptive Filter

Abstract

In this paper , least mean square algorithm is used to subtract noise from input signal with the help of Simulink using MATLAB 11a software. In this thesis acoustic noise cancellation model is used to suppress acoustic noise .This model consists Acoustic Environment subsystem and adaptive filter to remove the noise from the signal output adaptive filter to remove the noise from the signal output. Reference signal is used in LMS filter and the desired signal, to automatically match the filter response. As it used to the correct filter model, the filtered noise is subtracted and the error signal should contain only the original signal. Various blocks are combined with each other to design the model. After filtration Block LMS filter produces output as rectified voice which is very similar to original signal and the noise signal is removed. By using this technique, the acoustic noise is suppressed to a much larger extent from the original speech signal and helps in better communication. The experimental results show that it provides a greater SNR value. Using Simulink various experimental results are obtained. We have done the analysis of SNR value for different type of noises and collect result values in the form of tables which shows how SNR value changes with time. . Results are also shown on a new six dimensional model.

Implementing Occupancy Based Wireless Lighting Control Strategies with Online Simulations for Energy Conservation

Abstract

It is concerted attempt in achieving improved energy performances by measuring the occupancy status in a building. This work aims to highlight several opportunities to create and implement an energy conservation plan within a building using wireless medium of communication through Wi-Fi. The objective is to conserve energy by exploiting the state-of-art technology and to control luminaries in a building by deployment of occupancy sensors at potential sites. The system design should be highly rugged, compact and plug-n-play type. Also to obtain live streaming of data on a desktop computer screen using Sci-Lab platform to draw plots required for further analysis.

Comparative study of seismic analysis of transfer beams on different soil condition for zone II and zone III

Abstract

Identifying the Prevalent News Topics and Assigning Rank Using Social Media Factors

Abstract

Broad communications sources, specifically the news media, have customarily educated us of every day occasions. In present day times, web-based social networking administrations, for example, twitter give a tremendous measure of client created information, which can possibly contain instructive news-related substance. For these assets to be helpful, we should find an approach to filter clamor and just catch the substance that, in light of its similitude to the news media, is viewed as important. In any case, even after clamor is expelled, information over-burden may in any case exist in the rest of the information—henceforth, it is helpful to organize it for utilization. To accomplish prioritization, data must be positioned arranged by evaluated significance considering three components. In the first place, the fleeting prevalence of a specific point in the news media is a factor of significance, and can be viewed as the media center (MF) of a subject. Second, the fleeting pervasiveness of the theme in online networking shows its client consideration (UA). Last, the connection between the online networking clients who say this point indicates the quality of the group talking about it, and can be viewed as the client collaboration (UI) at the subject. We propose an unsupervised system SociRank which identifies news point’s common in both online networking and the news media, and afterward positions them by importance utilizing their degrees of MF, UA, and UI. Our investigations demonstrate that SociRank enhances the quality and assortment of consequently identified news subjects.

PREDICTIVE SENTIMENTAL ANALYSIS FOR DEPRESSION CONTROL AND MOTIVATION

Abstract

We have come up with a framework comprising of an idea of analyzing the feelings of a person to mock up a future scenario through machine learning and trigger good, inspirational and motivational quotes and positive thoughts. Also counselling videos to help relax minds depending on the type of worry can also be done by screening the sentiments of a human by some factors which will mostly not revealed to anyone. So keystrokes can be analyzed for proper prediction and the accuracy is increased my monitoring his activities such as status and posts in the social networking platforms. This framework must be deployed in the server of the respective social platforms so that the privacy of the users is preserved. Through this monitoring, the help can be provided to the needful people at the right time. The need for this platform have raised since the generation nowadays are not ready to share anything with anyone because of either fear or shyness. But this will be a boon to such a group of people since they can be helped automatically without requesting personally. So this framework platform will definitely reduce the pressure in minds of today's generation, which will become highly demanding in the years to come.

