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Design & Fabrication of Portable Organic Waste Chopping Machine to Obtain Compost
Ajinkya Shekhar Hande ; Vivek Padole
Mechanical Engineering
Year: 2015, Volume:2, Issue : 3
Pages: 1 - 8
Organic composting forms the backbone & basic necessity of a poor farmer. The traditional methods are not sufficient & satisfactory for chopping the crop residues. Whereas buying the chemical fertilizer is not possible for every farmer due to its high cost. Organic waste chopping or shredding machine accelerates the process of composting by increasing the surface area of crop residues for aerobic degradation thereby reducing the time to obtain the compost from 4 Months to 3 Months. When the crop residues come through the hopper in the cutting chamber then due to the cutting blades & hammer blades it gets chopped into different sizes depending on the diameter of the sieve used thereby increasing the surface area of residue to decompose early. A portable machine serves for various problems like moving from one place to another, requires less space & is less bulky as compared to the existing bulky machines. It also helps the farmers to start small business thereby making them self-dependent. Machine can be used for various purposes like chopping, to obtain animal fodder, bed for poultry birds, etc which makes it a multipurpose machine. Design & development of the machine done taking into consideration various literature reviews & needs of farmers. Fabrication with proper dimensions & consideration of required parameters provides for an efficient “Portable Organic Waste Chopping Machineâ€.
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Effect of Fly-Ash on Geotechnical Characteristics of Black Cotton Soil
Satyendra Singh Rajput ; Prof. R.K.Yadav
Geo Technical Engineering
Year: 2015, Volume:2, Issue : 3
Pages: 9 - 13
In this study, fly-ash is used as a stabilizing material to stabilize the expansive soil dealing with engineering characteristics as the parameter for it. Present paper describes a study carried out to check the improvement in the properties of expansive soil with fly-ash in varying percentages. Fly-ash is added in 10%, 20%, 30%, 40%, 50% and the change in index properties and engineering characteristics is examined. It has been found that significant variation in liquid limit, plasticity index, and swelling index. In expansive soil, liquid limit decreased from 55.2% to 36.3% and plasticity index decreased from 27.1% to 18.1% , differential free swell (DFS) also reduced from 52% to 14% respectively .the compaction test results showed increase in optimum moisture content (OMC) from 19% to 23% and decrease in maximum dry density (MDD) from 1.63g/cc to 1.52g/cc. Test result indicates that fly-ash has a potential to improve the properties of black cotton soil.
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Facial and Voice Recognition System using Biometrics Techniques
Alok Kumar ; Mrs. Monika Bansal
Computer Science and Engineering
Year: 2015, Volume:2, Issue : 3
Pages: 14 - 17
Biometrics is the technology of identifying uniquely human subjects by means of measuring and analyzing one or more intrinsic behavioral or physical traits. These human body characteristics include fingerprints, voice patterns, eye retinas and irises, facial patterns and hand measurements. Biometric systems include applications making use of biometric technologies and which allow the identification automatically, verification or authentication of a natural person. In principle, the processing of personal data involving the use of a biometric system is considered by privacy experts to be only justified in places demanding a high level of security and strict identification procedures.
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A Review on Mobility Models in Delay Tolerance Network
Beena Rani ; Mrs. Shailja kumari
Computer Science and Engineering
Year: 2015, Volume:2, Issue : 3
Pages: 18 - 21
Delay Tolerance Network (DTN) is a network used in large time delays communications long distance such as space communications and used in an environment where there is no end to end path connectivity. The messages are delivered using store and forward mechanism. There exists a variety of different types of mobility models in DTN like random mobility models (RMM), map based mobility models (MBM) etc. which play important role in evaluating DTN protocols. Various types of mobility models has been reviewed in this paper. The pros and cons of various mobility models has been studied along with their characteristics. The review provides a base to the researchers in choosing suitable mobility models in simulation to evaluate DTN network.
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Optimization of MRR and TWR on EDM by using Taguchi's Method and ANOVA Die Steel H13
Suresh Kumar Gurjar ; Rajeev Kumar
Mechanical Engineering
Year: 2015, Volume:2, Issue : 3
Pages: 22 - 28
Electrical Discharge Machining (EDM) is a non-traditional machining process where intricate and complex shapes can be machined. Only electrically conductive materials can be machined by this process and is one of the important machining processes for machining high strength, temperature-resistant (HSTR) alloys. It is capable of machining geometrically complex or hard materials, that are precise and difficult-to-machine such as heat treated tool steels, composites, super alloys, ceramics, carbides, heat resistant steels etc. These materials are being widely used in die and mould making industries, aerospace, aeronautics and nuclear industries. In this work Die steel H13 tool steel is the material used for the machining purpose. For achieving the best performance of the EDM process, it is crucial to carry out parametric design responses such as Material Removal Rate and Tool Wear Rate. It is essential to consider was used to reduce the total number of experiments. Parts of the experiment were conducted with the L9 orthogonal array based on the Taguchi method. Moreover, the signal-to-noise ratios associated with the observed values in the experiments were determined by which factor is most affected by the Responses of Material Removal Rate (MRR) and Tool Wear Rate (TWR). In the present work, Optimization of MRR and TWR on EDM conducted by using Taguchi and ANOVA.
