International Journal of Engineering and Techniques

09-15

Authors: P.Gayathri Devi, Dr.K.Ramani

The Internet of Things (IoT) is a system of interrelated computing devices, mechanical and digital machines, objects, animals or people that are provided with unique identifiers and the ability to transfer data over a network without requiring human-to-human or human-to-computer interaction. The IoT is enabled by the latest developments in smart sensors and communication technologies. The basic premise is to have smart sensors collaborate directly without human involvement to deliver a new class of applications. Internet of Things is playing a major role in automatic control of many applications remotely. In this paper a wide variety of IoT applications such as smart car parking system, voltage, temperature and frequency measurement, quiz game and electronic calculator are simulated using proteus software.

28 - 32

Authors: J Swapna Priya, Konakandla Prasanna Kumar

The web mining is a process which assumes an imperative role in breaking down the web users behavior. The web usage mining is a piece of web mining impacts web personalization. The point of this investigation is the taking out necessary data from web access log files and applying data mining technique for breaking down the shopping behavior of the customers through online.

40 - 47

Authors: R.Suganya, M. Pavithra, P.Nandhini

Big data is data sets that are so big and complex that traditional data-processing application software are inadequate to deal with them.Big Data is usually defined by three characteristics called 3Vs (Volume, Velocity and Variety). It refers to data that are too large, dynamic and complex. In this context, data are difficult to capture, store, manage, and analyze using traditional data management tools. Thus, the new conditions imposed by Big Data present serious challenges at different level, including data clustering. This paper aims to review the state of art and make a concise synthesis related to clustering techniques in Big Data context.

57 - 61

Authors: Victor O. Matthews, Aderibigbe Israel Adekitan, Uzairue Stanley Idiake, Etinosa Noma-Osaghae

This paper presents a novel smart meter design with a focus on the peculiarities of energy metering and billing challenges in Nigeria. The smart meter can be remotely configured at the control centre to work in either pre-paid or post-paid mode which allows for flexibility for various types of customers. The microcontroller based meter communicates with the energy company control centre via SMS using the embedded GSM Module. Using an LCD display or the globally accessible web based portal, the customer can track and manage their energy usage according to their financial means.

72 - 75

Authors: I.L. Madigawa, I.S. Madobi, A. Abdullahi, A.M. Umar

The research was conducted to assess the condition of the internal organs (liver, lung, heart, and small intestine) of slaughtered sheep and goat at Bachirawa abattoir in Ungogo local government, Kano state. A total of 23,638 sheep (both sexes) and 36,700 goats (both sexes) were slaughtered between August and October, 2012 which were used for the study. The organs were examined on the spot visually and through palpation or incision to identify abnormalities. Descriptive statistical analysis using simple percentage was used to analyze the data collected. The results indicated that, major pathological conditions were Faciolosis (5.71% in sheep, 4.09% in goats), Tuberculosis (4.32% in sheep 3.13% in goats), Pericarditis (3.86% in sheep 2.76% in goats), Contagious Caprine Pleuro-pneumonia (0.88% in sheep 0.68% in goats)-CCPP, round worms (2.96% in sheep 25.07% in goats) and tape worms (30.98% in sheep 21.66% in goats) infestations. Out of the 12,762 infected organs examined in goats, 990 (66%) liver, 828 (59%) lungs, 712 (70%) heart and 6,240 (70%) small intestine were partially salvaged. While, 510 (34%) liver, 572 (41%) lungs, 300 (30%) heart and 2,610 (30%) whole organs were condemned. In sheep 11,497 were examined and 933 (69%) liver, 799 (65%) lungs, 502 (55%) heart and 5,940 (74%) small intestines were partially salvaged. While, 414 (31%) liver, 428 (35%) lungs, 410 (445%) heart and 2,068 (26%) intestines whole organs condemned. The results of this study revealed the incidence of zoonotic diseases (CCPP and Tuberculosis) and highest occurrence of worm infestation in the slaughtered small ruminant at the abattoir. This necessitates the need for increase in the number of meat inspectors for proper record update which could be used by relevant authority in planning preventive and control programs.