Vibrational and Tribological Analysis of Bearings Under different load and speed condition with Experimental Method and FEA

Abstract

To meet today’s requirements for higher performance of machines; bearing of various types used in those machines becomes more important to give high performance continuously. On the basis of way to provide the carrying capacity, we recognize radial hydrodynamic bearings and hydrostatic bearings. Hydrodynamic bearing are the elements of machines which works under elasto-hydrodynamic lubrication conditions. Due to radial clearance journal bearings have self-induced vibrations. There is trend of monitoring different machine components with the help of data generated by vibration by these components for ensuring their reliable and effective working. Bearing vibration analysis is becoming popular for monitoring bearing performance. This study deals with vibration and tribological analysis for different bearings. The bearings are normally used components in machinery for a wide range of applications. Bearing is a mechanical element which permits relative motion between two parts, also used to support the shaft and takes up forces acting on shaft. It is crucial part of any rotary components and its failure causes disastrous failure of machinery. In this work, performance of hydrodynamic journal bearings with different groove geometry is investigated. This work carried out with two helical, three helical grooves and non-groove (plain) bearings, tested at radial load and RPM are mottled within specified range an experimental vibration signals were obtained. The bearing shows different behavior for different loading and speed conditions with same groove locations. Vibrational analysis is the effective tool for monitoring the conditions of bearing before they get failed. The vibration signal analysis has been carried out in Frequency domain by FFT analyzer. Results obtained by experimentation were in amplitude versus speed. The tribological performances of plain, two groove and three groove journal bearings were investigated in this dissertation work. Several experiments were performed under different static loads by using pin on disc tribometer. The tests were conducted at different speed and different loading conditions. The results were in the form of coefficient of friction.

ROLE OF MGNREGA FOR ECONOMIC DEVELOPMENT OF WOMEN (WITH SPECIAL REFERENCE OF NEARBY VILLAGES OF AMBIKAPUR CITY)

Abstract

Abstract — MGNREGA is an ambitious scheme providing employment to rural people of India. The Mahatma Gandhi National Rural Employment Guarantee Act 2005 (MGNREGA) is an INDIAN labor law and social security that measure aims to guarantee the “Rights to Work”. The achievement of inclusive growth and overall development is highly dependent on the gender equality and prosperity of women in the rural society. This paper explains the potential of this program and its role in individual performance on gender equality. 10 Panchayats of Ambikapur city of Surguja district of Chhattisgarh has taken as a sample for the study. The study focuses on the role of MGNREGA of economic development of women in nearby village of Ambikapur city.

Applications of Stochastic Models on Test mis-scaling in Educational and Psychological Measurement

Abstract

In this paper stochastic models are developed to study the rate of test mis-scaling in educational and psychological measurement. The mean and variance of geometric and negative binomial models are given to ensure the number of mis-scaling below a threshold k. Numerical illustration are also provided.

Design & Development of a Wireless Multi-Zone Temperature & Humidity Measurement System with Real-Time Data Monitoring on Mobile Device

Abstract

The objective of the study is to design, develop, install and perform tests for a highly versatile, microcontroller based multi-zone temperature and humidity measurement systems connected wirelessly with each other. There are client nodes acting as slaves and there is a server node acting as their master. The master is responsible for collection of the overall data of its own as well as from all these slave nodes and further provide it to the user remotely in real-time on his/ her cellular phone. All the units will be wireless connected and made to establish communication with each other using standard Wi-Fi protocol and for this purpose Wi-Fi modules to be deployed with each unit separately. In this system different slave/client nodes will collect their individual data related to the temperature and humidity using sensors. This data will be received by a master/server node which further transfers this data to a specific android app in the user’s cellular phone. User can get the updated information of multi-zones using the refresh button provided in android app, each time when required. The hardware prototype will validate the work.

Oscillation and Stability in a Damped Non Homogeneous Mass Spring System

Abstract

This paper deals with some dynamical behavior of Damped Non Homogeneous mass spring system. Both ordinary differential equations and discrete fractional order equations versions are considered. Stability at equilibrium positions are discussed with the analysis of Jacobian matrix. Also the results are illustrated with numerical examples with suitable parameters showing the rich dynamical behavior.

