Today the application of concrete is rapidly increasing worldwide; it is already the most used manmade material in the world as it is relatively cheap and its basic ingredients (sand/ gravel/ water) are readily available. However, the development of a sustainable concrete is urgently needed for environmental reasons. It is clear that cement, the key binder ingredient in concrete has a high environmental impact. Presently about 10% of the total anthropogenic CO2 is due to the cement production solely. Today innovation is leadingly being inspired by nature as a sustainable alternative. Hence, taking notes from biotechnology, investigation is being conducted to create concrete the way nature does with microorganisms. The objective here is to study the application of bacterial species i.e. Bacillus Pasteuri to improve the strength of fly ash concrete. The dormant but viable bacteria in the concrete matrix will contribute to the strength of the concrete. Water which enters the concrete will activate the dormant bacteria which in turn will give strength to the concrete through the process of metabolically mediated calcium carbonate precipitation. The spore forming Bacillus Pasteuri may be able to survive in this artificial environment and increase the strength and durability of cement concrete. We found that incorporation of this bacteria will not negatively affect the compressive and split tensile strength of the cement concrete instead induce the precipitation of calcite. Microbial Induced Calcite Precipitation is highly desirable because the calcite precipitation induced as a result of microbial activities, is pollution free and natural. Microbial calcite precipitation was visualized by Scanning Electron Microscope. The unique imaging and microanalysis capabilities of SEM established the presence of calcite precipitation inside cracks, bacterial impressions and a new calcite layer on the surface of concrete.

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This paper focuses on the control problem of the cart triple link inverted pendulum by LQR controller. Firstly a mathematical model for the cart triple link inverted pendulum system is presented using Lagrange equation. This model is then used to design a full-state feedback controller based on the LQR method to stabilize the system. It is then compared with an observer based LQR controller. The stability, controllability and observability are investigated and the choice of weights in LQR also discussed. The system is simulated in MATLAB environment and the simulation results establish the satisfactory performance of LQR controller in stabilizing the system.

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The ultimate aim of the data mining process is to generate the information and to discover the pattern based on the organization data. This data is help to the organization to plan some business strategy and plan for some marketing strategy to growth the business and to make profit. Sales data mining and analysis is used by most of the organization to analysis the sales and their customer. The analysis may be performed monthly, quarterly or yearly based on the requirement of organization. The sales analysis is also performed to understand the customers behavior based on their previous transaction. It helps to placing the right product, after analyzing the behavior of customer. The efficiency of analysis is depend on the size of data and the applied methodologies.

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This paper discusses the overview of the sugarcane harvesting, current processes used for sugarcane harvesting, need of the portable sugarcane harvester, various designs of sugarcane harvesting machines, problems regarding the current design of portable sugarcane harvester and possible solutions are also suggested to make the portable sugarcane harvester more efficient, economical and reliable for small scale sugarcane producers.

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The cognitive radio is one of the novel concepts from conventional exclusive spectrum assignment to dynamic spectrum assign. They provide the spectrum for efficient and sufficient utilization of the radio electromagnetic resources. Researches are focuses on the cooperative spectrum sensing technique to increase reliability of the spectrum for cooperative spectrum sensing technique are very difficult to tolerate with both individual node of the wireless network for the short time. In this paper proposes the energy detection method for spectrums sensing on the basis of estimated SNR, it is calculated in advance for available network. The proposed method in which is also analysis performance of the signal to noise ratio (SNR) and the Decision Accuracy using different wavelet family.

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Most of the present predictable diagnosis techniques are based on human experience in interpreting the MRI-scan for decision; certainly this increases the possibility to false detection and identification of the brain tumor. On the other hand, applying digital image processing ensures the quick and precise detection of the tumor. classification of MR brain images is extremely important for medical analysis and interpretation. In the previous decade several methods have already been proposed. This research obtainable a novel method to classify a given MR brain image as normal or abnormal using hybrid SVM. The proposed method shared with wavelet transform and PCA. The preprocessed image is segmented using K mean algorithm. Then this images concerned wavelet conversion to extract features from images, followed by applying principle component analysis (PCA) to reduce the magnitude of features. These reduced features submitted to Hybrid Support vector machine (SVM) for classification. The proposed system used to classify the disease is in normal stage or abnormal stage such as Benign or Malignant.

