Taiwan Association of Engineering and Technology Innovation: E-Journals
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Prediction Primary Available Blend Biodiesel of Waste Oil from Aurantiochytrium sp. for General Diesel Engines
Get PDFChemical and enzyme transesterification were compared by discussing preliminary transesterification of waste oil of Aurantiochytrium sp., which was then used in transesterification for the primary available blend biodiesel for a general diesel engine in this study. We made progress on the winterized characteristics of the waste oil’s biodiesel of Aurantiochytrium sp. and its biodiesel, which included the reactivity parameters and properties. This approach led to the development of a novel idea for the evaluation of kinetic parameters of winterization, along with obtaining the suitable operation and storage conditions of biodiesel. Therefore, the waste oil of Aurantiochytrium sp. could be developed for biodiesel production and successfully made into a suitable blend diesel. Overall, we acquired the best condition of mixtures and the highly mixed rate of petrodiesel: biodiesel = 80 : 20 (activation energy of winterization 21.32 kJ/mol; onset temperature of winterization -4.15 °C; heat of combustion 43.15 MJ/kg; kinematic viscosity 3.51 mm2/s; flash point 67.5 °C), which was an appropriate blend biodiesel from the waste oil’s biodiesel of Aurantiochytrium sp.
Two Channel Assembling Strategies in Cognitive Radio Networks: a Performance Analysis
No full textTo maximize the spectrum hole (TV white space), a robust channel allocation policy featuring aggregation of several primary user idle resources (TVWS) into groups of useable secondary channels has been studied in literatures. However, to be applied in real world, the channel assembling strategies (CAS) must consider the factors that affect the quality and capacity of the available channels. This includes the dynamic wireless link, the signal to noise ratio, traffic class and enabling technique like adaptive modulation and coding (AMC). These make the strategies heterogeneous and robust. Motivated by this, we proposed two CAS called Immediate Blocking Strategy (IBS) and the Readjustment Based Strategy (RBS) that consider the heterogeneity of a wireless channel. An analytical framework to evaluate the performance of the strategies is developed. An investigation of the proposed CAS has shown to improve the secondary user (SU) performance in terms of capacity, blocking, forced termination (FT) and acceptance/admission probabilities respectively, depending on the system parameters selected. The investigation was validated by extensive system simulation
Comparative Study on Photovoltaic Pumping Systems Driven by Different Motors Optimized with Sliding Mode Control
Get PDFThis study investigates the performance of three different photovoltaic (PV) water pumping systems driven by three types of motors, namely a separately excited DC motor (DCM), an asynchronous motor (ASM), and a permanent magnet synchronous motor (PMSM), via a DC/DC buck-boost converter coupled to a centrifugal pump. The purpose of this study is to implement a fast and robust control for this type of a nonlinear system, controlled by sliding mode (SM). This paper presents an SM control technique for controlling a DC/DC buck-boost converter to transfer the maximum power delivered by the PV generator. Each component is studied and analyzed to simulate the global system in MATLAB/SIMULINK. The three systems are then compared to determine the overall effectiveness of the proposed command. The study concludes that the ASM-driven PV system yields highly favorable results and requires less maintenance compared with other systems
A Review of the State-of-the-Art on Combining Multiple NDT Techniques in Terms of Precise Fault Detection
Get PDFThe present industrial scenario demands optimum quality, feasible processing time and enhanced machine availability to cope-up with continuously increasing customer expectations. To achieve this target, it is mandatory to ensure the optimum performance and higher availability of machinery. Therefore, the present work begins with, review of the research work of different researchers, which includes the applied combinations from year 2000-2016 proceed with discussion on the parameters being checked before making combination of NDT and finally, covers the maintenance performance parameters for quantifying improvement in performance after combining NDT. The result indicates that very few researches uses combination of NDT’s, in areas like aeronautical, compressors etc., and most of the works done in composites to be tested without using any decision making technique. The researchers and practitioners can use the outcome of this work as a guideline for combining multiple NDT technique to achieve precise fault prediction and forecasting of upcoming failures
The Use of Genetic Programming to Evolve Passive Filter Circuits
Get PDFThis paper introduces the use of Genetic Programming (GP), Genetic Folding and symbolic circuit analysis in Matlab for the evolution of passive filter circuits. Instead of combining MATLAB and PSPICE in electronic circuit simulation, in this work, only MATLAB is used. It helps to reduce elapsed time for transferring the simulation between the two software packages. The circuit evolved from GP using the Matlab program and is automatically converted into a symbolic netlist also by using a Matlab code. The netlist is fed into symbolic circuit analysis in Matlab (SCAM); the SCAM is used to generate matrices that are used for simulation. In this case, it is used to analyse frequency response of passive low-pass, high-pass and band-pass filter circuits. The algorithm is tested with four different examples and the results presented have proved that the algorithm is efficient concerning the design wise. The work has provided an alternative way of using GP for the evolution of passive filter circuits