A grid-connected PV system based on multilevel modular capacitor clamped dc-dc converter

Abstract

In this paper, an improved Multilevel Modular Capacitor Clamped Converter (MMCCC) is proposed to integrate PV system with the electrical grid. The structure of the MMCCC is reduced to allow only power flow in one direction from PV system to the dc-grid. Moreover, a soft-starter consists of resistor and bypass switch is connected to the low voltage side of the MMCCC to allow for the initial charging of the capacitors to their operational voltage. This action eliminated the need for independent control technique during startup. The PV module output is connected to conventional converter controlled by Perturb and Observe (P&O) technique to track maximum power. The proposed five-level unidirectional MMCCC is connected in cascade with the conventional converter to boost the PV voltage to the grid level. Simulation is performed on EMTDC/PSCAD platform to validate the effectiveness of the proposed topology.

“EFFECT OF FLOATING COLUMN POSITION ON MULTI-STORIED RCC STRUCTURES SUBJECTED TO DYNAMIC LOADS”

Abstract

In recent years, many multi-storey and commercial buildings are constructed with architectural complexities. The complexities are soft storeys or floating columns at various positions and storeys. The buildings with floating columns built in seismically active areas are very dangerous. The storey shear that are developed at different storey level in building due to earthquake force is to be transferred to the ground through the shortest path. But due to the presence of floating columns in the structure, there will be discontinuity in the load transfer path which results in the change in the behaviour of structure and change of the load transfer path. Present study focuses on the effect of the floating column position on multi storied RCC structures subjected to dynamic loads and the building models are analyzed using time history analysis with the assumption that the structure will be subjected to all the loads or full load in a single stretch when the whole structure is constructed completely. The dead load due to various structural components and finishes are imposed on the structure sequentially as the construction is done storey-wise. For better understanding the non-linear behaviour of material and the structural members, the construction sequence analysis is carried out. The analysis of the building models is done with the help of SAP2000 software. Many buildings are planned and constructed with architectural complexities. The complexities include various types of irregularities like floating columns at various level and locations. These floating columns are highly disadvantageous in building built in seismically active areas. The earthquake forces that are developed at different floor levels in building need to be carried down along the height to ground by shortest path, but due to floating column there is discontinuity in the load transfer path which results in poor performance of building. Multi-storey buildings in urban cities are required to have column free space due to shortage of space, population and also for aesthetic and functional requirements. For this buildings are provided with floating columns at one or more storey.

DRAW: A New Data-gRouping-AWare Data Placement Scheme for Data Intensive Applications with Interest Locality

Abstract

Abstract—Recent years have seen an increasing number of scientists employ data parallel computing frameworks such as MapReduce and Hadoop to run data intensive applications and conduct analysis. In these co-located compute and storage frameworks, a wise data placement scheme can significantly improve the performance. Existing data parallel frameworks, e.g. Hadoop, or Hadoop-based clouds, distribute the data using a random placement method for simplicity and load balance. However, we observe that many data intensive applications exhibit interest locality which only sweep part of a big data set. The data often accessed together result from their grouping semantics. Without taking data grouping into consideration, the random placement does not perform well and is way below the efficiency of optimal data distribution. In this paper, we develop a new Data-gRouping-AWare (DRAW) data placement scheme to address the above-mentioned problem. DRAW dynamically scrutinizes data access from system log files. It extracts optimal data groupings and re-organizes data layouts to achieve the maximum parallelism per group subjective to load balance. By experimenting two real-world MapReduce applications with different data placement schemes on a 40-node test bed, we conclude that DRAW increases the total number of local map tasks executed up to 59.8%, reduces the completion latency of the map phase up to 41.7%, and improves the overall performance by 36.4%, in comparison with Hadoop's default random placement.

Fault Analysis of Grid Connected Induction Generator Driven By Wind Power Generation

Abstract

Developments in wind turbine technology are facilitating the increase of power generation capacity from renewable energy resources. The utilization of the squirrel-cage induction generator for wind power generation has some advantages over that of conventional synchronous generators. In this paper an induction generator model driven by wind turbine and connected to the grid is simulated in SIMULINK / MATLAB. Static Var Compensator (SVC) and capacitor bank improves the response of grid connected wind farm. The simulation results confirm that the competitive dynamic response of the system using capacitor bank and SVC.