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Data Mining is the Process to extract knowledge from the data or data stream, Mining high utility itemsets focus on the itemset with high profit only, as data or itemset may be static or in a stream mine this type if data has become a significant research topic. In this research paper we have presented different methods available for mining high utility dataset , to develop algorithm for this requires logic to mine the high utility itemsets from data streams, We have compared following algorithms, One pass Algorithm, Two Phase Algorithm, Mining top k-Utility Frequent itemset, and Sliding window based algorithms like MHUI-BIT(Mining High Utility Itemset Based on BITVector), MHUI-TID(Mining High Utility Itemset based on TID-List) for lexicographical tree based summary data structure. And the FHM algorithm which we will used for our proposed work “Fast High Utility Miner) Using estimated utility Co-occurrence Pruning.

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the development of multimedia system technology in Content based Image Retrieval (CBIR) System is one in every of the outstanding area to retrieve the images from an oversized collection of database. The feature vectors of the query image are compared with feature vectors of the database images to get matching images. It is much observed that anyone algorithm isn't beneficial in extracting all differing kinds of natural images. Thus an intensive analysis of certain color, texture and shape extraction techniques are allotted to spot an efficient CBIR technique that suits for a selected sort of images. The Extraction of an image includes feature description and feature extraction. During this paper, we tend to projected Color Layout Descriptor (CLD), grey Level Co-Occurrences Matrix (GLCM), Marker-Controlled Watershed Segmentation feature extraction technique that extract the matching image based on the similarity of Color, Texture and shape within the database. For performance analysis, the image retrieval timing results of the projected technique is calculated and compared with every of the individual feature.

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This paper describes the WSN technology for monitoring the water data and also provides security and generates water quality analysis and index based on the modeling of the predation graphs using different linear interpolation techniques The Design of Wireless sensor network based on WIFI module and arduino board and GSM .The use of wireless sensors gives us a more precise way to get the water quality status at different places and may allow the easy deployment of monitoring stations at places of difficult access without the manual data retrieval. The aim of the project is to design a real time system for monitoring drinking water quality and quantity at customer sites. Using different sensors, this system will collect various parameters from water, such as pH, turbidity Conductivity et There is a set point for each parameters when these particular parameter Crosses its set point then and after every one minute time SMS sends on management mobile which contain the readings of measured water parameters, due to which it is possible for that management person to take Appropriate action in emergency.

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Sustainable development is development that meets the needs of the present without compromising the ability of future generations to meet their own needs. For engineers, sustainable development is the design of man-made systems to ensure the current uses of natural resources without affecting the quality of life of future generations. One of the natural resource that we can use is Sun which gives us solar energy. Solar energy can be converted into solar power. Solar power is produced by collecting sunlight and converting it into electricity. Solar energy is completely non-polluting, green energy, throughout its life free and also it does not emit any greenhouse gases into the atmosphere. The objective of this paper is to save electricity consumption used for common purpose at residential apartment. This paper presents the proposed idea of implementing solar electric system also called as photovoltaic (PV) system at Akshat Palms apartment , Solapur. Photovoltaic (PV) systems convert sunlight directly to electricity. They work any time the sun is shining, but more electricity is produced when the sunlight is more intense and strikes the PV modules directly. Solar power system provides safe and reliable power generation without the need and expense of installing utility power. This paper gives the description about how much electricity is currently used by the apartment for common purpose like lift, parking area, porch light etc and how this electricity consumption can be reduce by applying solar panels at this apartment. The study involves determining the size of PV system required for the apartment. Then comparison of the electricity generated by this PV system per year with the usage of current annual electricity. It is based on the electricity usage measured in kilowatt-hours for apartment over the past few months. This electricity bills shows usage of near about 4500 units per month. The goal of this study is to reduce this electricity consumption which will automatically reduce carbon emission. We can also assume that Solar Photovoltaic will play an important role in the overall energy supply for residential apartment. By applying solar PV system at residential apartment will automatically reduce the monthly maintenance cost which each flat owner have to pay.