87-94

Authors: Indira D, Venmathi Mahendran

In photovoltaic (PV) application, it is possible to remove the transformer from the PV system in order to reduce size, losses, and cost and improve the efficiency. Due to the characteristics of low cost and high efficiency, the transformerless PV grid-connected inverters have been popularized in the application of solar electric generation system in residential market. Unfortunately, presence of the parasitic capacitor between the panel�s metal frame and cells causes the leakage current issue. The leakage current increases current harmonics injected into the utility grid, the radiated, conducted EMI, and losses. Eliminating the leakage current is one of the most important issues for transformerless single-phase photovoltaic (PV) systems. This paper focuses on analysis of leakage current elimination in single-phase transformerless inverter for PV applications. A simple unipolar Sinusoidal Pulse-Width Modulation (SPWM) technique is used to modulate the inverter to minimize the switching loss, output current ripple, and the filter requirements.The main benefits of the proposed inverter are (1) The neutral of the grid is directly connected to the negative terminal of the PV panel, so the leakage current is eliminated, (2) low cost, (3) its compact size, (4) flexible grounding configuration, (5) capability of reactive power flow, and (6) high efficiency. A complete description of the operating principle and analysis of the proposed inverter are presented and simulation results are verified.

102-107

Authors: Minal Bharat Pokale, Dr. Sandeep Chaware

Cloud computing is one of the powerful computing that connect the whole world. Huge amount of data get uploaded over cloud so that it can be accessible by the user at any time and any point. Security must be concerned related to confidentiality of data, integrity of data, availability etc. Data stored over cloud is physically not accessible to the user. Data modification can be done by unauthorized user or by some malicious activity so user needs to be ensure that their data is secure or not. Therefore mechanism is required where user can check if integrity of its data is maintained or compromised. There are various methods are available such as mirroring but it require more storage space. Sometimes we need TPA to verify the data. In this, user check the integrity of its data store over cloud environment and detect the suspicious activity. For this new scheme �Data Provenance� is used, that collect the history data of user. On the basis of which, suspicious activity is detected. Provenance data is used to collect the history data and identify the user behaviour. Using this we reduce the need of TPA and replication of data item on client side for integrity checking as checking part is done over cloud infrastructure.

115-123

Authors: Iwan Rohman Setiawan, Novan Agung Mahardiono

The electricity supply of diesel power plant to the village office and library building in Seliu Island Village is still limited, to overcome the limitations of the power supply, then installed solar electric systems. the electrical system is installed by applying the principle of utility priority, Village Office and Library Building each using an automatic transfer switch, Village Office and Library Building will get electricity supply from the solar electric system automatically, if the power source from diesel power plant is not available. The amount of electricity provided by the solar electric system for the Village Office and Library Building on Seliu Island is 920 W respectively, or the total power provided is 1840 W.

131-134

Authors: Paridhi Gupta, Ravi Choudhary

Thermocouples are inefficient in measuring the temperature of the detonating carbon particles, whose temperature ranges from 1200K to over 1800K. An accurate and reliable method is required to measure such high temperatures of the carbon particles because temperature measurements will allow us to monitor and control the reaction kinetics of various industrially essential reactions. Optical pyrometry is thought to be one solution to this problem. It can be mono-color, two-color or multi-color. The two-color strategy is broadly utilized as a part of the non-contact temperature estimation of ignition blazes from radiation pictures, generally in view of the spectroscopic qualities of the picture sensor, and the delegate wavelengths for the red, green and blue channels of the picture shaping gadgets, for instance, Charge Coupled Device (CCD) cameras. In this research work, a strategy to get the temperature pictures from a digital advanced camera is delivered. The camera used for this work is Canon EOS750D Rebel T6i. In this strategy, it is important to catch picture data by the picture handling framework from a blackbody heater at various temperatures which cover the conceivable temperature scope of the ignition procedures to be estimated. The temperature measured by this method is validated in the literature. Modification in the existing method to make it more accurate is worthy of study.