Monitoring and Data Acquisition of Agro-Climatic Parameters Using Multi Sensor System

Abstract

The aim of this work was to develop a smart sensor based monitoring system for agricultural environment using a computational platform which comprised of wireless protocol, different types of sensors, serial protocol. Different types of sensors such as temperature, air pressure, soil moisture and relative humidity senses the data in agricultural environment and provide it to microcontroller, interfaced with the memory card and GPS module. The GPS module is used to determine the earth coordinates of different locations and SD card is used to store the different sensors values against each location. This data can be used for further analysis to improve farming strategies in the agricultural fields.

Performance and Emission Characteristics of Diesel engine Fuelled with Diesel, Cedar wood oil and Eucalyptus oil.

Abstract

The world currently facing two major problems one is depletion of fossil fuels and other is environmental degradation. And it is necessary to find an alternative fuel. It should ensure less exhaust emissions, and it should match with the parameters of pure diesel. Compare to animal fats vegetable oils physical and chemical properties are quite similar to diesel.

Result analysis of Power Flow Control and Line Deicing Using a Bundle-Controlled Line Impedance Modulator in MATLAB/SIMULINK

Abstract

This paper presents a flexible ac transmission system device under development for the management of power flow under steady-state and dynamic conditions, the bundle-controlled line-impedance modulator (LIM) in MATLAB/SIMULINK. In its simplest form, an LIM is made of switching modules connected in series with transmission-line segments whose bundles have subconductors insulated from each other. A module contains one switch in series with each subconductor of a bundle and the modules are anchored to dead-end towers in place of yoke plates. Together, with the measurement of sensors and controls, these modules can be used to change series impedances of transmission lines and implement functions, such as deicing and power-flow control. Finally, the LIM performance is analysed.

EFFICIENT DATA GATHERING FROM CLUSTER HEADS USING DATA FERRIES FOR WIRELESS SENSOR NETWORKS

Abstract

In the wireless sensor networks the The ferries are used to gather the information This paper proposes an efficient data gathering from cluster heads using data ferries for wireless sensor networks uses the clustering, cluster head, travelling salesman problem with the Genetic Algorithm. The proposed scheme improves the network life time, the results are shown using simulation.

IoT Based Garbage Bin Monitoring

Abstract

This work aims at providing an IoT based architectural solution to tackle the problems faced by the present solid waste management system. By providing a complete IoT based system, the process of tracking, collecting and managing the solid waste can be easily automated and monitored efficiently. By taking the example of the solid waste management crisis of many cities, India, i have come up with the overall system architecture to give a IoT based solution to improve the reliability and efficiency of the system. By making use of sensors, we collect data from the garbage bins and send them to a gateway. The data from various garbage bins are collected by the gateway and sent to the cloud over the Internet and when the garbage bin reaches specified level, message will be send to truck driver providing the location link of the garbage bin . The main advantage of the proposed idea of work is to clean the garbage bin as soon as possible and to keep city clean and keep healthy environment .

IOT Based Smart Security For Food Storage System

Abstract

Agriculture part being the foundation of the Indian economy merits security. Security not as far as assets just but rather additionally rural items needs security and insurance at extremely starting stage, similar to assurance from assaults of rodents or creepy crawlies, in fields or grain stores. Such difficulties ought to likewise be mulled over. Security frameworks which are being utilized now a days are not sufficiently brilliant to give ongoing notification subsequent to detecting the issue. The joining of conventional approach with most recent advances as Internet of Things and Wireless Sensor Networks can prompt rural modernization. Keeping this situation in our mind we have outlined, tried and examined a 'Web of Things' based gadget which is equipped for breaking down the detected data and after that transmitting it to the client. This gadget can be controlled and observed from remote area and it can be executed in agrarian fields, grain stores and chilly stores for security reason. This paper is arranged to complement the techniques to tackle such issues like identification of rodents, dangers to crops and conveying continuous notification in light of data examination and preparing without human intercession. In this gadget, said sensors and electronic gadgets are incorporated utilizing Python contents. In light of endeavored test cases, we could make progress in 84.8% experiments. Index Terms—Internet of Things (IoT); Agriculture; Security; Raspberry Pi; Sensors; Wireless Sensor Network (WSN);