Preliminary Study on a System for Visualization of Big Data in SMEs
Get PDFThe 2012 White Paper on Information and Communications in Japan issued by the Ministry of Internal Affairs and Communications of Japan advocates use of big data under its “Special Theme: ICT-induced and accelerated Disaster Recovery and Japan’s Re-birth.” However, the analysis in the Japan Users Association of Information Systems’ white paper on its 2014 IT trend survey for companies reports that less than 10% of companies utilize big data, and it would appear that progress in its use is centered on large firms. Under such conditions, use of big data is becoming a challenge for the purpose of ensuring the survival and success of SMEs as well. As a result, R&D and technological support for SMEs are becoming pressing issues. However, at present there has been almost no academic research concerning policies and future directions for use of big data at SMEs. Accordingly, this study conducted the modelization of the procedure for visualization of big data for SMEs. Specifically, we organized the procedure as a tutorial, from obtaining data of Japanese hot-spring areas using web scraping, to visualizing them using the visualization software Cytoscape
Using Text Mining to Extract Issues for School: an Empirical Study of the Social Platform-Dcard
Get PDFNowadays, social network within sentiment analysis has become the main trend in text mining domain. There are many platforms have been analyzed, such as Facebook, Twitter, Instagram, and so on. In our manuscript, we attempt to extract the information about the sentiment polarity of messages (positive, neutral or negative) in a social platform “Dcard”. The users of Dcard are Taiwanese college students, and anonymous post is being used this in social platform, therefore, the user can express their opinion more freedom. We use Dcard to the sentiment polarity of messages in extract the information about the school; moreover, the school could get the feedback from this finding to improve their policy. In this paper, we used python to scrap the web page, and the sentiment lexicon would be built
The Design and Implementation of Scrambling Wavelength Hopping with AWG Router and Optical Switch over Secure WDM Network
Get PDFIn current experimental design, by exchanging the optical switch configured in front of arrayed waveguide grating (AWG) router, the wavelength hopping configuration was implemented over wavelength division multiplexing (WDM) network. In addition, in order to enhance the variable wavelength hopping pattern of proposed scheme, the transceiver oscillators were used to trigger the optical switch by a series of random and un-predictable electrical signal. The experiment results proved possible solution of secure WDM network that the wavelength hopping effect was monitored by optical spectrum analyzer (OSA) in optical domain. By using the oscilloscope for monitoring, the results showed the transmitted analogy signal of 10MHzwas extracted correctly by photo-detector while the wavelength hopping is happene
Intelligent Wireless Remote Control System Design for a Biped Robot
Get PDFThis paper presents the design and implementation of an intelligent wireless remote control system for a biped robot. A recurrent cerebellar model neural network (RCMNN) is introduced, then it is used for the walking control of a biped robot. Furthermore, the remote communication module is designed for the remote control of a robot. Finally, experimental results show that the developed system can achieve satisfactory control performance for the walking control of a high-order nonlinear biped robot
Simulated Energy Production and Performance Ratio of 5 MW Grid-Connected Photovoltaic under Tropical Savannah Climate in Kupang Timor Island of Indonesia
Get PDFThe objective of this paper is to obtain energy output and performance ratio of 5 MW grid-connected PV plant. The plant is located near the city of Kupang in the southeast of Indonesia. The location belongs to dry tropical climate with 28o C average daily temperature and 67% and 87% average sunshine index during the rainy and hot season respectively. Daily solar irradiation varies from 5.52 to 6.38 kWh/m2. The plant uses 21,840 poly-crystalline 230 W modules configured as 1,040 array strings, and each array consists of 21 series-connected modules. The array is ground-mounted, fixed-tilted at 15o and facing north. Maximum output is 5,023.2 kW. Conversion to AC is done by 250-unit inverter of 20 kW. Grid connection is via 10-unit of 630 KVA transformers. PVSyst simulation is fed with synthetic meteorological data which yielded annual energy of 7,476 MWh that varies monthly from 526 to 770 MWh, with an average of 623 MWh. Average annual yields are 4.08 kWh/kWp/day. Variation of tilt angles from 10o to 20o has small effects on energy output. Monthly performance ratio varies from 80% to 86% and average at 82%. Low-performance ratio is shown during May to August period which is likely caused by the high ambient temperature that affects the output of the solar module. PV loss due to temperature is the highest losses component at 11.2%.