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There are several industrial production processes that involve mechanical machining of cast parts by various operations such as turning, milling and drilling. It is the process of finishing which transform work pieces into the required dimensions and surface finish by quietly removing the excess of material from the blank in the form of chips with the help of cutting tool. The large space required to store the chips as loose chips have a large surface area. The scope of the project is limited to the design and analysis of metal chips compacting machine for Precision Turncomp Pvt. Ltd. Hingna, Nagpur. This company has a 3000kg/month chip formation from machining through CNC Lathe machines.

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A Residual Current Circuit Breaker (RCCB) is a current sensing device used to protect a low voltage circuit in case of fault. A residual-current circuit breaker (RCCB), is a device which is used for quickly disconnecting the current to prevent serious harm from an ongoing electric shock. Two major challenges that industries are facing, are continuous improvement in productivity and quality of the product. RCCB also requires some design changes for its effective working and to decrease the defects per million which is one of the biggest problem faced in industry. These manufacturers in RCCB has been successfully employing Design changes , the strong statistical tool ‘Shainin’ for Design of Experiments (DOE) and the root cause identification techniques for analysis and optimization of the quality related issues.

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This research paper pose templates are used to identify short term, long term, and contextual action from a video scene. Each pose template consists of two components: 1) shape template represented by Histogram of Oriental Gradient (HoG). 2) The motion template represented by Histogram of Optical-Flows (HoF). Totally five videos are taken in training phase. The images are converted into frames. Neural Network is used to identify these actions from the videos. The images are divided into back view and front view. The back view image is subtracted from the original image. Then from the front view image we extract the actions of the person. The HoG is based on identifying the edges of the image. The HoF is based on threshold value. The threshold value is the grade value. A shape template may have more than one motion template represented by or -node. Therefore, each action is defined as a mixture (Or-node) of pose templates in an and-Or tree structure. While this pose template is apposite for detecting short-term action snippets in two to five frames, we spread it in two ways: 1) For long-term actions, we activate the pose templates by adding temporal constraints in a Hidden Markov Model (HMM), and 2) for contextual actions which are detected by the complete set by using SIMULATION and area is obtained by using the MATLAB 2013 software.

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In india brick masonary is very common Structure built with brick units bonded together by mortar .Brick usually having a higher strength and stiffness compared to mortar. Further mortar is usually cementitious material having little tensile strength and showing brittle behavior. Use of suitable reinforcement in mortar could significantly enhance the performance of brick masonry for crack, shear, bond, compression, toughness and resistance. The aim of this paper is to analyze the improvements in the strength of mortar by using fiber. By performing appropriate experiments, an attempt was made to analyze the properties of fibre reinforcement mortar and its application in masonary work. An attempt was made to cast the cement sand mortar with a mixture of fibres in different volume and observing its compressive and tensile strength. The shear and compression bond tests were performed at different mix proportion of fibre reinforcement prepared units made with FRM and plain mortar .The tests were carried out according to ASTMC 780 and Indian specifications. After addition of fibre in mortar the compressive, tensile strength increases and toughness also increases and ultimate deformation decreases. The cost of Fibre reinforced masonry is slightly more than plain mortar but it was felt that FRM Unit has better crack propagation so it becomes a good alternative of earthquake resistant building in which simple mortar is used.

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The material storage system permit the materials to be stored for a specific period of time, until they are re-introduced. The common feature of storage systems is that loads remain stationary or static in their storage locations until removed from the system. The storage systems are more likely to be associated with low turnover inventories where manual storage and retrieval is a cost effective mode of operation. This project based on the design and analysis of industrial rack for storage of low weight high volume automobile parts such as front and rear bumpers of car.