Supply of Agricultural Product by Ensuring Quality through Block chain Technology

Abstract

The research undertaken by association such as WHO 420,000 die every year, follow-on in the failure of 33 million strong life years. A nearly 1 out of 10 people in the world fall sick after overwhelming unhygienic food stuff. Food can happen to unhygienic at any location of manufacture and deliverance. The passage of foodstuff is unseen to the customer, though it flows from the manufacturer, dispenser, storeroom facilities, merchant etc. Thus, the paper aim at using RFID (Radio Frequency Identification) and block chain technology as a platform of traceability. An open-source, decentralized, distributed database for storing transaction information is utilized rather than relying on centralized intermediaries. This technology will allow parties to transact openly using duplicate, linked ledgers. This can monitor the deliver chain of the stuff so as to build a positive trust with an end user about the result.

STUDY OF THE BEHAVIOR OF ZIPPER BRACED FRAMES

Abstract

Due to the buckling of compressive brace in inverted-chevron braced frames, an unbalanced vertical force has to be applied on the intersection of braces and above beam, which will make an oversized displacement at the beam mid-span. This disparate force results in a strong beam design which is not proportionate to other members. Also, buckling of the compressive brace, results in a localization of the failure and loss of the lateral resistance. One of the ways to overcome this problem is to use a vertical structural element at the beam mid span from the second to the stories above, called zipper strut. In order to evaluate the behavior of this new system, known as the zipper braced frame, some in-plane frames with zipper struts was modeled in Open Sees, along with chevron frame system. These models were analyzed under response spectrum and their ductility, drift and internal forces of the members were compared with each other. Here the seismic response are evaluated by using equivalent static analysis, response spectrum analysis and linear time history analysis seismic analysis for the structure of 10-storey building by providing zipper bracings will be carried and compared with the inverted V type of bracings for the zone-2 & zone-5 using ETABS.

STUDY OF THE STATIC STRUCTURAL ANALYSIS OF THE MONO CRANKSHAFT FOR BENDING AND TORSIONAL LOADS

Abstract

In this paper deals with application of Finite Element Analysis for determining the effectiveness of a Mono crankshaft in meeting the intent of the design. A finite element model was created as the first step. Then a Finite Element Analysis of the Mono crankshaft was performed, including a static analysis and since the crankshaft experiences dynamic loads, a Free-Free modal analysis is performed. Appropriate elements size, boundary condition and loading conditions were applied on the FE model. Using Mass Beam element, a mathematical model was created for the free-free modal analysis. The analysis was validated through mathematical hand calculations. Hypermesh is used as a Pre-processors for meshing and generating Finite Element Model. ANSYS 10 has been used as a Solver and Postprocessor for the Analysis and the interpretation of results. The analysis is carried out to assess the strength and stiffness of the crankshaft using the CAE tools. The results of Finite Element Analysis and the mathematical calculations are as discussed.

Frictionless Energy Generation Using flywheel

Abstract

Energy generation system plays a very important role in recent years. For age’s flywheel have been used to store rotational energy and smooth operation of machine. In present time flywheel has many different part where energy is store and transferred from flywheel to battery or motor. This is done with the help of magnet and copper winding arrangement. One of the key part of this system is high overall efficiency hence reduction of total frictional losses. The inertia of flywheel can be increased by increasing the size of flywheel. The result showed that energy generation can be achieved by flywheel without any friction.