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Energy Efficient Secure Routing Protocol (EESRP) in Wireless Sensor Network
Manoj Mehra ; Poonam Dabas
Computer Science and Engineering
Year: 2015, Volume:2, Issue : 3
Pages: 29 - 33
Wireless sensor networks (WSNs) consisting of various sensor nodes which are distributed autonomously over the network. These sensor nodes can sense, measure and collect information from the environment. Every sensor node is having its own energy source and it is non-rechargeable battery. Therefore the network must be designed in such a way that they can be able to make use of energy source in an efficient manner. These information are sometime very confidential and need to be secured e.g. in military applications. So, the security model of the network must be efficient enough to provide security in the same. In this paper, we have presented an Energy Efficient Secure Routing Protocol. This scheme introduces a new concept of ‘status’ for each cluster formed. The lower status means the cluster is at a farther distance from the base station. To prevent attacks on data during transmission, every transmission of data is preceded by sending of a check packet to the destination. Proposed scheme reduces the intra-cluster communication distance. Simulation shows that proposed scheme has better energy efficiency than EECHS scheme.
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Liver Tumor Detection using Artificial Neural Networks for Medical Images
Poonam Devi ; Poonam Dabas
Computer Science and Engineering
Year: 2015, Volume:2, Issue : 3
Pages: 34 - 38
The purpose of this study is to compare the performance of Back-Propagation Neural Network and Support Vector Machine (SVM) for liver cancer classification. The performance of both models is compared and validated in terms of accuracy within the true positive rate and false positive rate. The total 583 cases is examined, 418 cases are classified accurately as true Positive rate and remaining as the false negative rate. The comparative results show that the BPNN classifier outperforms SVM classifier where BPNN gives an accuracy of 73.23%, and SVM gives classification accuracy of 63.11%. This result indicates that the classification capability of BPNN is better than SVM and may potentially fill in a critical gap in the use of current or future classification algorithms for liver cancer.
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Approximate Point in Triangulation (APIT) based Localization Algorithm in Wireless Sensor Network
Rakhi Sharma ; Sona Malhotra
Computer Science and Engineering
Year: 2015, Volume:2, Issue : 3
Pages: 39 - 42
Wireless sensor Networks (WSN) is a collection of sensor nodes that performs transactions of data between themselves lacking the reliance on a wired backbone network. Sensor nodes are normally discriminated by their manipulated processing, domination and recollection resources. Localization is important when there is an uncertainty of the exact location of some fixed or mobile devices. An effective localization algorithm can then use all the available information from the wireless sensor nodes to infer the position of the individual devices .The localization methods could be divided into range methods, that would compute an estimation of the distances between two motes, or range-free methods, that would not. This paper proposed the localization and tracking the targets with efficient utilization of energy by using APIT method.
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Studies on Partial Replacement of Cement by Bagasse Ash in Concrete
Er. Shubham Srivastava ; Er. Puneet Kumar Shukla; Er. Kamal Kumar; Er. Piyush Kumar
Civil Engineering
Year: 2015, Volume:2, Issue : 3
Pages: 43 - 45
This paper carried out partial replacement of cement by bagasse ash in order to reduce industrial waste and to save cement and by saving cement reduced greenhouse gases emission and makes environmental green. The waste product sugarcane bagasse ash is already causing serious environmental problems. The effective use of these waste products is challenging task for researcher through environmental impact. Bagasse is often used as a primary fuel source for sugar mills; when burned in quantity, it produces sufficient heat energy to supply all the needs of a typical sugar mill, with energy to spare. Bagasse ash partially replaced in the ratio of 0%, 5%, 10%, 15% and 20%by weight of cement in four different experiment to find out maximum compressive strength and compare it with the strength of normal concrete by using grade M-30 at 7days and 28 days.
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Brain Tumor Detection using Modified Fuzzy Segmentation
Swati Deendyal ; Sona Malhotra
Computer Science and Engineering
Year: 2015, Volume:2, Issue : 3
Pages: 46 - 51
Designing a good measure for Medical segmentation is a known hard problem while the criteria of a good segmentation are often application-dependent and hard to explicitly define, for many applications the difference between a favorable segmentation and an inferior one is noticeable. Segmentation of medical images involves various image related problems. Medical Images contain noise that can alter the intensity of a pixel such that its classification becomes uncertain However It is possible and necessary to design efficient algorithms to find tumorous regions with segmentation algorithm this work is an effort in same direction utilizing Fuzzy Segmentation Algorithm.
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Abstract