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In this paper, we explain the detection of code smells in the source code along with the refactoring that code for the sake of quality improvement of source code and it is not gain saying that quality of code is hiked by the refactoring Techniques. Actually, the refactoring is a kind of procedure in which the internal structure of source code is improved but without disturbing the behavior of software. To crack the required results the Declarative Programming approach is followed along with object-oriented software metrics. Moreover, the finding of various code smells is possible only with the help of numerous Facts and Rules. We used this tool to find out the smells in one of the ECC application along with the other oops based case studies. Code maintainability index is represented in three categories (Hi, Low, Medium) that shows source code quality (Low, Hi, Medium).

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Data mining applications have been developed by both commercial and research Centers. These techniques have been used for industrial, commercial and scientific purposes. For example, data mining techniques has been used to analyze large data sets and establish useful classification and patterns in the data sets. “Agricultural and biological research studies have used various techniques of data analysis including, decision trees, statistical machine learning and other analysis methods”.

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Image Cryptography is technique of hiding some meaningful information inside the image so that the security of Secrete Information can’t be accessed by the external users. The Existing Haar Wavelet based Image Cryptography provides efficient Hiding of Secrete Information, but the methodology proposed is not efficient in terms of Security and Correlation Coefficients. Hence a new and efficient technique for the Image Cryptography is proposed which provides efficient results as compared to the existing Haar Wavelet based Image Cryptography. The Untried consequences are performing on various images of different sizes and categories. The Methodology adopted here is based on the combinatorial method of applying Improved Advanced Encryption Scheme based Encryption with Spread Spectrum Technique of secrete information thrashing and applying an effective cryptography algorithm.

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Agriculture is the most important trade of India. In India almost every cultivator (farmer) facing the labor shortage problem andhigh labor wages. The sugar cane harvesting is a very critical activity which involves great effort or workby labor for cutting the cane. The labors are experience sustained injuries due to intense stress on the joints and muscles of the body. And also modern world need faster rate of production of agriculture products. This research paper is based on design and fabrication of sugarcane cutting machine for Cane-can industry, this machine will be required to cut the sugar cane of size upto 10 ft. to a size of approx.2ft sugarcane stick should be cut in one cycle. The machine has to be semi-automatic, the operator will be responsible for feeding the machine with sugarcane sticks. The pieces of sugarcane will be finally collected by the operator at the end of operation. It reduces cost of labor as compared to manual operation. Also, consumed less time as compared to manual system and it will be safe.

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Machine learning methods for Intrusion detection system has been giving elevating accuracy and quality detection potential on novel strikes. At present the two primary techniques of recognition are signature-based and anomaly-based on their detection method. IDS occur in a collection of "spices" and approach the target of recognizing suspicious traffic in alternate methods. There are network based (NIDS) and host based (HIDS) intrusion detection systems. Artificial neural networks (ANN) have become very important and profitable in domains as pattern classification and regression, because using rule-based programming does not offer the right solution or any solution at all. The neural network contains both the supervised and as well as unsupervised learning. In this research work, a neural network based technique is proposed to prevent misuse detection in intrusion detection system. The technique will be implemented on labeled and non-labeled data and combination of both. The technique is implemented for accuracy of intrusion detection in each iterations of detection.

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Hydraulic press is a tool that functions by either, fluid pressure or hydraulic pressure. It is based on Pascal’s principle which states that the pressure throughout an enclosed entity is constant. In horizontal hydraulic presses the forces exerted by the pressurized fluid on a piston by means of manual or powered pumping element can be used for the press work operation such as blanking, punching, piercing, coining, trimming etc. This project is based on the requirement of G.S. Industries. The industry facing a problem of assembling and dismantling of heavy parts such as couplings, shaft, bearing and gears. Thus, it is very inconvenient to perform such operation on regular vertical press machines. So there is a need to design a horizontal press machine as a special purpose machine tool.

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