Design of Low power and Area Efficient 8-bit ALU using GDI

Abstract

The design of an 8-bit Arithmetic Logic Unit (ALU) by using four different techniques which are conventional CMOS technique, Sleepy Transistor technique, LECTOR technique and Forced Stack technique. ALU is the most crucial and core component of central processing unit as well as of numbers of embedded system and microprocessors. In this work, ALU consists of 4x1 multiplexer and 2x1 multiplexer and full adder designed to implement Logical operations such as AND, OR, XOR, NOT and Arithmetic operations such ADD WITH CARRY, SUBTRACT WITH BORROW, ADD WITHOUT CARRY, SUBTRACT WITHOUT BORROW. The low power techniques are becoming more important due to rapid development of portable digital applications, demand for high-speed and low power consumption. GDI (Gate Diffusion Input) is one of the low power and area efficient technique. GDI requires less number of transistors compared to CMOS technology. Arithmetic logic unit (ALU) is an important part of microprocessor. In digital processor logical and arithmetic operation executes using ALU. In this paper we describes 8-bit ALU using low power11-transistor full adder (FA) and Gate diffusion input (GDI) based multiplexer. By using FA and multiplexer, we have reduced power and delay of 8-bit ALU as compare to existing design. All design were simulated using DSCH and Microwind 3.5 in 65 nm BSIM4 technology. Performance analyses were done with respect to power, delay and power delay product.

Geopolymer concrete with partially replacement of granite waste a fine Aggregate

Abstract

Granite wastes are generated from granite polishing industry or granite cutting industry. Disposal of granite waste is a major problem. As the granite waste is reactive it cannot be disposed into land which increases land pollution. As per world health organization report production of cement concrete accounts to about 5 % of the man made pollution for global warming. The granite waste because of its fineness and size it can be effectively used as a replacement of sand. An attempt was made to introduce granite aggregate into geo polymer concrete.. The paper present results of experimental program on mechanical properties such as compressive strength, flexural strength, and split tensile strength of Geopolymer concrete in two composite 90% fly ash, 10% GGBS or lime with varying percentage of granite waste in Ambient Curing.

Evaluate properties of fly ash based Geopolymer Bricks

Abstract

In the recent years, study focus on the sustainable construction development. As the effect of greenhouse gases is increased more due to high range of CO2 emissions associated with manufacturing process of OPC. Hence, research studies the possibility of geopolymer manufacturing from fine fly ash (Class F) and Alkaline solution, then studied the hardened properties of fly ash bricks with addition of lime and gypsum. In this paper, we have studied the composition of high-strength fly ash-lime bricks using a fine pulverized fuel ash class-F. The purpose of this research is to evaluate properties of pulverized fuel ash based geopolymer brick along with its durability, the size of the brick is adopted as 230mm×110mm×70mm. The brick is casted with different percentages of Fly ash (55-65%), M-sand (25-35%), Hydrated lime (5-15%) and Gypsum (3%). According to the various research, the optimum w/b ratio is to be taken as 0.35 and the temperature for curing is to be selected as normal room temperature. The tests on specimen to be conducted are a compressive strength, water absorption test, efflorescence test, impact test for various mixing proportions on respective curing period of 7 days,14 days and 28 days. From the results, the maximum optimized results are obtained for optimum mixing proportion of Fly ash-65%, Hydrated lime-12%, Gypsum-3%, M-sand -25%.

RELIABILITY PREDICTION OF SPECIFIC SURFACE AREA OF SUB -BITUMINOUS COAL PARTICLES USING BRUNAUER-EMMETT-TELLER (BET) DATA

Abstract

This study presents specific surface area of Sub-Bituminous Coal Particles using Brunauer-Emmett-Teller Data. Study of this kind aided in suggestions to identify overall adsorption rate of the coal particles. BET test result showed all the chemical properties of coal. The higher values of specific surface area on the smaller particles determined from BET model result implies that the smaller particles have more adsorption sites for reaction more than the larger particles. The coals were ground dry with a milling machine into powder form and sieved with seven standard sieves of size ranges 75m - 850m. The sieved coal powders were measured and subjected to heat treatment machine for degassing (removal of unwanted material) which is known as physiosorption. This material was then set up in the BET machine to identify the chemical properties and data as well.