143-157

Authors: Dr. Hanan A. R. Akkar, Dr. Wael A. H.Hadi, Ibraheem H. M. Al-Dosari

Out of many recent methods for leakagedetection,there exist a technique based on flow and pressure measurement but off course this need a nonlinear model simulation of fluid pipeline for processing the available data andsimulate the flow of a used fluid with proposed leakage occurrence. These various techniques in pipeline leakagedetection using ANN. The computational detailed analysis handled by accurateneural network models can replace the human intervention in theduty of monitoring fliudflow and pressure waveforms which tend to warnthe technical staff by the leakage occurrence and inform the magnitude andlocation of the leakage along the pipeline . This technique could be applied totrack the distribution networks of natural oil and gas pipelines as well as industrial,commercial and residential gas pipelines in order to have safety operation and avoiding severe human health injuries or hazard environmental conditions causedby toxic gas leakages. The numerical solution is complex and out of this work's scope, however considering the availability for experimental test-bed that can simulate the actual pipeline used in the oil industrial field. Testing the proposed model is satisfied by using a back propagation neural network with the data-set for the normal and different leakage kinds in the oil pipeline to analyze the events and classify the leak existing and its magnitude by using classification performance measure such as error performance and confusion matrix. So different algorithms for training the proposed model is adopted with various transfer function characteristics in the hidden and output layer neurons to investigate for the suitable algorithm and to search for the optimal transfer function for the leak classification problem.

163-168

Authors: Fatemeh Geran Gharakhili

In this paper, a wide dual-band non-uniform Normal Mode Helical (NMHA) is presented at UHF band. Two non-uniform NMHAs with different diameters that nested each other are used for increasing wideband. The proposed method can be lead to design wideband antenna and dual-band antenna with small frequency ratio. A sample antenna has been simulated and fabricated. Simulation results are shown that 7.6% and 9.95% fractional bandwidth (FBW) have obtained at center frequencies of 462 MHz and 905 MHz, respectively. There is a good agreement between simulation and measurement results.

176-178

Authors: P.Karthik, V.Revathi

In this paper process some cloud based on pre process architecture addressed to the cloud contributor and the cloud patrons. This architecture offers a search Service to each cloud consumer that allows customizing the visit process. The cloud contributor sees a complete overview of the infrastructure whereas the cloud consumer this is skilful by means of an adaptive distributed visit automatically deploy in the cloud transportation. This architecture. In intensive experimental estimate of performance and scalability have been done using a real deployment of a cloud computing infrastructure in which more than some process have been executed.

185-194

Authors: S.Virgawati, M.Mawardi, L.Sutiarso, S.Shibusawa, H.Segah, M.Kodaira

Farmers should aware of with-in field variability of soil property in precision farming practice. The problem is how to provide reliable, fast and inexpensive information of soil property in the subsurface from numerous soil samples and repeated measurement. The proximal soil sensing has emerged as a rapid and low-cost method for extensive investigation of soil property. The objective of this research was to develop calibration models based on laboratory Vis-NIR spectroscopy to predict the value of soil property at different growth stages of soybean crop on two small farms (Gunung Kidul and Bantul) in Yogyakarta Province. Some standard methods of soil analysis were applied to measure the soil texture, soil moisture content, soil organic matters, pH, N, P, K, Fe, and cation exchange capacity of 80 soil samples. An ASD Field-spectrophotometer was used to measure the reflectance of 240 soil samples. The partial least square regression (PLSR) was performed to establish the relationship between the measured soil properties with Vis-NIR soil reflectance spectra. The criteria to select the best calibration model was the largest coefficient of multiple determinations (R2) and the smallest of root mean square error (RMSE). The selected calibration model was used to predict soil property of other 160 samples. The ability of Vis-NIR spectra to predict values of soil property was categorized based on residual prediction deviation (RPD) values. The results revealed by RPD values showed that the models performed vary from excellent to unreliable to predict the value of soil property. Different pretreatment process following trial and error procedure should be performed in order to find the best correlations between the measured soil property and the spectra.The temporal and spatial soil variability maps of predicted soil property values were performed using the ArcGIS v.10.0 with inverse distance weighted (IDW) interpolation method. The map interpretation of soil variability with-in field was very helpful to study the correlation among the soil property and support the decision for farm management.